bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Attitudes of Patients towards using the Seha Application (Telehealth) in Saudi Arabia during the Coronavirus Epidemic
Authors: ALOmari Mohammed Omar , Jenkins Judy
Published: April 2021

Background: The COVID-19 pandemic that was declared in March 2020, caused profound changes to public life across the globe. Restrictions to reduce the spread of the virus were enforced that included staying at home and minimizing social interaction. These changes saw an environment emerge that demanded remote healthcare, and telehealth platforms and applications quickly began to fulfill this demand. One such platform in Saudi Arabia was Seha, a Ministry of Health smartphone application that provides information, self-evaluation, and teleconsultations. Purpose: To explore Seha users’ (patients) attitudes toward the Seha smartphone application during the COVID-19 pandemic. Methods: A qualitative, grounded theory approach using thematic analysis of data collected through open-ended semi-structured interviews with seventeen residents of Jeddah. Results: Three themes emerged – 1) COVID-19 and usage patterns, as Seha helped patients reduce person-to-person contact and usage increased, especially for emergencies; 2) ease of use and access, especially to approved doctors and reliable information; 3) time and cost savings, although it was also noted that these are more readily available to individuals and areas with access to sufficient internet infrastructure. Discussion: Concerns were raised about technical issues or misdiagnoses when using Seha for emergency cases, as the platform may prove unsuitable. Traditional barriers to telehealth adoption seemed to be absent, but these may re-emerge when the immediate crisis is over. Further issues concerned the diminishment of the doctor-patient relationship, especially the lack of information on doctors’ profiles, problems that may be experienced by older people, and lack of language variety. These lead to access problems that may be critical in a pandemic or emergency situation. Finally, the ‘digital divide’ may result in increased health inequality, and such an outcome must be avoided. Conclusion: The pandemic has shown telehealth applications like Seha to be a crucial tool in controlling infection rates, but the loss of face-to-face interaction with medical professionals, technical disparities, and access difficulties for certain groups may present problems for the Saudi health system unless they are taken into account and telehealth is carefully implemented into the system along with appropriate investment in infrastructure.
PRESSÕES AMBIENTAIS E PERCEPÇÕES DE MORADORES NA BACIA DO RIO PARAÍBA DO SUL
Authors:   Universidade do Vale do Paraíba, Silva Oscarina Teodora Prado Santos , Henrique Raquel , Vogt Nathan David , Toniolo Maria Angélica , Valério Filho Mario
Published: April 2021

O presente resumo apresenta uma análise sobre a questão socioambiental acerca dos problemas ambientais na bacia do rio Paraíba do Sul, porção paulista, a partir de uma pesquisa quali-quantitativa com 339 moradores. Esta bacia compõe a Mata Atlântica, cujo 90% das florestas foram desmatadas nos últimos séculos (WILLIAMS, 2006). Atualmente, seus principais problemas ambientais são a as áreas de pastagens degradadas, em uso ou abandonadas, a monocultura de eucalipto, a ocupação urbana, irregular e saneamento precários, (DEVIDE et al., 2014; RONQUIM et al., 2016; SILVA et al. 2017,). Sendo assim, temos como problemática de pesquisa questionar sobre a paisagem regional frágil do ponto de vista ambiental e a capacidade de resiliência e adaptação da paisagem da bacia para choques climáticos extremos, como a crise hídrica de 2013-2015 que acometeu sobretudo a região (MENDES FILHO et al., 2016), a qual teve como consequência, em medida do governo do estado de São Paulo, efetivar a proposta transposição das águas do manancial Jaguari (bacia Paraíba do Sul) ao Atibainha (Sistema Cantareira) (MARENGO, ALVES, 2015), acentuando ainda mais a pressão para a resiliência deste recurso hídrico, que abastece as cidades do Vale do Paraíba, região metropolitana fluminense e agora também a capital paulista.
REPRESENTAÇÃO DO ESPAÇO POR MEIO DE NARRATIVAS: NOVAS ABORDAGENS PARA O SABER URBANO E A LINGUAGEM
Authors:   Universidade do Vale do Paraíba, Costa Aline Cristina Gomes da , Moreira Neto Pedro Ribeiro , Zanetti Valéria Regina
Published: April 2021

A questão que se abre neste trabalho refere-se à necessidade de encontrar novas formas de produzir conhecimento nas Ciências Sociais Aplicadas, mais especificamente no campo do Planejamento Urbano e Regional. Verifica-se uma certa rigidez na escrita acadêmica que acaba por limitar o acesso das discussões ao próprio campo de estudo e seus complementares. O espaço das cidades é o principal tema das pesquisas da área, mas quem constrói as cidades? Quem habita e vive nas cidades? O que estudamos é justamente os caminhos e descaminhos que a sociedade como um todo elabora, porém não participa das reflexões e discussões, tão pouco tem conhecimento da potência da própria experiência como meio de transformação e ação social.
AS EXPRESSÕES DO FATO REGIONAL: ATORES E ESTRATÉGIAS DE PLANEJAMENTO REGIONAL NO PROCESSO DE CRIAÇÃO E INSTITUCIONALIZAÇÃO DA REGIÃO METROPOLITANA DO VALE DO PARAÍBA E LITORAL NORTE, SÃO PAULO
Authors:   Universidade do Vale do Paraíba, Pinto Rosa Maria Scaquetti , Moreira Neto Pedro Ribeiro , Maciel Lidiane Maria
Published: April 2021

A partir da abordagem processual e da economia política, observou-se a metropolização do espaço (LENCIONI, 2017) e as consequências desta. Diante dos efeitos da urbanização extensiva do território (MONTE-MOR, 2006), a pesquisa assumiu as definições do novo regionalismo (HAESBAERT, 2020) e adentrou o campo das políticas urbanas e o histórico das regiões metropolitanas brasileiras, país de dimensão continental, de economia dependente e politicamente dominado por práticas patrimonialistas (OLIVEIRA, 2003; LEITÃO, 2009; FONSECA e MONTEIRO, 2007).Nesse contexto, debruçou-se a analisar o território da RMVPLN e este se apresentou historicamente fragmentado, homogeneizado e hierarquizado (LENCIONI, 2017), sendo que ocorre na RMVPLN, assim como em outras Regiões Metropolitanas da Macrometrópole Paulista (ARAÚJO; FERNANDES; COÊLHO, 2016), os processos de governança metropolitana estão em descompasso com a política existente para essas escalas de organização do território, em especial o Estatuto da Metrópole (TAVARES, 2018). Assim, a pesquisa aqui resumida se dedicou a fazer uma análise processual (BRENNER, 2018) da criação e da institucionalização da Região Metropolitana do Vale do Paraíba e Litoral Norte – RMVPLN, desde a proposição feita em 2012, até 2018, espaço privilegiado de observação do mencionado descompasso.
A IMPORTÂNCIA DA PEQUENA CIDADE DE SOURE, PARÁ, NA REDE URBANA REGIONAL
Authors:   Universidade do Vale do Paraíba, Domiciano Giovanna Vieira , Costa Sandra Maria Fonseca da
Published: April 2021

O trabalho objetiva apresentar uma proposta para avaliar o processo de urbanização de Soure (PA), enfatizando o estudo do Brasil, da região Amazônica e considerando a função e importância da cidade na rede urbana regional. Na presente pesquisa, objetiva-se estudar a cidade de Soure, localizada no Pará (Figura 1), na região leste da Ilha do Marajó no Norte do Brasil. O município possui uma população total de 23 mil habitantes, e em torno de 21 mil habitantes vivendo somente em área urbana (IBGE, 2010). Pode ser considerada, segundo Martine (1993), uma cidade pequena, entre 20 e 50 mil habitantes, que apresenta um padrão de urbanização, considerado por Carmo (2020), muito peculiar, por conta das suas estruturações, com arruamentos largos e bem definidos.
RÁDIO CIDADANIA: A RADIODIFUSÃO “VISTA DO LADO DE CÁ”
Authors:   Universidade do Vale do Paraíba, Toledo André Luiz de , Gomes Cilene , Zanetti Valéria Regina
Published: April 2021

O estudo propõe discutir a radiodifusão no Brasil e rever o papel do Estado dando destaque ao caráter pioneiro da Organização das Nações Unidas para Educação, Ciência e a Cultura (UNESCO) em apoio ao rádio diante do momento de convergência tecnológica e a real contribuição para a conquista da cidadania. Por meio de escutas e interação com as emissoras Rádio MEC AM (800 kHz), os autores apoiam-se na “militância da radioescuta”, prática cidadã que transbordam os limites regionais para que se possa traçar perspectivas teórico metodológicas para pensar a cidade discutindo a dualidade da cidade legal e cidade real.
Learning Sentiment over Network Embedding for Recommendation System
Authors:   Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004 P.R. China, Yochum Phatpicha , Chang Liang , Gu Tianlong , Zhu Manli
Published: April 2021

With the rapid development of Internet, various unstructured information, such as user-generated content, textual reviews, and implicit or explicit feedbacks have grown continuously. Though structured knowledge bases (KBs) which consist of a large number of triples exhibit great advantages in recommendation field recently. In this paper, we propose a novel approach to learn sentiment over network embedding for recommendation system based on the knowledge graph which we have been built, that is, we integrate the network embedding method with the sentiment of user reviews. Specifically, we use the typical network embedding method node2vec to embed the large-scale structured data into a low-dimensional vector space to capture the internal semantic information of users and attractions and apply the user weight scoring which is the combination of user review ratings and textual reviews to get similar attractions among users. Experimental results on real-world dataset verified the superior recommendation performance on precision, recall, and F-measure of our approach compared with state-of-the-art baselines.
Project Reporting Management System with AI based Assistive Features for Text Summarization
Authors: Tan Jin Boon Benjamin , Chen Quan , Yeo Chai Kiat
Published: April 2021

This paper details a proof-of-concept system called Project Reporting Management System (PRMS) to manage the project reporting process in a typical research centre where the process can be manual for many centres. In fact, it is general enough to be scaled up and deployed for a large department or scaled down for a smaller setup in any organization which needs a simple and efficient project progress reporting system but does not entail the kind of complexity and cost of commercial project management systems. Using a research centre scenario, the progress of the individual projects has to be tracked through the periodic submission of progress reports by the Principal Investigator (PI) of the project. The centre will need to consolidate these individual reports manually into a consolidated report and an executive summary for higher management. PRMS automates the tracking of individual projects and reporting deadlines, sends reminders and allows online submission of reports by the PIs. PRMS also incorporates assistive and automated features exploiting Machine Learning (ML) and Natural Language Processing (NLP) techniques to generate the consolidated report and rank sentences of verbose report for assistive text summarization to facilitate the manual process of producing an executive summary.
Early Cost Estimation in Customized Furniture Manufacturing Using Machine Learning
Authors:   Mykolas Romeris University, Ateities str. 20, LT-08303 Vilnius, Lithuania, Kurasova O. , Marcinkevičius V. , Medvedev V. , Mikulskienė B.
Published: April 2021

Accurate cost estimation at the early stage of a construction project is a key factor in the success of most projects. Many difficulties arise when estimating the cost during the early design stage in customized furniture manufacturing. It is important to estimate the product cost in the earlier manufacturing phase. The cost estimation is related to the prediction of the cost, which commonly includes calculation of the materials, labor, sales, overhead, and other costs. Historical data of the previously manufactured products can be used in the cost estimation process of the new products. In this paper, we propose an early cost estimation approach, which is based on machine learning techniques. The experimental investigation based on the real customized furniture manufacturing data is performed, results are presented, and insights are given.
Application of Credit Card Fraud Detection Based on CS-SVM
Authors:   School of Criminal Investigation and Forensic Science, People's Public Security University of China, China, Li Chenglong , Ding Ning , Dong Haoyun , Zhai Yiming ,   School of Law and Criminology, People's Public Security University of China, China
Published: April 2021

With the development of e-commerce, credit card fraud is also increasing. At the same time, the way of credit card fraud is also constantly innovating. Support Vector Machine, Logical Regression, Random Forest, Naive Bayes and other algorithms are often used in credit card fraud identification. However, the current fraud detection technology is not accurate, and may cause significant economic losses to cardholders and banks. This paper will introduce an innovative method to optimize the support vector machine by cuckoo search algorithm to improve its ability of identifying credit card fraud. Cuckoo search algorithm improves classification performance by optimizing the parameters of support vector machine kernel function (C, g). The results demonstrate that CS-SVM is superior to SVM in Accuracy, Precision, Recall, F1-score, AUC, and superior to Logistic. Regression, Random Forest, Decision Tree, Naive Bayes, whose accuracy is 98%.
Development of a Model for Predicting the Direction of Daily Price Changes in the Forex Market Using Long Short-Term Memory
Authors:   School of Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000 Thailand, Pongsena Watthana , Sitsayabut Prakaidoy , Kerdprasop Nittaya , Kerdprasop Kittisak ,   School of Biotechnology, Suranaree University of Technology, Nakhon Ratchasima 30000 Thailand
Published: April 2021

Forex is the largest global financial market in the world. Traditionally, fundamental and technical analysis are strategies that the Forex traders often used. Nowadays, advanced computational technology, Artificial Intelligence (AI) has played a significant role in the financial domain. Various applications based on AI technologies particularly machine learning and deep learning have been constantly developed. As the historical data of the Forex are time-series data where the values from the past affect the values that will appear in the future. Several existing works from other domains of applications have proved that the Long-Short Term Memory (LSTM), which is a particular kind of deep learning that can be applied to modeling time series, provides better performance than traditional machine learning algorithms. In this paper, we aim to develop a powerful predictive model targeting to predicts the daily price changes of the currency pairwise in the Forex market using LSTM. Besides, we also conduct an extensive experiment with the intention to demonstrate the effect of various factors contributing to the performance of the model. The experimental results show that the optimized LSTM model accurately predicts the direction of the future price up to 61.25 percent.
Knowledge Engineering the Web
Authors:   Louisiana Tech University, USA, Choi Ben
Published: April 2021

This paper focuses on the largest source of human knowledge: The Web. It presents the state of the art and patented technologies on search engine, automatic organization of webpages, and knowledge-based automatic webpage summarization. For the patented search engine technology, it describes new methods to present search results to the users and through browsers to allow the users to customize and organize webpages. For the patented classification technology, it describes new methods to automatically organize webpages into categories. For the knowledge-based summarization technology, it presents new technics for computers to "read" webpages and then to "write" a summary by creating new sentences to describe the contents of the webpages. These search engine, classification, and summarization technologies build a strong framework for knowledge engineering the Web.
An Ensemble Framework for Spam Detection on Social Media Platforms
Authors:   Courant Institute of Mathematical Sciences, New York University, New York, NY 10003 USA, Wang Junzhang , Xue Diwen , Shi Karen
Published: April 2021

As various review sites grow in popularity and begin to hold more sway in consumer preferences, spam detection has become a burgeoning field of research. While there have been various attempts to resolve the issue of spam on the open web, specifically as it relates to reviews, there does not yet exist an adaptive and robust framework out there today. We attempt to address this issue in a domain-specific manner, choosing to apply it to Yelp.com first. We believe that while certain processes do exist to filter out spam reviews for Yelp, we have a comprehensive framework that can be extended to other applications of spam detection as well. Furthermore, our framework exhibited a robust performance even when trained on small datasets, providing an approach for practitioners to conduct spam detection when the available data is inadequate. To the best of our knowledge, our framework uses the most number of extracted features and models in order to finely tune our results. In this paper, we will show how various sets of online review features add value to the final performance of our proposed framework, as well as how different machine learning models perform regarding detecting spam reviews.
Classification of Japanese Electrical Equipment Manufacturing Industry Recovery Patterns after Disasters: Case Study of August 2019
Authors:   Science & Education Center (SEC), Ochanomizu University, Japan, Yamaguchi Kenji , Shirota Yukari ,   Faculty of Economics, Gakushuin University, Japan
Published: April 2021

In the paper, we analyze the recovery pattern of Japanese electrical equipment manufacturing companies after the President Trump remark in August 2019. The President’s remark made the companies’ stock prices decreased severely. The research consists of two parts. In the first part, we conducted Random Matrix Theory to extract representative decline/recovery patterns. Then we tagged A/B/C/D to the companies’ recovery types. The class A means a strong recover power. Then as the second part, we conducted machine learning tree-based classification using the tags A/B/C. The predictors are eight variables like ROA, ROE, and VAR. The resultant Decision Tree model provided us with the two different approaches to the class A group. The recovery and repulsion power will be higher in the company with high ROA and in the company that manufactured the product with high VAR. In addition, another class A company group is made and the feature is the high inventory turnover ratio.
Organic Finance Framework: Aligning Financing Complexity with Organisational Complexity (for Innovative Companies)
Authors:   Institute of Information Systems Engineering Research Group for Industrial Software (INSO)), Austria, Pöltner P. , Grechenig T.
Published: April 2021

The organic finance framework is a new tool for managing the challenges of corporate financing. This framework is especially useful for small and medium-sized enterprises in the time of a crisis, such as the COVID-19 pandemic. At its core, the framework forces a rethink of the manner in which companies initiate their financing approach. In contrast to finding potential external sources of finance, the organic finance framework starts by looking at the relevant stakeholders of the company. Alternative financing methods, such as crowdfunding and crowdinvesting, have demonstrated that companies can work with potential future customers at an early stage in the company lifecycle to finance the development of an offering. Thus, the organic finance framework presents a global structural visualisation of the corporate financing domain that can help business owners to better align the lifecycle of a company with its funding sources.
Research Paper on Data-Driven Business Models: Why the Asia-Pacific Region Serves as an Example for the Western Companies? How Might they Improve Their Business Models in 5 Years?
Authors:   BNP Paribas Personal Finance, France, Anastasov Tsvetelin
Published: April 2021

This article is an expansion of Anastasov, T.’s master’s thesis (2019) and attempts to give a clear definition and taxonomy of the Data-Driven Business Models (DDBMs) as well as illustrate data challenges and opportunities that come along with this. These definitions were cross-analyzed with 3 cases from the Asia-Pacific region to deliver concrete insights and inspiration for Western companies to reinvent their businesses in the next 5 years. A comparison between Data-Driven and Data-Centric models was given as well, not previously analyzed in the thesis, as a view on the current state-of-the-art data business models.
Descriptive Analysis of Financial Literacy SMEs in Bandung
Authors: Harianti Asni , Malinda Maya , Tjandra Miki , Kambuno Devas
Published: April 2021

One of the supporting factors for the success of MSME is determined by the intelligence of managing finances or known as financial literacy. Financial literacy is a basic requirement that must be possessed by MSME entrepreneurs which is closely related to the knowledge of personal and business financial management, as well as knowledge to gain access to capital through financial services or institutions. This descriptive study aims to see a picture of the level of financial literacy in SMEs in Bandung. The type of data used in this study are primary data and secondary data Primary data obtained through surveys using a questionnaire to see the level of financial literacy (Financial Fitness Quis / FFQ) developed by O'Neil. The questionnaire consisting of 20 practical financial statements, covering 5 (five) dimensions of financial management, was distributed to 343 SMEs in the city of Bandung. Secondary data obtained through observation and study of literature relating to research problems. The results of the study show that MSMEs in the city of Bandung must take actions that need to be considered in the future to improve their finances to avoid financial difficulties. As a form of concern for MSMEs in the city of Bandung and as a form of support for the government, researchers are trying to alleviate the illiteracy of financial actors of MSMEs through appropriate financial management training and making of a simple financial application program SAKA (peSAK Abdi).
Study of Financial Behaviors Micro Small Medium Enterprise in Bandung, Indonesia
Authors:   Universitas Kristen Maranatha, Jl Suria Sumantri No. 65, Bandung, Indonesia, Malinda Maya , Harianti Asni , Tjandra Miki , Margaretha Yolla , Sunjaya Andre
Published: April 2021

This study has purpose to reveal financial literacy from micro small medium enterprise (MSME) entrepreneurs in Bandung, Indonesia. Divided by three locations, Bojongsoang, Sukajadi and other location in Bandung city. The purpose of this research is to convey MSME behavior of financial literate. Criteria of financial literate are person can understand and practice for financial management, saving/investing, insurance & estate planning, credit, shopping. The method for testing used in this paper build by O’Neill is through Financial Fitness Quiz (FFQ)The result from 276 participants Bojong Soang, Sukajadi and other locations In Bandung, have different results degree. The result for saving/investment, insurance and estate planning, credit, shopping dimension showed low score below 20 points. It has been proven that MSME entrepreneurs need personal financial planning training. This research has purpose for to increase financial literate and to improve positive financial behavior with education and apps program peSak Abdi.
Comparison between Sino-US Trade War and the Opium War of the Qing Dynasty
Authors:   Hong Kong Asian Business School, Hong Kong, Ti Haowei , Hu Zhiyun , Bian Gang
Published: April 2021

The Sino-US trade war has become more and more fierce. From March 2018 to the present, China and the United States have begun to constantly increase tariffs and restrict each other. Negotiations are still going on and it seems that no real progress has been made. Soybean procurement, sanctions against Huawei, chip battles, intellectual property wars, and technology transfer have been escalated, and both sides of the trade have been affected to varying degrees. At the end of 2019, if all the tariffs in the Trump plan were implemented, it meant that almost all goods from China (worth about $550 billion) would be subject to punitive tariffs. First Opium War‘ Britain often called it the first Sino-British war or "commercial war". It was a war of aggression launched by Britain from China from 1840 to 1842, and it was also the beginning of modern Chinese history. In 1840, the British government used Lin Zexu's Humen cigarettes as an excuse to decide to send the expeditionary forces to invade China. In June 1840, the British warships arrived in the Pearl River Estuary in Guangdong, blocking the seaport, and the Opium War began. The Chinese and British sides signed the "Nanjing Treaty", the first unequal treaty in Chinese history. China began to rip land, indemnify, and negotiate tariffs to foreign countries. The Nanjing Treaty seriously endangered China's sovereignty. China began to become a semi-colonial, semi-feudal society, losing its independent status and promoting the disintegration of the natural economy.
Functional and radiological outcome of wedgeless ‘V’ osteotomy for genu valgum in adolescents: a prospective cohort study
Authors: Singh Simran Preet , Gupta Pallav , Choudhary Aamir
Published: April 2021

Background: Genu valgum, commonly called "knock-knee, is a coronal plane angular deformity of knee, which is a common disorder affecting children and adolescents. Distal femoral wedgeless V osteotomy is one of the various methods of treating genu valgum.Methods: A prospective cohort study was conducted between July 2017 to March 2020 in Govt Medical College, Jammu on 28 patients of genu valgum with femoral deformity. A wegdeless V osteotomy was done at the supracondylar level and fixed with K wires. The results were compaired on the basis of radiological parameters such as TFA and MAD. IMD was also compared. The functional outcome was evaluated using Bostman knee score at 6 months of follow-up. 1 patient was lost in follow up and was not included in the study.Results: 27 patients were included in the study with a mean age of 17.5 years (range 15-21 years). The radiological parameters such as TFA showed improvement from a mean of 20.71 to 5.87 postoperatively. IMD decreased from a mean of 13.77 cm to 3.69 cm and MAD from 18.76 mm to 3.03 mm. The functional assessment was made using Bostman score with a mean of 27.1 at final follow up.Conclusions: Supracondylar wedgeless V-osteotomy is an excellent technique for correction of the genu valgum deformity in the adolescent. The learning curve, surgical exposure, and surgical time being minimal. Sparse complications have been reported with this technique as compared to the other type of osteotomies.
The neurobiology of splitbrain crayfish
Authors: Barrera-Mera Baltazar , Granados-Romero Juan José , Vargas-Morales José Juan , Barrera-Calva Elvira , Banegas-Ruiz Rodrigo , Pérez Ortega Emilio , Barajas-Colón José Ángel , Gómez-Mendoza Francisco Fabian , Baca-Domínguez Carlos Rubén , Caprielova Yuri Jiménez , De la Rosa Llergo Román Alberto , Mendoza-Aceves Rodrigo , Abundez-Pliego Ana Lilia , Uriarte-Ruiz Karen , Radilla-Flores Mariana Del Carmen , Espinosa-Queb Nelson Niels , Corona Figueroa Alejandro Ángel , Salazar-Trujillo Bruno Andrés , Valderrama-Treviño Alan I.
Published: April 2021

Background: They crayfish brain is segmented into two symmetrical hemiganglia. Normally both hemiganglia are in direct communication through a series of well-defined neural bridges that cross de midline to form reciprocal cross connections.Methods: An original study was carried out in the Department of Physiology of the Faculty of Medicine, UNAM during the period from August 2019 to August 2020. 13 Crayfish Procambarus clarkii weighing between 1g to 30g were used. Each eyestalk of the animals was tied to a displacement transducer coupled with a polygraph so that optomotor or electrical activity was bilaterally recorded. The separation of the right from the left hemiganglia from the cerebral or supraesophageal ganglion was performed with a sagittal section, splitbrain (SB).Results: The normal photo motor reflex in crayfish eye is measured as a gradual decrease in the ERG amplitude. During tactile stimulation, the visual activation of both eyestalks in normal crayfish leads to a highly regular bilateral activity. The regular activity can only be altered by disturbing the mechanoreceptors located in the shell surrounding the eyestalks.Conclusions: The procedure presented in this article provides unique characteristics for the study of the nervous system such as a detailed response of the bilateral optomotor reflex.
Customized vacuum assisted closure therapy of wounds as a simple and cost-effective technique of wound closure-a prospective observational study from underdeveloped world
Authors: Mir Mushtaq A. , Wani Tajdin , Khan Tahir Saleem , Shah Syed Mushtaq Ahmad , Kumar Ravi , Naikoo Zahoor Ahmed , Bhat Bashir Ahmed
Published: April 2021

Background: Aim of the study was to study the efficacy and cost-effectiveness of indigenously designed customized vacuum assisted closure (VAC) of wounds in our patients. The management of difficult to heal wounds has been the main force that led to the development of advanced gadgets for their management. The technique of vacuum assisted closure has revolutionized the management of difficult to heal wounds and delivers better results as compared to conventional technique. Our aim was to assess the efficacy and cost effectiveness of customized VAC therapy.Methods: This prospective study was conducted in the department of surgery and allied specialties, GMC Srinagar, from June 2018 and September 2020. During this period, 80 patients were subjected to VAC therapy and were included in this study.Results: VAC dressing was used in 80 patients. 55 were males and 25 were females. Most of the wounds in our study were located over lower limbs (70%). RTA was the most common mode of injury followed by fall from height. After the VAC therapy, 78.8% patients were managed by STSG, 11.3% by flap cover, 6.3% by secondary suturing and 3.8% healed by secondary intention. Pain was experienced by 30% of the patients, 7.5% had hypoalbuminemia, 3.8% had surrounding skin maceration. The average total cost of the VAC therapy was 863.13 (±399.82) Indian rupees (11.76 USD). The mean duration of hospital stay for our patients was 22 days.Conclusions: Customized VAC Therapy has revolutionary potential in the management of the difficult to treat wounds as far as its safety, speed and cost effectiveness is considered especially in a setup of poor income nations like ours.
Outcome of dual mobility total hip arthroplasty in patients who are at high risk for dislocation
Authors: Kyavater Basavaraj S. , M. D. Rafeeq , Kumar Sathish , Hallinalli Hemanth P.
Published: April 2021

Background: Dislocation after total hip arthroplasty (THA) remains a major concern, because it is reported to range from 1% to 5%. The concept of dual mobility articulation was developed in 1970 by Bousquet to decrease dislocation risk. Several studies have looked at the outcome of dual mobility articulation in primary THA and in revision THA.

Methods: This is a prospective study of 33 patients undergoing dual mobility THA during 24 months period from October 2017 to September 2019. Patients undergoing total hip replacement (THR) to have dual mobility cup (DMC) were those at high risk of dislocation. Patients were followed up for a mean period of 18 months.

Results: 33 patients (mean age 67 years) underwent DMC THA. 27 patients underwent primary hip replacement. The follow-up of our cases has ranged from 13 months to 3 years with a mean follow-up of 18 months. none of the patients had hip dislocation.

Conclusions: The DMC is an effective solution for the management of high-risk cases undergoing total hip replacement to reduce the incidence of postoperative instability.
Lower pole of patella fractures treated with non-absorbable trans-osseous sutures: an effective surgical method to avoid implant related complications
Authors: Mondal Aniruddha , Das Ayon
Published: April 2021

Background: The treatment option for inferior pole of patella fracture is still being debated. Although tension‑band wiring is the most widely used technique to treat patellar fractures, metal implant‑related complications such as implant failure, palpable hardware are very common and additional procedures are often necessary to treat the complications. The aim of the study was to evaluate the functional results in patients with inferior pole of patella fracture treated by trans-osseous non-absorbable suture fixation.

Methods: Patients who underwent trans-osseous suture fixation by no. 5 Ethibond for post-traumatic distal pole patella fracture were included in the study. This was a prospective study conducted at a tertiary care Government Hospital in Kolkata, between December 2018 to May 2020. All patients were followed up at an interval of 2 weeks, 6 weeks, 12 weeks, 6 months and 9 months. Bostman score was used to assess the functional outcomes of the patients.

Results: Outcome at final follow-up was assessed with Bostman scoring system. In a total of 11 patients, 8 (72.8%) patients showed excellent and 3 (27.2%) patients had good results during the final follow-up. None of the patients demonstrated unsatisfactory result. At the end of 9 months, the average Bostman score for 11 patients was 27.9.

Conclusions: The trans-osseous suturing with non-absorbable sutures is a safe and effective fixation technique for the treatment of distal pole patella fractures. It allows for rapid recovery with minimal implant‑related complications. It also reduces the re-surgery rates significantly.
Clinical outcomes in the treatment of femoral fracture by using intramedullary femur nailing system
Authors: Mishra Shashank , Kumar Mohit , Kumar Prashant , Luthra Gaurav
Published: April 2021

Background: Femoral fractures are frequently occurring fractures that are caused due to large force impaction. The purpose of this study was to clinically evaluate the outcomes of treating femoral fractures with the use of the intramedullary femoral nailing system.

Methods: This retrospective clinical trial consists of 32 patients with femoral fracture and are treated by using an intramedullary femoral nailing system which consists of retrograde femoral nail, gamma nails, expert femoral nail, universal intramedullary cannulated femoral nails that are manufactured by Auxein medical Pvt. Ltd. Sonipat, Haryana, India. There were 32 patients from two different hospitals i.e., first hospital group consist of 15 patients (8 male and 7 female) with mean age of 32 years and the second hospital group consist of 17 patients (9 male and 8 female). The fracture categorization was done on the basis of AO Classification of fracture and physical fitness was categorized by American society of anaesthesiologists. VAS score and HHS was used as a criterion for assessing the clinical outcomes of the patients.

Results: There were 32 patients to whom surgery was performed and follow up time was 1 month, 3 months, 6 months and 12 months. After the final follow up no patient in any group complaint about the complications or any hardware related problem, there were perfect bone union in every patient. Radiological outcomes also showed proper union at 6 months follow up.

Conclusions: For femoral fractures, intramedullary femoral nail gives a better result with high union rate and post-operative composure.
Esferas
Authors: Ayala Andrea , Bahamonde Marisol , Brauer Teresa , Cusot Gustavo , Egas David , Estévez Jesús , Falconí María Gabriela , Garzón Anamaría , Landázuri Andrea , Lasso María Dolores , Ureña Valerio Lenny , Viteri Juan Pablo , Yépez Martha
Published: April 2021

Esta publicación reúne ensayos sobre los proyectos de Vinculación con la Sociedad que se realizan en la Universidad San Francisco de Quito USFQ. Estos textos sirven para comprender la profundidad de relaciones que se establecen con la comunidad, las metodologías de trabajo y las aproximaciones que se realizan desde distintos campos del conocimiento.
SOSYO-BİYO-TEKNİK BAKIM KOMPLEKSİ: TİP 1 DİYABETTE DİJİTAL SAĞLIK TAKİBİ
Authors: ŞAHİNOL Melike , BAŞKAVAK Gülşah
Published: April 2021

Tüm dünyada olduğu gibi Türkiye’de de sağlık sektöründeki teknolojik gelişmeler ve dijitalleşmenin bir yansıması olarak dijital öz-takip (digital self-tracking) teknolojilerinin kullanımı hızla yaygınlaşmaktadır. Bu tür teknolojiler kronik hastalıkların takibinde ve yönetiminde yaygın olarak kullanılmaktadır. Bu çalışmada dijital sağlık verisi üreten öz-takip (self-tracking) cihazı Sürekli Glikoz İzleme Sistemleri’ni (CGM) kullanan Tip 1 diyabetli (T1D) yetişkinlerin ve çocuğu olan ebeveynlerin teknoloji üzerinden farklılaşan bakım biçimlerine ve deneyimlerine odaklanıyoruz. T1D hastalığında dijital öz-takip teknolojisi kullanımının hastalık sürecinde güçlendirici (empowerment) ve güçlendirici olmayan (disempowerment) etkileri ile bu iki etki arasında gelgitler sonucunda ileriye dönük ne gibi sonuçlar ortaya çıkardığı sorusu tıp, beden ve teknoloji sosyolojisi perspektiflerinden araştırılmaktadır. Bu gelgit durumunu “sosyo-biyo-teknik bakım kompleksi” bağlamında dis_empowering olarak kavramsallaştırmaktayız. Araştırmanın verileri İstanbul, Ankara ve İzmir kentlerinde T1D hastalığını CGM ile takip eden yetişkinler ve çocuğu T1D’li olan aileler ile yapılan derinlemesine mülakatlara ve gözlemlere dayanmaktadır.
THE EFFECTS OF EDUCATION ON THE MAJOR LIFE ACTIVITIES OF ROAD TRAFFIC INJURY VICTIMS CONCERNING HEALTH SATISFACTION STATUS
Authors: Waqas  , Alam Intikhab , Shah Mussawar , Nawab Khalid
Published: April 2021

Purpose of the study: To examine the satisfaction of the health status of RTI victims and to measure the association between the satisfaction of health status with the prevailing level of participation of RTI victims in various major life activities.

Methodology: This study follows a cross-sectional research design. A comprehensive interview schedule was designed and pre-tested before the actual process of data collection. For data analysis, SPSS v.20 was run for obtaining univariate, bivariate, and multivariate analysis.

Main Findings: At a bivariate level, it was found that RTI victims were having difficulty in walking, standing, sitting, and dysfunctional memory status had significantly associated with low health satisfaction. Furthermore, at the multivariate level, the victims with low educational status were more likely to report limitations in Major Life Activities (MLA), ultimately affecting their health satisfaction status.

Applications of this study: This research's findings can apply to such studies that emphasize the sociological perspectives for minimizing traffic crashes. Moreover, it also provides the role of education in controlling traffic injuries in the south Asian region.

Novelty/Originality of this study: This study is the first-ever attempt to determine the effects of MLA limitations on the health satisfaction status. Apart from describing the phenomenon from a sociological perspective, the article also enlightens the role of education in minimizing RTI injuries.
BIM Technologies as a Tool in Effective Implementation of the Construction Programs in the Arctic Zone
Authors: Minaev V.A. , Stepanov R.O. , Faddeev A.O.
Published: April 2021

BIM is the rapidly growing technology of information support in design, development, construction and operation of various facilities. In terms of its capabilities to take into account various risk characteristics and the influence of components under study, this information model makes it possible at a higher qualitative level to justify economic and technological decisions during construction in the Arctic zone and to maintain a particular facility entire life cycle. This model is best suited to be introduced in this complex high-risk construction area. BIM technology makes it possible to operate with the most detailed information, when making investment decisions difficult under conditions of building in the Arctic zone. Systemic integration of the BIM technology capabilities with models of the geoinformation systems' geodynamic risks and technologies ensures design, construction and maintenance of modern buildings and facilities at the fundamentally new level of quality and safety assurance, as well as to monitor stability and safety thereof in relation to the Arctic conditions. Mathematical model of the deformation energy migration is presented to evaluate geodynamic stability in the construction areas. It is advisable to take into account geodynamic factors in information simulation using the mathematical model that describes construction area in the form of a system of nodes and of the geological medium tectonic fault abnormalities connecting them and represented in the aggregate in the form of the Kolmogorov system of differential equations
Methods for Formalizing Cognitive Graphics and Visual Models using XML Schemas
Authors: Vlasov A.I. , Zhuravleva L.V. , Kazakov V.V.
Published: April 2021

The paper analyses methods of formalising cognitive graphics and visual models using promising data storage formats. We describe the primary visual design techniques and note that they appear to be rather disconnected. We show that ensuring the coupling of data and knowledge in visual models featuring various levels of detail is the main problem in integrated usage of visual modelling tools. We analyse approaches to solving the semantic discontinuity problem, that is, provided we meet the condition under which the properties of objects, systems and processes under consideration are only input once, it is necessary to ensure that data from models corresponding to different levels of abstraction (expertise) is interconnected. One should assume that the main drawback of existing approaches to visualising complex systems is that these approaches are fragmented and isolated, which means that they will only be effective locally. The paper proposes several approaches to formalising visual models employing XML schemas, which ensures that development processes concerning visual models of various levels of abstraction are synchronised and interconnected. We use a BPMN (Business, Process, Model and Notation) visual model as an example that shows the principles of representing visual model elements by means of XML schemas. The paper provides a detailed analysis of the principles behind layer interaction in the BPMN model through flexible XML description. We show that the BPMN data structure boasts its own XML schema containing all the parameters of a class or an element. The paper presents several examples and a technique of applying an XML schema to a BPMN model, including a further generalisation aimed at formally representing the process models of complex systems
Engineered Estimate of the Design Parameters of a Built-up Jet-Forming Nozzle for Mobile Underwater Waterjet Cutting Systems
Authors: Ilyukhina A.A. , Kolpakov V.I. , Veltishchev V.V.
Published: April 2021

The adaptation of waterjet cutting technology to underwater working conditions will allow solving various tasks when performing underwater technological operations, including maintenance of man-made hazardous objects. The implementation of such technology under water is possible with the application of mobile installations having low power, which imposes certain restrictions on its use. A method for improving the efficiency of mobile installations implementing underwater waterjet cutting is proposed. The method is based on the use of a built-up jet-forming path consisting of a diamond nozzle, an additional transition tube and a standard focusing tube. The structural externality of the diamond nozzle is given. A physical and mathematical model of the process of forming a high-speed jet which implements the technology of underwater hydro- or waterjet cutting, when the flow of a suspension under pressure passes through the jet-forming path of the proposed design, is described. Using calculations based on the developed model and results of field experiments, the effect of the structural element parameters of the built-up jet-forming path on the output characteristics of the formed jet flow is determined. The possibilities of applying such a design for controlling the output characteristics of the formed high-speed jet are assessed and the practicability of its use is indicated.
Influence of Environmentally Friendly Coolant-Lubricants on the Thermal Loading of the Cutting Process When Countersinking
Authors: Skakun V.V. , Dzhemalyadinov R.M. , Aliyev A.I.
Published: April 2021

The paper considers the influence of environmentally friendly coolant-lubricants on the temperature parameters of the cutting process during hole countersinking. Structural steel 20, corrosion-resistant steel 12X18N10T and titanium alloy VT1-0 were selected as the processed materials. Mineral oils, as well as environmentally friendly vegetable oils and esters based on them were used as coolant-lubricants. The coolant-lubricants feed was carried out using an environmentally oriented dosing unit, which allowed the lubricant to be sprayed into the cutting zone in portions of an aerosol, which provided greater penetration and reduced the liquid consumption. The study of the temperature state of the cutting process was carried out using an artificial, chromel-copel thermocouple, the junction of which was placed in the immediate vicinity of the cutting zone. The data obtained when using vegetable oils as a coolant-lubricant in operations running under conditions of pronounced adhesive wear indicate their competitiveness not only with mineral oils, but also with traditionally used oil coolant-lubricants.
Mathematical Model of Dynamic-Kinematic Error of a Harmonic Drive
Authors: Lyuminarsky I.E. , Lyuminarsky S.E. , Balasanyan V.V.
Published: April 2021

Reducing the kinematic error when designing a high-precision drive with a harmonic gear train (HGT) is an urgent task. Currently, a large number of studies have been conducted to determine this parameter, but the effect of the wave generator rotation frequency on the kinematic error of the HGT has been considered insufficiently. A mathematical model is proposed for determining the frequency response of the HGT dynamic-kinematic error, taking into account the elastic interaction of its elements and the error of the cam mounting. The results of the calculated determination of the frequency response of a HGT with a cam wave generator are presented. The presence of several resonant frequencies that occur due to periodic changes in the relative position of the HGT elements and the vector of the cam mounting error is defined. It is proved that the two main resonant frequencies are caused by the rotation of the vector of the cam mounting error relative to the large axis of the wave generator and the balls of the flexible bearing.