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In today’s digital world, social media platforms generate a plethora of unstructured information. However, for low-resource languages like Urdu, there is a scarcity of well-structured data for specific tasks such as event classification. Urdu, a language prominent in South Asia, has boasted a complex morphological structure with unique features but has lacked standard linguistic resources like datasets. Long-text classification has demanded more effort than short-text classification due to its expansive vocabulary, information redundancy, and noise. Text processing has been the latest trend in research, with many machine learning and deep learning techniques widely used for it. Multiclass classification has been utilized to classify different languages for various purposes. In this research, a multiclass classification for the Urdu language was performed using a text dataset taken from five different social media platforms including Geo News, Samaa News, Dawn News, Express News, and Urdu Blogs totaling 103,771 sentences. We used sentence-level classification to categorize sentences including terrorist attacks, national news, sports, entertainment, politics, safety, earthquakes, fraud and corruption, sexual assault, weather, accidents, forces, inflation, murder and death, education, and international news. Deep learning, transformer-based and machine learning classifiers are used for event classification. The SMFCNN classifier achieved the greatest accuracy of 88.29%. We incorporated transformer-based models, with the proposed XLM-R+ model demonstrating superior performance with an accuracy of 89.8%. Our results were compared to previously reported techniques that used traditional models, highlighting the significant improvements offered by our approaches. The novelty of this research lies in the inclusion of 16 event categories to broaden coverage and the implementation of the SMFCNN and transformer-based algorithms. This study highlights the potential of deep learning and transformer-based models in enhancing the accuracy and generalizability of multiclass classification in low-resource languages Urdu.

Abstract Background Cervical cancer is the fourth most common cancer among women globally and second most common in India. As per WHO, almost 90% of new cases and deaths worldwide occurred in low- to middle-income countries in 2020. More than 95% of cervical cancers are associated with chronic Human papilloma virus infection (HPV). While high-income countries benefit from vaccination and screening programmes, such facilities are often unavailable in low- and middle-income regions. Diabetes is also rising in prevalence in these regions. It is associated with a higher risk of various cancers, including cervical, endometrial, stomach, breast, and pancreas cancers. Diabetic cancer patients are also observed to have poorer survival outcomes. This study aims to compare the prevalence of cervical pathologies in diabetic and non-diabetic females of reproductive age and investigate potential genetic overlaps. Methods We analysed pap smear records from diabetic and non-diabetic females and examined genetic data using GWAS to explore associations between diabetes mellitus, HPV infection, and cervical cancer. Results In total, 3325 pathologic sample records were analysed and 2411 genes were identified and explored for overlap between diabetes and cervical pathologies from available GWAS data. It was noted that diabetes was associated with higher occurrence of cervical pathologies like vaginitis (OR 1.42), cervicitis (OR 13.89), HPV infection (OR 2.38) and malignant changes (OR 1.29). On analysing available genetic data for diabetes mellitus (types 1 and 2), chronic HPV infection, CIN and cervical cancer, certain genes showed positive association with both spectrums (diabetes mellitus and cervical pathologies) like COLL11A2P1 (beta 0.06), INS-IGF2 (OR 1.63), TTC7B (OR 2.05) and SILC1 (OR 2.12). Conclusion The pathologic and genetic association may help in understanding the connection between the two diseases in a better way. It may also help in guiding targeted approach and screening programmes in regions with higher preponderance towards upregulation of such genes.

Abstract Glycerol carbonate (GC) can be produced from glycerol (GL), a low-value byproduct in the biodiesel industry. In this work, continuous processes of GC production via transesterification from crude GL and diethyl carbonate (DEC) were developed using Aspen Plus. Two cases were considered, and their process performances were compared. In Case I, a conventional design consisted of a continuously stirred tank reactor for the reaction section and a distillation column for the purification section. In Case II, a process intensification design consisted of a reactive distillation column that could accommodate both reaction and purification within a single column. In both cases, the process optimizations were carried out by connecting the process models in Aspen Plus to MATLAB, using the Genetic Algorithm as the optimizer. The results showed that Case II was superior to Case I in terms of energy utilization, CO2 emissions, and economics with the specific energy consumption of 1.92 kWh/kg of diethyl carbonate, % internal rate of return of 274, payback period of 1.44 years, and CO2 emissions of 0.26 kg CO2/kg DEC. Lastly, the proposed process in Case II was compared with the GC production using dimethyl carbonate (DMC). It was found that using DEC was superior to DMC due to easier separation and glycidol avoidance.

Abstract As demonstrated in the section above, the stock market place is a dynamic factor, which makes it possible for traders and investors to make good decisions based on the information acquired through accurate prediction. This research aims at improving the prediction of stock market by applying a new method to Multi-attribute Group Decision making (MAGDM). MAGDM goes through a cycle of evaluating and ranking several criteria hence enhancing the decision-making aspects further. To overcome the shortcomings of prior models, some EU and FU is incorporated by combining Zadeh’s $${\hat{Z}}$$ Z ^ -numbers with Picture Fuzzy Sets (PFSs). This integration is to enhance the ability of the model to address completely unclear decisions utilizing the peculiarities of $${\hat{Z}}$$ Z ^ -numbers. To compare decisions between decision-makers, we proposed picture fuzzy $${\hat{Z}}$$ Z ^ -numbers (PF $${\hat{Z}}$$ Z ^ N) and for their aggregation, introduced picture fuzzy weighted averaging, picture fuzzy ordered weighted averaging, picture fuzzy hybrid averaging, picture fuzzy weighted geometric, picture fuzzy ordered weighted geometric and picture fuzzy hybrid geometric operators based algebraic $${\mathfrak {T}}$$ T -norm ( $${\mathfrak {T}}-N$$ T - N ) and $${\mathfrak {T}}$$ T -conorm ( $${\mathfrak {T}}-CNs$$ T - C N s ) To verify the efficiency of our suggested technique, we compare these operators with the Combined Compromised Solution (CoCoSo) model focusing on the stock market analysis. Our results, therefore, show how these operators are important in improving decision making accuracy and precision in conditions of risk. This research laid down the basis for enhancing decision-making and dealing with uncertainty in different fields especially in the application of stock market prediction. The proposed methodology can be attributed to providing a systematic and a more efficient way of dealing with uncertainty which in one way or the other has an outcome of enhancing the credibility of the decision making process in the financial sector.

Abstract Background Autism is associated with alterations of social communication, such as during face-to-face interactions. This study aimed to probe face processing in autistics with normal IQ utilizing magnetoencephalography to examine event-related fields within the fusiform gyrus during face perception. Methods A case–control cohort of 22 individuals diagnosed with autism and 20 age-matched controls (all male, age 29.3 ± 6.9 years) underwent magnetoencephalographic scanning during an active task while observing neutral faces, face-like pareidolic objects, and non-face objects. The fusiform face area was identified using a face localizer for each participant, and the cortical activation pattern was normalized onto an average brain for subsequent analysis. Results Early post-stimulus activation amplitudes (before 100–200 ms) indicated differentiation between stimuli containing fundamental facial features and non-face objects in both groups. In contrast, later activation (400–550 ms) differentiated real faces from both pareidolic and non-face objects across both groups and faces from objects in controls but not in autistics. There was no effect of autistic-like traits. Conclusions The absence of group differences in early activation suggest intact face detection in autistics possessing a normal IQ. Later activation captures a greater degree of the complexity and social information from actual faces. Although both groups distinguished faces from pareidolic and non-face objects, the control group exhibited a slightly heightened differentiation at this latency, indicating a potential disadvantage for autistics in real face processing. The subtle difference in late-stage face processing observed in autistic individuals may reflect specific cognitive mechanisms related to face perception in autism.

Abstract Students in higher education often encounter significant academic pressure, which can have profound implications for their mental health and academic performance. The current study employs a two-wave longitudinal design to investigate the dynamic interrelationships among academic stress, academic motivation, emotional intelligence, and mindfulness. The study employed a cross-lagged panel model to investigate the temporal interactions among these four constructs and their influence on the academic experiences of doctoral students. The sample consisted of 643 individuals at Time 1 (September/October 2022), followed by a subsequent assessment involving 413 participants (July/August 2023). Notably, there was an overlap of 373 participants who were evaluated at both time points. The results indicated the presence of substantial reciprocal relationships among the constructs under investigation. The outcomes indicated that elevated emotional intelligence and mindfulness levels are associated with reduced academic stress and enhanced motivation. The implications of this analysis underscore the necessity of facilitating interventions aimed at enhancing emotional intelligence and mindfulness. These components are instrumental in promoting resilience and supporting academic success among students. These longitudinal insights hold significant importance within the academic literature as they elucidate the various stressors doctoral students encounter. Furthermore, this research provides practical implications for educators and policymakers in formulating targeted strategies to enhance student well-being and improve educational outcomes.

Background/Objectives: Previous studies have shown that primary care (PC) professionals have a low knowledge about the management of patients with type 2 diabetes, despite being one of the most common chronic diseases. The objective of this study is to analyze the impact of an educational program for health professionals on the metabolic control of their patients diagnosed with type 2 diabetes. Methods: This work follows a quasi-experimental longitudinal design following a double perspective. First, an educational intervention was conducted on primary care health professionals. Previous diabetes knowledge was evaluated on 157 PC health professionals. Those with lower knowledge scores (p < 0.001) and all dimensions of self-efficacy (p < 0.001 in all cases). These improvements were mirrored in patients’ outcomes, since those managed by health professionals attending the advanced practice education showed, after 6 months, better glucose (p < 0.001), HbA1c (p < 0.001), and eGFR (p = 0.006) levels. Conclusions: The advanced practice education program oriented to PC professionals was able to significantly improve their self-efficacy and perceived quality of care, which induced a significant effect on metabolic markers of patients with type 2 diabetes. Overall, the data reinforce the usefulness of advanced education programs, especially in chronic complex diseases like type 2 diabetes.

Abstract Background Medical student-led health promotion projects are pivotal in enhancing community health and medical education. However, research focusing on the impact of such projects on medical students' knowledge translation skills is limited. This study aims to address this gap by developing and validating a survey tool to assess the knowledge translation skills and overall impact of a student-led health promotion project. Methods We designed and validated a comprehensive survey questionnaire. The tool underwent rigorous exploratory factor analysis, content and face validity checks, and reliability testing. A cross-sectional survey was conducted among medical students participating in a Health Promotion Project Exhibition at Alfaisal University, Riyadh, Saudi Arabia. The survey explored students' perceptions of skill development and knowledge translation effectiveness. Results The finalized questionnaire consisted of 33 items across four domains: preparation and organization, public education and communication, personal and professional development, and overall experience. The questionnaire demonstrated high reliability (Cronbach's alpha ranging from 0.871 to 0.968 across domains). The analysis indicated positive student perceptions across all domains, with emphasis on skills in literature search, evidence-based medicine, communication, and teamwork. Conclusion The study successfully developed a validated survey tool for assessing the impact of health promotion projects on medical students' knowledge translation skills. The positive outcomes suggest such projects significantly contribute to skill development in medical education. This tool could be utilized annually to monitor and enhance the effectiveness of health promotion projects, aligning with broader educational goals in public health and community medicine. Trial registration Not applicable as this study did not involve a clinical trial.

Abstract With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information. Our study provides a snapshot of global researchers’ perception of current trends and future impacts of LLMs in research. Using a cross-sectional design, we surveyed 226 medical and paramedical researchers from 59 countries across 65 specialties, trained in the Global Clinical Scholars’ Research Training certificate program of Harvard Medical School between 2020 and 2024. Majority (57.5%) of these participants practiced in an academic setting with a median of 7 (2,18) PubMed Indexed published articles. 198 respondents (87.6%) were aware of LLMs and those who were aware had higher number of publications (p

BACKGROUND: Ideal blood inventory management involves guaranteeing maximal availability of blood while minimizing wastage. Benchmark for the guidance of O (Rh) D-negative red blood cells (ONEG RBCs) is not widely available. In this study, we aimed to identify the areas of improvement in blood center inventory of ONEG RBCs through a clinical audit. MATERIALS AND METHODS: During April 2017 to March 2018, patients who received ONEG RBCs units were studied for their demographics, primary reason for admission, location, and clinical condition. Data were collected from computerized blood center information system, online integrated laboratory data (Integrated Laboratory Management System), and patients’ medical record charts. Children at ≤18 years were included in the pediatric population as per our institutional criterion while a female between 15 and 49 years was considered as having childbearing potential according to previously published data. RESULTS: Overall, 807 units (2.8%) of ONEG RBCs were transfused during 577 transfusion events with a median (inter quartile range) of 2 (1–3) units per patient in each transfusion event. Recipients of ONEG RBCs were 221 unique patients including 91 females (41%) and 130 males (59%) and only 44 (20%) females had child-bearing potential. Overall, 72 of 807 red cell units (8.9%) were transfused to young females of O/non-O negative/unknown group and were classified as “obligatory.” Neonates, pediatric patients, chronically transfused, and bone marrow transplant recipients received 337 of 807 (42%) units and were marked as “acceptable.” Transfusion of 398/807 units (49%) to females of nonchildbearing potential and adult males could have been saved for those with a mandatory transfusion requirement of ONEG RBCs. CONCLUSIONS: This clinical audit showed that 409 of 807 of ONEG RBCs (51%) were transfused according to the guidelines while 398 of 807 of these (49%) could have been saved for other mandatory requirements. Appropriate policies, planning, education of physicians, and regular clinical audits are needed to bring the desired change in transfusion practices.

Among various clinical skills, critical thinking (CT) is foundational for quality patient care. However, existing literature suggests deficiencies in applying analytical reasoning skills in healthcare education. As CT integration gains momentum in dentistry, the rapid advancement of artificial intelligence (AI) technologies introduces new dynamics. This article explores the potential impacts of emerging technologies of AI on the development and application of CT in the dental profession. Methods: A narrative literature review of English-language publications was conducted using sources such as PubMed, MEDLINE, ScienceDirect, Wiley-Online-Library, and Oral-Health-Group. Our review focused on relevant articles published up to June 30,2024, representing a peak period of CT awareness. The search terms used included: “Critical thinking,” “healthcare,” “rubric,” “dental education,” and “Artificial intelligence.” No inclusion or exclusion criteria were applied. The search strategies aimed to synthesize collective healthcare experience in implementing CT in education, providing a cohesive understanding of the current state of CT and highlighting gaps in its integration in education. Results: Strategies for incorporating CT into dental education are still developing. Although dental educators recognize the importance of CT-based curricula, barriers hinder effective implementation. Additionally, the rise of advanced technologies with human-like cognitive and non-cognitive capabilities necessitates agile, adaptable strategies to integrate CT in dental education. A simplified model is proposed for integrating AI into the development of CT skills at multiple levels in dental education. Furthermore, a rubric for assessing CT skills in problem-based learning is presented. Conclusion: This review emphasizes the urgent need to strategically prioritize CT integration in dental education. Inadequate application of CT may increase the risk of AI misuse, and overreliance on AI could potentially undermine clinical decision-making. We propose that emerging technologies should be embraced as tools to enhance the development of CT skills while mitigating potential negative impacts. Plausible approaches to addressing this challenge are outlined.

Creating salt-tolerant genotypes is crucial for maximizing the productivity under salinized land. To evaluate genetic diversity for salt tolerance, 35 diverse cotton accessions were screened under 17 dS m−1 salt stress conditions using 20 agronomic and physiological traits relevant to salt tolerance. The general linear model analysis indicated significant salinity impacts across the studied accessions, and genotype × treatment effects were also significant for all parameters examined. Among all 35 studied accessions; the genotypes CCB-1, CCB-2, CCB-28, CCB-3, CCB-4, Ghauri-1, JSQ-70, and JSQ-71 showed considerably higher performance for plant height, boll per plant, boll weight, lint percentage, seed cotton yield and fiber quality traits under salt stress. Physiological traits, chlorophyll and carotenoid contents, total soluble proteins, K+, and K+/Na+ were reduced under saline conditions, while biochemical traits such as catalase, superoxide dismutase, peroxidase, H2O2 and MDA level increased. The genotypes CCB-17, CCB-18, CCB-19, CCB-20, CCB-21, CCB-22, Hatf-3, Badar-1, Eagle-2, Eagle-4, CCB-23, CCB-24, CCB-25, CCB-26 and CCB-28 exhibited lower values for agro-physiological and fiber quality character respectively, signifying their sensitivity to salt stress. Under salinity, these genotypes showed reduced antioxidant levels and increased values for K+/Na+, Na+, H2O2, and MDA contents. Whereas the genotypes CCB-5, CCB-6, CCB-7, CCB-8, CCB-9, CCB-10, CCB-11, CCB-12, CCB-13, CCB-14, CCB-15, and CCB-16 demonstrated moderate performance for these traits under salt stress conditions respectively. Utilizing multivariate analysis techniques (cluster and PCA), 35 genotypes have been categorized into three groups based on studied traits: tolerant (cluster-1), moderately tolerant (cluster-2), and susceptible (cluster-3) under saline conditions.

The proliferation of signal-free corridors in Karachi, Pakistan, has necessitated the construction of foot-over bridges to facilitate pedestrian road crossings. However, these structures have gradually deteriorated due to vandalism and social factors. Pedestrians perceive them as unsafe primarily due to their poor physical condition, including the absence of guardrails, and the presence of social hazards such as beggars, addicts, and stray dogs. This study aims to assess the safety rating of a foot-over bridge by pedestrians, considering various physical and social hazard factors. An in-person questionnaire-based survey was conducted at a foot-over bridge located near a major university in Karachi. Pedestrians were asked to rate the bridge's safety as safe or unsafe based on the factors they considered most hazardous while crossing it. These factors included the absence of guardrails, and the presence of beggars, addicts, and stray dogs. Pedestrians were also queried about the optimal time for crossing the bridge (morning, evening, or afternoon). Their age was recorded. A Binary Logistic Regression (BLR) model was developed to analyze the data, and odds ratios were calculated for each hazard factor. The results of the BLR model revealed that the gender of the pedestrian significantly influenced the safety rating of the bridge compared to other variables. Female pedestrians were five times more likely to rate the bridge as unsafe compared to males. Furthermore, younger pedestrians were 0.39 times more likely to perceive the bridge as unsafe compared to older ones. The absence of guardrails increased the likelihood of rating the bridge as unsafe by 1.1 times compared to other hazards, and pedestrians crossing the bridge during the afternoon were 1.7 times more likely to perceive it as unsafe compared to morning or evening crossings. In conclusion, female pedestrians perceive foot-over bridges in Karachi as more unsafe, with the absence of guardrails being identified as the primary physical hazard. These findings underscore the importance of addressing safety concerns and improving infrastructure to enhance pedestrian safety in urban environments. It is recommended that the guard rails of pedestrian bridges should be constructed with recycled sustainable materials to prevent them from theft and improve safety, thus, creating a more resilient infrastructure.

This article introduces a new operator defined by the convolution of the Poisson distribution series and the generalized Mittag-Leffler function. Applying this operator, we study a novel subclass of analytic functions using the technique of fuzzy differential subordination. Also, we prove some significant results related to the fuzzy differential relation for this novel class. These results are applied to particular functions to showcase the significance of our findings.

The aim of the present study was to assess the effects of different levels of hempseed (HS) on growth performance, immunity and gut health in broiler chickens. A total of 192 Hubbard broiler chicks were divided into four groups and fed HS as follow: control (HS0), HS 10% (HS-10), HS 15% (HS-15) and HS 20% (HS-20). The study on HS supplementation in broilers revealed no significant impacts on feed intake during the starter (p = .2294) and finisher phases (p = .2294), or overall (p = .0944), though numerical increases were noted with higher HS levels. Body weight gain showed no significant influence in the starter and finisher phases, with overall weight gain also not significantly different (p = .0944), but numerically higher with increased HS. Feed conversion ratio was unaffected in the starter (p = .6986) and finisher phases (p = .6425), and overall (p = .2218). Dressing percentage (p = .1062) and mortality (p = .1631) were not significantly altered, but HS-20 had the highest dressing percentage and lowest mortality numerically. White blood cell counts increased significantly (p = .0377), especially in HS-15 and HS-20 groups. IgM and IgG production was higher in HS-20 on day 28 (p = .021). Gut pH (p > .05) and intestinal histomorphology (p > .05) were not significantly affected, although villus height increased numerically with higher HS levels. These results suggest potential benefits of HS, especially at higher inclusion levels. In conclusion, the obtained results indicated that HS incorporation into the diet of broilers did not affect the growth performance and gut health; however, the immune responses were significantly higher at 15 and 20% levels.

Introduction Hemangiomas are benign vascular lesions. The complicated hemangiomas that are causing significant functional or cosmetic problems need surgical excision. This paper presents a novel technique of reconstruction using surgical mesh after removal of a facial hemangioma.Case report A 50-year-old male patient presented with right cheek swelling for more than 40 years causing disproportion of the face. A flap was raised by a nasolabial linear incision, then a 4*2 cm surgical mesh was put in, and the wound closed cosmetically. The excised tissue was sent for histopathological examinations and the results confirmed hemangioma. After more than two years follow up, the patient’s face was symmetrical with normal facial contour.Conclusion The application of surgical mesh for patients who seek functional and cosmetic improvements after hemangioma removal is a constructive method that gives the desired outcome for the patient.

Background: Circumcision is the most common elective surgical procedure amongst Muslims. The Plastibell method is gaining popularity as it is being considered safer with a lower complication rate. Objective: To compare the open and plastibell methods of circumcision in terms of procedural time, outcomes, and parental satisfaction in our cohort of boys up to 5 years of age. Methods: This quasi-experimental study of boys aged ≤5 years was conducted from July 2018 to October 2020 at THQ Ferozewala, Punjab. Boys meeting the inclusion criteria were circumcised, based on parental preference, by the Open method or the Plastibell technique after administering age-appropriate local or general anesthesia. Follow-up was conducted on the 5th, 10th, and 30th postprocedural days. Basic demographic data, procedural duration, and outcomes were documented. Results: Of 646 boys brought for circumcision, 608 met the inclusion criteria with equal participants in both groups. The median age in the open and plastibell groups was 3.0 (IQR=1.0-12.2) and 5.0 (IQR=2.0-9.0) months respectively. The Plastibell group had a significantly shorter median operating time compared to the Open method (4.2 min vs. 13 min; p=0.008). Complications were recorded in 15% of children (n=91) and were more frequent but comparatively trivial in nature in the Plastibell group. Comparison of complications between the two methods revealed that the association of over-removal of skin was statistically significant (p=0.007) with the Open method while under-removal of skin (p=0.002) and post-operative phimosis (p=0.037) were significantly associated with the Plastibell technique; the latter two complications being significantly associated with age of the boys in the ≥2 months to 1-year group. No serious adverse outcomes were reported for both groups. The open method was preferred by parents for cosmesis and Plastibell for ease of care. Follow-up contact was established with all families. Conclusion: Plastibell, compared to the open method, is a quicker and safer method of circumcision for boys up to 5 years of age, under appropriate anesthesia. Follow-up ensures patient safety. Clinical Trial Number: ClinicalTrials.gov-NCT06120634

Abstract Background Corneal pathologies are among the most common reversible sight-threatening diseases globally. As such, corneal tissue transplantation (keratoplasty) techniques are evolving over time depending on the prevalence of different pathologies in each geographical area. We aim to provide a baseline information on the common keratoplasty procedures performed in our area in relation to prevalent corneal pathologies and to analyze common corneal surgical practice trends in our area. Other types of corneal tissue sampling (superficial keratectomy and corneal biopsy) indicated for therapeutic and diagnostic purposes are also included. Methods This is a retrospective cohort study. All corneal tissue specimens, including those harvested for both therapeutic and diagnostic purposes, received for histopathological examination at our center over a period of 5 years were collected along with the respective demographic data, clinical diagnoses, and surgical indications. Descriptive analysis was used to elucidate important conclusions, and comparative analysis was used to highlight differences between different types of keratoplasty specimens in relation to the surgical indications. Results A total of 347 patients’ corneal tissue specimens were included. Males accounted for 52.45%. Full-thickness corneal buttons were the most common (n = 172), followed by partial-thickness corneal specimens (n = 75), and Descemet’s membrane and endothelium samples (n = 63). Top surgical indications for keratoplasty were keratoconus (n = 149), followed by bullous keratopathy (n = 61), failed previous keratoplasty (n = 47), corneal ulceration (n = 33) and corneal dystrophies (n = 22). Patients undergoing penetrating or lamellar keratoplasty were significantly younger (p

For many years, Western researchers have extensively studied the history, language, culture, religion, and mysticism of the Kurds for specific objectives. These works are elevated to the status of sacred texts by Kurdish researchers. Their hesitancy to form critical opinions and accurately cite quotes from these texts stems from a lack of courage, conviction, and self-esteem leading them to rely unquestioningly on the translated content. An illustration of this is “Agha, Shaikh, and State, a book by Professor Martin van Bruinessen, this piece certainly stands out as one of the most crucial publications in the realm of Kurdish studies, serving as an enduring reference for Kurdish researchers to this day. A chapter of this book is specifically focused on exploring Kurdish mysticism and Tariqa. This chapter requires a thorough revision and analysis grounded in mysticism, a branch of Islamic studies and theology. As we observe, analyze, and validate, this impact is subject to criticism from a pathological perspective, and there is a necessity to rectify their viewpoints.The author has incorporated this chapter into his sociological research as a report, leaning on the statements of unidentified individuals and unspecified sources. Furthermore, his viewpoints contain numerous scientific inaccuracies, writing prejudices, and broad generalizations. This results from his research conducted solely from a sociological standpoint, lacking comprehensive and accurate information about mysticism and relying on inadequate works previously done by Western orientalists. Consequently, this has led to a decline in the scientific and historical credibility of the work.

Context: Cardiopulmonary resuscitation (CPR) is a crucial lifesaving technique in cases of cardiac arrest and should be performed by any member of the community. Aims: To investigate the level of knowledge regarding CPR among the general population in the Al-Baha region, Saudi Arabia. Settings and Design: A cross-sectional study was conducted in Al-Baha from July 1, 2023 to August 1, 2023. Methods and Material: Inclusion criteria were individuals aged 18 and above living in Al-Baha who consented to participate. Exclusion criteria included individuals under 18 years old, healthcare professionals, residents outside Al-Baha, individuals who refused to participate, and incomplete questionnaires. Data was collected using an anonymous self-administered validated electronic questionnaire in Arabic distributed through social media. Statistical Analysis Used: The Mann–Whitney U test, the Kruskal–Wallis test, the Shapiro–Wilk test, and the Kolmogorov–Smirnov test. Any result below 0.05 (P < 0.05) was considered significant. Results: A total of 852 were included, with 65.0% of respondents female, the largest age group was 18–30 years old (43.9%). A total of 77.5% had sufficient CPR knowledge, with an average score of 11.2 out of 18. While many knew key CPR practices, gaps in knowledge existed, such as when to start CPR (15.8%). Challenges included determining unresponsiveness (26.8%) and fear of causing harm (73.6%). Social media apps were the primary source of CPR knowledge (53.8%), but 70.0% were unaware of available CPR courses, despite 75.0% expressing interest in enrolling. Conclusions: Population of Al-Baha showed a good level of knowledge, however, gaps remained need to be targeted during education efforts. The preference for social media and interest in CPR courses highlight opportunities for enhancing public preparedness.

Dengue fever is one of the most widespread vector-borne viral infections in the world, resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are infected with dengue fever across the world, resulting in high mortalities in tropical and subtropical regions. The current article endeavors to present an overview of predicting dengue outbreaks through data-based machine-learning models. This artificial intelligence model uses real world data such as dengue surveillance, climatic variables, and epidemiological data and combines big data with machine learning algorithms to forecast dengue. Monitoring and predicting dengue incidences has been significantly enhanced through innovative approaches. This involves gathering data on various climatic factors, including temperature, rainfall, relative humidity, and wind speed, along with monthly records of dengue cases. The study functions as an efficient warning system, enabling the anticipation of dengue outbreaks. This early warning system not only alerts communities but also aids relevant authorities in implementing crucial preventive measures.

One potential candidate technology for Beyond 5G (B5G) networks is the reconfigurable intelligent surface (RIS), which is easy to install on existing infrastructure such as vehicles and buildings. Creating additional paths between the transmitter and receiver to improve the received signal accessible to the system is one of the significant uses of RIS. A virtual line of sight (VLOS) is established through the Tx-RIS-Rx link without the line of sight (LOS). RIS technology solves the problem of low coverage in millimeter-wave communications. This paper presents the effect of the signal-to-noise ratio by changing dimensions. In addition to finding the optimal values for the dimensions that give the optimal SNR, simulation results prove that the RIS height is greater than or equal to half the dimension between the sender and the receiver. It is recommended that the RIS height be greater than half the distance between the sender and the receiver.

Abstract Breast cancer is caused by aberrant breast cells that proliferate and develop into tumors. Tumors have the potential to spread throughout the body and become lethal if ignored. Metastasis is the process by which invasive tumors move to neighboring lymph nodes or other organs. Metastasis can be lethal and perhaps fatal. The objective of our study was to elucidate the molecular mechanisms underlying the transition of Ductal Carcinoma In Situ (DCIS) to Invasive Ductal Carcinoma (IDC), with a particular focus on hub genes and potential therapeutic agents. Using Weighted Gene Co-expression Network Analysis (WGCNA), we built a comprehensive network combining clinical and phenotypic data from both DCIS and IDC. Modules within this network, correlated with specific phenotypic traits, were identified, and hub genes were identified as critical markers. Receiver Operating Characteristic (ROC) analysis assessed their potential as biomarkers, while survival curve analysis gauged their prognostic value. Furthermore, molecular docking predicted interactions with potential therapeutic agents. Ten hub genes—CDK1, KIF11, NUF2, ASPM, CDCA8, CENPF, DTL, EXO1, KIF2C, and ZWINT—emerged as pivotal fibroblast-specific genes potentially involved in the DCIS to IDC transition. These genes exhibited pronounced positive correlations with key pathways like the cell cycle and DNA repair, Molecular docking revealed Fisetin, an anti-inflammatory compound, effectively binding to both CDK1 and DTL underscoring their role in orchestrating cellular transformation. CDK1 and DTL were selected for molecular docking with CDK1 inhibitors, revealing effective binding of Fisetin, an anti-inflammatory compound, to both. Of the identified hub genes, DTL—an E3 ubiquitin ligase linked to the CRL4 complex—plays a central role in cancer progression, impacting tumor growth, invasion, and metastasis, as well as cell cycle regulation and epithelial-mesenchymal transition (EMT). CDK1, another hub gene, is pivotal in cell cycle progression and associated with various biological processes. In conclusion, our study offers insights into the complex mechanisms driving the transition from DCIS to IDC. It underscores the importance of hub genes and their potential interactions with therapeutic agents, particularly Fisetin. By shedding light on the interplay between CDK1 and DTL expression, our findings contribute to understanding the regulatory landscape of invasive ductal carcinoma and pave the way for future investigations and novel therapeutic avenues.

Abstract Introduction Placenta is a vital organ with highly specialized functions. According to the Perinatal Section of the Pediatric Pathology Society, placental histopathological abnormalities are typically categorized into maternal vascular hypoperfusion, fetal thrombotic vasculopathy, and inflammatory lesions. This study aims to assess the placental histopathological abnormality results in relation to adverse obstetric outcomes and to investigate whether specific placental abnormalities are associated with particular adverse outcomes. Methods A retrospective cross-sectional study was conducted between January 2017 and January 2020 including all women who were admitted to Sultan Qaboos University Hospital with an adverse obstetric outcome who met the inclusion criteria, and whose placentas were sent for histopathological examination. Results A total of 191 women were included in the study. The most common adverse obstetric outcomes included preterm labor (25.1%), fetal growth restriction (FGR) (19.4%), preeclampsia and related complications (15%), placental abruption (14.1%), and chorioamnionitis (14%). 74% of women had abnormal placental findings. Among women with preterm labor, inflammatory lesions were present in 56.3% of cases (p = 0.006). Fetal thrombotic vasculopathy lesions were present in 13.5% of FGR cases (p = 0.037). In preeclampsia cases, maternal under perfusion lesions were present in 79% of cases (p = 0.013). Conclusion Placental histopathological examination is an important tool for assessing perinatal outcomes. Correlating placental findings with specific obstetrical conditions and adverse outcomes provides valuable information that can assist obstetricians in developing appropriate management plans for future pregnancies.

Abstract The mouse mammary tumor virus (MMTV) encodes a 5’ element crucial for transcription of its genome along with the Rem/Rem-responsive element (RmRE) responsible for nuclear export of this unspliced RNA. Whether the 5’ element is Rem-responsive or has any functional interaction with host/viral factors to facilitate MMTV gene expression was tested in this study. Our results reveal that the 5’ element is non-responsive to Rem, but can be transactivated by both HIV Tat and HTLV-1 Tax activators. Reciprocally, MMTV could transactivate not only HIV TAR (similar to HTLV Tax), but also its 5’ element. Furthermore, we reveal involvement of pTEFb, a general elongation factor associated with transactivation by Tat/Tax. This makes MMTV the first betaretrovirus to encode both Rem/RRE and Tat/TAR-Tax/TRE-like transcription regulatory systems. This study should enhance not only our understanding of retrovirus replication and virally-induced cancers/immunodeficiency syndromes, but also development of improved retroviral vectors for human gene therapy.

Abstract Background Informed consent is considered to be the standard method for respecting the autonomy of individual participants in research and practices and is thought to be based on several conditions: (1) providing information on the purpose of the research or a specific treatment, what it will entail, (2) the participants being mentally competent to understand the information and weigh it in the balance, and (3) the participants to be free from coercion. While there are studies of informed consent in other countries, especially Low and Middle Income Countries (LMICs), this study explored the experiences of clinicians regarding the process of obtaining informed consent to participate in a Randomised Controlled Trial (RCT) in particular and treatment in general in healthcare settings, both general and mental health, specifically focusing on the tension between individualistic concept of autonomy and collectivist values in cultures such as Pakistan. Methods Qualitative interviews with 20 clinicians from healthcare settings in Pakistan who also served as recruiters in a suicide prevention RCT in Pakistan. The interviews were guided by semi-structured topic guide. All interviews were audio-recorded and transcribed verbatim. Results The interviews revealed that shared decision making was more morally important than individual autonomy, the role of the family played a dominant part in the consent-taking procedure, the decision of the elder and/or family patriarch took prominence, and that clinician-researchers encountered significant challenges in consent process in Pakistan, while recruiting patients into the trial as well as during routine treatment processes in healthcare settings. Four distinct themes emerged which were (1) Family deciding for patients, (2) Benefits of involving family in consent process, (3) Gender disparity in consent process, (4) Challenges experienced by clinician-researchers during consent process in Pakistan. Conclusions The concept of consent is generally considered important in many cultures, however, there are two strands of understanding. There seems to be consensus that participant agreement is necessary to protect the participant but with regards to autonomy there are significant cultural differences whether it is the right for autonomy of the individual (individualistic concept) or family, community, or expert authority in other cultures. In Pakistan clinician-researchers sometimes preferred one approach and sometimes the other as they appreciated the interests of the patient to be.

Abstract Background Breast cancer is a heterogeneous disease with diverse molecular subtypes, underscoring a better understanding of its molecular features and underlying regulatory mechanisms. Therefore, identifying novel prognostic biomarkers and therapeutic targets is crucial for advancing the current standard of care for breast cancer patients. Methods Ninety-six formalin-fixed paraffin-embedded (FFPE) breast cancer samples underwent miRNAome profiling using QIAseq microRNA library kit and sequencing on Illumina platform. Mature miRNA quantification was conducted using CLC Genomics Workbench v21.0.5, while Relapse-free survival (RFS) analysis was conducted using RStudio 2023.09.1. Gain-of-function studies were conducted using miRNA mimics, while the effects of miRNA exogenous expression on cancer hallmark were assessed using 2-dimentional (2D) proliferation assay, three-dimensional (3D) organotypic culture, and live-dead staining. TargetScan database and Ingenuity Pathway Analysis (IPA) were used for miRNA target identification. Results Hierarchical clustering based on miRNA expression revealed distinct patterns in relation to PAM50 classification and identified miRNAs panels associated with luminal, HER2, and basal subtypes. hsa-miR-5683 emerged as a potential prognostic biomarker, showing a favorable correlation with RFS and suppressing tumorigenicity under 2D and 3D conditions in triple-negative breast cancer (TNBC) models. Findings were further extended to the MCF7 hormone receptor positive (HR+) model. Transcriptomic profiling of hsa-miR-5683 overexpressing TNBC cells revealed its potential role in key oncogenic pathways. Integration of downregulated genes and CRISPR-Cas9 perturbational effects identified ACLY, RACGAP1, AK4, MRPL51, CYB5B, MKRN1, TMEM230, NUP54, ANAPC13, PGAM1, and SOD1 as bona fide gene targets for hsa-miR-5683. Conclusions Our data provides comprehensive miRNA expression atlas in breast cancer subtypes and underscores the prognostic and therapeutic significance of numerous miRNAs, including hsa-miR-5683 in TNBC. The identified gene targets unravel the intricate regulatory network in TNBC progression, suggesting promising avenues for further research and targeted therapeutic interventions.

Background: Endophytic fungi produce biologically robust metabolites suitable for diverse applications, which support the increasing exploration of these fungi. The study aimed to investigate the in vitro antimicrobial properties of the metabolites of endophytic fungus Aspergillus terreus which isolated from the leaves of Psidium guajava plants while the acute oral toxicity was assessed in vivo. Results: A. terreus (OR125572) was successfully isolated for the first time from P. guajava. The ethyl acetate extract of A. terreus exhibited antibactericidal effects against Enterobacter aerogenes with a minimum inhibitory concentration of 18.75 mg/ml in contrast to 75.00 ± 0.0, 37.50, and 37.50 mg/ml, respectively against Staphylococcus aureus, Escherichia coli, and Bacillus sphaericus were 75.00 ± 0.0, 37.50, and 37.50 mg/ml, respectively. Analysis of the crude extract obtained from A. terreus by GC-MS revealed a total of 32 distinct compounds. The major components included 1,2-benzenedicarboxylic acid, di-iso-octyl ester; hexyl oxecan-2-one and phenol. The acute oral toxicity study found no symptoms of toxicity and no mortality until the 14th d, suggesting that the LD50 value of A. terreus extract might exceed 1 ml/kg. The group receiving 0.5 ml/kg of A. terreus extract experienced a 42.9% increase in body weight, while administration of varying dosages resulted in a significant reduction in MCV levels. There was also a significant increase in the proportion of monocytes across all treated groups. Conclusions: The study demonstrated the potential of A. terreus as a source of antimicrobial and other bioactive compounds, with relatively low acute toxicity.How to cite: Shehabeldine AM, Abdelaziz AM, Abdel-Maksoud MA, et al. Antimicrobial characteristics of endophytic Aspergillus terreus and acute oral toxicity analysis. Electron J Biotechnol 2024;72. https://doi.org/10.1016/j.ejbt.2024.07.003.

Introduction: Abnormal uterine bleeding (AUB) is bleeding which is abnormal in amount, duration, frequency, and cyclicity and differs from the normal pattern. The aim of the study is to evaluate the expression of endometrial estrogen (ER) and progesterone receptor (PR) immunohistochemically and blood vessel density in AUB patients. Furthermore, we will correlate hormonal receptor expression and blood vessel density with various endometrial pathologies presenting with AUB. Materials and Methods: A cross-sectional study of 60 cases with clinical diagnosis of AUB, (30 cases of cyclical endometrium and 30 cases of hyperplasia/carcinoma) was done. Histological typing of endometrial lesions was done. Microvessel density (MVD) was calculated by counting the average number of blood vessels/10 HPFs. Evaluation of MVD was done on hematoxylin and eosin (H and E) stain and also reticulin stain which highlighted the basement membrane. Immunohistochemistry for steroid hormone receptors, ER and PR was done as per avidin-biotin technique with Diaminobenzidine as the chromogen. Carcangiu scoring system for semiquantitative analysis of ER/PR expression in endometrial samples was adopted. Results: There was a significant difference in microvessel density between different histopathology microscopic diagnoses (P < 0.05). The mean value of microvessel density on reticulin stain was significantly higher as compared to the mean value of MVD on H and E. A decrease of the hormonal receptor expression, ER and PR was observed in parallel with the decreased histological degree of differentiation, the lowest values occurring in the case of endometrioid Grade 3 carcinomas. Conclusion: Angiogenesis is significantly correlated with increasing severity of the lesion. The correlation of immunohistochemical findings with histologic grade can be useful in predicting biological behavior in patients.

Ingested foreign bodies, although fairly common among children, can present in individuals of all age. Most common risk factors for such cases in adults include psychiatric illness, alcohol abuse and ill-fitting dentures. Most of the ingested foreign bodies pass through the gastrointestinal tract but intervention maybe required in case of impaction, obstruction or perforation. Foreign bodies mostly tend to get impacted at anatomical constrictions like cricopharyngeus, aortic arch and lower esophageal sphincter. We present a rare case of impacted denture in esophagus which could not be retrieved despite multiple esophagoscopic retrieval attempts leading to removal by successful esophagotomy. Investigations including X-ray and rigid esophagoscopy confirmed the presence of denture with its hooks impacted in the esophageal wall at the level of C6-C7 vertebra. Majority of the foreign bodies can be removed by flexible endoscopy or esophagoscopy but due to its impaction in esophageal wall these techniques were unsuccessful. Therefore, multidisciplinary team decided to opt for an esophagotomy with transcervical approach. Successful esophagotomy was performed with the retrieval of sharp hook like body. Our case underscores the importance of early surgical intervention in case of failed attempt to remove the foreign body through minimally invasive techniques to prevent complications in form of perforation and mediastinitis.

Abstract Biopores formed by the actions of decaying roots of plants and soil fauna are essential for providing preferential growth pathways into deeper soil when the subsoil is compacted. Biopores help with rapid transportation of oxygen which increases microbial activity. These positive impacts help to increase the yield of crops even in adverse environmental conditions. However, the impact of biopores depends on various climatic and soil conditions. Understanding the mechanisms of different factors controlling the influences of biopores on the growth and development of plant roots is essential for getting more benefits in crop production. While several reviews have explored biopore-root interactions in crop production, there remains a lack of systematic studies on the factors influencing these interactions. In this review, we discussed different factors affecting the impacts of biopores on various crops in different situations based on current literature. It is also explained how we can maximize these impacts for getting benefits in sustainable crop production. Biopore improves the soil structure which has vital role on the growth of crops. On the other hand, clumping of roots within the biopores was also observed which may negatively affect crop growth. Similarly, biopores increase water infiltration as well as the leaching of nutrients. The influences of biopores depend on pore characteristics, abundance of biopores, moisture content, management practices, edaphic conditions, plant species etc. Understanding the factors influencing biopore-root interaction can contribute to improve root accessing into the deeper soil, enhancing their adaptation in stressful soil conditions.

Wind energy's significance lies in its contribution to electricity production. Accurate wind speed prediction is crucial for precisely forecasting electricity generation, enhancing its overall importance. For the wind speed prediction two methods are developed in this paper that are the Linear Regression Method and Convolutional Neural Networks (CNNs). Linear regression makes a linear relation between input and output which are used to predict continuous outcomes. The second proposed leverage hierarchical feature extraction through convolutional layers, enabling them to excel at tasks like pattern recognition by capturing spatial patterns and hierarchies of information. Hyperparameter tuning is applied on both the models to minimize the errors. Then both the model’s performances are compared under different error matrices including MAE, RMSE, MSE and MAPE. The observations indicate that both the Linear Regression Model and CNN models are capable of forecasting wind speed However, the Linear Regression Model after Hyperparameter tuning performs better in terms of the calculated errors.

Abstract Hematological malignancies are associated with an increased risk of complications during SARS-CoV-2 infections. Primary series or monovalent booster vaccines reduce disease severity, hospitalization, and death among multiple myeloma patients. We characterized virus-neutralizing and spike-binding antibody profiles following monovalent (WA1) or bivalent (WA1/BA.5) SARS-CoV-2 booster vaccination in MM patients. Bivalent vaccination improved the breadth of binding antibodies but not neutralization activity against contemporary variants. Hybrid immunity and immune imprinting impact vaccine-elicited immunity.

Abstract Synthetic dyes, such as Alizarin Red S, contribute significantly to environmental pollution. This study investigates the biosorption potential of Alhagi maurorum biosorbent for the removal of Alizarin Red S (ARS) from aqueous solutions. Fourier transform infrared spectroscopy (FTIR) was used to analyze the biosorbent’s adsorption sites. Various parameters were optimized to maximize dye adsorption. An optimal removal efficiency of 82.26% was attained by employing 0.9 g of biosorbent with a 25 ppm dye concentration at pH 6 and 60 °C over 30 min. The data were modeled using various isothermal and kinetic models to understand the adsorption behavior. Thermodynamic parameters indicated that the adsorption process was spontaneous and endothermic. The pseudo-second-order kinetic model best described the data, indicating chemisorption as the rate-limiting step. The data matched best to the Langmuir model, indicating that the adsorption occurs as a monolayer on uniform surfaces with a finite number of binding sites. The model showed a strong correlation (R² = 0.991) and a maximum adsorption capacity (qmax) of 8.203 mg/g. Principal component analysis (PCA) identified temperature as the dominant factor, with the primary component, PC1 capturing 100% of its effect. The mechanisms involved in ARS biosorption on A. maurorum include electrostatic interactions, hydrogen bonding, hydrophobic interactions, dipole-dipole interactions, and π-π stacking. Alhagi maurorum showed promising potential for biosorbing toxic dyes from contaminated water, suggesting further investigation for practical applications.

Cervical microglandular hyperplasia (MGH) is a benign cervical lesion mimicking cervical malignancy, thereby making its pathogenesis diagnostically challenging for gynecologists and pathologists. While MGH is often associated with physiological or external hormonal factors, several cases remain unexplained. In this report, we present a case of a young primiparous woman without evident hormonal risk factors seeking gynecologic evaluation owing to abnormal vaginal discharge. During her clinical examination, we observed an irregular cervical lesion raising malignancy-related concerns and consequently planned a colposcopy. The human papillomavirus (HPV) polymerase chain reaction tested positive for two high-risk HPV genotypes (16 and 52), denoting that the patient did not have an HPV infection history. During colposcopy, we identified a friable papillary cervical mass at the transformation zone, bleeding significantly with minimal handling, from which we obtained multiple biopsies. Our subsequent histopathological examinations eventually confirmed the MGH diagnosis, ruling out malignancy. Intriguingly, a follow-up colposcopy 7 months later revealed the resolution of the initial cervical lesion, coinciding with negative HPV test and Pap smear cytology results. This case highlights the rare encounter of MGH concurrent with an initial high-risk HPV infection. Beyond a comprehensive review of related literature and clinical guidelines, we discuss the clinical and histopathological results in such a case.

37 samples were collected from three sites in southern Iraq (north of Basrah Governorate), east of Hammar Marsh, in order to determine depositional environments in the Late Holocene. The study was based on the distribution of foraminifera species in sediments, which is an excellent tool in reconstructing the ancient environments of sediments and thus revealing the depositional environments prevailing at that time. In addition to the presence of Gastropoda opercula represented by the species Bithynia sp., which contributed to revealing the effect of river water in the study area. Through tracking the distribution of foraminifera species existing in the deposits of the three sites that which consist of sandy silt, silt and mud deposits, four zones were identified: zoneⅠreflects the river flow in the study area due to the widely spread of Bithynia sp. opercula. While zone Ⅱ shows a brackish marsh environment after the reintroduction of river influence to the area. Zone Ⅲ register a marine influence, zone Ⅳprovide evidence of a brackish marsh environment, this followed by the recent marine influence in the study area.

Abstract This study investigates the potential of renewable energy sources to address the growing energy demands of developing nations while ensuring environmental sustainability. Here, a model-based analysis to assess the feasibility of utilizing rice straw pyrolysis as a renewable energy source is investigated. The thermogravimetric analysis identified the optimal temperature range for pyrolysis (230–400 °C) and the Coats–Redfern model was employed for kinetic analysis. Diffusion models, particularly D3, exhibited the best fit with an activation energy of 16–18 kJ/mol. Thermodynamic analysis confirmed the endothermic nature of the process, with positive enthalpy and negative entropy changes indicating an increase in energy and a more ordered product. These findings suggest that rice straw pyrolysis holds promise as a viable renewable energy option. This study contributes to understanding the rice straw pyrolysis mechanism which could be helpful for its effective utilization at commercial scale.

Abstract Background Higher doses of vancomycin are currently prescribed due to the emergence of bacterial tolerance and resistance. This study aimed to evaluate the efficacy and safety of the currently adopted vancomycin dosing guide in pediatric cardiology. Methods This was a single-center prospective cohort study with pediatric cardiac patients, younger than 14 years, from June 2020 to March 2021. The patients received intravenous vancomycin (40 mg/kg/day divided every 6–8 h) according to the department’s vancomycin medication administration guide (MAG) for at least three days. Results In total, 88 cardiac patients were included, with a median age of 0.82 years (IQR: 0.25–2.9), and 51 (58%) received cardiopulmonary bypass surgery (CPB). The majority (71.6%, n = 61) achieved a serum vancomycin level within the therapeutic range (7–20 mg/L). Infants, young children, and children exposed to CPB surgery had an increased incidence of subtherapeutic vancomycin levels, [7 (29.2%); P = 0.033], [13 (54.2%); P = 0.01], and [21 (87.5%); P = 0.009] respectively. After the treatment, 8 (10%) patients had an elevated Serum creatinine (SCr) and 2 (2.5%) developed acute kidney injury (AKI). However, no significant difference was found between the patients developing AKI or an elevated SCr and the group who did not, in terms of clinical, therapeutic, and demographic characteristics, except for the decreased incidence of SCr elevation in patients receiving an ACE inhibitor, [4 (36.4%); P = 0.036]. Conclusion Our institution followed MAG recommendations; however, subtherapeutic serum concentrations were evident in infants, young children, and CPB patients. Strategies to prevent AKI should be investigated, as the possible causes have not been identified in this study.

Purpose – Grounded on brand equity theory and theory of patronage behavior, this study aims to investigate the moderating effect of consumer involvement and shopping situations in the relationship between consumer-based retailer equity (CBRE) and retail patronage behavior. Design/methodology/approach – The data is collected through a self-administered survey of 338 shoppers in the three biggest shopping centers in Pakistan. Moreover, the data is analyzed through multi-nominal (multiple) regression and interactions analysis. Findings – Results revealed a significant effect of CBRE on patronage behavior and confirmed shopping purpose as a boundary condition in the CBRE-retail patronage behavior relationship. However, the study surprisingly reported that this relationship is not moderated by consumers’ involvement. Research limitations/implications – Considering our focus on CBRE-based retail patronage behavior, the authors contribute to extant marketing/retailing literature that also yields ample openings for further research. The study offers valuable implications for retailers, especially for evaluating consumers’ behaviors. Practical implications – This study assists retail-brand managers in best comprehending the CBRE-based patronage behavior paves the way for managers to increase retail patronage behavior. Originality/value – Regardless of the growing comprehension of consumer-based brand equity and patronage behavior in marketing, more needs to be acknowledged about the relationship between CBRE/retail patronage behavior and related variables, as thus examined in this research. Objetivo – Basado en la teoría del valor de marca y la teoría del comportamiento de patrocinio, este estudio investiga el efecto moderador de la implicación del consumidor y las situaciones de compra en la relación entre el valor del minorista basado en el consumidor (CBRE) y el comportamiento de patrocinio minorista. Diseño/metodología/enfoque – Los datos se recogen mediante una encuesta autoadministrada a 338 compradores en los tres mayores centros comerciales de Pakistán. Además, los datos se analizan mediante regresión multinominal (múltiple) y análisis de interacciones. Resultados – Los resultados revelaron un efecto significativo del CBRE en el comportamiento de patrocinio y confirmaron el propósito de compra como una condición límite en la relación CBRE-comportamiento de patrocinio minorista. Sin embargo, el estudio informó sorprendentemente de que esta relación no está moderada por la implicación de los consumidores. Limitaciones/implicaciones de la investigación – Teniendo en cuenta que nos centramos en el comportamiento de patrocinio minorista basado en el CBRE, contribuimos a la literatura existente sobre marketing/minoristas que también ofrece amplias posibilidades para futuras investigaciones. El estudio ofrece valiosas implicaciones para los minoristas, especialmente para evaluar los comportamientos de los consumidores. Implicaciones prácticas – El presente estudio ayuda a los gestores de marcas minoristas a comprender mejor el comportamiento de patrocinio basado en la CBRE y allana el camino para que los gestores aumenten el comportamiento de patrocinio minorista. Originalidad – A pesar de la creciente comprensión de la equidad de marca basada en el consumidor y el comportamiento de patrocinio en marketing, es necesario reconocer más sobre la relación entre el comportamiento de patrocinio basado en la CBRE y las variables relacionadas, como se examinó en esta investigación. 目的 – 本研究以品牌资产理论和顾客行为理论为基础, 探讨了消费者参与和购物情境在基于消费者的零售商资产（CBRE）与零售顾客行为之间关系中的调节作用。 设计/方法/途径 – 数据是通过对巴基斯坦三大购物中心的 338 名购物者进行自填式调查收集的。此外, 还通过多项式（多元）回归和交互分析对数据进行了分析。 研究结果 – 结果表明, CBRE 对顾客光顾行为有显著影响, 并证实购物目的是 CBRE 与零售顾客光顾行为关系的边界条件。然而, 令人惊讶的是, 研究报告称这种关系并没有受到消费者参与度的调节。 研究局限/启示 – 考虑到我们对基于 CBRE 的零售顾客行为的关注, 我们为现有的市场营销/零售文献做出了贡献, 同时也为进一步研究提供了广阔的空间。本研究为零售商提供了宝贵的启示, 尤其是在评估消费者行为方面。 实践意义 – 本研究有助于零售品牌管理者更好地理解基于 CBRE 的顾客行为, 为管理者提高零售顾客行为铺平了道路。 原创性/价值 – 尽管市场营销中对基于消费者的品牌资产和顾客行为的理解不断加深, 但仍需进一步认识 CBRE/零售顾客行为与相关变量之间的关系, 正如本研究中所探讨的那样。

The cotton aphid Aphis gossypii is a major agricultural pest of cotton that causes substantial damage to the crop not only by sucking sap but also through virus transmission. Globally adopted traditional and contemporary approaches to control aphid infestation have certain limitations and are hazardous to human health. RNA interference (RNAi) technology has unfolded its potential as an effective crop protection strategy against various pests. In this study, we adopted plant-mediated RNAi strategy to enhance aphid resistance in cotton by targeting arginine kinase (AK), which is a crucial enzyme responsible for energy homeostasis in insects. We selected a 312bp dsRNA fragment containing eight siRNAs and showing optimum GC content, Hb index, and stable secondary structure based on computational prediction studies. The binary construct expressing dsRNA was used to transform local cotton variety MNH886 and four transgenic lines were obtained in the T1 generation. Out of the four T1 transgenic cotton lines, dsA-7 exhibited the highest aphid mortality (73.3%), whereas, dsA-1, dsA-3 and dsA-6 revealed 60%, 61%, and 66.6% aphid mortality, respectively, in comparison to 13.3% mortality in the mock control cotton line. Moreover, significant knockdown in mRNA expression of AK was observed in aphids fed dsA-7 which was 79%. In comparison, 54%, 47%, and 45% downregulation was recorded in aphids which fed on dsA-6, dsA-3, and dsA-1 transgenic cotton lines, respectively. These results revealed that plant-mediated downregulation of aphid RNA induced significant RNA interference in A. gossypii which resulted in considerable aphid mortality and led to plant protection against aphids.

Chronic neuropathic pain is a significant public health issue affecting an estimated 1.5 billion individuals worldwide. The mechanisms underlying chronic pain are multifaceted and not fully understood. Chronic pain amplifies specific neural pathways through peripheral and central sensitization triggered by repeated exposure to noxious stimuli, ultimately resulting in physical and emotional pain. Traditional treatment options targeting these mechanisms, such as opioid and non-opioid analgesics, are associated with adverse effects, addiction, and suboptimal pain relief. Using psychedelics to treat chronic pain is an area of growing interest. While psychedelic substances, such as psilocybin, lysergic acid diethylamide, mescaline, and 3,4-methylenedioxymethamphetamine are primarily associated with recreational use or spiritual practices, emerging evidence suggests their potential therapeutic benefits for various mental health disorders, including chronic pain. Psychedelics alter pain perception by directly activating serotonin receptors, exerting anti-inflammatory effects, enhancing descending inhibition, opening a window of neuroplasticity, and facilitating synaptic remodeling. This review mainly elucidates the ongoing research regarding the psychedelic mechanisms of action, pharmacology, clinical applications, and therapeutic potential in treating neuropathic pain.

Objectives: Cupping therapy is a widely used complementary medicine for the treatment of migraine headaches globally. However, conflicting evidence exists on its effectiveness. To evaluate the safety and efficacy of cupping therapy in treating migraine headache disorder.Methods: Seven databases were systematically searched: PubMed/MEDLINE, Clinicaltrials. gov, Cochrane CENTRAL, ScienceDirect, ProQuest, SinoMed, and the National Science and Technology Library. The primary endpoints are the treatment success and the pain intensity reduction. The secondary endpoints were adverse events (AEs) risk and improvement in quality of life (QoL), which was based on the Migraine Disability Scale (MIDAS). Subgroup analyses were performed based on the cupping techniques (wet and dry cupping) and adjunctive complementary treatments (i.e. acupuncture and/or collateral pricking).Results: Eighteen trials out of 348 records were included, pooling 1,446 participants (n = 797 received cupping therapy). Treatment success was significantly higher among those with cupping therapy (risk ratio [RR] [95% CI] = 1.83 [1.52-2.21]); with significant improvement observed only with wet cupping (RR [95% CI] = 1.88 [1.53-2.30]). The adjunctive complementary therapy did not achieve a greater amplitude of treatment success compared to cupping therapy alone. Furthermore, cupping therapy showed significant pain reduction compared to baseline (standardized mean difference [SMD] [95% CI] = 0.55 [0.39-0.70]) and achieved fewer risks of AEs (RR [95% CI] = 1.88 [1.53-2.30]). However, cupping did not improve the overall QoL (MIDAS SMD [95% CI] = –0.79 [–3.55-1.98]).Conclusion: Cupping therapy was an effective complementary modality to treat migraine headaches. However, it did not demonstrate improvement in QoL (PROSPERO: CRD42024514509).

Atmospheric pressure microplasma is a simple, cost-effective, efficient, and eco-friendly procedure, which is superior to the traditional nanomaterials synthesis techniques. It generates high yields and allows for a controlled growth rate and morphology of nanomaterials. The silver (Ag) nanomaterials, with their unique physical and chemical properties, exhibit outstanding antibacterial and antifungal properties. Similarly, zinc oxide (ZnO) nanomaterials, known for their low toxicity and relatively lower cost, find wide applications in wound repair, bone healing, and antibacterial and anticancer applications. The use of core–shell nanomaterials in certain situations where some nanoparticles can cause serious harm to host tissues or organs is a testament to their potential. A benign material is coated over the core to reduce toxicity in these cases. This review compares the numerous configurations of microplasma systems used for synthesizing nanomaterials and their use in producing Ag, ZnO, and their core–shell (Ag-ZnO) nanomaterials for biomedical applications. The summary also includes the effect of control parameters, including cathode diameter, gas flow rate, precursor concentration, voltage, and current, on the nanomaterial’s characteristics and applications. In addition, it provides a research gap in the synthesis of Ag, ZnO, and core–shell nanomaterials by this technique, as well as the development and limitations of this technique and the use of these nanoparticles for biomedical applications.

Abstract Flame retardant (FR) finishing is crucial for developing protective textiles, traditionally relying on halogen, phosphorus, and phosphorus-nitrogen chemistries, which have limitations like toxicity and fabric stiffening. Innovative approaches such as nanotechnology, plasma treatments, and natural resource-based finishes are being explored to achieve sustainable FR textiles. This study presents the development and comprehensive characterization of hydrogel composites made from nonwoven fabrics composed of various hemp/wool blends (70/30, 80/20, and 90/10). The nonwoven fabrics were treated with a chitosan hydrogel incorporating banana sap to enhance their properties. Scanning electron microscope (SEM) examined the surface morphology and structural integrity of the composites, while Fourier transform infrared spectroscopy (FTIR) identified chemical interactions and functional groups. Differential scanning calorimeter (DSC) revealed thermal properties, water absorbency tests demonstrated hydrophilicity, mechanical testing assessed tensile strength, and vertical flammability tests evaluated fire resistance. SEM and FTIR revealed a successful coating of chitosan hydrogel with banana sap inclusions onto the hemp/wool nonwoven fabric, forming a composite structure. DSC analysis suggests higher chitosan content and hemp fiber ratio (like 70/30) lead to increased thermal stability of hydrogel composites. Higher chitosan concentrations in the hydrogel significantly improve the flame-retardant properties of hemp/wool nonwoven fabrics by reducing char length and enhancing protective char layer formation, with banana sap further promoting charring. These results indicate that the developed composite can be effectively used in flame-retardant textiles.

Introduction: Varicella zoster virus (VZV) is a type of alpha-herpesvirus that specifically targets the nervous system. The initial infection, typically occurring during childhood, results in varicella (commonly known as chickenpox), after which the virus enters a dormant state in cranial nerve ganglia, dorsal root ganglia, and autonomic ganglia throughout the entire neuroaxis. Aim of the study: Molecular and genetic studies of viruses are an important tool for virus development and identifying viral treatments to combat the diseases. The aim of the study was to determine the whole ORF4 sequence of the local VZV strains for phylogenetic analysis to determine the variability in the viral sequence. Material and methods: Ten samples of VZV DNA were subjected to the sequencing of the whole ORF4 region following identification using the PCR method. Results: Sequences from five samples have been successfully analyzed. All clinical strains were discovered to possess a genome with a length of 124,884 base pairs. The sequences exhibited the occurrence of two distinct mutations, one being a transversion and the other a transition, with the latter resulting in an alteration of the amino acid. A phylogenetic tree was constructed using the maximum likelihood method based on the sequences of five nucleotide sequences from clinical samples and nine reference VZV strains. The tree displayed the evolutionary distances between these sequences. The analysis of the phylogenetic tree revealed the presence of five primary clades, with four of them originating from India (isolates S1, S2, S4, S5), while S3 exhibited similarity to a strain from the United Kingdom.

The purpose of this paper is to investigate the effect of using YouTube as an educational tool on pre-service educators in the United Arab Emirates and further delve into various factors that might influence this impact. The methodology employed is an analytical descriptive framework, gathering data via a comprehensive 36-item questionnaire distributed to a diverse group of 486 male and female student participants. The insights gleaned from this research highlight the critical necessity of integrating YouTube into the educational process, with the cumulative mean score of responses to the scale items reaching 3.86, which translates to a proportion of 77.2%. In a compelling finding, the investigation unveiled no discernible statistical variances in the mean scores of students’ uses of YouTube in relation to their field of academic study or the quality of their Internet connectivity. However, the study identified meaningful discrepancies predicated on the respondents’ command of the English language or their aptitude for computer proficiency. From an overarching perspective, the research indicated that students from various academic fields exploit YouTube as an instructional resource, regardless of whether they specialize in the sciences or the arts. Consequently, the research advocates for the widespread adoption of YouTube as an instrumental learning tool in tertiary education settings and other academic environments.

OBJECTIVE: To evaluate acute stroke care services in Sindh province of Pakistan. METHODS: This cross-sectional descriptive study, conducted from January to May 2024, assessed stroke care services in hospitals across Sindh, Pakistan. The study included hospitals that admitted more than one stroke patient per month and excluded facilities such as maternity homes and rehabilitation centers. Data were collected via structured proformas from hospital administrators through phone and email, focusing on stroke admissions, acute services, and rehabilitation capabilities. Informed consent was obtained, and ethical approval was granted by the Shifa International Hospital Ethical Committee. Data analysis utilized SPSS version 20 for continuous and categorical variables. RESULTS: Among the 34 surveyed hospitals, 15(44.1%) treated 1 to 10 stroke patients monthly, and 14 (41.2%) admitted over 300 patients annually. Neurologists were on staff in 15(44.1%) of hospitals, and 13 (38.2%) had stroke-trained physicians available 24/7. CT brain scans were accessible 24/7 in 23 (67.6%) of hospitals, with 19(55.9%) prioritizing these scans for stroke patients. Stroke units and 24/7 availability of intravenous tissue plasminogen activator (TPA) were available in 07 (20.6%) of hospitals only. Inpatient rehabilitation facilities were available in 21(61.8%) of hospitals, and 13 (38.2%) collaborated with external rehabilitation centers. Community stroke awareness programs were established in 12 (35.3%) of hospitals, and 09 (26.5%) had designed stroke prevention programs. CONCLUSION: The study highlights significant gaps in acute stroke care services in Sindh, Pakistan, emphasizing the need for improved access to thrombolytic therapy, specialized training, and community awareness programs.

Background: The intention of pregnancy is considered one of the major factors contributing to the foetal or maternal outcome. An exploration of the magnitude of this problem and its related factors can lead to improved foetal or maternal health. Objective: The objective of this study was to assess pregnancy intention and its related factors among females attending antenatal clinics of tertiary care hospitals. Methods: It is a cross-sectional (analytical) study conducted at the antenatal clinic, Jinnah Hospital Lahore, within the duration of January-April 2022. Two hundred and fifty(250) pregnant women aged 20 to 39 years were enrolled using non-probability convenience sampling. All the information was noted in a structured questionnaire based on study variables. The collected data was analysed using SPSS version 27.0 and frequency tables were generated. Appropriate test of significance was applied and p-value < 0.05 was taken as statistically significant. Results: Among 250 pregnant females, about 195(78%) of the females reported the current pregnancy to be intentional while 55(22%) were unintentional. It was also seen that age and parity were significantly related to the intention of pregnancy p-value

COVID-19 detection is mainly based on molecular testing, especially polymerase chain reaction (PCR) analyses, to find the occurrence of the virus's genetic material in respiratory samples. Computed tomography (CT) scans and X-rays are the two chest imaging techniques, which may provide more details on lungs, aiding in the diagnosis. Radiological findings in COVID-19 cases typically involve special features such as bilateral involvement, ground-glass opacities, and consolidation of the lungs. Deep learning (DL) methods, particularly convolutional neural networks (CNNs) are used for analyzing COVID-19 infection. By training these techniques on large datasets of annotated chest X-rays (CXRs), researches have attained superior outcomes in precisely detecting the possible COVID-19 cases. Leveraging artificial intelligence together with radiological expertise holds great potential for facilitating prompt intervention in the ongoing global efforts and improving the efficiency of early detection. This article focuses on the design of mother optimization algorithm with DL-enabled detection and classification (MOA-DLEDC) technique for COVID-19 diagnosis using CXR images. In the MOA-DLEDC technique, the adaptive median filtering (AMF) approach is used to eliminate the existence of noise. In addition, the complex and intrinsic feature patterns are derived from the Efficient DenseNet model. Besides, the hyperparameter optimization of the Efficient DenseNet model takes place using MOA. For the COVID-19 detection process, the MOA-DLEDC technique applies sparse autoencoder (SAE) model. A detailed set of experiments was conducted on the CXR dataset to highlight the promising results of the MOA-DLEDC technique. The extensive results inferred that the used technique gains superior performance over other models with maximum accuracy of 99.59 %.