Miracle-dz/UniFAR-FTUs huggingface dataset:
A Convolutional Neural Network Based Robust Automated Real-Time Image Detection System for Personal Protective Equipment

Statistically, casualties in engineering workplaces often result from one of the following accidents: when people get stuck in the rotating machines, electric shocks or collision with heavy equipment. Most of these accidents can be prevented if the workers make proper use of personal protection equipment (PPE). This paper presents the design and implementation of a functional image detection system that takes a picture of an employee, analyses it, and determines the employee he is appropriately attired to enter a potentially hazardous workplace. This system can help to reduce the liability of company owners, by extension their costs, and can provide level of accident prevention. In this study, a convolutional neural network (CNN) was used to develop three sets of models, namely hard hat model, boot model, and vest model. These were used to detect the appearance of workers and determine if the PPE being worn was in compliance with the stipulated requirements for entry to a particularly hazardous workplace. To determine the performance of the system, each model was validated with two classes of image datasets: normal colour RGB (Red, Green and Blue) and grayscale image. The overall average accuracy of the system, in real-time implementation, then was calculated and determined to be 83.33%.
Knowledge of International Standards for Tuberculosis Care among Private Non-NTP Providers in Lagos, Nigeria: A Cross-Sectional Study

Studies specifically evaluating tuberculosis knowledge among private non-NTP providers using the International Standards for Tuberculosis Care (ISTC) framework are scarce. We evaluated the knowledge of ISTC among private non-NTP providers and associated factors in urban Lagos, Nigeria. We performed a cross-sectional descriptive study using a self-administered questionnaire to assess different aspects of tuberculosis management among 152 non-NTP providers in Lagos, Nigeria. The association between the dependent variable (knowledge) and independent variables (age, sex, qualifications, training and years of experience) was determined using multivariate logistic regression. Overall, the median knowledge score was 12 (52%, SD 3.8) and achieved by 47% of the participants. The highest knowledge score was in TB/HIV standards (67%) and the lowest was in the treatment standards (44%). On multivariate analysis, being female (OR 0.3, CI: 0.1–0.6, p < 0.0001) and being a nurse (OR 0.2, CI: 0.1–0.4, p < 0.0001) reduced the odds of having good TB knowledge score, while having previously managed ≥100 TB patients (OR 2.8, CI: 1.1–7.2, p = 0.028) increased the odds of having good TB knowledge. Gaps in the knowledge of ISTC among private non-NTP providers may result in substandard TB patient care. Specifically, gaps in knowledge of standard TB regimen combinations and Xpert MTB/RIF testing stood out. The present study provides evidence for tailored mentorship and TB education among nurses and female private non-NTP providers.
Correlation of BDNF Gene Polymorphism and Psychological Nursing Intervention in Patients with Recurrent Spontaneous Abortion

Objective: To investigate the correlation between recurrent spontaneous abortion patients and brain derived neurotrophic factor BDNF gene polymorphism and the mechanism of BDNF and recurrent spontaneous abortion under stress state in order to provide theoretical basis for nursing psychological intervention of patients with recurrent abortion. Methods: Medical coping Questionnaire (MCMO) and post-traumatic stress Diagnostic Scale (POST-traumatic stress Scale) were adopted Dissorder (PTSD) (PCL-c) scale was used to diagnose the psychological stress of recurrent spontaneous abortion in our hospital, and the BDNF gene polymorphism and the correlation factors of METHYLation in BDNF promoter region were studied in 30 cases (control group) and normal control group. Results: The MCMQ score of the case group and the control group was significantly lower than that of the conventional group (P < 0.05), and the scores of “avoidance and submission” were higher than that of the conventional group, with statistical significance (P < 0.05). The distribution of BDNF gene g-712A genotype was significantly different between the case group and the control group. Conclusion: There are significant differences in PTSD between the case group and the control group, which are related to methylation in the PROMOTER region of BDNF and SNP g-712A of BDNF gene. AG patients in the case group are more sus-ceptible to anxiety and depression, and GG PTSD is more severe in the case group. BDNF promoter methylation and G-712A were independent risk factors for PTSD in the case group.
Variability of the Eurasian pattern and its interpretation by wave activity flux

In this study, recent variability of the Eurasian (EU) pattern during 1978-94 and its association with wave activity flux are investigated. The sign of the wintertime EU index abruptly reversed from positive to negative in winter 1988/89, concurrent with the intensified polar vortex. To investigate the mechanism of the EU pattern in detail, we computed the wave activity flux. When the EU index is positive, the Rossby wave propagation appears from North Europe to East Asia directly. When the EU index is negative the wave activity flux is directed more southeastward to the Middle East. An empirical orthogonal function (EOF) analysis is performed for the wave activity flux to clarify the variations of the Rossby wave propagation over Eurasia. Two dominant modes associated with the EU pattern were detected. The first mode is closely linked with the height anomaly over arctic regions and contributes to a shift in the 1988/89 winter atmosphere. The second mode is related to the other principal teleconnection patterns: the North Atlantic Oscillation (NAO), and Pacific/North American (PNA) patterns. The appearance of the modes are interpreted in terms of wave forcing to the zonal wind, and the meridional wave propagation of Rossby waves. The Rossby wave with wavenumber three, plays an important role in the zonal wind changes of the first mode. The meridional profile of the zonal wind is consistent with the structure of wave activity flux. The positive feedback between the wave activity and the zonal wind is responsible for the dominance of the first EU mode.
ACCURATE GRAVITIES OF F, G, AND K STARS FROM HIGH RESOLUTION SPECTRA WITHOUT EXTERNAL CONSTRAINTS

We demonstrate a new procedure to derive accurate and precise surface gravities from high resolution spectra without the use of external constraints. Our analysis utilizes Spectroscopy Made Easy with robust spectral line constraints and uses an iterative process to mitigate degeneracies in the fitting process. We adopt an updated radiative transfer code, a new treatment for neutral perturber broadening, a line list with multiple gravity constraints and separate fitting for global stellar properties and abundance determinations. To investigate the sources of temperature dependent trends in determining log g ? > noted in previous studies, we obtained Keck HIRES spectra of 42 Kepler asteroseismic stars. In comparison to asteroseismically determined log g ? > our spectroscopic analysis has a constant offset of 0.01 dex with a rms scatter of 0.05 dex. We also analyzed 30 spectra which had published surface gravities determined using the a / R * ? > technique from planetary transits and found a constant offset of 0.06 dex and rms scatter of 0.07 dex. The two samples covered effective temperatures between 5000 and 6700 K with log g ? > between 3.7 and 4.6.
Associations of the Mediterranean-Style Dietary Pattern Score with Coronary Artery Calcification and Pericardial Adiposity in a Sample of US Adults

Several studies have identified improvements in the risks of cardiovascular disease in adults following a Mediterranean dietary pattern. However, data are scarce on its association with coronary artery calcification (CAC) and pericardial adiposity (PAT) in US adults with and without diabetes. To address this gap, we conducted a case-control study using baseline data from the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study [n = 1255; Type 1 Diabetes (T1D): n = 563; non-Diabetes Mellitus (non-DM): n = 692]. Participants completed a validated food frequency questionnaire, fasting (12 h overnight fast) biochemical analyses, and a physical examination including anthropometric measures. CAC and PAT were measured using electron beam-computed tomography. Logistic regression models were used to examine the associations of the Mediterranean-Style Dietary Pattern Score (MSDPS) with CAC (presence or absence), and linear regression models were applied to PAT analyses. In all of the adjusted models, no significant associations with CAC were found. For PAT, an increasing MSDPS was consistently associated with its lower volume in models adjusted for age, sex, diabetes status, total calories, and body mass index (all p < 0.05). The association between MSDPS and PAT was attenuated after adjusting for serum lipids and physical activity. In conclusion, the baseline data from the CACTI study show that a greater adherence to MSDPS is associated with a lower PAT volume and provide evidence that the Mediterranean dietary pattern is associated with lower cardiovascular risk markers.
Total synthesis of Sumalactone A

Abstract A simple and efficient stereoselective synthesis of 10-membered Benzannulated macrolactone, Sumalactone A has been accomplished from inexpensive and commercially available starting materials. This convergent synthesis utilizes Vilsmeier-Haack formylation, Jacobsen hydrolytic kinetic resolution, esterification under Yamaguchi conditions and ring-closing metathesis as key steps. Graphical Abstract
The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates

The aim of this paper is to uncover the associations between air pollution, media consumption, and the prevalence of obesity. Based on data availability, this study draws on an unbalanced panel of 28 countries and develops and extracts relationships through robust System-General Method of Moments (Sys-GMM) estimators that account for the dynamic nature and high persistence of the variables of interest. In light of previous findings, economic development, trade openness, and government consumption are included as controls in the dynamic panel models. The estimation results consistently indicate that pollution is a strong determinant of obesity, a link that remains robust through the alternative proxies for pollution (i.e., total greenhouse gas emissions (GHG) and carbon (CO2) intensity of energy generation). However, CO2 intensity shows the strongest association with obesity. Furthermore, the findings indicate that media consumption is an independent and significant driver of obesity, whilst its inclusion among regressors further magnifies the impact and significance of the pollution factor. Moreover, the combined effect of media consumption and pollution significantly contributes to spurring obesity in all model specifications. Thus, a vicious cycle emerges between air pollution, media consumption, and obesity, with synergistic detrimental health effects. The current findings highlight the importance of continuing and consistent efforts to mitigate pollution and reach related low-carbon policy targets. Moreover, for the sustainable reduction and prevention of obesity, these efforts should be complemented by policy interventions and public campaigns aimed at “healthy” media consumption, such as encouraging regular physical exercise and healthy nutrition.
Adult Respiratory Syncytial Virus Infection and Hypoxic Cardiac Arrest—Coexistent or Causal? A Hypothesis-Generating Case Report

Respiratory syncytial virus (RSV) is a well-known pathogen in paediatric patients. However, it also causes substantial morbidity and mortality in adults, posing a major healthcare problem. We present a patient with chronic pulmonary conditions and an acute RSV infection, thus leading to cardiac arrest (CA). We speculate that RSV as the causative agent for CA should be considered in post-resuscitation care. From a wider public health perspective, immuno-naivety for RSV caused by the coronavirus disease 2019 pandemic may induce a severe rise in cases, morbidity, and mortality in the future.
DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives

With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed the home energy management systems (HEMSs) to deal with the computational complexities and the uncertainties at the end-user side. This article proposes a multi-objective DRL-HEMS: a data-driven solution, which is a trained DRL agent in a HEMS to optimize the energy consumption of a household with different appliances, an energy storage system, a photovoltaic system, and an electric vehicle. The proposed solution reduces the electricity cost considering the resident’s comfort level and the loading level of the distribution transformer. The distribution transformer load is optimized by optimizing its loss-of-life. The performance of DRL-HEMS is evaluated using real-world data, and results show that it can optimize multiple appliances operation, reduce electricity bill cost, dissatisfaction cost, and the transformer loading condition.
Integrated railway remote condition monitoring

The profound value of wayside monitoring in helping safeguard the RAMS of railway operations is undeniable. However, despite significant investments by the rail industry, the efficiency and reliability of wayside monitoring have not reached the desired level. Structural deterioration of the rail infrastructure and rolling stock faults still remain a significant problem which needs to be addressed as traffic density, train speeds and axle loads increase in rail networks around the world. The main objectives of this study were to develop and evaluate an advanced wayside monitoring system based on acoustic emission and vibration analysis that can detect various types of axle bearing defects in rolling stock and structural deterioration in cast manganese crossings. The potential architecture for different levels of system correlation has been proposed which can be further integrated with customised monitoring system. A novel signal processing technique based on spectral coherence has been developed. This particular method is based on the identification of suitable templates containing features of interest. It also features in identifying the severity of the defect. In addition, a suitable approach for data fusion from various sensors has been investigated. Successful tests have been carried out under simulated conditions and in the UK network.
Analysis of Common SNPs across Continents Reveals Major Genomic Differences between Human Populations

Common alleles tend to be more ancient than rare alleles. These common SNPs appeared thousands of years ago and reflect intricate human evolution including various adaptations, admixtures, and migration events. Eighty-four thousand abundant region-specific alleles (ARSAs) that are common in one continent but absent in the rest of the world have been characterized by processing 3100 genomes from 230 populations. Also computed were 17,446 polymorphic sites with regional absence of common alleles (RACAs), which are widespread globally but absent in one region. A majority of these region-specific SNPs were found in Africa. America has the second greatest number of ARSAs (3348) and is even ahead of Europe (1911). Surprisingly, East Asia has the highest number of RACAs (10,524) and the lowest number of ARSAs (362). ARSAs and RACAs have distinct compositions of ancestral versus derived alleles in different geographical regions, reflecting their unique evolution. Genes associated with ARSA and RACA SNPs were identified and their functions were analyzed. The core 100 genes shared by multiple populations and associated with region-specific natural selection were examined. The largest part of them (42%) are related to the nervous system. ARSA and RACA SNPs are important for both association and human evolution studies.
Effect of Surgical Findings on Prediction of Postoperative Ovarian Reserve in Patients with Ovarian Endometrioma

Objective Revised American Society for Reproductive Medicine (rASRM) classification for endometriosis is considered to have limited ability to predict fertility after surgery. This study evaluated the effect of surgical findings described by the rASRM classification on postoperative change in serum Anti-Müllerian hormone (AMH) in endometriosis. Study Design We retrospectively analyzed 112 patients with endometrioma who underwent laparoscopic ovarian cystectomy. The ovarian score was defined as the sum of the endometrioma score from the size and depth of endometrioma and the adhesion score from the extent and types of ovarian adhesion described in the rASRM classification. The ovarian score was correlated with the AMH levels before surgery (AMH0), 3 (AMH3), and 6 months (AMH6) after surgery. To design a model for predicting AMH6, using ovarian score and AMH0, we calculated the unstandardized predictive value of AMH6/AMH0 (UPV) by linear regression analysis. The predicted AMH6 (pAMH6) could be calculated by multiplying the UPV by AMH0. When AMH6 is less than 1.0 ng/mL, it was defined as a poor ovarian reserve group (PORG), and the accuracy of the predictive model was validated. Results The level of AMH declined more in rASRM stage IV compared to stage III after surgery. The ovarian score had a significant variable in the linear regression analysis with the ratio of AMH6/AMH0 (p = 0.001). The UPV was correlated with ovarian score negatively. The pAMH6 correlated with AMH6 positively and with age negatively. The pAMH6 showed sensitivity 0.564, specificity 0.909, positive predictive rate 0.786, and negative predictive rate 0.800 in the prediction of PORG (p < 0.001). Conclusion The pAMH6 predicted the PORG at 6 months after surgery. Based on the results of our study, the surgical findings, including the size and depth of the endometrioma and extent and types of adhesion could be useful indicators for ovarian reserve after surgery.
Monolithic InP master oscillator power amplifier for free space optical transmissions at 1.5 μm

Interest in free space optical communications has increased in the last decades as it has many advantages over RF communications, especially for space-borne applications. However, high power, good spectral quality and beam quality are needed for efficient data transmission over long distances. To meet the need of having lightweight and compact laser sources with such qualities for FSO, semiconductor based MOPA systems (Master Oscillator Power Amplifier) have been developed. In this paper we present the experimental results and compare them to simulation results for a threesection monolithically integrated semiconductor Master Oscillator Power Amplifier emitting at 1.5 μm wavelengths, designed for LIDAR applications that can also be used for free space telecommunications. The MOPA includes a distributed feedback laser section for single mode light emission, an intermediate section for data modulation and a flared semiconductor optical amplifier section for power amplification, which allows us to generate a high power beam with good spectral characteristics. The impact of bias conditions of the different device sections and device design on performances have been studied. Single mode operation at 4 different wavelengths near 1550 nm is achieved for optical output power up to 400 mW in continuous-wave (CW) regime for a SOA current of 3 A and 800 mW for SOA pulsed operation for currents up to 5 A. Near-field profile is also analyzed for different modulator current. Small-signal dynamic response is measured and analyzed.
Clustering at the nuclear surface and symmetry energy

With in the energy density functional formalism a phenomenological theory of nuclei is developed which incorporates clustering at the nuclear surface in a general form. This explains the large values of symmetry energy extracted recently at low values of nuclear matter density. It is shown that the nuclear matter binding energy per nucleon (B/A), in the neighbourhood of zero density, must approach its value at the saturation density. The parameters of the theory are mainly constrained from the binding energies and root mean square radii of 376 spherical nuclei as well as the large values of the recently extracted symmetry energy at low densities. Importance of quartic term in symmetry energy is demonstrated. It is shown that it originates due to clustering as well as due to contribution of three-nucleon interaction in the state-of-the-art equation of state of neutron matter at and below the saturation densities. It is found that clustering significantly reduces the neutron skin thickness in nuclei.
Fasting while on antipsychotics: an exploration of the decision-making process of Muslim patients during Ramadan

ABSTRACT Fasting during the holy month of Ramadan is one of the five pillars of Islam. Adherents to the Muslim faith are expected to abstain from drinking or eating during daylight hours. Exclusions to fasting apply, including for medical reasons. There is no consensus on the specific implications for psychiatric conditions. This qualitative study explores the decision-making process of Muslim patients on antipsychotic treatment with regard to fasting during Ramadan. The sample consisted of eleven outpatients actively treated at three psychiatric clinics in Lebanon. They were asked about the different factors that influence their decision to fast or not. Most participants prioritized their personal interpretation of the religious dogma. The opinion of the psychiatrist was important but not always readily available. The wider community, including religious figures, had the least influence. The findings highlight an important role for psychiatrists in proactively supporting patients in their decision on fasting in Ramadan.
Unified Control Strategy for Microgrid Solid-State Transformers

Solid-state transformers (SST) are particularly useful in distributed generation systems (DG) and microgrids in that they provide several functions besides voltage and current conversion and electrical isolation, such as better controllability and power factor correction. When designing an SST, many aspects need to be considered, such as the choice and design of the actual high-frequency transformer, the SST topology, and its control method. In AC systems, the SST is connected to the grid through an inverter which needs to be controlled to ensure the proper operation of the DG in grid-tied mode and independently, i.e., in islanded mode and the switching between the two modes. This paper proposes a unified and an efficient control scheme for the inverter which works in both modes of operation and provides smooth transfer between them. It also controls the isolation stage and a battery energy storage system (BESS), which serves several functions, as will be discussed herein. The proposed scheme gives the opportunity for incorporating many other functions in it without having to add new systems or components. To demonstrate this point and for further contribution, this paper also proposes two such functions, i) a method to mitigate the current harmonics caused by the connection of the SST to the grid and ii) an efficient low-voltage ride-through (LVRT) scheme. Both come at no extra cost using the proposed unified control scheme. The SST model was constructed in Simulink, and the algorithm was written as a MATLAB function that outputs all the necessary control parameters. The proposal's validity is verified through the simulation of the presented case studies. The main advantages of the proposed control method are its versatility and efficiency.