bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy And Renal Safety of Febuxostat In Management of Gout And Chronic Kidney Disease: A Retrospective Study
Authors: Zhang Peiyu , Chen Mo , Wang Jundi , Hu Shunjie , Lu Xiaoyong , Wu Huaxiang 
Published: December 2021

Abstract
Background: Elevated serum urate levels are associated with renal deterioration of chronic kidney disease (CKD). Whether urate-lowering treatment with febuxostat can improve renal function or attenuate the decline of the estimated glomerular filtration rate (eGFR) is controversial. The current study sought to explore efficacy and renal safety of febuxostat in gout patients with CKD and explore factors correlated with target serum urate (sUA).Methods: The current study was a single-center retrospective study comprising male gout patients with CKD. sUA, the rate of sUA < 360 µmol/L and renal safety were analyzed in subjects who had been treated with febuxostat for more than 44 weeks. Factors correlated with target sUA were explored by logistic regression analysis. Results: A total of 87 patients who had been diagnosed with gout and CKD met the inclusion criteria for the study. Twenty-five (28.73%) patients presented with stage 2 CKD, 58 (66.67%) were diagnosed with stage 3 CKD and 4 (4.60%) were diagnosed with stage 4 CKD. Analysis of sUA level showed a significant reduction at week 44~ (598.22 ± 95.11 µmol/L vs. 429.76 ± 123.45 μmol/L; P < 0.05), and the RAT increased to 34.50%. eGFR level of all patients was 52.37 ± 11.74 ml/min/1.73cm2 at baseline and 56.51 ± 15.01 ml/min/1.73cm2 at week 44~ (P < 0.05). The findings showed improvement of eGFR level in different stages of CKD, mainly in stage 3 CKD patients (P < 0.05). After stratification based on risk factors of hypertension, diabetic mellitus, hyperlipidemia and the usage of Non-Steroidal Anti-inflammatory Drugs (NSAIDs), the findings showed that eGFR levels of patients with ≤ 1 risk factors showed significant improvement (P < 0.05). Logistic regression analysis indicated that baseline sUA level and acute arthritis were correlated with the RAT in gout and CKD patients treated with febuxostat.Conclusions: In this retrospective study, febuxostat demonstrated effective and renal safety in gout patients with CKD. Baseline sUA level and acute arthritis may affect achieving of target sUA.
Modulation of hepatic mRNA-miRNA panel linked to NAFLD/NASH Hippo signaling and gut microbiota after administration of kefir in Non-Alcoholic Steatohepatitis Rat Model
Authors: Salah Noha ,   Marwa Matboli1, Mansour Amal , Magd Nagwa M Abo El , Hasanin Amany Helmy , Hassan Mohamed Kamel , Eissa Sanaa 
Published: December 2021

Abstract

Non-alcoholic steatohepatitis (NASH) is the clinically aggressive variant of non-alcoholic fatty liver disease. Hippo pathway dysregulation can contribute to NASH development and progression. The use of probiotics is effective in NASH management. Our aim is to investigate the efficacy of kefir Milk in NASH management via modulation of hepatic mRNA-miRNA based panel linked to NAFLD/NASH Hippo signaling and gut microbita regulated genes which was identified using bioinformatics tools. Firstly, we analyzed mRNAs (SOX11, SMAD4 and AMOTL2), and their epigenetic regulator (miR-6807) followed by validation of target effector proteins (TGFB1, IL6 and HepPar1). Molecular, biochemical, and histopathological, analyses were used to evaluate the effects of kefir on high sucrose high fat (HSHF) diet -induced NASH in rats. We found that administration of Kefir proved to prevent steatosis and development of the inflammatory component of NASH. Moreover, Kefir improved liver function and lipid panel. At the molecular level, kefir down-regulated the expression of miR 6807-5p with subsequent increase in the expression of SOX 11, AMOTL2 associated with downregulated SMAD4, resulting in reduction in the expression of the inflammatory and fibrotic markers, IL6 and TGF-β1 in the treated and prophylactic groups compared to the untreated rats. In conclusion, Kefir suppressed NASH progression and improved both fibrosis and hepatic inflammation. The produced effect was correlated with modulation of SOX11, SMAD4 and AMOTL2 mRNAs) – (miR-6807-5p) – (TGFB, IL6 and, HepPar1) expression.
Determination of Phytoextraction and Hyperaccumulating Capacity of Artemisa Dracunculus L and Erigeron Canadensis Plants of The Asteraceae Family.
Authors: kocaman ayhan 
Published: December 2021

Abstract
One of its key aspects is the performance of plant extraction, the end-use of by-products and the recognition of its overall economic viability. Overall, phytoextraction seems to be a very promising technology for the removal of metallic pollutants from the environment and is being commercialized. In genetic engineering, support for the current plant phytoremedetion list plays a major role. Because it makes it possible to insert which genes in genetically modified plants the plant to metabolize a specific pollutant. In the sequence to be used for phytoremediation. In Turkey, the steel industry and its subindustries operate intensively in Karabuk province. It is located in the western region of the Black Sea and grew rapidly. For this reason, plants that grow in areas and soil samples around their roots are with anthropogenic pollution were taken in connection with the steel industry and the building industry where the waste is discharged. For guidance, samples of plants and soils of the same species were collected from orchards where industrial pollution and agricultural activity have not occurred, in order to worth comparing them. Thus, the properties of the hyperaccumulator and accumulation were investigated. These are Artemisa Dracunculus L (AD) and Erigeron Canadensis (EC) in the Asteraceae family. As the BAF shoot values of the AD plant are Pb and Se > 1, this is an accumulator plant for Pb and Se. At the EC plant, this is an accumulator for Pb, as only Pb>1. Since Cr, Hg, Sn and Cl <1, these elements are presumed to be exclusionary. Also, the two plants can be classified as potentially Ni-hyperaccumulatory plants because Ni is greater than 10 (Ni>10). BAF root of both plants has high phytostabilization capacity for CD from CD>1. The concentrations of Cd TF >1 in the leaf, stem and root indicate high phytoextraction efficiency and it can be said that it will exhibit high activity in soils contaminated by the CD. In addition, due to the fact that the Cd concentrations of both plants are close to the hyperaccumulator plant BAF, studies can be carried out to evaluate them as Cd-hyperaccumulator plant in future studies.
Thermodynamics of Organic Electrochemical Transistors
Authors: cucchi matteo , Weissbach Anton , Bongartz Lukas , Tseng Hsing , Kleemann Hans , Kantelberg Richard , Leo Karl 
Published: December 2021

Abstract
Bioelectronics which bridge the gap between conventional electronics and biological systems are actively researched due to their fascinating perspectives in healthcare and other fields. A key element of future bioelectronics is the organic electrochemical transistor (OECT) that, by employing a mixed ion-electron conducting materials, can perform switching tasks in electrolytic environments and serve as sensoric or actoric element. OECTs differ substantially from their inorganic field-effect counterparts, mainly due to their electrochemical, rather than electrostatic, gate operation principle. However, the working mechanism of OECTs is modeled as the one of the field-effect transistor: this approach not only fails to give quantitative agreement with experimental observation but also ignores the material properties of the channel and the chemical dynamics that stem for the operation of the device. Here, we present a new comprehensive unified model that can explain the behavior of OECTs across a broad range of materials, designs, and operation regimes. We treat the polymeric channel as a thermodynamic binary system and show that the entropy of mixing is the major driving force behind the operation of the OECT. We are able to quantify the entropic and enthalpic interactions between charged species for a variety of materials and solvents and harness this knowledge to provide guidelines for material modeling and insights for device fine-tuning for targeted applications. Finally, our thermodynamic model provides a description of the intrinsic origin of the ubiquitous hysteretic behavior of OECTs.
Sentiment Prediction of Geotagged Tweets During Lockdown and Unlock Phases in India: A Deep Learning Based Approach
Authors: Kumar Vaibhav 
Published: December 2021

Abstract
India is a hotspot of the COVID-19 crisis. During the first wave several lockdowns (L) and gradual unlock (UL) phases were implemented by the Government of India (GOI) to curb the virus spread. Twitter, a social media platform, was extensively used by citizens to react to various events and topics related to resource management and virus spread that varied geographically. This paper attempts to capture those variations by analyzing the sentiments of geotagged tweets during L and UL phases, which remains a research gap. The sentiments were predicted through a proposed hybrid Deep Learning (DL) model which leverages the strengths of BiLSTM and CNN model classes. The model was trained on a freely available Sentiment140 dataset and was tested over manually annotated COVID-19 related tweets from India. The model classified the tweets with high accuracy of around 90%, and analysis of geotagged tweets during L and UL phases reveal significant geographical variations. The findings can aid decision-makers in analyzing citizen reactions toward the resources and events during an ongoing pandemic, which can result in better resource planning.
Ultra-sound Shear Wave Elastography Tissue Stiffness and Thickness Assessment After Adjuvant Radiotherapy for Breast Cancer Treatment; An Exploratory Study.
Authors: Hunt Catherine , Bourke Anita , Dass Joshua , Corica Tammy , Hardwick Sueli , Jacques Angela , Busch Greta , DeJong Helen 
Published: December 2021

Abstract
Purpose: This research investigated the feasibility of using B-mode ultrasound with shear-wave elastography (SWE) to evaluate the structural and mechanical properties of multiple tissue layers in the pectoral region of women with chronic radiation fibrosis following breast cancer treatment. Method: Nine women between one and five years post unilateral conventional fractionated radiotherapy were evaluated. Both ultrasound and SWE were used to examine the thickness and stiffness of skin, subcutaneous adipose tissue, fascia and muscle in both their irradiated and non-irradiated sides. Linear mixed models were conducted to examine statistical differences in tissue thickness and stiffness between irradiated and non-irradiated sides with the arm resting by the side and also in abduction. Results: Significant differences were found between irradiated and non-irradiated tissues. Irradiated skin was significantly thicker (p=0.020) and stiffer (p<0.001) with the arm by the side. Irradiated subcutaneous adipose tissue was significantly thinner (p<0.001). Irradiated fascia and muscles thinned significantly with the arm moved out to abduction position. Irradiated pectoral muscle was significantly stiffer (p=0.004), this stiffness amplified with arm abduction (p<0.001) where the muscle thinned significantly (P<0.001).Conclusion: Ultrasound with SWE shows potential to provide novel objective evaluation of radiation induced soft tissue fibrosis at multiple tissue layers in the pectoral region. Tissue thickness changes in irradiated tissue were evident in ultrasound images. Quantifying these tissue changes supports research development and introduction of clinical interventions to ameliorate the symptoms of morbidity that is currently considered irreversible.
Assessing the Reliability of Global Monsoon Low Pressure System Track Datasets for the East Asian Monsoon
Authors: Zhang Yanhong , Shi Xiaohui , Wen Min 
Published: December 2021

Abstract
Limited by the lack of atmospheric observation data over the ocean and the absence of a comprehensive set of track data for monsoon low pressure systems (MLPSs), an in-depth understanding of the activity of East Asian MLPSs has not been acquired. In recent years, advancements in satellite remote sensing and data assimilation techniques have enabled the creation of numerous high-resolution global reanalysis datasets. Additionally, with the improvement of tracking algorithms, two sets of global MLPS track data (HB2015 and VB2020) have been published. This study seeks to understand the fidelity of the two datasets with respect to the East Asian monsoon. The genesis location, movement path, and three-dimensional structure of the East Asian MLPSs obtained using HB2015 and VB2020 are compared, and the atmospheric circulation conditions of typical MLPSs are analyzed. The results show that both datasets are able to generate MLPSs with identical structure for the East Asian Monsoon, and they provide similar results in terms of the location and monthly frequency. Compared to the HB2015, the VB2020 adopts a more stringent set of thresholds for the determination of the MLPS genesis and extinction and a more rigorous tracking algorithm. Therefore, it yields a lower count of MLPSs with significantly shorter lifetimes. However, the MLPSs identified by the VB2020 all have cyclonic circulations in the proximity of their central areas as they continue their movement. In this sense, the results generated by the VB2020 are more consistent with the observed MLPSs and hence are more reliable. However, the tracking can end prematurely with this dataset.
Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
Authors: Wiemker Veronika , Neufeld Maria , Bunova Anna , Danquah Ina , Ferreira-Borges Carina , Konigorski Stefan , Rastogi Ankit , Probst Charlotte 
Published: December 2021

Background
Accurate and user-friendly assessment tools for quantifying alcohol consumption are a prerequisite for effective interventions to reduce alcohol-related harm. Digital assessment tools (DATs) that allow the description of consumed alcoholic drinks through animation features may facilitate more accurate reporting than conventional approaches.

Objective
This review aims to identify and characterize freely available DATs in English or Russian that use animation features to support the quantitative assessment of alcohol consumption (alcohol DATs) and determine the extent to which such tools have been scientifically evaluated in terms of feasibility, acceptability, and validity.

Methods
Systematic English and Russian searches were conducted in iOS and Android app stores and via the Google search engine. Information on the background and content of eligible DATs was obtained from app store descriptions, websites, and test completions. A systematic literature review was conducted in Embase, MEDLINE, PsycINFO, and Web of Science to identify English-language studies reporting the feasibility, acceptability, and validity of animation-using alcohol DATs. Where possible, the evaluated DATs were accessed and assessed. Owing to the high heterogeneity of study designs, results were synthesized narratively.

Results
We identified 22 eligible alcohol DATs in English, 3 (14%) of which were also available in Russian. More than 95% (21/22) of tools allowed the choice of a beverage type from a visually displayed selection. In addition, 36% (8/22) of tools enabled the choice of a drinking vessel. Only 9% (2/22) of tools allowed the simulated interactive pouring of a drink. For none of the tools published evaluation studies were identified in the literature review. The systematic literature review identified 5 exploratory studies evaluating the feasibility, acceptability, and validity of 4 animation-using alcohol DATs, 1 (25%) of which was available in the searched app stores. The evaluated tools reached moderate to high scores on user rating scales and showed fair to high convergent validity when compared with established assessment methods.

Conclusions
Animation-using alcohol DATs are available in app stores and on the web. However, they often use nondynamic features and lack scientific background information. Explorative study data suggest that such tools might enable the user-friendly and valid assessment of alcohol consumption and could thus serve as a building block in the reduction of alcohol-attributable health burden worldwide.

Trial Registration
PROSPERO International Prospective Register of Systematic Reviews CRD42020172825; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020172825
Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review
Authors: Smrke Urška , Mlakar Izidor , Lin Simon , Musil Bojan , Plohl Nejc 
Published: December 2021

Background
Cancer survivors often experience disorders from the depressive spectrum that remain largely unrecognized and overlooked. Even though screening for depression is recognized as essential, several barriers prevent its successful implementation. It is possible that better screening options can be developed. New possibilities have been opening up with advances in artificial intelligence and increasing knowledge on the connection of observable cues and psychological states.

Objective
The aim of this scoping meta-review was to identify observable features of depression that can be intercepted using artificial intelligence in order to provide a stepping stone toward better recognition of depression among cancer survivors.

Methods
We followed a methodological framework for scoping reviews. We searched SCOPUS and Web of Science for relevant papers on the topic, and data were extracted from the papers that met inclusion criteria. We used thematic analysis within 3 predefined categories of depression cues (ie, language, speech, and facial expression cues) to analyze the papers.

Results
The search yielded 1023 papers, of which 9 met the inclusion criteria. Analysis of their findings resulted in several well-supported cues of depression in language, speech, and facial expression domains, which provides a comprehensive list of observable features that are potentially suited to be intercepted by artificial intelligence for early detection of depression.

Conclusions
This review provides a synthesis of behavioral features of depression while translating this knowledge into the context of artificial intelligence–supported screening for depression in cancer survivors.
Universal Subsidized Continuous Glucose Monitoring Funding for Young People With Type 1 Diabetes: Uptake and Outcomes Over 2 Years, a Population-Based Study
Authors: Johnson Stephanie R. , Holmes-Walker Deborah J. , Chee Melissa , Earnest Arul , Jones Timothy W. 
Published: December 2021

OBJECTIVE
Continuous glucose monitoring (CGM) is increasingly used in type 1 diabetes management; however, funding models vary. This study determined the uptake rate and glycemic outcomes following a change in national health policy to introduce universal subsidized CGM funding for people with type 1 diabetes aged &lt;21 years.

RESEARCH DESIGN AND METHODS
Longitudinal data from 12 months before the subsidy until 24 months after were analyzed. Measures and outcomes included age, diabetes duration, HbA1c, episodes of diabetic ketoacidosis and severe hypoglycemia, insulin regimen, CGM uptake, and percentage CGM use. Two data sources were used: the Australasian Diabetes Database Network (ADDN) registry (a prospective diabetes database) and the National Diabetes Service Scheme (NDSS) registry that includes almost all individuals with type 1 diabetes nationally.

RESULTS
CGM uptake increased from 5% presubsidy to 79% after 2 years. After CGM introduction, the odds ratio (OR) of achieving the HbA1c target of &lt;7.0% improved at 12 months (OR 2.5, P &lt; 0.001) and was maintained at 24 months (OR 2.3, P &lt; 0.001). The OR for suboptimal glycemic control (HbA1c ≥9.0%) decreased to 0.34 (P &lt; 0.001) at 24 months. Of CGM users, 65% used CGM &gt;75% of time, and had a lower HbA1c at 24 months compared with those with usage &lt;25% (7.8 ± 1.3% vs. 8.6 ± 1.8%, respectively, P &lt; 0.001). Diabetic ketoacidosis was also reduced in this group (incidence rate ratio 0.49, 95% CI 0.33–0.74, P &lt; 0.001).

CONCLUSIONS
Following the national subsidy, CGM use was high and associated with sustained improvement in glycemic control. This information will inform economic analyses and future policy and serve as a model of evaluation diabetes technologies.
Апаратна реалізація модулів хешування на базі алгоритмів CRC-32 і Adler-32
Authors: Гедеон А. О. , Гапак О. М. 
Published: December 2021

У статті представлені результати дослідження хеш-функцій. Для досягнення оптимальної швидкодії та надійності захисту інформації обрана апаратна реалізація алгоритмів хешування. Саме вона гарантує цілісність розробки та виключає можливість перехоплення інформації.

Розроблено апаратний модуль хешування на основі алгоритмів CRC-32 і Adler-32, який відрізняється від існуючих розробок відсутністю мікропрограм та запрограмованих блоків. Роботою модуля керують спеціальні блоки керування, що базуються на автоматах Мура. Спроектований модуль представляє собою цілісну розробку, яка включає сукупність блоків, що відповідають за конкретні етапи обчислень. Перебачена можливість вдосконалення та додавання нових алгоритмів хешування.

Запропоновані алгоритми хешування забезпечують швидкодію обчислення контрольної суми, що в сотні разів перевищує можливості програмних додатків. Імовірність злому апаратного блоку вважається мінімальною, адже передбачає процес повного розбору пристрою на складові та прорахунок всіх можливих значень, що поступають від складових модуля.
Встановлено, що апаратна реалізація алгоритму Adler-32 виконує обчислення контрольної суми для вхідного повідомлення однакової довжини приблизно в 1,481 разів швидше, ніж апаратний модуль CRC-32.

Практична цінність отриманих у роботі результатів полягає в тому, що запропонований спосіб реалізації алгоритмів дозволяє оцінити можливості та переваги апаратних розробок, забезпечити цілісність та захищеність пристрою хешування, дослідити різницю між програмними та апаратними розробками, в тому числі й у відношенні часових затрат на проектування, та забезпечити максимальну швидкодію в обчисленні хеш-сум.
Service Quality and Client’s Satisfaction: A Case Study among Employees at a Government Agency in Kota Samarahan towards Counter Services in Urban Transformation Centre (UTC) Kuching
Authors: Andrew Leviana , Abdul Latiff Siti Fatimah , Ali Haniz Izyan Izzati 
Published: December 2021

The study of service quality and clients’ satisfaction has been used by organisations to deliver better services to their clients. While many studies have been done on this topic from the perspective of the public towards the government service, there were few emphases from the perspective of the government servants (G2G) towards the government services offered by other government agencies. This study aimed to investigate the relationship between service quality and clients’ satisfaction among employees at a government agency towards counter services at Urban Transformation Centre (UTC) Kuching, Sarawak. The study includes all five elements of Service Quality Dimensions (SERVQUAL) which were Tangible, Reliability, Responsiveness, Assurance, and Empathy. This study includes all employees of a government agency in Kota Samarahan, Sarawak. Questionnaires were distributed to respondents through Google Form with a returned rate of 88%. It was found that empathy and responsiveness variables had a strong and positive correlation with Clients’ Satisfaction while Assurance, Reliability, and Tangibility had a moderate and positive correlation with Clients’ Satisfaction. These findings implied that clients were more satisfied with services that were handled with care and discretion as well as quickly resolving unexpected issues thus providing insights to government agencies to improve their services.
Keywords: Service Quality, Customer Satisfaction, Tangibles, Reliability, Responsiveness, Assurance, Empathy