bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic and clinical profiles in a large cohort of Chinese individuals with spinocerebellar ataxia type 1
Authors: Shao Ya-Ru , Dong Yi , Du Yi-Chu , Ma Yin , Wu Zhi-Ying 
Published: July 2022

Abstract
Background
Spinocerebellar ataxia type 1 (SCA1) is the third most common type of spinocerebellar ataxia in China. However, data about Chinese SCA1 patients are limited. This study aims to provide a detailed description of the phenotype and genotype of Chinese SCA1 individuals and guide the clinical practice.
Methods
A total of 110 SCA1 individuals from 79 pedigrees and 123 unrelated normal controls were recruited. Sanger sequencing, SfaNI restriction and TA cloning were used for the determination of the CAG repeat size and the intrinsic structure. Clinical data including scale scores, magnetic resonance imaging and electromyography were collected.
Results
Interrupted pathogenic alleles occurred in 5.5% of the SCA1 individuals and caused later disease onset (p < 0.0001). The average age at onset (AAO) was 38.1 ± 10.1 years, inversely correlated with the expanded CAG repeats (expCAGs), best fitted with exponential models. The mean ± SD of the longest uninterrupted expCAG repeat number was 48.3 ± 4.6 and could explain 65.4% of the AAO variance, making an increasement of 28.0% compared to the total CAG repeats. Longer disease duration and larger expCAG size were associated with higher scale scores and smaller brainstem relative volumes.
Conclusions
This study described the genetic and clinical profiles of Chinese SCA1 individuals, revealed the impact of interruptions in expCAGs to AAO and made an inter-population comparison.
Gene Expression based classification for identifying the significant genes in Non-small Cell Lung Cancer samples
Authors: Hiremath Neelambika B , P Dayananda , Latte Mrityunjaya V 
Published: July 2022

Abstract
Lung cancer is the most common and fatal type of cancer. NSCLC refers to any kind of epithelial lung cancer that isn't small cell lung cancer (SCLC), which results for 85 percent of lung cancer cases. Differential gene expression is a type of gene analysis in which the RNA sequence data from next-generation sequencing is shown for any quantitative changes in the experimental data set's levels. Transcriptome analysis focuses on obtaining transcript statistics from a gene transcript file with a fold change of genes on a normalised scale in order to find quantitative differences in gene expression levels between the reference genome and NSCLC samples. The data has a significant clinical influence in terms of identifying and characterising candidate genes in order to validate them. The resultant data set and the plot display depicts the significant candidate genes in the respective location which are significant in expressing their changes in samples of NSCLC. The samples are differentiated with prominent gene labels of NSCLC disease samples. The significant values of this quantized analysis on read count data of expression, data tables prompt the candidate genes data set of NSCLC samples also the results explain the differential expression of particular samples across samples from genders namely male and female. The current research experiment focuses on the computational difficulty of read, search, match, and data enrichment of unstructured data with the goal of classifying biomarkers based on differential expression results and pathways found by classification algorithms.
Defining Jacobian elliptic functions via nonpolynomial differential equations
Authors: Adjaï K. K. D. , Akande J. , Yehossou A. V. R. , Monsia M. D. 
Published: July 2022

Abstract
Contrary to the usual definition, we prove that a variety of definitions can be established for the Jacobi elliptic functions through existence theorems. Examples of illustrations are given using quadratic velocity-dependent differential equations and other types of equations.
A co-morbid patient of a phthisiologist, pulmonologist and cardiologist: focus on quality of life
Authors: Moiseeva M. V. , Mordyk A. V. , Bagisheva N. V. , Viktorova I. A. , Rudenko S. A. , Sitnikova S. V. 
Published: July 2022

The objective: to assess the impact of tuberculosis (TB), chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF) on the quality of life (QOL) and the need to manage each disease to improve the physical and mental components of QOL.Subjects and Methods. A simple prospective study included 80 patients, men – 53.9%, women – 46.1% who were divided into 3 groups: Group 1 – COPD (n = 35), median age [Me (25.0; 75.0 )] 56.0 (54.0; 60.0) years old, Group 2 – COPD + TB (n = 25), 58.0 (56.0; 59.0) years old, Group 3 – COPD + TB + CHF with preserved ejection fraction (n = 20), 60.0 (57.0; 64.0) years old. QOL was assessed using the SF-36 questionnaire. There were no statistically signifcant diﬀerences between the compared groups in terms of COPD severity and TB forms.Results. Low QOL indices were observed in TB + COPD + CHF Group assessed by all scores especially for physical (30 points) and social functioning (35 points) and general health (35 points). After 3 months of therapy aimed to manage all pathological conditions, a positive trend in QOL was achieved in TB + COPD + CHF Group in terms of physical and mental health scores.Conclusion. QOL in co-morbid patients is determined not only by the quality and severity of individual nosologies but also by their number. Comprehensive therapy improves the general subjective state of the patient that helps to improve adherence to drug therapy thereby increasing the chance of recovery.
Tuberculosis meningitis in HIV-positive and HIV-negative patients
Authors: Myakisheva T. V. , Lapshina I. S. 
Published: July 2022

The objective: to study the epidemiological rates of tuberculous meningitis (TM) in Smolensk and Kaluga Oblasts in 2015-2020.Subjects and Methods. 51 medical fles (Form no. 003-u) of patients with TM were analyzed, those patients were treated in in-patient settings in Smolensk and Kaluga Oblasts over a 6-year period (2015-2020).Results. The proportion of TM signifcantly correlates with the prevalence of HIV in 2 Oblasts (r = 0.953, p = 0.140 and r = 0.978, p = 0.095, respectively), which allows stating that HIV is the main risk factor for the development of TM. Tuberculous meningitis is more common in men (70.6%) of working age (94.1%), unemployed (60.8%), in combination with pulmonary tuberculosis (64.7%). Late diagnosis of TM is registered in ⅔ of cases; patients fail to undergo the mandatory minimum diagnostic examination. Among patients with HIV infection, TM more often develops in men (90%) of working age (100%), who do not have a regular job (80%), against the background of risk factors (drug addiction, hepatitis C, experience of incarceration), duration of HIV infection up to 10 years and recurrence of tuberculosis. Among HIV positive patients, a severe state, generalized forms of tuberculosis, including lung lesions with scanty bacterial discharge in sputum are registered in 100% of cases.
Social and demographic factors contributing to the spread of multiple drug resistant tuberculosis in the Russian Federation: a systematic review
Authors: Bykov I. A. 
Published: July 2022

The objective: to identify and systematize social and demographic risk factors for the development and spread of multiple drug resistant tuberculosis (MDR TB) in the Russian Federation (RF) by means of a systematic review of existing publications.Subjects and Methods. A systematic literature review was performed in accordance with the PRISMA criteria and included studies conducted in the Russian Federation from 2011 to 2021. Out of 2,861 publications, 26 studies were selected and analyzed.Results. According to the reviewed studies, patients with a history of incarceration, low income, unemployed, homeless, and patients suﬀering from alcohol and nicotine addiction are more susceptible to MDR TB. It was also found that MDR TB most often aﬀected people of working age with a clear trend towards a younger cohort. The inﬂuence of such factors as gender and location on MDR TB risk is not clear due to conﬂicting data and comparative strength of evidence in publications.
Latest ALICE results on J/$ψ$ photoproduction in ultra-peripheral collisions at the LHC
Authors: Herman Tomas 
Published: July 2022

Ultra-peripheral collisions (UPCs), studied using the ALICE detector,
allow us to investigate the low-\mathbf{x}𝐱
behavior of the gluon distribution of the colliding particles.Two new measurements of coherent J/\mathbf{\psi}𝛙
photoproduction cross section from Pb–Pb UPCs at
\mathbf{\sqrt{s_{NN}}}=5.02𝐬𝐍𝐍=5.02
TeV are presented: the first measurement of the
\mathbf{|t|}|𝐭|-dependence
of the cross section providing a new tool to investigate the transverse
gluonic structure at low Bjorken-\mathbf{x}𝐱
and a rapidity-differential measurement at midrapidity allowing us to
provide stringent constraints on nuclear gluon shadowing and saturation
models.In addition, prospects for heavy vector meson photoproduction
measurements in LHC Run 3 and 4 are presented.
A fully automated and generic spatial discretization procedure for cultivated landscapes with human-made landscape elements
Authors: Lagacherie Philippe , Dagès Cécile , Zadonina Ekatarina , Fabre Jean Christophe , Molénat Jérôme , Squividant Hervé , Thomas Bruce 
Published: July 2022

Abstract
Landscape discretization is an essential hydrological modeling pre-processing step that comprises the numerical representation of different geographical objects considered in the modeling process and the connections between these objects within a graph structure. GROOV'Scape is a new landscape discretization procedure that (i) produces an oriented tree of a wide range of human-made landscape elements, such as plots, hedges, benches, grass stripes, and ditches, (ii) is fully automated to avoid local drainage anomalies that require user corrections, and (iii) is fast enough to enable sensitivity analysis and the interactive production of mediated modeling landscape management scenarios. GROOV'Scape was tested on a small agricultural catchment in south-west France (Doazit catchment, 9.05 km2). The results show good agreement between the connections of areal units computed by GROOV'Scape and those observed in the field. The system exhibited substantial sensitivity to the user's choice of minimum area unit size and of digital elevation model (DEM) resolution, suggesting trial-and-error approaches are needed to reach the best landscape discretization for any given modeling purpose. Finally, we demonstrated the feasibility of using GROOV'Scape to find an optimum configuration of an infrastructure network with respect to a given ecosystem function.
Modeling infection from SARS-CoV-2 wastewater concentrations: promise, limitations, and future directions
Authors: Soller Jeffrey , Jennings Wiley , Schoen Mary , Boehm Alexandria , Wigginton Krista , Gonzalez Raul , Graham Katherine E. , McBride Graham , Kirby Amy , Mattioli Mia 
Published: July 2022

Abstract
Estimating total infection levels, including unreported and asymptomatic infections, is important for understanding community disease transmission. Wastewater can provide a pooled community sample to estimate total infections that is independent of case reporting biases toward individuals with moderate to severe symptoms and by test-seeking behavior and access. We derive three mechanistic models for estimating community infection levels from wastewater measurements based on a description of the processes that generate SARS-CoV-2 RNA signals in wastewater and accounting for the fecal strength of wastewater through endogenous microbial markers, daily flow, and per-capita wastewater generation estimates. The models are illustrated through two case studies of wastewater data collected during 2020–2021 in Virginia Beach, VA, and Santa Clara County, CA. Median simulated infection levels generally were higher than reported cases, but at times, were lower, suggesting a discrepancy between the reported cases and wastewater data, or inaccurate modeling results. Daily simulated infection estimates showed large ranges, in part due to dependence on highly variable clinical viral fecal shedding data. Overall, the wastewater-based mechanistic models are useful for normalization of wastewater measurements and for understanding wastewater-based surveillance data for public health decision-making but are currently limited by lack of robust SARS-CoV-2 fecal shedding data.
Radiological safety assessment of drinking water in Darjeeling hill and foothill areas: An experimental finding
Authors: Gazi Mahasin , Naskar Arindam Kumar , Mondal Mitali , Deb Argha 
Published: July 2022

Abstract
This study intends to shed light on the radiological quality of potable water in one of the most important hill stations, Darjeeling, and its surrounding foothill areas of West Bengal, India, which has not yet been explored. A radon concentration measuring study has been carried out in 62 water samples collected from both natural springs (SW) and tube wells (TW) in the above mentioned area using an AlphaGUARD radon monitor. The measured maximum and minimum radon levels of drinking water samples collected from natural springs are 13.04 Bq/l and 0.43 Bq/l respectively while those for tube wells are 71.02 Bq/l and 1.02 Bq/l respectively. The average radon activities in the two water sources separately and together are 2.88 ± 0.41 and 25.67 ± 3.89 and 10.96 ± 1.97 Bq/l respectively. This study reveals that the average radon concentrations of water samples from both sources in this area are much below the reference level of 100 Bq/l as prescribed by the WHO and EU Commission. The evaluated radon activities are used to determine inhalation, ingestion and then total annual effective dose (AED). The average total AEDs for the two types of water sources separately and together (SW + TW) are 7.86 ± 1.11, 70.07 ± 10.64 and 29.93 ± 5.37 μSv/y respectively. The evaluated average total AEDs for the two types of drinking water sources separately and together are also much below the reference limit of 100 μSv/y prescribed by the above mentioned two agencies. It suggests that the drinking water of this region is radiologically safe so far as water-borne radon hazards are concerned.
Improving the performance of the compound labyrinth weirs using an artificial ventilation approach
Authors: Idrees Anees Kadhum , Al-Ameri Riyadh 
Published: July 2022

Abstract
Compound labyrinth weirs are a new shape that is used to increase discharge. The air pockets behind the nappe flow are a big problem for the hydraulic performance of the labyrinth weirs. The study aims to use the artificial ventilation approach to improve the performance of the compound labyrinth weirs. The current study proposes artificial ventilation techniques to mitigate the pressure behind nappe flow and to improve the coefficient of discharge. The data have been collected for three cases (without vented (WV), with vented (V), and with suction (S)). The results indicated that the pressure distribution behind nappe flow was not similar for all tested points. Also, a slight negative pressure was observed when H′t/P′ was measured between 0.1 and 0.2. Artificial ventilation with a suction pump was the best technique to reduce pressure behind the nappe flow when compared with a vent pipe device. Furthermore, the compound coefficient of discharge (Cdc) using the suction and vent devices was greater than the compound coefficient of discharge (Cdc) without the vent devices by 10% and 4.5%, respectively. The empirical equations were provided to predict the compound coefficient of discharge when pressure data behind nappe flow is available.
Water footprint of food production and consumption in China
Authors: Zhang Yu , Tian Qing , Yu Wei 
Published: July 2022

Abstract
A comprehensive understanding of water for food production and consumption is an essential part of achieving sustainable water use. Water footprint is an effective tool to analyze the problems of water and food security. The study analyzed the food production and consumption water footprint of 12 major products from the points of spatial, temporal and structure, including plant-based food and animal food. From 2001 to 2019, the production and consumption water footprint presented an upward trend and almost a three-fold difference between the two. In terms of spatial pattern, the high values were mainly concentrated in eastern China. The water stress level and water footprint of food production basically coincided. However, there seemed to be no significant correlation with water footprint of food consumption. Referring to the great variation in water structure, green water was the dominant not only in food production, but also in consumption. For food structure, grain production and consumption contributed the most to the overall water footprint. Finally, the study put forward suggestions for sustainable food production and consumption. The research is helpful to realize green and efficient water management in the food production process and rational consumption, ensuring food and water security.
HIGHLIGHTS The water footprint of food production and consumption of 12 major foods is explored from three aspects: spatial-temporal differences, water resources structure and food structure. There was a three-fold difference between the water footprint of food production and consumption. Green water accounted for the highest proportion of food production and consumption. Food and vegetable production and food and meat consumption had a high water footprint.
Annual runoff forecast based on a combined EEMD-ARIMA model
Authors: Zhang Xianqi , Lu Yaohui , Zhu Guoyu , Wu Xilong , Zhao Dong , Duan Bingsen 
Published: July 2022

Abstract
In order to improve the accuracy of hydrological models for runoff prediction and to solve the problem of disappearing time series data break or data fluctuation due to the extension of time series, monthly runoff data from 1996 to 2015 at the Cuntan hydrological station in the upper reaches of the Yangtze River are used as the basis to develop the annual runoff prediction. Prediction of the five Intrinsic Mode Function (IMF) components and one residual from the Ensemble Empirical Mode Decomposition (EEMD) decomposition used different models of Auto-Regressive Integrated Moving Average Model (ARIMA). Except for the small errors in the first two components, the rest of the ARIMA models are highly fitted. For prediction of runoff in 2014 and 2015 based on EEMD-ARIMA model, the relative errors are 6.26% and −1.17%. Compared with the single ARIMA model and Back Propagation (BP) model, the prediction effect is better, and the prediction method is simple and clear. It is shown that the combined EEMD-ARIMA model is an efficient and useful method for the prediction of annual runoff volume.
HIGHLIGHTS The study used 240 months of runoff data from Cuntan hydrological station in the upper reaches of the Yangtze River. An annual runoff prediction model based on EEMD-ARIMA hybrid method is proposed. The EEMD-ARIMA model outperforms the EMD-ARIMA, BP, and LSTM models.
Optimization, kinetics, and thermodynamics aspects in the biodegradation of reactive black 5 (RB5) dye from textile wastewater using isolated bacterial strain, Bacillus albus DD1
Authors: Srivastava Ankita , Rani Radha , Kumar Sushil 
Published: July 2022

Abstract
This study is aimed to model and optimize the decolorization of reactive black 5 (RB5) dye using Bacillus albus DD1. The response surface methodology (RSM) along with rotatable central composite design (rCCD) is used to optimize the response, % decolorization with four input variables: (i) pH (5–9), initial dye concentration (50–500 ppm), the composition of yeast extract as nitrogen source (0.2–1%) and amount of bacterial inoculum (5–25% v/v). The % decolorization is predicted to be ≈ 98% at the optimized condition (pH = 7.6, dye concentration = 200 ppm, bacterial inoculum = 20 v/v% and yeast extract = 0.4%). Furthermore, the kinetics and thermodynamics of RB5 degradation are also determined. The kinetic order of biodegradation of RB5 is found to follow first-order kinetics with a kinetic rate constant = 0.0384. The activation energy, Ea and frequency factor, A values are calculated as 34.46 kJ/mol and 24,343 (1/Day). A thermodynamic study is also carried out at different temperatures (298 K, 308 K, 310 K, 313 K, and 318 K) using optimized conditions. The values of the and ΔS are found to be +30.79 kJ/mol, and −0.1 kJ/mol/K, respectively using the Eyring–Polanyi equation. The values of ΔG are also calculated at all temperatures.
Apples and Oranges: An Indicator for Assessing the Relative Impact of Library Events
Authors: Jackson John , Andrade Raymundo , Raby Carol , Rosen Rhonda 
Published: July 2022

This article details one library’s attempt to create a simple assessment method for evaluating the relative engagement of program attendees across a variety of events. The indicator--a combination of perceived level of engagement and calculated level of certainty--can be used alongside other metrics to give a fuller view of overall impact of library programming. By conducting this study, the authors created a method by which to quickly assess and prioritize the most and least impactful events within a particular set.
Online Guided Self-help Cognitive Behavioral Therapy With Exposure to Anxiety and Problem Solving in Type 1 Diabetes Mellitus: Case Study
Authors: Kern Dorian , Ljótsson Brjánn , Bonnert Marianne , Lindefors Nils , Kraepelien Martin 
Published: July 2022

BackgroundType 1 diabetes mellitus (T1DM) is dependent on self-care to avoid short- and long-term complications. There are several problem areas in diabetes that could be addressed by psychological interventions, such as suboptimal problem-solving strategies and fear of hypoglycemia. There is empirical support for a few psychological interventions, most often cognitive behavioral therapy, with various treatment aims. However, these interventions are largely unavailable in regular diabetes health care. Online guided self-help cognitive behavioral therapy could help achieve greater outreach.ObjectiveWe tested a manualized treatment in the early stage for further development, with the long-term aim to increase access to care. The purpose of this report was to show the potential of this newly developed online intervention by describing 2 illustrative cases.MethodsAn online guided self-help cognitive behavioral therapy protocol featuring problem solving and exposure was developed. The treatment was administered from a secure online platform and lasted for 8 weeks. Case 1 was a male participant. He had a number of diabetes-related complications and was worried about his future. He reported that he had a general idea that he needed to change his lifestyle but found it difficult to get started. Case 2 was a female participant. She had fear of hypoglycemia and unhelpful avoidance behaviors. She kept her blood glucose levels unhealthily high in order to prevent hypoglycemic episodes. Furthermore, she avoided contact with diabetes health care.ResultsThe 2 participants showed clinically significant improvements in their most relevant problem areas. In case 1, the participant’s blood glucose levels reduced, and he was able to establish healthy routines, such as increase physical exercise and decrease overeating. In case 2, the participant’s fear of hypoglycemia greatly decreased, and she was able to confront many of her avoided situations and increase necessary visits to her diabetes clinic. Treatment satisfaction was high, and no adverse events were reported.ConclusionsIt is possible to deliver a cognitive behavioral therapy intervention aimed at problem areas in diabetes online. Problem solving appears to help with problems in everyday routines and lifestyle choices. Exposure to aversive stimuli appears to be a plausible intervention specifically aimed at the fear of hypoglycemia. Larger and controlled studies are needed.