bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristic Latent Features for Analyzing Digital Mental Health Interaction and Improved Explainability
Authors: Theilig Max-Marcel , Knapp Ashley Arehart , Nicholas Jennifer , Zarnekow Rüdiger , Mohr David Curtis 
Published: September 2020

Abstract
Background: Using smartphones and wearable sensor technology has sparked a broad engagement of data science and machine learning methods to leverage the complex, assorted amount of data. Despite verified processes, there is a reported underdevelopment of user engagement concepts, and the desire for high accuracy or significance has shown to lead to low explicability and irreproducibility. To overcome these issues, we aim to analyze principal characteristics of everyday behavior in digital mental health. Methods: We generated five latent features based on previous research, expert opinions from digital mental health, and informed by data. The features were analyzed with descriptive statistics and data visualization. We carried out two rounds of evaluations with data from 12,400 users of IntelliCare, a mental health platform with 12 apps. First, we focused to proof concept and second, we assessed reproducibility by drawing conclusion from distribution differences. User data was drawn from both research trials and public deployment on Google Play. Results: Our algorithms showed increased rationale for the basic usage of apps with different underlying behavioral strategies. Measures of the distribution of user’s allocated attention, the user’s circadian behavior, their consecutive commitment to a specific strategy, and users’ interaction trajectory curve are perceived as transferable to the public data set. Because distributions between research trial and public deployment were similar, consistency was shown regarding the underlying behavioral strategies: psychoeducation and goal setting are used as a catalyst to overcome the users’ primary obstacles, sleep hygiene is addressed most regularly, while regular emotional exposure is avoided. Relaxation as well as cognitive reframing have increased variance in commitment among public users, indicating the challenging nature of these apps. The relative course of the engagement (learning curve) is similar in research and public data. Conclusions: The deliberate, a-priori engineered features were reproducible across app users from both data sets. These features led to improved results as well as increased interpretability, providing an increased understanding of how people engage with multiple mental health apps over time. Since we based the generation of features on generic interaction proxies, these methods are applicable to other cases in artificial intelligence and digital health.
Climate indicators and COVID-19 recovery: A case of Wuhan city during the lockdown
Authors: Shuai Zhai , Fareed Zeeshan , Iqbal Najaf , Shahzad Farrukh , Yan Yong 
Published: September 2020

Abstract
The world needs to get out of the COVID-19 pandemic smoothly through a thorough socio-economic recovery. The first and the foremost step towards this process is the recovery of the people affected medically (COVID-19 patients). This is probably the first empirical study discussing the recovery from COVID-19 disease, and specifically aiming at exploring the environmental impact on COVID-19 recovered patients. The sample data is taken during the lockdown period in Wuhan from 23rd January 2020 to 8th April 2020. The novel econometric technique of Quantile-on-Quantile regression, recently proposed by Shin and Zhu (2016), is employed to capture the asymmetric association between environmental factors (TEMP, HUM, PM2.5, PM10, CO, SO2, NO2, and O3) and number of recovered patients from COVID-19 disease. We observe the heterogeneity among the variables across different quantiles of both independent and dependent variables. The findings suggest that TEMP, PM2.5, PM10, CO, NO2, and O3 are negatively related to the COVID-19 recovery, while HUM and SO2 show a positive association at most of the quantiles. The study recommends that maintaining a safe and comfortable environment for the patients may increase the number of recovered cases from COVID-19. The success story of Wuhan, the initial epicenter of the novel coronavirus in China can serve as an important case study for other countries to bring the outbreak under control. The current study could be conducive for the policymakers of those countries where the COVID-19 pandemic is still unrestrained.
Dynamic Balancing Responses in Unilateral Transtibial Amputees Following Transversal Plane Perturbations During Slow Treadmill Walking Differ Considerably for Amputated and Nonamputated Side
Authors: Olenšek Andrej , Zadravec Matjaž , Burger Helena , Matjačić Zlatko 
Published: September 2020

Abstract
BackgroundDue to disrupted motor and proprioceptive function lower limb amputation imposes considerable challenges associated with balance and greatly increases risk of falling in case of perturbations during walking. The aim of this study was to investigate dynamic balancing responses in unilateral transtibial amputees when they were subjected to perturbing pushes to the pelvis at the time of foot strike on nonamputated and amputated side during slow walking.MethodsFourteen subjects with unilateral transtibial amputation and nine healthy subjects participated in the study. They were subjected to perturbations that were delivered to the pelvis in different directions at the time of foot strike of either left or right leg. Centre of pressure and centre of mass positions, duration of in-stance and stepping periods as well as ground reaction forces were recorded and analysed for significant differences in dynamic balancing responses between healthy subjects and subjects with amputation when subjected to perturbation upon entering stance phases with nonamputated or amputated side.ResultsWhen perturbations were delivered at the time of foot strike of nonamputated leg subjects with amputation were able to modulate centre of pressure and ground reaction force similarly as healthy subjects. There was a complete lack of in-stance response when perturbations were delivered at the time of foot strike of amputated leg. Instead they used stepping strategy and adjusted placement of nonamputated leg in the ensuing stance phase to increase (forward perturbation) or decrease (backward perturbation) step length or making a cross-step (outward perturbation) which resulted in higher displacement of centre of mass. However, when perturbations were directed inward healthy subjects and subjects with amputation reacted primarily with a stepping response regardless whether healthy, nonamputated or amputated leg was in stance phase.ConclusionsResults of this study suggest that due to the absence of COP modulation mechanism that is normally supplied by calf muscles people with unilateral transtibial amputation are compelled to choose stepping strategy over in-stance strategy when they are subjected to perturbation on the amputated side. However the stepping response is less efficient than in-stance response which may potentially be significant contributor to frequent falls.
Synthesis of Novel Electrospun Composite Nano Powders of the Quaternary Ti-Al-O-B System
Authors: Ghadimi Zohreh , Esfahani Hamid , Mazaheri Yousef 
Published: September 2020

Abstract
In the present work, electrospinning was applied to develop multicomponent oxide, boride, and borate nanostructures in a quaternary Ti-Al-O-B system. Different molar ratios of B/(Ti + Al) (0.8, 1.6, and 2.4) were employed and evaluated. Imaging with the field emission scanning electron microscope (FESEM) and the transmission electron microscope (TEM) revealed that after one hour of thermal treatment at 1100 °C, the hybrid electrospun nanofibers (NFs) in the fibrous platform transformed into nanoparticles (NPs), nano-needles, and nano-whiskers at B/(Ti + Al) molar ratios of 0.8, 1.6, and 2.4, respectively. The binding energies were investigated by X-ray photoelectron spectroscopy (XPS), whereas the phase study was conducted via the X-ray diffraction (XRD) technique. The results confirmed the formation of nanostructured ceramic powder platforms composed of the multiple components, namely oxides (e.g., B doped TiO2; Al2O3), borides (TiB, TiB2, Ti2B5, TiB12, and AlB2), and borates (TiBO3; Al18B4O33). Simultaneous thermal analysis (STA) of the Ti-Al-O-B mats indicated that the borides and borates formed consecutively at temperatures above 800 °C through reactions involving molten B2O3. We found that the obtained NPs were well arranged and sintered together throughout the fibers.
Understanding Spatial Variations in Earthquake Vulnerabilities of Residential Neighborhoods of Mymensingh City, Bangladesh: An AHP-GIS Integrated Index-based Approach
Authors: Alam Md. Shaharier , Haque Shamim Mahabubul 
Published: September 2020

Abstract
Mymensingh city is highly earthquake vulnerable due to its geological setting, existence of three faults, viz., Dauki Fault, Madhupur Blind Fault and Sylhet-Assam Fault in its close vicinity, and liquefaction susceptible soil type. Recently an attempt has been made to assess earthquake risk of the city by Comprehensive Disaster Management Programme II, of Government of Bangladesh using FEMA developed HAZUS tool which requires usage of enormous resources and expertise. Poorly resourced city planning authorities of developing countries are seldom equipped with such financial and human resources, and as a result, the inclusion of earthquake risk analysis, more specifically, information regarding spatial variations of earthquake risk is very often found missing in their physical planning exercises. This paper aims to assess the spatial variation of earthquake vulnerability of residential neighbourhoods of Mymensingh city, employing an index-based low cost approach which could provide a reasonably accurate result with minimum resource and expertise requirements. Analytical Hierarchy Process and Weighted Linear Combination are combined with a Geographical Information System to prepare a composite index considering 23 different parameters, stemming from geological, structural, socio-economic and systematic dimensions of earthquake vulnerability. The findings of the reseach show that out of 241 residential neighbourhoods of Mymensingh city, 51 are observed to be highly vulnerable, while, 123 and 67 are medium and low vulnerable respectively. Besides, the spatial distribution of earthquake vulnerable neighbouhoods in Mymensingh City, observed in the current study has also been compared with spatial distributions observed in two similar previous studies and observed found to be reasonably close. This justifies the validity of the current low cost approach for wider application in cities of resource starved developing countries.
Thromboelastometry Early Identifies Thrombotic Complications Related to Covid-19: A Case Report
Authors: Martin Raissa Lanna Araújo San , Crochemore Tomaz , Savioli Felicio Aragão , Coelho Fernanda Oliveira , Passos Rogério da Hora 
Published: September 2020

Abstract
Background: Covid-19 is a contagious infectious disease, which quickly spread worldwide, whose clinical presentation includes from mild symptoms such as flu to pneumonia and severe acute respiratory syndrome. The severe presentation of the disease can affect different organs and systems. Coagulopathy has been associated with a worse clinical outcome, with manifestations such as pulmonary embolism and systemic arterial thrombosis. Thromboelastometry has been used to identify hypercoagulability in early stages of disease. Case presentation: We report the case of a 59-year-old woman with Covid-19 infection complicated by pulmonary embolism and acute arterial thrombosis associated with critical lower limb ischemia requiring amputation. Conclusions: In this case, thromboelastometry allowed the early identification of hypercoagulability pattern. This reported case showed that the early thromboelastometry can be useful to identify hypercoagulable state to guide the anticoagulant therapy and to avoid thrombotic complications.
WITHDRAWN: A Fuzzy Rule-Based Compartmental Modeling for SARS-CoV-2
Authors: Siam Zakaria Shams , Hasan Rubyat Tasnuva , Ahamed Hossain , Youme Samiya Kabir , Anik Soumik Sarker , Alita Sumaia Islam , Rahman Rashedur M. 
Published: September 2020

Abstract
Different epidemiological compartmental models have been presented to predict the transmission dynamics of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is the most burning issue all over the world right now. In this study, we have proposed a new fuzzy rule-based Susceptible-Exposed-Infected-Recovered-Death (SEIRD) compartmental model to delineate the intervention and transmission heterogeneity in China, New Zealand, United States and Bangladesh for SARS-CoV-2 viral infection. We have introduced a new dynamic fuzzy transmission possibility variable in the compartmental model. Through our model, we have presented the correspondence of the intervention measures in relaxing the transmission possibility. We estimated that the peak in the US might arrive during the last half of August and for Bangladesh, it might occur during the first half of August, 2020 if current intervention measures are not violated. We have modeled a prediction scenario for Bangladesh if current intervention measures are violated due to Eid-ul-Azha. We further investigated what might happen if Bangladesh government reopens everything from September, 2020. We suggested various effective epidemic control policies for the authority of Bangladesh to fight against the virus. We concluded analyzing the current scenario of Bangladesh suggesting that extensive tests must be carried out collecting more samples of the asymptomatic individuals along with the symptomatic cases and also proper isolation and quarantine measures should be maintained strictly to contain the epidemic sooner.
Assessment of the Environmental Significance of Heavy Metals Pollution in Surficial Sediments of South Brittany Waters, France: An Ecological Risk Assessment Approach
Authors: ONG MENG CHUAN , Hui-Juan Pan , Shazili Noor Azhar Mohamed , Menier David , Dupont Virginie , Révillon Sidonie , Coynel Alexandra 
Published: September 2020

Abstract
Distribution patterns of selected heavy metals content in sediments from the Bay of Quiberon and Gulf of Morbihan were studied to understand the current heavy metals contamination due to urbanization and mariculture activities in the coastal area. Therefore, a survey was conducted and 196 sediments collected were characterized for heavy metals content using Inductively Coupled Plasma – Mass Spectrometry (ICP–MS) after mix acid digestion process. The distribution maps of the concentrations of the heavy metals studied were produced as an isopleth map based on data interpolation by the ArcGIS software application. The association with the adverse effects on aquatic organisms was determined by the classification of the sediment according to the sediment quality guidelines. Therefore, two approaches were employed namely; direct comparison with Sediment Quality Guidelines (SQGs) by USEPA (United States Environmental Protection Agency) and comparison with other numerical SQGs, threshold effect level/probable effect level, and effect range low /effect range medium. In order to estimate the effect of multiple contaminations of heavy metals, the mean–ERM–quotient was calculated at each sampling point.
Faecal Carriage Rate of Extended-Spectrum Beta-Lactamase-Producing Escherichia coli and Klebsiella Pneumonia Among Apparently Health Food Handlers in Dilla University Student Cafeteria
Authors: Diriba Kuma Urgeya , Awulachew Ephrem , Takele Lami , Ashuro Zemachu 
Published: September 2020

Abstract
Background: The rapid spread of extended-spectrum β- lactamases (ESBL) producing enterobacteriaceae among food handlers, which can cause food borne outbreaks, is a public health concern and become a serious world threat. Klebsiella pneumoniae and Escherichia coli are the predominant ESBL-producing enterobacteriaceae. There is no sufficient data related to this in underdeveloped countries. Objective: This study was aimed assess the magnitude of ESBL producing Klebsiella pneumoniae and Escherichia coli isolated from stool of apparently health food handlers in the Dilla University Student Cafeteria. Methods: A cross-sectional study was conducted from November to September 2018/2019. A structured questionnaire was used for collection of data on socio- demographics. A total of 220 stool samples were cultured on MacConkey agar and a series of biochemical tests was done for the identification of bacterial species. Double-disk synergy (DDS) method was used for the detection of ESBL-producing strains. A disc of amoxicillin clavulanic acid was placed in the center of the Mueller–Hinton agar plate, and cefotaxime, aztreonam, and ceftazidime were placed at a distance of 20mm from the disk placed at center. Enhanced inhibition zone of any of the cephalosporin discs on the side facing amoxicillin clavulanic acid was considered as ESBL producer. Results: The rate of faecal carriage of E. coli and K. pneumonia among the food handlers of the current study was found to be 66.4%, of which 81.5% was E. coli, while 18.5% was K. pneumonia. From the total bacterial isolates, 25.3% were confirmed to be positive for ESBL production of which 19.9% was E. coli, while 5.5% was K. pneumonia. ESBL-producing faecal carriage showed high resistance to aztreonam, cefotaxime, ceftriaxone, cefuroxime, and ceftazidime with resistance rate ranged from 88-100%, while the least resistance rate was seen against imipenem accounted <26.3%. In this study, around 91.9% of ESBL-producing isolates were co-resistant to β -lactams antibiotics plus at least one of the non β -lactam antibiotics. Only food handlers who used antibiotics repeatedly in the last 3months were significantly associated with the ESBL carriage with P values of 0.001, 95% CI (1.12-3.18). Conclusion: The magnitude of ESBL-producing E. coli and K. pneumonia faecal carriage is alarmingly high and a threat to human health. The occurrence of multidrug resistance to third-generation cephalosporins and non-β lactam antibiotics is more common among ESBL producers. Detecting and reporting of ESBL-producing organisms have a remarkable importance in clinical decision-making. Hence, a coordinated effort should be implemented for the prevention and control the disease Enterobacteriaceae
Vitamin C and corticosteroids in viral pneumonia: a prospective cohort study
Authors: Anstey Matthew , Lu Jacky , Myers Erina , Palmer Robert , Wibrow Bradley , Ho Kwok 
Published: September 2020

Abstract
16 patients were admitted to a tertiary intensive care in 2019 for viral pneumonia. 11 were prescribed corticosteroids for vasopressor resistant shock, and 9 received intravenous vitamin C (1.5 g QID) at the discretion of the treating clinician. Data was collected prospectively to examine the change in PaO2/FiO2 ratios after administration of Vitamin C, and the association with mortality. Vitamin C did not change oxygenation, but combined with corticosteroids there was trend towards a beneficial separation in the P/F ratio over time. The use of corticosteroids was associated with a mortality benefit. These findings need confirmation in a larger study. Wordcount 99
Experiences of Seeking Antenatal Care and Delivery Among Teenagers at Health Facilities in Kibuku District, Eastern Uganda
Authors: Basaza Robert K , Mawerere Josephine N , Namusana Rebecca 
Published: September 2020

Abstract
Background: Uganda is ranked 14th out of 54 countries in Africa with the highest levels of teenage pregnancies. The teenage pregnancy rate in Kibuku District in 2016 was at 35.8%, higher than the average rate in Uganda (25%) and also above the average one for rural areas in Uganda which was at 27%. Unfortunately, there is limited information on the experiences of seeking antenatal care and delivery among teenagers in the district. Method: This paper explored what these teenagers experience when they seek services at health facilities in Kibuku district, Eastern Uganda. This study used a phenomenological design. Data was collected using in-depth interviews from pregnant teenagers aged 13-19 years, seeking antenatal care (ANC) or who had delivered. They were purposively selected to participate in the study. Data collected was thematically analyzed through coding.Results: Most teenage mothers know the importance of seeking ANC and delivering from a health facility. Unfortunately, only a few seek services early due to some experiences. These include personal experiences like financial constraints; interpersonal experiences like support they receive from the people they stay with who include husbands and parents, medication given, health workers’ attitude and health education given.Conclusion: The personal experiences of pregnant teenagers or those who had delivered at health facilities is that they knew the importance of seeking ANC and delivery at health facilities. The experiences with the health facilities also contributed to the seeking behavior of the teenage girls. For example, the comfort received by the girls at the facility, medication administered, the way they were treated by the health workers and the availability of utilities. The teenage girls need to be sensitized by health and social workers about the sensitive nature of their health when they are pregnant so that they are able to make personal decisions.
Identification of Four Hub Genes Involved in Breast Cancer Based on Robust Rank Aggregation and WGCNA Methods
Authors: Ke Rongqin , Yin Jinbao 
Published: September 2020

Abstract
Background: Further elucidation of the molecular mechanisms of the occurrence, development and prognosis of breast cancer remains an urgent need. Identifying hub genes involved in these pathogenesis and progression can potentially help to unveil these mechanisms and provide novel therapeutic targets for breast cancer. Methods: In this study, we systematically integrated robust rank aggregation (RRA), functional enrichment analysis, protein-protein interaction (PPI) networks construction and analysis, weighted gene co-expression network analysis (WGCNA), DNA methylation analyses and genomic mutation analyses, GSEA and GSVA to identify potential hub genes that are highly associated with breast cancer. Results: We identified a total of 512 robust DEGs that were significantly associated with breast cancer based on RRA analysis and functional enrichment analysis. CENPL, ISG20L2, MRPL3 and LSM4 were identified as four potential hub genes for breast cancer through the WGCNA analysis and literate search. These four hub genes were upregulated in breast cancer tissues and associated with tumor progression. ROC and Kaplan-Meier indicated these four hub genes all showed good diagnostic performance and prognostic values for breast cancer. Methylation analyses and genomic mutation analyses suggested that the abnormal up-regulation of these genes are likelyresulted from hypomethylation and gene mutations. Moreover, GSEA and GSVA for single potential hub genes revealed they were all tightly related to the proliferation of tumor cells. Conclusion: We identify four genes (CENPL, ISG20L2, MRPL3, and LSM4) that are likely playing key roles in the molecular mechanism of occurrence and development of breast cancer. They may become potential therapeutic targets for breast cancer patients with further studies. Keywords: breast cancer, RRA, WGCNA, hub genes