Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Recovery of Irritant Hand Dermatitis in Healthcare Workers With Workplace Interventions During the COVID-19 Pandemic

Introduction: Occupational hand dermatitis is common among healthcare workers, with increased incidence during the COVID-19 pandemic. Irritant contact dermatitis accounts for the majority of occupational hand dermatitis and is largely due to frequent contact with hand hygiene products. Long-term prognosis of occupational contact dermatitis is often very poor. This study aims to identify and implement suitable workplace interventions to aid in the recovery of occupational irritant hand dermatitis among healthcare workers during the COVID-19 pandemic. Methods A quality improvement (QI) project was performed in a tertiary hospital using the Plan-Do-Study-Act model. Healthcare workers seen at the Occupational Dermatology Clinic from March 2020 to May 2021 for the first time for likely occupational irritant dermatitis were targeted for the project. Four workplace interventions were implemented: (a) substitute current alcohol-based hand rub (ABHR) with a different, gentler ABHR, (b) alternate ABHR with gentle hand wash products, (c) temporary job modification with less clinical work (d) switch latex gloves to nitrile gloves. The improvement was assessed after 2 months of workplace intervention using a visual analogue scale, based on changes seen on photographs taken at the baseline and monthly review. The target improvement was set at 70% after 2 months of workplace interventions. Results A total of 21 participants were included in the QI project. All participants were found to have significant improvement in their hand condition. The estimated mean reduction of signs and symptoms was 80% in comparison to their baseline hand condition before intervention. Conclusion Workplace interventions such as substituting irritant hand hygiene products with gentler alternatives and temporary reduction in clinical duties may be useful in improving the recovery rate of irritant hand dermatitis among healthcare workers. Areas with high hand hygiene workload or high incidences of hand dermatitis may opt to implement systemic workplace changes.
LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting

Traffic flow prediction is an important part of the intelligent transportation system. Accurate traffic flow prediction is of great significance for strengthening urban management and facilitating people’s travel. In this paper, we propose a model named LST-GCN to improve the accuracy of current traffic flow predictions. We simulate the spatiotemporal correlations present in traffic flow prediction by optimizing GCN (graph convolutional network) parameters using an LSTM (long short-term memory) network. Specifically, we capture spatial correlations by learning topology through GCN networks and temporal correlations by embedding LSTM networks into the training process of GCN networks. This method improves the traditional method of combining the recurrent neural network and graph neural network in the original spatiotemporal traffic flow prediction, so it can better capture the spatiotemporal features existing in the traffic flow. Extensive experiments conducted on the PEMS dataset illustrate the effectiveness and outperformance of our method compared with other state-of-the-art methods.
From Moral Distress to Mutual Recognition: Diaries Kept by French Care Professionals During the Covid Crisis

ABSTRACT This article focuses on the experiences of social care workers during the first wave of the Covid pandemic. The method involved analyzing diaries kept by 65 professionals in 8 French regions during the first lockdown in France in the spring of 2020. As a form of non-binding, narrative expression, keeping diaries breaks with traditional models of reporting common in social care structures and allowed professionals to reflect on the experience as it was lived. In the diaries, professionals explored how the crisis disrupted and challenged their personal and professional values but also allowed innovation in care practices for vulnerable populations that will continue beyond the pandemic period. Five care values were put to forefront by professionals: (1) spontaneity/flexibility; (2) respect for persons; (3) team reflexivity; (4) innovation; (5) solidarity. Mobilizing philosopher Paul Ricoeur’s ideas on recognition, Payet and Laforgue’s analysis of weak actors, as well as research on moral distress, we discuss how these values were tested during the crisis and what effect they had on professionals’ and users’ vulnerabilities. We will also elaborate the interest of keeping account of social care work through narrative methods.
Perancangan Arsitektur Sistem Smart Campus Berbasis Cloud di Kampus XYZ

Kampus XYZ sebagai salah satu institusi pendidikan tinggi swasta telah menggunakan teknologi informasi untuk mendukung penyampaian pelayanan akademiknya. Infrastruktur TI yang menjadi landasan sistem rupanya telah digunakan sejak lama dan banyak pembaruan yang kurang efektif ketika diintegrasikan, sehingga meningkatkan risiko ketidakstabilan sistem. Pengoperasian sistem pada umumnya pun masih membutuhkan intervensi secara manual. Namun di sisi lain, kampus XYZ memiliki harapan untuk mewujudkan konsep smart campus dengan tetap mengoptimalkan biaya operasional sistem. Salah satu cara untuk mencapai harapan tersebut adalah dengan mengadopsi cloud computing. Artikel ini memaparkan perencanaan dan perancangan arsitektur sistem baru bagi kampus XYZ dengan landasan cloud. Arsitektur sistem dioptimalkan dari sisi teknis, biaya, hingga kebutuhan-kebutuhan kampus XYZ untuk mencapai konsep smart campus. Orientasi perancangan arsitektur di cloud yang digunakan dalam penelitian ini adalah Google Cloud Platform (GCP) sebagai salah satu penyedia jasa layanan cloud yang memiliki jangkauan secara global dan beragam akan layanan-layanan yang disediakan bagi organisasi.
Determination of Phenolic Compounds by Capillary Zone Electrophoresis–Mass Spectrometry

A CZE-MS method was developed for the determination of several phenolic compounds (phenolic acids, flavonoids). Since the analysis of these components necessitates the application of basic conditions for CZE separation and negative ionization mode for MS detection, the simplest choice was to use 0.5 M NH4OH and IPA:water (1:1 v/v%) as the background electrolyte and sheath liquid, respectively. The LOD values ranged between 0.004–1.9 mg/L showing that there are relatively large differences in the ionization (and chemical) features of these compounds. The precision data were better than 0.75 RSD% for migration times and were between 5–8 RSD% for peak areas. In order to test the applicability of the developed method, a honey sample was analyzed.
Physical Activities and Associated Factors Among HIV/AIDS Patients: A Questionnaire Survey

Purpose Regular physical activity is essential for maintaining health and improving people’s overall quality of life living with HIV; improving metabolic side effects associated with taking highly active antiretroviral therapy (HAART). This study investigated physical activity levels and associated factors among HIV/AIDS patients. Patients and Methods A single-center, cross-sectional study was conducted from July to September 2021. A convenience sample of 377 HIV/AIDS patients was recruited from a medical center in Zhuhai, China. Data were collected through self-report questionnaires and patients’ medical records. Results The average physical activity of HIV/AIDS patients was 1007.15±868.63 met-min/w; 53.8% of patients expressed medium-level activity, and 46.2% in low-level activity. Log-link gamma generalized linear model results showed that gender, T-CD4+ at the latest visit, self-efficacy, and perceived barriers were significant predictors of assessing physical activity levels. Conclusion Nearly half of HIV/AIDS patients have low levels of physical activity. In particular, women and patients with lower CD4 cells, lower self-efficacy, and more perceived barriers had lower levels of physical activity. More knowledge is needed on the causes of physical inactivity among people with HIV, and physical activity programs need to be developed for people living with HIV in developing countries.
Mitogenomics of Chinch Bugs from China and Implications for Its Coevolutionary Relationship with Grasses

Simple Summary Blissidae is a group with high species richness in Lygaeoidea, and most of them live in the leaf sheaths of Poaceae plants. Here, 10 new mitogenomes from 10 species of eight genera from Blissidae were sequenced and analyzed. Gene rearrangement is only found in Pirkimeru japonicus (PiGXBS1), which is formed as the duplication of tRNA-H. Coupled with published data, phylogenetic analyses and divergence time were performed in Blissidae. The divergence within Blissidae began about 56 million years ago (Ma), in which the genus level divergence was concentrated at 30–51 Ma, slightly later than the diversification of Poaceae. The consistency of the divergence time between Blissidae and Poaceae might hint at the coevolutionary relationship between them. Our study provides a valuable resource for understanding insect–host relationships. Abstract Blissidae (the Chinch bug) is a group with high species richness in Lygaeoidea, but there are only a few descriptions of mitochondrial genomes available. We obtained mitogenomes from 10 species of eight genera from Blissidae through second-generation sequencing technology. The length of the mitochondrial genome (excluding the control region) is between 14643 and 14385 bp; the content of AT is between 74.1% and 77.9%. The sequence of the evolution rate of protein coding genes was as follows: ND5 > ATP8 > ND6 > ND2 > ND4 > ND4L > ND1 > ATP6 > ND3 > COIII > COII > CYTB > COI. The mitogenomic structure of Blissidae is highly conservative. Gene rearrangement is only found in Pirkimeru japonicus (PiGXBS1), which is formed as the duplication of tRNA-H. The intergenic spacer between ND4 and tRNA-H, which form an obvious stem-and-loop structure, was found in all samples in this study. The phylogenetic trees generated by BI and ML indicated that Blissidae can be divided into three major clades: Clade A (only included Macropes); Clade B ((Pirkimerus + Bochrus) + Iphicrates); and Clade C ((Ischnodemus + Capodemus) + (Cavelerius + Dimorphopterus)). The divergence within the Blissidae began at about 56 Ma. At the genus level, the divergence was concentrated at 30–51 Ma, slightly later than the diversification of Poaceae. The consistency of divergence time between Blissidae and Poaceae might hint at the coevolutionary relationship between them, but further molecular and biological evidence is still needed to prove it.
Efectos de los ejercicios pliométricos en pacientes postoperatorio de rotura del tendón calcáneo

De la ruptura del tendón Aquileo se tiene conocimiento desde la antigua Grecia, la cual ha ido en aumento en los últimos años, por ende, se busca implementar mejores herramientas para el tratamiento de la misma, siendo una de ellas los ejercicios pliométricos. Estudios tipo meta-análisis, ensayos controlados aleatorizados y experimentales observaron que la aplicación de ejercicios pliométricos en la mayoría de los participantes mejoraba la calidad del tendón, aumentando elasticidad y disminuyendo su rigidez (p<0.01) en 14 estudios y en los 3 estudios restantes, no mejoraba la estructura del tendón, sin embargo, mejoraba la sintomatología y funcionalidad del mismo en estudios tardíos (p<0.01). La aplicación de ejercicios pliométricos es una herramienta adicional para tratar a los sujetos sometidos a una operación de ruptura de tendón Aquileo, el cual debe ser aplicado en estadios finales en rehabilitación, mejorando la rigidez del tejido, aumentando la funcionalidad y disminuyendo el dolor crónico.
Forecasting stock market price using LSTM-RNN

Predicting the securities exchange is the most challenging task. There are a lot of variables involved in the scenario- physical elements and psychological factors, rational and irrational behavior, etc. These factors combine to make the price of shares not only unpredictable but difficult to estimate with any accuracy. Here, we are trying to predict the price of stocks using an RNN architecture called Long-Short Term Memory(LSTM). Here we are predicting the closing price of the NSE on the basis of the past prices available. The model was trained with the company's stock price, and then the model will be used to predict the future costs of stock. After the training and prediction, we compare the actual and predicted stock values. For comparison, we plot a graph, and the more the lines overlap, the more accuracy we get in predicting the stock price.
Earth’s Climate History from 4.5 Billion Years to One Minute

ABSTRACT Earth’s climate history is important for understanding the dynamics and feedbacks of the climate system. However, atmospheric sciences generally focus on shorter timescales, while geological sciences focus on longer timescales, but a unified picture is desired. This paper reviews the observations of Earth’s climate history from 4.5 billion years to one minute with emphasis on temperature, sea level, and atmospheric carbon dioxide. Earth’s climate history shows dominant climate modes such as the supercontinent cycles, interglacial cycles, millennial cycles, multi-decadal oscillation, interannual oscillation, seasonal cycle and diurnal cycle. The amplitudes of the dominant climate variability generally decrease from the billion-year timescales to interannual timescales, then significantly increase at subannual to diurnal timescales.
Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends

Measurement of environmental and energy economics presents an analytical foundation for environmental decision making and policy analysis. Applications of data envelopment analysis (DEA) models in the assessment of environmental and energy economics are increasing notably. The main objective of this review paper is to provide the comprehensive overview of the application of DEA models in the fields of environmental and energy economics. In this regard, a total 145 articles published in the high-quality international journals extracted from two important databases (Web of Science and Scopus) were selected for review. The 145 selected articles are reviewed and classified based on different criteria including author(s), application scheme, different DEA models, application fields, the name of journals and year of publication. This review article provided insights into the methodological and conceptualization study in the application of DEA models in the environmental and energy economics fields. This study should enable scholars and practitioners to understand the state of art of input and output indicators of DEA in the fields of environmental and energy economics.
Identification of injury type using somatosensory and motor evoked potentials in a rat spinal cord injury model

The spinal cord is at risk of injury during spinal surgery. If intraoperative spinal cord injury is identified early, irreversible impairment or loss of neurological function can be prevented. Different types of spinal cord injury result in damage to different spinal cord regions, which may cause different somatosensory and motor evoked potential signal responses. In this study, we examined electrophysiological and histopathological changes between contusion, distraction, and dislocation spinal cord injuries in a rat model. We found that contusion led to the most severe dorsal white matter injury and caused considerable attenuation of both somatosensory and motor evoked potentials. Dislocation resulted in loss of myelinated axons in the lateral region of the injured spinal cord along the rostrocaudal axis. The amplitude of attenuation in motor evoked potential responses caused by dislocation was greater than that caused by contusion. After distraction injury, extracellular spaces were slightly but not significantly enlarged; somatosensory evoked potential responses slightly decreased and motor evoked potential responses were lost. Correlation analysis showed that histological and electrophysiological findings were significantly correlated and related to injury type. Intraoperative monitoring of both somatosensory and motor evoked potentials has the potential to identify iatrogenic spinal cord injury type during surgery.
GeoRep—Resilient Storage for Wide Area Networks

Embedded systems typically have limited processing and storage capabilities, and may only intermittently be powered on. After sending data from its sensors upstream, the system must therefore be able to trust that the data, once acknowledged, is not lost. The purpose of this work is to propose a novel solution for replicating data between the upstream nodes in such systems, with a minimal effect on the software architecture. On the assumption that there is no relative order between replicated data tuples, we designed a new replication protocol based on partial replication. Our protocol uses only 2 communication steps per data tuple, instead of the 3 to 12 used by other solutions. We verified its failover mechanism in a proof-of-concept implementation of the protocol using simulated network failures, and evaluated the implementation on throughput and latency in several controlled experiments using up to 7 nodes in up to 5 geographically separated areas, with up to 1000 data producers per node. The recorded system throughput increased linearly relative to both the number of nodes and the number of data producers. For comparison, Paxos showed a performance similar to our protocol when using 3 nodes, but got slower as more nodes were added. The lack of a relative order, in combination with partial replication, enables our system to continue working during network partitions, not only in the part containing the majority of the nodes, but also in any sufficiently large minority partitions.
The Different Classification of Hospitals Impact on Medical Outcomes of Patients in China

Background In China, different classification of hospitals (COH) provide treatment for patients with different degrees of illness. COH play an important role in Chinese medical outcomes, but there is a lack of quantitative description of how much impact the results have. The objective of this study is to examine the correlation between COH on medical outcomes with the hope of providing insights into appropriate care and resource allocation. Methods From the perspective of the COH framework, using the Urban Employee Basic Medical Insurance (UEBMI) data of Chengdu City from 2011 to 2015, with a sample size of 512,658 hospitalized patients, this study used the nested multinomial logit model (NMNL) to estimate the impact of COH on the medical outcomes. Results The patients were mainly elderly, with an average age of 66.28 years old. The average length of stay was 9.61 days. The female and male gender were split evenly. A high level of hospitals is positively and significantly associated with the death and transfer rates (p < 0.001), which may be related to more severe illness among patients in high COH. Conclusion The COH made a difference in the medical outcomes significantly. COH should be reasonably selected according to disease types to achieve the optimal medical outcome. So, China should promote the construction of a tiered delivery system.
Immunogenicity of Endolysin PlyC

Endolysins are bacteriolytic enzymes derived from bacteriophages. They represent an alternative to antibiotics, since they are not susceptible to conventional antimicrobial resistance mechanisms. Since non-human proteins are efficient inducers of specific immune responses, including the IgG response or the development of an allergic response mediated by IgE, we evaluated the general immunogenicity of the highly active antibacterial enzyme, PlyC, in a human population and in a mouse model. The study includes the identification of molecular epitopes of PlyC. The overall assessment of potential hypersensitivity to this protein and PlyC-specific IgE testing was also conducted in mice. PlyC induced efficient IgG production in mice, and the molecular analysis revealed that PlyC-specific IgG interacted with four immunogenic regions identified within the PlyCA subunit. In humans, approximately 10% of the population demonstrated IgG reactivity to the PlyCB subunit only, which is attributed to cross-reactions since this was a naïve serum. Of note, in spite of being immunogenic, PlyC induced a normal immune response, without hypersensitivity, since both the animals challenged with PlyC and in the human population PlyC-specific IgE was not detected.
Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

In this article, we investigate the performances of conventional cooperative sensing (CCS)‐ and superior selective reporting (SSR)‐based cooperative sensing schemes in a multiple‐input, multiple‐output (MIMO)‐aided non‐orthogonal multiple access (NOMA)‐driven cognitive radio (CR) networks. First, we derive expressions for the probabilities of false‐alarm and signal detection for an optimal detector in the considered MIMO‐NOMA CR setup. Next, we study a constrained optimization problem that maximizes the sum rates of CCS and SSR schemes, with a constraint on the power allocation at SUs. This problem is shown to be a constrained convex optimization problem. Later, we analytically characterize and compare the sum rate performances of CCS and SSR schemes in MIMO‐NOMA CR and MIMO‐based orthogonal multiple access (MIMO‐OMA) CR networks. Extensive computer simulation results are presented which corroborate our analysis, which also quantifies the gain in performance of the proposed MIMO‐NOMA CR network employing SSR scheme when compared to conventional MIMO‐OMA CR systems. Furthermore, we present an experimental study based on RTL‐SDR setup, which supports our theory and also paves way towards a practical implementation of the proposed framework.
Properties of Silica Based Optical Fibers Doped With an Ultra-High Ytterbium Concentration

Silica-based optical fibers with an ultra-high Yb concentration were systematically studied. Three the most commonly used in industry glass matrixes for active fiber core were investigated: aluminosilicate, phosphosilicate and aluminophosphosilicate. For all the glass hosts optical fibers doped with a record high concentration of Yb in a glass core were fabricated utilizing an all-gas-phase deposition based on MCVD technology. The factors limiting increase of Yb content in glasses and fibers were revealed. For the first time it was shown that highly Yb-doped fibers could nearly completely lose their active properties and the most probable reason for that is concentration quenching of luminescence.