Miracle-dz/UniFAR-FTUs huggingface dataset:
Perinatal Outcomes of Newborns of COVID-19-Infected Pregnant Women: An Updated Systematic Review and Meta-Analysis

In this systematic review and meta-analysis, we aimed to review the characteristics and outcomes of the newborns of Coronavirus disease 2019 (COVID-19) infected pregnant women. We conducted an online bibliographic search using the following electronic databases: MEDLINE via PubMed, Scopus, Web of Science, and Cochrane Central. Studies were deemed eligible if they recruited newborns from mothers with confirmed COVID-19 and reported the perinatal outcomes of neonatal COVID-19 cases. A total of 20 studies were included. Neonates born to mothers with positive COVID-19 results have been shown to have significantly lower birth weights (mean difference, MD = -48.54 g, p = 0.04), increased risks of fetal distress (odds ratio, OR = 1.76, p < 0.00001), respiratory distress (OR = 1.96, p = 0.006), premature birth (OR = 2.08, p < 0.00001), neonatal death (OR = 2.20, p = 0.004), and a lower 5-minute Apgar score (OR = 1.44, p = 0.02). Additionally, they were more likely to be admitted to the neonatal intensive care unit (NICU) (OR = 2.25, p = 0.007) and test positive for COVID-19 themselves (OR = 9.88, p = 0.03). However, other parameters, such as risks for malformations, mechanical ventilation, hypoglycemia, and sepsis, appeared to be comparable between the two groups. Maternal infection with COVID-19 during pregnancy is associated with several neonatal outcomes, some of which are adverse and others that do not show significant deviation from norms. While our meta-analysis clearly illustrates heightened risks associated with premature birth, reduced neonatal weight, and other challenges, it also emphasizes that not all neonatal outcomes can be directly attributed to maternal SARS-CoV-2 infection.
Multiple Protocols Interworking With Open Connectivity Foundation in Fog Networks

Intelligent applications have greatly promoted the development of fog computing. The protocols have emerged diversely, causing the problems in the interworking between terminal devices, which has seriously hindered the development of fog computing. Based on the open connectivity foundation (OCF) protocol, this paper proposes an interworking solution for intelligent devices and designs an OCF-based multi-protocol gateway to access non-OCF services. The main functions are divided into three categories: manager, adapter, and device agent. In part, the manager provides centralized management services, the adapter provides communication services between the client and the server device, and the device agent provides access services for the server device. The semantic conversion scheme of an OCF protocol with other protocols is proposed in the device agent, which solves the problem of interoperability between an OCF client device and non-OCF server devices. Finally, the OCF multi-protocol interworking gateway was built, and the semantic conversion between the OCF protocol, AllJoyn protocol, and the ZigBee protocol was implemented. The interoperability between the OCF client, AllJoyn device, and ZigBee device was verified.
Accelerating neurotechnology development using an Agile methodology

Novel bioelectronic medical devices that target neural control of visceral organs (e.g., liver, gut, spleen) or inflammatory reflex pathways are innovative class III medical devices like implantable cardiac pacemakers that are lifesaving and life-sustaining medical devices. Bringing innovative neurotechnologies early into the market and the hands of treatment providers would benefit a large population of patients inflicted with autonomic and chronic immune disorders. Medical device manufacturers and software developers widely use the Waterfall methodology to implement design controls through verification and validation. In the Waterfall methodology, after identifying user needs, a functional unit is fabricated following the verification loop (design, build, and verify) and then validated against user needs. Considerable time can lapse in building, verifying, and validating the product because this methodology has limitations for adjusting to unanticipated changes. The time lost in device development can cause significant delays in final production, increase costs, and may even result in the abandonment of the device development. Software developers have successfully implemented an Agile methodology that overcomes these limitations in developing medical software. However, Agile methodology is not routinely used to develop medical devices with implantable hardware because of the increased regulatory burden of the need to conduct animal and human studies. Here, we provide the pros and cons of the Waterfall methodology and make a case for adopting the Agile methodology in developing medical devices with physical components. We utilize a peripheral nerve interface as an example device to illustrate the use of the Agile approach to develop neurotechnologies.
A Relational-Cultural Approach to Examining Concealment among Latter-Day Saint Sexual Minorities

Sexual minorities often conceal their sexual identity from others to avoid distal stressors. Such concealment efforts occur more frequently among sexual minorities in religious settings where rejection and discrimination are more likely. Using a sample of 392 Latter-day Saint (“Mormon”) sexual minorities, we assess (a) the effect of religious affiliation on concealment efforts, (b) the relationship between social support, authenticity, and religious commitment on concealment, and (c) the moderating effect of authenticity on religious commitment and concealment. Multi-level model analyses revealed that religious affiliation alone accounted for over half (51.7%) of the variation in concealment efforts for Latter-day Saint sexual minorities. Social support directly was related to less concealment, whereas religious commitment was related to more concealment, with authenticity moderating the impact of religious commitment on concealment efforts. The present study provides insight into how religious sexual minorities may approach relationships and inadvertently wound their chances to connect with others.
Advanced Bioresin Formulation for 3D-Printed Bone Scaffolds: PCLDMA and p-PLA Integration

In bone tissue engineering, scaffold attributes such as pore dimensions and mechanical strength are crucial. This study synthesized polycaprolactone dimethacrylate (PCLDMA) from polycaprolactone (PCL), incorporating epichlorohydrin (Epi-PCL) and methacryloyl chloride (Meth-Cl). PCLDMA was blended with polylactic acid (p-PLA) to 3D-print bone scaffolds using stereolithography (SLA). Analytical techniques included nuclear magnetic resonance (NMR), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and compression testing. Degradation kinetics and cell viability were investigated using human osteoblast (HOB) cells. Findings revealed PCLDMA/p-PLA composite scaffold superiority over the original polymers. Notably, PCLDMA-60 (60% PCLDMA, 40% p-PLA) displayed optimal properties. Compressive strength varied from 0.019 to 16.185 MPa, porosity from 2% to 50%, and degradation rates from 0% to 0.4% over three days. Cell viability assays affirmed biocompatibility across various PCLDMA ratios. In conclusion, PCLDMA/p-PLA composite scaffolds, particularly PCLDMA-60, show great potential in bone tissue engineering.
Girls referred for amenorrhea: analysis of a patient series from a specialist center

Objective Among adolescents, amenorrhea is a common reason for medical consultation. Despite the variety of underlying etiologies, the prevalence of the causes is incompletely understood. This study aimed to assess the demographic and etiological factors among patients with amenorrhea treated in a single specialist unit of adolescent gynecology. Design Retrospective register study. Methods Medical records of 438 girls evaluated for primary or secondary amenorrhea in a single tertiary care center between 2015 and 2019 were retrospectively reviewed. In all, 423 patients—171 with primary amenorrhea and 252 with secondary amenorrhea—were included in the study. Data on underlying conditions, anthropometric variables, and selected hormonal markers were analyzed. Results Functional hypogonadotropic hypogonadism was the most frequent reason for primary (56%) and secondary (78%) amenorrhea. It was mostly explained by lifestyle-related functional hypothalamic amenorrhea caused by disordered eating, intense exercise, energy deficiency, psychological stress, and their combinations. Conclusion Menstrual pattern is a significant indicator of overall health and well-being among adolescent girls and young women. Functional reasons behind primary and secondary amenorrhea are important to recognize. Treatment often requires long-term lifestyle modifications. The frequency of functional causes also implies that most amenorrhea cases are preventable.
Contrast Analysis of Background Error of MM5 3DVAR System in Cold and Warm Seasons in Beijing

NMC method is widely used to statistically analyze background error covariances currently.In this paper,based on a month-long series of model forecast fields in August 2002 and February 2003,the background error covariance of high-resolution mesoscale model MM5V3 in cold and warm seasons,which is about to pre-operationally run in Beijing region,is computed using NMC method.The detail climatological statistical characteristics are present as well.The results show that different model variables has different background error characteristics,even the same model variable has different background error characteristics when model resolution or model vertical-level changes.The characteristics are also different in cold and warm seasons,mainly wind field.All those characteristics are corresponding to averaged weather condition in the forecast region.Consequently,3DVAR should be done respectively for different model domains.In practical run of MM5 3DVAR system in Beijing,method used to compute and update background error covariance should be developed incorporating actual seasonal variation of weather condition.
Implementation of Behavioristic Counseling Guidance Model to Improve Student Behavior Discipline In Islamic Elementary Schools

: Behavioral counseling is one technique of theory-based therapy, behavior-focused learning in-demand individuals and helping counselees learn to act in-demand new to solving problems through action-oriented techniques. The subjects in this study were ten Islamic elementary school fifth-grade students identified as having low discipline. The data was obtained from the documentation on the card violation students recommended by the guidance counselor at school. Discipline-level students have seen many score rule violations in schools on the card violation student. The higher the score rule violation in school, the lower-level discipline students obey the school rules. On the contrary, more and more low score violations against the rules of the school, then the higher level discipline students in obeying the school rules. This research aims to test the implementation of counseling group behavior in helping increase discipline students in obeying Islamic elementary school rules. The data collection method used in this study is the test. This research is a pre-experimental design study with a one-group pre-test and post-test design model. The subjects in this study were ten fifth-grade Islamic elementary school students with current levels of discipline until low adherence to the school rules. The data analysis technique used in this study is a non-parametric analysis using the sign test with a level of 5% significance. Results of data analysis obtained that there is influence from application counseling group behavior for increase discipline students in obeying the rules school in fifth-grade elementary school students.
Public Health Insurance Status and Utilization of Healthcare Services Across India: A Narrative Review

Health insurance literacy gauges how knowledgeable people are regarding the comparison of health insurance plans to find out the optimal health plan that suits their needs and preferences. Enrolling in a comprehensive plan and proactively addressing health and financial aspects can fortify the stability of families. The plan needs to be used effectively by adapting to evolving circumstances and prioritizing the well-being and prosperity of the household. Having public health insurance can significantly impact an individual's utilization of healthcare services. Having health insurance encourages individuals to promptly seek medical attention without hesitating or avoiding treatment due to financial worries. This results in higher utilization of healthcare services, encompassing routine check-ups, preventive care, and timely intervention for illnesses and injuries. Public health insurance can also improve access to specialized care and expensive treatments that may otherwise be unaffordable for individuals without insurance. By having health insurance, individuals and families can experience a decrease in the economic strain associated with healthcare expenses, thereby enhancing the accessibility and affordability of healthcare services.
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps

Significant in lifestyle have reshaped the Internet landscape, resulting in notable shifts in both the magnitude of Internet traffic and the diversity of apps utilized. The increased adoption of communication-and-collaboration apps, also fueled by lockdowns in the COVID pandemic years, has heavily impacted the management of network infrastructures and their traffic. A notable characteristic of these apps is their multi-activity nature, e.g., they can be used for chat and (interactive) audio/video in the same usage session: predicting and managing the traffic they generate is an important but especially challenging task. In this study, we focus on real data from four popular apps belonging to the aforementioned category: <monospace>Skype</monospace>, <monospace>Teams</monospace>, <monospace>Webex</monospace>, and <monospace>Zoom</monospace>. First, we collect traffic data from these apps, reliably label it with both the app and the specific user activity and analyze it from the perspective of traffic prediction. Second, we design data-driven models to predict this traffic at the finest granularity (i.e., at packet level) employing four advanced multitask deep learning architectures and investigating three different training strategies. The trade-off between performance and complexity is explored as well. We publish the dataset and release our code as open source to foster the replicability of our analysis. Third, we leverage the packet-level prediction approach to perform aggregate prediction at different timescales. Fourth, our study pioneers the trustworthiness analysis of these predictors via the application of eXplainable Artificial Intelligence to <inline-formula> <tex-math notation="LaTeX">$(a)$ </tex-math></inline-formula> interpret their forecasting results and <inline-formula> <tex-math notation="LaTeX">$(b)$ </tex-math></inline-formula> evaluate their reliability, highlighting the relative importance of different parts of observed traffic and thus offering insights for future analyses and applications. The insights gained from the analysis provided with this work have implications for various network management tasks, including monitoring, planning, resource allocation, and enforcing security policies.
Leadership lessons through a lyrical lens

PurposeThe purpose of this manuscript is to explore an assignment given to students in an online gender and leadership graduate course as a tool to help them think critically about how music influences perceptions of gender roles in both society and leadership.Design/methodology/approachThe assignment directs students to review the current Billboard “Hot 100” chart, which lists the top 100 songs in the United States each week based on sales and streams. Students are prompted to identify a song with gendered themes and discuss how the song portrays women and/or men, what gender stereotypes the song supports or refutes, and whether the messaging is positive or negative in nature. Finally, the students discuss ways that the message in the song could influence the listener’s opinion about gender stereotypes and what effect that could have on gendered leadership issues.FindingsStudents use this assignment as an opportunity to apply the course material that relates to the importance of gender representation and the influence of media on gender issues in leadership.Originality/valueRecommendations are provided to inspire creative ideas for leadership educators who seek to prepare students to understand organizational challenges related to gender issues in leadership.
Farmers' Behavior in the Application of Coffee Harvest and Post-Harvest Techniques According to Good Manufacturing Practice Quality Standards

Good manufacturing practice is a guideline for producing safe and quality food products. GMP is carried out from the plantation, starting from harvest and post-harvest techniques. Harvest and post-harvest handling is influenced by the farmer's behavior in carrying out his business. This research aims to determine the behavior of farmers in Cilimus District in implementing coffee harvesting and post-pane techniques in accordance with GMP standards. The research was conducted in Cilimus District, Kuningan Regency with the consideration that this area has superior coffee production. The research is planned to be carried out in January 2024. The research design used is descriptive quantitative with survey research techniques. The sample size in this study was 65 respondents. The data analysis technique was carried out descriptively with a Likert score weighting of 1-5. The research results show that farmer behavior in harvesting techniques consists of knowledge with a percentage of 56.31%, attitude with a percentage of 52.00% and farmer skills with a percentage of 49.78%. Each aspect indicates quite good condition. Farmers' behavior in post-harvest handling consists of knowledge of 64.09% in the good category, but attitude of 55.87% and skills of 50.86% in the quite good category
Factors affecting the rumen fluid foaming performance in goat fed high concentrate diet

Feeding high concentrate diets is highly prone to rumen bloat in ruminants, which is very common in production. This study explored the factors responsible for the occurrence of foamy rumen bloat. The experiment was conducted using goats as test animals, fed high concentrate diets and scored for rumen distension into high, medium and low bloat score groups. Rumen fluid was collected from 6 goats in each group separately. The foaming production, foam persistence, pH value, viscosity and the content of protein, total saccharide and mineral elements in rumen original fluid (ROL) were measured, and the protein and total saccharide content in rumen foam liquid (RFL) and rumen residual liquid (RRL) were determined. The results showed that the protein content in rumen original fluid and rumen foam liquid was significantly higher than that in rumen residual liquid (p < 0.05), and the protein content in rumen foam liquid was 10.81% higher than that in rumen original fluid. The higher the rumen bloat score, the higher the foam production, foam persistence, viscosity, protein, Ni, Mg, Ca, and K concentrations of the rumen original fluid, and the lower the PH and Na concentrations of the rumen original fluid; correlation analysis showed that the viscosity of the rumen original fluid was significantly and positively correlated with the foam production and foam persistence (p < 0.05). Foaming production and foam persistence of rumen original fluid were significantly and positively correlated with the contents of protein, total saccharide, K, Ca, Mg and Ni (p < 0.05). and negatively correlated with the content of Na (p < 0.05); after controlling other components those were significantly related to the foaming performance of rumen original fluid only protein still was significantly positively correlated with the foam persistence of rumen original fluid (P<0.05). In summary, the contents of protein, total saccharide and mineral elements in the rumen fluid had a significant effect on the foaming performance of rumen in ruminants, with protein playing a decisive role and the other components playing a supporting role. Reducing the content of protein in the diet in production is beneficial to reduce the occurrence of rumen bloat in ruminants.
Quantitative Evaluation by Digital Pathology of Immunohistochemical Expression of CK7, CK19, and EpCAM in Advanced Stages of NASH

(1) Background: Nonalcoholic Steatohepatitis/Nonalcoholic Fatty Liver Disease (NASH/NAFLD) is the most recurrent chronic liver disease. NASH could present with a cholestatic (C) or hepatic (H) pattern of damage. Recently, we observed that increased Epithelial Cell Adhesion Molecule (EpCAM) expression was the main immunohistochemical feature to distinguish C from H pattern in NASH. (2) Methods: In the present study, we used digital pathology to compare the quantitative results of digital image analysis by QuPath software (Q-results), with the semi-quantitative results of observer assessment (S-results) for cytokeratin 7 and 19, (CK7, CK19) as well as EpCAM expression. Patients were classified into H or C group on the basis of the ratio between alanine transaminase (ALT) and alkaline phosphatase (ALP) values, using the “R-ratio formula”. (3) Results: Q- and S-results showed a significant correlation for all markers (p < 0.05). Q-EpCAM expression was significantly higher in the C group than in the H group (p < 0.05). Importantly ALP, an indicator of hepatobiliary disorder, was the only biochemical parameter significantly correlated with Q-EpCAM. Instead, Q-CK7, but not Q-CK19, correlated only with γGlutamyl-Transferase (γGT). Of note, Stage 4 fibrosis correlated with Q-EpCAM, Q-CK19, and ALP but not with γGT or ALT. Conclusions: Image analysis confirms the relation between cholestatic-like pattern, associated with a worse prognosis, with increased ALP values, EpCAM positive biliary metaplasia, and advanced fibrosis. These preliminary data could be useful for the implementation of AI algorithms for the assessment of cholestatic NASH.
CLUSTERED ORIGIN OF LEFT CORONARY ARTERY FROM THE LEFT SINUS OF VALSALVA: UNCHARACTERISTIC DEVELOPMENTAL EVENT IN THE TEMPORALLY REGULATED PROCESS

Address for Correspondence: Nagaswami Vasan, D.V.M., M.V. Sc. , Ph.D, Professor of Anatomy, Department of Biomedical Sciences, Cooper Medical School of Rowan University, 401 South Broadway, Camden, New Jersey 08103, USA. Phone: +1 (856) 361-2890 E-Mail: vasan@rowan.edu Background: The coronary artery development is a sequential and progressively regulated process. However, there are number of reports available on the disturbance to this temporal process resulting in variations of the artery. In these instances, the function of the coronary arteries was normal in providing blood supply to the heart. The normal and abnormal coronary artery development has been studied using variety of approaches and the knowledge continues to evolve. Materials and Methods: The cadaveric specimen was obtained from the “willed body program” for the purpose of student dissection. We report here an anomaly found in a 94-year old Caucasian male died of cerebral artery infarction. Results and Observations: We observed that the left coronary artery arose from the coronary ostium in a cluster of multiple branches. The right coronary artery arose normally from the right coronary ostium. Further dissection showed the co-dominant nature of the left and right coronary arteries in providing blood supply to the posterior aspect of the heart and the interventricular septum. Conclusions: Knowledge of coronary artery and its disposition is important in clinical practice especially in coronary artery stent placement, coronary artery bypass surgery and coronary sinus catheterization.