bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of User Suitability Evaluation Method of Cognitive Training System Through Application x
Authors: Kim NaHyeon , Jeong JaeHoon , Kwon BumSun , Kim DaeChang , Na YoungJun , Kim SungMin 
Published: January 2022

Abstract
Background: To check in advance whether there are any problems in use and to address these in the process of designing a medical device, it is necessary to evaluate user suitability. Yet currently, there are a few user suitability evaluation constructs established for unique technologies. Therefore, the development of user suitability evaluation constructs for the user suitability evaluation of self-developed computerized cognitive rehabilitation applications should be prioritized. Method: To evaluate the user suitability of the computerized cognitive rehabilitation application developed in this paper, we derived the user suitability evaluation constructs of user satisfaction, time satisfaction, difficulty, comprehension, effectiveness, efficiency, and error, and after clinical trials for user suitability evaluation, we analyzed the results and tried to identify and address the problems of the developed evaluation constructs. Twenty-four senior citizens over 55 years of age participated in the clinical trial, and performed cognitive rehabilitation training once a week for 3 weeks using our self-developed cognitive rehabilitation application. Result: As the weeks progressed, satisfaction increased in orientation training and concentration training. User suitability evaluation constructs for effectiveness, efficiency, and error were appropriate, but there were insufficient aspects in the evaluation scales for user satisfaction, time satisfaction, difficulty, and understanding; Conclusion: we were able to derive an improvement plan by extracting the established user suitability evaluation scale. Trial registration: Ethics approval and consent to participate. The evaluation was conducted after obtaining Institutional Review Board approval from Dongguk University Ilsan Hospital (DUIH2020-07-001-001).
Comparative Analysis of Rainfall Trends in the Jinghe River Basin During 1959-2014
Authors: Weng Xuerou , Long Xunjian , Ye Yan , Ye Yong 
Published: January 2022

Abstract
Trend analysis is widely applied in hydrometeorological research. Considering that Innovative Trend Analysis (ITA) and Innovative Polygonal Trend Analysis (IPTA) can detect small variations on annual and smaller scale, rainfall trends at 14 hydrometeorological stations in the Jinghe River Basin were analyzed by ITA, IPTA and Mann Kendall test (MK). The results showed that the rainfall trends are subsistent from 1959 to 2014. Comparing the results of ITA and MK on annual level, it was determined that trends are consistent, but only two stations passed the 90% significance test through MK, while all stations passed the significance test through ITA. Accordingly, the ITA method proved to be better than MK in detecting small changes in time series. Changes in high and low values, obtained by the ITA method, reflected flood and drought trends in the basin. In addition, IPTA is an improved ITA method that is suitable for a relatively short time span. Through the IPTA method for analyzing the monthly precipitation trends, the results showed that rainfall at 14 stations increased in January, February, March, June and December, and decreased significantly in September. Therefore, the methodology applied in this study can provide detailed recommendations for hydrometeorological research.
A Novel Inflammation-Related Prognostic Biomarker for Predicting The Disease-free Survival of Patients With Colorectal Cancer
Authors: Cai Xiao ling , Chen Fa , Liang Li sheng , Jiang Wei , Liu Xing , Wang Dong , Wu Yun li , Chen Jin , Guan Guo xian , Peng Xian e 
Published: January 2022

Abstract
Background: To develop and evaluate the prognostic value of a comprehensive inflammatory biomarker for postoperative colorectal cancer (CRC) patients.Methods: A total of 646 CRC patients were recruited between August 2017 and December 2019 from Fujian Medical University Union Hospital, with follow-up data up to 2021. The least absolute shrinkage and selection operator method (LASSO) was used to select inflammation indicators in order to construct a comprehensive biomarker (named NSAP). The Cox regression model was utilized to analyze the association between the NSAP and the disease-free survival (DFS) of CRC. Predictive performance and clinical utility of prognostic models were evaluated by area under the curve (AUC) and decision curve analyses (DCAs).Results: During a median follow-up of 23 months, 95 clinical outcomes were observed, with a one-year survival rate is 89.47%. A comprehensive inflammatory biomarker (NSAP) was established based on four blood indicators (including Neutrophil-to-Lymphocyte Ratio (NLR), Neutrophil×Monocyte-to-Lymphocyte Ratio (SIRI), Albumin-to-Globulin Ratio (AGR) and Platelet-to-Lymphocytes Ratio (PLR)). Patients with a lower NSAP had significantly associated with better DFS of CRC (HR=0.53, 95%CI: 0.32-0.89). Moreover, compared to a previously established model, the traditional TNM staging system or/and tumor markers, the nomogram based on NSAP displayed more excellent predictive ability (0.752 vs 0.597, 0.711 and 0.735, P < 0.05). DCAs also demonstrated that the established nomogram had better utility for decision making.Conclusions: Our study suggests that NSAP may be a useful comprehensive prognostic biomarker for predicting the DFS of CRC patients. The nomogram based on NSAP can be considered a valuable tool to estimate the prognosis of patients with CRC.
Claudin17 deficient mice display leaky vasculature and organ injury accompanied by oxidative stress and inflammation
Authors: Adil Mir , Parvathagiri Varun , Verma Arti , Liu Fang , Rudraraju Madhuri , Narayanan S P , Somanath Payaningal R 
Published: January 2022

Abstract
The Multi-gene claudin (CLDN) family of tight junction proteins have isoform-specific roles in blood-tissue barrier regulation. Although CLDN17, a putative anion pore-forming CLDN, is assumed to regulate anion balance across the blood-tissue barriers, our knowledge about CLDN17 is limited. The current study investigated how Cldn17 deficiency in mice affects blood-tissue barrier integrity and vascular permeability. Cldn17−/− mice revealed no breeding abnormalities, but the newborn pups exhibited delayed growth until they turned 8-weeks. Adult Cldn17−/− mice displayed electrolyte imbalance, oxidative stress, increased vascular leakage, increased bone density, and organ injury. In addition, these mice demonstrated increased leukocytosis. A xenograft model to study pathological neovascularization showed higher vascular density in tumors developed in Cldn17−/− mice compared to wild-type controls. RNA-sequencing revealed hyperactivation of signaling pathways associated with inflammation and reactive oxygen species generation, demonstrating the importance of Cldn17 in blood-tissue barrier maintenance.
Multi-Expert Multi-criteria Decision-making Model to Support the Conservation of Paramount Elements in Industrial Facilities
Authors: Jato-Espino Daniel , Martín-Rodríguez Ángel , Martínez-Corral Aurora , Sañudo-Fontaneda Luis A. 
Published: January 2022

Abstract
Modern industrial electricity production is embedded in a global paradigm shift associated with the end of fossil fuels due to climate change, which has led to increased interest in leaving testament of power plants. Multi-Criteria Decision Analysis (MCDA) can help analyse complex interactions between industrial elements, society, culture and nature, providing key benefits when approaching heritage investigations. In this context, this research concerned the design of a Multi-Expert (ME) MCDA methodology to support the selection of paramount heritage elements in power plants based on the collection, processing and harmonisation of the views of a group of international experts in the field. This approach was tested using a case study in the As Pontes power plant (NW Spain), which will be dismantled in a near future. The results achieved pointed out to cooling towers, boilers, chimney and turbine hall as the fundamental elements to preserve due to their relevance across a set of technical, historical and sociocultural criteria. These outcomes proved the usefulness of the proposed approach in favouring the valorisation of industrial facilities as heritage areas protecting the social and cultural history of a territory.
Occupational Exposure to Blood and Body Fluids Among Nurses in Public Hospitals of the Emergency Department and Intensive Care Unit, Addis Ababa, Ethiopia: Cross-sectional Study
Authors: Adal Ousman , Abebe Asmamaw 
Published: January 2022

Abstract
Background: Exposure to blood and body fluids causes major health hazards and serious concerns among health care professionals in their work settings. The prevalence of exposure to blood and body fluids is increasing, particularly for nurses who work in the emergency unit. The study aimed to assess the prevalence of occupational exposure to blood and body fluids, and its associated factors among nurses in public hospitals in the emergency department and intensive care unit, in Addis Ababa, Ethiopia.Methods: A cross-sectional study was conducted from March 18, 2021, to April 20, 2021. Simple random sampling was used to select the studies in public hospitals. Semi-structured self-administer questioners were used to collect the data and analysis using SPSS version 25. Logistic regression model was used to identify the factors associated with exposure to blood and body fluids.Results: About 198 (0.76 with 95% CI: 0.71, 0.81) had been exposed to blood and body fluids in their professional lifetime, and 167 (0.64 with 95% CI: 0.58, 0.70) were exposed to blood and body fluids in the last 12 months. Being male (AOR = 2.88, 95% CI: 1.35, 6.12), a lack of access to handwashing facilities (AOR = 5.02, 95% CI: 3.73, 14.51), not wearing a face shield and apron (AOR = 6.21, 95% CI: 2.39, 9.55), and a lack of personal protective equipment (AOR = 5.53, 95% CI: 1.87, 10.38) were all found to be significantly associated with exposure to blood and body fluids.Conclusion: As a result of the lack of personal protective equipment, the majority of nurses did not consistently wear an apron and face shield while providing patient care, putting them at a higher risk of acquiring blood-borne pathogens.
Application of Estrogen for the Treatment of Stress Urinary Incontinence in Mice
Authors: Li Lu , Hong Shasha , Li Yang , Li Xiang , Yang Lian , Liu Jianfeng , Hong Li 
Published: January 2022

Abstract
Background The etiology of stress urinary incontinence (SUI) is complex and diverse among women, with past studies having demonstrated that estrogen deficiency is an important cause of pelvic floor muscle atrophy and urethral degeneration. We comprehensively investigated the effects of estrogen in the treatment of SUI in female mice at cellular and animal levels.Methods L929 cell mechanical injury model was established by four point bending device, and SUI mouse model was established by vaginal dilation method commonly used to simulate labor injury. After treatment, the expressions of collagen I, collagen III, elastin, TIMP-1, TIMP-2, MMP-2 and MMP-9 were detected, the leak point pressure (LPP) and abdominal leak point pressure (ALPP) of mice in each group were detected, and the effect of estrogen on extracellular matrix remodeling of mouse urethra and anterior vaginal wall was observed from the histological level.Results These results revealed that an appropriate amount of estrogen can promote the expression of collagen I, collagen III, elastin, TIMP-1, and TIMP-2, decrease the expression of MMP-2 and MMP-9, and maintain the dynamic balance of MMPs/TIMPs at both cellular and animal levels. Meanwhile, we determined that estrogen can increase the LPP and ALPP values of SUI mice. The collagen fibers’ content in the mice treated with estrogen was significantly greater than in the control group mice. Conclusions The estrogen may alleviate the symptoms of SUI by reconstituting ECM, toward laying a solid foundation for the further exploration of estrogen therapy.
Effect of conducting polymer incorporated heterostructure morphology of MgCo2O4@PPy nanosheets: A promising cathode material for asymmetric supercapacitor applications
Authors: Sathishkumar S , Karthik M. , Boopathiraja R. , Parthibavarman M. , Nirmaladevi S. , Sathishkumar S. 
Published: January 2022

Abstract
In this work, MgCo2O4@PPy composite material was synthesized by using hydrothermal and chemical polymerization methods. In 2 M KOH electrolyte solution, the pure and composite electrodes deliver specific capacitance of 632 Fg-1 and 988 Fg-1 at a low current density of 1 Ag-1. The MgCo2O4@PPy composite electrode demonstrates high specific capacitance, long-cyclic ability, high capacitive retention, and a large energy density when utilised as an asymmetric device (ASC). A good combination of conducting polymers, which significantly improves the electrochemically active site of the electrolyte electrode interface, is credited with the MgCo2O4@PPy composite electrode material's good electrochemical behaviour. At the same time, the heterostructure shape (Nanosheet@nanospherical) influences electrolyte solution penetration and electron/ion transport. These materials have a promising future in the realm of electrochemical energy storage.
Expression of Long Noncoding RNAs in the Ovarian Granulosa Cells of Women with Diminished Ovarian Reserve Using High-Throughput Sequencing
Authors: Dong Li , Xin Xin , Chang Hsun-Ming , Leung Peter C.K. , Yu Chen , Wu Haicui , Lian Fang 
Published: January 2022

Abstract
Background: Infertility is a global reproductive-health problem, and diminished ovarian reserve (DOR) is one of the common causes of female infertility. Long noncoding RNAs (lncRNAs) are crucial regulators of numerous physiological and pathological processes in humans. However, whether lncRNAs are involved in the development of DOR remains to be elucidated. Methods: Ovarian granulosa cells (OGCs) extracted from infertile women with DOR and from women with normal ovarian reserve (NOR) were subjected to high-throughput sequencing. Comprehensive bioinformatics analysis was conducted to identify the differential expression of messenger RNAs (mRNAs) and lncRNAs. Sequencing results were validated by the selection of random lncRNAs using real-time reverse transcription-quantitative polymerase chain reaction.Results: Compared with the NOR group, a total of 244 lncRNAs were upregulated (53 known and 191 novel), and 222 lncRNAs were downregulated (36 known and 186 novel) in the DOR group. Similarly, 457 mRNAs had differential expression between the two groups. Of these, 169 were upregulated and 288 were downregulated. Bioinformatics analysis revealed that the differentially expressed genes of mRNA and lncRNAs were considerably enriched in “cell adhesion and apoptosis”, “steroid biosynthesis”, and “immune system”. A co-expression network comprising lncRNAs and their predicted target genes revealed the possible involvement of the “thyroid hormone signaling pathway” and “protein binding, digestion and absorption” in DOR pathogenesis. The expression of SLC16A10 was positively regulated by multiple lncRNAs. Seven differentially expressed lncRNAs (NEAT1, RAB5A, MEG3, GNG12, MST1L, GCN1, and ZEB2-AS1) were identified, among which the expression of NEAT1, GNG12 and ZEB2-AS1 was in accordance with RNA-sequencing. Conclusions: We presented the first data showing that the expression profiles of lncRNA and mRNA in OGCs between NOR and DOR patients using RNA sequencing. The lncRNAs that we identified may serve as novel diagnostic biomarkers or drug targets for patients with DOR.
Stellar Initial Mass Function Varies with Metallicities and Time
Authors: Liu Chao , Li Jiadong , Zhang Zhi-yu , Tian Hao , Fu Xiaoting , Li Jiao 
Published: January 2022

Abstract
Most structural and evolutionary properties of our Milky Way and external galaxies strongly rely on the stellar initial mass functon(IMF), namely the distribution of the initial stellar mass formed in one episode of stellar population. Both constant and variable IMFs across different environments have been claimed in our Galaxy and in external galaxies, despite a large number of theoretical and observational efforts. However, most of these studies either depend on indirect models or are biased to relatively small sample sizes, leading to high uncertainties and inconclusive results. Here we report a large-sample star-counting statistical result based on ~93,000 M-dwarf stars in the 100–300 parsec Solar neighbourhood selected from the LAMOST9 and Gaia surveys, and find unambiguous evidence of a variable IMF distribution that depends on metallicity and stellar age. Specifically, the stellar population formed at the early time contains fewer low-mass stars compared to the canonical IMF, independent of stellar metallicities. In present days, on the other hand, the proportion of low-mass stars increases with stellar metallicity. Such non-universality of the IMF, especially for star-forming systems at low-metallicity environments, implies that the history of the Milky Way and bulk evolution of the Universe have to be reconsidered.
The multifactorial aquaculture-related COVID-19 shock in Benin, West Africa: A socio-economic perspective of mitigating the disruptive impacts on the small-scale and subsistence producers
Authors: Amoussou Toundji Olivier , Dessouassi Comlan Eugène , Yong Dorothé Ngondjeb , Fagnon Siméon Mahougnon , Houngbe Luc , Millogo Vinsoun , Toko Ibrahim Imorou , Frimpong Emmanuel A. 
Published: January 2022

Abstract
Aquaculture development in Benin depends heavily on small-scale and subsistence aquaculture producers (SSAPs), who are disseminating and sustaining production activities. The aquaculture sector is vulnerable to market shocks, because of its dependence on inputs and facilities, which are mainly imported from overseas. The recent outbreaks of global aquaculture diseases have also proven the sensitivity of the sector. The vulnerability of SSAPs is expected to increase as a subsequent result of the current coronavirus disease 2019 (COVID-19) pandemic. In addition, the gender-based vulnerability is very little documented and deserves to be evaluated in the country’s aquaculture sector. We conducted an on-line survey to assess the impact of COVID-19 and the resulting restrictive measures on the functioning of SSAPs farms. The data were collected from 98 SSAPs informants spread over the country's high aquaculture production zone. The rate of increase in input prices, linear discriminant and factorial correspondence analyses projected severe constraints in almost all the value chain. The rates of increase in the unit price of inputs increased from 14–188%, thus weakening aqua-farmers’ purchasing capacity. COVID-19 has led to a drop in the sales turnover of aqua-farms, resulting in staff reductions and unemployment. Difficulties in accessing quality inputs have led to the disruption of fish growth and thus the production cycle. The sale of aquaculture products saw a 20–30% drop in turnover in many farms. The challenges mentioned by women are mainly the high cost of fish feed, the rising input and transport costs, and the lack of financial resources. Therefore, short, medium and long-term mitigation measures are suggested and could help to alleviate these difficulties, while sustaining the blue revolution already under way. This community should adopt and strengthen their use of existing endogenous technologies as well as digital modern options for remote aquaculture sales, in order to cope with future disruptions. The scientific community should help to propose incentive-based alternative options (e.g., affordable production systems, and efficient micro-credit model) that can motivate fishers to move towards aquaculture, as a guarantee of the sustainability of their livelihoods and the environmental sustainability of the resource.
Firing Mechanism Based on Single Memristive Neuron and Double Memristive Coupled Neurons
Authors: Yu Fei , Shen Hui , Wang Chunhua , Sun Jingru , Cai Shuo 
Published: January 2022

Abstract
Memristive neurons and memristive neural networks constructed based on memristors have important research significance for revealing the mystery of the brain. This paper proposes a compound hyperbolic tangent cubic nonlinear memristor, which has nonvolatile memory characteristics and local activity characteristics. In particular, the memristor also has three stable pinched hysteresis loops under different initial values. The memristor is applied to Fitzhugh-Nagumo neuron and Hindmarsh-Rose neuron to establish five different memristive neural models, and a series of firing dynamics analysis are carried out on them. At the same time, we not only discuss multiple firing patterns on a single memristive neuron and double memristive coupled neurons, but also compare which neuron and which coupled neural network the proposed memristor is more suitable for, which is a lack of comprehensive investigation in the published research. Furthermore, digital circuit experiment is performed on the FPGA development board to verify the firing mechanism of these memristive neural models, which has potential application value for some practical projects.
Customs Valuation Assessment Using Cluster-based Approach
Authors: Siyam Nur , Alqaryouti Omar , Shaalan Khaled 
Published: January 2022

Abstract
Customs duty obligations are primary revenue sources for nations. Any under or over value can result in economic instability. The role of customs is safeguarding society and local businesses from criminally guided value manipulations. In this paper, a cluster-based approach to detect the customs commodity value manipulation is proposed. This approach represents the shipment related information into 3-dimensional space to determine any wrongdoing through two stages comprising distance- and density-based techniques. This representation simplifies the process by identifying relationships among the various shipment features. These two stages work together in order to analyse the shipments information and determine any abnormal behaviour for these shipments. The results of the proposed approach achieved an accuracy of 86%. This technique will provide much needed capabilities to protect the revenue and securing the trade supply chain from illegitimate activities.
Point and pixel inclusive machine learning models for exploring gully erosion susceptibility
Authors: Pal Swades , Debanshi Sandipta , Paul Satyajit 
Published: January 2022

Abstract
Sample point based spatial model derived from Machine Learning (ML) algorithms often generalizes the spatial pattern of event. The present study has tried to highlight how far it is acceptable and can it replace pixel based modelling? The present study has presented a comparative view of pixel and sample point based modelling of gully erosion susceptibility of the upper Mayurakshi basin to assess the predictabilities. Random forest (RF), Support Vector Machine (SVM) and (ADB) were applied for developing pixel and point based models in WEKA and Python software environments respectively. From the models, it is found that 14-25% area located mainly in the upper parts of the study unit is very highly susceptible to gully erosion. Based on the accuracy and performance level using Area under curve (AUC) of Receiver operating curve, sensitivity, precision, F1 score, MCC pixel based ensemble models are superior to point based modelling. Often, the point based models have a very poor agreement with training and testing data. So, pixel based models could not be replaced with point based models. RF is found as the best representative model. The study, therefore, recommends using pixel based modelling for this or a similar purpose. Since the models have figured out the gully erosion susceptible areas, it would be a useful tool for related planning processes.