bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of long working hours on mental health in China
Authors: Ma Xinxin 
Published: April 2022

Abstract
Background. Although previous studies have examined the impact of long working hours on mental health in China, they have not addressed the initial value and reverse causality problems. To bridge this gap in the literature and address these problems, we conducted a dynamic longitudinal analysis to investigate the association between long working hours and mental illness nationwide.Methods. Using three-wave longitudinal data from the China Family Panel Studies conducted in 2014, 2016, and 2018, we adopted dynamic regression models with lagged long working hours variables to examine their association with mental illness.Results. Long working hours were positively associated with mental illness. The effect was more significant for women, highly-educated, white-collar, and younger-generation workers compared to their counterparts. Conclusions. The results provided rich evidence of the adverse effects of long working hours on mental health in China. It is thus necessary to enforce the regulations regarding standard working hours and monitor regulatory compliance by companies, as these factors are expected to improve mental health in China.
CD8+ stem cell-like memory T cell subset is associated with disease progression in chronic hepatitis C virus infection
Authors: Lu Xiaofan , Song Bingbing , Weng Wenjia , Su Bin , Wu Hao , Zhang Tong , Gao Yanqing 
Published: April 2022

Abstract
Background The dysfunction of memory CD8+T cell can not be reverted by successful clearance of hepatitis C virus (HCV) after direct-acting antivirals (DAA) therapy, increasing the risk of reinfection with HCV. Stem cell-like memory T cells (Tscm) with superior capacities of long-lasting, self-renewing, and multipotency that contribute to the maintenance of immune function. Methods We investigated the impact of HCV infection on CD8+Tscm, and the possible role this compartment may has in disease progression, by using DAA-naïve HCV monoinfected and HIV/HCV coinfected cohorts. The distribution of memory CD8+T cell subsets and the level of T cell immune activation were determined by flow cytometry. Associations between CD8+Tscm and other memory T cell subsets, HCV viral load, as well as the level of T cell immune activation were analyzed. Results We observed that the proportion of CD8+Tscm increased in both HCV and HIV/HCV individuals. The proportion of CD8+Tscm had a positive correlation with that of CD8+Tcm, and a negative correlation with that of CD8+Tem, representing the contribution of CD8+Tscm in T cell homeostasis. In addition, higher frequency of CD8+Tscm indicated lower HCV viral load and less T cell immune activation in HCV monoinfection, which suggested that CD8+Tscm may associate with effective control of HCV replication. Conclusions CD8+Tscm may has protective immunity to HCV infection. Considering the characteristics of Tscm, our current study opens new opportunity for Tscm-based vaccine design and immunotherapy development to achieve HCV elimination.
Nanoparticles Aggregation Effects on MHD Mixed Convective Stagnation Point flow of water based nanofluid past a permeable stretching sheet in presence of Thermal Stratification
Authors: Mahmood Zafar , Khan Umar 
Published: April 2022

Abstract
Using a thermally stratified water-based nanofluid and a permeable stretching sheet as a simulation environment, this research examines the impact of nanoparticle aggregation on MHD mixed convective stagnation point flow. Nanoparticle aggregation is studied using two modified models: the Krieger-Dougherty and the Maxwell-Bruggeman. The present problem's governing equations were transformed into a solvable mathematical model utilizing legitimate similarity transformations, and numerical solutions were then achieved using shooting with Runge-Kutta Fehlberg (RKF) technique in Mathematica. Equilibrium point flow toward permeable stretching surface is important for the extrusion process because it produces required heat and mass transfer patterns and identifies and clarifies fragmented flow phenomena using diagrams. Nanoparticle volume fraction was shown to have an impact on the solutions' existence range, as well. Alumina and copper nanofluids have better heat transfer properties than regular fluids. The skin friction coefficients and Nusselt number, velocity, temperature profiles for many values of the different parameters were obtained. In addition, the solutions were shown in graphs and tables, and they were explained in detail. A comparison of the current study's results with previous results for a specific instance is undertaken to verify the findings, and excellent agreement between them is observed.
MALDI-TOF MS Protein Profiling Combined with Multivariate Analysis for Identification and Quantitation of Meat Adulteration
Authors: Pu Keyuan , Qiu Jiamin , Li Jiaying , Huang Wei , Lai Xiaopin , Liu Cheng , Lin Yan , Ng Kwan-Ming 
Published: April 2022

Abstract
The problem of adulteration and mislabeling in meat products has raised the public concerns globally. An easy-operation, fast and robust method that applicable to routine inspections is urgently needed. This study showed that the MALDI-TOF MS protein profiling of four meat species (beef, chicken, duck and pork) combining with partial least squares discriminant analysis (PLS-DA) discovered 57 feature peaks for their unambiguous differentiation. Among them, 36 were identified in Uniprot. Based on the linear relation between the intensities of feature peaks, the partial least squares regression was successfully applied to build the prediction models for determining the adulteration ratios of beef meat mixtures containing one of the other three species. Blind tests were applied to evaluate the method and the average prediction accuracy at 94.7% was achieved. Taking duck meat as the adulterant, the detection sensitivity of the method could be down to 5%. Moreover, the method has also been successfully applied to analyze market samples and the results were in agreement with the PCR method, showing the potential of its practical application for qualitative and quantitative analysis of adulterated beef products.
MicroRNA-1 attenuates the growth and metastasis of small cell lung cancer through CXCR4/FOXM1/RRM2 axis
Authors: Khan Parvez , Siddiqui Jawed A , Kshirsagar Prakash G. , Venkata Ramakanth Chirravuri , Maurya Shailendra Kumar , Mirzapoiazova Tamara , Perumal Naveenkumar , Chaudhary Sanjib , Kanchan Ranjana , Fatima Mahek , Khan Md Arafat , Rehman Asad Ur , Lakshmanan Imayavaramban , Mahapatra Sidharth , Talmon Geoffrey A. , Kulkarni Prakash , Ganti Apar K , Jain Maneesh , Salgia Ravi , Batra Surinder Kumar , Nasser Mohd Wasim 
Published: April 2022

Abstract
Background: Small cell lung cancer (SCLC) is an aggressive lung cancer subtype that is associated with high recurrence and poor prognosis. Due to a lack of potential drug targets, SCLC patients have few therapeutic options. MicroRNAs (miRNAs) provide an interesting repertoire of therapeutic molecules; however, the identification of miRNAs regulating SCLC growth and metastasis and their precise regulatory mechanisms are not well understood. Methods: To identify novel miRNAs regulating SCLC, we performed miRNA-sequencing from donor/patient serum samples and analyzed the bulk RNA-sequencing data from the tumors of SCLC patients. Further, we developed a nanotechnology-based, highly sensitive method to detect miR-1 (identified miRNA) in patient serum samples and SCLC cell lines. To assess the therapeutic potential of miR-1, we developed various in vitro models, including miR-1 sponge (miR-1Zip) and a DOX-On-miR-1 (Tet-ON) inducible stable overexpression systems. Mouse models derived from intracardiac injection of SCLC cells (miR-1Zip and DOX-On-miR-1) were established to delineate the role of miR-1 in SCLC metastasis. In situ hybridization (ISH) and immunohistochemistry (IHC) were used to analyze the expression of miR-1 and target proteins (mouse and human tumor specimens), respectively. Dual-luciferase assay was used to validate the target of miR-1, and ChIP-assay was used to investigate the protein-gene interactions.Results: A consistent downregulation of miR-1 was observed in tumor tissues and serum samples of SCLC patients compared to their matched normal controls, and these results were recapitulated in SCLC cell lines. Gain of function studies of miR-1 in SCLC cell lines showed decreased cell growth and oncogenic signaling, whereas loss of function studies of miR-1 rescued this effect. Intracardiac injection of gain of function SCLC cell lines in the mouse models showed a decrease in the distant organ metastasis, whereas loss of function of miR-1 potentiated growth and metastasis. Mechanistic studies revealed that CXCR4 is a direct target of miR-1 in SCLC. Using un-biased transcriptomic analysis, we identified CXCR4/FOXM1/RRM2 as a unique axis that regulates SCLC growth and metastasis. Our results further showed that FOXM1 directly binds to the RRM2 promoter and regulates its activity in SCLC. Conclusions: Our findings revealed that miR-1 is a critical regulator for decreasing SCLC growth and metastasis. It targets the CXCR4/FOXM1-RRM2 axis and has a high potential for the development of novel SCLC therapies.
Toxoplasma gondii detection and genotyping in the Environmental matrices: soil and water in Gaza, Palestine
Authors: Dardona Zuhair , Al-Hindi Adnan , Hafidi Mohamed , Boumezzough Ali , Sharif Fadel , Boussaa Samia 
Published: April 2022

Abstract
The aim of the current study was to determine the prevalence and genotypes of T. gondii oocysts in soil and water samples from Gaza, Palestine. For this purpose290 environmental samples, including 200 from soil and 90 from water, were collected. Soil samples were collected from Wadi-Gaza, vicinity of trash dumpsters, residential home yards, open-air marketplaces, public squares and gardens. Water samples were collected from Wadi-Gaza, wells used for drinking and irrigation. The samples were examined utilizing PCR and Sheather's solution techniques and genotyping of 4 samples was performed by PCR-RFLP. The results revealed that out of the 290 investigated samples, 31 (10.68%) proved contaminated by Sheather’s solution, whereas 22 (7.58%) were positive by PCR. Genotyping results showed that all of the four tested samples belonged to T. gondii Type I. The highest rate of contamination was detected in the samples collected from residential house yards, while public squares and gardens represented the lowest rate. Regarding the water samples, T. gondii oocysts were detected only in the samples collected from Wadi-Gaza. This work confirms the presence of Type I T. gondii in the soil and water of the study area, with soil contamination being heavier than that of water.
Disease-related protein co-expression networks are associated with the prognosis of resectable node-positive pancreatic ductal adenocarcinoma
Authors: Nishimura Toshihide , Takadate Tatsuyuki , Maeda Shimpei , Suzuki Takashi , Minowa Takashi , Fukuda Tetsuya , Bando Yasuhiko , Unno Michiaki 
Published: April 2022

Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a multifactorial disease, the molecular profile of which remains unclear. This study aimed at unveiling the disease-related protein networks associated with different outcomes of resectable, node-positive PDAC cases. We assessed laser-microdissected cancerous cells from PDAC tissues of a poor outcome group (POG; n=4) and a better outcome group (BOG; n=4). Noncancerous pancreatic duct tissues (n=5) were used as the reference. We identified four representative network modules by applying a weighted network correlation analysis to the obtained quantitative PDAC proteome datasets. Two network modules that were significant for POG were associated with the heat shock response to hypoxia-related stress; in the latter, a large involvement of the non-canonical Hedgehog pathway (regulated by GLI1), the internal ribosome entry site-mediated cap-independent translation, the inositol requiring enzyme 1-alpha (IRE1-alpha)/X-box binding protein 1 pathway of the unfolding protein response (UPR), and the aerobic glycolysis was observed. By contrast, the BOG characteristic module was involved in the inactivation of the UPR pathway via the synoviolin 1-dependent proteasomal degradation of IRE1-alpha, the activation of SOX2, and the loss of PALB2 (partner and localizer of BRCA2) function, all potentially suppressing malignant tumor development. Our findings might facilitate future therapeutic strategies for PDAC.
Postural balance challenge in isometric squat position: Hammerobics-synchronized squat
Authors: Murofushi Koji , Oshikawa Tomoki , Kaneoka Koji , Akuzawa Hiroshi , Yamaguchi Daisuke , Hirohata Kenji , Mitomo Sho , Furuya Hidetaka , Yagishita Kazuyoshi 
Published: April 2022

Abstract
BACKGROUND: Perturbation exercises enhance lower limb and trunk muscles, and adding swing perturbation while loading during exercise might improve muscle activation or strength. OBJECTIVE: To check variations in trunk and lower limb muscle activity during conventional isometric squats, and whether it will change with or without swing using the Hammerobics-synchronized squat method.METHODS: Twelve healthy men participated in this study. Activities for the abductor hallucis, tibialis anterior, tibialis posterior, peroneus longus, rectus femoris, biceps femoris, semitendinosus, gluteus maximus, multifidus, and internal oblique muscles were measured using surface electromyography during a Hammerobics-synchronized squat and conventional isometric squat. Muscle activities were statistically compared between squat methods.RESULTS: Hammerobics-synchronized squats significantly activated the abductor hallucis, tibialis anterior, tibialis posterior, peroneus longus, semitendinosus, and multifidus muscles, in both phases, compared with the conventional isometric squats. CONCLUSIONS: The Hammerobics-synchronized squat exercise can be considered for trunk and foot stability exercise.
First report of Asia II 7 and China 3 cryptic species of Bemisia tabaci (Gennadius) and identification of its associated endosymbionts in Bihar
Authors: Yashaswini Gummudala , Karthik Somala , Ahmad Md. Abbas , Kumar Udit , Reddy B Deepak , Keerthana A , Mallikarjun Gurram , Abinaya S , Reddy M. S. Sai 
Published: April 2022

Abstract
Bemisia tabaci (Hemiptera: Aleyrodidae) is a polyphagous invasive insect pest in the world that infests over 1000 plant species, spreads 300 plant viruses and associated with different endosymbiotic bacteria. In the current study, we looked at the genetic variation of B. tabaci populations and their association with endosymbiotic bacteria in Bihar (29 populations: 16 interhost and 13 interlocations). For this purpose, we conducted an inter-host survey and discovered that Brinjal was highly infested by B. tabaci, so, an interlocation survey was planned. The genetic variability among 29 populations were explored using nuclear markers i.e., Random Amplified Polymorphic DNA (RAPD), Simple Sequence Repeats (SSR) along with extra-nuclear marker (Cytochrome c oxidase subunit I -COI) for their molecular characterization. Interestingly, Bayesian phylogenetic analysis of 657 bp mtCOI sequences showed the existence of four cryptic species belonging to two genetic groups (Asia and China) viz., Asia I, Asia II 1, Asia II 7 and China 3. In this study we have reported different bacterial endosymbionts associated with 29 B. tabaci populations in Bihar. By amplifying of 16S rRNA of specific bacteria we were able to identify Portiera sp, the primary endosymbiont of B. tabaci, and other secondary endosymbionts like Arsenophonus sp, Wolbachia sp, Rickettsia sp, Hamiltonella sp and Cardinium sp. Overall, this study found that Asia II 7 and China 3 cryptic species were reported for the first time in Bihar region and Asia I was the dominant cryptic species and that secondary endosymbionts were not uniformly distributed in all the populations. Furthermore, our findings in mapping the distribution of B. tabaci populations and their associated endosymbionts in various ecosystems paved the way for future research and the development of area-wide management tactics for B. tabaci cryptic species in Bihar.
Determinants of Nonrenewal of National Health Insurance (Nhi) Membership Cards Among Healthcare Workers in the Kintamponorth Municipality, Bono East Region of Ghana
Authors: Hallidu Mustapha , Sumaila Issah 
Published: April 2022

Abstract
Introduction: National Health Insurance Scheme (NHIS) was implemented in Ghana in 2004 to serve as the lifeline to realizing Universal Health Coverage (UHC). Available evidence suggests that, formal sector workers do not promptly renew their expired NHIS membership cards. This study was therefore conducted to unearth factors responsible for the failure of healthcare workers in the Kintampo North Municipality to promptly renew their health insurance membership whenever it expires. Methods: A descriptive cross-sectional approach was used to conduct this study where three hundred and ninety-seven (397) participants were recruited using a proportionate stratified sampling technique. All variables with a p-value <0.25 at the bivariate analysis level were selected and put into multiple logistic regression analysis models for statistical significance (p-value < 0.05). Odds ratios with their corresponding 95% Confidence Interval were reported. A p-value < 0.05 was set as level of significance.Results: Almost all the respondents (94.0%) had NHIS membership cards; out of which 70.7% had valid membership cards. 40.0% did not renew their expired NHIS membership cards for more than 7 months. From the study, reasons given for health workers’ inability to promptly renew NHIS membership included: 212 (19.8%) indicated forgetfulness, busy schedules 191 (17.9%), procrastination 167 (15.6%), self-medication 170 (15.9%) and utilization of spiritual homes (4.5%). All socio-economic factors were significantly associated at the bivariate level (p<0.05). However, in the multiple logistic regression model, employment status, the type of health staff and monthly salary lost their statistical significance. Conclusion: NHIS subscription and membership renewals is high among healthcare works in the Kintampo North District of the Bono East Region of Ghana. However, there is the need to encourage those who do not renew their expired cards by ensuring that more NHIS cards renewal centers are established at close proximity to the health facilities. It will be prudent for NHIS to liaise with Government of Ghana (GoG) to put measures in place to facilitate automatic membership renewals for public sector workers who for some other reasons often fail to renew their cards.
From longitudinal measurements to image classification: Application to longitudinal MRI in Alzheimer’s disease
Authors: Mofrad Samaneh Abolpour , Bartsch Hauke , Lundervold Alexander Selvikvåg 
Published: April 2022

Abstract
We propose a novel method of constructing representations of multiple one-dimensional longitudinal measurements as two-dimensional grey-scale images. This can be used to turn classification problems from longitudinal settings into simpler image classification problems, allowing for the application of newer deep learning methods on longitudinal measurements. Our approach is applicable to situations with balanced or imbalanced longitudinal data sets, and where there are missing data at some time points. To evaluate our approach, we apply it to an important and challenging task: the prediction of dementia from brain volume trajectories derived from longitudinal MRI. We construct an ensemble of convolutional neural network models to classify two groups of subjects: those diagnosed with mild cognitive impairment at all examinations (stable MCI) versus those starting out as MCI but later converting to Alzheimer’s disease (converted AD). Models were trained on image representations derived from N = 736 subjects sourced from the ADNI database (471/265 sMCI/cAD). We obtained an accuracy of a resulting ensemble model of 76%, measured on an independent test set. Our approach is simple and easy to apply but competitive (in terms of accuracy) with results reported in other machine learning approaches with similar classification on comparable tasks. This indicates that our approach can lead to useful representations of longitudinal data.
Development of a Monitoring System for Disassembled Towers with Internal Suspension Poles
Authors: Zhang Long-Bin , Tang Bo , Shang Zhi-Yu , Wang Yue , Li Heng-Bo 
Published: April 2022

Abstract
At present, most of the derrick supported by inner suspension derrick for transmission tower projects rely on the experience of the construction personnel, and the construction has great hidden dangers. For this reason, combined with current power IoT (Internet of Things) technologies, we develop a set of intelligent monitoring system for inner suspension derrick for transmission tower erection in sections to monitor the force and spatial attitude of the derrick and iron tower material, as well as real-time information transmission and early warning. This article analyzes the technical process of inner suspension derrick for transmission tower erection in sections and the construction rules of inner suspension derrick for transmission tower erection in sections, determines the all-around safety monitoring of tower construction from the aspects of force, inclination, height and distance, and then constructs the overall structure of the system monitoring point. According to the characteristics of field construction, ZigBee and 4G communication technologies are selected to interconnect self-constituted LAN and 4G wide area network, so as to complete on-site data interaction and long-distance transmission. In view of the characteristics of many types and wide distribution of monitoring data in the system, the field data transmission and early warning program adopts polling mode to realize the orderly utilization of time when each channel passes through. The system has been verified by the 500kV delivery project of Fujian Zhouning Pumped Storage Power Station with good application.