bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on vehicle route automatic identification and equipment parameters based on internet of things technology
Authors: Chen Haifeng 
Published: April 2023

Abstract
The speed of urban construction is accelerating, and the number of motor vehicles in the city is also growing rapidly, which has brought many serious traffic problems. Using modern technology to identify the routes of vehicles can effectively relieve the pressure of traffic travel. However, due to the huge number of urban population, it is difficult to estimate the cost of collecting all data. In the process of research, this paper uses the Internet of Things technology to solve the problem of data collection, and GPS technology is a very important part of the Internet of Things technology. This technology can play the role of collecting, identifying and controlling the physical and chemical properties of vehicles in the process of solving the problem of identifying the route of vehicles. The efficient use of this technology can not be separated from sensors, network models and other technologies. This paper not only discusses the specific situation of identifying vehicle running routes using the Internet of Things technology, but also discusses and analyzes the research on vehicle equipment parameters through the Internet of Things technology, providing reliable technical support for people to understand the specific parameter information of vehicle equipment. This paper also carried out experiments on the methods proposed in the study. The experimental results show that it is of practical significance to identify vehicle running routes and equipment parameters using the Internet of Things technology in this paper. The Internet of Things technology plays an important role in urban construction, and can also effectively alleviate the traffic problems caused by the accelerated urbanization process.
Business Priority Simulation of Financial System Data management based on Virtual Network and resource allocation algorithm
Authors: Hao Jia 
Published: April 2023

Abstract
With the increase in the share of the Internet in people’s lives, work and studies and the diversification of service types, the traditional virtual network architecture can no longer meet the needs of current users and enterprises. The traditional virtual network architecture is based on virtual network technology. The foundation is the prototype of the next-generation virtual network architecture. The new virtual network architecture improves the resilience of virtual networks, and the scale of virtual networks increasingly threatens the reliability of the network. It faces multiple threats, such as natural causes, man-made causes, software failures, hardware failures, and so on. In the AdHoc network of cognitive radio, effective allocation of frequency resources and dynamic routing are two important issues. Since the AdHoc network of cognitive radio has a distributed structure and a dynamically changing network topology, the available frequency resources vary depending on the time and location of the node. Therefore, in such a virtual network environment, it is necessary to adopt the idea of cross-layer design to effectively combine frequency allocation and dynamic routing. This article takes a company as an example to discuss how to manage and optimize the data in the company's financial system. First, the current situation of the company's financial system data is discussed from a variety of perspectives, such as the structure of the financial system, job definitions, staffing, accounting and financial system management. Secondly, this article also discusses many issues related to the operation of the company's financial system.
Development of online teaching video course model of higher vocational education in China based on fuzzy computing
Authors: Lin Xi 
Published: April 2023

Abstract
In the teaching system based on online teaching technology, curriculum resource data and user registration information are expanding with the development of information technology. The most commonly used technology branch of online teaching technology is video teaching. Teaching through video is an important part of the classroom, and its quality will also affect the overall quality of online courses. At present, the key research direction of the industry is how to enhance the teaching effectiveness of the system based on improving the information quality of teaching videos. Under this background, this paper designs and constructs an online video course teaching system for higher vocational education by using fuzzy computing technology. Users can fully participate in the complete online teaching process when using this system, and the system can reasonably analyze students' error information in the learning process to specifically optimize and modify, so as to enhance the role of information circulation. The form of system aided teaching is realized through flow chart, which can provide the flow chart to users, and design code or draw flow chart based on the flow chart, so as to conduct error detection and further complete the prediction behavior for the teaching process. From the simulation experiment data, it can be concluded that the system is effective, its response time is 1.8s, and the average error rate reaches 0%, which effectively meets the expected design goals of the system. Using the idea of the system design, this paper puts forward online education strategies that can effectively assist the future development of higher vocational education. This paper designs a kind of online teaching system for higher vocational education by studying fuzzy computing technology.
Landscape design of rural characteristic town based on GIS image recognition and Internet of Things
Authors: Ruibin Liu 
Published: April 2023

Abstract
GIS image has many characteristics, such as wide coverage, strong time continuity and large amount of data, so GIS image has become a hot issue in the application field. In order to accelerate the pace of urbanization, China attaches great importance to the construction of new countryside and the development of rural towns with characteristics. However, there is homogeneity in the construction of small towns with rural characteristics, which lack of characteristics and innovation. In this context, China has put forward the concept of new urbanization. In the context of the new era and the new normal, an important measure of new urbanization is to develop the landscape design of rural characteristic towns, most of which belong to the industrial type of rural towns. If the characteristic town can realize the importance of using the concept of Internet technology and improve the application of information technology in the construction of characteristic town, the characteristic rural town will be more unique and detailed, and will also become a unique industrial form, which is conducive to promoting the development of characteristic tourism town. At the same time, with the development of computer technology and image recognition, artificial intelligence technology is gradually applied to production and life. How to use artificial intelligence and image recognition technology to achieve efficient and accurate recognition has become one of the hot issues. In this paper, the image recognition technology on the Internet of Things system is discussed, and the image recognition technology based on GIS is studied to make the data set recognition more accurate. The landscape design of the characteristic rural town is combined with the Internet of Things technology, so that the rural characteristic town has more development prospects.
Solitary patent ductus arteriosus in a Japanese macaque (Macaca fuscata): a case report and genetic investigation
Authors: Jang Young-Jin , Park Byung-Yong , Tae Hyun-Jin , Sim Jeongha , Ahn Dongchoon 
Published: April 2023

Abstract
We present the first report of solitary patent ductus arteriosus (PDA) without associated cardiovascular anomalies in a Japanese macaque (Macaca fuscata). The macaque showed no signs of PDA during its lifetime and lived for 9 years until the PDA was discovered post-mortem. An hourglass-shaped PDA with a total length of 19.8 mm and minimal diameter of 6.7 mm was observed using a silicon casting. Whole-exome sequencing was employed to investigate possible genetic factors related to PDA, and five missense candidate single-nucleotide variants (SNVs) were detected in ADAM15, AZGP1, CSPG4, EPOR, and TNFRSF13B. The conserved nature of the SNV sites in these genes across reference primate species, excluding the macaque, suggests that these mutations may play a role in PDA in macaques. This case report provides new information about solitary PDA in Japanese macaques and broadens the scope of non-human primate research through genetic investigation.
Cow Milk Proteins and Their Role in Type 1 Diabetes Mellitus Development - An In Silico Approach of Possible Molecular Mimicry Mechanism
Authors: Andrade Luís Jesuino de Oliveira , de Oliveira Luís Matos , de Oliveira Luísa Correia Matos , Bittencourt Alcina Maria Vinhaes , Baumgarth Yvana , de Oliveira Gabriela Correia Matos 
Published: April 2023

Abstract
Introduction: Type 1 diabetes mellitus (T1DM) is an autoimmune disease that develops due to the destruction of insulin-producing beta cells in the pancreas by the immune system. Cow milk is one of the dietary factors associated with the development of T1DM, as it contains proteins that may trigger the autoimmune response. Studies in silico have investigated the molecular mimicry mechanisms between cow milk proteins and human beta-cell antigens which may contribute to the development of T1DM in susceptible individuals.
Objective: To analyze in silico the evidence of molecular mimicry between GAD65/ Human insulin and bovine serum albumin (BSA) and beta-lactoglobulin (BLG) as a potential trigger for T1DM.
Method: The in silico analysis was performed using bioinformatics tools to compare the amino acid sequences of cow milk proteins (BSA and BLG) and human beta-cell autoantigens (GAD65 and Human Insulin). The structural and functional characteristics of the proteins were analyzed to identify potential molecular mimicry mechanisms.
Results: The results of the in silico analysis showed significant sequence similarity between BSA and BLG, and GAD65 and Human insulin. The cow's milk proteins evaluated shared structural features with the beta cell antigens selected for comparison, indicating the potential for molecular mimicry between these proteins.
Conclusion: The findings of this study provide further evidence for the potential role of cow milk proteins in the triggering of T1DM. The in silico analysis suggests that molecular mimicry mechanisms between cow milk proteins and human beta-cell antigens may contribute to the autoimmune response that leads to T1DM. This study highlights the importance of dietary factors in the development of T1DM and the need for further research to understand the mechanisms involved.
Reduction of Excess Capacity with Response of Capital Intensity
Authors: Pal Samidh 
Published: April 2023

Abstract
This study aimed to demonstrate the profound impact of reducing excess capacity in terms of capital intensity on the growth rate of labor productivity in the manufacturing industry sector. The research was conducted for PhD study in 2019 across 55 groups of Indian manufacturing industries in six major Indian industrial states, utilizing the modified VES estimation model for data analysis. The results revealed that higher productivity per worker can be achieved by increasing capital per worker, indicating the crucial role of capital intensity in the reduction of excess capacity and productivity growth.
The practical implications of this research suggest that investors should consider the importance of capital investment in improving labor productivity in the manufacturing industry sector. The findings have significant implications for investors, policymakers, and industry stakeholders, highlighting the importance of capital investment in improving labor productivity. Overall, this study provides valuable insights into the relationship between excess capacity, capital intensity, and labor productivity in the manufacturing industry sector, contributing to the existing literature on the subject and providing a basis for further research in this area.
JEL Code: L6, L5.
Anais II JASBI - II Jornada Acadêmica de Saúde Bucal Inclusiva, (UFPR) – Universidade Federal do Paraná - 2022
Authors: Lima Heliton Gustavo de , Sarot João Rodrigo , Lopes Jaqueline do Carmo Machado , Pupo Yasmine Mendes 
Published: April 2023

Caro (a) leitor (a),
A Jornada Acadêmica de Saúde Bucal Inclusiva (JASBI) é um evento científico realizado pelo projeto de extensão Saúde Bucal Inclusiva da UFPR com o objetivo proporcionar conhecimento científico diante do atendimento odontológico e multiprofissional da pessoa com deficiência, parcela muitas vezes desassistida da população, preparando os futuros e/ou profissionais da área para tratamentos de qualidade a estes pacientes. Os principais tópicos abordados no evento foram os cuidados odontológicos com pacientes cardiopatas, diabéticos e com insuficiência renal crônica em diálise; a importância e a atuação do cirurgião-dentista e do odontopediatra na equipe de oncologia; e os aspectos bioquímicos a serem observados no atendimento do paciente diabético. Além disso, parte do evento foi direcionado a apresentação e discussão de trabalhos científicos com mediação por professores da área de atendimento das pessoas com deficiência (PDs). A coordenadora do projeto de extensão Saúde Bucal Inclusiva Profa. Dra. Yasmine Mendes Pupo e presidente do evento reuniu acadêmicos de Odontologia da Universidade Federal do Paraná para compor uma comissão organizadora totalizando 21 colaboradores, internos do projeto e externos. O Prof. Heliton Gustavo de Lima fortaleceu o evento por meio do convite de palestrantes de grande valia à jornada. No total, o evento contou com aproximadamente 300 inscritos de diversas Universidades do Brasil e 70 submissões de trabalhos científicos. O evento favoreceu a maior visibilidade das ações do projeto de extensão vinculado aumentando consideravelmente o número de seguidores no Instagram (sbi_ufpr). A II JASBI, transmitida ao vivo pelo Youtube, aconteceu nos dias 6, 7 e 8 de dezembro de 2022, com temas de extrema relevância para o atendimento odontológico de PDs, o que culminou em cerca de 1000 visualizações das palestras durante a semana do evento. No dia 9, no período da tarde, foram realizadas as apresentações de trabalhos selecionados de forma síncrona e os demais foram disponibilizados em playlist no youtube de forma assíncrona. Os resumos referentes às apresentações síncronas e assíncronas encontram-se no presente anais, assim como, os trabalhos premiados no transcorrer do evento.
Comissão Organizadora / II JASBI – II Jornada Acadêmica de Saúde Bucal Inclusiva (UFPR) Universidade Federal do Paraná -2022
The Association of Gender Based Violence (GBV) with Familial and Social Determinants and Mental Health Status of Bengali Married Working Women: A Cross-sectional Study
Authors: Akter Tasnim , Haque Md. Imdadul , Hasan Md. Zobaer , Muhammad Faisal , Sultana Sharmin , Harun Md. Golam Dostogir , Shahinuzzaman Md. , Humayra Syeda , Islam Md. Monirul , Sharmin Sabina , ABM Alauddin Chowdhury 
Published: April 2023

Background:
Gender Based Violence (GBV) represents a severe violation of women's human rights beyond geographical, cultural, religious, social, and economic aspects. This study aimed to identify the prevalence of GBV, its association with mental health status, and familial and social determinants among the higher socio-economic married working women in Bangladesh.

Methods:
A cross-sectional study was conducted from June to November 2019 among the higher socio-economic married women working in Dhaka. To reach the targeted participants, five hundred sixty participants were recruited using multistage sampling. Women with a minimum graduate degree, monthly income >35000, and working outside were included in this study. A semi-structured questionnaire was used to collect data through a face-to-face interview. Mental health status was measured by 20 items on the CES-D scale. Descriptive statistics and bivariate (unadjusted) and multivariate (adjusted) logistic regression were used to explore the determinants and mental health status.

Results:
The mean age of participants was 35.7 ± 4.8 years. Around 13.6% of women faced GBV. The age, marriage duration, family type, monthly income, parental status, number of children, and education level showed a significant association with GBV. The binary logistic regression model found that the status of mental health was strongly significant in both unadjusted and adjusted models, OR (95% CI) =2.589 (1.577-4.252) and 4.542 (2.362-8.734). Participation in the family's decision-making process was strongly associated with GBV OR (95% CI) = 4.529 (2.332- 8.796). The attitude of the husband or in-laws was strongly significant in both unadjusted OR (95% CI) = 10.605 (4.988 - 22.548) and adjusted models 5.972 (1.836-19.421). Having a good understanding of the husband was strongly significant in two models, OR (95% CI) = 27.383 (13.568 -55.263) and 17.553 (6.160 -50.018). The odds of GBV, if any family members are suffering from chronic disease, were around six-fold higher among married working women in the unadjusted model OR (95% CI) =5.935 (2.791 - 12.623) and almost eight-fold higher in adjusted model 7.679 (2.293 -25.719). Time for attending social obligation was strongly significant in both unadjusted OR (95% CI)= 11.633 (5.239 -25.832) and adjusted model 24.402 (7.511 -79.277).

Conclusion:
The GBV prevalence was comparatively low, and it was found to be related to working women with higher socio-economic status. This issue should not be neglected as it impedes the empowerment of women, which is a global concern and developmental plan. Hence, there is a need to formulate better policies and programs to attain a gender-based, violence-free society.
Nanoneuroscience: Cutting-edge Approach for Disease Management
Authors: Malhotra Sakshi , Jain Neha , Rathee Jatin , Kaul Shreya , Nagaich Upendra , Pandey Manisha , Gorain Bapi , Gupta Gaurav 
Published: April 2023

Abstract:
Neurological disorders (ND) have affected a major part of our society and have been a challenge
for medical and biosciences for decades. However, many of these disorders haven't responded
well to currently established treatment approaches. The fact that many active pharmaceutical ingredients
can't get to their specified action site inside the body is one of the main reasons for this failure. Extracellular
and intracellular central nervous system (CNS) barriers prevent the transfer of drugs from
the blood circulation to the intended location of the action. Utilizing nanosized drug delivery technologies
is one possible way to overcome these obstacles. These nano-drug carriers outperform conventional
dosage forms in many areas, including good drug encapsulation capacity, targeted drug delivery, less
toxicity, and enhanced therapeutic impact. As a result, nano-neuroscience is growing to be an intriguing
area of research and a bright alternative approach for delivering medicines to their intended action site
for treating different neurological and psychiatric problems. In this review, we have included a short
overview of the pathophysiology of neurological diseases, a detailed discussion about the significance
of nanocarriers in NDs, and a focus on its recent advances. Finally, we highlighted the patented technologies
and market trends, including the predictive analysis for the years 2021-2028.
Experimental and Finite Element Investigations on the Biomechanical Consequences of Meniscectomies in the Knee Joint: A Narrative Review
Authors: Devaraj Ashwin Kumar , Acharya Kiran Kumar V. , Adhikari Raviraja 
Published: April 2023

Background:
The knowledge of the complex biomechanical behaviour of the meniscectomised knee joints is of paramount importance in various clinical situations. A combined review of experimental and finite element analysis studies examining the consequences of meniscectomies on the biomechanics of the knee joint has not been reported in the literature. Therefore, this paper presents a combined review of experimental and finite element analysis studies on the biomechanical consequences of medial and lateral meniscectomies in the knee joint.

Methods:
Experimental and FEA investigations on the association between meniscectomies and the biomechanical response of the knee joint are reviewed. The effects of partial and total meniscectomies in the medial and lateral compartments are included in this paper.

Results:
Subtotal/total medial meniscectomies cause a significant decrease in the contact area and a substantial increase in the contact stress in comparison with that in an intact knee joint. This could give rise to severe degeneration of the cartilage surface. Partial medial meniscectomy causes a modest reduction in the contact area associated with a moderate increase in contact stress. The resection of both leaflets of the meniscus results in a substantial increase in the contact pressure and a significant reduction in contact area compared with inferior leaflet resection.

Conclusion:
This review recommends partial medial meniscectomy over subtotal/ total medial meniscectomy. It also suggests performing resection of the inferior leaflet rather than resection of both the leaflets. Finally, some recommendations for future work are suggested to predict the realistic biomechanical behaviour of meniscectomised knee joints.
ОЦІНКА ВПЛИВУ ПЕРЕДОПЕРАЦІЙНОГО ПРИЗНАЧЕННЯ АМІНОКАПРОНОВОЇ КИСЛОТИ НА ПЕРЕБІГ ПІСЛЯОПЕРАЦІЙНОГО ПЕРІОДУ У ПАЦІЄНТІВ ІЗ НАЗАЛЬНИМ ПОЛІПОЗОМ
Authors: І.В. Кошель  , Я.Р. Максименко  
Published: April 2023

Хронічний риносинусит з назальним поліпозом (ХРСзНП) за домінуючим ендотипом включає еозинофільний, який є найтяжчим варіантом. Пацієн- ти, як правило, мають більш тяжкий клінічний перебіг, поліпи ростуть швидко і часто рецидивують. Основним методом оперативного лікування є функціональна ендоскопічна ендоназальна хірургія. Особливості ендоти- пу ХРСзНП обґрунтовують використання амінокапронової кислоти (АКК) для передопераційної підготовки. Метою дослідження є оцінити вплив передопераційного призначення АКК на перебіг раннього післяопераційного періоду у порівнянні з пацієнтами, які отримують стандартну терапію ХРСзНП згідно клінічних рекомендацій. У дослідження включено 120 пацієнтів, розділених на дві групи: основну (n - 60) і контрольну (n - 60). Пацієнтам призначалось базове лікування (іригаційна терапія сольовими розчинами та мометазону фуроат), а в основній групі додатково АКК. Пацієнтам, які підялягали хірургічному лікуванню, проводилась FESS. Для визначення особливостей післяопераційного періоду відібрано 20 пацієнтів – по 10 із кожної групи. Проводився аналіз носового дихання та транспортної функції миготливого епітелію порожнини носа
Використання АКК при ХРСзНП сприяє достовірному зменшенню кількості прооперованих пацієнтів: необхідність хірургічного втручання в основній групі була у 56,7% пацієнтів і 81,7% у контрольній. Результати аналізу динаміки відновлення носового дихання та мукоциліарного кліренсу продемонстрували, що сьома доба післяопераційного періоду завершилось практично повним відновленням носового дихання та транспортної функції миготливого епітелію порожнини носа пацієнтів дослідної і контрольної групи. Відмінності в перебігу післяопераційного періоду статистично не достовірні. Використання АКК додатково до базової терапії пацієнтам, хворим на ХРСзНП на 25% зменшує необхідність хірургічного лікування.

Не відмічено впливу додактвового призначення АКК в передопераційному періоді на перебіг післяопераційного періоду у оперованих пацієнтів.
Ключові слова: Поліпозний риносинусит, амінокапронова кислота, хірургічне лікування.