bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Predictive Value of Serum Alkaline Phosphatase Level on the Degree of Neurological Impairment in Patients With Acute Cerebral Infarction
Authors: Zou Ji-ming , Li Xiao-yu , Han Chao 
Published: October 2021

Abstract
ObjectiveTo analyze the correlation between the changes of ALP level and the degree of neurological impairment in patients with acute cerebral infarction. MethodsA total of 267 patients with acute cerebral infarction were selected as the cerebral infarction group, 181 elderly patients who were matched age and gender in the same period with the cerebral infarction group were selected as the control group by the physical examination. All the selected patients were tested for serum ALP, ALT, AST, Cr, BUN,TG, TC, LDL - C and HDL - C after eight hours on an empty stomach. In the 72nd hour of the patient's course of cerebral infarction, the degree of neurological impairment was assessed using NIHSS score. The relationship between serum ALP level and NIHSS score was analyzed. ResultsAccording to NIHSS score, the patients with score of 5~15 were Group A , patients with score of 15~20 were Group B and score of 21~42 were Group C. Pearson correlation analysis showed that the serum ALP level of the three groups was positively correlated with NIHSS score. Multivariate regression analysis results showed that the high serum ALP level of the risk of cerebral infarction is a low serum ALP level 1.58 times. Conclusions﻿Serum ALP level was increased in patients with acute cerebral infarction and was closely related to the degree of neurological impairment. Perhaps the serum ALP level may be used as a serum marker to predict the degree of neurological impairment in patients.
Rapid Electrification in Kenya: Progress, challenges, and practical geospatial solutions
Authors: Leonard Alycia , Wheeler Scot , McCulloch Malcolm 
Published: October 2021

Abstract
This policy briefing argues that rural electrification can be improved through geospatial policy interventions, using Kenya as a salient case study. Through semi-structured interviews complemented by literature review and analyses using Geographic Information Systems and the Multi-Tier Framework for Measuring Energy Access, we find that existing geospatial data can be used to better estimate electricity demand, target best-fit electrification technologies, and implement incentives to encourage universal access. Furthermore, service for existing customers can be improved by geotagging customer records, fault reports, maintenance work, and other operational data.
Situational Analysis of Forensic Mental Health in Bangladesh
Authors: Ashraf Sayedul , A Yahia Md , Sajib Md Shafikuzzaman , Azdi Zunayed Al 
Published: October 2021

Abstract
Forensic Mental Health in Bangladesh is an unattended domain of mental health services. With about 17% of the population suffering from mental disorders per year and more than 80 thousand prisoners in the country, there have not been any studies to look into forensic mental health situations. This research has given an overview of the health and legal systems through qualitative research focusing on a desk review and key informant interviews. Findings show that though there are guidelines in the law and regulatory codes in the judicial systems, implementing those guidelines is not seen in many cases. There are several areas in the health system in terms of capacity, service and resources which needs to be addressed by the government for supporting the healthcare providers, lawyers, judges and mentally ill or disabled people. Our study also portrayed the current referral mechanisms connecting both legal and health systems while addressing different cases of forensic mental health. Finally, discussing the implications of the findings, we presented recommendations from our study and other literature.
Spatio-Temporal Analysis of Hydropower Projects with Terrestrial Environmentally Sensitive Areas of Nepal
Authors: Ghimire Hemant R 
Published: October 2021

Abstract
The hydropower project’s construction is increasing that can affect the terrestrial environment. Hydropower projects located in environmentally sensitive areas have higher environmental impacts, so I analyzed the spatio-temporal interaction between hydropower projects’ locations and terrestrial environmentally sensitive areas of Nepal to visualize the probable environmental impacts. I found that most of the existing projects lie on the hill, however, future projects are moving northward. Among the 12 eco-regions of Nepal, hydropower projects are located in 10 eco-regions. Hydropower projects were found to interact with more than half of biodiverse areas of the country (28 out of 45), and more than five thousand megawatts of hydropower projects are located completely inside these biodiverse areas. The study suggests that the interaction between hydropower projects and environmentally sensitive areas might increase in the future. Hydropower projects should avoid environmentally sensitive areas such as biodiverse areas and protected areas as far as possible to minimize the impacts. Rapid hydropower development is a necessity in countries like Nepal, so further studies on the impacts of hydropower projects on environmentally sensitive areas as well as improvement of the quality of the environmental assessment of the projects are necessary for environment-friendly development.
“I Felt Very Small and Embarrassed by the Health Care Provider When I Requested to be Tested for Syphilis”: Barriers and Facilitators of Regular Syphilis and HIV Testing Among Female Sex Workers in Uganda
Authors: Muhindo Richard , Mujugira Andrew , Castelnuovo Barbara , Sewankambo Nelson K. , Parkes-Ratanshi Rosalind , Tumwesigye Nazarius Mbona , Nakku-Joloba Edith , Kiguli Juliet 
Published: October 2021

Abstract
Background: Periodic testing of female sex workers (FSW) for sexually transmitted infections (STIs) is a core component of global and national responses to achieve population-level STI elimination. We conducted a qualitative study to explore barriers and facilitators of regular syphilis and HIV testing among FSW in Uganda. Methods: Within a quasi-experimental study among 436 FSW to assess the effect of peer education and text message reminders on uptake of regular STI and HIV testing among FSW, we conducted 48 qualitative interviews in four cities in Uganda from August-December 2018. We purposively selected FSW who tested for syphilis and HIV every 3-6 months; 12 FSW were interviewed in each city. Sex worker interviews explored: 1) reasons for periodic syphilis and HIV testing; 2) barriers and facilitators of testing; 3) experiences of testing; and 4) challenges faced while seeking testing services. Data were analyzed using thematic content analysis. Results: Thematic analysis revealed individual- and health system-level barriers and facilitators of testing. For syphilis, barriers were: a) interpersonal stigma, low perceived severity of syphilis and testing misconceptions (individual); and b) judgmental provider attitudes, paucity of facilities offering syphilis testing, stock outs of test kits and high cost (health system). Facilitators were: c) desire to remain healthy, get married and have children, knowing the benefits of early treatment, influence of male partners/clients and normative testing behaviors (individual); and d) sex worker clinics offering dual syphilis/HIV testing (health system). For HIV, barriers included: a) internalized stigma (individual); and b) unfavorable clinic hours, stigma, discrimination, and unfriendly provider (health system). Facilitators were: a) motivations to stay healthy and attract clients, habitual testing, self-efficacy, doubts about accuracy of negative test results, and use of post-exposure prophylaxis (individual);: and d) availability of testing facilities (health system). Syphilis and HIV had some similar Ttesting barriers and facilitators. overlapped substantially for both infections.Conclusions: HIV programs are likely to be important entry points for syphilis testing among FSW. Multi-level interventions to address testing barriers should consider focusing on these service delivery points. Extending the dual syphilis and HIV testing approach to FSW may improve the testing uptake for both infections at public health facilities and decrease population-level incidence.
Ensemble of Hybrid Neural Networks to Compensate for Epistemic Uncertainties: A Case Study in System Prognosis
Authors: Dourado Arinan De Piemonte , Viana Felipe 
Published: October 2021

Abstract
In this contribution, a case study considering an unexpected corrosion-fatigue crack propagation issue in an aircraft fleet is used to discuss how to compensate for incomplete knowledge in time dependent responses integration and extrapolation.
For the considered application, degradation resulting from mechanical fatigue is well understood and accounted in the damage models.
However, the unexpected corrosion effects are not accounted in damage integration, yielding a large discrepancy between predicted and observed crack lengths.
To address this epistemic uncertainty in the fleet damage accumulation model, hybrid neural networks cells are formulated; where physics-informed layers address well-understood aspects of the degradation, and data-driven layers are trained to act as correction terms.
The considered case study encompasses highly imbalanced data sets with uncertainties acting asynchronously.
To improve overall accuracy, ensemble learning techniques are adapted to merge the resulting hybrid neural network cells predictions.
Lastly, a heuristic based on optimal ensemble weights is presented to help in the decision-making task of defining safe operation of the fleet.
Results show that our proposed approach was capable of compensating for the epistemic uncertainties, and that the proposed heuristic can be used to rank aircraft damage severity, allowing to prioritize aircraft for inspection and/or route reassignment.
Climate Change Impact On Lake Tana Water Storage, Upper Blue Nile Basin, Ethiopia
Authors: Wubneh Melsew A. , Worku Tadege A. , Fekadie Fitamlak T. , Aman Tadele F. , Kifelew Mekash Shiferaw 
Published: October 2021

Abstract
Temperature and precipitation trend fluctuations influence the components of the hydrological cycle and the availability of water supplies and their resulting shifts in the balance of lake water (lake level). Quantile mapping was applied to correct temperature biases, and power transformation was applied for rainfall correction. The performance of the HBV model was evaluated through calibration and validation using objective functions (RVE, NSE) and provide RVE of 3.7%, -1.27%,1.05%, -0.72%,8.9% and -0.68 during calibration and RVE of -1.5%, 6.93%, -3.04%,8.796%, -5.89% and 8.5 % during validation for Gumara, Kiltie, Koga, Gilgel Abay, Megech and Rib respectively, While the model provided NS of 0.79,0.63,0.72,0.803,0.68 and 0.797 during calibration and NSE of 0.8,0.64,0.7,0.82,0.801 and 0.82 during validation for Gumara, Kiltie, Koga, Gilgel Abay, Megech, and Rib respectively. The simulated Lake level showed adequate agreement to the observed with NS and RVE of 0.7 and 6.44 % respectively. The result confirmed that over lake evaporation and rainfall increase for all future scenarios. The ungauged surface inflow is also increased shortly scenarios while gauged surface inflow increased for RCP4.5 (the 2070s) and RCP8.5 (2040s) and decreased for RCP4.5 (2040s) and RCP8.5 (2070s). The decreased in gauged surface water inflow is due to a decrease in inflow for Gilgel Abay, Koga and Gumara gauged catchments. Lake storage results showed a decrease in all future scenarios of all-time horizons.
Pre-Processing Unsellable Tomatoes into Separated Streams with the Intention of Recovering Protein
Authors: Baker Paul , Preskett Dave , Krienke Dominik , Runager Kasper S. , Hastrup Anne C.S. , Charlton Adam 
Published: October 2021

Abstract
PurposeA large proportion of the European Union’s tomato crop is discarded during harvesting and there is a valorisation potential to recover proteins from this waste. MethodsCherry tomatoes were segregated into three separate components: juice, pomace (peels and skins), and seeds. The peels and skins, and seeds were separately hydrolyzed with carbohydrases to determine whether protein recovery could be increased. In addition, a strategy to fractionate the seeds using sequential washing of milled tomato seeds followed by low-speed centrifugation to remove the denser seed hulls and to collect the protein rich kernels remaining in suspension. ResultsThe protein content of the seeds was highest with 27.4% while the peels and skins contained 7.6%. Carbohydrase mediated hydrolysis revealed a minor increase in protein recovery from seeds by 10% using Filta 02L (cellulase, xylananse and β-glucanase), and the quantity of protein recovered from peels and skins increased by 210% using Tail 157 (pectinase, hemicellulase). The strategy to separate the seeds into two fractions, revealed that a higher proportion of the fibre (65%) was associated with the hull fraction compared with the original seeds (47%). A significant proportion of the fibre in this fraction was composed lignin although the protein contents between both fractions was similar ranging from 27.4% to 29.9%. ConclusionsThese results reveal that carbohydrases were quite effective in protein extraction from peels and skins, but not from seeds. An alternative strategy was developed to remove the seed hulls from the milled seeds and to collect a crude protein fraction where the protein content could be further improved.
Positional transcriptomics shed light on site-specific pathologies of the aorta
Authors: Romay Milagros , Ma Feiyang , Hernandez Gloria , Vandestienne Marie , Kimball Todd , Silvestro Michele , Hadi Tarik , Reyes Andrew , Ramirez Margaret , Bardin Nathalie , Blot-Chabaud Marcel , Pellegrini Matteo , Leroyer Aurelie , Ait-Oufella Hafid , Ramkhelawon Bhama , Iruela-Arispe M. Luisa 
Published: October 2021

Abstract
Pathologies of large vessels, such as atherosclerosis and aneurysms tend to emerge at specific sites. The consistency in their distribution suggests that a combination of unique local stressors, including both physical forces and specific gene expression profiles are confounding factors in disease etiology. Here we used single-cell RNA sequencing to identify signatures in smooth muscle cells with site-restricted predominance to uncover potentially relevant gene products. We showed that a small cohort of transcripts (5.5%) display preferential expression at specific sites of the vascular tree and in accordance with their embryological origin. Importantly, in silico studies revealed that several of these genes mapped to linkage studies for which no specific disease-causing candidates had been previously found. One of these candidates was Mcam/CD146 that mapped to the familial aortic aneurysm 1 (FAA1) locus identified by linkage analysis two decades ago. We showed that Mcam was significantly reduced in the AngII / hypercholesterolemic model of aortic aneurysm and further demonstrated that absence of the gene in mice resulted in larger lesions and accelerated death due to dissection. Our study highlighted site-specific alterations in gene expression profiles of smooth muscle cells that yield important insight in understanding site-specific vascular pathologies.
Quality Enhancement of Gamma Camera SPECT Images Via the Taguchi-Based Optimization of Their Minimum Detectable Difference And a V-Shaped Slit Gauge
Authors: Ke Ching-Hsiu , Liu Wan-Ju , Peng Bing-Ru , Pan Lung-Fa , Pan Lung-Kwang 
Published: October 2021

Abstract
Background: This study optimized the minimum detectable difference (MDD) of gamma camera SPECT images via the Taguchi analysis and an indigenous V-shaped slit gauge. The latter was customized to satisfy the Taguchi analysis’ quantitative requirements. Methods: The slit gauge MDD quantification of derived SPECT images was based on a pair of overlapped-peak proﬁles obtained from a tangent slice of the V-shaped slit with two adjacent peaks. Using the revised Student’s t-test with a multiplied constant, 1.96, the MDD was defined as the minimum distance between two peak centers, which deviation was large enough to ensure a 95% conﬁdence level of their separation. In total, eighteen combinations of six gamma camera scanned factors (A-F), namely (A) collimator, (B) detector to target distance, (C) total counts, (D) acquired energy width, (E) Matrix size, and (F) zoom of collected ROI with each of two or three levels were organized into 18 groups to collect the slit gauge images according to Taguchi L18 orthogonal array. Next, three well-trained radiologists ranked the scanned gauge images to derive the fish-bone-plot of signal-to-noise ratio (S/N, dB) and correlated ANOVA. Results: The quantified MDD was proposed to verify the optimal suggestion of gamma camera scanned protocol, and obtained the MDD as 8.44, 7.88, and 7.40 mm for the 2nd group of the original L18, conventional, and optimal presets, respectively. Conclusions: The optimal preset of gamma camera was achieved according to Taguchi analysis. The MDD-based approach was found more beneficial in evaluating the spatial resolution than the line pair/cm approach in routine quality control in this study.
Comparison of Performance of Recursive Partitioning Models and Parametric Imputation Models Based On Predictive Mean Matching In Multiple Imputation By Chained Equations, in Order to Impute The Missing Values of The Binary Outcome, in The Presence of An Interaction Effect
Authors: Javadi Sara , Bahrampour Abbas , Saber Mohammad Mehdi , Baneshi Mohammad Reza 
Published: October 2021

Abstract
Background: Among the new multiple imputation methods, Multiple Imputation by Chained ‎Equations (MICE) is a ‎popular ‎approach for implementing multiple imputations because of its ‎flexibility. Our main focus in this study ‎is to ‎compare the performance of parametric ‎imputation models based on predictive mean matching and ‎recursive partitioning methods ‎in multiple imputation by chained equations in the ‎presence of interaction in the ‎data.Methods: We compared the performance of parametric and tree-based imputation methods via simulation using two data generation models. For each combination of data generation model and imputation method, the following steps were performed: data generation, removal of observations, imputation, logistic regression analysis, and calculation of bias, Coverage Probability (CP), and Confidence Interval (CI) width for each coefficient Furthermore, model-based and empirical SE, and estimated proportion of the variance attributable to the missing data (λ) were calculated.Results: ‎We have shown by simulation that to impute a binary response in ‎observations involving an ‎interaction, manually interring the interaction term into the imputation model in the ‎predictive mean matching ‎model improves the performance of the PMM method compared to the recursive partitioning models in ‎ ‎multiple imputation by chained equations.‎ The parametric method in which we entered the interaction model into the imputation model (MICE-‎‎‎Interaction) led to smaller bias, slightly higher coverage probability for the interaction effect, but it ‎had ‎slightly ‎wider confidence intervals than tree-based imputation (especially classification and ‎regression ‎trees). Conclusions: The application of MICE-Interaction led to better performance than ‎recursive ‎partitioning methods in MICE, although ‎the user is interested in estimating the interaction and does not ‎know ‎enough about the structure of the observations, recursive partitioning methods can be ‎suggested to impute ‎the ‎missing values.
Construction of DCTPP1 Regulated ceRNA Network and it can be Used as a Potential Prognostic Marker for B7-H3 Antibody Therapy in Breast Cancer
Authors: Zhang Jiayin , Qu Yuan , Hou Tingting , Ge Wanbao , Zhang Shanyong 
Published: October 2021

Abstract
Background：Breast cancer is the most common female cancer in the world. Many scholars have devoted themselves to elucidating the pathogenesis of Breast cancer. In the past, dCTP pyrophosphatase 1 (DCTPP1) was thought to be overexpressed in several cancers. However, The mechanism by which DCTPP1 is regulated by non-coding RNA in Breast cancer and its relationship with immune infiltration have not been elucidated.Results：In this study, reliable databases from the Cancer Genome Atlas (TCGA) and Gene Expression Integration (GEO) showed that the expression of DCTPP1 in Breast cancer tissues was higher than in normal tissues. Bioinformatics analysis showed that DCTPP1 was negatively correlated with the expression of hsa-miR-125b-5p in BRCA,The expression of LncRNA LGALS8-AS1 is positively correlated with the expression of DCTPP1, and negatively correlated with the expression of hsa-miR-125b-5p. Therefore, we speculate that lncRNA LGALS8-AS1 promotes tumor progression through sponge hsa-miR-125b-5p and maintains the overexpression of DCTPP1 in Breast cancer. The survival analysis of 3 genes showed that the overexpression of DCTPP1 and LGALS8-AS1 is related to the poor prognosis of patients. By analyzing the relationship between DCTPP1 and immune infiltration, we found that the high copy of DCTPP1 is related to the infiltration of CD8+ T cells, and the high expression of DCTPP1 is related to the infiltration of CD4+ T cells in basal-like Breast cancer. DCTPP1 is positively correlated with the expression of immune checkpoint B7-H3.Conclusion: LNC LGALS8-AS1 can upregulate DCTPP1 by sponging with hsa-miR-125b-5p. DCTPP1 can be used as a new prognostic marker for B7-H3 antibody treatment of breast cancer.