Miracle-dz/UniFAR-FTUs huggingface dataset:
Updating and Testing Beliefs: An Open Version of Bayes' Rule

Developing models to describe real systems is a challenge because it is difficult to assess and control the residual between the two entities. Bayesian updating of a belief about model accuracy across an ensemble of available models can lead to spurious results, since the application of Bayes’ rule presupposes that an accurate model is contained in the ensemble with certainty. We present a framework in which this assumption can be dropped. The basic idea is to extend Bayes’ rule to the exhaustive, but unknown space of all models, and then contract it again to the known set of models by making best/worst case assumptions for the remaining space. We show that this approach leads to an e-contamination model for the posterior belief, where the e-contamination is updated along with the distribution of belief across available models. In essence, the e-contamination provides an additional test on the accuracy of the overall model ensemble compared to the data, and will grow rapidly if the ensemble fails such a test. We demonstrate our concept with an example of autoregressive processes.
A Score approach to identify the risk of students dropout: an experiment with Information Systems Course

Context: The student dropout in Higher Education contributes to much social, economic, and academic loss. Students have different reasons for dropping out but the main ones are related to difficulty in learning the content, the structure proposed by the course, and the lack of financial resources. Problem: Besides understanding the motive for students completely abandoned their studies, the most important problem is identifying which groups of students are at risk of dropping out. However, studies focus essentially on categorical indicators, i.e., binary results that denote whether a student is or is not in the risk group. This type of analysis is important, but, it does not present the variation in the student’s performance during their academic life. Solution: Creating a score using machine learning techniques (KNN) can provide an instrument to measure how close the student is or not to the dropout group. Theory: We used Organizational knowledge creation to make available and expand knowledge about dropping and to provide inputs for the creation of a knowledge system. Method: The experimental study is quantitative and it was performed from the execution of KNN and its validation from statistical analyses. Results: With equation developed and accuracy of 87% with KNN, was possible to develop a drop out risk score with values between 0 and 1,000, where the closer to 0, the greater the probability of the student to drop out. Contributions and Impact in the IS area: The main contribution of the paper is to provide a new method to assist in the analysis of higher education dropout in Information System and other courses.
The Effect of System Quality, Information Quality, and Service Quality on the Continued Usage of Mobile Payment Application in Thailand

Recent years, researchers shifted their focus from mobile payment application acceptance to mobile payment continuous use intention. This study continues the line by proposing a research model to explain the intention to continue by combining the Information Systems Success Model (IS Success Model) and the Expectation Confirmation Model (ECM). A survey conducted online was used to collect data from 315 respondents in order to assess and confirm the suggested theoretical model by the structural equation model (SEM). The findings revealed that information quality, service quality, confirmation, post-usage perceived usefulness, and satisfaction are the most crucial predictors of continued intention to use mobile payment application. The model R2 is 0.532, indicating that these factors could adequately explain the continuous use intention.
Planned Behavior and Social Cognitive in Predicting E-Business Intention to Adopt Eco-design

The COVID-19 pandemic has hit the economy. Countries have taken off to emerge from these conditions. In Indonesia, the economic revival was driven by the development of the e-business sector. However, can these new emerging e-business survive to compete with existing big companies? E-business must have a competitive advantage, and one of them is through innovation based on eco-design. Our study examines the factors which influence e-business intention to adopt eco-design. These factors are based on the theoretical approach of planned behavior and social cognitive theory. Our research is a quantitative study using structural equation modeling partial least squares. We use a questionnaire to gather primary data. We choose e-business entrepreneurs as respondents and processing data using SMART PLS 3 software. We share questionnaires to 200 small medium e-business practitioner. Our results found that attitude and self-efficacy had a significant effect on e-business intention to adopt eco-design, while subjective norm and perceived behavior control each has no significant effect.
Ameliorative effects of Kyung-Ok-Ko and its mixture with Pueraria lobata Ohwi on postmenopausal osteoporosis by promoting phytoestrogenic activity in rats

Introduction Kyung-Ok-Ko (KOK) is a popular traditional medicine used as a natural alternative to hormone replacement therapy for treating postmenopausal symptoms in Asia. Pueraria lobata Ohwi (P. lobata) is rich in isoflavones and has been traditionally used in combination with other herbs to produce synergistic and pharmaceutical effects via a multi-target approach for disease treatment. We aimed to investigate the phytoestrogenic effects of KOK extract against postmenopausal symptoms in ovariectomized (OVX) rats and confirm its efficacy by mixing KOK and P. lobata extracts. Methods OVX rats were daily oral administrated with KOK and KOK + P. lobata mixture extracts (300–400 mg/kg) and their body weight and tail temperature were monitored for 12 weeks. The biochemical parameters, estradiol levels, and bone turnover markers were measured in the serum samples. Moreover, the estrogen receptor, ER-α and ER-β expression in the uterus and the uterus morphology were evaluated. AMPK, ATG1/ULK1, and mTOR protein expression in the liver were assessed. Results The 12-week treatment with KOK and KOK + P. lobata mixture extracts did not cause liver damage or hormonal changes in the OVX rats. The treatments reduced the high lipid accumulation-related body weight gain and the tail temperature increase that was induced by ovariectomy. Further, it exhibited protective effects against hyperlipidemia and osteoporosis. No significant difference was observed in uterine weight compared to the OVX-treated group, while endometrial thickness reduction inhibition was observed due to ovariectomy. Bone mineral density (BMD) and serum osteocalcin levels, which decreased in OVX rats, increased with both treatments. Western blotting analysis showed that ER-α and ER-β were not expressed in the treated rats, whereas these proteins were expressed in Sham-operated rats. No significant differences in the phosphorylation of AMPK were observed; however, the ATG1/ULK1 and mTOR protein phosphorylation levels were upregulated and downregulated in the treated rats compared to those of OVX rats, respectively. Conclusion This is the first in vivo study observing the efficacy and synergistic effects of the mixture of KOK and P. lobata. Our results suggest the potential of KOK and KOK + P. lobata mixture as an alternative therapy for alleviating menopausal symptoms.
The impact of non-pharmaceutical interventions on premature births during the COVID-19 pandemic: a nationwide observational study in Korea

Background Non-pharmaceutical interventions (NPIs), such as social distancing and hand washing, have been associated with a decline in the preterm birth rate worldwide. We aimed to evaluate whether the preterm birth rate in Korea during the coronavirus disease 2019 lockdown has changed compared to that in previous years. Method A birth registry from the Korea Statistical Information Service, which is a nationwide official database, was used to include all births claimed to have occurred between 2011 and 2020. Newborns with gestational age (GA) less than 22 weeks and birth weight less than 220 g were excluded. The pre-NPI period was designated as January 2011 to January 2020, and the NPI period was defined as February 2020 to December 2020. We assessed the effect of NPI on the incidence of prematurity per 100 births using an interrupted time-series quasi-experimental design and implementing an autoregressive integrated moving average (ARIMA) model. Results From 2011 to 2020, a total of 3,931,974 live births were registered, among which 11,416 were excluded. Consequently, the final study population included 3,920,558 live births (both singleton and multiple births) among which 275,009 (7.0%) were preterm. The preterm birth rate was significantly higher during the NPI period (8.68%) compared to that in the pre-NPI period (6.92%) (P < 0.001). The ARIMA model showed that in all singleton and multiple births, except those in July (observed 9.24, expected 8.54, [95% prediction interval {PI} 8.13–8.96], percent difference 7.81%), September (observed 7.89, expected 8.35, [95% PI 7.93–8.76], percent difference −5.66%), and December (observed 9.90, expected 9.40, [95% PI 8.98–9.82], percent difference 5.2%), most observed values were within the 95% PI of the expected values and showed an increasing trend. Conclusion In this nationwide observational study, the trend in premature birth rate did not significantly change due to NPI implementation in Korea, as it had been increasing since 2011. The trend of Korea's birth rate appears to be unaffected by the implementation of NPIs; however, further studies with a longer follow-up period are needed.
Current and potential roles of immuno-PET/-SPECT in CAR T-cell therapy

Chimeric antigen receptor (CAR) T-cell therapies have evolved as breakthrough treatment options for the management of hematological malignancies and are also being developed as therapeutics for solid tumors. However, despite the impressive patient responses from CD19-directed CAR T-cell therapies, ~ 40%−60% of these patients' cancers eventually relapse, with variable prognosis. Such relapses may occur due to a combination of molecular resistance mechanisms, including antigen loss or mutations, T-cell exhaustion, and progression of the immunosuppressive tumor microenvironment. This class of therapeutics is also associated with certain unique toxicities, such as cytokine release syndrome, immune effector cell-associated neurotoxicity syndrome, and other “on-target, off-tumor” toxicities, as well as anaphylactic effects. Furthermore, manufacturing limitations and challenges associated with solid tumor infiltration have delayed extensive applications. The molecular imaging modalities of immunological positron emission tomography and single-photon emission computed tomography (immuno-PET/-SPECT) offer a target-specific and highly sensitive, quantitative, non-invasive platform for longitudinal detection of dynamic variations in target antigen expression in the body. Leveraging these imaging strategies as guidance tools for use with CAR T-cell therapies may enable the timely identification of resistance mechanisms and/or toxic events when they occur, permitting effective therapeutic interventions. In addition, the utilization of these approaches in tracking the CAR T-cell pharmacokinetics during product development and optimization may help to assess their efficacy and accordingly to predict treatment outcomes. In this review, we focus on current challenges and potential opportunities in the application of immuno-PET/-SPECT imaging strategies to address the challenges encountered with CAR T-cell therapies.
Association between obesity and dental caries among adolescents in UAE: a pilot cross sectional study

Background Obesity and dental caries among adolescents is a growing worldwide public health issue. They share some common and modifiable influences. The objective of this study was to evaluate the association between obesity and dental caries among adolescents in the United Arab Emirates (UAE). Methods This pilot cross-sectional study enrolled 161 adolescents 13–19 years old from private and public schools in the UAE. Participants were classified as normal weight, underweight, overweight or obese. Dental caries was diagnosed according to the criteria recommended by the World Health Organization (WHO). Independent t-tests were used to compare average number of decayed, missing and filled surfaces (DMFS) by age, sex, school type, mothers’ employment, BMI categories, waist circumference, oral health habits and plaque index. Additionally, a multiple linear regression model was applied to analyze the association between BMI, waist circumference and dental caries, adjusted for confounding factors considered in this study. Results The average age of the participants was 16.2 ± 1.4 years old. The prevalence of overweight/obesity was 42% (N = 68) measured by BMI. In addition, 82% (N = 132) had average waist circumference and 18% (N = 29) with above average waist circumference. Overall, the average DMFS score was 4.35 ± 4.5, with significantly lower dental caries rates among girls ([3.3 (SD:4.0)] than boys (6.7 (SD:5.3), (p < 0.05). The linear regression model revealed that, being a male, attending a public school and having average waist circumference were all positively and significantly associated with dental caries (p < 0.05). Conclusion Obesity measured by waist circumference was significantly associated with dental caries among adolescents in the UAE. Further research is required to investigate the complex association between obesity and dental caries and how dietary habits, oral hygiene habits, and parental socioeconomic status mediate the association between obesity and dental caries.
CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum

Introduction Phytophthora ramorum is a quarantine pathogen that causes leaf blight and shoot dieback of the crown, bark cankers and death on a number of both ornamental and forest trees, especially in North America and northern Europe, where it has produced severe outbreaks. Symptoms caused by P. ramorum can be confused with those by other Phytophthora and fungal species. Early and accurate detection of the causal pathogen P. ramorum is crucial for effective prevention and control of Sudden Oak Death. Methods In this study, we developed a P. ramorum detection technique based on a combination of recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology (termed RPACRISPR/ Cas12a). Results This novel method can be utilized for the molecular identification of P. ramorum under UV light and readout coming from fluorophores, and can specifically detect P. ramorum at DNA concentrations as low as 100 pg within 25 min at 37°C. Discussion We have developed a simple, rapid, sensitive, unaided-eye visualization, RPA CRISPR/Cas12a-based detection system for the molecular identification of P. ramorum that does not require technical expertise or expensive ancillary equipment. And this system is sensitive for both standard laboratory samples and samples from the field.
Relationship between temporal dynamics of intrinsic brain activity and motor function remodeling in patients with acute BGIS

Background patients with acute basal ganglia ischemic stroke (BGIS) show changes in local brain activity represented by the amplitude of low-frequency fluctuation (ALFF), but the time-varying characteristics of this local nerve activity are still unclear. This study aimed to investigate the abnormal time-varying local brain activity of patients with acute BGIS by using the ALFF method combined with the sliding-window approach. Methods In this study, 34 patients with acute BGIS with motor dysfunction and 44 healthy controls (HCs) were recruited. The dynamic amplitude of low-frequency fluctuation (dALFF) was employed to detect the alterations in brain activity induced by acute BGIS patients. A two-sample t-test comparison was performed to compare the dALFF value between the two groups and a Spearman correlation analysis was conducted to assess the relationship between the local brain activity abnormalities and clinical characteristics. Results Compared with HCs, the activity of neurons in the left temporal pole (TP), parahippocampal gyrus (paraHIP), middle occipital gyrus (MOG), dorsolateral superior frontal gyrus (SFGdl), medial cingulate cortex (MCC), right rectus, precuneus (PCu) and right cerebellum crus1 were significantly increased in patients with BGIS. In addition, we found that there was a negative correlation (r = −0.458, p = 0.007) between the dALFF value of the right rectus and the scores of the National Institutes of Health Stroke Scale (NIHSS), and a positive correlation (r = 0.488, 0.499, p < 0.05) with the scores of the Barthel Index scale (BI) and the Fugl Meyer motor function assessment (FMA). ROC analysis results demonstrated that the area under the curves (AUC) of the right rectus was 0.880, p<0.001. Conclusion The pattern of intrinsic brain activity variability was altered in patients with acute BGIS compared with HCs. The abnormal dALFF variability might be a potential tool to assess motor function in patients with acute BGIS and potentially inform the diagnosis of this disease.
Psychopathology in female offenders of terrorism and violent extremism: a systematic review

Introduction Terrorism and violent extremism are major social threats worldwide and are committed not only by men but also by women. Previous research has shown indications of psychopathology, among other personal and contextual factors, as a potential risk factor for perpetrating terrorist and violent extremist crimes. Despite the fact that women have engaged in acts of terrorism and violent extremism throughout history, the vast majority of literature on psychopathology so far has been mainly focused on men with terrorist and violent extremist behavior. As women's engagement in terrorism and violent extremism is increasing, and gender differences in psychopathology in offenders of terrorism or violent extremism may exist based on empirical evidence for such differences in offenders of violence, gender-informed research into psychopathology as a potential risk factor for offending is of pivotal importance for improving the effectiveness of counter-terrorism interventions. The present systematic review was designed to examine what empirical knowledge exists on the presence and potential contributing role of psychopathology in female perpetrators of terrorism or violent extremism. Methods A literature search was conducted to identify primary source studies in PsycINFO, PubMed, Embase, Web of Science, and Sociological Abstracts. ASReview as an artificial intelligence software was used to screen references. Results In total, eight studies were included, of which only two studies distinguished prevalence rates and types of psychopathology separately for women, indicating personality disorder as most common. All four out of the eight studies that reported on the relationship between psychopathology and terrorism and violent extremism assumed psychopathology to be a contributing factor in engaging in terrorist or violent extremist acts. However, none of these four studies reported on potentially present female-specific mechanisms of the role of psychopathology in offenses. Discussion The present systematic review draws the striking conclusion that there is a lack of clearly described empirical studies on psychopathology in female perpetrators of terrorism and violent extremism and emphasizes the importance of more future empirically based inquiries on this topic by the forensic psychiatric field. Systematic review registration https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=275354, identifier: CRD42021275354.
Aedes aegypti salivary gland extract alleviates acute itching by blocking TRPA1 channels

Aedes aegypti (Ae. aegypti) saliva induces a variety of anti-inflammatory and immunomodulatory activities. Interestingly, although it is known that mosquito bites cause allergic reactions in sensitised hosts, the primary exposure of humans to Ae. aegypti does not evoke significant itching. Whether active components in the saliva of Ae. aegypti can counteract the normal itch reaction to injury produced by a histaminergic or non-histaminergic pathway in vertebrate hosts is unknown. This study investigated the effects of Ae. aegypti mosquito salivary gland extract (SGE) on sensitive reactions such as itching and associated skin inflammation. Acute pruritus and plasma extravasation were induced in mice by the intradermal injection of either compound 48/80 (C48/80), the Mas-related G protein-coupled receptor (Mrgpr) agonist chloroquine (CQ), or the transient receptor potential ankyrin 1 (TRPA1) agonist allyl isothiocyanate (AITC). The i.d. co-injection of Ae. aegypti SGE inhibited itching, plasma extravasation, and neutrophil influx evoked by C48/80, but it did not significantly affect mast cell degranulation in situ or in vitro. Additionally, SGE partially reduced CQ- and AITC-induced pruritus in vivo, suggesting that SGE affects pruriceptive nerve firing independently of the histaminergic pathway. Activation of TRPA1 significantly increased intracellular Ca2+ in TRPA-1-transfected HEK293t lineage, which was attenuated by SGE addition. We showed for the first time that Ae. aegypti SGE exerts anti-pruriceptive effects, which are partially regulated by the histamine-independent itch TRPA1 pathway. Thus, SGE may possess bioactive molecules with therapeutic potential for treating nonhistaminergic itch.