bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanisms underlying the therapeutic effects of banxiaxiexin decoction in treating vascular dementia based on network pharmacology and molecular docking
Authors: Liang Shuzhi , Liu Leilei , Zu guoxiu , Liu Xijian , Zhang Yan 
Published: October 2023

Abstract
Background
The Banxiaxiexin decoction constitutes a prevalent Traditional Chinese Medicine (TCM) formulation employed for the therapeutic intervention of vascular dementia. Despite its routine clinical application, the underlying molecular mechanisms that mediate its pharmacological efficacy remain elusive. To address this lacuna, the present study employed a multi-pronged analytical approach involving network pharmacology and molecular docking techniques.
Methods
Active phytochemical constituents and relevant pharmacological targets of Banxiaxiexin decoction were elucidated using data procured from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Targets germane to vascular dementia were aggregated from a comprehensive range of databases, including GeneCards, Online Mendelian Inheritance in Man (OMIM), Drugbank, Pharmacogenomics Knowledge Base (PharmGKB), and Therapeutic Target Database (TTD). A Protein-Protein Interaction (PPI) network was constructed to isolate core targets. Subsequent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were executed using METASCAPE. Tissue and organ-specific distribution of these targets were subsequently assessed. Molecular docking protocols were employed to evaluate the interactions between the identified potential targets and active constituents. Molecular dynamics simulations were conducted to further scrutinize the optimal core protein–compound complexes identified through molecular docking.
Results
A total of 133 active compounds and 64 putative targets of Banxiaxiexin decoction were identified. Topological analyses of the PPI network revealed a subset of 20 core targets. GO and KEGG pathway enrichment analyses substantiated that Banxiaxiexin decoction modulates genes implicated in pathways associated with oncogenesis, lipid metabolism and atherosclerosis, as well as Alzheimer's disease signaling pathways. Both molecular docking and molecular dynamics simulations affirmed a robust binding affinity between the active compounds and the isolated targets.
Conclusions
The present study adeptly elucidates the active components, prospective targets, and putative pathways implicated in the therapeutic efficacy of Banxiaxiexin decoction for vascular dementia. The data presented herein offer a novel methodological framework for the future investigation of the molecular mechanisms by which Banxiaxiexin decoction exerts its therapeutic effects. Furthermore, the delineated active constituents may serve as a propitious reservoir for subsequent drug development endeavors targeting vascular dementia.
Comprehensive rehabilitation of preschool children with attention deficit hyperactivity disorder
Authors: Berezhanskaya S. B. , Afonin A. A. , Lebedenko A. A. , Vostrykh N. N. , Sozaeva D. I. , Kravchenko L. V. , Popova N. N. 
Published: October 2023

Introduction. High incidence and great social significance of attention deficit hyperactivity disorder (ADHD) in preschool children determines the search and development of new options for their rehabilitation.Aim. To analyse the patient outcomes of the most up-to-date treatment and rehabilitation complex (biofeedback, sensory integration, psychological and speech, physiotherapeutic effects) and the possibility of its widespread practical application for the rehabilitation of preschool children with ADHD.Materials and methods. A total of 63 children (33 boys and 30 girls) aged 5–8 years were included in the prospective study. Patients were divided into two groups: Group I – 34 children aged 5 years – 5 years 11 months, 29 days with ADHD, and Group II – 29 children aged 6 years – 6 years 11 months, 29 days with ADHD. The follow-up period for each patient was 15 months. The children were examined by a neurologist, rehabilitation therapist, neuropsychologist, and speech pathologist with an assessment of active attention measures using the B. Bourdon scale for children of Group I and the Toulouse-Pieron scale (adapted by L.A. Yasyukova) for children of Group 2. Parents were surveyed and questioned using special questionnaires. Results. Before initiation of treatment, all children were diagnosed with active attention disorders of isolated (26.5 and 23.8%) and mixed (73.5 and 62.5%) nature in Groups I and II, respectively. After the rehabilitation activities complex was provided, a significant decrease in not only isolated, but also mixed attention disorders in children with ADHD was detected in both groups. Evaluation of electroencephalograms after the rehabilitation activities complex showed a decrease of theta power and an increase of low beta frequency power in 18.7% of children of Group I and in 16.2% of children of Group II, which indicated an improvement in neurodynamic functions and sufficient cognitive potential in that cohort of children.Conclusion. Early start and prolonged use of the proposed rehabilitation complex will enhance learning ability and prevent school and social maladjustment of children with ADHD.
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
Authors: Liu Kui , Li Linyi , Ma Yifei , Jiang Jun , Liu Zhenhua , Ye Zichen , Liu Shuang , Pu Chen , Chen Changsheng , Wan Yi 
Published: October 2023

Background
Machine learning (ML) models provide more choices to patients with diabetes mellitus (DM) to more properly manage blood glucose (BG) levels. However, because of numerous types of ML algorithms, choosing an appropriate model is vitally important.

Objective
In a systematic review and network meta-analysis, this study aimed to comprehensively assess the performance of ML models in predicting BG levels. In addition, we assessed ML models used to detect and predict adverse BG (hypoglycemia) events by calculating pooled estimates of sensitivity and specificity.

Methods
PubMed, Embase, Web of Science, and Institute of Electrical and Electronics Engineers Explore databases were systematically searched for studies on predicting BG levels and predicting or detecting adverse BG events using ML models, from inception to November 2022. Studies that assessed the performance of different ML models in predicting or detecting BG levels or adverse BG events of patients with DM were included. Studies with no derivation or performance metrics of ML models were excluded. The Quality Assessment of Diagnostic Accuracy Studies tool was applied to assess the quality of included studies. Primary outcomes were the relative ranking of ML models for predicting BG levels in different prediction horizons (PHs) and pooled estimates of the sensitivity and specificity of ML models in detecting or predicting adverse BG events.

Results
In total, 46 eligible studies were included for meta-analysis. Regarding ML models for predicting BG levels, the means of the absolute root mean square error (RMSE) in a PH of 15, 30, 45, and 60 minutes were 18.88 (SD 19.71), 21.40 (SD 12.56), 21.27 (SD 5.17), and 30.01 (SD 7.23) mg/dL, respectively. The neural network model (NNM) showed the highest relative performance in different PHs. Furthermore, the pooled estimates of the positive likelihood ratio and the negative likelihood ratio of ML models were 8.3 (95% CI 5.7-12.0) and 0.31 (95% CI 0.22-0.44), respectively, for predicting hypoglycemia and 2.4 (95% CI 1.6-3.7) and 0.37 (95% CI 0.29-0.46), respectively, for detecting hypoglycemia.

Conclusions
Statistically significant high heterogeneity was detected in all subgroups, with different sources of heterogeneity. For predicting precise BG levels, the RMSE increases with a rise in the PH, and the NNM shows the highest relative performance among all the ML models. Meanwhile, current ML models have sufficient ability to predict adverse BG events, while their ability to detect adverse BG events needs to be enhanced.

Trial Registration
PROSPERO CRD42022375250; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=375250
Caregivers’ Perceptions, Needs, and Data Sharing Concerns in mHealth Research on Pediatric Asthma: Cross-Sectional Survey Study
Authors: Meng Glen , Jan Ali Maliha , Tse Sze Man 
Published: October 2023

Abstract

Background
Pediatric asthma is the most common chronic respiratory disease of childhood. Caregivers often report lacking knowledge in several aspects of asthma management at home. Although the use of mobile health (mHealth) tools, such as mobile apps, could facilitate asthma self-management and, simultaneously, the collection of data for research, few studies have explored the features that caregivers would like to see in such a tool and their perceptions on data sharing.

Objective
This study evaluates caregivers’ perceived knowledge gaps in asthma management; their perceptions of certain features and resources that should be included in a potential mobile app; and any concerns that they may have regarding data sharing for research, including privacy and security concerns.

Methods
In this cross-sectional study, we surveyed 200 caregivers of children (aged 1-13 y) with asthma who were followed at a pediatric tertiary care center in Montreal, Canada. Anonymous data were collected through the institutional web-based survey platform. We collected the participants’ answers by using a 5-category Likert scale (“completely agree,” “agree,” “neither agree nor disagree,” “disagree,” and “completely disagree”), multiple-choice questions, and free-text questions on the abovementioned topics. Descriptive statistics were performed, and answers were compared between caregivers of preschool-aged children and caregivers of school-aged children.

Results
Participating children‘s mean age was 5.9 (SD 3.4) years, with 54% (108/200) aged ≤5 years and 46% (92/200) aged >6 years. Overall, caregivers reported having adequate knowledge about asthma and asthma self-management. Nonetheless, they identified several desirable features for a mobile app focused on asthma self-management. The most frequently identified features included receiving alerts about environmental triggers of asthma (153/199, 76.9%), having videos that demonstrate symptoms of asthma (133/199, 66.8%), and being able to log children’s asthma action plans in the app (133/199, 66.8%). Interestingly, more caregivers of preschool-aged children preferred textual information when compared to caregivers of school-aged children (textual information for explaining asthma: P=.008; textual information for the symptoms of asthma: P=.005). Caregivers were generally highly in favor of sharing data collected through a mobile app for research.

Conclusions
Caregivers of children with asthma in our study identified several desirable educational and interactive features that they wanted to have in a mobile app for asthma self-management. These findings provide a foundation for designing and developing mHealth tools that are relevant to caregivers of children with asthma.
Ciplukan (Physalis Angulata Linn.) Extract Compounds Potential on High-Fat Diet Induced Nonalcoholic Fatty Liver Disease (NAFLD) for Liver Anti-Fibrotic Drug Development
Authors: Rohmawaty Enny , Dewi Sumartini , Rosdianto Aziiz Mardanarian , Usman Hermin Aminah , Zuhrotun Ade , Hendriani Rini , Wardhana Yoga Windhu , Ekawardhani Savira , Wiraswati Hesti Lina , Rahmadi Andri Reza , Agustanti Nenny , Bestari M. Begawan 
Published: October 2023

An increasing percentage of people have or are at risk to develop the non-alcoholic fatty liver disease (NAFLD) worldwide. Fibrosis has also been identified as the most important predictor of prognosis in patients with NAFLD. Ciplukan (Physalis angulata Linn.) was reported to have antifibrotic potency in CCl4-induced liver fibrotic rats. This study was conducted to evaluate the antifibrotic effect of ciplukan extract through repairing the liver function, anti-inflammatory, and lowering cholesterol. The liver fibrosis model using 20% margarine was injected subcutaneously 8 times with a frequency of twice a week for 4 weeks in 35 male and 35 female Wistar strains which were divided into 7 groups. Furthermore, the rats were given Ciplukan extract (CPL) orally starting the 6th week of treatment with 2 different doses, namely 13.5 mg (CPL-1) and 27 mg (CPL-2) every day for 4 weeks. The histopathological changes of liver fibrosis was analyzed using Haematoxylin Eosin (HE) staining. Determination of serum IL-6 and TGF-β1 levels was carried out by the ELISA method. ALT and cholesterol levels were tested using a diagnostic kit. Single and multiple doses of ciplukan extract with or without standard therapy (Vitamin E) can reduce fibrotic scores up to 1.30±0.95 (p=0.001), TGF-β1 levels up to 24.20±2.02 ng/mL (p = 0.000), IL-6 levels up to 1.68±0.52 pg/mL (p=0.156), ALT levels up to 104.57±2.02 U/mL (p=0.001), and cholesterol levels up to 81, 07±2.02 mg/dL (p=0.000). Ciplukan herb ethanol extract was proven to have liver antifibrotic activity, which means it has potential as a liver fibrotic drug. The liver antifibrotic effect of Ciplukan herb was shown by a histopathological decrease in liver fibrosis scores accompanied by a decrease in TGF-β1, IL-6, ALT, and cholesterol levels.
Keywords: Physalis angulata Linn (Ciplukan), liver fibrosis, NAFLD, ALT, Cholesterol, IL-6
Место встречи и пространство обмена: роль постсоветского рынка в жизни городского сообщества (на примере г. Элисты)
Authors:   Kalmyk Scientific Center of the RAS (8, Ilishkin St., 358000 Elista, Russian Federation), Lidzhieva Altana M. 
Published: October 2023

Introduction. The article discusses the place, functions and significance of marketplaces in urban space. Goals. So, the paper particularly aims to consider the place, functions and significance of the marketplace in the public space of Elista. Materials. The study employs the structural-functional method and that of participant observation. Results. The Central Cossack Bazaar is an important resource for the shaping of Elista’s market economy — small and medium-sized businesses. The marketplace has changed essentially through the stages of its existence within boundaries of the urban landscape, and would prove a most suitable place for trade and supply of the population in certain historical periods. Its place in public life formed the function of a common territory and shaped the structure of traffic flows.
Otonomastic derivation in Vologda dialects
Authors: Ильина Е.Н. 
Published: October 2023

В статье исследуются процессы образования диалектных слов на основе имён собственных. Описываются основные способы образования отономастической лексики, комментируются особенности её семантики и формальных преобразований производящей базы в производном слове. Источником лексического материала служат опубликованные выпуски и картотека «Словаря вологодских говоров», а также личная экспедиционная картотека автора. Доказывается, что процессы образования слов от имен собственных осуществляются по общерусским моделям, но имеют региональную структурно-семантическую специфику.
The article studies the formation of dialect words based on proper names. The ways of forming dialect words from onyms, the meanings of derivative words, the specifics of their derivational base transformations are described. The source of lexical material is the published editions and card index “Dictionary of Vologda Dialects”, as well as the author's personal expedition card file. It is proved that the processes of forming words from proper names follow the general Russian models, but have regional structural and semantic specificity.
Hybrid active learning algorithm for intent classification in dialogue systems with unlabeled noisy data
Authors: Дранга Д.И. 
Published: October 2023

В статье исследуется оптимизация отбора данных для решения задачи классификации намерений в целеориентированных диалоговых системах. Для обучения модели требуются данные, размеченные асессорами, извлеченные из неразмеченных диалогов. Процесс отбора объектов для аннотации представляет особенную сложность, поскольку целевой набор намерений представляет собой лишь часть из возможных намерений, присутствующих в клиентских сообщениях. Дополнительную трудность представляет тот факт, что множество сообщений не несут в себе конкретных намерений. В статье предлагается гибридный алгоритм, учитывающий особенности задачи и объединяющий в себе методы обучения без учителя и с учителем, чтобы решить проблему отбора данных для разметки. Эксперименты на реальных диалогах показали эффективность алгоритма по сравнению с альтернативными подходами. Алгоритм применим к различным моделям классификации.
This article investigates the optimization of data selection for the task of intent classification in goal-oriented dialogue systems. Training the model requires data labeled by assessors extracted from unlabeled dialogues. Selecting objects for labeling is challenging because the target intent set represents only a subset of the potential intent present in customer messages. An additional difficulty is the fact that many messages lack intent. The article proposes a hybrid algorithm that takes into account the task specificities and combines unsupervised and supervised learning methods to address the data selection problem for labeling. Experiments on real dialogues demonstrate the algorithm effectiveness compared to alternative approaches and its applicability to various classification models.
MISLEADING METRICS: PREDATORY TRADE EXPANDS
Authors: KOÇAK Zafer 
Published: October 2023

Research and scientific papers are measured, compared, and frequently ranked using journal metrics. They may also be referred to as journal rankings, journal relevance, or journal impact. Journal metrics allow academics and researchers to compare scholarly publications. The most prestigious ones are the Journal Impact Factor (JIF) based on Web of Science data, and CiteScore and SCImago Journal Rank (SJR) based on Scopus data. As we all know, the availability of these metrics for a journal is associated with its indexing in these bibliographic databases, such as the Web of Science Core Collection or Scopus, and is a proxy to determining the quality of the journal.
The number of open access journals is growing rapidly. According to a report by the University of Regensburg Library, there were more than 60,000 open access journals worldwide in 2018 (EBZ 2018). While open access has brought many benefits to academic publishing, it has also introduced us to many low-quality (Non-indexed) journals, as well as predatory journals and publishers. Thousands of journals therefore compete for manuscripts from researchers/authors. It is clear how difficult it is for new and low-quality journals to receive manuscripts in this competitive environment. Naturally, authors do not want to submit their research to journals that are not indexed or have no metrics. Recently, in some countries, publishing in predatory journals has even become a barrier to academic promotion (Koçak 2012).
Analytical Review of the Software for Creating a City Information Model
Authors: Sheina S. G. , Osovik I. B. 
Published: October 2023

Introduction. The article describes a forward-looking technology in the field of construction industry and urban management – CIM (City Information Modeling) – an information model of a city. Emergence of the information modelling have led to the possibility to create the 3D models not only of individual objects, but also of a city as a whole with its buildings, infrastructure, geological and environmental factors. But creation and maintenance of the city models require the software tools. The aim of the present research is to make a review of the available software, describe its properties and field of application. CIM application capacities are also defined. The tasks, which can be solved by means of such a model, are described. The result of using GIS technologies in creating a city information model with respect to the data on housing stock energy efficiency level is shown.Materials and Methods. Within the research, an analytical review of the existing software for creating an information model of a city was carried out, the works of the scientists, who contributed to the issue of urban modeling, were studied. The information sources useful for further research were identified. Geo-information systems ARC GIS 10.1 ESRI were used to create a city information model.Results. A city information model can be described as a replication of the historical and cultural, socio-economic and religious events and phenomena; the three-dimensional models, geo-information virtual systems created by means of the space-based processing and information technologies, including BIM (Building Information Modeling) and GIS (Geographic Information Systems). The software complexes, which function based on the analysis of the valid data and creation of design entities, are used to create the information models of the urban territories. The major companies importing the urban modeling software, Autodesk and Bentley, offer both BIM and CIM tools.Discussion and Conclusions. The term "Smart City" has become especially popular due to development of BIM technologies. This is an innovative approach based on the digital technologies application, which directly affects the activities and efficiency of provided services and rising the city living standard. For solving the thematic problems, there exist the focused technologies and tools of the modern urban environment development. The main task of the "Smart City" is enhancement of the comfort standard of the residents’ living. This task is solved by creating a city information model integrating the information about the terrain, buildings and structures, roads, green spaces, etc.