bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cervical Cancer Detection Using Gabor Featured Convolutional Neural Networks
Authors: D. Baskar  
Published: May 2024

Cervical cancer is identified as the most killing disease in women patients from past two decades. Even though various medical treatments are available at present, its death rate is not reduced. Hence, various computational and automated methods are proposed to improve the medical treatments as early as possible at an earlier stage. From the past decades, machine and deep learning methods are used for detecting the cervical cancer images. The deep learning algorithms provide superior results for the cervical cancer detection system. Therefore, Gabor Featured Convolutional Neural Networks (GFCNN) is proposed to detect the cancer regions in cervical images. It proposes Cervical Cancer Detection System (CCDS) is significantly analyzed by applying the methodologies on the cervical images which are available in Guanacaste Dataset. The proposed CCDS is constructed with the following modules Gabor transforms, Feature computations, Classification and Segmentation. The Gabor transform transforms the pixel coordinates and then intrinsic variation features are determined. These features are classified by the GFCNN classifier. The GFCNN method is tested on the set of cervical images in Guanacaste Dataset and its performance is analyzed with respect to precision, recall and cancer accuracy rate. The proposed CCDs method achieved 98.42% of PN, 98.54% of RL and 98.45% of AY. The results of GFCNN method for cervical cancer detection and segmentation system are compared with other state-of-the-art methods.
Improving Diabetes Detection Using Machine Learning Random Forest Algorithm
Authors: Amit Dubey  
Published: May 2024

Due to current lifestyle most of the peoples suffering from numerous diseases, heart disease, diabetes, obesity, etc. diabetes is one of the disease is found at an every age group of peoples nowadays. Here discussion is based on diabetes disease detection at an early stage and finding the pattern or recognizing diseases in patients. Artificial intelligence techniques very popular in health care sector, AI based techniques such as machine learning and deep learning techniques are having very tremendous growth in health care and information security sectors for providing best results than traditional techniques. In this paper, we discuss comparative performance analysis between different machine learning techniques among them random forest classifier gives best performance than other techniques.
An Optimized Fraud Identification Framework Using DCNN For Wireless Communication
Authors: D Nagaraju  
Published: May 2024

Convolution Neural Network (Cnn) Is The Powerful Framework To Solve The Lot Of Issues Of Link Detection In Unlabeled Wireless Communication. Last Few Decades Lot Of Fraud Detection Strategies Has Been Projected Bit That All Are Inefficient For Detecting The Frauds. Therefore, The Great Need For Effective And Fast Fraud Detection Scheme With Higher Detection Accuracy. In This Research, Spider Based Convolution Neural Network (Sbcnn) Model To Detect The Frauds In The Wireless Communication. Initially, Create The Wireless Channel To Transmit The Messages From Source To Destination. Here, The Fraudulent Activities Are Detected Based On The Packet Delivery Time Of The Source To Destination Of The Wireless Medium. Moreover, The Proposed System Implementation Is Done In The Matlab Frame Work Additionally; The Obtained Results Are Validated With Prevailing Methods For Evaluating The Efficiency Of The Proposed Sbcnn Approach.
Wireless communication fraud poses a significant threat as unauthorized use of services, compromising the security of cellular networks and infrastructure. With the surge in online services and users, the reliance on wireless communication for high-speed internet applications has grown. Despite the convenience brought by technologies like net banking, credit cards, and online services, financial frauds and unauthorized payments remain substantial risks. The intricate nature of wireless communication, illustrated in Fig. 1, where devices use signals between source and destination nodes, leads to challenges like network interference and loss rate, often exacerbated by fraudulent activities. Numerous techniques, including Artificial Intelligence (AI), hybrid ensemble models, oversampling, and machine learning, have been explored but haven't provided satisfactory solutions. In this study, an optimization-assisted intelligent framework is proposed to maximize communication performance, addressing the limitations of existing approaches. The subsequent sections analyse related research, identify issues with conventional methods, elaborate on the functioning of the proposed framework, discuss results, and conclude with research inferences
A Ratio Estimator for the of Mean of a Sensitive Variable in the Presence of Lack of Trust in RRT and Measurement Errors
Authors: Gupta Sat 
Published: May 2024

RRT Models, both binary and quantitative, have been used extensively in surveys that include sensitive questions. These models allow respondents to provide randomized or scrambled responses which can later be unscrambled at an aggregate level but not at individual level. This feature protects the respondent privacy during face-to-face surveys which sometimes become necessary to decrease non-response.In this presentation we will focus on improving respondents’ trust in RRT methodology. We do so by allowing more scrambling options while maintaining the overall model quality. We will also discuss how we can take advantage of auxiliary information and account for measurement errors.
Perioperative Nutritional, Functional, and Bone Health Optimization in Spine Surgery: A National Investigation of Spine Surgeons' Perceptions and Practices
Authors: Higginbotham Devan O. , El-Othmani Mouhanad M. , Nham Fong H. , Alsoof Daniel , Diebo Bassel G. , McCarty Scott A. , Daniels Alan H. 
Published: May 2024

Introduction:
While perioperative nutritional, functional, and bone health status optimization in spine surgery is supported with ample evidence, the implementation and surgeon perception regarding such efforts in clinical practice remain largely unexplored. This study sought to assess the current perception of spine surgeons and implementation regarding the nutritional, functional status, and bone health perioperative optimization.

Methods:
An anonymous 30-question survey was distributed to orthopaedic spine fellowship and neurosurgery program directors identified through the North American Spine Society and American Association of Neurological Surgeons contact databases.

Results:
The questionnaire was completed by 51 surgeon survey respondents. Among those, 62% reported no current formal nutritional optimization protocols with 14% not recommending an optimization plan, despite only 10% doubting benefits of nutritional optimization. While 5% of respondents perceived functional status optimization as nonbeneficial, 68% of respondents reported no protocol in place and 46% noted a functional status assessment relying on patient dependency. Among the respondents, 85% routinely ordered DEXA scan if there was suspicion of osteoporosis and 85% usually rescheduled surgery if bone health optimization goals were not achieved while 6% reported being suspicious of benefit from such interventions.

Conclusion:
While most responding spine surgeons believe in the benefit of perioperative nutritional and functional optimization, logistical and patient compliance challenges were noted as critical barriers toward optimization. Understanding surgeon perception and current practices may guide future efforts toward advancement of optimization protocols.
SISTEM INFORMASI MANAJEMEN PENGELOLAAN KEUANGAN PADA YAYASAN AL-HASNA KLATEN MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD)
Authors: Istri Sulistyowati  , Yusuf Mahmud , Marjukah Anis 
Published: May 2024

Penelitian ini bertujuan untuk membuat sebuah sistem informasi pengelolaan keuangan di Yayasan Al-Hasna yang bergerak dalam dunia pendidikan. Yayasan ini menaungi lembaga pendidikan tingkat dasar dan pendidikaan informal. Lembaga pendidikan formalnya adalah TKIT dan SDIT sedangkan pendidikan informalnya adalah Kelompok Bermain dan Taman Pendidikan Al-qur’an. Sistem yang dibuat digunakan untuk mengelola semua lembaga pendidikan yang ada menjadi satu.
Metode pengembangan sistem yang digunakan adalah metode Rapid Application Development (RAD). Untuk desain database menggunakan normalisasi dan Entity Relationship Diagram (ERD). Langkah desain yang pertama adalah desain konseptual dengan menggunakan Diagram Konteks. Langkah yang kedua adalah desain logik, yaitu desain yang bertujuan menyiapkan struktur-struktur data yang diperlukan dan terbaik untuk diimplementasikan. Sedang langkah yang terakhir adalah desain fisik, yaitu melakukan implementasi model logik ke dalam bahasa pemrograman Microsoft Visual Foxpro 9 sehingga diperoleh sistem yang diinginkan.
Hasil dari penelitian ini adalah sebuah sistem informasi untuk mengolah data keuangan untuk Yayasan Al-Hasna yang mengelola semua data pembayan dari siswa. Hasil dari sistem ini adalah laporan-laporan dari pembayaran siswa, baik rekapitulasi secara keseluruhan maupun setiap item pembayaran. Sistem ini juga menghasilkan laporan tentang data siswa.

Kata Kunci: Sistem Informasi Keuangan Sekolah, RAD, Yayasan Al-Hasna
Rodas de conversa sobre estratégias para aliviar a ansiedade em crianças hospitalizadas: um relato de experiência
Authors: Oliveira Thayná de Souza , Santos Jeani Maria da Conceição , Lima Uirassú Tupinambá Silva de 
Published: May 2024

Introdução: A ansiedade desde uma perspectiva psicobiológica é considerada como sendo um estado de alerta mediante a uma ameaça à integridade, seja física ou psicológica que desencadeia um gasto suplementar de energia na pessoa adoecida. Objetivo: Relatar a experiência de professores e estudantes de enfermagem de uma instituição privada de ensino superior na facilitação de uma roda de conversas sobre a utilização de estratégias de redução da ansiedade em crianças hospitalizadas. Método: Trata-se de um estudo de dados secundários, para a coleta de dados foram utilizados o diário observacional, roteiro de estratégias possíveis para nortear a conversa, ensaios fotográficos das atividades, plano diário das rodas de conversa. Resultados e Discussão: foram identificadas categorias de conhecimento, incluindo estratégias terapêuticas, equipe multidisciplinar, ressaltando a importância de uma abordagem integrada para o manejo da ansiedade em crianças no contexto de internamento. Conclusões: Evidenciou-se a necessidade de uma abordagem abrangente e integrada no cuidado da ansiedade em crianças durante o internamento hospitalar. A enfermagem desempenha um papel fundamental na promoção do bem-estar emocional e na qualidade de vida desses pacientes durante todo o processo de cuidado.
Inteligencias artificiales generativas en la educación: conversación educativa
Authors: Ramírez Martinell Alberto , Medina Gual Luis , Pisanty Baruch Alejandro , Garduño Teliz Elvia , Martínez Rámila Karla Paola 
Published: May 2024

En el marco del XVII Congreso Nacional de Investigación Educativa, organizado por el Consejo Mexicano de Investigación Educativa, A.C., celebrado del 4 al 8 de diciembre de 2023 en Villahermosa Tabasco, México, se presentó como parte de las actividades principales del congreso la conversación educativa Inteligencias artificiales generativas en la educación, en la que se presenta un análisis de lo que sucedió en 2023 en el contexto educativo en relación con el primer año de uso de estas tecnologías. En el panel intervinieron la Dra. Karla Paola Martínez Rámila con una introducción general al tema y su moderación de la mesa; el Dr. Alejandro Pisanty Baruch, quien discurrió sobre los temores que desata la Inteligencia Artificial Generativa y las precauciones que debemos tomar al usarla; la Dra. Elvia Gartuño Teliz, se centra en el sentido humano de los usos con la tecnología; el Dr. Luis Medina Gual identifica los alcances de la tecnología y el Dr. Alberto Ramírez Martinell centra su intervención en la concepción de la IAGen como una tecnología bio-inspirada.
SARS CoV-2 PROTEINS AND HUMAN PROTEINS
Authors: Марьянович Александр Тимурович , Кормилец Дмитрий Юрьевич 
Published: May 2024

Белки SARS CoV-2 представляют собой молекулы с массой от нескольких десятков до нескольких тысяч аминокислотных остатков. Существуют структурные и неструктурные белки. К первым относятся шиповый гликопротеин, или S-белок (S), малый мембранный оболочечный белок (E), мембранный белок (M) и нуклеопротеин или нуклеокапсид (N). Вторая группа состоит из 16 неструктурных белков (Nsp1-16, включая полипротеины репликазы RPP 1a и 1ab) и 10 вспомогательных факторов или белков открытой рамки считывания (ORF3a, 3b, 6, 7a, 7b, 8, 9b, 9c, 10 и 14). Белки S, E и M, расположенные снаружи и в мембране вириона, участвуют в контакте вириона с клеткой и проникновении в нее. Другие белки участвуют в захвате внутриклеточных механизмов и их использовании в собственных интересах вируса. Большинство этих белков содержат многочисленные мотивы, гомологичные человеческим белкам, в том числе таким важным, как интерлейкин-7. Возможно, эта гомология является важным фактором, позволяющим «обмануть» иммунную систему на начальных стадиях инфекции и спровоцировать аутоиммунный ответ впоследствии. Гомология белков SARS CoV-2, с одной стороны, и белков вкусовых и обонятельных рецепторов — с другой, возможно, объясняетпричины нарушения восприятия вкусовых и обонятельных раздражителей, характерного для COVID-инфекции.
SARS CoV-2 proteins are molecules with a mass of several tens to several thousand amino acid residues. There are structural and nonstructural proteins. The former include Spike glycoprotein (S), small membrane envelope protein (E), membrane protein (M), and nucleoprotein or nucleocapsid (N). The second group consists of 16 nonstructural proteins (Nsp1-16, including replicase&nbsp; polyproteins RPP 1a and 1ab) and 10 accessory factors or open reading frame proteins (ORF3a, 3b, 6, 7a, 7b, 8, 9b, 9c, 10 and 14). Proteins S, E and M, located outside and in the membrane of a virion, are involved in the contact of the virion with a cell and penetration into it. Other proteins are involved in the hijacking of intracellular mechanisms and their use in the virus’s own interests. Most of these proteins contain numerous motifs that are homologous to human proteins including such important ones as Interleukin-7. Perhaps this homology is an important factor in deceiving the immune system at the initial stages of infection and provoking an autoimmune response later. The homology of SARS CoV-2 proteins on the one hand and taste and olfactory receptor proteins on the other hand may possibly explain the causes of the impaired perception of taste and olfactory stimuli characteristic of COVID infection.
Pour une interprétation épistémologique des littératures féministes
Authors: Nies-Berger Angeline 
Published: May 2024

Cet article est un compte-rendu du livre : Azélie Fayolle, Des femmes et du style. Pour un feminist gaze, Paris : Éditions Divergences, 2023, 232 p., EAN 9791097088583.
Managing The Impact of Changes in Discount Rate, Forex Rate, Exports & GDP on Imports of Pakistan
Authors: Zulfiqar Ali Bhatti  , Musarrat Shamshir  , Murk Fatima  
Published: May 2024

The purpose of this study is to investigate how changes in macroeconomic indicators, such as GDP, exports, discount rate, and Forex rate, affect Pakistani imports. It is widely acknowledged that the world has become a global village, with no state being able to meet its own needs for goods and services. As a result, these states are forced to import goods and services that would be extremely expensive to produce locally due to a lack of raw materials. Imports are crucial to global trade because they enable nations to buy raw materials from other countries, transform them into completed goods, and then export those goods for significant profit. Maintaining a positive balance of payments requires the state to maintain an appropriate balance between its imports and exports. Since importing goods and services from overseas requires paying significant foreign exchange, it is imperative that only necessities be imported and that luxury items be avoided. Using data of independent variables, such as export, GDP, discount rate, and Forex rate, and dependent variable, namely import spread over a period from 1972 to 2020, descriptive statistics and diagnostic tests, such as Unit root test, ARDL tests, Bound test, Multicollinaerity, Heteroscedasticity, Correlation, and Autocorrelation, have been conducted. In order to examine the existence of a long-term balance link between import, GDP, interest rate, export, and foreign exchange rate, we have adopted the bounds analysis method to cointegration, which was developed inside the ARDL structure. The results provide strong evidence that the GDP, interest rate, and exchange rate all have an important impact on determining the long- and short-term responses to our nation's imports.
Key words: ,
MORTALIDADE DE DOENÇA RENAL CRÔNICA NO BRASIL: REVISÃO SISTEMÁTICA
Authors: Ferreira Asbeque Ana Clara , Cardoso Leitão Francisco Naildo , Santana de Oliveira Fabiano , Ribeiro Pinheiro Daniel , De Deus Morais Mauro José 
Published: May 2024

Objetivo: avaliar a mortalidade de Doença Renal Crônica no Brasil no período de 2021 a 2023. Método: trata-se de uma revisão sistemática de todos os artigos publicados nas bases de literatura National Library of Medicine (Pubmed), Biblioteca Virtual em Saúde (BVS) e Scientific Electronic Library Online (SciELO) por palavras-chave obtidas pelos Descritores em Ciências da Saúde (DeCS) da BVS. Os estudos publicados foram elegíveis ao atenderem aos seguintes critérios: (1) estudos que envolvem doença renal crônica; (2) mortalidade; (3) artigos que estudaram incidência, e; (4) artigos publicados nos últimos 3 anos. Resultados: foram encontrados 442 artigos. Como critérios de inclusão envolvemos estudos que envolvem doença renal crônica; mortalidade; artigos que estudaram incidência, e artigos publicados nos últimos 3 anos. E como critérios de exclusão foi utilizar base de dados secundários (por exemplo, livros, trabalhos teóricos ou resenhas); os que estudaram amostras que não incluem doença renal crônica; duplicados; estudaram idade específica (somente idosos, crianças ou adultos); não tinham relação direta com mortalidade e ter tido foco em assuntos diferentes (tipos de tratamentos, método de prevenções e outros). Ao final da coleta, foram selecionados 13 artigos para leitura na íntegra, todos com acesso on-line e em inglês. No que se refere aos anos de publicação, concentrou-se especificamente entre os anos de 2021 e 2023. Conclusão: ficou evidente a complexidade da DRC e as várias variáveis de agravos à saúde associadas a ela. As taxas de morbimortalidade aumentam anualmente e devem ser combatidas, não sendo algo natural.
Towards a Platform for Robot-Assisted Minimally Supervised Hand Therapy: Design and Pilot Usability Evaluation
Authors: Reddy Kalli Venkata Dinesh 
Published: May 2024

Background

Robot-assisted therapy has the potential to enhance therapy doses post-stroke, addressing the often insufficient treatment of hand function in clinical settings and after discharge. Traditionally, these systems have been complex and required therapist supervision. To better leverage robot-assisted therapy, we propose a platform designed for minimal therapist supervision and present a preliminary evaluation of its immediate usability, addressing a key challenge often neglected in real-world applications. This approach could increase therapy doses by enabling a single therapist to train multiple patients simultaneously, as well as supporting independent training in clinics or at home.

Methods

We implemented design changes on a hand rehabilitation robot, focusing on enabling minimally-supervised therapy. This involved developing new physical and graphical user interfaces and creating two functional therapy exercises aimed at training hand motor coordination, somatosensation, and memory. Ten participants with chronic stroke evaluated the platform's usability and reported their perceived workload during a minimally-supervised therapy session. The ability to use the platform independently was assessed using a checklist.

Results

After a brief familiarization period, participants were able to independently perform the therapy session, needing assistance in only 13.46% (range: 7.69–19.23%) of the tasks. They rated the user interface and exercises highly on the System Usability Scale, with scores of 85.00 (75.63–86.88) and 73.75 (63.13–83.75) out of 100, respectively. Nine participants indicated they would use the platform frequently. The perceived workload was within acceptable ranges. The most challenging tasks identified were object grasping with simultaneous control of forearm pronosupination and stiffness discrimination.

Discussion

Our findings indicate that a robot-assisted therapy device can be safely and intuitively used with minimal supervision upon first exposure by adhering to usability and workload requirements. The preliminary usability evaluation highlighted specific challenges that need to be addressed to enable real-world minimally-supervised use. This platform could complement conventional therapy, providing increased therapy doses with existing resources and establishing a continuum of care that transitions from the clinic to the home.
O REI ESTÁ NÚ:
Authors: Madrid Rosemeri , Dias Kuhn Daniela , Ernesto Filippi Eduardo 
Published: May 2024

A fábula “A roupa nova do rei” é trazida para este texto como metáfora, no sentido de introduzir a discussão que se propõe: relacionar a ideia de Necropolítica, a partir do pensador Mbembe (2020), para demonstrar como as ações do governo federal brasileiro no período 2019-2022 em relação as questões de terras, indicaram uma mudança de rumo na política nacional que culminou com um aumento da violência, da vulnerabilidade e na morte incidente em determinadas populações. Durante a gestão 2019-2022 (Governo Bolsonaro) houve um aumento expressivo dos conflitos por terras, assim como a morte de inúmeras pessoas ligadas às comunidades indígenas, quilombolas, pequenos produtores e ativistas integrantes de movimentos sociais. Ou seja, a roupa nova do rei não engana mais os súditos. Fazendo uso da pesquisa documental como percurso metodológico, reunindo relatórios, pesquisas e publicações na mídia impressa e digital, traça-se uma série de indicativos sinalizadores da prática de Necropolítica da gestão federal brasileira no que tange a disputa por terras no território nacional. Como resultado, compreende-se que a ideia de Necropolítica, além de aplicação na saúde e segurança pública, também faz sentido na análise da recente política agrária brasileira, que tem como consequência o acirramento da tensão em relação ao debate sobre as terras no país, aumentando o número de conflitos e mortes por disputa de territórios. Os dados apresentados, com base no Relatório da Comissão Pastoral da Terra (2023) evidenciam que a quantidade de conflitos no campo cresceu 50,82% quando comparados os anos de 2013 e 2022.