bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INDIGENIST TURN IN MAMANG DAI’S POETRY
Authors: Priyanka Sarmah
Published: April 2024

Postcolonial studies have progressed with time. With the old concepts new concepts have been brought in. “The First People’s Theory” is a recent concept of postcolonial studies. Indigenous culture all over the world which was almost erased by the Colonial rule are given importance and looked at anew through this theory. In India especially rmahin Northeast India we have many tribal communities. The endeavor to represent and reclaim the history, identity and cultures of these different communities is the domain on which this theory works on. This is also what is called the process of decolonization. There is no doubt that change is an inevitable. Cultures all over the world go through this process of change. But there has to be continuity. The present should follow from the past and the future from the present. Mamang Dai belongs to the Aadi tribe of Arunachal Pradesh. Though her works she reclaims her tribe’s history and culture and explores her identity and roots. Her work also has a universal appeal. Her poetry can be taken as a quest to re-establish the roots of her culture and society and break the colonist’s re- defined ideas and ideals about her tribe and for this she uses the colonizer’s language as a tool. In this aspect she can be compared to writers like Pablo Neruda, Chinua Achebe and Derek Walcott.
A STUDY TO ASSESS THE KNOWLEDGE REGARDING SUBSTANCE ABUSE AMONG MEDICAL STUDENTS OF HIMACHAL PRADESH
Authors: Aekta Dogra  , Dr. Jitendra Kumar Tiwari  , Dr. O. P. Bhardwaj
Published: April 2024

A quantitative descriptive study design was used to assess knowledge regarding substance abuse among medical students of the state. The sample consisted of the100 medical students. In all, 100 students are taken half of boys and half of girls. Sampling technique used for the current study was random cum purposive. Self made substance abuse knowledge test was used to collect the data.  The structured questionnaire composed of 52 questions based on knowledge  regarding  meaning of  substance  and harmful diseases due to excessive use of substance. The results were analysed by statistical technique of mean, standard deviation and t-test

Background :-

Medical students are backbone of the society. Their knowledge regarding effects of substance abuse is an important and must thing for the society. As not only their knowledge about medicines, but even their personality also affects society. The students of MBBS and BAMS were taken purposively  to relation to their gender and area for the propagation of  awareness regarding substance abuse.
Assimilação e transmissão do valor econômico da água no contexto rural do Sistema Cantareira, em Minas Gerais
Authors: Chiodi Rafael Eduardo , Machado e Souza João Pedro
Published: April 2024

A Política Nacional de Recursos Hídricos estabeleceu a água como sendo um recurso limitado e dotado de valor econômico. Contudo, a difusão deste fundamento é colocada em questão em contextos rurais. Diante disto, buscou-se analisar como a concepção do valor econômico da água ressoa das instâncias criadas para a gestão dos recursos hídricos até os gestores públicos que atuam a nível local e, destes, para os usuários rurais de água. Para tanto, foram entrevistados gestores públicos dos quatro municípios que englobam o território de Minas Gerais do Sistema Cantareira. Identificou-se que os gestores públicos assimilaram a concepção do valor econômico da água como base para promover sua gestão em áreas rurais, especialmente por perceberem que não há processos de gestão nestas áreas e por participarem ativamente dos comitês de bacias hidrográficas. No entanto, o próprio arranjo institucional criado pela PNRH não possibilita que estes gestores atuem para que esta concepção seja transmitida aos usuários rurais. A não difusão do valor econômico da água abre oportunidades para se repensar a predominância do valor econômico sobre outros valores que embasam a gestão da água em contextos rurais.
Assessing dissolved oxygen dynamics in Pasig River, Philippines: A HEC-RAS modeling approach during the COVID-19 pandemic
Authors: Casila Joan Cecilia C. , Nicolas Mary Divina , Duka Maurice , Haddout Soufiane , Priya K. L. , Yokoyama Katsuhide
Published: April 2024

The water quality in Pasig River has been impacted by urbanization, industrialization, and the pandemic conditions. This study involved comparative analysis of dissolved oxygen (DO) levels before and during the pandemic. Field measurements, including water temperature, salinity, and DO, were conducted during neap and spring tides. To further understand and simulate DO distribution, a one-dimensional mathematical model, specifically Hydrologic Engineering Center-River Analysis System, was employed. Results showed that DO increased during the pandemic, ranging from 3.26 to 7.25 and 1.08 to 5.69 mg/L during neap and spring tide. From the minimum standard DO level, out of eight stations, seven passed during neap tide, while one station passed during spring tide. Salinity levels were higher during spring tide, which may have affected the DO. Salt intrusion was evident until 4 km from the confluence. The hydraulic model yielded average water level differences of 5.1 and 8.3 cm during calibration and validation, respectively. The DO calibration and simulation exhibited very good statistical evaluation outcomes, with values of 0.9 for Nash-Sutcliffe Efficiency and 0.3 for Root Mean Standard Deviation Ratio. These findings hold significant potential for formulation of water quality enhancement plans and implementation of solid waste management and pollution policies.
Dinámicas divergentes de la inmigración por inseguridad y violencia en México
Authors: Rodríguez-Chávez Oscar
Published: April 2024

A pesar del aumento de la migración por inseguridad y violencia en México desde la década de 2000, se desconocen sus patrones geográficos y diferencias por tipos de migración: municipal, estatal e internacional. A partir del Censo de Población y Vivienda 2020 y mediante el uso de modelos de regresión y de análisis espacial, esta investigación muestra la asociación entre la migración y la violencia en los municipios de destino. Los resultados indican que los inmigrantes municipales tendieron a desplazarse principalmente hacia municipios con altas tasas de violencia, mientras que los inmigrantes estatales se dirigieron principalmente a municipios con bajos niveles de violencia. Por otro lado, los inmigrantes internacionales se dirigieron particularmente a ciudades fronterizas con variados niveles de violencia. En consecuencia, la relación entre las tasas de inmigración y las tasas de violencia de los lugares de destino varía según el tipo de migración y las fronteras geográficas cruzadas.
Biografia de Ana Maria Santos: trajetória formativa e docência de uma mulher negra
Authors: Costa Maria Aparecida Alves da , Lima Engracia Gomes de Oliveira , Stascxak Francinalda Machado
Published: April 2024

Esta pesquisa trata da biografia da professora Ana Maria Santos. Ana Maria é uma professora que dedicou sua experiência de mais de 30 anos na docência em escolas públicas do município de Tauá/CE, localizado no sertão dos Inhamuns. Este estudo objetivou biografar a professora Ana Maria com ênfase em sua trajetória formativa, bem como na sua atuação docente entre os anos de 1965 e 2018. A pesquisa amparou-se teoricamente na História Cultural e metodologicamente na História Oral, em que utilizamos como técnica de coleta as entrevistas livres em História Oral. Os resultados apontaram que Ana Maria, mulher negra e de origem humilde, enfrentou diversas dificuldades para prosseguir com seu processo de escolarização e, também, dificuldades relacionados aos problemas de gênero e raça. Além disso, a pesquisa visa a contribuir com os estudos que versam sobre as temáticas de mulheres negras, bem como com as biografias de educadoras cearenses.
Escola Normal Regional de Cruzeiro do Sul: a atuação de intelectuais da Igreja Católica no interior amazônico
Authors: Bezerra Maria Irinilda da Silva
Published: April 2024

O estudo, objetivo refletir sobre o papel desempenhado pelos religiosos alemães que atuaram na Escola Normal Regional de Cruzeiro do Sul/Acre, compreendendo-os como uma intelectualidade católica forjada no chão da escola. Adotou uma abordagem qualitativa, desenvolvida a partir da análise documental de fontes como: ofícios e correspondências escolares. Utilizou como aporte teórico, autores que trabalham com a categoria intelectual, tais como: Sirinelli (2003), Vieira (2008) e Warde (2003), Houssaye (2007), Neta (2023) e outros. Os resultados demonstram que os religiosos da Igreja Católica que pensaram e implementaram o Instituto Santa Teresinha e a Escola Normal, atuaram como os principais intelectuais do campo educacional na região. Conclui-se que estes religiosos se destacaram como mentores e executores de um modelo de formação docente de cunho religioso-católico.
Profissões suscetíveis à síndrome de burnout
Authors: Oliveira Irineia Florister Gomes de , Dos Santos Natasha , Silva Maria Claudete , Motta Ana Carolina de Gouvea Dantas
Published: April 2024

Este artigo apresenta uma análise de estudos científicos dedicados à temática Síndrome de Burnout, objetivando elencar os profissionais mais propensos ao seu desenvolvimento. Para tanto, foi estabelecida uma revisão integrativa da literatura, que teve como base metodológica uma pesquisa bibliográfica, realizada nas bases de dados como Scielo, PubMed e PePSIC, Google Acadêmico, além de livros, considerando o período de 2000 a 2024. Como resultado o estudo conferiu que os enfermeiros e professores são os que mais desenvolvem a Síndrome de Burnout, porém, o distúrbio pode ser desenvolvido por profissionais de qualquer área. Colocando-se como importante a atuação administrativa das organizações para prevenir o acometimento do Burnout.
Applying Genetic Algorithm for test pattern generation process optimization
Authors: Kuraedov V. I.
Published: April 2024

Objective. Comprehensive integrated circuit (IC) verification plays a crucial role in preventing costly errors and delays in product development cycle. It includes testing interaction and compatibility of different system elements, such as central processing unit, memory and various peripheral devices. Validating IC’s compliance to the functional requirements list may take up to 70% of the design process duration. This proportion grows with complexity and size of the device under development. Consequently, the essential tasks that integrated circuit developers face are research and development of methods for cutting design complexity and reducing implementation time.

Method. Conducted research regarding usage of genetic algorithm for error discovery, which could lead to a failure in the end product.

Result. Collected data regarding the amounts of victims and target errors for each fault of types stuck-at-0 and stuck-at-1 for circuits from ISCAS’85 and ISCAS’89 benchmarks. It has been discovered that the proposed method is more effective in comparison to random vector generation to an extent of target errors amount for every benchmark.

Conclusions. Accumulated results allow for the algorithm usage during IC design in order to reduce time consumption for circuitry validation and improve on test kits quality.
Problems of training specialists in the field of information security
Authors: Livshits I. I.
Published: April 2024

Objective. The problem of training specialists in the field of information security seems relevant given the lack of specialists capable of countering new threats. Objectively, there is a significant shortage of qualified specialists who could be trained by technical universities of the Russian Federation in the very near future. When solving this problem, it is important to take into account the level of quality of the graduates and the negative risk from the distance learning mode.

Method. The presented work proposes an analysis of the needs for qualified specialists in the program 10.04.01 “Information Security” and a statistical analysis of the final qualifying works of masters of the Faculty of FBIT of ITMO University based on the results of the work of state examination commissions in 2023.

Result. An analysis of the needs for qualified information security specialists was carried out based on available data; It is shown that given the current dynamics, it is not possible in the near future to provide the required number of qualified specialists without significant changes in universities. An analysis of the graduate work of masters studying under the 10.04.01 “Information Security” program was carried out in the aspect of the problem posed: examples of excellent performance of work for the “industry” and the risks of performing standard “template” work were reflected.

Conclusion. The results can be used to assess the quality of training of specialists in the field of information security in technical universities in Russia.
Thermoelectric device for transpalpebral hypothermia of the anterior segment of the human eyeball
Authors: Evdulov O. V. , Aminov G. I. , Aminova I. Yu. , Aminov I. G. , Mutalipova G. A.
Published: April 2024

Objective. The purpose of the study is to develop the design of a thermoelectric device for transpalpebral hypothermia of the anterior segment of the human eyeball.Method. The design of a TEU for thermal impact on the anterior segment of the human eyeball is described. The device includes an impact tip mated with one surface to the human eyelid, and the opposite surface to the cold surface of the thermo-electric module. The hot surface is in contact with a housing filled with a working substance having a stable melting point ranging from 303 to 330 K. The device is equipped with an adjustable power source with a control unit.Result. Ensuring the required mode of thermal exposure, in which the temperature of the anterior segment of the eyeball is at the level of 283-288 K, can be achieved by using in the device a standard TEM type TV-17-1.4-1.15 produced by Kryotherm LLC (St. Petersburg).Conclusion. The operating power range of the TEU will be within 3-4 W with an average temperature difference between the junctions of 45 K. The supply current is 6-7 A with a power consumption of 13-14 W. The refrigeration coefficient varies from 0.1 to 0.5. The device can be used in the treatment of keratitis, keratoconjunctivitis, dystrophic conditions of the cornea, anterior uveitis and non-obscuring corneal opacities.
Application of mivar expert systems in the fight against telephone fraud
Authors: Mikhaleva U. A.
Published: April 2024

Objective. Currently, there is no comprehensive approach to solving the problems of telephone fraud. Despite the widespread awareness of citizens about telephone fraud through the media, the number of victims of this type of fraud is growing day by day. The purpose of the study is to substantiate the possibility of using mivar technologies as part of an expert system to combat telephone fraud.

Method. This article uses the following methods: description, analysis, deduction.

Result. The analysis of the use of mivar expert systems in various areas of life allowed us to conclude that their use in the fight against telephone fraud is appropriate.

Conclusion. The conclusions drawn in this work can serve as the basis for further research in this area, as well as the basis for the development and implementation of mivar expert systems in the fight against telephone fraud.
Mechanochemical activation of steelmaking slag to obtain a cementless composite binder
Authors: Korneeva E. V.
Published: April 2024

Objective. One of the promising areas for the use of slag raw materials in the construction industry is to increase its structural instability and activity with the help of mechanochemistry. The article is devoted to the study of the combined activation of the produced (fresh) slag of steelmaking production in order to create an effective technology for obtaining cementless slag binder.

Method. Steel slags were used as raw materials - energy-saturated large-tonnage waste of the West Siberian Metallurgical Plant (Novokuznetsk). As an activator waste from the coal industry of the «Abashevskaya» mine (Novokuznetsk): burnt rocks from waste heaps and sludge, obtained by lime neutralization of electrolytes of spent acid batteries, industrial transport batteries. The study of thermogravimetric curves of raw materials: "steel slag" and "burnt rock" before processing showed the characteristic features and their inherent exothermic and endothermic effects. The effect of additives-activators on the physical and chemical processes during the mechanochemical activation of steel-smelting slag has been established and main structure-forming factors.

Result. Based on the used mechanically activated slag raw materials, a cementless binder of a matrix structure was obtained.

Conclusion. The creation of composite binders using steel-smelting slag is relevant today as part of a large-scale task of construction and technological utilization of technogenic formations.
Experimental and theoretical studies of the construction and technical properties of fire-retardant vermiculite-concrete composites
Authors: Khezhev T. A. , Khadzhishalapov G. N. , Zhurtov A. V. , Dzhankulaev A. A. , Radjabov R. G.
Published: April 2024

Objective. Study of the dependence of the compressive strength on the average density and the flexural strength on the compressive strength of vermiculite concrete composite. Determination of the expression for the coefficients of thermal conductivity and heat capacity of the resulting vermiculite concrete composites in the developed software for thermal engineering calculation of the fire resistance limit of reinforced cement structures with a fire retardant layer of vermiculite concrete.

Method. Methods for reducing the consumption of cement binder in the developed fire-resistant concrete composites are considered. Experimental and theoretical methods for determining the fire-retardant properties of the developed vermiculite-concrete composites and expressions for determining their strength properties are proposed.

Result. The dependences of the ultimate compressive strength on the average density and the ultimate bending strength on the ultimate compressive strength of vermiculite concrete for the concretes under study, the dependence of the coefficients of thermal conductivity and heat capacity during a fire on the type and average density of vermiculite concrete composites were obtained.

Conclusion. Fiber-vermiculite-concrete composites with an average density of 470-560 kg/m3 have the best fire-retardant properties. Software has been developed for thermotechnical calculation using a numerical method of the fire resistance limit of two-layer reinforced-cement structures in a fire, ensuring at least 95% agreement with the experimental data of fire tests of two-layer reinforced-cement elements.
Heuristic decision making selection of drone models according to specified characteristics
Authors: Afonin V. V. , Nikulin V. V.
Published: April 2024

Objective. The noticeable interest in aircraft such as drones for various purposes puts forward certain requirements for their characteristics. Characteristics can be divided into information technology and consumer characteristics from a financial point of view. At the same time, they have their own units of measurement. In this regard, the task of selecting and ranking drones according to some criterion or numerical metric arises. Considering that this problem is quite relevant, this paper considers a certain heuristic approach to sorting a sample of drones by the key of the proposed metric.

Method. In the heuristic approach, there is a certain variability in determining the attractiveness of a particular drone in the opinion of the person making the decision to purchase or a specific choice from the existing line of drones available for review based on their characteristics.

Result. It is proposed to identify several groups in the existing characteristics, heterogeneous in their properties, both obvious and intuitively created: “good”, “very good”, “less attractive”, “least attractive”. Assuming that several models of drones with the same characteristics are being considered, divided into the specified groups, numerical coefficients are introduced to form a metric by which a given line or selection of drones will be ranked according to the calculated metrics.

Conclusion. The proposed heuristic algorithm is based on the transition to the reduced values of numerical characteristics relative to the maximum of each group of characteristics with the calculation of the arithmetic mean of the given values. Depending on the type of specified groups, the coefficients entered into consideration are added or subtracted from the difference between the current characteristic and its average or the difference between the average and the current characteristic. On this basis, metrics are calculated by which the given sample of drone models is ranked.
Characterization of security defects and analysis of vulnerability criticality in software for automated systems of internal affairs bodies
Authors: Drovnikova I. G. , Popova A. D.
Published: April 2024

Objective. The purpose of the study is to theoretically analyze security defects and study the criticality of vulnerabilities in software used in modern automated systems of internal affairs agencies.

Method. A systematic approach method was used to consider the essence of the problem of assessing the security of software of automated systems of internal affairs bodies and the criticality of its vulnerabilities.

Result. The results of an analysis of theoretical aspects of the study of vulnerabilities in software of automated systems are presented. The components of typical software used in the automated workstation of a user of a modern automated system of internal affairs bodies were analyzed for the presence of known vulnerabilities presented in the US National Vulnerability Database and the Data Bank of Information Security Threats of the Federal Service for Technical and Export Control of Russia, obtaining basic estimates for standard Common Vulnerability Scoring System versions 3.0 and 3.1.

Conclusion. Carry out timely updates of the software used based on the selection of its optimal version in terms of security level. The main directions of activity for conducting a quantitative assessment of the level of software security in automated systems of internal affairs bodies are outlined, taking into account its vulnerabilities in real time.
Visual, auditory, reading/writing, and kinesthetic: Which learning style predicts academic success in nursing?
Authors:   Nursing Affairs, King Abdullah Bin Abdulaziz University Hospital, Prince Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia, Alrashdi Abdullah , Alshammari Muna ,   College of Nursing, Public Authority for Applied Education and Training, Adailiyah, Kuwait, Alduraywish Thamer ,   College of Applied Medical Science, Nursing Department, University of Hafr Albatin, Hafar Al-Batin, Saudi Arabia, Alenazi Faisal ,   Prince Sultan Military Medical City, Riyadh, Saudi Arabia, Alharbi Jalal ,   College of Applied Medical Science, Nursing Department, University of Hafr Albatin, Hafar Al-Batin, Saudi Arabia, Alobaidly Alanoud ,   College of Nursing and Health Sciences, Flinders University, Adelaide, Australia, Alshammari Mukhlid ,   College of Applied Medical Science, Nursing Department, University of Hafr Albatin, Hafar Al-Batin, Saudi Arabia, Qaladi Omar ,   Community and Psychiatric Mental Health Nursing Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia
Published: April 2024

This study focuses on how different ways of learning affect the school success of undergraduate nursing students in Saudi Arabia, especially when they had to switch to online classes because of the COVID-19 pandemic. It uses the VARK model, which identifies various learning preferences, to explore this topic. We wanted to find out what the main learning styles among these students are and how these styles relate to their grades, particularly in an online learning setting. Using a survey called the VARK questionnaire, we gathered information about the learning styles of 133 nursing students. We also collected their grades and used statistical methods to see if there's a link between the way they prefer to learn and their academic results. We found that most of the students (64.7%) liked using multiple ways of learning at once, with listening and doing activities being their top choices. However, those who preferred learning by doing or seeing struggled more with their grades when classes moved online. Online classes seem to work well for some students but not for others, depending on their preferred way of learning. This information is important for teachers so they can create lesson plans that work for all students, especially if schools have to switch to online learning unexpectedly.
Saudi social work students' perceptions of future career: A quantitative and qualitative research in light of changes in the labor market and social representations of jobs
Authors:   Department of Social Sciences, College of Arts, University of Haʼil, Haʼil, Saudi Arabia, Zidi Mongi Ibrahim , Al-Shallagi Turki L. ,   Department of Social Sciences, College of Arts, University of Haʼil, Haʼil, Saudi Arabia
Published: April 2024

This study explores the views of Saudi social work students about their career prospects, especially considering the reduced job openings for students in humanities and social sciences. Unlike most research that focuses on science and medical fields, this study aims to bridge the gap by examining social work students. It employs surveys and focus groups to understand why students choose social work as a major and what they expect from their careers post-graduation. The findings reveal that students often choose this major not out of passion or a calling but to gain a university degree and secure a government job, which offers job stability and social status. The extended wait for employment has led to a willingness to take up jobs previously seen as unsuitable for Saudis. Additionally, the lack of university support in career planning leaves many students feeling uncertain and doubtful, highlighting the issue of transitioning from education to the workforce.
Diversidad de Negocios Turísticos en Ciudades Patrimonio de la Humanidad: Guanajuato y San Miguel de Allende, México
Authors: Sonda de la Rosa Ricardo
Published: April 2024

Este estudio aborda la dinámica de negocios turísticos en las ciudades mexicanas de Guanajuato y San Miguel de Allende, ambas designadas como Patrimonio de la Humanidad. Estas ciudades atraen turistas, generando impactos económicos significativos. La investigación utiliza una metodología mixta, incluyendo un estudio de caso con enfoques cualitativos fenomenológicos. Se busca identificar y comparar los negocios turísticos en ambas localidades, considerando la teoría del ciclo de vida de destinos turísticos de Richard Butler. Los resultados destacan similitudes generales, pero también diferencias específicas, ofreciendo valiosa información para decisiones futuras relacionadas con la innovación y fortalecimiento de productos y servicios turísticos.
Las Prácticas Poéticas Urbanitas
Authors: Casanova Berna Néstor
Published: April 2024

Las prácticas urbanitas, como prácticas habitables, constituyen un sustrato de significación de naturaleza poética, al conferir significación y sentido a los gestos cotidianos de la vida urbana. Esta observación deriva de considerar que existe una implicación profunda entre la producción poética y la vida cotidiana, en donde la primera sienta sus fundamentos de examen crítico y propositivo del significado inmediato y prosaico. En cierto modo, la vida cotidiana constituye, a la vez, la razón primera y última de la emergencia del obrar poético y artístico.
Assessment of Symptoms of Depression and Anxiety among Menopause Women in Sulaimani City, Kurdistan: Cross-sectional Study
Authors: Abdulkarim Araz Mohammed , Saeed Mahabat Hassan , Hassan Akam Mustafa
Published: April 2024

Menopause represents a pivotal developmental juncture in a woman’s life, characterized by a spectrum of physiological alterations and the potential emergence of depressive symptomatology. The manifestation of anxiety and depression during the menopausal phase is intricate and influenced by a confluence of biological, social, and psychological determinants. This study aims to assess depression and anxiety among menopausal women while elucidating their associations with various sociodemographic attributes. A cross-sectional study was executed at the Ali Kamal Consultation Center, encompassing 126 menopausal women. Data compilation utilized a structured questionnaire encompassing sections on sociodemographic particulars, menopausal symptoms, and the Hospital Anxiety and Depression Scale. Statistical analysis employing SPSS version 25 encompassed frequency and percentage along with Chi-square tests. A substantial proportion of women (72.5%) reported prevalent anxiety, with a noteworthy 74.2% exhibiting discernible signs of depression. Sociodemographic determinants, including age and age at marriage, body mass index, and marital status, exhibited robust associations with anxiety and depression. The prevalence of depression and anxiety symptoms in menopausal women underscores the imperative for targeted interventions. Sociodemographic variables emerged as pivotal determinants influencing the likelihood of developing these psychological symptoms. Notably, occupation and place of residence exhibited no statistically significant correlations.
Efficient Breast Cancer Dataset Analysis Based on Adaptive Classifiers
Authors: Al-Ani Muzhir Shaban , Ali Kareem Thikra , Nejres Salwa Mohammed
Published: April 2024

Many algorithms have been used to diagnose diseases, with some demonstrating good performance while others have not met expectations. Making correct decisions with the minimal possible errors is of the highest priority when diagnosing diseases. Breast cancer, being a prevalent and widespread disease, emphasizes the importance of early detection. Accurate decision-making regarding breast cancer is crucial for early treatment and achieving favorable outcomes. The percentage split evaluation approach was employed, comparing performance metrics such as precision, recall, and f1-score. Kernel Naïve Bayes achieved 100% precision in the percentage split method for breast cancer, while the Coarse Gaussian support vector machines achieved 97.2% precision in classifying breast cancer in 4-fold cross-validation.
Advances in newborn screening: development of an online scenario-based tool to enable research participation and public engagement. (Preprint)
Authors: Moody Louise , Clarke Samantha , Compton Matt , Hughson-Gill Rachael , Boardman Felicity K , Clark Corinna , Holder Pru , Bonham James R , Chudleigh Jane
Published: April 2024

BACKGROUND

Newborn screening (NBS) aims to identify babies affected by rare but serious genetic conditions. As technology advances, there is the potential to expand the NBS programme following evaluation of the likely benefits and disbenefits. It is important to consider the family experience of screening, and the views of the public. To engage in public dialogue can be difficult; the conditions, screening processes, and associated moral and ethical considerations are complex. We consider a new approach to engage and consult on the implementation of extended genetic testing in NBS for Cystic Fibrosis.

OBJECTIVE

To develop a stand-alone online resource to enable a range of stakeholders to understand and consider the question: How/should extended genetic testing be used when screening babies for Cystic Fibrosis?

METHODS

Four development workshops with policy makers, parents, and other stakeholders informed the design of an interactive activity, including the structure, content, and questions posed. Vignettes constructed using interview data, and translated into scripts were recorded to provide short films to represent and provoke consideration of families’ experiences.

RESULTS

An open access online resource, ‘Cystic Fibrosis Newborn Screening: You Decide’, was developed and usability and acceptability tested to provide the ‘user’ (e.g. a parent, the general public, and/or a healthcare professional) with an interactive scenario-based presentation of the potential outcomes of extended genetic testing allowing them to visualize the impact upon families. A learning workbook explains key concepts and processes. The user is then presented with questions to collect their views on potential approaches to implementing extended genetic testing.

CONCLUSIONS

The resulting tool facilitates public engagement and understanding of complex genetic and screening concepts. It intends to help people form considered views and facilitate access to the perspectives of parents and the wider public on genetic testing that are otherwise difficult to obtain but are of importance to healthcare professionals and policy makers.

CLINICALTRIAL

NCT06299566
¿Heterodoxia “por defecto”?: la santería afrocubana en Mérida, Yucatán
Authors: Juárez Huet Nahayeilli B.
Published: April 2024

El presente artículo reconstruye y analiza la inserción de la santería afrocubana en el paisaje religioso de Mérida, donde, contrario a lo que se podría pensar, y a pesar de los lazos históricos entre Yucatán y Cuba, la santería tiene apenas una veintena de años. Su presencia en Mérida obedece, por un lado, menos a una consecuencia directa de la migración cubana en la Península, y más a una circulación de personas entre México, Estados Unidos y Cuba. Y por el otro, a su plasticidad intrínseca que prospera en un contexto en el que se observan, cada vez más, formas religiosas caracterizadas por la desinstitucionalización, la gestión individual, la movilidad y la multiadscripción. El análisis de la práctica de la santería en Mérida permite mostrar así las dislocaciones entre afiliaciones, prácticas y creencias. Un fenómeno que no es privativo ni de México ni de las religiones afroamericanas, sino una tendencia creciente en América Latina.
Una ventaja de Désiré Charnay en 1880: Las elites mexicanas
Authors: Aguayo Fernando
Published: April 2024

En diciembre de 1880, la Cámara de Diputados negó la exportación de cientos de objetos arqueológicos al explorador francés Désiré Charnay. En este texto se cuestionan las interpretaciones dadas respecto a este proceso y se plantea una explicación que recupera las ideas de las elites mexicanas en relación con las antigüedades nacionales, lo que revela por qué se permitió finalmente que esos objetos salieran del país. Asimismo, se analiza el proceder de Charnay para la obtención de objetos arqueológicos, como una muestra de la forma en que las elites usaban distintos raseros para medir la importancia de las exploraciones, dependiendo de quiénes las realizaban y quiénes participaban. Se analizan estos temas con el propósito de reforzar una forma distinta de usar y preservar el patrimonio cultural.
La importancia de la dimensión afectiva y emocional de los participantes de una organización social que intercambia plantas en San Francisco de Campeche
Authors: Santillana Vallejo Pamela , Huicochea Gómez Laura , Amalia Gracia María , Cahuich Campos Diana
Published: April 2024

Laorganización social es de vital importancia en situaciones de crisis personales e interpersonales, pues proporciona espacios de diálogo, respeto y solidaridad. Datos estadísticos refieren que Campeche es uno de los cinco estados del país con menor número de organizaciones sociales (Secretaría de Desarrollo Social 2018). Sin embargo, en la presente investigación, se registró que existen organizaciones esenciales, no oficiales, en la vida de la gente de clase trabajadora en ese lugar, como lo es “Campeche, por amor a la madre naturaleza”. Estaagrupación destaca por su filosofía basada en el intercambio no monetario y por sus prácticas de reciprocidad frente a los procesos de crisis emocionales de sus participantes. A partir del registro etnográfico se identificó que las prácticas de organización social no oficiales, no sólo constituyen un importante pilar afectivo ante crisis inesperadas, sino que también cumplen una función fundamental ante situaciones económicas en un sector que presentó brechas de desempleo y falta de seguridad social.
Aproximaciones al suicidio en Yucatán. Una mirada a la estadística descriptiva
Authors: Rodríguez Balam Enrique , Cervantes Kantún Daniela , Aguilar Canto Javier , Martín Moreno Úrsula
Published: April 2024

Es común que el estudio del suicidio se haga desde la psicología, psiquiatría, la salud mental o bien, de la psicología social. Los trabajos antropológicos y sociológicos son escasos si los comparamos con las investigaciones dentro del campo de estudios de la salud. En ese sentido, nuestra propuesta es un acercamiento desde las ciencias sociales, así como también del análisis estadístico descriptivo. Es un esfuerzo interdisciplinario por mostrar que, desde la visión socio antropológica y las matemáticas aplicadas, se puede delinear análisis de variables correlacionales, capaces de construir al sujeto suicida con mayor puntualidad: sexo, edad, nivel de estudios, ocupación e, incluso, su geolocalización. Paraello, revisamos estadísticas de diversas bases de datos desde 1990 hasta 2019. Visto en su dimensión social, el suicidio se vuelve objeto de análisis cuantificable y medible, por lo que puede referir a propuestas de intervención, desde distintas áreas del conocimiento.
A Study on PrediX: Harnessing the power of ML for accurate Predictive Modelling for Movies (MOVIEMAGIC)
Authors: Bhatnagar Geetika
Published: April 2024

Abstract: Machine learning is becoming increasingly important in the technical world, and the entertainment business is growing rapidly. The ways in which people consume content are becoming more complex and changing more quickly than in the past. Recommendation engines powered by machine learning create independent systems that grow and learn from their mistakes without requiring explicit coding. It is a system that enables a user to sift through vast volumes of data and identify useful information for themselves. Every entertainment provider displays relevant information to a user according to his tastes using a sophisticated recommendation algorithm. Both their sales and user base retention are aided by it . Different techniques are used by movie recommendation systems. For example, collaborative filtering (CF) compares people based on how similar they are to each other in terms of content consumption, while content-based filtering makes use of the movie's attributes such actors, genre, and year of release. A hybrid technique combines two or more distinct methods for suggesting movies. In this work, we offer an architecture for a movie recommendation system that addresses the cold-start issue by utilizing ML and the MERN stack.
Microcontroller Based Voice Control Home Automation System
Authors: Bagriya Shital , Khandewal Sahil , Mohammd Shahrukh , Sharma Shyanu , Mahala Vikas
Published: April 2024

Abstract: The world is rapidly advancing towards automation, as individuals have limited time to manage tasks. Automation offers a straightforward solution where devices or machines can be programmed to fulfill desired tasks. The purpose of this paper is to construct and design a home automation system based on Arduino and a Bluetooth module. The proposed solution offers a simple and dependable technology that is assisted by an Android app. The home automation system, which includes an Arduino Unoanda Bluetooth module, controls home equipment such as fans, lamps, air conditioners, and automated door locks. The article focuses mostly on monitoring and controlling smart houses using an Android phone, providing security when in habit antsare absent. The objective is to manage home appliances in a user- friendly manner, designed atminimal cost withs impleinstallation procedures. The system comprises three key components: an Arduino microcontroller for appliance connectivity, a Bluetooth module for signal transmission, and a smart phone running the Android application. The Android application interprets the user’s voice commands and extracts their precise meaning. The system design is centered around an Arduino Uno board, with appliances connected to switches linked to the board. The smartphone communicates with the Arduino through Bluetooth. The primary focus of system development is to ensure afford abil- ity and scalability as per requirements. Additionally, password protection can enhance security measures. The Voice-controlled House Automation System utilizes voice commands for device control, offering several advantages. Notably, the reisnoneed for training in operating the technology, and the simplified services facilitate wider adoption, benefitting individuals with diverse disabilities who can access the technology effortlessly.
Food Image Recognition and Calorie Prediction
Authors: V Akarsh
Published: April 2024

Abstract: This paper pivot on food classification also with boosting the task accuracy and also productivity through the usage of deep learning algorithms food classification is a major component in applications such as nutritional knowledge and restaurant menu analysis and recognizing food items from photographs is a big difficulty the cony-net and resnet152v2 were set to take on this task this study focuses on the potential of transfer learning to simplify food categorization procedures with algorithm selection playing an important part in reaching high accuracy rates as the amount of food-related applications grows the result of this can act as the selection of transfer-learning algorithms to enhance food recognition and classification systems allowing for breakthroughs in fields such as nutritional analysis and food recommendation systems in this food categorization.
Human Disease Prediction Using Machine Learning
Authors: Gwalani Prof. H. T.
Published: April 2024

Abstract: The Human Disease Prediction A machine learning system is based on predictive modeling and uses the symptoms the user enters into the system to predict the disease of the patient or user. The application has three login methods: user or patient login, doctor login, and administrator login. The tool evaluates the symptoms provided by the user or patient as input and provides the results of the disease as output based on predictive algorithms. A smart health assessment is done using a Naive Bayes classifier. The Naive Bayes classifier evaluates the probability of the disease, taking into account all subjects during the study period. Accurate interpretation of disease data facilitates patient/user disease prediction and provides users with a clear view of the disease. After the prediction, the user or patient can consult the specialist using the interactive window. It uses machine-learning algorithms and database management technology to extract new patterns from historical data. By using machine learning algorithms, prediction accuracy will be improved, and users or patients will have easy and convenient access to the application.
Design and Development of Prototype of Robo-AGV for Pick and Place Operation
Authors: Ingole Yogesh R.
Published: April 2024

Abstract: The line follower robot is generally a robot which follows a particular path that may be predefined using a black or a white surface. This kind of robot senses the track or path using IR sensor that are usually installed under the robot for ease of sensing. After sensing the data is transmitted to the microcontroller through different buses which decides the proper commands and decides the path that will be followed. A robot arm basically uses the servo motors for pick and place operation for small level tasks. Robot arm are designed in such that it moves freely in its degree of freedom and perform a operation. The particular Robot and AGV can be controlled with the app by the user. The esp32cam module is used for the object detection. There are various software’s used for designing apps but an open source freely available and user-friendly software we used is MIT app inventor.ROBO-AGV is the particular robot we have developed as our final year project. But we encountered with various technical and mechanical issues. In this paper we have illustrated the whole process of design, implementation and testing. The technical and mechanical issues are also investigated.
Design and Implementation of FIR Filters for Biomedical Applications
Authors: Raja Dr. T Kali , Reddy B. Bharath Kumar , Hemanth M. Sunny, C. , Prakash C. Bhanu , Kumar C. Shyam Pavan
Published: April 2024

Abstract: Digital signal processing (DSP) greatly facilitates the continuous capture, monitoring, processing, and analysis of signals in real-world applications, particularly in biomedical or wearable devices. Within DSP systems, the design of Finite Impulse Response (FIR) filters is pivotal. In scenarios demanding intricate calculations and high precision, higher-order filters are employed. Multipliers are crucial components in filter design, consuming significant chip space and introducing extra computation overhead. Designers strive to optimize multipliers to enhance performance. In this project we are going to design pipelined based FIR filter by applying pipelining concept to the FIR filter and following the previous implementations such as the FIR filter with high accuracy compared to existing method. The proposed system architectures are known to be efficient for real signal processing, offering advantages over conventional based designs. The proposed design is anticipated to yield benefits in terms of area, power consumption, and timing performance. The synthesis and simulation of the existing and proposed designs are implemented using Cadence Virtuoso.
Image Generation from Text
Authors: Srinivasu Dr. P. , Harish P. , Chandra K. Poorna , Meghana M. , Jayraj A.
Published: April 2024

Abstract: This work diverts from the usual by using Generative Adversarial Networks (GANs) to intentionally create flawed yet captivating images. We introduce a controlled chaos system, where a stalling generator network and a disoriented discriminator network co-exist. This strange training method encourages the development of peculiar irregularities within semi-realistic images. We welcome the unpredictability that arises from this chaos, purposely avoiding issues like mode collapse. Moreover, the project delves into a new evaluation paradigm for evaluating these deliberately flawed images. We go beyond typical metrics, exploring the use of faulty metrics and questionable visual inspection techniques. In addition, we investigate the impact of clumsy dataset selection, potentially employing unconventional or tampered datasets to train the GAN for specific types of errors. This work explores the potential of GANs for jumbled up art creation, data manipulation, and image confusion, opening a new frontier in GAN applications. While potentially causing confusion in the field, this research also reveals the unimaginable artistic and data exploration capabilities of GANs.