bluuebunny/crossref_metadata_2025 huggingface dataset:
Combination of HLA-DRB1 alleles as a factor causing risks of sporadic congenital heart defects and congenital malformations without chromosome diseases
Authors:   Scientific Research Institute for Complex Issues of Cardiovascular Diseases, 6 Sosnovyi Blvd., Kemerovo, 650002, Russian Federation, Shabaldin A.V. ,   Kemerovo State Medical University, 22a Voroshilova Str., Kemerovo, 650056, Russian Federation, Tsepokina A.V. ,   Scientific Research Institute for Complex Issues of Cardiovascular Diseases, 6 Sosnovyi Blvd., Kemerovo, 650002, Russian Federation, Dolgikh O.V. ,   Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 614045, Russian Federation, Shabaldina E.V. ,   Kemerovo State Medical University, 22a Voroshilova Str., Kemerovo, 650056, Russian Federation, Ponasenko A.V. ,   Scientific Research Institute for Complex Issues of Cardiovascular Diseases, 6 Sosnovyi Blvd., Kemerovo, 650002, Russian Federation
Published: April 2021

Congenital heart defects are anomalies that are becoming more and more frequent every year. Their specific weight is the highest among all the defects and malformations in fetus. Besides, children with sporadic congenital heart defects and malformations are still born rather frequently. We made an assumption that congenital heart defects (CHD) and congenital malformations (CM) were formed due to inflammatory process decompensation within «mother – fetus» system occurring in case of a conflict as per HLA between a semi-allogenic fetus and its mother’s microenvironment. A risk of such a conflict might be associated with certain HLA combinations in parents’ genotypes. Our research goal was to reveal peculiarities of HLA-DRB1 alleles combinations in married couples who had children with sporadic CHD and CM without any chromosome diseases and to determine whether such peculiarities could cause risks of congenital anomalies. We determined frequency of 14 alleles in HLA-DRB1 gene in all people who took part in the research. Our research allowed establishing that parents whose children suffered from CHD more frequently had common HLA-DRB104, female HLA-DRB107 with male HLA-DRB113, HLA-DRB117 and female HLA-DRB113 with male HLA-DRB114. Children who suffered from CM more frequently had parents who were homologous as per HLA-DRB112, as well as with female HLA-DRB112 and male HLA-DRB101, HLA-DRB104, HLA-DRB113, and HLA-DRB115; this greater frequency was statistically significant. We also detected an authentic increase in frequency of HLA-DRB112 allele in children against their parents. Children with CM also had HLA-DRB112 allele statistically significantly more frequently than healthy children. Peculiarities related to HLA-DRB1 alleles combination are genetic predictors of CHD and CM occurrence; their determination will allow minimizing risks of such disorders due to early diagnostics and timely prevention.
On certain issues related to chronic exposure to occupational noise and impacts exerted by it on workers’ bodies (literature review)
Authors:   Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 1a Zarechnaya Str., Saratov, 410022, Russian Federation, Spirin V.F. , Starshov A.M. ,   Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 1a Zarechnaya Str., Saratov, 410022, Russian Federation
Published: April 2021

Chronic exposure to noise becomes especially significant when it occurs at workplaces since it results not only in deteriorated life quality of workers but also in disorders in their occupational activities. Occupational sensorineural hearing loss (SHL) holds the 1st rank place among occupational diseases caused by exposure to industrial physical factors. As any other work-related disease, sensorineural hearing loss makes it more difficult to preserve labor resources in the country and leads to significant economic losses. Given that, it is extremely vital to develop procedures for early diagnostics, to determine all possible risks that cause hearing loss directly or indirectly, and to create efficient prevention activities aimed at preserving health of workers exposed to noise at their workplaces. We reviewed literature data published over the last 5–7 years and analyzed more than 100 scientific works on the matter. Our review covers data from 61 sources that are the most relevant regarding tasks we aimed to solve in this research. Literature analysis allowed us to conclude that hearing loss caused by chronic exposure to noise at a workplace was a rather significant problem outlined by occupational medicine experts all over the world. It was shown that noise factor, apart from its direct impacts on the acoustic apparatus, produced apparent negative effects on many organs and systems causing various functional disorders in them which could directly or indirectly exacerbate hearing loss in workers.
Summarizing Analysis of Operation of American Defense Contractor Raytheon Technologies
Authors: Savchenko E. O.
Published: April 2021

The article analyzes the current situation in the American defense contractor Raytheon Technologies and assesses prospects of business development in view of present short- and long-term trends. As events in Karabachos, Syria, Libya and some other countries showed, today we can see the growing importance of war tools in pursuing foreign policy and it makes research and analysis of military-industrial complex companies more topical. Academic literature pays serious attention mainly to companies of the American military-industrial complex, which can be explained by their impact and leading positions on market. At the same time it should be pointed out that these materials demonstrate summarizing nature and do not deal with concrete and specific matters of such companies. The choice of the company Raytheon Technologies was stipulated by the fact that, due to merger with United Technologies, today it is one of the biggest American companies of the defense-industrial complex. Our analysis can support the idea of the high potential of consolidation of the defense-industrial complex sector in Western countries, which can lead to closure of unprofitable (low profitable) capacities and mass reduction of jobs, as well as degrading of technological and other related competences.
Preserving emulsions with plant-based antioxidants
Authors:   AOCS, Guenard Rebecca
Published: April 2021

Food manufacturers are eager to develop functional foods by adding healthy polyunsaturated fatty acids to new products, but they must first develop a natural antioxidant capable of protecting the lipids in an emulsion. Researchers are using AI to help them more quickly identify protein peptides that can act as antioxidants. Synergistic phospholipids and phenolic compounds from plant extracts are other natural antioxidants researchers are exploring.
Interagency Collaboration and National Security
Authors: Phillips Archilus
Published: April 2021

On November 23, 2020, Brigadier-General Archilus Phillips presented Interagency Collaboration and National Security at the 2020 CASIS West Coast Security Conference. Key points of discussion included the perspective of a small state, Trinidad & Tobago, and their security strategies; achievements; challenges; Interagency Collaboration (IAC); the history of Trinidad & Tobago; and Caribbean security. The presentation was followed by a question and answer period.
Relatos de experiências de professores do ensino fundamental em tempos de pandemia: dificuldades enfrentadas em escolas públicas no município de João Pessoa
Authors: Ribeiro Gilvânia , Lima Karla
Published: April 2021

Durante o período de isolamento social, decorrente da pandemia de COVID-19, professores e alunos se viram impossibilitados de frequentar a escola. Todavia, o fator socioeconômico foi o principal problema enfrentado na maior parte das escolas públicas, pois a limitação imposta pela falta de ferramentas digitais prejudicou o acesso igualitário no ensino remoto de milhares de crianças. Neste artigo, expomos o nosso modo de entender sobre como alunos dos anos iniciais do Ensino Fundamental têm se apropriado do conhecimento formal, ainda que de forma remota e desigual. O artigo partirá de uma breve revisão de aspectos teóricos e da legislação de diferentes áreas do conhecimento – educação, sociologia, psicologia e tecnologia – e será complementado com relatos de experiência das autoras: duas professoras de escolas públicas da cidade de João Pessoa-PB, que buscam compreender como a educação vem se adaptando e se reinventando nos tempos de pandemia.
Educação patrimonial em tempos de pandemia: desafios da obra "Ceilândia, minha quebrada é maior que o mundo"
Authors: Dantas Ana Carolina , Januzzi Vinicius , Capelle Suess Rodrigo
Published: April 2021

O livro Ceilândia, minha quebrada é maior que o mundo1 foi lançado em 2020 pela Superintendência do Iphan no Distrito Federal. A obra é o segundo volume da Coleção Patrimônio para jovens, cujo objetivo é levar conteúdos de educação patrimonial a estudantes da rede de ensino local. O processo de produção foi iniciado com a aplicação da ferramenta dos inventários participativos e, posteriormente, com o diálogo entre autores, organizadores e ilustradores. O objetivo do processo era sistematizar e publicitar variadas referências culturais da cidade que são consideradas patrimônios culturais pelos próprios moradores. Ao todo, o livro contou com a participação de 250 pessoas. Durante o desenvolvimento do livro, a pandemia de COVID-19 impôs à equipe de organização uma mudança de estratégias na comunicação entre todos os participantes. Porém, os principais desafios surgiram com o livro pronto: como honrar o trabalho de tantos autores em eventos virtuais e estruturar práticas de ensino remotas que contemplem o patrimônio urbano e a vivência na cidade? Procuramos contornar estas questões, em parte, com base: (i) na própria estrutura do livro, pensada para um público jovem e integrado ao uso de redes sociais, e (ii) na criação de materiais anexos que facilitem o trabalho dos docentes.
1 - O vídeo de apresentação está disponível em https://we.tl/t-ZhFg1OIWEI.
The impact of conscious consumer behavior on environmental friendliness: Saudi Arabia's sustainable vision 2030
Authors:   Deptartment of Administrative Sciences, Community College, University of Bisha, Bisha, Saudi Arabia, et al. Musa
Published: April 2021

The paper discusses the impact of the conscious consumer on environmental friendliness by examining the relationships between determinants of conscious consumer behavior (environmental knowledge, environmental concern, individual's social responsibility, and environmentally conscious behavior) and their effects on environmental friendliness. The proposed theoretical model was tested empirically in the Saudi Arabia environment. They are expending both mixed methods, quantitative analysis of questionnaire data distributed to a sample of 248 students in the University of Bisha in Saudi Arabia using Structural Equation Modeling. Besides, a qualitative analysis of data collected using a semi-structured interview. The results confirm sufficient support for behavior theory and the proposed theoretical model that eco-conscious consumer behavior influences consumer environmental knowledge, environmental concern, individual social responsibility, and environmentally conscious consumer-related mainly to the desire for eco-friendliness. Consumers' actions should be geared towards integrating the factors found for environmentally conscious consumer behavior towards environmental friendliness. Also, discuss the results and guidelines for further study.
Adequate Management of Phosphorus in Patients Undergoing Hemodialysis Using a Dietary Smartphone App: Prospective Pilot Study
Authors: Fakih El Khoury Cosette , Crutzen Rik , Schols Jos MGA , Halfens Ruud JG , Karavetian Mirey
Published: April 2021

Background

The renal diet is complex and requires alterations of the diet and careful monitoring of various nutrients. Elevated serum phosphorus is common among patients undergoing hemodialysis, and it is associated with many complications. Smartphone technology could be used to support both dietitians and patients by providing a source of accessible and reliable information.

Objective

The aim of this pilot is to assess the potential efficacy of an intervention using the educational and self-monitoring mobile app KELA.AE on the phosphorous management in hemodialysis patients. Results will be used to improve both the app and a planned, rigorous large-scale trial intended to assess app efficacy.

Methods

This is a prospective pilot study performed at the hemodialysis unit of Al Qassimi Hospital (Emirate of Sharjah, United Arab Emirates). All patients were assessed for eligibility and, based on inclusion criteria, considered for enrollment. Participants met with a dietitian once a week and used the mobile app regularly for 2 weeks. Outcomes (knowledge, self-reported nonadherence, dietary intake, anthropometry, and biochemical data) were measured. This pilot is reported as per guidelines for nonrandomized pilot and feasibility studies and in line with the CONSORT (Consolidated Standards of Reporting Trials) 2010 checklist for reporting pilot or feasibility trials.

Results

Of 26 subjects, 23 successfully completed the pilot. Patient dietary knowledge about phosphorous management improved from 51.4% (SD 13.9) to 68.1% (SD 13.3) after intervention with a large effect size (d=1.22, 95% CI 0.59 to 1.85). Dietary protein intake increased from a mean of 0.9 g/kg (SD 0.3) per day to a mean of 1.3 g/kg (SD 0.5) per day with a large effect size (d=1.07, 95% CI 0.45 to 1.69). Phosphorus to protein ratio dropped from a mean of 18.4 mg/g protein to 13.5 mg/g protein with a large effect size (d=0.83, 95% CI 0.22 to 1.43). There was no evidence of change in phosphorous intake, self-reported nonadherence, and serum phosphorus.

Conclusions

The findings of this prospective pilot reveal the potential efficacy of a smartphone app as a supportive nutrition education tool for phosphorus management in patients undergoing hemodialysis. This pilot study showed that the KELA.AE app has the potential to improve knowledge and dietary choices. A rigorous randomized controlled trial should be performed to evaluate the efficacy, assessing app use of a long-term intervention.
An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation
Authors: Park Hyung , Song Min , Lee Eun Byul , Seo Bo Kyung , Choi Chang Min
Published: April 2021

Background

In the analysis of electronic health records, proper labeling of outcomes is mandatory. To obtain proper information from radiologic reports, several studies were conducted to classify radiologic reports using deep learning. However, the classification of pneumonia in bilingual radiologic reports has not been conducted previously.

Objective

The aim of this research was to classify radiologic reports into pneumonia or no pneumonia using a deep learning method.

Methods

A data set of radiology reports for chest computed tomography and chest x-rays of surgical patients from January 2008 to January 2018 in the Asan Medical Center in Korea was retrospectively analyzed. The classification performance of our long short-term memory (LSTM)–Attention model was compared with various deep learning and machine learning methods. The area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve, sensitivity, specificity, accuracy, and F1 score for the models were compared.

Results

A total of 5450 radiologic reports were included that contained at least one pneumonia-related word. In the test set (n=1090), our proposed model showed 91.01% (992/1090) accuracy (AUROCs for negative, positive, and obscure were 0.98, 0.97, and 0.90, respectively). The top 3 performances of the models were based on FastText or LSTM. The convolutional neural network–based model showed a lower accuracy 73.03% (796/1090) than the other 2 algorithms. The classification of negative results had an F1 score of 0.96, whereas the classification of positive and uncertain results showed a lower performance (positive F1 score 0.83; uncertain F1 score 0.62). In the extra-validation set, our model showed 80.0% (642/803) accuracy (AUROCs for negative, positive, and obscure were 0.92, 0.96, and 0.84, respectively).

Conclusions

Our method showed excellent performance in classifying pneumonia in bilingual radiologic reports. The method could enrich the research on pneumonia by obtaining exact outcomes from electronic health data.
Voice-Controlled Intelligent Personal Assistants in Health Care: International Delphi Study
Authors: Ermolina Alena , Tiberius Victor
Published: April 2021

Background

Voice-controlled intelligent personal assistants (VIPAs), such as Amazon Echo and Google Home, involve artificial intelligence–powered algorithms designed to simulate humans. Their hands-free interface and growing capabilities have a wide range of applications in health care, covering off-clinic education, health monitoring, and communication. However, conflicting factors, such as patient safety and privacy concerns, make it difficult to foresee the further development of VIPAs in health care.

Objective

This study aimed to develop a plausible scenario for the further development of VIPAs in health care to support decision making regarding the procurement of VIPAs in health care organizations.

Methods

We conducted a two-stage Delphi study with an internationally recruited panel consisting of voice assistant experts, medical professionals, and representatives of academia, governmental health authorities, and nonprofit health associations having expertise with voice technology. Twenty projections were formulated and evaluated by the panelists. Descriptive statistics were used to derive the desired scenario.

Results

The panelists expect VIPAs to be able to provide solid medical advice based on patients’ personal health information and to have human-like conversations. However, in the short term, voice assistants might neither provide frustration-free user experience nor outperform or replace humans in health care. With a high level of consensus, the experts agreed with the potential of VIPAs to support elderly people and be widely used as anamnesis, informational, self-therapy, and communication tools by patients and health care professionals. Although users’ and governments’ privacy concerns are not expected to decrease in the near future, the panelists believe that strict regulations capable of preventing VIPAs from providing medical help services will not be imposed.

Conclusions

According to the surveyed experts, VIPAs will show notable technological development and gain more user trust in the near future, resulting in widespread application in health care. However, voice assistants are expected to solely support health care professionals in their daily operations and will not be able to outperform or replace medical staff.
Latin America and the Caribbean SARS-CoV-2 Surveillance: Longitudinal Trend Analysis
Authors: Post Lori , Ohiomoba Ramael O , Maras Ashley , Watts Sean J , Moss Charles B , Murphy Robert Leo , Ison Michael G , Achenbach Chad J , Resnick Danielle , Singh Lauren Nadya , White Janine , Chaudhury Azraa S , Boctor Michael J , Welch Sarah B , Oehmke James Francis
Published: April 2021

Background

The COVID-19 pandemic has placed unprecedented stress on economies, food systems, and health care resources in Latin America and the Caribbean (LAC). Existing surveillance provides a proxy of the COVID-19 caseload and mortalities; however, these measures make it difficult to identify the dynamics of the pandemic and places where outbreaks are likely to occur. Moreover, existing surveillance techniques have failed to measure the dynamics of the pandemic.

Objective

This study aimed to provide additional surveillance metrics for COVID-19 transmission to track changes in the speed, acceleration, jerk, and persistence in the transmission of the pandemic more accurately than existing metrics.

Methods

Through a longitudinal trend analysis, we extracted COVID-19 data over 45 days from public health registries. We used an empirical difference equation to monitor the daily number of cases in the LAC as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano–Bond estimator in R. COVID-19 transmission rates were tracked for the LAC between September 30 and October 6, 2020, and between October 7 and 13, 2020.

Results

The LAC saw a reduction in the speed, acceleration, and jerk for the week of October 13, 2020, compared to the week of October 6, 2020, accompanied by reductions in new cases and the 7-day moving average. For the week of October 6, 2020, Belize reported the highest acceleration and jerk, at 1.7 and 1.8, respectively, which is particularly concerning, given its high mortality rate. The Bahamas also had a high acceleration at 1.5. In total, 11 countries had a positive acceleration during the week of October 6, 2020, whereas only 6 countries had a positive acceleration for the week of October 13, 2020. The TAC displayed an overall positive trend, with a speed of 10.40, acceleration of 0.27, and jerk of –0.31, all of which decreased in the subsequent week to 9.04, –0.81, and –0.03, respectively.

Conclusions

Metrics such as new cases, cumulative cases, deaths, and 7-day moving averages provide a static view of the pandemic but fail to identify where and the speed at which SARS-CoV-2 infects new individuals, the rate of acceleration or deceleration of the pandemic, and weekly comparison of the rate of acceleration of the pandemic indicate impending explosive growth or control of the pandemic. Enhanced surveillance will inform policymakers and leaders in the LAC about COVID-19 outbreaks.
SARS-CoV-2 Surveillance System in Canada: Longitudinal Trend Analysis
Authors: Post Lori , Boctor Michael J , Issa Tariq Z , Moss Charles B , Murphy Robert Leo , Achenbach Chad J , Ison Michael G , Resnick Danielle , Singh Lauren , White Janine , Welch Sarah B , Oehmke James F
Published: April 2021

Background

The COVID-19 global pandemic has disrupted structures and communities across the globe. Numerous regions of the world have had varying responses in their attempts to contain the spread of the virus. Factors such as public health policies, governance, and sociopolitical climate have led to differential levels of success at controlling the spread of SARS-CoV-2. Ultimately, a more advanced surveillance metric for COVID-19 transmission is necessary to help government systems and national leaders understand which responses have been effective and gauge where outbreaks occur.

Objective

The goal of this study is to provide advanced COVID-19 surveillance metrics for Canada at the country, province, and territory level that account for shifts in the pandemic including speed, acceleration, jerk, and persistence. Enhanced surveillance identifies risks for explosive growth and regions that have controlled outbreaks successfully.

Methods

Using a longitudinal trend analysis study design, we extracted 62 days of COVID-19 data from Canadian public health registries for 13 provinces and territories. We used an empirical difference equation to measure the daily number of cases in Canada as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.

Results

We compare the week of February 7-13, 2021, with the week of February 14-20, 2021. Canada, as a whole, had a decrease in speed from 8.4 daily new cases per 100,000 population to 7.5 daily new cases per 100,000 population. The persistence of new cases during the week of February 14-20 reported 7.5 cases that are a result of COVID-19 transmissions 7 days earlier. The two most populous provinces of Ontario and Quebec both experienced decreases in speed from 7.9 and 11.5 daily new cases per 100,000 population for the week of February 7-13 to speeds of 6.9 and 9.3 for the week of February 14-20, respectively. Nunavut experienced a significant increase in speed during this time, from 3.3 daily new cases per 100,000 population to 10.9 daily new cases per 100,000 population.

Conclusions

Canada excelled at COVID-19 control early on in the pandemic, especially during the first COVID-19 shutdown. The second wave at the end of 2020 resulted in a resurgence of the outbreak, which has since been controlled. Enhanced surveillance identifies outbreaks and where there is the potential for explosive growth, which informs proactive health policy.
Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review
Authors: Karim Jalisa Lynn , Talhouk Aline
Published: April 2021

Background

Due to their ability to collect person-generated health data, digital tools and connected health devices may hold great utility in disease prevention, chronic disease self-monitoring and self-tracking, as well as in tailoring information and educational content to fit individual needs. Facilitators and barriers to the use of digital health technologies vary across demographics, including sex. The “femtech” market is growing rapidly, and women are some of the largest adopters of digital health technologies.

Objective

This paper aims to provide the background and methods for conducting a scoping review on the use of person-generated health data from connected devices in women’s health. The objectives of the scoping review are to identify the various contexts of digital technologies in women’s health and to consolidate women’s views on the usability and acceptability of the devices.

Methods

Searches were conducted in the following databases: Medline, Embase, APA PsycInfo, CINAHL Complete, and Web of Science Core Collection. We included articles from January 2015 to February 2020. Screening of articles was done independently by at least two authors in two stages. Data charting is being conducted in duplicate. Results will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist.

Results

Our search identified 9102 articles after deduplication. As of November 2020, the full-text screening stage is almost complete and data charting is in progress. The scoping review is expected to be completed by Fall 2021.

Conclusions

This scoping review will broadly map the literature regarding the contexts and acceptability of digital health tools for women. The results from this review will be useful in guiding future digital health and women’s health research.

International Registered Report Identifier (IRRID)

DERR1-10.2196/26110
Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study (Preprint)
Authors: Schueller Stephen M , Neary Martha , Lai Jocelyn , Epstein Daniel A
Published: April 2021

BACKGROUND

Supporting mental health and wellness is of increasing interest due to a growing recognition of the prevalence and burden of mental health issues. Mood is a central aspect of mental health, and several technologies, especially mobile apps, have helped people track and understand it. However, despite formative work on and dissemination of mood-tracking apps, it is not well understood how mood-tracking apps used in real-world contexts might benefit people and what people hope to gain from them.

OBJECTIVE

To address this gap, the purpose of this study was to understand motivations for and experiences in using mood-tracking apps from people who used them in real-world contexts.

METHODS

We interviewed 22 participants who had used mood-tracking apps using a semistructured interview and card sorting task. The interview focused on their experiences using a mood-tracking app. We then conducted a card sorting task using screenshots of various data entry and data review features from mood-tracking apps. We used thematic analysis to identify themes around why people use mood-tracking apps, what they found useful about them, and where people felt these apps fell short.

RESULTS

Users of mood-tracking apps were primarily motivated by negative life events or shifts in their own mental health that prompted them to engage in tracking and improve their situation. In general, participants felt that using a mood-tracking app facilitated self-awareness and helped them to look back on a previous emotion or mood experience to understand what was happening. Interestingly, some users reported less inclination to document their negative mood states and preferred to document their positive moods. There was a range of preferences for personalization and simplicity of tracking. Overall, users also liked features in which their previous tracked emotions and moods were visualized in figures or calendar form to understand trends. One gap in available mood-tracking apps was the lack of app-facilitated recommendations or suggestions for how to interpret their own data or improve their mood.

CONCLUSIONS

Although people find various features of mood-tracking apps helpful, the way people use mood-tracking apps, such as avoiding entering negative moods, tracking infrequently, or wanting support to understand or change their moods, demonstrate opportunities for improvement. Understanding why and how people are using current technologies can provide insights to guide future designs and implementations.
Catching-up on Research Related to AI-based Tools Implementation in Clinical Settings : Viewpoint (Preprint)
Authors: Poba-Nzaou Placide , Kume Naoto , Kobayashi Shinji , Galani Malatsi
Published: April 2021

UNSTRUCTURED

There is a consensus among researchers and practitioners recognizing that the use of artificial intelligence (AI)-based tools can provide high benefits in addition to having significant impacts not only on the practice of medicine but also on medical training and education. At the same time, although the development of AI-based tools is progressing rapidly in the field of medicine, their implementation in clinical care practice situations has not yet become a generalized reality. This situation is partially due to the paucity of knowledge related to their implementation practices. Hence, investigating AI-based tool implementation best practices is crucial not only for their acceptance by the main stakeholders, but also for generating the expected benefits.
Consequently, there is a pressing need to design best practices for implementing AI-based tools in clinical care practice settings.
This view point is a calling that provides three axes of research worth pursuing to bridge the gap between the rapid development of AI-based tools in the field of medicine and their actual implementation in clinical care practice settings and thus it should be of interest to health professionals and researchers.
Las Normas Internacionales de Información Financiera y su relevancia informativa: evidencia empírica en empresas cotizadas de Colombia
Authors: Católico Segura Diego Fernando
Published: April 2021

Este artículo expone el efecto de la adopción de las Normas Internacionales de Información Financiera (NIIF) en la revelación de información en empresas cotizadas en Colombia y examina la asociación entre el nivel de cumplimiento de los requisitos de revelación de las NIIF y las características de las empresas, como posibles impulsores adicionales de la revelación de información. Se realiza un análisis de contenido de las notas de los estados financieros publicados en los años 2014 y 2015 de compañías cotizadas colombianas para observar el cumplimiento de los requisitos de revelación y se hace uso de un modelo de Mínimos Cuadrados Ordinarios con datos de corte transversal para establecer sus posibles determinantes. El estudio evidenció una mejoría en la revelación de la información contable, a partir de la adopción de las NIIF y se determinó que la internacionalización de las compañías tiene una relación positiva y significativa con la mayor revelación de información.
Estudio de la progresividad del Impuesto Sobre la Renta de personas Físicas en México
Authors: Ramírez Cedillo Eduardo
Published: April 2021

La inequidad en la distribución del ingreso es una constante que se repite en todo el mundo en mayor o menor medida, los países desarrollados generalmente son menos inequitativos que los países en vías de desarrollo. Uno de los instrumentos que son utilizados con frecuencia para intentar reducir la inequidad y mejorar la distribución son los impuestos directos, particularmente los destinados a las personas, ya que pueden diseñarse de tal manera que resulten progresivos. La disyuntiva en el tema de la progresividad impositiva tiene que ver con la magnitud y qué tanto se mantiene, dados los incrementos del ingreso de las personas. A raíz de que el SAT (Servicio de Administración Tributaria) apertura la información de las declaraciones fiscales de forma anónima, es posible analizar la progr sividad en México para diferentes tipos de contribuyente. En este documento se optó por el ISRPF (Impuestos Sobre la Renta de Personas físicas) para los años de 2010 a 2015, los resultados ofrecen evidencia de progresividad y cambios en la concentración y distribución del ingreso aun cuando resultan insuficientes para modificar la distribución del ingreso en el mediano plazo.
Conflictos familiares y económicos en universitarios en confinamiento social por COVID-19
Authors: Robles Mendoza Alba Luz , Junco Supa Jenny Elsa , Martínez Pérez Vania Montserrat
Published: April 2021

Introducción: El impacto de la epidemia por COVID 19 ha afectado a nivel mundial, donde los estudiantes universitarios no estuvieron exentos de las consecuencias psicosociales y socioemocionales a causa del confinamiento social de esta pandemia. Objetivo: Identificar los conflictos familiares y económicos que se presentan en universitarios ante el confinamiento social por COVID 19. Método: Se aplicó un instrumento en línea a estudiantes de la FES Iztacala UNAM integrado por 8 categorías, de las cuales dos de ellas eran preguntas abiertas relacionadas con las consecuencias del confinamiento pandémico. Se hicieron categorías de acuerdo con el análisis de contenido de las respuestas. Resultados: Se encontraron en la categoría de conflictos familiares las subcategorías de: violencia familiar, duelos emocionales por muertes de familiares, problemas de invasión a la privacidad de espacios personales e incremento del estrés y ansiedad ante las nuevas dinámicas familiares. Para la categoría de problemas económicos hubo tres subcategorías: preocupación por la economía nacional, ajuste del presupuesto familiar y problemas económicos personales que afectan al estudiante. Conclusiones: La intervención de profesionales de la salud requiere de acciones que faciliten y fortalezcan las habilidades en universitarios para enfrentar los procesos socioemocionales relacionados con la familia y la economía, resultante de confinamientos sanitarios.

 
Características de las explicaciones docentes en clases universitarias de química
Authors: Sánchez Germán Hugo , Quintero Teresa , Lorenzo María Gabriela
Published: April 2021

Las clases universitarias se caracterizan por ser de tipo magistral, sin embargo, quedan por describir los atributos que son propios de las explicaciones de tópicos específicos de química con la complejidad inherente a la enseñanza en este nivel. Consecuentemente, analizar los recursos en el discurso del profesorado resulta un tema clave para revisar la enseñanza universitaria de la química. Se presenta una investigación descriptiva con enfoque cualitativo de las explicaciones en clase de dos profesores de química empleando elementos del análisis del discurso, considerando los recursos utilizados, el lenguaje científico y los niveles representacionales de la química. Ambos profesores recurrieron a un material escrito y variados recursos discursivos entre los que se destacaron las experiencias imaginadas, con una alta densidad de lenguaje técnico, fuertemente anclado en el nivel macroscópico en permanente interacción con el nivel simbólico. Se propone una profundización del nivel macroscópico. Finalmente, se reflexiona sobre la importancia de la formación didáctica del profesorado universitario.
Analysis of multidimensional poverty dynamics in Indonesia: The effect of demographic and institutional factors
Authors: Najitama Esha , Maski Ghozali , Manzilati Asfi
Published: April 2021

Measuring poverty only from a monetary perspective is lacking. Given the variety of human needs, poverty needs to be measured multidimensionally. Hence, this study analyzes multidimensional poverty dynamics and identifies its determinants from the demographic and institutional factors. Using the Multidimensional Poverty Index (MPI) and data from the two survey periods of the Indonesia Family Life Survey (IFLS), it is known that multidimensional poverty tends to be transient rather than chronic. The highest education level of the head of the household, the level of dependency, the island of residence, the village political system, and the village government's corruption affect both chronic and transient poverty categories. The marital status of household heads, household size, and customary norms only affected the chronic poor category
Mixed-Integer Linear Programming Model for Production Planning: A Case Study at Sawn Timber Production
Authors: Riskadayanti Octavia , Hisjam Muhammad , Yuniaristanto Y
Published: April 2021

The sawmill industry is an industry that processes logs into sawn timber products through several processes to maximize profits and meet customer demand. The process involves essential operations that have to be coordinated to get the desired product with the available resources optimally. Efficient operations can be achieved through optimal production planning by considering some factors to optimize the number of sawn timber product combinations. Optimal production planning is expected to have an impact, such as reducing the use of raw materials that can affect inventory and procurement. In this research, the author has developed a mathematical model for production planning to determine the optimal number of sawn timber product combinations. Problems were solved using mixed-integer linear programming methods with mathematical modeling that aimed for maximizing profit. Production costs, raw material costs, and purchasing costs were critically considered in this mathematical modeling. The result showed that using the developed model could integrate the factors above, fulfill the demand, and increase company income.
Completion of FCVRP using Hybrid Particle Swarm Optimization Algorithm
Authors: Ali Muhammad , Farida Baiq Nurul  Izzah
Published: April 2021

The issue of green logistics has received full attention from the government and business people. It is closely related to the increase in Green House Gas (GHG) by transportation activities in the logistics sector. Controlling fuel consumption in transportation activities is fundamental in dealing with GHG. Therefore, the Fuel Consumption Vehicle Routing Problem (FCVRP) is proposed as a solution model in optimizing fuel consumption in the logistics sector. This study aims to develop a Hybrid Particle Swarm Optimization (HPSO) algorithm to solve the FCVRP problem. The proposed algorithm is the development of the PSO algorithm with local procedures search. Several experiments were carried out to determine the HPSO parameter's effect on minimizing fuel consumption in the FCVRP. The experiment results show that increasing the population and iteration parameters can produce minimum fuel consumption. Furthermore, the smaller the total fuel consumption produced when the kilometers per liter (KPL) high.
Cerpen Agama Apa yang Pantas Bagi Pohon- Pohon? Karya Eko Triono sebagai Media Kritik Alternatif terhadap Masyarakat Postmodernisme
Authors: Sastra Yulaika Ranu
Published: April 2021

Masyarakat modern saat ini telah mengalami perubahan secara signifikan baik dari segi pola pikir, maupun tingkah laku. Perubahan ini bertentangan dengan hakikatnya sebagai manusia modern. Pergeseran tatanan norma-norma tersebut memunculkan teori posmodernisme. Dari postmodernisme inilah bermunculan pula berbagai kritik terhadap manusia sebagai subjek kehidupan. Seiring berkembangnya zaman, beragam teori dan aliran sastra pun bermunculan untuk membedah karya. Karya sastra dikaitkan berdasarkan teori yang tepat agar maksud si penulis tersampaikan kepada pembaca melalui penafsir. Ada pun mata pisau untuk membedah cerita pendek Agama Apa yang Pantas bagi Pohon-Pohon? karya Eko Triono menggunakan pendekatan postmodernisme. Cerpen ini dipilih sebagai media kritik alternatif karena mewakili kehidupan manusia modern. Terdapat beberapa hasil terhadap penelitian postmodernisme dalam cerpen tersebut, yakni manusia posmodern mengesampingkan pemahaman agama sedini mungkin kepada anak, ketidaksiapan manusia postmodern menghadapi realita, masalah diri sendiri dengan orang lain dan masyarakat, manusia postmodern tidak lagi mengindahkan kedamaian, dan permasalahan percintaan masyarakat postmodern saat ini.
On Best Proximity Points of Generalized Almost-F-Contraction Mappings
Authors: Salamatbakhsh Mahdi , Hamlbarani Haghi Robab
Published: April 2021

We provide some results about best proximity points of generalized almost-$F$-contraction mappings in metric spaces which generalize and extend recent  fixed point theorems. Also, we give an example to illustrate  our main result.
Measure of Non-Compactness in The Study of Solutions for A System of Integral Equations
Authors: Karakaya Vatan , Mursaleen Mohammad , Bouzara Nour El Houda , Sekman Derya
Published: April 2021

In this work, we prove the existence of solutions for a tripled systemof integral equations using some new results of fixed point theory associated withmeasure of noncompactness. These results extend the results in some previousworks. Also, the condition under which the operator admits fixed points is moregeneral than the others in literature.
On phi-2-Absorbing phi‎-2-Absorbing Primary Hyperideals of A Multiplicative Hyperring
Authors: Anbarloei Mahdi
Published: April 2021

‎Let $R$ be a multiplicative hyperring‎. ‎In this paper‎, ‎we extend the concept of 2-absorbing hyperideals and 2-absorbing primary hyperideals to the context ‎$‎\varphi‎$‎-2-absorbing hyperideals and ‎$‎\varphi‎$‎-2-absorbing primary hyperideals. Let ‎$‎E(R)‎$‎ be the set of hyperideals of ‎$‎R‎$‎‎ and ‎$\varphi : E(R) \longrightarrow E(R) \cup \{\phi\}‎$‎ be a function. A nonzero proper hyperideal ‎$‎I‎$‎ of ‎$‎R‎$‎ is called a ‎$\varphi‎$‎- 2-absorbing hyperideal if for all ‎$x, y, z \in R, xoyoz \subseteq I- \varphi(I)‎$‎ implies‎$xoy \subseteq I‎$‎ or ‎$‎yoz \subseteq I‎$‎ or ‎$‎xoz \subseteq I‎$‎. Also, a nonzero proper hyperideal ‎$‎I‎$‎ of ‎$‎R‎$‎ is called a ‎$\varphi‎$‎- 2-absorbing primary hyperideal if for all ‎$x, y, z \in R, \ xoyoz \subseteq I- \varphi(I)‎$‎ implies‎$xoy \subseteq I‎$‎ or ‎$‎yoz \subseteq r(I)‎$‎ or ‎$‎xoz \subseteq r(I)‎$‎. A number of results concerning them are given.
On The Geometric Continued Fractions in Positive Characteristic
Authors: Driss Sana , Kthiri Hassen
Published: April 2021

In this paper we study another form in the field of formal power series over a finite field. If the continued fraction of a formal power seriesin $\mathbb{F}_q((X^{-1}))$ begins with sufficiently largegeometric blocks, then $f$ is transcendental.
Trees with Four and Five Distinct Signless Laplacian Eigenvalues
Authors: Taghvaee Fatemeh , Fath-Tabar Gholam Hossein
Published: April 2021

‎‎Let $G$ be a simple graph with vertex set $V(G)=\{v_1‎, ‎v_2‎, ‎\cdots‎, ‎v_n\}$ ‎and‎‎edge set $E(G)$‎.‎The signless Laplacian matrix of $G$ is the matrix $‎Q‎‎=‎D‎+‎A‎‎$‎, ‎such that $D$ is a diagonal ‎matrix‎%‎‎, ‎indexed by the vertex set of $G$ where‎‎%‎$D_{ii}$ is the degree of the vertex $v_i$ ‎‎‎ and $A$ is the adjacency matrix of $G$‎.‎%‎ where $A_{ij} = 1$ when there‎‎%‎‎is an edge from $i$ to $j$ in $G$ and $A_{ij} = 0$ otherwise‎.‎The eigenvalues of $Q$ is called the signless Laplacian eigenvalues of $G$ and denoted by $q_1$‎, ‎$q_2$‎, ‎$\cdots$‎, ‎$q_n$ in a graph with $n$ vertices‎.‎In this paper we characterize all trees with four and five distinct signless Laplacian ‎eigenvalues.‎‎‎
Sliding Window Rough measurable function on $I-$ core of triple sequences of Bernstein operator
Authors: Rai Deepmala , Subramanian N.
Published: April 2021

We introduce sliding window rough $I-$ core and study some basic properties of Bernstein polynomials of rough $I-$ convergent of triple sequence spaces and also study the set of all Bernstein polynomials of sliding window of rough $I-$ limits of a triple sequence spaces and relation between analytic ness and Bernstein polynomials of sliding window of rough $I-$ core of a triple sequence spaces.
On The Total Edge and Vertex Irregularity Strength of Some Graphs Obtained from Star
Authors: Ramdani Rismawati , Salman A.N.M , Assiyatun Hilda
Published: April 2021

Let $G=(V(G),E(G))$ be a graph and $k$ be a positive integer. A total $k$-labeling of $G$ is a map $f: V(G)\cup E(G)\rightarrow \{1,2,\ldots,k \}$. The edge weight $uv$ under the labeling $f$ is denoted by $w_f(uv)$ and defined by $w_f(uv)=f(u)+f(uv)+f(v)$. The vertex weight $v$ under the labeling $f$ is denoted by $w_f(v)$ and defined by $w_f(v) = f(v) + \sum_{uv \in{E(G)}} {f(uv)}$. A total $k$-labeling of $G$ is called an edge irregular total $k$-labeling of $G$ if  $w_f(e_1)\neq w_f(e_2)$ for every two distinct edges $e_1$ and $e_2$  in $E(G)$.  The total edge irregularity strength of $G$, denoted by $tes(G)$, is the minimum $k$ for which $G$ has an edge irregular total $k$-labeling.  A total $k$-labeling of $G$ is called a vertex irregular total $k$-labeling of $G$ if  $w_f(v_1)\neq w_f(v_2)$ for every two distinct vertices $v_1$ and $v_2$ in $V(G)$.  The total vertex irregularity strength of $G$, denoted by $tvs(G)$, is the minimum $k$ for which $G$ has a vertex irregular total $k$-labeling.  In this paper, we determine the total edge irregularity strength and the total vertex irregularity strength of some graphs obtained from star, which are gear, fungus, and some copies of stars.
An Analysis of A Three-Phase Versus A Four-Phase Traffic Lights Regulation for A Four-Leg Intersection
Authors: Pudjaprasetya Sri Redjeki , Noor Dear Michiko
Published: April 2021

Traffic management of intersections is an important factor that can determine traffic density at the intersection, as well as its surrounding. Long traffic queues we encounter in daily life, were often caused by ineffectiveness of traffic lights management of the cross sections.In this article, an analytic study of traffic light management of a four-leg intersection, based on the kinematic LWR model, was presented. Comparison was based on observing the end of queues over three cycles of red-green lights, under the assumption of a constant traffic flux. On every leg of the intersection, the end of the queues were obtained from characteristic lines of the shock waves.From these observations, the three phase regulation was preferred over the four-phase one. Finally, a case study of Taman Sari - Baltos intersection located in Bandung City, Indonesia, was discussed. Parameter values used in these simulations were obtained from direct observation.
Some Weighted Inequalities for Higher-Order Partial Derivatives in Two Dimensions and Its Applications
Authors: Erden Samet , Sarikaya M. Zeki
Published: April 2021

We establish some Ostrowski type inequalities involving higher-order partial derivatives for two-dimensional integrals on Lebesgue spaces (L_{∞}, L_{p} and L₁). Some applications in Numerical Analysis in connection with cubature formula are given. Finally,  with the help of obtained inequality, we establish applications for the kth moment of random variables.