Miracle-dz/UniFAR-FTUs huggingface dataset:
relationship between cognitive insight and subjective quality of life in outpatients with schizophrenia

Background: The concept of cognitive insight refers to the cognitive processes involved in patients’ re-evaluation of their anomalous experiences and of their misinterpretations. The purpose of the present study was to examine the relationship between cognitive insight and subjective quality of life in patients with schizophrenia to further shed light on the nature of cognitive insight and its functional correlates in schizophrenia. Methods: Seventy-one stable outpatients with schizophrenia were evaluated for cognitive insight and subjective quality of life using the Beck Cognitive Insight Scale (BCIS) and the Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4). The symptoms of schizophrenia were also assessed. Pearson’s correlation analysis and partial correlation analysis that controlled for the severity of symptoms were performed to adjust for the possible effects of symptoms. Results: The self-reflectiveness subscale score of the BCIS had significant positive correlations with the SQLS-R4 psychosocial domain and total SQLS-R4 scores, indicating that the higher the level of cognitive insight, the lower the subjective quality of life. In partial correlation analysis controlling for symptoms, the BCIS self-reflectiveness subscale score still had a significant correlation with the SQLS-R4 psychosocial domain score. The correlation coefficient between the BCIS self-reflectiveness and total SQLS-R4 scores was reduced to a nonsignificant statistical tendency. Conclusion: The results of our study suggest that cognitive insight, particularly the level of self-reflectiveness, is negatively associated with the level of subjective quality of life in outpatients with schizophrenia and that this relationship is not wholly due to the confounding effect of symptoms. Future studies are necessary to explore possible mediating and moderating factors and to evaluate the effects of therapeutic interventions on the relationship.
Factors Influencing HPV Vaccine Intentions in Malaysian Men Who Have Sex with Men: A Cross-Sectional Study in Malaysia

In the landscape of healthcare disparities and the marginalized status of men who have sex with men (MSM) in Malaysia, understanding the dynamics surrounding HPV vaccination is of paramount importance. The purpose of this study is to examine the knowledge and attitudes of MSM regarding HPV vaccination and to identify factors that may hinder or facilitate its uptake. The findings will contribute to the development of targeted interventions to promote HPV vaccination and reduce the burden of HPV-related health issues among Malaysian MSM. Between May 2019 and September 2022, an online cross-sectional survey was conducted to collect data through popular social media platforms targeting MSM in Malaysia. A multivariable logistic regression model was employed to investigate the associations between HPV vaccination intention and various influencing factors. Out of the total 411 respondents in the study, 266 (60.3%) indicated an intent to receive the HPV vaccination, falling under the categories of “certain to happen”, “very likely”, and “likely”. The average knowledge score for participants was 6.82 (SD = 3.93, range 0–13) out of a total possible score of 13. In the multivariate logistic model, participants who identified themselves as bisexual (OR 6.93, 95% CI 2.35–20.41) and gay/homosexual (OR 4.36, 95% CI 1.66–11.42) showed a greater inclination to receive the HPV vaccine compared to heterosexual participants. High intent to be vaccinated for HPV infection was positively and significantly associated with a high level of knowledge (OR 1.79, 95% CI 1.09–2.95). In the multivariable model, there was no significant association between all variables of attitudes towards HPV infection and HPV vaccinations and the intention to receive HPV vaccination. Study participants reported a low level of susceptibility to HPV infection despite their perception that HPV infection is severe. Two-thirds of participants expected to encounter stigma in healthcare settings during future implementation of HPV vaccination programs. This study underscores the importance of improving HPV vaccine acceptance among Malaysian MSM due to the moderate acceptance level observed. In Malaysia, promoting HPV awareness, enhancing risk perception, and addressing stigma and sensitivity surrounding HPV vaccination may be beneficial in increasing the vaccination willingness among MSM.
BLOCKCHAIN TECHNOLOGY AND ELECTRONIC SUPPLY CHAIN MANAGEMENT (ESCM)

The study tried to examine to what extent technological, organizational and environmental factors influence the employees’ intention to use block chain technology in the supply chain system of their companies. The study adopted the Technological, Organizational, and Environmental framework as a theoretical base. More, the structural equation modelling technique implemented to examine the proposed hypotheses. Moreover, the findings revealed that only technological and organizational factors have significant effect on employees’ intention to use block chain technology in the supply chain system of their companies. Companies are highly advised to provide more support to the employees in general and those with technological competences specifically as they are expected to play a vital role in supporting the decision of block chain technology use in e-supply chain system of their companies. Furthermore, more investment in technological infrastructure as technology have strong effect on organization to accept and use block chain technology in e-supply chain system.
RECOMMENDING COLLEGE PROGRAMS TO STUDENTS USING MACHINE LEARNING

The decision to choose a program of study is a major one since a student must commit to it for four years, until graduation. Hence it is a crucial decision for academic as well as future career success. Despite this, students often make academic choices without careful thought mainly due to lack of proper advice and support. In this paper, we use four methods that utilize students’ data such as their performance in high school, college placement test, and standardized IELTS exam to recommend a college program as well as predict the students GPA in those programs. Using the four methods utilizes the advantages of each of them and provides insight into the reason for the recommendation. The four methods that we used, evaluated, and compared are Decision Trees (DT), Neural Network (NN), K-Nearest neighbor (KNN), and Linear Regression (LR). To the best of our knowledge, this is the first study that utilizes and compares the different approaches.
A novel de�ned basement membrane-related genes signature for predicting the prognosis of Hepatocellular carcinoma

Background. Hepatocellular carcinoma (HCC) is a highly heterogeneous disease with poor prognosis, making the prediction of the prognosis much challenges. Basement membrane-related genes (BMRGs) play an important role in the progression of cancer. Thus, they are often used as targets to inhibit tumor progression. However, the value of BMRGs in predicting prognosis of HCC still remains to be further elucidated. This study aimed to �nd the relationship between BMRGs and HCC and the value of BMRGs in predicting the prognosis of HCC. Methods. We acquired transcriptome and clinical data of HCC from The Cancer Genome Atlas (TCGA) and randomly divided the data into training and test sets in order to develop a reliable prognostic signature of BMRGs for HCC. The BMRGs model was built using multivariate Cox regression, least absolute shrinkage and selection operator (LASSO), and univariate Cox regression. The risk signature was further validated and assessed using the principal component analysis (PCA), Kaplan-Meier analysis, and time-dependent receiver operating characteristics (ROC). To forecast the overall survival, a nomogram and calibration curves were created (OS). Functional enrichment analysis was used to evaluate the potential biological pathways. We also conducted immunological research and a pharmacological comparison between the high-and low-risk groups in this study. Results. We identi�ed 16 differentially expressed genes and constructed a risk model of four BMRGs, including COL2A1, CTSA, LAMB1,P3H1. The PCA analysis showed that the signature could distinguish the high-and low-risk groups well. Patients in the low-risk group showed signi�cantly better outcome compared with patients in the high-risk group. Receiver operating characteristic (ROC) curve analysis show predictive capacity. Moreover, the nomogram showed good predictability. Univariate and multivariate Cox regression analysis validated that the model results supported the hypothesis that BMRGs were independent risk factors for HCC. Furthermore, analysis of clinical characteristics and tumor microenvironment (TME) between risk groups showed signi�cant difference. Functional analysis revealed different immune-related pathways were enriched, and immune status were different between two risk groups. Mediation analysis with IC50 revealed that the two risk group were signi�cantly different, which could be a guidance of systemic treatment. Finally, we further veri�ed in clinical samples that the mRNA and protein expression levels of the four genes in this model are signi�cantly higher in liver cancer tissues than in adjacent tissues. Conclusion. A novel BMRGs signature can be used for prognostic prediction in HCC. This provide us with a potential progression trajectory as well as predictions of therapeutic response.
THE EFFECT OF COGNITIVE FACTORS IN DETERMINING STUDENT’S SUCCESS IN COMPUTER PROGRAMMING

There is a growing reliance on technology as the core driver of the 4th industrial revolution. This trend not only delineates Information Technology (IT) as a key topic of global discussion but also makes programming the most rapidly growing skills required by employers. Also, on the academic front, it challenges the capability of current curricula to produce competent IT graduates armed with the right skill-set to meet the surging demand for IT professionals. Moreover, addressing this challenge goes beyond designing a university curriculum for fields that offer IT courses with a computer programming component because unlike other subjects, students often have little to no experience with computer programming before arriving at the university. Consequently, teaching and learning computer programming becomes more challenging than other subjects, and aside from the direct result in poor students’ academic performance, fewer students also master the skill. Generally, the debate on improving student’s academic performance has inspired a myriad of investigations into factors with correlative impact. However, while literature significantly links student’s academic performance to the impact of cognatic factors, there is still a need to investigate the impact of cognition on subjects. Such investigation has the potential to contribute toward enhancing curriculum development and inform approaches to teaching and learning. Therefore, in this paper, we investigated the effect of cognitive factors on students’ performance in introductory programming. Using a case study of undergraduate students at a South African University of Technology, our findings show that enhancing cognitive abilities leads to greater performance in introductory programming. More so, personal motivation was found to be the core driving force behind developing and enhancing cognitive ability.
Quinolone Resistance in Bioﬁlm-Forming Klebsiella pneumoniae -Related Catheter-Associated Urinary Tract Infections: A Neglected Problem

Background: Klebsiella pneumoniae is a bacterium that commonly causes urinary tract infections (UTIs) in hospital settings. The widespread and improper usage of quinolones has increased the resistance rates against these broad-spectrum antibiotics. Objectives: This study aimed to examine the connection between the ability to form bioﬁlms and ﬂuoroquinolone resistance in K. pneumoniae isolated from catheter-associated UTIs. Methods: A total of 110 nonduplicative K. pneumoniae -related catheter-associated UTIs were isolated from three large educational hospitals in Babol, north of Iran. The minimal inhibitory concentration (MIC) of ciproﬂoxacin was calculated for each detected isolate using the agar dilution procedure. Bioﬁlm production was investigated by a 96-well ﬂat-bottom microtiter plate. The prevalence of gyrA, parC, qnrA, qnrS, acc (6’)-Ib-cr, qepA, qnrB, oqxA, and oqxB genes was evaluated using polymerase chain reaction (PCR). Results: Overall, 28.2% of the strains were resistant to imipenem and considered carbapenem-resistant K. pneumoniae (CRKp). Ciproﬂoxacin resistance was observed in 66.4%. Moreover, 70% of the isolates produced bioﬁlm. Bioﬁlm production was signiﬁcantly higher in ciproﬂoxacin-resistant compared to ciproﬂoxacin-susceptible strains (P-value < 0.05). Molecular distributionof resistancegenesinthe68-ﬂuoroquinoloneresistance-Kpstrainsshowedthattheprevalenceof gyrA,parC,qnrA,qnrS, acc (6’)-Ib-cr, qepA„ qnrB, oqxA, and oqxB genes was 39.7%, 42.6%, 5.9%, 54.4%, 69.1%, 94.1%, 41.2%, 69.1%, and 83.8%, respectively. Conclusions: Our study highlights the high prevalence of plasmid-mediated quinolone resistance genes in clinical samples of K. pneumoniae in the studied region, which is alarming given the possibility of the spread of these pathogens and the few treatments available for infections brought on by multidrug-resistant strains. Moreover, the study characterizes particular mutations in the parC and gyrA genes that cause quinolone resistance.
FACIAL EMOTION RECOGNITION BASED ON DEEP LEARNING TECHNIQUE

We have created a Deep Learning network to identify the emotion of a person. It is based on seven facial expressions. (angry, disgust, sadness, happy, nature, fear, and surprise). We used extended Cohn–Kanade (CK+) database basis of (10-fold cross-validation) to identify 6 facial expressions. The Deep Learning Network scored a recognition average of 88.9%. As you can see in the confusion matrix, the expressions happy and surprised achieved the best recognition rates 98.92 and 97.23 successively. We also used, in another experiment, the JAFFE database basis of (LOOCV) and it scored a recognition average of 88%. As you can see in the confusion matrix that the expressions of fear and surprise achieved the best recognition rates 93.33 and 93.33, respectively. We compared the performance of the proposed system to similar studies that followed the same databases with the same sample and the same style. The system we used outscored other systems in the other studies. We also compared in detail the percentage of identification performance for each expression in isolation using the extended Cohn–Kanade (CK+) database. We compared our study to other studies and we found that our system did better.
Cosmic ray measurements in the atmosphere at several latitudes in October

Cosmic ray ﬂuxes in the atmosphere were recorded during balloon ﬂights in October 2014 in northern Murmansk region, Apatity (Russia; 67 o 33’N, 33 o 24’E), in Antarctica (observatory Mirny; 66 o 33’S, 93 o 00’E), in Moscow (Russia; 55 o 45’N, 37 o 37’E), in Reading (United Kingdom; 51 o 27’N, 0 o 58’W), in Mitzpe-Ramon (Israel; 30 o 36’N, 34 o 48’E) and in Zaragoza (Spain; 41 o 9’N, 0 o 54’W). Two type of cosmic ray detectors were used, namely, (1) the standard ra-diosonde and its modiﬁcation constructed at the Lebedev Physical Institute (Moscow, Russia) and (2) the device manufactured at the Reading University (Reading, United Kingdom). We compare and analyze obtained data and focus on the estimation of the cosmic ray latitudinal
Detection of urban �ood inundation from tra�c images using deep learning methods

Urban hydrological monitoring is the basis for urban hydrological analysis and storm �ood control. However, current monitoring of urban hydrological data is insu�cient, including �ood inundation depth. This limits calibration and �ood early warning ability of the hydrological model. In response to this limitation, a method for evaluating the depth of urban �oods based on image recognition using deep learning was established in this study. This method can identify the submerged positions of pedestrians or vehicles in the image, such as pedestrian legs and car exhaust pipes, using the object recognition model YOLOv4. The mean average precision of water depth recognition in a dataset of 1177 �ood images reached 89.29%. The established method extracted on-site, real-time, and continuous water depth data from images or video data provided by existing tra�c cameras. This system does not require installation of additional water gauges and thus has a low cost and immediate usability.
Risk strati�cation, Knowledge and Awareness of Obstructive sleep apnea among Egyptians attending outpatient clinics; A cross-sectional study

Introduction: Obstructive sleep apnea (OSA) is a common sleep disorder that causes upper airway collapse, leading to sleep apnea or hypopnea, and is associated with serious health conditions. Despite its prevalence, it is an underdiagnosed and undertreated disease. We aimed to measure the prevalence of OSA risk and detect the level of knowledge of OSA among Egyptians attending outpatient clinics. Methods: A cross-sectional study was conducted at two university hospitals in Cairo using the Berlin Questionnaire and OSA Knowledge and Attitude Questionnaire (OSAKA). The participants were recruited from the outpatient clinics of Al-Hussein University Hospital and Al-Sayed Galal University Hospital. We used a validated Arabic translated version of the Berlin Questionnaire. Ten questions across three domains were tested: the presence and severity of snoring, frequency of daytime sleepiness, and presence of obesity or hypertension. A translation of �ve questions from (OSAKA) deemed suitable for the general population, was also used.
Brood parasitism and egg recognition in three bunting hosts of the cuckoos

Abstract Comparative studies of egg recognition and rejection between various sympatric hosts provide insight into the coevolutionary history of the hosts and parasites, as well as the degree of antagonism between the species. Although buntings are widely considered to be a suitable host taxon for cuckoos, there has been relatively little research on this example of parasitism and host antiparasitic behaviour. Here we provided the first report on brood parasitism and egg recognition in three sympatric ground‐nesting bunting hosts of the common cuckoo (Cuculus canorus), namely the yellow‐throated bunting (Emberiza elegans), south rock bunting (E. yunnanensis), and crested bunting (E. lathami). The results show that for the five breeding seasons during 2018–2022, the parasitism rate by common cuckoos was 0.87% and 0.45% in yellow‐throated buntings and south rock buntings, respectively, whereas the parasitism rate by an unidentified parasite was 4% during 2018–2023 in the crested bunting. The rejection rates of the three bunting hosts for blue non‐mimetic eggs were 89.3%, 88.9%, and 100% for yellow‐throated buntings, south rock buntings, and crested buntings, respectively. The rejection rates for red non‐mimetic eggs by yellow‐throated buntings and south rock buntings were lower at 76.9% and 82.4%, respectively. All three sympatric bunting hosts examined had high levels of egg recognition and egg rejection, suggesting that it may have been subjected to high parasitic history and that egg recognition ability was retained after the loss of parasitism, which needs to be further verified by future experiments.
Registered report protocol: Perceptual effects of Arabic grammatical gender on occupational expectations in a gamified speech production task

The default use of masculine morphology to refer to all genders in Arabic-speaking countries is largely unquestioned and widely accepted. However, research on masculine generic morphology in other gender-marked languages has shown that this can create an over-representation of men and a male-bias in perception. Given the extensive use of default masculine grammatical gender in the context of job recruitment, education, and formal communication where women are typically underrepresented and men overrepresented, this widely accepted notion needs to be investigated. The primary aim of this research is to understand how grammatical gender in Arabic mediates occupational expectations based on the language currently used in job recruitment in Arabic speaking countries. Specifically, the study explores how the use of default masculine grammatical gender can create a male-bias in perception. The secondary aim of this research is to test whether gender-inclusive language can reduce this male-bias in perception and instead increase the accessibility, activation, and retrieval of exemplars related to other gender minorities (i.e., reduce male-bias in perception). This is achieved through a novel prompted speech production experiment, based on an adaptation of the popular board game ’Taboo’ where participants are asked to describe role nouns presented (e.g., doctor or nurse) in different language conditions.
From green to red: Urban heat stress drives leaf color evolution

Prevalence of impervious surface and resulting higher temperatures in urban areas, known as urban heat islands, comprises prominent characteristics in global cities. However, it is not known whether and how urban plants adapt to such heat stress. This study focused on Oxalis corniculata, which has intraspecific polymorphism in leaf color (green and red) and examined whether the leaf color variation is associated with urban heat stress. Field observations revealed that green-leaved plants were dominant in green habitats, and red-leaved individuals were dominant in urban habitats, at local (<500 meters), landscape (<50 kilometers), and global scales. Growth and photosynthesis experiments demonstrated that red-leaved individuals performed better under heat stress, while green-leaved individuals performed better under nonstressful conditions. Genome-wide SNP analysis suggests that the red leaf may have evolved multiple times from the ancestral green leaf. Overall, the results suggest that the red leaves of O. corniculata observed in cities worldwide are evidence of plant adaptive evolution due to urban heat islands.