bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of the coverage of the USPTO’s PatentsView and the EPO’s PATSTAT patent databases: a reproducibility case study of the USPTO General Patent Statistics Reports
Authors: Mafata Mpho , Linde Ian D. van der , Winnink Jos J. , Tijssen Robert J.W.
Published: April 2024

Patent statistics from various sources are often cited in science, technology, and innovation (STI) studies and STI policies, usually as a proxy for measuring output and activity related to technological innovation. But how reliable are those statistics? The reproducibility of numerical data originating from these information sources may be low, as the query methodology and data coverage of those sources is often omitted or unclear in documents that report on patent-based data collection and comparative analysis. Given the importance of reliable, reproducible statistics as the foundation of evidence-informed policymaking, this study aimed to conduct a reproducibility exercise for the patent statistics produced by USPTO’s Patent Technology Monitoring Team (PTMT) and compare them with statistics derived from PatentsView and PATSTAT patent databases. Comparing the two databases, four types of coverage were investigated, namely: intellectual property (IP) types, geographic (countries and territories) coverage, owner/inventor coverage, and technological coverage. Although there were similarities in the historical trends between the coverage of PATSTAT and PatentsView, the absolute counts data presented high levels of variability. PatentsView had highly varying coverage compared to PTMT, which may be due to excessive generation of secondary fields derived from the original data. Additionally, PATSTAT covered earlier dates (from 1790) compared to PatentsView (from 1976). As for tracking of relative trends in patent output, either database could be chosen, but the choice will highly influence the outcomes of patent-based bibliometric studies.
Virtual Teams in the University: A Critical Literature Review and A Research Agenda
Authors: Miranda F. Javier , Chamorro-Mera Antonio
Published: April 2024

The incentives for the internationalization of universities and the digitalization of teaching driven by the situation of COVID-19 have increased the operation of virtual work teams in higher education institutions, both in terms of groups of students and groups of researchers. The objective of this study is to explore the evolution of academic research concerning virtual teams within university settings, aiming to delineate prominent research trajectories and outline a prospective agenda for future inquiry in this domain. This work involved a systematic review of the literature in the WoS and Scopus databases to identify what, when, who, where and how virtual teams in universities have been researched. The PRISMA method was used to guide the data collection process. Forty-seven articles were identified as relevant for analysis. Despite the significant development of academic research on virtual teams since the end of the last century, the necessary attention has still not been given to the specific case of virtual teams in universities. Most of the research has been conducted in the United States; however, previous research reveals that cultural aspects are relevant variables in the performance and efficiency of virtual teams, so it is advisable to extend this type of research to other countries and cultural contexts. In addition, we can also see that most of the works identified have analysed work teams formed by students, and there are very few studies on virtual teams of researchers, despite the importance of these teams in the context of encouraging the internationalization of research networks. Moreover, the review of the content of the articles as well as the future lines of research have been organized around a life cycle model, considering three categories: inputs, operating process and outputs-results. The second category is the most developed to date.
Specifics of the Chinese National Brand as a Tool of Cultural Diplomacy: structure and functions
Authors: Yang P.
Published: April 2024

The article analyzes the specifics of the Chinese national brand as a tool of cultural diplomacy. The concept of “soft power” is considered, which is part of the narrative about the cumulative power of states and the revival of the Chinese nation and occupies one of the significant places in modern Chinese politics. One of the tools of “soft power” is cultural diplomacy – a branch of public diplomacy based on the exchange of ideas, information, systems, values, beliefs, traditions and other aspects of culture to promote mutual understanding between people. The activities that are used to implement cultural diplomacy are given. The main goal of China’s “soft power” concept is to achieve the correct perception of national ideals by the world community. It is noted that Chinese “soft power” differs from the classical Western concept and is purely culture-centric, interpreted as a combination of Confucian political and social values, Chinese art and language, folk customs and traditions. China is working to globally scale its nation brand, which is based on the concept of nationalism, drawing on the country’s cultural capital. The specifics of the national brand from the perspective of macroeconomics and its structural elements are considered: exports, domestic and foreign government policies, population, culture and heritage, tourism and investment. It is noted that when developing a brand and international communications, the Chinese government actively uses the historical context as a tool of cultural propaganda. The features of the national image are identified, designed to form a positive attitude of society towards the country, contributing to increased trust in it. The objectives and instruments of China’s policy to form and maintain its own image in the international arena are given.
The Communicative Potential of Doctor's Personal Brand
Authors: Tsvetkova A. B. , Stupina J. N.
Published: April 2024

The importance of a doctor’s personal brand in medical marketing lies in its ability to create an additional competitive advantage when promoting the entire medical institution. A strong personal brand of a doctor attracts new patients and retains old ones, which ultimately contributes to the growth of income of the entire medical institution. Patients in the modern information society can easily obtain information about a particular medical professional, his professional successes and treatment results. The role of a doctor’s personal brand that is based on trust, professionalism, recognition and respect, is seriously increasing. The authors of the article represent the results of their own research on consumers of medical services and identify the influence of the doctor’s personal brand on establishing and maintaining communication with the patient.
3D-Bioprinting and AI-empowered Anatomical Structure Designing: A Review
Authors: Bhardwaj Neha , Sood Meenakshi , Gill Sandeep Singh
Published: April 2024

Background::

The recent advancements and detailed studies in the field of 3D bioprinting have made it a promising avenue in the field of organ shortage, where
many patients die awaiting transplantation. The main challenges bioprinting faces are precision during printing, vascularization, and cell
proliferation. Additionally, overcoming these shortcomings requires experts from engineering, medicine, physics, etc., and if accomplished, it will
significantly benefit humankind

Objective::

This paper covers the general roadmap of the bioprinting process, different kinds of bioinks, and available bioprinters. The paper also includes
designing the anatomical structure, which is the first phase of the bioprinting process, and how AI has facilitated this entire process of 3D printing
in healthcare and associated applications like medical modelling and disease modelling.

Methods::

The process of 3D bioprinting involves meticulous structure designing of the anatomical structure under study, which forms the base of the entire
bioprinting process. One of the significant applications of 3D printing in healthcare is Medical Modelling and Disease Modelling, which requires
the detection of disease in anatomy and its delineation from the rest of anatomy for meticulous creation of ROI using sophisticated segmentation
software(s) for the construction of 3D models of diseased anatomy and healthy anatomical surroundings.

Conclusion::

The study concluded that bioprinting is the future of the worldwide organ transplantation crisis. Anatomical accuracy is an important aspect that
must be considered while producing 3D models. The reproduction of patient-specific 3D models requires human rights and ethics approval under
four principles of ethics in healthcare: autonomy, non-maleficence, beneficence, and justice.
Molecular Dynamics Simulation of SARS-CoV-2 E Ion Channel: The Study of Lone Protein and its Conformational Changes in Complex with Potential Cage Inhibitors
Authors: Shiryaev Vadim Andreevich , Ivleva Elena Alexandrovna , Zaborskaya Maria Sergeevna , Tkachenko Ilya Michailovich , Osyanin Vitaly Alexandrovich , Klimochkin Yuri Nikolaevich
Published: April 2024

Background:

The coronavirus E ion channel has previously been studied as a potential
target for antiviral therapy, with several compounds found to bind to the channel. However,
these compounds have low activity, searching for effective E ion channel inhibitors of great importance.

Objective:

This study aimed to develop a computational approach for designing ligands for the
coronaviral E ion channel and identify potential inhibitors based on this approach.

Methods:

The structure of the E-ion channel was refined using molecular dynamics, and the
pore responsible for binding cage compounds was selected as the inhibitor-binding site. Potential
inhibitor structures were identified using molecular docking, and their binding was confirmed
using molecular dynamics simulations.

Results:

A number of potential SARS E ion channel inhibitors have been identified, and the
binding modes and possible mechanisms of action of these inhibitors have been clarified.

Conclusion:

This study presents a computational approach that can be used to design ligands
for E ion channels and identify potential inhibitors, providing valuable insights into the development
of new antiviral therapies. The behavior of the E protein pentamer of SARS-CoV-2 in
its native environment was investigated using Molecular Dynamics (MD), resulting in an equilibrated
structure that could be used to develop new inhibitors through molecular docking. Simulation
of the MD of E-channel complexes with amantadine analogues allowed for the identification
of the main types of ligand-protein interactions that are responsible for the good binding of
ligands within the channel's inner chamber.
Functional Investigation and Two-sample Mendelian Randomization Study of Inguinal Hernia Hub Genes Obtained by Bioinformatics Analysis
Authors: Lu De Kun , Guo Zheng Chang , zhang Jia Jia , Yu Xin , Zhang Zong Yao
Published: April 2024

Background:

Inguinal hernia in adults is a common and frequent disease in surgery,
prone to occur in the elderly or in those with a weak abdominal wall. Despite its prevalence,
Molecular mechanisms underlying inguinal hernia formation are unclear.

Objective:

This study aims to identify potential gene markers for inguinal hernia and available
drugs.

objective:

This study aims to identify potential gene markers for inguinal hernia and available drugs.

Methods:

Pubmed2Ensembl text mining was used to identify genes related to "inguinal hernia"
keywords. The GeneCodis system was used to specify GO biological process terms and KEGG
pathways defined in the Kyoto Encyclopedia of Genes and Genomes (KEGG). The STRING
tool was used to construct protein-protein interaction networks, which were then visualized using
Cytoscape.CytoHubba and Molecular Complex Detection were utilized to analyze the module
(MCODE). A GO and KEGG analysis of gene modules was conducted using the DAVID
platform database. Hub genes are those that are concentrated in prominent modules. The druggene
interaction database was also used to identify potential drugs for inguinal hernia patients
based on their interactions between the hub genes. Finally, a Mendelian randomization study
was conducted based on genome-wide association studies to determine whether hub genes cause
inguinal hernias.

Results:

The identification of 96 genes associated with inguinal hernia was carried out using
text mining techniques. It was constructed using PPI networks with 80 nodes and 476 edges,
and the sequence of the genes was performed using CytoHubba. MCODE analysis identified
three gene modules. Three modules contain 37 genes clustered as hub candidate genes associated
with inguinal hernia patients. The PI3K-Akt, MAPK, AGE-RAGE, and HIF-1 pathways
were found to be enriched in signaling pathways. Sixteen of the 37 genes were found to be targetable
by 30 existing drugs. The relationship between hub genes and inguinal hernia was examined
using Mendelian randomization. The research revealed nine genes that may be connected
with inguinal hernia, such as POMC, CD40LG, TFRC, VWF, LOX, IGF2, BRCA1, TNF,
and HGF in the plasma. By inverse variance weighting, ALB was associated with an increased
risk of inguinal hernia with an OR of 1.203 (OR [95%] = 1,04 [1.012 to 1.089], p = 0.008).

Conclusion:

We identified potential hub genes for inguinal hernia, predicted potential drugs for
inguinal hernia, and reverse-validated potential genes by Mendelian randomization. This may
provide further insights into asymptomatic pre-diagnostic methods and contribute to studies to
understand the molecular mechanisms of risk genes associated with inguinal hernia.
Osteoporosis Etiology, Epidemiology, Diagnosis, Diet, and Treatment: A Narrative Review
Authors: Foroutan Behzad
Published: April 2024

This narrative review aimed to select, gather, and present inclusive evidence about osteoporosis etiology, epidemiology, diagnosis, diet, and treatment. We searched PubMed and Google using these terms: osteoporosis AND etiology, osteoporosis AND epidemiology, osteoporosis AND diagnosis, osteoporosis AND diet, and osteoporosis AND treatment. Each title of the extracted manuscripts was read first. If deemed suitable, the abstracts of the manuscripts and text were read carefully. Afterward, the details of each term were selected, put together, and summarized. The review attempted to find associated literature up to the beginning of 2022. Limits were used to restrict the search to English language publications. Several 3988 manuscripts relevant to the search objectives were retrieved. The results were analyzed and presented with important evidence to shape this narrative review. Osteoporosis leads to bone fragility, disability, and risk of fracture. These events cause many problems, particularly in the elderly. The publication of narrative review articles can provide helpful information such as timely disease diagnosis, prescribing the most appropriate medicines, correct nutrition methods, and prevention strategies to clinicians and their patients. It is suggested that the results of such studies be included in the agenda of relevant organizations such as the WHO.
Effect of Phytases in Pig Diets on Production Performance: Meta-analysis
Authors: Guachamín-Guachamín Ronny Alexander , Quisirumbay-Gaibor Jimmy Rolando
Published: April 2024

Feeding is one of the most critical items in pig production. Phosphorus, protein, and energy sources represent the most expensive ingredients in the feed. Phytases are enzymes used for many years to take advantage of plant phosphorus and reduce costs. Despite  many studies with various methodologies and results, they have not been thoroughly systematized. Therefore, this research aims to evaluate the effect of the inclusion of phytases on performance in pigs. Effect size, heterogeneity, meta-regressions, and publication bias were determined. Phytase-supplemented pigs gained 25.17 g (p < 0.05) more daily weight than controls. Piglets can gain up to 39.89 g (p < 0.05). The pigs ingested a greater amount of feed, 23.44 and 28.61 g (p < 0.05), per day than the control in the general analysis and piglets, respectively. Crude protein, metabolizable energy, total calcium and phosphorus, duration, and level of phytases in the diet affected performance (p < 0.05). No publication bias was found. Including phytases favors weight gain and feed intake in general pigs and piglets but not in growing-finishing pigs. The effect of other nutrients and the duration and level (dose) of phytases must be considered at the time of formulation.
Homestay Hosting Dynamics and Refugee Well-Being: Scoping Review (Preprint)
Authors: Al-Hamad Areej , Yasin Yasin Mohammad , Metersky Kateryna , Guruge Sepali , Jung Grace , Mahsud Khadija
Published: April 2024

BACKGROUND

Homestay accommodations aim to support a smoother transition for refugees; yet, the intricate nature of relationships between refugees and their hosting families can make this process complex, which, in turn, can affect their health and well-being. It is crucial to grasp the experiences of both refugees and their host families in order to foster effective settlement, integration, and well-being.

OBJECTIVE

The purpose of this scoping review is to explore the dynamics of homestay or hosting with a focus on understanding the experiences of both refugees and their hosting families to identify gaps in the literature and propose directions for future research.

METHODS

We used the Joanna Briggs Institute methodology and followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist to guide this scoping review. Searches were conducted in MEDLINE via EBSCO, Scopus via OVID, CINAHL, SOCIndex, Web of Science Core Collection, ProQuest Dissertations and Theses, the SciELO Citation Index, and APA PsycInfo. Literature written in English and published from 2011 to 2024 that focused on homestay hosting contexts for refugees was included.

RESULTS

The results of this review illuminate the multifaceted and dynamic nature of homestay hosting for refugees. The findings include motivations and barriers for homestay hosting, factors influencing host-refugee relations, and psychological and social outcomes of homestay hosting.

CONCLUSIONS

The results of this scoping review demonstrated the need for tailored support for refugees to improve homestay programs for the benefit of both refugees and host families and highlighted the need of more inclusive, supportive, and effective strategies for the hosting, resettlement, and integration of refugees.

CLINICALTRIAL

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/56242
The measurement of adherence to inhaled corticosteroids in asthma using electronic monitoring devices: A systematic review and meta-analysis (Preprint)
Authors: Adejumo Ireti , Chalitsios Christos V , Shaw Dominick E , McKeever Tricia M
Published: April 2024

BACKGROUND

Electronic monitoring devices (EMDs) are increasingly considered the gold standard for quantifying inhaled corticosteroid (ICS) adherence in asthma. They are likely to play an important role in the future digitisation of self-management. However, there is a risk that early adoption without clarity of purpose could limit their utility.

OBJECTIVE

This review sought to ascertain an estimate of EMD-measured ICS adherence among people with asthma and understand the factors involved in their use.

METHODS

Searches were conducted in 2017 with updates in 2021 and 2023 across databases including Cochrane CENTRAL, MEDLINE, EMBASE, Web of Science, PsychINFO and IEEE Xplore. Studies were included if they used EMDs in adults with asthma and were randomised controlled trials (RCTs) or cohort studies. Summary data were extracted to inform narrative review and meta-analysis. The primary outcome was to derive a population estimate of ICS adherence. The study protocol is registered on the Prospero database (CRD42017057708).

RESULTS

Seventy-two RCTs and cohort studies were identified. RCT control groups were pooled with cohort studies for meta-analysis of the primary endpoint. Mean daily ICS adherence was 63.7% (95% Confidence Interval 59.2–68.2%, I2=98.9%). There was significant heterogeneity in device characteristics, study design, sample populations, definitions of adherence and use/choice of clinical outcome measures.

CONCLUSIONS

The findings suggest studies likely overestimate adherence compared to the general asthma population, even when objectively monitored. Minimum agreed standards for EMD outputs, accuracy, and agreed clinical outcome measures which are sensitive to digital interventions may be required for future research and clinical practice.

CLINICALTRIAL

N/A
When HFMD crashes into birthday: A novel discovery of birthday week effect based on evidence from fifteen years (2008-2022)’s surveillance in China (Preprint)
Authors: Jiang Pei , Huang Longxin , Liu Zhenzhong , Hao Linhui , Huang Tian , Yang Haijun , Cai Tongjian , Yan Xiangyu , Shui Tiejun
Published: April 2024

BACKGROUND

Hand, foot and mouth disease (HFMD) is a major infectious disease that primarily affects infants and children worldwide. Previous studies of HFMD mainly focused on natural regularity, such as seasonality, but exploration of important social time point’s influence was lack. Several studies have indicated correlations between birthday and some disease outcomes.

OBJECTIVE

For the first time ever, to explore birthday’s influence on hand, foot and mouth disease (HFMD) in Yunnan, China.

METHODS

2008-2022 HFMD surveillance data in Yunnan Province, China were obtained. The six days before birthday to the exact birthday were defined as the birthday week. Birthday week effect was measured by the proportion of cases during the birthday week (birthday week proportion, BWP). In subgroup analyses, the BWPs across sex, different age groups, months of birth and reporting years were presented.

RESULTS

Among total 973 410 cases, 116 976(12.02%) occurred during the birthday week, which was 6.27 times relative to the average weekly proportion (7/365, 1.92%). Specifically, the BWPs reached up to 33.67% for 0-1 year infants, which was 17.57 times to the average weekly proportion. The BWPs were close between males and females (12.19% vs 11.78%). Patients born in April-July, the main peak months of HFMD epidemic, had higher BWPs (13.51%, 20.06%, 19.69% and 15.60%) than other months. Especially for 0-1 year infants born in April-July, the BWPs were as high as 43.54%, 51.85%, 48.10% and 39.42%, respectively. Besides, there was a decreasing trend of BWPs from 2008 to 2022 (33.74% to 2.77%).

CONCLUSIONS

An obvious birthday week effect of HFMD was observed, especially for infants and patients born at the peak months of epidemic. The improvements in surveillance quality might explain the decreasing trend of birthday week effect over year. While, higher exposure risk during birthday period and possible biological mechanisms might also accounted for this phenomenon. To some extent, raising people’s awareness of greater risk during birthday week will benefit HFMD’s prevention and control.
Academic Quality Dimensions and its influence on Students’ Satisfaction
Authors: Macedo Maria Erilucia Cruz
Published: April 2024

Today in many industries service quality is widely used in different sectors. Every sector whether services sector or manufacturing can apply and implement five dimensions of service quality. The purpose of this study is to reveal the impact of service quality on student’s satisfaction in education sectors. The findings of the study will show impact of different service quality dimensions on students’ satisfaction in a private university. This study is useful to see the significance of service quality to satisfy students. SERVQUAL model of service quality provided by (Parasuraman, et al., 1988) is implemented. It includes five dimensions tangible, reliability, responsiveness, assurance and empathy. Findings of this study showed that four of service quality dimensions (tangible, responsiveness, assurance and empathy) have positive association with student satisfaction, except reliability have negative association with student satisfaction.
Assessment of the Status of Health and Fitness of Students of Thanh Hoa University of Culture, Sports and Tourism, Vietnam
Authors: Tam MSc. Nguyen Thanh
Published: April 2024

A study on the current state of health and fitness of students at Thanh Hoa University of Culture, Sports, and Tourism has provided scientific and practical evaluation data according to 3 health contents, physical fitness, and physical education subject scores. The research results have proved that the health and fitness status of students majoring in Culture and Tourism at Thanh Hoa University of Culture, Sports and Tourism is at an average level, ensuring the requirements for studying. ; However, the fitness test results of many male and female students are still weak when compared with the regulations on physical fitness standards of the Ministry of Education and Training and the physical standards of Vietnamese people.
Building Criteria for Assessing the Impact of Policy on the Development of Sports for Everyone
Authors: Lien MSc. Nguyen Thi Hong
Published: April 2024

Based on the promulgated physical training and sport development policies, regulations on policy impact assessment, the values ​​of sport in practice, through surveys and surveys. In fact, through a poll of experts and research results, 6 groups of criteria were selected to evaluate the impact of policies on the development of sport and sport for everyone. The evaluation criteria are scientifically and realistically developed. and ensure reliability through test results by Cronbach Alpha coefficient (Internal Consistent Reliability Analysis) and exploratory factor analysis EFA (KMO and Bartlett's Test).
Mental Health Prediction Using Catboost Algorithm
Authors: Babu Mr. M. Jeevan
Published: April 2024

Abstract: This study investigates the application of the CatBoost algorithm in predicting mental health outcomes using Python programming language. Mental health prediction is a critical area of research due to its significant impact on individuals and society. Traditional predictive modeling techniques often encounter challenges in handling complex and highdimensional data inherent in mental health datasets. CatBoost , a state- of-the-art gradient boosting algorithm, has shown promise in effectively addressing these challenges by handling categorical variables seamlessly and exhibiting robust performance in various domains. Leveraging its powerful capabilities, this study aims to develop predictive models for mental health outcomes utilizing a comprehensive dataset encompassing diverse socio- demographic, behavioural , and clinical factors. The predictive performance of the CatBoost algorithm will be evaluated and compared against other commonly used machine learning algorithms, demonstrating its effectiveness in accurately predicting mental health outcomes. This research contributes to the advancement of predictive modeling in mental health research and holds potential implications for personalized interventions and resource allocation in mental healthcare systems
Potable Water Quality Prediction: By Artificial Intelligence Techniques with Advanced Machine Learning Algorithm’s
Authors: N Vijendra S , Prashant  , M Jayprakash , R Ananya , N Shivashankar
Published: April 2024

Abstract: Water is necessary for humans to survive, and everyone's health depends on maintaining the quality of the resource. Drinking polluted water can put one's health at risk, raising the chances of contracting diseases like cholera and other waterborne infections. By predicting the water's quality, ‘machine learning algorithms’ have developed into beneficial tools for quickly and reliably monitoring water supplies. Many forecasting techniques are the main subject of this study. This project aims to estimate water potability using various algorithms by forecasting the physicochemical characteristics of water samples taken from the Drinking Water dataset on Kaggle. To find the potability of drinking water, we use a variety of methods, including 'random forest', 'logistic regression', 'decision tree', 'SVM', 'AdaBoost', and 'KNN'. There is hence a strong chance that the investigation will yield precise data regarding the quality of the water
AI Driven Innovations in Cyber Security
Authors: Nikam Rugved Lav
Published: April 2024

Abstract: The explosion of cyber threats presents a huge challenge to traditional cyber security methods, requiring the integration of advanced technologies such as artificial intelligence. This research paper provides an in-depth analysis of the current landscape of AI applications in cybersecurity. We will look at different AI techniques, such as machine learning, deep learning, natural language processing and anomaly detection, and explain their role in improving threat detection, incident response and vulnerability management. In addition, we explore AI-based cybersecurity challenges such as competitor attacks, data protection issues, and model interpretability. Based on recent advances and emerging trends, we propose future research directions to address these challenges and realize the full potential of AI to protect digital assets and critical infrastructure. Our synthesis aims to inform policymakers, industry participants and researchers about the transformative impact of AI on cybersecurity and inspire collaboration to build resilient and adaptive defenses in the face of evolving cyber threats.
Desktop as a Service using Local Computers
Authors: Manwar Prof. S. R. , Aher Srushti , Wagh Tanmayee , Wadmare Sayali , Panchal Vaibhavi
Published: April 2024

Abstract: Desktop-as-a-Service (DaaS) has gained prominence as a cloud-based solution for delivering desktop environments to users. However, traditional DaaS models often rely on remote data centers, posing concerns regarding data security, latency, and dependence on external infrastructure. In this paper, we propose a paradigm shift by introducing a novel approach to DaaS that leverages the untapped potential of local computing resources.Our system harnesses the idle computing power available within the user's local environment, including desktops, laptops, and servers, to create a distributed DaaS platform. By integrating virtualization technologies and dynamic resource allocation strategies, we enable the provisioning of desktop environments ondemand, effectively reducing the reliance on centralized data centers. Key components of our system include a centralized management platform for orchestrating resource allocation and workload distribution, virtualization techniques for isolating and managing desktop instances, and robust security measures to safeguard sensitive data. Through experimental validation, we demonstrate the feasibility and performance of our approach, showcasing improvements in data privacy, latency reduction, and resource utilization compared to traditional DaaS models. Our research presents a significant step towards decentralized and resilient computing ecosystems, offering users greater control over their desktop environments while maintaining the scalability and accessibility inherent to DaaS paradigms
Android Pattern Bypass using Microcontroller
Authors: Reddy Reddyvari Venkateswara , Gayathri V , Reddy P Sai Charan , Kumar S Raj
Published: April 2024

Abstract: The goal is to exploit a potential security vulnerability in Android devices by using a microcontroller which goes by the name ATTiny85 connected via USB. The objective is to bypass the lock patterns or security measures typically in place on Android devices, which are designed to prevent unauthorized access. This could involve manipulating the USB connection to take control of the device's data or functions, potentially compromising the device's security. Such actions are unethical and illegal without proper authorization. It’s really important to acknowledge the amount of loss these attacks incur. The primary aim is to capitalize on a potential security vulnerability inherent in Android devices through the utility provided by microcontroller. This strategy is devised to circumvent the established lock patterns and security protocols usually implemented on Android devices, serving as a deterrent against unauthorized access. This approach may entail manipulating the USB connection to infiltrate the device's data or functionalities, posing a significant threat. It is crucial to emphasize that engaging in such activities is not only unethical but also illegal without explicit authorization. This underscores the paramount importance of upholding robust security measures on Android devices to proactively thwart any attempts at exploitation.
Yoga Pose Detection and Correction Using OpenPose
Authors: Gurav Omkar , Kulthe Utkarsh , Bhalerao Shantik , Lawande Mangesh , Mali Prof. Nilesh
Published: April 2024

Abstract: OpenPose serves as a powerful tool for Human Pose Estimation, specializing in localizing anatomical key points or parts with a primary focus on identifying various body parts. Leveraging part affinity fields and a multi-convolutional neural network (CNN) architecture, OpenPose excels in extracting human parts and establishing associations with exceptional performance. The integrated design aims at jointly learning parts detection and their associations, with the part affinity score guiding the connections between different body parts.
On Weakly S-Prime Elements of Lattices
Authors: Atani Shahabaddin Ebrahimi
Published: April 2024

Let £ be a bounded distributive lattice and S a join-subset of £. In this paper, we introduce the concept of S-prime elements (resp. weakly S-prime elements) of £. Let p be an element of £ with S ∧p = 0 (i.e. s∧p = 0 for all s ∈ S). We say that p is an S-prime element (resp. a weakly S-prime element) of £ if there is an element s ∈ S such that for all x, y ∈ £ if p ≤ x ∨ y (resp. p ≤ x ∨ y 6= 1), then p ≤ x ∨ s or p ≤ y ∨ s. We extend the notion of S-prime property in commutative rings to S-prime property in lattices.
Hacia la transformación en las prácticas educativas : pedagogías que motivan procesos de renocimiento en la Institución Educativa Quiebralomo de Riosucio (Caldas)
Authors: Botero-Mejía María Licidia
Published: April 2024

La educación en Colombia, consagrada como un derecho fundamental en la Constitución Política de 1991, se reconoce como piedra angular del progreso de la sociedad, impulsando la transformación de sus habitantes y abordando las problemáticas de la comunidad. Por tal motivo, para cumplir con los parámetros del Macroproyecto Riosucio Ciudad Educativa: de la utopía a la realidad, este trabajo de maestría contribuyó a las instituciones educativas del municipio, abordando las problemáticas educativas y empoderando a los habitantes desde sus características y cualidades culturales. El objetivo fue develar las pedagogías que emergen, motivan, transforman y que guían las prácticas educativas en la Institución Educativa Quiebralomo del Resguardo Indígena Cañamomo - Lomaprieta. Se identificaron cinco categorías clave que sustentan el Proyecto Educativo Comunitario (PEC) y su contribución a la transformación de la educación en el territorio: el Proyecto Educativo Comunitario (PEC), las prácticas pedagógicas y el PEC, la educación propia, la comunidad y convivencia, y el territorio, de las cuales se presenta la interpretación que se realizó en las dos primeras. Para llevar a cabo la investigación, se implementó una metodología cualitativa basada en entrevistas que permitieron explorar las percepciones y realidades estudiantes y docentes de la I. E., nutriendo la educación propia y el territorio como ejes transversales que enriquecen el desarrollo de la Institución Educativa Quiebralomo y contribuyen al progreso del Resguardo. En conclusión, el enfoque de este trabajo de maestría es reconocer y valorar la diversidad cultural, promoviendo una educación inclusiva y de calidad, en sintonía con el entorno propio de la comunidad educativa. La investigación se enfoca en el diálogo y el intercambio de saberes contextualizados para el beneficio de los sujetos que son parte esencial del proceso educativo del municipio.
Música para convivir en armonía
Authors: Cubillos-Quimbayo Dubier
Published: April 2024

El presente documento surge como resultado del informe final de una investigación sobre “la práctica musical bandística en el desarrollo de habilidades sociales para la convivencia pacífica con estudiantes de una banda musical en el Municipio de La Dorada, Caldas-Colombia”. El proceso realizado en el marco de la investigación describe la caracterización de las habilidades sociales que se desarrollan a través de la práctica musical bandística, los aportes en aspectos sociales y vivenciales que la práctica musical bandística hace a los estudiantes y los aportes a la convivencia pacífica.Esta investigación se desarrolló bajo el enfoque mixto y el método narrativo-hermenéutico, para lo cual se recurre a la voz de los propios actores mediante entrevistas de tipo semiestructuradas y abiertas para la construcción de los datos, aunados a la aplicación del instrumento escala de habilidades sociales (EHS) a 25 estudiantes que integran la banda estudiantil de música en edades de 12 a 17 años y que tiene como finalidad la evaluación de la aserción y las habilidades sociales.El análisis de los datos permite concluir que las bandas como espacios socioformativos aportan y contribuyen al desarrollo de habilidades sociales que favorecen la convivencia pacífica, pues a través de la confrontación de los relatos y la prueba psicométrica se puede interpretar y comprender los cambios en las relaciones sociales de los estudiantes.En este documento se desarrollará la categoría denominada “música para convivir en armonía”.
PENSAMENTO CRÍTICO E SUAS ESTRATÉGIAS NO ENSINO DE CIÊNCIAS DOS ANOS INICIAIS A PARTIR DE PESQUISAS BRASILEIRAS
Authors: Quadra Luana Zimpel de , Wirzbicki Sandra Maria
Published: April 2024

As necessidades atuais da sociedade requerem a formação de cidadãos ativos e críticos, capazes de posicionar-se e tomar decisões. Para isso, é importante que o Ensino de Ciências (EC) promova estratégias que visem o Pensamento Crítico (PC) dos alunos. Assim, objetivamos identificar e analisar teses e dissertações presentes na Biblioteca Digital de Teses e Dissertações (BDTD), no Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT), que contemplaram estratégias de PC no EC dos Anos Iniciais (AI). Utilizamos os descritores: “Ensino de Ciências” e “Séries Iniciais”, sem data estabelecida, buscando por pesquisas que traziam em seu corpus o tema PC e estratégias de ensino promotoras do PC. Dessa busca selecionamos 16 pesquisas, sendo 4 teses e 12 dissertações, que foram analisadas pela Análise de Conteúdo de Bardin (2016) e organizadas nas categorias: i) Concepções de PC e ii) Estratégias promotoras de PC. Ao longo da pesquisa foi possível identificar diferentes concepções da temática bem como compreender várias estratégias que promovem o PC. A constatação da necessidade de formação de professores com relação ao Pensamento Crítico, exige a preparação desses profissionais com estudos teóricos e práticos acerca do PC. Dentro desses estudos, os professores podem desenvolver materiais didático-pedagógicos que sejam elaborados intencionalmente para a promoção do PC.
The Structural Relationship between Pre-Service Early Childhood Teachers' Perceived Need for Early Childhood Science Education and Knowledge of Artificial Intelligence, Attitudes Toward Science Instruction, and Science Teaching Self-Efficacy
Authors:   The Korea Associantion For Early Childhood Education Administration, Jo Hyeyoung
Published: April 2024

The purpose of this study was to investigate the structural relationship between pre-service early childhood teachers' perceived need for early childhood science education and their knowledge of artificial intelligence, attitudes toward science instruction, and self-efficacy in science teaching. The subjects of this study were 224 pre-service early childhood teachers in Seoul, Gyeonggi, Chungcheong, and Gyeongsang provinces, and their data were analyzed for the research. The relationships among research variables were analyzed using Pearson's correlation analysis, and the structural relationships were explored through structural equation modeling (SEM) using SPSS 25.0 and AMOS 23.0. These results were as followed. First, when examining the tendencies of research variables, all scored above 3.0 points, indicating a high level, and normality was considered satisfactory in the analysis. Second, statistically significant positive correlations were observed among all variables, with a particular focus on endogenous variables such as science teaching self-efficacy and its sub-factors, as well as attitudes toward science instruction and its sub-factors. Third, the measurement model was found to be appropriate. Examining the path coefficients of the structural model revealed that the perceived need for early childhood science education had statistically significant effects on artificial intelligence knowledge, attitudes toward science instruction, and science teaching self-efficacy. Statistically significant effects of artificial intelligence knowledge were found on attitudes toward science instruction and science teaching self-efficacy. Mediation analysis revealed that knowledge of artificial intelligence partially mediated the influence of perceived need for early childhood science education on attitudes toward science instruction and science teaching self-efficacy. These research findings suggest the need to consider incorporating educational approaches related to artificial intelligence to enhance the foundation of early childhood science education.
Chronicle
Authors: Editorial Article
Published: April 2024

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Prognostic significance of TLR3 and TLR9 gene polymorphism in assessing the severity of COVID-19
Authors: Ashchina L. A. , Baranova N. I. , Bolgova A. I. , Levashova O. A. , Lesina O. N.
Published: April 2024

Objective: to study polymorphic variants of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with COVID-19 depending on the severity of the disease and their significance for determining the risk of severe course of COVID-19.

Materials and Methods: genetic analysis of polymorphism of TLR3 (rs3775291) and TLR9 genes (rs352140) was performed in 164 patients with COVID-19, who were divided by degree of severity into three groups: Group 1 with mild, Group 2 with moderate and Group 3 with severe and extremely severe degrees of severity. The control group consisted of 40 healthy donors. Statistical processing of the obtained results was carried out using STATISTICA 12.0 programs (Stat Soft, USA). To assess the difference of groups by qualitative characteristics, the χ2 criterion with Yates correction was used, and in case of violation of its conditions, the χ2 criterion was applied. Yates correction, and if the conditions of its applicability were violated, the two-sided Fisher’s two-sided criterion (RF). The difference between the groups was considered statistically significant at р<0,05. The strength of associations was evaluated in the values of the odds ratio index odds ratio (OR) and 95% confidence interval.> ˂ 0,05. The strength of associations was evaluated in the values of the odds ratio index odds ratio (OR) and 95% confidence interval.

Results: the frequency of the ST genotype was significantly higher and the frequency of the TT genotype of the rs3775291 allele of the TLR3 gene was significantly lower in patients with the manifest form of COVID-19 compared with the control group. Frequency analysis of TLR9 (rs352140) in COVID-19 patients showed significantly higher values of the ST genotype and lower values of the CC genotype compared to healthy individuals. Comparative analysis between groups of hospitalized patients depending on severity revealed higher frequency of ST genotype and lower frequency of TT genotype of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with severe and extremely severe condition.

Conclusion: reliable differences in the frequency of occurrence of genotypes of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with the manifest form of COVID-19 compared to healthy people were revealed. The analysis of nucleotide sequence variants of the studied genes in hospitalized patients depending on the degree of severity also showed significant differences in the frequency of genotypes. Thus, in patients with severe and extremely severe COVID-19, a significant difference in the frequency of occurrence of ST and TT genotypes of TLR3 (rs3775291) and TLR9 (rs352140) genes was revealed compared to patients with mild and moderate COVID-19, which may further have prognostic value in assessing the severity of the disease.
The malaria in the second trimester of pregnancy (clinical case near miss)
Authors: Kovalchuk A. S. , Kutsheriavenko A. N. , Sudakov D. S.
Published: April 2024

A clinical case of the course of malaria in a pregnant woman in the second trimester of pregnancy who returned from the Republic of Ghana is described. A multidisciplinary approach to the treatment of the disease made it possible to avoid the death of a woman. However, the extremely severe course of infection and the complications of this disease that have arisen have led to intrauterine fetal death.
A clinical case of disseminated BCG infection with a fatal outcome
Authors: Kharit S. M. , Konstantinova Yu. E. , Karev V. E. , Karabak I. A. , Konev A. I. , Tikhomirova K. K. , Lozovskaja M. E.
Published: April 2024

Complications after the introduction of the tuberculosis vaccine develop extremely rarely. They become accidentally vaccinated infants with undiagnosed severe immunodeficiency. The article considers a clinical case of the course of disseminated BCG infection with multiple organ damage in congenital immunodeficiency in a 9-month-old boy. The disease manifested itself acutely, the child’s condition worsened within a week, and its outcome was the death of the baby. Primary immunodeficiency was confirmed by the results of a pathoanatomic examination. The discussion provides a classification of complications after the introduction of BCG vaccine, the algorithm of the doctor’s actions in case of a suspected complication after vaccination, and also describes the main signs of immunodeficiency.