bluuebunny/crossref_metadata_2025 huggingface dataset:
A Case Report of Wire-localised Excision of Impalpable Recurrent Papillary
Thyroid Carcinoma and Discussion of Wire-guided Excision in the Head and
Neck Pathology
Authors: Farrell Eric , Speaker Richard , O'Driscoll Donal , Skinner Liam
Published: August 2023

Introduction/Background:

Wire localisation techniques are used widely for precision surgery in many specialities. This convenient technique has not yet become mainstream in the field of head and neck surgery. With limited space and many vital structures coursing through the head and neck region, pathological nodes that are difficult to palpate can be a challenge for clinicians.

Case presentation:

A patient with a history of papillary thyroid cancer treated with surgery and radioactive iodine had a single pathological node detected on ultrasound surveillance. An isolated recurrence of papillary thyroid carcinoma was confirmed. An excisional biopsy was performed using ultrasound wire guidance to successfully remove the diseased node with minimal morbidity.

Conclusion:

Wire-guided lymph node excision biopsy is a safe and effective method that can be applied to multiple pathologies. As of yet, it is not routine practice to employ this technique. Larger studies would increase the generalisability and safety profile of this technique in the head and neck region.
Adaptación climática de barrios de vivienda social en una ciudad árida: Piura
Authors: Caldas Patricia , Aranda Edith , Dongo Christian
Published: August 2023

Este estudio interdisciplinario evalúa las posibilidades de adaptación urbana de una ciudad árida, específicamente de los barrios de vivienda social, frente al cambio climático. Se elige la ciudad de Piura por ser uno de los casos más representativos de los efectos del cambio climático en una ciudad árida del país con problemas de escasez de agua y se analiza: a) su desarrollo territorial en relación a la problemática hídrica, b) el impacto de los procesos de urbanización en las islas de calor urbanas de Piura y c) posibles medidas de adaptación climática del espacio público y la vivienda en barrios de interés social. Los resultados sobre el marco institucional de la planificación para la adaptación climática de dicha ciudad muestran más obstáculos que oportunidades. En los dos barrios casos de estudio seleccionados se confrontan su diseño urbano y arquitectura con las intervenciones “populares” de adaptación y se estudia el perfil socio-económico de los residentes para la comprensión de patrones y medidas a ser consideradas en procesos de adaptación climática. Finalmente se conceptualizan estrategias de adaptación participativas que disminuyan las islas de calor en el espacio público y la vivienda social de Piura en el marco de políticas públicas de enfoque integral.
MARCO LEGAL DO CÂMBIO E O FUTURO DA DIGITALIZAÇÃO DOS PAGAMENTOS INTERNACIONAIS
Authors: Monteiro Stelitano Medeiros Amanda
Published: August 2023

Tendo as lacunas de eficiência presentes no modelo de operações cross-border atuais como pauta de destaque na comunidade internacional, este artigo se dedica a explorar pautas de inovação promovidas por reguladores e autoridades monetárias para possibilitar que operações transfronteiriças deixem de ser um desafio do sistema financeiro moderno. No intuito de exportar infraestruturas dos sistemas de pagamentos domésticos em tempo real para o nível transfronteiriço, a fim de solucionar barreiras de custo, segurança, lentidão e acessibilidade, o câmbio - escopo de discussão apenas em caráter internacional - demanda uma atenção na agenda dos agentes reguladores. Nessa linha, o novo marco legal do câmbio brasileiro -  Lei 14.286 - abre caminhos para que o Brasil possa superar eventuais gargalos em seus projetos de internacionalização do sistema brasileiro de pagamentos instantâneos - o Pix - e, futuramente, servir como referência para demais economias globais repliquem estratégias de inovação promovidas pelo regulador brasileiro em suas infraestruturas de pagamento.
Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation
Authors: Matsuda Shinichi , Ohtomo Takumi , Okuyama Masaru , Miyake Hiraku , Aoki Kotonari
Published: August 2023

Background

Measuring patient satisfaction is a crucial aspect of medical care. Advanced natural language processing (NLP) techniques enable the extraction and analysis of high-level insights from textual data; nonetheless, data obtained from patients are often limited.

Objective

This study aimed to create a model that quantifies patient satisfaction based on diverse patient-written textual data.

Methods

We constructed a neural network–based NLP model for this cross-sectional study using the textual content from disease blogs written in Japanese on the Internet between 1994 and 2020. We extracted approximately 20 million sentences from 56,357 patient-authored disease blogs and constructed a model to predict the patient satisfaction index (PSI) using a regression approach. After evaluating the model’s effectiveness, PSI was predicted before and after cancer notification to examine the emotional impact of cancer diagnoses on 48 patients with breast cancer.

Results

We assessed the correlation between the predicted and actual PSI values, labeled by humans, using the test set of 169 sentences. The model successfully quantified patient satisfaction by detecting nuances in sentences with excellent effectiveness (Spearman correlation coefficient [ρ]=0.832; root-mean-squared error [RMSE]=0.166; P<.001). Furthermore, the PSI was significantly lower in the cancer notification period than in the preceding control period (−0.057 and −0.012, respectively; 2-tailed t47=5.392, P<.001), indicating that the model quantifies the psychological and emotional changes associated with the cancer diagnosis notification.

Conclusions

Our model demonstrates the ability to quantify patient dissatisfaction and identify significant emotional changes during the disease course. This approach may also help detect issues in routine medical practice.
El cantar de los cantares de Salomón, de Díaz de León: breve crónica sobre la cultura impresa patrimonio de México
Authors: De Lira Luna Daniel
Published: August 2023

Estudio bibliográfico sobre el libro: El cantar de los cantares de Salomón, que en 1891 fue editado por Jesús Díaz de León en la ciudad de Aguascalientes. Este impreso es propiamente un estudio filológico comparativo en siete idiomas: hebreo, griego, latín, alemán, francés, inglés y español del poema nupcial, atribuido a Salomón que contiene la Biblia y es a la vez uno de los más bellos poemas de amor de las antiguas culturas orientales. El presente texto se propone exponer solo algunos de los valores históricos y documentales de la edición monumental de este sutil poema de pastores; las particularidades de procedencia de uno de los ejemplares que posee la Biblioteca Central, UNAM; la fecunda actividad de su traductor como polígrafo erudito, profe- sor, editor y escritor; y finalmente destacar algunos valores intelectuales y materiales de este notable impreso mexicano, considerado recientemente como patrimonio bibliográfico Memoria del Mundo de México, por la unesco.
La transición docente a un modelo emergente de educación en línea desde la perspectiva de la Coordinación de Tecnologías para la Educación - h@bitat puma. Profesoras y profesores asumen el reto
Authors: Muñiz Colunga Arturo , Zamora Valtierra Lissette
Published: August 2023

La Coordinación de Tecnologías para la Educación - h@bitat puma (CTE) perteneciente a la Dirección General de Cómputo y de Tecnologías de Información y Comunicación (DGTIC) de la UNAM y, recientemente, fusionada con la Dirección de Innovación y Desarrollo Tecnológico (DIDT) de la propia DGTIC, lleva más de 11 años apoyando la formación docente universitaria para el uso e integración de recursos digitales para la educación. El presente texto tiene como objetivo presentar la participación de la CTE, en el panorama de la pandemia derivada del coronavirus COVID-19 que, entre muchos otros aspectos, demandó que los docentes aumentaran y, en muchos casos, comenzaran su formación e interacción con herramientas digitales para continuar con su práctica docente diaria, ahora en modalidad a distancia. A partir de esta situación emergente, los docentes asumieron su responsabilidad para desarrollar y consolidar habilidades digitales suficientes para impartir sus asignaturas. Esto, además del apoyo de diversas instancias universitarias, permitió sortear los retos constantes, dejando muchas experiencias para revisar y adecuar hacia una mejora del modelo educativo correspondiente.
Moodle como herramienta tecnológica para implementar los exámenes extraordinarios prácticos en línea en la Facultad de Odontología de la UNAM
Authors: Espinosa Vázquez Olivia , Hirose López María Gloria
Published: August 2023

En la licenciatura de Cirujano Dentista de la Facultad de Odontología (FO) de la UNAM, durante mayo de 2020 se presentó la urgente necesidad de aplicar la fase práctica en los exámenes extraordinarios de asignaturas clínicas, por lo cual se diseñaron y validaron reactivos a partir de referentes teóricos como la pirámide de Miller y la taxonomía de Simpson para el desarrollo de habilidades prácticas y del dominio psicomotor.

Se usó la plataforma Moodle en su versión 3.8 para llevar a cabo esta tarea. Se ejecutaron cinco fases que van desde la coordinación y gestión de la propuesta, el diseño y la capacitación por medio de un taller, la integración y validación de los exámenes, hasta la aplicación de los extraordinarios. En un periodo de cuatro semanas, se diseñaron 12 exámenes que sumaron 420 reactivos elaborados por sinodales, responsables y profesores de apoyo. Mediante un taller de capacitación se guió a los profesores en la creación de preguntas basadas en viñetas clínicas, es decir, situaciones que los estudiantes podrían vivir en su futura práctica profesional. A partir del primer examen aplicado en agosto de 2020, los exámenes se han optimizado y la cantidad de reactivos ha aumentado; sistemáticamente se realizan revisiones técnicas previas a cada aplicación de exámenes y las modificaciones inciden en la forma y el diseño.
Construcción de un ecosistema digital como apoyo en la implementación del nuevo plan de estudios de la Facultad de Medicina
Authors: Alayola Sansores Alejandro
Published: August 2023

This article describes the process of constructing a digital ecosystem to support the implementation of the EPPENS 2022 curriculum plan, which allows for monitoring the curriculum competencies of students and teaching competencies of professors during the medical training process at the Facultad de Medicina of the Universidad Autonoma de Mexico (UNAM), with the purpose of generating and substantiating actions that are in favor of teaching, learning, evaluation, and school management processes. The platform was designed using the PHP programming language and the MySQL database management system.
Keywords: TICs; digital tool; competences; students; teachers; teaching
Drivable Road Region Segmentation in Real Time with High Precision using Deep Learning
Authors: Sreerambabu Dr. J. , Santhosh Mr. N. , Rajkumar Mr. D. , Dharshini Ms. K.
Published: August 2023

Abstract: This paper presents a novel approach that addresses the challenging task of real-time drivable road region extraction in computer vision. Semantic segmentation, which involves accurately identifying and segmenting objects in real-time data, is a complex problem. However, deep learning has proven to be a powerful technique for achieving semantic segmentation by automatically identifying patterns without the need for explicit programming. To tackle this task, the paper proposes a fusion of the YOLO algorithm and UNET architecture, leveraging their respective strengths. The YOLO algorithm enables high-speed object detection, while the UNET architecture provides advantages in global location utilization, contextual understanding, and performance, even with limited training samples. Importantly, the proposed method is lightweight, making it suitable for deployment on embedded systems with limited computational power. To optimize memory usage and capture context at different scales, the system employs dilated convolutions for efficient feature extraction. The algorithm exhibits exceptional performance in accurately segmenting irregular objects and handles diverse input data types, including images and videos, in real-time. Overall, this paper contributes significantly to the advancement of computer vision technologies and offers a valuable solution for real-time drivable road region extraction. Its potential applications include addressing driving challenges and enhancing safety in autonomous vehicles and intelligent transportation systems.
Efficient Face Recognition in Real Time for Locating Missing Person
Authors: Sreerambabu Dr. J. , Pailochan Mrs. Nimmy , Santhosh Mr. N. , Keerthana Ms. R.
Published: August 2023

Abstract: This paper presents a web-based application system that utilizes deep learning as the core technology of a Face Recognition System, with the primary objective of enhancing the accuracy and efficiency of locating missing individuals. Every day, a significant number of individuals go missing due to various factors such as old age, mental health issues, or conditions like Alzheimer’s. The conventional methods employed for searching for missing persons are typically slow, expensive, and involve protracted physical searches lasting weeks or even months. In contrast, deep learning-based technologies offer a promising solution by rapidly analyzing substantial volumes of data within minutes or hours. By leveraging facial recognition technology, which is an application of deep learning, our proposed system aims to compare images and videos obtained from surveillance cameras with pictures of missing persons to identify potential matches. Specifically, we employ the Resnet deep learning algorithm to examine the images of missing individuals, thereby improving the accuracy and speed of identification and making the process more reliable and efficient. To provide a comprehensive solution, we have developed a user-friendly webbased application system that facilitates the search for missing persons. The application efficiently collects and stores information about missing individuals in a centralized database. Whenever a missing person is identified in a CCTV video stream, our application actively tracks their location. Once the missing person is successfully identified within the video stream, the application promptly sends location details via email to the person’s relative
Analysis of Blood Samples to Identify Leukemia Cells using a Support Vector Machine and K-Nearest Neighbor Algorithms
Authors: . Savithri
Published: August 2023

Abstract: The study proposes an innovative approach using MATLAB to automate the counting of leukemia cells in blood samples, employing Support Vector Machine (SVM) and Nearest Neighbor algorithms. The method involves preprocessing blood sample images to enhance contrast and apply image filters, followed by segmentation techniques for isolating individual cells. SVM and nearest neighbor algorithms are trained using extracted features such as cell size, shape, and texture. Accurate detection and counting of leukemia cells play a crucial role in leukemia diagnosis and management. Leukemia is a group of cancers characterized by abnormal white blood cell proliferation in the bone marrow, leading to symptoms like bleeding, bruising, fatigue, and increased infection risk due to insufficient normal blood cells. Diagnosis typically involves blood tests or bone marrow biopsy. In clinical bioinformatics, SVM algorithms have enabled the development of robust experimental cancer diagnostic models, utilizing gene expression data with a small number of samples and numerous variables. Efficient implementations of SVM algorithms further facilitate practical application. Support Vector Machines excel in mapping data to higher-dimensional spaces through kernel functions, allowing the identification of maximum-margin hyperplanes for separating training instances.
Revolutionizing Charging Efficiency: Charging Slot Prediction using Android
Authors: Sreerambabu Dr. J. , Riyaz Mr. Mohammad , Santhosh Mr. N. , Uvanshankar Mr. A.
Published: August 2023

Abstract: With ever- adding pollution situations and its impact on the terrain, governments are looking for alternate energy options for transportation services. fleetly depleting global oil painting reserves and rising oil painting import bills of governments are also driving the need for alternate energy sources for the transport vehicles. Transportation as a total is undoing a transformational change worldwide and Electric vehicle are the stylish result to address both pollution and oil painting import bills. Electric vehicles are getting more and more common these days. With the growing demand for Electric vehicles, the charging structure is critical for sustaining theE-Mobility services. As EVs come more marketable, there will be a need to produce an effective niche reserving system as the charging process can be time consuming and the need for further stations will be demanding. Developed the Framework and Architecture of the Next- Generation Communication grounded Online Evs Charging niche reserving at Charging Station. We erected the stochastic queuing model for Evs in the charging station. We formulated the objective function of EV’s charging at charging points in charging stations to determine the optimal charging time, minimum charging cost, least distance, minimum queuing detention and optimal duration for particular charging places. The proposed model of the booking system is designed to produce a cost effective and effective system. The proposed garçon- grounded real- time cast charging structure avoids staying times and its scheduling operation efficiently prevents the EV from halting on the road due to battery drain out.
IAM-BDSS: A Secure Ciphertext-Policy and Identity- Attribute Management Data Sharing Scheme Based on Blockchain
Authors: Hariprasath  , Sreerambabu  , Kalidasan  , Riyaz Mohammed
Published: August 2023

Abstract: This paper presents a Ciphertext-policy attribute-based encryption (CP-ABE) is widely recognized as a secure access control mechanism for data sharing. However, the generation of secret keys (SK) in most CP-ABE schemes relies on a centralized authority (CA), which can result in high costs for establishing trust and pose a single point of failure. To address these challenges and leverage the characteristics of blockchain technology, several blockchain-based schemes have been proposed to prevent data disclosure and protect user privacy attributes. In this paper, we propose IAM-BDSS, a novel CP-ABE identity-attribute management data sharing scheme based on blockchain, aimed at ensuring privacy through hidden policies and attributes. Additionally, we introduce a transaction structure to ensure the traceability of parameter transmission within the blockchain system. Through experimental results and security analysis, we demonstrate the effectiveness and feasibility of IAMBDSS.
Deep Learning Based Fire Detection and Fire Extinguisher Using Sound Wave
Authors: Renuga  , Sreerambabu  , NimmyPailochan  , Rajkumar  , Riyaz Mohammed
Published: August 2023

Abstract: Forest fires pose a significant threat to both human life and the environment, resulting in devastating losses of forests, properties, and homes. These recurring disasters are a global concern, prompting extensive research and the development of various solutions to address the issue. Detecting and combating forest fires have been particularly challenging, especially when dealing with vast forested areas. In this study, we propose a novel approach that leverages modern technologies, specifically Artificial Intelligence (AI) and computer vision methods. By utilizing convolutional neural networks, our platform aims to accurately recognize and detect smoke and fire from still images or video input obtained through cameras. The success of the method relies on the choice of the algorithm and the quality of the datasets used, which will be split into training and testing sets for evaluation. Through this innovative approach, we hope to contribute to the effective prevention and early detection of forest fires, safeguarding ecologically healthy forests and the environment.
Attendance Information of Student by Android based using OTP and GPS
Authors: Sakthivel  , Sreerambabu  , Kalidasan  , Riyaz Mohammed
Published: August 2023

Abstract: Integrating GPS functionality into the attendance application using Android’s Location APIs offers several benefits. It allows for accurate tracking and recording of student locations during attendance marking, adding an extra layer of verification and ensuring attendance record accuracy. The system generates a unique OTP for each session , displayed along with class details to the teacher, while students enter the OTP on their devices. By comparing GPS locations between teacher and student devices, the system verifies if students are within designated areas duriPng attendance, minimizing fraudulent entries. Additionally, capturing GPS locations enables comprehensive attendance reports with geolocation data for analysis and insights. Android’s Location APIs also enable the use of geofencing, triggering actions or notifications when students enter or exit predefined areas, further ensuring physical presence during attendance. In summary, integrating GPS functionality enhances accuracy, provides location based verification, and generates comprehensive attendance records for analysis and monitoring.
Staff Scheduling Using Android Application
Authors: Kumaar Neermal , Sreerambabu  , Kalidasan  , Riyaz Mohammed
Published: August 2023

bstract: The staff scheduling Android app is a solution designed specifically for educational institutions to effectively manage their staff schedules. It addresses common challenges colleges and institutes face in scheduling their teachers and staff members. The app provides several key features to streamline the scheduling process. Teachers can easily access their schedules through the app, allowing them to view their assigned subjects and corresponding timings for each day of the week. This ensures that teachers are aware of their responsibilities and can plan their time accordingly. Additionally, the app enables teachers to request time off directly through the system. They can submit requests for leave or absence, which then go through an approval process by management. This feature eliminates the need for manual paperwork and simplifies the process for both teachers and administrators. Furthermore, the app facilitates shift swapping among staff members. If a teacher needs to change their assigned shift with another teacher, they can initiate a swap request through the app. This feature helps ensure that scheduling conflicts are resolved efficiently and avoids any disruption to the overall timetable. The app also allows staff members to manage their availability. Teachers can indicate their preferred working hours and days, enabling the system to consider their availability when generating schedules. This feature helps to accommodate individual preferences and ensures a fair distribution of workload among staff members. Lastly, the app includes communication tools that enable teachers to interact with management. Teachers can use the app to send messages or notifications regarding scheduling concerns, requests, or any other relevant information. This feature promotes effective communication between staff and administration, leading to smoother operations and timely problem resolution. Overall, this Android-based staff scheduling system addresses the specific needs of educational institutions by providing a comprehensive solution for managing staff schedules. By automating scheduling processes and offering convenient features for both teachers and administrators, the app improves efficiency, reduces administrative overhead, and enhances communication within the institution
Caracterização e geoespacialização da sífilis gestacional e congênita no Paraná, Brasil, 2012-2020
Authors: Souza Maria Luiza Almeida de , Lima Lucas Vinícius de , Pavinati Gabriel , Uema Roberta Tognollo Borotta , Nogueira Iara Sescon , Magnabosco Gabriela Tavares
Published: August 2023

A sífilis persiste como um problema de saúde pública, sobretudo pelos entraves existentes no enfrentamento da sífilis gestacional e congênita. Considerando que a ocorrência dessas infecções se relaciona a fatores maternos e programáticos, este estudo buscou analisar as características epidemiológicas do binômio mãe-filho exposto à sífilis e sua distribuição espacial no Paraná entre 2012 e 2020. Trata-se de estudo descritivo e ecológico, com dados dos sistemas nacionais de informação do Brasil. Foram considerados os casos de gestantes e de crianças registrados entre 2012 e 2020 no estado do Paraná. Foram apresentadas as frequências absolutas e relativas para a caracterização, calculando-se a variação percentual entre o primeiro e o último triênio. Ainda, foi empregado o índice de Moran para a geoespacialização segundo regiões de saúde. Houve predomínio em mulheres de 20 a 39 anos (71,24%), brancas (67,22%) e com até oito anos de estudo (80,76%), com diagnóstico nas fases primária e latente (76,42%). Os casos concentraram-se em crianças do sexo masculino (48,72%), diagnosticadas na fase recente (96,42%), e naquelas cujas mães aderiram ao pré-natal (88,88%), mas os parceiros, por sua vez, não foram tratados (69,46%). Houve aumento do diagnóstico materno durante o pré-natal (16,61%) e redução dos óbitos infantis por sífilis (31,25%). Observou-se concentração das notificações nas regiões Metropolitana e de Pato Branco. Em suma, as gestantes apresentaram idade reprodutiva e baixa escolaridade e foram tratadas durante o pré-natal, contudo, sem a inclusão dos parceiros. Ademais, evidenciou-se comportamento espacial aleatório nas regiões de saúde, com disparidade entre a sífilis gestacional e a congênita.
Violência contra mulheres e a pandemia da covid-19 no estado de Pernambuco
Authors: Santos Emylle Thais Melo dos , Oliveira Conceição Maria de , Bonfim Cristine Vieira do
Published: August 2023

O início do ano de 2020 foi marcado pelo surgimento da covid-19. Com o intuito de reduzir o número de casos da doença, algumas estratégias foram adotadas, como o isolamento social e a quarentena. Diante dessas medidas, muitas mulheres que já eram vítimas da violência ficaram sujeitas a conviver 24 horas por dia com seu parceiro agressor. O objetivo deste estudo foi descrever os homicídios e a violência doméstica e familiar perpetrada contra a mulher antes e durante a pandemia da covid-19 no estado de Pernambuco. Realizaram-se três estudos: (1) estudo ecológico misto da violência contra a mulher, homicídios femininos e feminicídios antes da pandemia, no qual foi utilizado o método dos mínimos quadrados ordinários (regressão linear simples) para estimar retas de tendência. No período pré-pandêmico (2016-2019), ocorreram 33.289 notificações de violência contra a mulher, 1.038 homicídios femininos e 319 feminicídios. Foi constatado que, dos 184 municípios, 142 (76,8%) apresentaram tendência crescente na análise da taxa de violência contra mulher, com predomínio na mesorregião do Agreste; para os homicídios femininos e feminicídios, 83 (44,9%) e 113 (61,1%) dos municípios tiveram tendência estacionária, respectivamente. (2) Estudo transversal com abordagem quantitativa para discutir a violência doméstica contra a mulher durante os primeiros seis meses do ano de 2019 em comparação com o mesmo período do ano de 2020, que correspondeu ao período de distanciamento social mais rígido no estado. Nos estágios iniciais da pandemia da covid-19, foram registrados 19.496 casos de violência doméstica e familiar contra a mulher, com redução de 7,4% quando comparado ao mesmo período do ano de 2019 (21.064 registros). (3) Estudo ecológico de série temporal (2015-2020) do número e das taxas dos homicídios femininos nas mesorregiões do estado de Pernambuco. A análise temporal dos homicídios femininos mostrou tendência crescente das taxas de homicídios na mesorregião do Sertão e na faixa etária de 20-39 anos em 2020. Assim, a pandemia da covid-19 mostrou as vulnerabilidades já existentes na vida das mulheres, aumentando a situação de risco daquelas que vivam em situação de violência.
Programa Nacional de Suplementação de Ferro nos primeiros mil dias de vida em Salvador (BA)
Authors: Santos Nívia Giullia de Sales e , Florence Thais Costa Machado , Alves Thaisy Cristina Honorato Santos
Published: August 2023

Os primeiros mil dias de vida correspondem ao período desde a concepção até os primeiros dois anos após o nascimento. Durante essa fase, as necessidades nutricionais são elevadas devido às aceleradas alterações fisiológicas inerentes ao período, e o ferro está entre os micronutrientes mais requisitados. Considerando que a anemia, em especial por deficiência de ferro, é um problema de saúde pública, principalmente nessa fase da vida, foi instituído em 2005 o Programa Nacional de Suplementação de Ferro (PNSF). No entanto, há uma lacuna de estudos que analisam sua execução em municípios da Bahia. Por esse motivo, este estudo observacional descritivo objetivou avaliar a cobertura real do PNSF entre gestantes e crianças de 6 a 24 meses de vida, público-alvo do programa, no município de Salvador (BA), entre os anos de 2017 e 2022, a partir da análise de dados secundários disponibilizados pelo Ministério da Saúde. A cobertura real do PNSF ocorreu de forma insatisfatória no município, alcançando quantidades inferiores a 7% das gestantes e 1% das crianças, entre os anos de 2019 e 2021, e valores iguais a 0% para ambos os grupos nos anos de 2017, 2018 e 2022. Tais resultados podem ser motivados por diferentes fatores, como problemas operacionais na gestão/monitoramento do programa e/ou a baixa adesão da população. Destaca-se, assim, a necessidade da constante avaliação do desempenho do PNSF no intuito de identificar suas limitações e propor melhorias em sua execução.
Estratégia Saúde da Família e a saúde da criança no Extremo Sul da Bahia, Brasil
Authors: Moraes Márcia Maria dos Santos de , Afonso Jéssica Mayara Oliveira , Nascimento Mércia Kimdolly de França , Pereira Gessitania Rocha Pires , Pereira Samuel Costa , Souza Brenda Santana de
Published: August 2023

A Estratégia Saúde da Família é ordenadora do cuidado prestado às crianças em assistência, da prevenção de agravos e da promoção da saúde na maioria dos municípios de médio e pequeno porte. Este estudo descreve os cuidados prestados à saúde da criança no Extremo Sul da Bahia, no âmbito da Estratégia Saúde da Família, e discute a ausência do pediatra nesse contexto. Trata-se de estudo descritivo realizado nos 13 municípios da região. Coordenadores da atenção básica, médicos e enfermeiros responderam a distintos questionários online sobre a estrutura da Estratégia Saúde da Família e a forma de atendimento às crianças. Para os coordenadores, a cobertura para identificação precoce da gestação é baixa; 60% dos municípios realizam visita puerperal em até uma semana; na maior parte dos casos, a única triagem neonatal realizada é a biológica; a distribuição da caderneta da criança é regular para 56,2%; e a principal dificuldade encontrada na atenção à criança é a alta demanda da Estratégia Saúde da Família para outros grupos prioritários. As consultas de puericultura não têm agenda organizada, podendo ser periódicas ou por livre demanda, e cerca de 35% a 60% delas resultam no encaminhamento da criança para o parecer de pediatras, mas 90% dos médicos e 74% dos enfermeiros informam não receber contrarreferência do serviço especializado. Os profissionais destacam dificuldades para orientar famílias sobre comportamento, alimentação, higiene e sono. Os resultados possibilitam identificar falhas na assistência e no cuidado integral a esse público, contrariando o que preconizam suas políticas. Sobre a qualidade do cuidado, discute-se o papel do pediatra na composição dessa estratégia.
Efeitos do isolamento social pela covid-19 na inatividade física e na saúde mental de crianças e adolescentes
Authors: Oliveira Thaise Cristina Lima de , Silva Daiana de Jesus da , Paz Erivânia Guedes da , Paineiras-Domingos Laisa Liane
Published: August 2023

A pandemia de covid-19 transformou o cotidiano da população mundial. Com as crianças e os adolescentes não foi diferente, o fechamento de escolas, centros esportivos, praças e locais de lazer propiciaram o isolamento social, afastando-os do convívio social e favorecendo a consolidação desse afastamento. Tais mudanças podem suscitar transtornos e representar prejuízos futuros na idade adulta, haja vista que a necessidade de medidas restritivas ao domicílio gera prejuízos na saúde mental da população, desencadeando ansiedade e sofrimento psicológico. Esta revisão visa analisar os efeitos do isolamento social causado pela covid-19 na inatividade física e na saúde mental de crianças e adolescentes. Trata-se de uma revisão sistemática da literatura baseada nas recomendações PRISMA e registrada no PROSPERO. Foram incluídos ensaios clínicos randomizados e estudos observacionais, publicados entre 2020 e 2021 e que envolveram crianças e adolescentes que estiveram em isolamento social. Após a análise dos estudos incluídos, verificou-se redução na prática de atividade física, aumento no tempo de tela e impactos psicossociais com a incidência de depressão leve e moderada, ansiedade e sintomas depressivos. Tais resultados sugerem a importância da criação de políticas públicas com o objetivo de minimizar os efeitos na ansiedade, na qualidade do sono, no tempo de tela e nos sintomas depressivos causados pelo isolamento social, considerando os aspectos biopsicossociais e com foco na promoção da qualidade de vida de crianças e adolescentes.
In vitro Testing to Investigate Effects of Excipients in Drug Formulation
Authors: YİLMAZ Hulya , SERTGÖZ Fatma , CİNKİLİC Ayse , CULHA Mustafa
Published: August 2023

The formulation of drugs requires active pharmaceutical ingredients (API), which can be combined with some excipients, which are not considered pharmacologically active and could have different roles in a drug formulation. Glukofen, a generic name as a biguanide antidiabetic, is used for treating type 2 Diabetes Mellitus, mainly in overweight patients when dietary management and exercise do not help in adequate glycemic control. In Glukofen formulation, metformin-HCl as an API and some excipients such as povidone, magnesium stearate, hypromellose, and titanium dioxide are combined. The goal of this study is in vitro investigation of the effects of Glukofen and metformin-HCl on the human bronchial epithelial cell line (Beas-2b). To observe and compare their toxic effects and uptake into cells, cytotoxicity assay and flow cytometry experiments were carried out. The obtained results from this study showed that any toxic effects of both Glukofen and metformin-HCl on Beas-2b cells were not obtained. In addition, uptake of Glukofen into cells was observed more than metformin-HCl. It is evident that the incorporation of excipients to metformin-HCl results in a significant rise in cell proliferation and uptaking into cells.
Atopic dermatitis, sleep and COVID-19 pandemic
Authors: Morgan Mariana Aparecida Pasa , Roth Priscila Vernizi , Drizlionoks Renata , Antunes Rafaela Cachiolo , Crippa Ana Chrystina Souza , CARVALHO VANIA
Published: August 2023

Background: Atopic dermatitis (AD) is a chronic inflammatory
skin disease characterized by pruritus, xerosis and eczema, causing
sleep disorders. This study purpose was to examine sleep disorders among
children with AD, correlating with disease severity scores, lifestyle,
and sleep quality, before and during the coronavirus disease 2019
(COVID-19) pandemic. Methods: This is a longitudinal,
analytical, prospective, uncontrolled study included 26 patients with AD
aged 5–10 years from the Pediatric Dermatology Clinic at a
tertiary-care hospital. The Sleep Disturbance Scale for Children
Questionnaire and questions about sleep hygiene and lifestyle habits
were were used. The severity of AD was determined by the
Patient-Oriented Eczema Measure (POEM) index. The first evaluation was
presential conducted from October 2019 to March 2020 and the second from
September to December 2020 by telephone interviews. Results:
The severity of AD was considered mild in 76.92% patients in both the
evaluations. Sleep disorder was present in 17 (65.38%) patients in the
first evaluation and in 11 (42.30%) in the second ( p=0.04). In
the first evaluation, disorders of initiating and maintaining sleep
(DIMS) was more frequent in moderate-to-severe AD than in mild AD
(83.33% vs. 11.11%, p=0. 0025). During the pandemic, six
patients (23.07%) reported improvement in sleep quality.
Conclusion: Sleep quality was negatively influenced by the
severity of AD. During the COVID-19 pandemic, there were changes in
lifestyle habits and improvement in sleep quality, despite the absence
of changes in disease severity.
Current Practices in Clinical Supervision in Primary Care
Authors: Ogbeide Stacy A. , Knight Cory , Young Alex , George Deepu , Houston Brittany , Wicoff Maribeth , Johnson-Esparza Yajaira , Gibson-Lopez Gabriela
Published: August 2023

The purpose of this study was to examine current clinical supervision
practices within primary care settings. We used a descriptive survey
design and examined the current state of clinical supervision practices
in primary care and the type of training the behavioral health providers
received to provide supervision to pre-licensure level behavioral health
trainees. Ninety-four participants completed the survey in 2022.
Seventy-one percent of respondents felt they had adequate training to be
an effective IBH supervisor; however, most training came from sources
such as workshops, continuing education, or supervision of supervision.
Further efforts to establish universal competencies and formal training
programs are needed to meet the growing need for IBH services in primary
care.
Establishment of a novel obesity mouse model: The induction of intestinal microbiota dysbiosis
Authors: Li Qiuju , Gao Xiaolin , Jia Ruizhen , Deng Jianjun , Wan Chaomin
Published: August 2023

Objective To establish and evaluate an intestinal microbiota
dysbiosis-induced obesity mouse model. Methods 50 C57BL/6J male healthy
mice were randomly divided into an obesity model group and the control
group. The body weight, body length, and Lee’s index of the two groups
of mice at week 1 and week 10 were compared. Serum glucose (GLU), total
cholesterol (TC) and triglyceride (TG) were measured by enzyme-labeled
colorimetric methods. Illumina HiSeq 16S rDNA high-throughput sequencing
technology was used to characterize intestinal microbiota in feces.
Results The success rate of model establishment in obese mice was 52%.
The body weight, body length, Lee’s index, and abdominal fat (wet
weight) in the obese model group were all higher than those in the
control group, and the differences were statistically significant
(P＜0.01). Serum GLU and TC levels in the obesity model group were
higher than those in the control group (P＜0.05) , and there was no
difference in TG levels between the two groups（P>0.05）.
The control group contained more abundant intestinal microbiota phylum
and genera than did the obesity model group; the differences between the
two groups were significant（FDR≤0.05，P≤0.05）. Conclusion Intestinal
microbiota dysbiosis can be used to generate an obesity model in mice.
Sub-diurnal methane variations on Mars driven by barometric pumping and planetary boundary layer evolution
Authors: Ortiz John P , Rajaram Harihar , Stauffer Philip H. , Lewis Kevin W. , Wiens Roger C. , Harp Dylan Robert
Published: August 2023

In recent years, the Sample Analysis at Mars (SAM) instrument on board
the Mars Science Laboratory (MSL) Curiosity rover has detected
methane variations in the atmosphere at Gale crater. Methane
concentrations appear to fluctuate seasonally as well as sub-diurnally,
which is difficult to reconcile with an as-yet-unknown transport
mechanism delivering the gas from underground to the atmosphere. To
potentially explain the fluctuations, we consider barometrically-induced
transport of methane from an underground source to the surface,
modulated by temperature-dependent adsorption. The subsurface
fractured-rock seepage model is coupled to a simplified atmospheric
mixing model to provide insights on the pattern of atmospheric methane
concentrations in response to transient surface methane emissions, as
well as to predict sub-diurnal variation in methane abundance for the
northern summer period, which is a candidate time frame for
Curiosity’s potentially final sampling campaign. The
best-performing scenarios indicate a significant, short-lived methane
pulse just prior to sunrise, the detection of which by SAM-TLS would be
a potential indicator of the contribution of barometric pumping to Mars’
atmospheric methane variations.
Development of a Discrimination Model for Learners’ Cognitive Load based on Artificial Intelligence using EEG Data
Authors:   Research Institute of Science Education, Jeong Museok , Lim Taehyeong , Ryu Jeeheon
Published: August 2023

The purpose of this study was to develop an artificial intelligence-based model that determines the degree of cognitive load using learner’s neurophysiological data. The participants were two undergraduate students of a flagship university. Their EEG response data were collected during the experimental tasks. Machine learning models including random forest, support vector machine, and artificial neural network techniques were applied for the data. Results showed that the machine learning model that employed artificial neural network technique produced the highest predictive power at 95.17%. In addition, the machine learning model that employed random forest technique showed more than 94% prediction accuracy. The results of the study suggested that the models can be used to develop a personalized adaptive learning system that actively responds by measuring the cognitive load of learners in real time.
The Analysis of Nigerian Physics Teachers’Knowledge for Teaching :Focused on Motion
Authors:   Research Institute of Science Education, Lee Kwangho , Eyimoga Raphael Omale
Published: August 2023

This study investigated the knowledge for teaching of Nigerian secondary school Physics teachers focused on motion. The study examined 119 participants from Government and private secondary schools in Keffi and Karu Local Government of Nasarawa State, Nigeria.
Data were collected and analyzed to address the research questions based on common content knowledge, specialized content knowledge, knowledge of content and students, and knowledge of content and teaching. Descriptive statistics, independent samples t-test and ANOVA were used to analyze the data using SPSS version 20. The study revealed that out of the four components of knowledge for teaching examined by this study, the teachers displayed some level of adequacy in common content knowledge and knowledge of content and teaching. The teachers performed below average in specialized content knowledge and knowledge of content and students. The study shows statistically significant difference between professional (certified) and non-professional (non-certified) PKT in favor of the professional teachers. Also, significant difference was found between the mean PKT score of teachers with varied teaching experience in favor of teachers with over 5 years of experience.
On the Roman domination problem of some Johnson graphs
Authors: Zec Tatjana
Published: August 2023

A Roman domination function (RDF) on a graph G with a set of vertices V =
V(G) is a function f : V ? {0, 1, 2} which satisfies the condition that each
vertex v ? V such that f (v) = 0 is adjacent to at least one vertex u such
that f (u) = 2. The minimum weight value of an RDF on graph G is called the
Roman domination number (RDN) of G and it is denoted by ?R(G). An RDF for
which ?R(G) is achieved is called a ?R(G)-function. This paper considers
Roman domination problem for Johnson graphs Jn,2 and Jn,3. For Jn,2, n ? 4
it is proved that ?R(Jn,2) = n ? 1. New lower and upper bounds for Jn,3, n ?
6 are derived using results on the minimal coverings of pairs by triples.
These bounds quadratically depend on dimension n.
On the gz-Kato decomposition and generalization of Koliha Drazin invertibility
Authors: Aznay Zakariae , Ouahab Abdelmalek , Zariouh Hassan
Published: August 2023

In [24], Koliha proved that T ? L(X) (X is a complex Banach space) is generalized Drazin invertible operator iff there exists an operator S commuting with T such that STS = S and ?(T2S?T) ? {0} iff 0 < acc ?(T). Later, in [14, 34] the authors extended the class of generalized Drazin invertible operators and they also extended the class of pseudo-Fredholm operators introduced by Mbekhta [27] and other classes of semi-Fredholm operators. As a continuation of these works, we introduce and study the class of 1zinvertible (resp., gz-Kato) operators which generalizes the class of generalized Drazin invertible operators (resp., the class of generalized Kato-meromorphic operators introduced by Zivkovic-Zlatanovic and Duggal in [35]). Among other results, we prove that T is 1z-invertible iff T is 1z-Kato with ?p(T) = ?q(T) < ? iff there exists a commuting operator S with T such that STS = S and acc ?(T2S ? T) ? {0} iff 0 ? acc (acc ?(T)). As application and using the concept of the Weak SVEP introduced at the end of this paper, we give new characterizations of Browder-type theorems.
Asymptotic analysis for stock loans near maturity
Authors: Xu Yongqing
Published: August 2023

In this paper, we derive the asymptotic expressions of the scaled value
function and the optimal redemption boundary of stock loan with
dividend-paying near maturity. Using the equation satisfied by the
derivative of the value function at the exercise boundary, we set up the
asymptotic expression for the boundary. When the risk-free rate r is smaller
than the loan rate ?, i.e., r < ?, the boundary tends to Ke?T0 in
parabolic-logarithm form, this case is the main result. For the case r ? ?,
the corresponding problem returns back to a usual American call option with
interest-free rate r ? ? and the existing results can be utilized to make
proper adjustments for the stock loan. The matched expansion for the value
function is performed with a small parameter. Numerical examples are
provided to demonstrate the effectiveness of the proposed method.
Semilinear periodic parabolic problem with discontinuous coefficients: Mathematical analysis and numerical simulation
Authors: Alaa Hamza , El Ghabi , Charkaoui Abderrahim
Published: August 2023

We develop a new technique to mathematically analyze and numerically simulate
the weak periodic solution to a class of semilinear periodic parabolic
equations with discontinuous coefficients. We reformulate our problem into a
minimization problem via a least-squares cost function. By using variational
calculus theory, we establish the existence of an optimal solution and based
on the Lagrangian method, we calculate the derivative of our cost function.
To illustrate the validity and efficiency of our proposed method, we present
some numerical examples with different periods of time and diverse choices
of discontinuous coefficients.
Subgroups of products of para τ-discrete semitopological groups
Authors: Kumar Vikesh , Tyagi Brij
Published: August 2023

In this article we define a new class of topological spaces called para
?-discrete spaces and give an internal characterization of a subgroup of
product of para ?-discrete semitopological groups having character less than
or equal to ?. Also we give a partial solution of an open problem posed by
S?nchez [5, Problem 3.8].
Some separation axioms for partially ordered sets
Authors: Alshehri Maryam , Lazaar Sami , Mhemdi Abdelwaheb , Zidani Neama
Published: August 2023

The main goal of this paper is to introduce and study new classes of partial
orderings on a set with Krull dimension at most 1. We show that these
classes are related to door, submaximal and Whyburn T0-spaces.