{"title":"The Clinical and Pathological Characteristics of Neonatal Cholestasis","authors":"Nizar Bakir Yahya, Ali Abdulghani Ramadhan","doi":"10.51847/oeqw0zufby","DOIUrl":"https://doi.org/10.51847/oeqw0zufby","url":null,"abstract":"","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135261950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristian Delcea, Ana Simona Bululoi, Manuela Gyorgy, Dana Rad
Psychological distress represents a complex and pervasive concern impacting individuals globally, characterized by a wide spectrum of emotional, cognitive, and physiological experiences. This multifaceted phenomenon is frequently intertwined with the presence of maladaptive cognitive schemas and heightened levels of anxiety, both recognized as contributing factors. Accurate prediction of psychological distress is of paramount significance for clinicians, researchers, and healthcare practitioners as it can drive early interventions, and personalized treatment plans, and optimize resource allocation. This research delves into the predictive capabilities of maladaptive cognitive schemas and anxiety in the context of psychological distress, employing the Random Forest Regression (RFR) algorithm. The RFR algorithm, a powerful ensemble learning method, offers the potential to comprehensively explore the intricate interplay of variables and predictors, enhancing the precision of psychological distress prediction. By harnessing the capabilities of this advanced algorithm, we seek to provide a more robust framework for understanding, assessing, and addressing psychological distress. This research aspires to illuminate the predictive potential of maladaptive cognitive schemas and anxiety, thereby contributing to the development of more effective early interventions and personalized treatment strategies. Ultimately, this study holds the promise of significantly improving our capacity to predict and intervene in cases of psychological distress, ultimately enhancing the well-being of individuals and the efficiency of healthcare delivery. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.
{"title":"Psychological Distress Prediction Based on Maladaptive Cognitive Schemas and Anxiety with Random Forest Regression Algorithm","authors":"Cristian Delcea, Ana Simona Bululoi, Manuela Gyorgy, Dana Rad","doi":"10.51847/ukrb1pafyv","DOIUrl":"https://doi.org/10.51847/ukrb1pafyv","url":null,"abstract":"Psychological distress represents a complex and pervasive concern impacting individuals globally, characterized by a wide spectrum of emotional, cognitive, and physiological experiences. This multifaceted phenomenon is frequently intertwined with the presence of maladaptive cognitive schemas and heightened levels of anxiety, both recognized as contributing factors. Accurate prediction of psychological distress is of paramount significance for clinicians, researchers, and healthcare practitioners as it can drive early interventions, and personalized treatment plans, and optimize resource allocation. This research delves into the predictive capabilities of maladaptive cognitive schemas and anxiety in the context of psychological distress, employing the Random Forest Regression (RFR) algorithm. The RFR algorithm, a powerful ensemble learning method, offers the potential to comprehensively explore the intricate interplay of variables and predictors, enhancing the precision of psychological distress prediction. By harnessing the capabilities of this advanced algorithm, we seek to provide a more robust framework for understanding, assessing, and addressing psychological distress. This research aspires to illuminate the predictive potential of maladaptive cognitive schemas and anxiety, thereby contributing to the development of more effective early interventions and personalized treatment strategies. Ultimately, this study holds the promise of significantly improving our capacity to predict and intervene in cases of psychological distress, ultimately enhancing the well-being of individuals and the efficiency of healthcare delivery. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135611267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Yuvaraj, R. Priyadharshini, Rajesh Kumar, P. Sinduja
{"title":"Anti-Inflammatory and Antifungal Activity of Zinc Oxide Nanoparticle Using Red Sandalwood Extract","authors":"A. Yuvaraj, R. Priyadharshini, Rajesh Kumar, P. Sinduja","doi":"10.51847/igbzzfdf54","DOIUrl":"https://doi.org/10.51847/igbzzfdf54","url":null,"abstract":"","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44650581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radu Fodor, Florica Voiță-Mekereș, M. Indrieș, Corina Beiușanu, Gineta Andreescu, Ioan Bogdan Voiță, Hassan Noor, T. Maghiar
This paper aims to analyze the potentially increased cardiovascular risk factors after spinal cord injury (SCI). Taking into account the pathophysiological mechanism of SCI, clinical presentation, and short-and long-term effects, this paper evaluates the prevalence of cardiovascular disorders. Reduced physical activity, low HDL cholesterol, an increase in body fat percentage, poor glucose tolerance, insulin resistance, psychosocial factors, and the hypothesised impacts of SCI on emerging risk factors are all potential increased cardiovascular risk factors following SCI. Nutritional counselling and intervention are especially crucial because people with SCI frequently eat less than is ideal. Screening for risk factors and a worldwide assessment of the risk of coronary heart disease are the first steps in prevention. People with chronic SCI are more likely to have poor glucose tolerance, insulin resistance, and hyperinsulinemia, according to reports. Important therapies for these patients include weight management, dietary adjustments, exercise, and glycemic control. Successful prevention to lower the risk of cardiovascular disease requires both patient and physician motivation. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.
{"title":"Risk Factors and Prevention of Cardiovascular Dysfunctions After Spinal Cord Injuries. A Literature Review","authors":"Radu Fodor, Florica Voiță-Mekereș, M. Indrieș, Corina Beiușanu, Gineta Andreescu, Ioan Bogdan Voiță, Hassan Noor, T. Maghiar","doi":"10.51847/iae3qqag4f","DOIUrl":"https://doi.org/10.51847/iae3qqag4f","url":null,"abstract":"This paper aims to analyze the potentially increased cardiovascular risk factors after spinal cord injury (SCI). Taking into account the pathophysiological mechanism of SCI, clinical presentation, and short-and long-term effects, this paper evaluates the prevalence of cardiovascular disorders. Reduced physical activity, low HDL cholesterol, an increase in body fat percentage, poor glucose tolerance, insulin resistance, psychosocial factors, and the hypothesised impacts of SCI on emerging risk factors are all potential increased cardiovascular risk factors following SCI. Nutritional counselling and intervention are especially crucial because people with SCI frequently eat less than is ideal. Screening for risk factors and a worldwide assessment of the risk of coronary heart disease are the first steps in prevention. People with chronic SCI are more likely to have poor glucose tolerance, insulin resistance, and hyperinsulinemia, according to reports. Important therapies for these patients include weight management, dietary adjustments, exercise, and glycemic control. Successful prevention to lower the risk of cardiovascular disease requires both patient and physician motivation. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70823746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Boutlelis Djahra, Fatia Zoubiri, M. Benkaddour, Soulef Gouasmia
{"title":"Antioxidant and Hepatoprotective Activity of Ephedra alata Extracts against Intoxication with Deltamethrin Pesticide in Male Rats","authors":"Ali Boutlelis Djahra, Fatia Zoubiri, M. Benkaddour, Soulef Gouasmia","doi":"10.51847/jvqlbdzpr6","DOIUrl":"https://doi.org/10.51847/jvqlbdzpr6","url":null,"abstract":"","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70825556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manal Adam Motkhatr, Musa Mohamed Khier, Sufian Khalid Mohamed, M. Elamin, W. A. Khan, H. Badri, A. Osman
Coronavirus disease (COVID-19) is an infectious disease caused by a new coronavirus strain. Malaria is a parasitic disease caused by protozoan parasites of the genus Plasmodium, transmitted by mosquitoes of the genus Anopheles. The dual infection of malaria and COVID-19 is not fully understood or reported. We aimed to identify the association between malaria and COVID-19, its severity, management, and clinical outcome. This is a prospective hospital-based study conducted in isolation centers in Khartoum state during the period from October to December 2020. We used the total coverage method as a sampling technique to include participants from Khartoum isolation. We included 143 participants chosen from three centers. Data were collected from the patients and their files for those who met inclusion criteria using a questionnaire as a study tool filled out by the principal researcher. All participants in this study were COVID-19 patients diagnosed by PCR. Malaria was diagnosed in 115 patients (80.4%), and fever was the most common presenting symptom that occurred in all patients followed by fatigability in 125 (87.4%), cough in 115 (80.4), and headache in 83 (58.1%). This study found an association between malaria and COVID-19. And revealed that there is a better outcome for the patient with malaria and COVID-19 compared to those without malaria (p-value=0.036). This study
{"title":"Prevalence of Malaria Among COVID-19, Exhibit Severity, Management, and Outcome","authors":"Manal Adam Motkhatr, Musa Mohamed Khier, Sufian Khalid Mohamed, M. Elamin, W. A. Khan, H. Badri, A. Osman","doi":"10.51847/twwfp3c6s4","DOIUrl":"https://doi.org/10.51847/twwfp3c6s4","url":null,"abstract":"Coronavirus disease (COVID-19) is an infectious disease caused by a new coronavirus strain. Malaria is a parasitic disease caused by protozoan parasites of the genus Plasmodium, transmitted by mosquitoes of the genus Anopheles. The dual infection of malaria and COVID-19 is not fully understood or reported. We aimed to identify the association between malaria and COVID-19, its severity, management, and clinical outcome. This is a prospective hospital-based study conducted in isolation centers in Khartoum state during the period from October to December 2020. We used the total coverage method as a sampling technique to include participants from Khartoum isolation. We included 143 participants chosen from three centers. Data were collected from the patients and their files for those who met inclusion criteria using a questionnaire as a study tool filled out by the principal researcher. All participants in this study were COVID-19 patients diagnosed by PCR. Malaria was diagnosed in 115 patients (80.4%), and fever was the most common presenting symptom that occurred in all patients followed by fatigability in 125 (87.4%), cough in 115 (80.4), and headache in 83 (58.1%). This study found an association between malaria and COVID-19. And revealed that there is a better outcome for the patient with malaria and COVID-19 compared to those without malaria (p-value=0.036). This study","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70835302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Alomair, A. M. S. Alabid, F. Alrayes, R. B. Almusayyab, Ola Ali Almajed, F. Albalawi, Z. M. Alruwaili
{"title":"Awareness of Physicians about Stroke in Emergency Settings in the Al-Jouf Region, Saudi Arabia","authors":"B. Alomair, A. M. S. Alabid, F. Alrayes, R. B. Almusayyab, Ola Ali Almajed, F. Albalawi, Z. M. Alruwaili","doi":"10.51847/vfwqex21f5","DOIUrl":"https://doi.org/10.51847/vfwqex21f5","url":null,"abstract":"","PeriodicalId":20012,"journal":{"name":"Pharmacophore","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70836725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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