bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organizational Factors Associated with Health Worker Protection: A Participatory Mixed-Method Cross-Sectional Analysis in Four Provinces of South Africa
Authors: Zungu Muzimkhulu , Voyi Kuku , Mlangeni Nosimilo , Moodley Saiendhra , Ramodike Jonathan , Claassen Nico , Wilcox Elizabeth , Thunzi Nkululeko , Yassi Annalee , Spiegel Jerry , Malotle Molebogeng 
Published: July 2021

Abstract
Background: Health workers, in short supply in many low-and-middle-income countries (LMICs), are at increased risk of SARS-CoV-2 infection during their employment. This study aimed to assess how South Africa, an LMIC, prepared to protect its health workers from SARS-CoV-2. Methods: This was a participatory mixed method study conducted in four provinces of South Africa. We used a semi-structured questionnaire and a walkthrough survey to collect data on occupational safety and health (OSH) systems in 45 hospitals across four provinces to identify factors associated with health worker protection. Adapting the International Labour Organization (ILO) and World Health Organization (WHO) HealthWISE tool, we compiled compliance scores through walkthrough surveys. For the questionnaire, the participants were provincial OSH managers. For the walkthrough survey, they were frontline health workers, facility managers, and OSH and Infection Prevention and Control (IPC) professionals. We used logistic regression to analyze the relationship between readiness indicators and the actual implementation of protective measures. We also evaluated the association between OSH compliance and hospital infection rates.Results: We found that health facilities in all four provinces had SARS-CoV-2 plans for the general population but no comprehensive OHS plan for health workers. Province A and D Provincial Department of Health (PDoH) had an OSH SARS-CoV-2 provincial coordinating team and a dedicated budget for occupational health. Province A had an occupational health doctor and an occupational health nurse, while Province B had an occupational health nurse. Province A and D PDoHs had functional OSH committees, and Province D had conducted some health risk assessments specific to SARS-CoV-2. However, none of the assessed health facilities had an acceptable HealthWISE compliance score (≥ 75%) due to poor ventilation and inadequate administrative control measures. While the supply of personal protective equipment (PPE) was adequate, PPE was often not worn properly. Our study found that having an OSH SARS-CoV-2 policy was significantly associated with higher PPE and ventilation scores. In addition, our analysis showed that hospitals with higher compliance scores had significantly lower infection rates (IRR 0.98; 95% CI: 0.97, 0.98).Conclusions: Despite some initial preparedness, greater effort to protect health workers is still warranted. LMICs may need to pay more attention to OSH systems and consider using tools, such as ILO/WHO HealthWISE tool, to protect health workers' health.
Identifying Gene Mutations in Autosomal Recessive Cerebellar Ataxias and Extending the Mutational Spectrum in China
Authors: Chen Xueping , Yuan Xiaoqin , Wei Qian-Qian , Ou RuWei , Cao Bei , Hou Yanbing , Zhang Lingyu , Shang Huifang 
Published: July 2021

Abstract
Background: Autosomal recessive cerebellar ataxias (ARCA) are heterogeneous, complex, disabling neurodegenerative diseases characterized by autosomal recessive inheritance and cerebellar ataxia. Numerous mutations are described in several populations. However, in China, few data are available concerning ARCA. In this study, we aimed to identify ARCA-associated ataxia by targeted next-generation sequencing or whole-exome sequencing in a Chinese cohort, trying to determine clinical and genetic characteristics of Chinese patients with ARCA.Results: We identified 15 different mutations in 7 unrelated patients, of which 12 were novel, including seven missense mutations, three frameshift mutations, two splicing mutations, two nonsense mutations, and one inframe deletion mutation. The most frequent gene was ATM (3 patients), followed by SACS (2 patients), SYNE1 (2 patients), and SETX (1 patient). Specifically, 1 patient harbored mutations in both ATM and SYNE1. The phenotype was mainly cerebellar ataxia in all these cases. However, peripheral neuropathy, dystonia, oculomotor abnormalities, pyramidal tract dysfunction, cognitive impairment, and epilepsy were also revealed. Patients who harbored different gene mutations showed mutational heterogeneity. Conclusions: Our results indicate that ARCA-associated gene mutations are uncommon with additional clinical features in the Chinese population, and advanced sequencing is required to aid the diagnosis of undetermined cerebellar ataxia in Chinese patients.
SIS-BAM Algorithm for Angular Parameter Estimation of 2-D Incoherently Distributed Sources
Authors: Liu Fulai , Tang Kai , Qin Hao 
Published: July 2021

Abstract
For two-dimensional (2-D) incoherently distributed sources, this paper presents an effective angular parameter estimation method based on shift invariant structure (SIS) of the beamspace array manifold (BAM), named as SIS-BAM algorithm. In the proposed method, a shift invariance structure (SIS) of the observed vectors is firstly established utilizing a generalized array manifold of an uniform linear orthogonal array (ULOA). Secondly, based on Fourier basis vectors and the SIS, a beamspace transformation matrix can be performed. It projects received signals into the corresponding beamspace, so as to carry out dimension reduction of observed signals in beamspace domain. Finally, according to the SIS of beamspace observed vectors, the closed form solutions of the nominal azimuth and elevation are derived. Compared with the previous works, the presented SIS-BAM method provides better estimation performance, for example: 1) the computational complexity is reduced due to dealing with low-dimension beamspace signals and avoiding spectral search; 2) it can not only improve the angular parameter estimation accuracy but also have excellent robustness to the change of signal-to-noise ratio (SNR) and snapshot number. The theoretical analysis and simulation results confirm the effectiveness of the proposed method.
Under-Informed Policy Interventions and Long-Run Damage to Industrialization (An Analysis of the Aatmanirbhar Bharat Abhyaan)
Authors: Majeed Mehak , Mushtaq Saeed Owais , Khan Javaid Iqbal 
Published: July 2021

Abstract
The Covid-19 pandemic came as a major shock to the economies around the world. To buy some time in order to plan, execute and implement measures to prevent and face the pandemic around 50 nations across globe implemented lockdown. India announced the spring lockdown in March 2020. Given the agile healthcare system, huge population and under-development the nation had to extend the lockdown. One of the worst hit sectors because of the lockdown were the Micro, Small and Medium enterprises (MSMEs). The sector looked forward for economic incentives and packages from the government. In June 2020 the ‘Aatmanirbhar Bharat Abhyaan’ (self-sufficient India campaign) was launched. The paper using the Annual Survey of Industries data examines in detail how the package was not sufficient to meet the needs and expectations of the MSMEs sector. The paper establishes that the MSMEs sector is the face of industrialization process in India. We argue that the package failed to address the actual problems in the sector and instead came up with the policies that may well deteriorate the sector further and harm the overall industrialization process. The major policy recommendation established by the research is strong and honest leadership relying on quadruple-loop learning model.
Job satisfaction vs. organizational climate: cross-sectional study in brazilian nursing professionals
Authors: Yamassake Ricardo Toshio , Baptista Patricia Campos Pavan , Albuquerque Vinicius Anselmo , Rached Chennyfer Dobbins Abi 
Published: July 2021

Abstract
Background

The organizational climate is one of the relevant constructs in the field of organizational behavior, being a construct investigated over the years. Considering the concerns that permeate the health of nursing workers and, believing that the organizational climate can interfere with job satisfaction, the present study seeks to relate the job satisfaction of the nursing team and the organizational climate in a University Hospital.
Methods

cross-sectional, quantitative study. EQUATOR checklist used to report the study is SQUIRE 2.0. The sample consisted of 226 nursing workers from a university hospital on the west side of the city of São Paulo, Brazil. A Socio-demographic and Professional Characterization Questionnaire, Organizational Climate Scale for Health Organizations (ECOOS), and Work Satisfaction Questionnaire (S20 / S23) were been applied.
Results

There is no correlation between Organizational Climate and Job Satisfaction and the higher the Organizational Climate score, the higher the Work Satisfaction score. The relationship between job satisfaction and organizational climate is complex and is associated with each individual's experience and the way they interpret these experiences.
Conclusion

There is a correlation between job satisfaction and organizational climate; it was verified through the applied instruments that several dimensions and sub-dimensions are associated with this relationship. Leadership was one of the most prominent dimensions. Implications for Health Policy: understanding the relationship between organizational climate and job satisfaction provides subsidies for the elaboration of strategies to mitigate the processes of exhaustion, illness, and incapacity of workers, as well as helping to improve the productivity and effectiveness of the nursing work process.
Cognitive Screening in HTLV-1 Infected People Using a Self-Perceived Memory Score and Auditory P300
Authors: de Castro Aline Rejane Rosa , Labanca Ludimila , de Resende Luciana Macedo , de Sousa Marjore Rhaissa , Dias Rafael Teixeira Scoralick , Caporali Júlia Fonseca de Morais , Gonçalves Denise Utsch 
Published: July 2021

Abstract
Background: The HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is the most common neurological manifestation associated with Human T-cell Lymphotropic Virus type-1 (HTLV-1) infection. Although cognitive impairment has been highlighted in the spectrum of HTLV-1 neurological manifestations, it may go unnoticed in those who do not spontaneously report it. We aimed at evaluating the applicability of a self-perceived memory score (SMS) and the cognitive event-related potential (P300) for the early detection of cognitive impairment in HTLV-1-infected people. Methods: The SMS was measured by a 0-10 visual analog scale combined with a sad-happy faces rating scale. The higher the number, the better was the SMS. The P300 was obtained through an oddball paradigm with a mental counting task. The participants were 15(21,4%) individuals with HAM/TSP, 20(28,6%) HTLV-1-asymptomatic carriers, and 35(50%) seronegative controls. Results: SMS (p<0.001) and P300 latency (p<0.001) got progressively worse from asymptomatic to HAM/TSP. A SMS <7.2 points and a P300 latency >369.0 milliseconds were considered as altered result and indicated cognitive impairment. The HAM/TSP group showed the highest prevalence of altered P300 (80%) and SMS (87%). Interestingly, the asymptomatic group also presented significant higher prevalence of altered SMS (60%) and P300 (35%) when compared to controls (<10%). The frequency of cognitive impairment was 16 times higher in the asymptomatic group and 69 times higher in the HAM/TSP group when compared to controls. Conclusion: The use of SMS in the medical consultation was a useful and easy-to-apply method to screen HTLV-1 infected subjects for everyday memory complaints.
Insulin resistance and other risk factors of cardiovascular disease in abnormal uterine bleeding
Authors: Shehata Hannah , Berry Abigail , Riba Christopher , Salcedo Andrea Cristine 
Published: July 2021

Abstract
Background

Studies indicate the presence of cardiovascular disease risk factors among patients with uterine fibroids and polycystic ovarian syndrome. Investigators were interested in examining the prevalence of cardiovascular disease risk factors and the independent predictors of insulin resistance (IR) among women with abnormal uterine bleeding (AUB).
Methods

This observational study examined 77 premenopausal subjects with AUB. Their medical history, body mass index, waist hip ratio, fasting insulin level, hemoglobin A1C, creatinine level, and lipid panel were evaluated. The participants were then subdivided using insulin levels and further compared. IR was defined at two different fasting insulin levels: >10µU/mL and > 15µU/mL.
Results

Of the 77 data sets analyzed, 91% of participants were current or former smokers, 62% had a waist hip ratio > 0.80, 45% were obese, and the majority of participants had dyslipidemia, with high total cholesterol (68%) and elevated LDL (38%) being the most prevalent. 66% of participants were insulin resistant as defined by the lower fasting insulin and 38% were insulin resistant as defined by the upper fasting insulin level. At the lower cutoff, the insulin resistant group was significantly more likely to have a waist hip ratio > 0.8, be obese, and have low HDL levels. At the upper fasting insulin cutoff, the insulin resistant group was significantly more likely to have low HDL levels, elevated triglyceride levels, a waist hip ratio > 0.8, and be obese. Univariate analysis showed statistically significant associations between IR in women with AUB and body mass index, waist hip ratio, and HDL for both fasting insulin cutoffs. Multivariate analysis using the lower fasting insulin cutoff revealed that body mass index and waist hip ratio were significant independent predictors of IR in a woman with AUB.
Conclusions

This study reveals the prevalence of IR and other predictors of cardiovascular disease are greater in women with AUB in this population than the general population. Body mass index and waist hip ratio are independent predictors of IR in women with AUB. Low HDL levels, elevated triglyceride levels, and ethnicity are also significantly associated with IR in women with AUB depending on the definition used.
Combined Toxicity and Toxicity Persistence of Antidepressants Citalopram and Mirtazapine to Zooplankton Daphnia Magna
Authors: Ma Yunfeng , Li Chenyang , Wei Shu , Guo Ruixin , Li Yang , Chen Jianqiu , Liu Yanhua 
Published: July 2021

Abstract
Citalopram (CTP) and mirtazapine (MTP) are two typical psychoactive drugs used for the treatment of depression. As emerging pollutants, CTP and MTP are of widely concern because they are active substances for organisms. However, the studies about the toxicity potential of CTP/MTP pollution to aquatic organisms were limited. In the present study, the effects of CTP and MTP on the feeding behavior, heartbeat, nutritional enzymes and related gene expressions of Daphnia magna were investigated under single and mixed environmental stress. Meanwhile, the recovery of exposed D. magna was studied to analyze the toxic persistence of those pollutants. After 24 h of exposure, the ingestion rate decreased significantly under 1.45 mg/L of CTP. In the mixed treatment groups, no significant synergistic effect of CTM and MTP on daphnia’ feeding inhibition was found. After 24 h of recovery, the feeding behavior of D. magna was stimulated by compensatory stimulation. At exposure period, the heartbeat rate of exposed D. magna increased significantly, and was recovered during the recovery period. The activity of α-amylase (AMS) and trypsin, and their relative gene expression were significantly changed in most of the exposed daphnia, both in the exposure period and recovery period. But there were different responses between gene transcription with enzyme activity. In general, psychoactive drugs have an obvious toxic threat to aquatic organisms, and after acute exposure, the physiological function of D. magna could be recovered to a certain extent. The results were helpful to evaluate the ecological risk of psychotropic drugs in aquatic environments.
Modification of Random Vibration Theory for the Near-fault Region
Authors: Phung Van-Bang , Abrahamson Norm 
Published: July 2021

Abstract
Standard random vibration theory (RVT) methods for estimating the horizontal spectral acceleration (PSA) amplitudes given the Fourier spectral amplitude (FAS) and ground-motion duration underestimate the PSA values for near-fault ground motions from large magnitudes. An empirical model that is unbiased for near-fault ground motions is developed using the statistical moments of the FAS and the duration as model input parameters, similar to standard RVT, but with a modification to also include magnitude and distance as input parameters. The data set used for the regression includes strong-motion recordings from active crustal regions in the NGA-West2 Pacific Earthquake Engineering Research (PEER) database from California earthquakes (M3.0-7.25) and global earthquakes (M5.0 – 7.9). The zeroth, first, and second spectral moments of the FAS of the 5%-damped oscillator response are used in the empirical model. The scaling with the moments of the FAS replaces the peak factor terms used in RVT. A parametric model for the 5-80% duration that depends on magnitude and distance is also developed to simplify the application of the model. Compared to the standard RVT approach, the conditional model significantly improves the estimation of near-fault PSA values estimated from the FAS. The conditional model is appropriate for use in converting non-ergodic FAS GMMs to non-ergodic PSA GMMs.
A fractional-order total variation-based model for image color transfer
Authors: Kang Myeongmin , Jung Miyoun 
Published: July 2021

Abstract

The color transfer problem aims at generating an image by changing the colors of a target image with new colors of a given reference image. In this manuscript, we introduce a novel fractional-order total variation-based model for the color transfer problem. The proposed model extends the total generalized variation-based model, by adding a new data fidelity term and changing the regularization term. These terms enable the reduction of color artifacts and keep the structures of a target image well. To solve our model, we adopt the forward--backward splitting algorithm, and the alternating direction method of multipliers is used for solving subproblems. Numerical experiments validate the effectiveness of the proposed model compared to the existing methods.
Lipid Accumulation Product: An Obtainable and Accurate Marker for Predicting Metabolic Syndrome in Kidney Transplant Recipients
Authors: Liu Chan , Zheng Yitao , Wang Xiaoping , Wu Yanqin , Chen Chuanbao , Duan Wenjuan , Yuan Xiaopeng 
Published: July 2021

Abstract
Background

Metabolic syndrome (MS) is common in kidney transplant recipients(KTRs) and associated with an increased risk of cardiovascular events. There is a need for accurate, non-invasive methods to predict MS in this population. Lipid accumulation product (LAP) is an effective marker of central lipid accumulation related to high risk of MS, cardiovascular disease(CVD) and diabetes. This study aims to assess the ability of LAP as a marker of MS in KTRs.
Methods

A total of 92 KTRs were included in this study. The general anthropometries and blood biochemical indexes were measured. Body mass index(BMI), waist-hip ratio (WHR), LAP, HOMA-IR and Framingham risk scores(FRS) were calculated.
Results

The prevalence of MS was 57.8 % in KTRs. Respectively, 64.1%, 16.3%, and 19.6% of patients with KTRs were at low, intermediate, and high risk of CVD according to FRS categorization. KTRs with MS had significantly higher LAP levels compared to those without MS. LAP was highly correlated with lipid metabolism, abdominal obesity, glucose metabolism and inflammatory factor in KTRs. Our analyses revealed that LAP is an independent risk factor for development of MS. Receiver operating characteristic curve (ROC) analysis showed that LAP was a significant discriminator for prediction of MS in KTRs. The optimal cutoff value for LAP in predicting MS was 39.72 (80.8 % sensitivity, 90 % specificity).
Conclusion

Our study revealed all adiposity measures of interest present themselves as easy and practical tools for evaluating MS in KTRs and LAP is the best index for the determination of MS in KTRs among them.
Geometric Calibration of Rotational Vision System for Dynamic Exterior Orientation
Authors: Qiu Mouze , Zhang Jin , Xiong Xiaonan , Zheng Kai , Yang Ze , Xia Haojie 
Published: July 2021

Abstract
Rotational vision system (RVS) is a common type of active vision with only rotational freedom. Typically, the rotational freedom is provided by turntable and pan-tilt-zoom (PTZ). Or eye in hand (EIH) structure in an articulated arm robot. The ideal assumption that rotation axes are perfectly aligned with the coordinate axes of the local camera is mostly violated due to assembling deviations and limitations of manufacturing accuracy. To solve this problem, we propose a generalized deviation model for a specified rotation axis that relates the rotation motion of the platform to the exterior orientation (EO) of the camera. Based on it we put heuristic estimation algorithms through minimizing global reprojection error and fitting a circle in space respectively for rotating platform with or without accurate angle measurements with constrained global optimization. Implemented experiments on a servo pan-tilt turntable validate the accuracy and efficiency of the above models and calibration technique.
Effect of Grain Husk Microfibers on Physicochemical Properties of Carboxymethyl Polysaccharides-based Composite
Authors: Wilpiszewska Katarzyna , Antosik Adrian Krzysztof 
Published: July 2021

Abstract
Preparation of the novel biodegradable composite based on carboxymethylated starch and cellulose matrix and plant fillers have been described. As a filler milled cereal husks of various origin: rye, spelt, and rice were used. Additionally, softwood flour was used for comparison. Introducing natural filler beneficially affected the mechanical parameters of the CMS/CMC system, as moisture absorption as well as solubility in water decreased (e.g. by ca. 7% and 6%, respectively for CMS/CMC with rice husk filler when compared to the neat system). Moreover the mechanical properties, i.e. Young's modulus and tensile strength increased. The chemical composition and size of natural fillers are essential factors determining the physicochemical properties of obtained composites, and cereal husks are promising raw materials for filling hydrophilic polysaccharide matrix.