/var/www/fkik/app/lib/SearchEngine/DefaultEngine.php:610 "Search Engine Debug 🔎 🪲"
Engine Type ⚙️: "SLiMS\SearchEngine\DefaultEngine"
SQL ⚙️: array:2 [ "count" => "select count(distinct b.biblio_id) from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic like ?))" "query" => "select b.biblio_id, b.title, b.image, b.isbn_issn, b.publish_year, mp.publisher_name as `publisher`, mpl.place_name as `publish_place`, b.labels, b.input_date, b.edition, b.collation, b.series_title, b.call_number from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic like ?)) order by b.last_update desc limit 10 offset 20" ]
Bind Value ⚒️: array:1 [ 0 => "%VASCULAR%" ]
AbstractMechanistic evidence suggests that arsenic expo-sure from drinking water increases the production of reactive oxygen species and influences inflammatory responses and endothelial nitric oxide homeostasis. These arsenic-induced events may lead to endothelial dysfunction that increases the risk of atherosclerosis and cardiovascular disease. We reviewed accumulating epidemiologic evidence…
Abstract Concomitant acute myocardial infarction and ischemic cerebrovascular accidents has been rarely reported in the literature. In this report, we are describing a 48 year old male patient who presented with acute infero-posterior and right ventricular transmural myocardial infarction followed within one hour with massive cerebral infarction and deep coma. The patient succumbed to cardioge…
Abstract Background: We aimed to verify the association of risk behavior aggregation in different categories of physical activity (PA) with the presence of cardiovascular risk factors (RF) employees at a public university. Method: We analyzed data of 376 employees, which were visited in their workplace for measurement of weight, height and questionnaires to identify the risk behaviors and r…