Array
(
[0] => Array
(
[function] => coreErrorHandler
[class] => Exceptions\CoreException
[type] => ::
[args] => Array
(
[0] => 2
[1] => sprintf(): Too few arguments
[2] => /var/www/isramed/data/triz/App/Views/Widgets/Selectlanguages.php
[3] => 14
[4] => Array
(
[name] => selectlanguages
[tpl] => Selectlanguages
[log_file] => /var/www/isramed/data/triz//Log/Core_View_ViewBundleAbstract_getWidget.txt
[date_str] => 2024-11-21 19:45
[file_rows_arr] => Array
(
[0] => ___ Core/View/ViewBundleAbstract -> function getWidget ___ 2024-11-21 19:45
[1] => ... name: banner
[2] => ... this -> _widget - ok
[3] => ... file_exists (?): /var/www/isramed/data/triz//App/Views/Widgets/Banner.php
[4] => ... lang_name: ru ... lang_code: ru-ru ... lang_pref: ru/
[5] => ....... - ok
[6] =>
[7] => =====================
[8] => ... name: search
[9] =>
[10] => =====================
[11] => ... name: lottery
[12] =>
[13] => =====================
[14] => ... name: showcase
[15] =>
[16] => =====================
[17] => ... name: showcase
[18] =>
[19] => =====================
[20] => ... name: menu
[21] => ... this -> _widget - ok
[22] => ... file_exists (?): /var/www/isramed/data/triz//App/Views/Widgets/Menu.php
[23] => ... lang_name: ru ... lang_code: ru-ru ... lang_pref: ru/
[24] => ....... - ok
)
[file_row_0] => ___ Core/View/ViewBundleAbstract -> function getWidget ___ 2024-11-21 19:45
[fl] => Resource id #248
[lang_name] => ru
[lang] => App\Controllers\LanguageController Object
(
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[lang_name] => ru
[lang_front_pref] => ru/
[data:App\Controllers\LanguageController:private] => Array
(
)
[lang_model] => App\Models\Language Object
(
[dbs:App\Models\Language:private] => Database\Adapters\MyPDO Object
(
[lastError:Database\Adapters\MyPDO:private] =>
)
[lang_code] => en-gb
[lang_name] => en
)
[_widget:Controller\PageControllerAbstract:private] =>
)
[lang_code] => ru-ru
[lang_code_default] => en-gb
[lang_pref] => ru/
[settings] => Array
(
[0] => Array
(
[settings_id] => 1
[settings_text] => <table border="2" width="100%">
<tbody>
<tr>
<td style="vertical-align: middle;" width="35%">
<div style="color: #6699cc; font-size: 18pt; margin: 5px 15px;">You are welcome to IsraMed.Info Server, the Israel Medical Equipment <br />e-Marketplace, that allows you ></div>
</td>
<td bgcolor="6699cc" width="65%">
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; padding-left: 3px; display: list-item; list-style: circle outside;">bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions. </div>
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; display: list-item; list-style: circle outside;">using instant data and price exchange, access to different data formats.</div>
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; display: list-item; list-style: circle outside;">creating on-line products catalogs, search for the products/services, request and get prices etc.</div>
</td>
</tr>
</tbody>
</table>
<p> </p>
[settings_footer] => <footer>
<div class="wrapper-center main-content">
<div class="logo"><img src="../../../new_desing/images/logo-footer.png" alt="" />
<div class="tagline">B2B Israel Medical<br />e-MarketPlace</div>
</div>
<div class="col-1">
<div class="caption">IsraMed<a href="admin/cabinet">.</a>Info Catalog</div>
<ul class="footer-list-items">
<li class="footer-list-item"><a href="../../../index/manufactures">Manufacturers</a></li>
<li class="footer-list-item"><a href="../../../index/medcategory">Medical Categories</a></li>
<li class="footer-list-item"><a href="../../../?search=&submit_search=&ENGINE=mems&ms[]=name&group=1">Israeli Suppliers</a></li>
<li class="footer-list-item"><a href="../../../?search=&submit_search=&type=mems&ms[]=name&group=2">Hospitals</a></li>
</ul>
</div>
<div class="col-2">
<div class="caption">my profile</div>
<ul class="footer-list-items">
<li class="footer-list-item"><a href="../../../docbox">DocBox</a></li>
<li class="footer-list-item"><a href="../../../cabinet/index">Personal page</a></li>
<li class="footer-list-item"><a href="../../../cabinet/editProfile">Edit Profile</a></li>
<li class="footer-list-item"><a href="../../../cabinet/catalog">Edit Activities</a></li>
</ul>
</div>
<div class="col-3">
<div class="caption">contacts us</div>
<div class="number-phone">
<p class="email2"> (972)52-6776205</p>
</div>
<span style="color: #ffffff;"><a style="color: #ffffff;" href="mailto:support@isramed.info">support@isramed.info</a></span></div>
<div class="col-4"><!--
<div class="caption social">We are in the social network
<div class="social-item"><a title="1" href="../../../"> <img class="fb" src="../../../new_desing/images/index.png" alt="" /></a> <a title="222222222222" href="../../../index.php?module=htmlpages&func=viewpage&page_id=204" target="_blank"> <img class="in" src="../../../new_desing/images/index_1.png" alt="" /></a> <a title="Заголовок" href="../../../index.php?module=htmlpages&func=viewpage&page_id=203" target="_blank"> <img class="tw" src="../../../new_desing/images/index23.png" alt="" /></a></div>
-->
<div class="social-item"> </div>
</div>
</div>
<div class="copyright">
<div class="wrapper-center">
<p>Copyright © 2011 IsraMed.Info</p>
</div>
</div>
</footer>
[settings_search] => <p style="text-align: justify;">This request form is intended for user direct appeal to the site administrator for product/service information or another subject. This request may be performed by the decision of the site administrator only.</p>
)
)
[banners] => Array
(
)
[menu] => Array
(
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(
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[menu_name] => Home
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[menu_url] => /
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[menu_group] => general
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[child] =>
)
[1] => Array
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[menu_name] => Create account
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[child] =>
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[0] => Array
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[menu_name] => Menu name
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[direction] => ltr
[controller] => Index
[lang_arr] => Array
(
[0] => Array
(
[code] => ru-ru
[directory] => ru-ru
[name_url] => ru
[name_full] => Русский
)
[1] => Array
(
[code] => en-gb
[directory] => en-gb
[name_url] => en
[name_full] => English
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[name_url] => he
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[article] => Array
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[0] => Array
(
[article_id] => 1
[article_title] => Статья 1 "Семена лета".
[article_text] => Все основные подробности операции "Семена лета" по освобождению заложников
Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
В 11:00 был отдан приказ офицерам "Ямама" и ШАБАКа совершить рейд в два многоэтажных здания в центральном районе Газы Нусейрат, где ХАМАС удерживал заложников Ноа Аргамани, Альмог Меир Джан, Андрея Козлова и Шломи Зив.
Читайте нас в Telegram: только самые актуальные и проверенные новости
Здания находились на расстоянии около 200 метров друг от друга, и решение атаковать оба объекта одновременно, а не один из них, было обусловлено возможностью того, что ХАМАС может убить заложников после идентификации спасательной операции.
Аргамани удерживалась охранниками ХАМАСа в доме одной из палестинских семей, а остальные три заложника - в отдельном доме. По данным ЦАХАЛа, ХАМАС платит таким семьям за содержание заложников в своих домах.
В доме, где удерживались Меир Ян, Козлов и Зив, завязался серьезный бой, в ходе которого офицер "Ямама" старший инспектор Арнон Замора, командовавший спасательной группой, был тяжело ранен огнем ХАМАСа.
Когда троих заложников и Замору извлекали, их машина попала под обстрел, в результате чего застряла. Другие силы быстро прибыли на место происшествия и доставили их на импровизированную вертолетную площадку в Газе.
В ходе операции спасатели подверглись массированному обстрелу из автоматов и РПГ, в результате чего наземные войска и ВВС нанесли по району крупные удары, чтобы защитить спасенных заложников. ЦАХАЛ признает, что в ходе боев погибло много палестинских гражданских лиц, хотя и возлагает вину на
ХАМАС за удержание заложников в гражданском окружении.
Во время операции боевики ХАМАСа также безуспешно обстреливали зенитными ракетами израильские вертолеты.
The name of the joint IDF, Shin Bet, and police operation to rescue the four hostages from the Gaza Strip is "Seeds of Summer."
At 11:00 a.m. the order was given to the Yamam and Shin Bet officers to raid two multi-story buildings in central Gaza's Nuseirat, where Hamas was…
[article_description] => Все основные подробности операции "Семена лета" по освобождению заложников Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
[article_keywords] => Ключевые слова Статья 1
[article_img] => 888800bbbc.png
[article_status] => 1
)
)
[language] => Array
(
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[code] => ru-ru
)
[article_top_arr] => Array
(
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border="0" width="360" height="183">The <strong>Think-Tech Center</strong> has developed and introduced the groundbreaking <strong>AI-SIS technology</strong> - an innovative digital platform with the <strong>AI-SIS Constructor</strong> algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions. <br>To log into the<strong> AI-SIS Platform</strong> and <strong>AI-SIS Constructor</strong> tools, enter your login information in the upper right corner.<br><br><strong>The brains behind the technology:</strong><br><strong>Prof. A. Chernobelsky, </strong>leading expert in inventive problem-solving<br><strong>Engineer I. Guro, </strong>specialist in complex algorithm and application development, AI-promt engineering.</p>
<p><br><strong>Unique features of AI-SIS technology:</strong><br>- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.<br>- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.<br>- AI-SIS Constructor provides additional features for individual and group learning with remote support. <br>- The problem-solving process is intuitively understandable, convenient and highly automated.<br>- The algorithm program is easily customizable for different types and complexity levels of problems.<br>- The algorithm interface is multilingual and adaptable.<br>- The platform is ideal for developing innovations in companies of any scale and online group learning.<br>- Generates a set of high-quality breakthrough solutions <br>- Provides high speed of solving problems of any complexity<br>- Allows to obtain technologically easy to implement solution<br>- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."</p>
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<div style="color: #6699cc; font-size: 18pt; margin: 5px 15px;">You are welcome to IsraMed.Info Server, the Israel Medical Equipment <br />e-Marketplace, that allows you ></div>
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<td bgcolor="6699cc" width="65%">
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; padding-left: 3px; display: list-item; list-style: circle outside;">bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions. </div>
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; display: list-item; list-style: circle outside;">using instant data and price exchange, access to different data formats.</div>
<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; display: list-item; list-style: circle outside;">creating on-line products catalogs, search for the products/services, request and get prices etc.</div>
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<div class="logo"><img src="../../../new_desing/images/logo-footer.png" alt="" />
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<div class="caption">IsraMed<a href="admin/cabinet">.</a>Info Catalog</div>
<ul class="footer-list-items">
<li class="footer-list-item"><a href="../../../index/manufactures">Manufacturers</a></li>
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<div class="caption">contacts us</div>
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<p class="email2"> (972)52-6776205</p>
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<span style="color: #ffffff;"><a style="color: #ffffff;" href="mailto:support@isramed.info">support@isramed.info</a></span></div>
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<p>Copyright © 2011 IsraMed.Info</p>
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[article_title] => Статья 1 "Семена лета".
[article_text] => Все основные подробности операции "Семена лета" по освобождению заложников
Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
В 11:00 был отдан приказ офицерам "Ямама" и ШАБАКа совершить рейд в два многоэтажных здания в центральном районе Газы Нусейрат, где ХАМАС удерживал заложников Ноа Аргамани, Альмог Меир Джан, Андрея Козлова и Шломи Зив.
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Здания находились на расстоянии около 200 метров друг от друга, и решение атаковать оба объекта одновременно, а не один из них, было обусловлено возможностью того, что ХАМАС может убить заложников после идентификации спасательной операции.
Аргамани удерживалась охранниками ХАМАСа в доме одной из палестинских семей, а остальные три заложника - в отдельном доме. По данным ЦАХАЛа, ХАМАС платит таким семьям за содержание заложников в своих домах.
В доме, где удерживались Меир Ян, Козлов и Зив, завязался серьезный бой, в ходе которого офицер "Ямама" старший инспектор Арнон Замора, командовавший спасательной группой, был тяжело ранен огнем ХАМАСа.
Когда троих заложников и Замору извлекали, их машина попала под обстрел, в результате чего застряла. Другие силы быстро прибыли на место происшествия и доставили их на импровизированную вертолетную площадку в Газе.
В ходе операции спасатели подверглись массированному обстрелу из автоматов и РПГ, в результате чего наземные войска и ВВС нанесли по району крупные удары, чтобы защитить спасенных заложников. ЦАХАЛ признает, что в ходе боев погибло много палестинских гражданских лиц, хотя и возлагает вину на
ХАМАС за удержание заложников в гражданском окружении.
Во время операции боевики ХАМАСа также безуспешно обстреливали зенитными ракетами израильские вертолеты.
The name of the joint IDF, Shin Bet, and police operation to rescue the four hostages from the Gaza Strip is "Seeds of Summer."
At 11:00 a.m. the order was given to the Yamam and Shin Bet officers to raid two multi-story buildings in central Gaza's Nuseirat, where Hamas was…
[article_description] => Все основные подробности операции "Семена лета" по освобождению заложников Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
[article_keywords] => Ключевые слова Статья 1
[article_img] => 888800bbbc.png
[article_status] => 1
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border="0" width="360" height="183">The <strong>Think-Tech Center</strong> has developed and introduced the groundbreaking <strong>AI-SIS technology</strong> - an innovative digital platform with the <strong>AI-SIS Constructor</strong> algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions. <br>To log into the<strong> AI-SIS Platform</strong> and <strong>AI-SIS Constructor</strong> tools, enter your login information in the upper right corner.<br><br><strong>The brains behind the technology:</strong><br><strong>Prof. A. Chernobelsky, </strong>leading expert in inventive problem-solving<br><strong>Engineer I. Guro, </strong>specialist in complex algorithm and application development, AI-promt engineering.</p>
<p><br><strong>Unique features of AI-SIS technology:</strong><br>- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.<br>- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.<br>- AI-SIS Constructor provides additional features for individual and group learning with remote support. <br>- The problem-solving process is intuitively understandable, convenient and highly automated.<br>- The algorithm program is easily customizable for different types and complexity levels of problems.<br>- The algorithm interface is multilingual and adaptable.<br>- The platform is ideal for developing innovations in companies of any scale and online group learning.<br>- Generates a set of high-quality breakthrough solutions <br>- Provides high speed of solving problems of any complexity<br>- Allows to obtain technologically easy to implement solution<br>- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."</p>
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The Think-Tech Center has developed and introduced the groundbreaking AI-SIS technology - an innovative digital platform with the AI-SIS Constructor algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions.
To log into the AI-SIS Platform and AI-SIS Constructor tools, enter your login information in the upper right corner.
The brains behind the technology:
Prof. A. Chernobelsky, leading expert in inventive problem-solving
Engineer I. Guro, specialist in complex algorithm and application development, AI-promt engineering.
Unique features of AI-SIS technology:
- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.
- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.
- AI-SIS Constructor provides additional features for individual and group learning with remote support.
- The problem-solving process is intuitively understandable, convenient and highly automated.
- The algorithm program is easily customizable for different types and complexity levels of problems.
- The algorithm interface is multilingual and adaptable.
- The platform is ideal for developing innovations in companies of any scale and online group learning.
- Generates a set of high-quality breakthrough solutions
- Provides high speed of solving problems of any complexity
- Allows to obtain technologically easy to implement solution
- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."
You are welcome to IsraMed.Info Server, the Israel Medical Equipment e-Marketplace, that allows you >
|
bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions.
using instant data and price exchange, access to different data formats.
creating on-line products catalogs, search for the products/services, request and get prices etc.
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<div style="color: #6699cc; font-size: 18pt; margin: 5px 15px;">You are welcome to IsraMed.Info Server, the Israel Medical Equipment <br />e-Marketplace, that allows you ></div>
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<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; padding-left: 3px; display: list-item; list-style: circle outside;">bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions. </div>
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<div class="logo"><img src="../../../new_desing/images/logo-footer.png" alt="" />
<div class="tagline">B2B Israel Medical<br />e-MarketPlace</div>
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[settings_search] => <p style="text-align: justify;">This request form is intended for user direct appeal to the site administrator for product/service information or another subject. This request may be performed by the decision of the site administrator only.</p>
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[article_title] => Статья 1 "Семена лета".
[article_text] => Все основные подробности операции "Семена лета" по освобождению заложников
Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
В 11:00 был отдан приказ офицерам "Ямама" и ШАБАКа совершить рейд в два многоэтажных здания в центральном районе Газы Нусейрат, где ХАМАС удерживал заложников Ноа Аргамани, Альмог Меир Джан, Андрея Козлова и Шломи Зив.
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Здания находились на расстоянии около 200 метров друг от друга, и решение атаковать оба объекта одновременно, а не один из них, было обусловлено возможностью того, что ХАМАС может убить заложников после идентификации спасательной операции.
Аргамани удерживалась охранниками ХАМАСа в доме одной из палестинских семей, а остальные три заложника - в отдельном доме. По данным ЦАХАЛа, ХАМАС платит таким семьям за содержание заложников в своих домах.
В доме, где удерживались Меир Ян, Козлов и Зив, завязался серьезный бой, в ходе которого офицер "Ямама" старший инспектор Арнон Замора, командовавший спасательной группой, был тяжело ранен огнем ХАМАСа.
Когда троих заложников и Замору извлекали, их машина попала под обстрел, в результате чего застряла. Другие силы быстро прибыли на место происшествия и доставили их на импровизированную вертолетную площадку в Газе.
В ходе операции спасатели подверглись массированному обстрелу из автоматов и РПГ, в результате чего наземные войска и ВВС нанесли по району крупные удары, чтобы защитить спасенных заложников. ЦАХАЛ признает, что в ходе боев погибло много палестинских гражданских лиц, хотя и возлагает вину на
ХАМАС за удержание заложников в гражданском окружении.
Во время операции боевики ХАМАСа также безуспешно обстреливали зенитными ракетами израильские вертолеты.
The name of the joint IDF, Shin Bet, and police operation to rescue the four hostages from the Gaza Strip is "Seeds of Summer."
At 11:00 a.m. the order was given to the Yamam and Shin Bet officers to raid two multi-story buildings in central Gaza's Nuseirat, where Hamas was…
[article_description] => Все основные подробности операции "Семена лета" по освобождению заложников Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
[article_keywords] => Ключевые слова Статья 1
[article_img] => 888800bbbc.png
[article_status] => 1
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border="0" width="360" height="183">The <strong>Think-Tech Center</strong> has developed and introduced the groundbreaking <strong>AI-SIS technology</strong> - an innovative digital platform with the <strong>AI-SIS Constructor</strong> algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions. <br>To log into the<strong> AI-SIS Platform</strong> and <strong>AI-SIS Constructor</strong> tools, enter your login information in the upper right corner.<br><br><strong>The brains behind the technology:</strong><br><strong>Prof. A. Chernobelsky, </strong>leading expert in inventive problem-solving<br><strong>Engineer I. Guro, </strong>specialist in complex algorithm and application development, AI-promt engineering.</p>
<p><br><strong>Unique features of AI-SIS technology:</strong><br>- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.<br>- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.<br>- AI-SIS Constructor provides additional features for individual and group learning with remote support. <br>- The problem-solving process is intuitively understandable, convenient and highly automated.<br>- The algorithm program is easily customizable for different types and complexity levels of problems.<br>- The algorithm interface is multilingual and adaptable.<br>- The platform is ideal for developing innovations in companies of any scale and online group learning.<br>- Generates a set of high-quality breakthrough solutions <br>- Provides high speed of solving problems of any complexity<br>- Allows to obtain technologically easy to implement solution<br>- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."</p>
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The Think-Tech Center has developed and introduced the groundbreaking AI-SIS technology - an innovative digital platform with the AI-SIS Constructor algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions.
To log into the AI-SIS Platform and AI-SIS Constructor tools, enter your login information in the upper right corner.
The brains behind the technology:
Prof. A. Chernobelsky, leading expert in inventive problem-solving
Engineer I. Guro, specialist in complex algorithm and application development, AI-promt engineering.
Unique features of AI-SIS technology:
- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.
- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.
- AI-SIS Constructor provides additional features for individual and group learning with remote support.
- The problem-solving process is intuitively understandable, convenient and highly automated.
- The algorithm program is easily customizable for different types and complexity levels of problems.
- The algorithm interface is multilingual and adaptable.
- The platform is ideal for developing innovations in companies of any scale and online group learning.
- Generates a set of high-quality breakthrough solutions
- Provides high speed of solving problems of any complexity
- Allows to obtain technologically easy to implement solution
- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."
You are welcome to IsraMed.Info Server, the Israel Medical Equipment e-Marketplace, that allows you >
|
bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions.
using instant data and price exchange, access to different data formats.
creating on-line products catalogs, search for the products/services, request and get prices etc.
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<div style="color: #6699cc; font-size: 18pt; margin: 5px 15px;">You are welcome to IsraMed.Info Server, the Israel Medical Equipment <br />e-Marketplace, that allows you ></div>
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<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; padding-left: 3px; display: list-item; list-style: circle outside;">bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions. </div>
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<div class="caption social">We are in the social network
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[article_title] => Статья 1 "Семена лета".
[article_text] => Все основные подробности операции "Семена лета" по освобождению заложников
Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
В 11:00 был отдан приказ офицерам "Ямама" и ШАБАКа совершить рейд в два многоэтажных здания в центральном районе Газы Нусейрат, где ХАМАС удерживал заложников Ноа Аргамани, Альмог Меир Джан, Андрея Козлова и Шломи Зив.
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Здания находились на расстоянии около 200 метров друг от друга, и решение атаковать оба объекта одновременно, а не один из них, было обусловлено возможностью того, что ХАМАС может убить заложников после идентификации спасательной операции.
Аргамани удерживалась охранниками ХАМАСа в доме одной из палестинских семей, а остальные три заложника - в отдельном доме. По данным ЦАХАЛа, ХАМАС платит таким семьям за содержание заложников в своих домах.
В доме, где удерживались Меир Ян, Козлов и Зив, завязался серьезный бой, в ходе которого офицер "Ямама" старший инспектор Арнон Замора, командовавший спасательной группой, был тяжело ранен огнем ХАМАСа.
Когда троих заложников и Замору извлекали, их машина попала под обстрел, в результате чего застряла. Другие силы быстро прибыли на место происшествия и доставили их на импровизированную вертолетную площадку в Газе.
В ходе операции спасатели подверглись массированному обстрелу из автоматов и РПГ, в результате чего наземные войска и ВВС нанесли по району крупные удары, чтобы защитить спасенных заложников. ЦАХАЛ признает, что в ходе боев погибло много палестинских гражданских лиц, хотя и возлагает вину на
ХАМАС за удержание заложников в гражданском окружении.
Во время операции боевики ХАМАСа также безуспешно обстреливали зенитными ракетами израильские вертолеты.
The name of the joint IDF, Shin Bet, and police operation to rescue the four hostages from the Gaza Strip is "Seeds of Summer."
At 11:00 a.m. the order was given to the Yamam and Shin Bet officers to raid two multi-story buildings in central Gaza's Nuseirat, where Hamas was…
[article_description] => Все основные подробности операции "Семена лета" по освобождению заложников Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
[article_keywords] => Ключевые слова Статья 1
[article_img] => 888800bbbc.png
[article_status] => 1
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border="0" width="360" height="183">The <strong>Think-Tech Center</strong> has developed and introduced the groundbreaking <strong>AI-SIS technology</strong> - an innovative digital platform with the <strong>AI-SIS Constructor</strong> algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions. <br>To log into the<strong> AI-SIS Platform</strong> and <strong>AI-SIS Constructor</strong> tools, enter your login information in the upper right corner.<br><br><strong>The brains behind the technology:</strong><br><strong>Prof. A. Chernobelsky, </strong>leading expert in inventive problem-solving<br><strong>Engineer I. Guro, </strong>specialist in complex algorithm and application development, AI-promt engineering.</p>
<p><br><strong>Unique features of AI-SIS technology:</strong><br>- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.<br>- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.<br>- AI-SIS Constructor provides additional features for individual and group learning with remote support. <br>- The problem-solving process is intuitively understandable, convenient and highly automated.<br>- The algorithm program is easily customizable for different types and complexity levels of problems.<br>- The algorithm interface is multilingual and adaptable.<br>- The platform is ideal for developing innovations in companies of any scale and online group learning.<br>- Generates a set of high-quality breakthrough solutions <br>- Provides high speed of solving problems of any complexity<br>- Allows to obtain technologically easy to implement solution<br>- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."</p>
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The Think-Tech Center has developed and introduced the groundbreaking AI-SIS technology - an innovative digital platform with the AI-SIS Constructor algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions.
To log into the AI-SIS Platform and AI-SIS Constructor tools, enter your login information in the upper right corner.
The brains behind the technology:
Prof. A. Chernobelsky, leading expert in inventive problem-solving
Engineer I. Guro, specialist in complex algorithm and application development, AI-promt engineering.
Unique features of AI-SIS technology:
- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.
- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.
- AI-SIS Constructor provides additional features for individual and group learning with remote support.
- The problem-solving process is intuitively understandable, convenient and highly automated.
- The algorithm program is easily customizable for different types and complexity levels of problems.
- The algorithm interface is multilingual and adaptable.
- The platform is ideal for developing innovations in companies of any scale and online group learning.
- Generates a set of high-quality breakthrough solutions
- Provides high speed of solving problems of any complexity
- Allows to obtain technologically easy to implement solution
- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."
You are welcome to IsraMed.Info Server, the Israel Medical Equipment e-Marketplace, that allows you >
|
bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions.
using instant data and price exchange, access to different data formats.
creating on-line products catalogs, search for the products/services, request and get prices etc.
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<div style="color: #6699cc; font-size: 18pt; margin: 5px 15px;">You are welcome to IsraMed.Info Server, the Israel Medical Equipment <br />e-Marketplace, that allows you ></div>
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<div style="color: #ffffff; font-size: 12pt; margin: 5px 5px 5px 25px; padding-left: 3px; display: list-item; list-style: circle outside;">bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions. </div>
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[article_title] => Статья 1 "Семена лета".
[article_text] => Все основные подробности операции "Семена лета" по освобождению заложников
Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
В 11:00 был отдан приказ офицерам "Ямама" и ШАБАКа совершить рейд в два многоэтажных здания в центральном районе Газы Нусейрат, где ХАМАС удерживал заложников Ноа Аргамани, Альмог Меир Джан, Андрея Козлова и Шломи Зив.
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Здания находились на расстоянии около 200 метров друг от друга, и решение атаковать оба объекта одновременно, а не один из них, было обусловлено возможностью того, что ХАМАС может убить заложников после идентификации спасательной операции.
Аргамани удерживалась охранниками ХАМАСа в доме одной из палестинских семей, а остальные три заложника - в отдельном доме. По данным ЦАХАЛа, ХАМАС платит таким семьям за содержание заложников в своих домах.
В доме, где удерживались Меир Ян, Козлов и Зив, завязался серьезный бой, в ходе которого офицер "Ямама" старший инспектор Арнон Замора, командовавший спасательной группой, был тяжело ранен огнем ХАМАСа.
Когда троих заложников и Замору извлекали, их машина попала под обстрел, в результате чего застряла. Другие силы быстро прибыли на место происшествия и доставили их на импровизированную вертолетную площадку в Газе.
В ходе операции спасатели подверглись массированному обстрелу из автоматов и РПГ, в результате чего наземные войска и ВВС нанесли по району крупные удары, чтобы защитить спасенных заложников. ЦАХАЛ признает, что в ходе боев погибло много палестинских гражданских лиц, хотя и возлагает вину на
ХАМАС за удержание заложников в гражданском окружении.
Во время операции боевики ХАМАСа также безуспешно обстреливали зенитными ракетами израильские вертолеты.
The name of the joint IDF, Shin Bet, and police operation to rescue the four hostages from the Gaza Strip is "Seeds of Summer."
At 11:00 a.m. the order was given to the Yamam and Shin Bet officers to raid two multi-story buildings in central Gaza's Nuseirat, where Hamas was…
[article_description] => Все основные подробности операции "Семена лета" по освобождению заложников Совместная операция ЦАХАЛа, ШАБАКа и полиции "Ямам" по спасению четырех заложников из Газы называется "Семена лета".
[article_keywords] => Ключевые слова Статья 1
[article_img] => 888800bbbc.png
[article_status] => 1
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border="0" width="360" height="183">The <strong>Think-Tech Center</strong> has developed and introduced the groundbreaking <strong>AI-SIS technology</strong> - an innovative digital platform with the <strong>AI-SIS Constructor</strong> algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions. <br>To log into the<strong> AI-SIS Platform</strong> and <strong>AI-SIS Constructor</strong> tools, enter your login information in the upper right corner.<br><br><strong>The brains behind the technology:</strong><br><strong>Prof. A. Chernobelsky, </strong>leading expert in inventive problem-solving<br><strong>Engineer I. Guro, </strong>specialist in complex algorithm and application development, AI-promt engineering.</p>
<p><br><strong>Unique features of AI-SIS technology:</strong><br>- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.<br>- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.<br>- AI-SIS Constructor provides additional features for individual and group learning with remote support. <br>- The problem-solving process is intuitively understandable, convenient and highly automated.<br>- The algorithm program is easily customizable for different types and complexity levels of problems.<br>- The algorithm interface is multilingual and adaptable.<br>- The platform is ideal for developing innovations in companies of any scale and online group learning.<br>- Generates a set of high-quality breakthrough solutions <br>- Provides high speed of solving problems of any complexity<br>- Allows to obtain technologically easy to implement solution<br>- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."</p>
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The Think-Tech Center has developed and introduced the groundbreaking AI-SIS technology - an innovative digital platform with the AI-SIS Constructor algorithm. It is the most efficient tool available for solving practical inventive problems and generating breakthrough solutions.
To log into the AI-SIS Platform and AI-SIS Constructor tools, enter your login information in the upper right corner.
The brains behind the technology:
Prof. A. Chernobelsky, leading expert in inventive problem-solving
Engineer I. Guro, specialist in complex algorithm and application development, AI-promt engineering.
Unique features of AI-SIS technology:
- AI-SIS technology is the most effective AI powered platform we know for solving practical inventive problems and creating breakthrough solutions.
- AI-SIS technology includes a secure online platform and AI-SIS Navigator for working on PCs and computer networks.
- AI-SIS Constructor provides additional features for individual and group learning with remote support.
- The problem-solving process is intuitively understandable, convenient and highly automated.
- The algorithm program is easily customizable for different types and complexity levels of problems.
- The algorithm interface is multilingual and adaptable.
- The platform is ideal for developing innovations in companies of any scale and online group learning.
- Generates a set of high-quality breakthrough solutions
- Provides high speed of solving problems of any complexity
- Allows to obtain technologically easy to implement solution
- AI-SIS technology is the perfect tool for developing an enterprise's innovation policy."
You are welcome to IsraMed.Info Server, the Israel Medical Equipment e-Marketplace, that allows you >
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bringing together on a common platform suppliers, buyers, hospitals, clinics, manufacturers, biomedical companies, venture capital funds, associations, academic and research institutions.
using instant data and price exchange, access to different data formats.
creating on-line products catalogs, search for the products/services, request and get prices etc.
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