bluuebunny/crossref_metadata_2025 huggingface dataset:
Práticas sustentáveis em instituições federais de ensino a partir do relatório de auditoria interna: o caso do Instituto Federal de Mato Grosso do Sul, campus Dourados
Authors: Moura Cristiane Alves da Silva , Romano Maria da Silva Santos , Figueiredo Neto Leonardo Francisco , Borges Pedro Pereira
Published: July 2024

A pesquisa investiga a implementação de práticas de responsabilidade socioambiental em uma microinstituição federal de ensino, com enfoque no Instituto Federal de Mato Grosso do Sul, campus Dourados, localizado na região Centro-Oeste. Utilizando a metodologia de estudo de caso, foi adotada uma abordagem qualitativa, exploratória e descritiva. Os dados foram coletados por meio de pesquisa documental, abrangendo o período de 2018 a 2022, com base nas informações disponíveis no site institucional, e foram analisados utilizando a técnica de análise de conteúdo. Os resultados revelam a estrutura organizacional da instituição, composta por um Comitê de Governança Sustentável (CGS), um órgão colegiado e consultivo, além de subcomitês em cada um dos seus campi. Além da implementação de boas práticas, que evidenciam a existência de ações sustentáveis efetivas na instituição. Especificamente, no subcomitê de Governança Sustentável do campus Dourados, as iniciativas envolvem uma variedade de agentes, como servidores, estudantes e o grêmio estudantil, demonstrando um engajamento amplo de toda a comunidade educacional. Além disso, observou-se não apenas a implementação de políticas públicas em conformidade com normativos, mas também uma dinâmica de aprendizado em rede e a troca de experiências entre os diferentes atores participantes. Esse cenário evidencia o compromisso da instituição com a promoção da responsabilidade socioambiental, o que reflete uma cultura organizacional direcionada para a sustentabilidade. A participação ativa dos diversos segmentos da comunidade educacional sugere um ambiente propício para a inovação e melhoria contínua das práticas sustentáveis. Esses resultados não apenas auxiliam na compreensão do papel das instituições de ensino na promoção da sustentabilidade, mas também fornecem percepções valiosas para outras organizações interessadas em iniciativas semelhantes.
Cohesive fracture evaluation in brittle materials using the BEMCRACKER2D Software
Authors: Marinho Renata de Oliveira , Gomes Gilberto , Farfán Raúl Darío Durand , Cartaxo Aparecida Evangelista , Oliveira José Lucas Pessoa , Delgado Neto Alvaro Martins , Moura Alan da Silva
Published: July 2024

Understanding and predicting the behavior of cracks in brittle materials, such as concrete, is essential to prevent structural failures and ensure the longevity and safety of engineering structures. This study utilizes Linear Elastic Fracture Mechanics (LEFM) and the Dual Boundary Element Method (DBEM) to evaluate the effects of cohesive fractures on crack opening displacement and crack growth in brittle materials, with a specific emphasis on concrete. The in-house developed BEMCRACKER2D program, coupled with the BEMLAB2D graphical interface, forms the core of the analysis methodology. The methodology involves a detailed assessment of cohesive fractures in concrete that are simulated using the fictitious crack model, where the fracture zone is represented by cohesive forces, modeled through both linear and bilinear curves acting on the crack surfaces. This approach allows for a nuanced simulation of the fracture process, capturing the complex interactions within the material as the crack propagates. To verify and validate the adopted methodology, two classic examples from the literature on brittle materials were carefully selected. These examples provide benchmark scenarios that are well-documented, allowing for a rigorous comparison of the simulation results with established data. The accuracy and reliability of the BEMCRACKER2D program were demonstrated through these examples, showing that the program can predict crack behavior with a high degree of precision. The findings highlight the potential of BEMCRACKER2D as a valuable tool for the analysis of cohesive fractures in brittle materials. Its ability to accurately model and predict crack growth and displacement not only reinforces its applicability in academic research but also suggests significant practical applications in engineering design and safety assessments.
Os impactos da reforma previdenciária de 2019 na concessão de benefícios para trabalhadores e trabalhadoras do Brasil
Authors: Coelho Hermilton Costa , Santos Jane Karla de Oliveira , Santos João José de Sousa , Moura Enedina Gisele Albano , Sampaio Daniel Carvalho , Rego Elson José do , Ibiapina Giselle Karolina Gomes Freitas , Freitas Daniela Carla Gomes
Published: July 2024

No Brasil, os primeiros registros sobre a previdência social advém da época do Império. A partir da promulgação da Constituição de 1988, conhecida como Constituição Cidadã, por ter sido instituída durante um processo de redemocratização, que o Brasil adotou diversos avanços sociais no ordenamento legal brasileiro. A seguridade social prevista no art. 194 da CF/1988 compreende a previdência, a saúde e a assistência social, destacando-se que as duas últimas não estão vinculadas a qualquer tipo de contraprestação por parte dos seus usuários. Ao longo dos anos, ocorreram inúmeras alterações nas leis da previdência social, visto que a tempos, o governo brasileiro teve dificuldades em manter o sistema previdenciário equilibrado. No ano de 2019, através da Emenda Constitucional número 103, aconteceu a Reforma da Previdência e com ela surgiram mudanças substanciais nas regras de aposentadoria, que afetaram diretamente os critérios de concessão de benefícios. Assim sendo, o objetivo desse artigo, foi analisar os principais impactos da Reforma da Previdência de 2019 na concessão de benefícios previdenciários para os trabalhadores e trabalhadoras. Como forma de mitigar os impactos causados pela Reforma da Previdência, faz-se necessário a utilização de políticas complementares que estimulem mais empregos e melhores salários, dessa forma, haverá um equilíbrio entre proteção social e sustentabilidade fiscal. Nesse sentido, faz-se necessário o continuo monitoramento para assegurar uma proteção social justa e adequada a todos os segurados brasileiros. Esse estudo, trouxe para sociedade interessada no assunto, importantes resultados, onde destacou-se a importância de um maior entendimento das novas regras oriundas da reforma da previdência, além do conhecimento dos seus direitos e deveres como segurados. Para o meio acadêmico, o artigo forneceu um conjunto de informações   para futuras pesquisas, sobre a aplicabilidade das reformas previdenciárias. Com tudo, julgou-se necessário o reconhecimento das limitações desta pesquisa, sendo a principal, residente na temporariedade dos dados, uma vez que a análise baseou-se em informações ainda recentes.
Racismo digital programação de um crime
Authors: Segurado Rosemary , Silva Osvaldo José da , Nobre Fernanda Oliveira
Published: July 2024

O desafio provocado pelas novas tecnologias no século XXI tencionam o mundo do trabalho e da vida social. O fenômeno aqui abordado é o de como o legado histórico da ideologia das raças e do racismo se perpetua na atualidade como racismo digital programando o crime racial previsto em lei, decorrente da exploração racial dos negros como grupo étnico excluído racialmente programado pelas tecnologias da infovias e do ciberespaço. As novas tecnologias não são neutras, visto que decorrentes do uso ideológico das ciências reforçam o quadro da suposta hegemonia do grupo étnico branco sobre o grupo étnico negro, ambos da mesma espécie. O racismo estrutural, sistemático, institucional construído contra o povo negro no Brasil e desenvolvido a partir do modelo colonial imperialista eurocêntrico europeu, contra os povos colonizados, desencadeou a prática da ideologia das raças estruturando a suposta superioridade do branco com relação ao negro. O objetivo de pensar o racismo digital a programação de um crime possui o caráter de tencionar o debate, a partir dos marcadores da rearticulação do capital, que visa manter o “fetiche” da mercadoria tecnológica como neutra frente ao racismo contra o negro. Para tanto, retomamos a lei jurídica formal estabelecida contra o racismo, não se limitando a ela, como aporte na luta antirracista a ser aplicada contra o crime digital programado Assim posto, denota-se também os mecanismos de resistência presentes nas lutas históricas das comunidades negras com vertentes antirracistas nos diversos contextos da economia, da política e da sociedade. A desmarginalização do negro na sociedade brasileira necessita da defesa da liberdade e da democracia com inclusão social, econômica e política do negro. Nesse processo de construção há que se ter a consciência conjuntural e estrutural de que o Brasil na contemporaneidade ocupa o lugar periférico no capitalismo global, lutando por uma nova organização de ordem multipolar dos países outrora colônia dos impérios globais.
How practices make norms: autonomous and AI technologies in weapon systems and diminished human control
Authors: Bode Ingvild
Published: July 2024

How practices make norms: autonomous and AI technologies in weapon systems and diminished human control

The ERC starting grant project “Transforming Norms Research through Practices Weaponised Artificial Intelligence, Norms, And Order (AutoNorms)” studies how autonomous weapon systems shape and transform international norms governing the use of force. It examines how practices make norms by investigating different contexts, such as the military or popular imagination, in four countries (USA, China, Japan and Russia).
What if bioprinting resolution is dictated by the living cell size instead of the instrumentation?
Authors: Nieto García Daniel
Published: July 2024

What if bioprinting resolution is dictated by the living cell size instead of the instrumentation?

The innovation of HOT-BIOPRINTING lies in the development of a disruptive technology for single and automatised multiple-cell 3D bioprinting. HOT-BIOPRINTING capabilities for manipulating single cells for printing will drive a new paradigm shift: “BIOPRINTING resolution will be dictated by the cell size instead of by the mechanical component of the instrumentation”. This new technological advancement for resolution enhancement but maintaining bioprinting speed using holographic automatisation can open new opportunities to the tissue engineering and regenerative medicine community for responding to the demand for fast fabrication of complex microtissues and organ structures with un-precedent cell-driven resolution.
PHERA project brings eco-friendly pest solutions to field crops
Authors: Hebo Buus Camilla
Published: July 2024

PHERA project brings eco-friendly pest solutions to field crops

The PHERA project aims to accelerate the global transition to sustainable agriculture by establishing insect pheromones as a viable alternative to insecticides in row crops. The project has scaled up a new, cost-effective method for the mass production of pheromones and has developed application systems for their use in pest control in row crops.
Analisis Implementasi Fungsi Manajemen dan Kaitannya dengan Peningkatan Pelayanan pada Calon Jamaah Haji Kantor Kementerian Agama Kabupaten Pasaman
Authors: Faradila Faradila  , Jon Kenedi
Published: July 2024

The implementation of service satisfaction from the Pasaman Regency Ministry of Religion for prospective Hajj pilgrims as well as the use of the Integrated Hajj Computerized System (SISKOHAT) in assigning employees based on their Hajj expertise was the driving force for this research. This research used a qualitative descriptive approach and was conducted in the field. Interviews and observations were used as data collection methods. Employees of the Hajj Organizing Section of the Pasaman Regency Ministry of Religion Office became research informants. The Pasaman Regency Ministry of Religion Office has carried out guidance, training and guidance to improve the quality of service for prospective Hajj pilgrims, in accordance with research findings and analysis of the implementation of management functions and their relationship with improving services for prospective pilgrims. Hajj. This service improvement is carried out in accordance with the regulations of the Ministry of Religion office as well as the theory and practice of coaching led by the leadership. Managerial tasks in the form of organizing, planning, implementing and controlling are also carried out by this office.
Understanding Attention Deficit Hyperactivity Disorder: Prevalence, Etiology, Diagnosis, and Therapeutic Approaches
Authors: Das Jamuna , Biswal Jitendriya , Mohanty Rakesh , Bose Manika , Parida Sansita
Published: July 2024

Background: Attention deficit hyperactivity disorder (ADHD) is classified using neoclassical systems such as the Diagnostic Statistical Manual of Mental Disorders-5 and the International Classification of Disease-10. There is significant evidence that pharmaceutical treatment, particularly stimulants, can reduce symptoms in the short term. Objective: To explore the comprehensive landscape of childhood to adulthood ADHD within the literature, which involves delving into its prevalence, etiology, risk factors, diagnosis, and treatment modalities. Methods: A literature search was conducted across articles published in English between 2011 and 2023; the literature extensively explored the prevalence, etiology, risk factors and diagnosis of the subject, with limited attention given to treatment between 2003 and 2023, utilizing electronic search engines such as Google Scholar, PubMed, IndMED, and MedIND, Scopus, and Web of Science. The search terms included "ADHD," "Attention Deficit and Hyperactivity Disorder," "Hyperactivity," "Child Psychiatry," "Hyperkinetic Disorder," "Attention Deficit Disorder," and "Worldwide.” Results: Out of the 400 papers evaluated, only 52 met the criteria encompassing prevalence, etiology, diagnosis, and treatment. Conclusions: ADHD is a prevalent neurodevelopmental disorder impacting individuals from childhood to adulthood, with varying prevalence rates globally. Methodological differences influence prevalence estimates, highlighting the need for standardized study designs. Both genetic and environmental factors contribute to its development. Management typically involves a combination of psychotherapy, lifestyle adjustments, and medication. However, refined diagnostic criteria and tailored treatment guidelines for children and adults are necessary. Continuous evaluation of interventions is crucial for optimizing care and enhancing the well-being of individuals with ADHD.
ANALISIS KELAYAKAN BAHAN AJAR BERBASIS LITERASI SAINS PADA TEMA GAYA
Authors: Maulita Ika
Published: July 2024

Skor literasi sains siswa di Indonesia termasuk dalam kategori rendah. Salah satu penyebabnya adalah pemilihan sumber belajar. Bahan ajar sebagai sumber belajar merupakan perangkat pembelajaran yang diperlukan dalam proses belajar mengajar. Bahan ajar yang digunakan di Kota Semarang memiliki muatan literasi sains yang kurang seimbang. Ketidakseimbangan muatan literasi sains pada kelas VIII SMP Negeri 24 Semarang dibuktikan dengan nilai hasil belajar siswa pada mata pelajaran IPA Terpadu. Tujuan dari penelitian ini adalah untuk mengetahui uji kelayakan dan uji keterbacaan bahan ajar IPA Terpadu berbasis literasi sains bertema Aplikasi Gaya dalam Kehidupan untuk pembelajaran siswa kelas VIII SMP Negeri 24 Semarang. Jenis penelitian yang digunakan adalah Research and Development (R and D) yang terdiri dari empat tahapan yaitu tahap mengumpulkan informasi dilanjutkan dengan pembuatan desain produk, revisi produk dengan validasi dari dua orang ahli, kemudian uji keterbacaan produk kepada siswa kelas VIII SMP Negeri 24 Semarang pada mata pelajaran IPA Terpadu. Hasil penelitian menunjukkan bahwa produk bahan ajar IPA Terpadu sangat layak untuk digunakan dengan persentase dari lima kategori yaitu 88,24% kelayakan isi, 90,63% penyajian, 94,23% bahasa, 90,38% grafis, dan 90,74%. Bahan ajar IPA Terpadu memiliki tingkat keterbacaan rata-rata sebesar 88,42%, sehingga termasuk dalam kategori mudah dipahami.
Leveraging Stochastic Gradient Descent with Deep Learning Model for Financial Distress Prediction
Authors: Barbara Barbara ,   Jadavpur University, Department Of Mathematics, Kolkata, India,   Faculty of Science, Mutah University, Jordan,   Gaziantep University, Department of Mathematics, Gaziantep, Turkey, Hakmeh Rashel Abu , Ozcek Murat
Published: July 2024

Stock is a financial product considered by flexible trading, high risk, and high return that can preferred by several investors. Investors may get an abundance of returns through the accurate prediction of stock price trends. Nevertheless, the stock price can be influenced by certain factors including market conditions, companies’ managerial decisions, macroeconomic situation, and investors’ preferences for major economic and social events. Econometric and Statistical models are widely utilized in classical stock price prediction; however, these techniques could not handle the complex and dynamic environments of the stock market. Researchers have begun using deep learning (DL) and machine learning (ML) to estimate stock fluctuations and prices with the rapid evolution of artificial intelligence (AI), serving investors to define investment strategies to increase returns and decrease risk. Therefore, this manuscript presents a new dung beetle optimization with deep learning based stock price prediction (DBODL-SPP) methodology. The purpose of the DBODL-SPP algorithm is to predict the rise or fall of stock prices using the optimal DL model. In the DBODL-SPP technique, the min-max scalar can be deployed for pre-processing the input data. Besides, the DBODL-SPP approach applies the DBO algorithm for electing an optimal subset of features. The DBODL-SPP technique makes use of a multi-head attention long short-term memory (MHA-LSTM) model for the stock price prediction. Finally, by using the equilibrium optimizer (EO) algorithm, the parameter tuning of the MHA-LSTM algorithm can be carried out. A detailed set of experimentations has been applied to evaluate the enriched performance of the DBODL-SPP technique. The simulation values emphasized that the DBODL-SPP algorithm achieves better results than other techniques for stock price prediction
Deep Layered Network Model to Classify Brain Tumor in MRI Images
Authors: Saran Saran ,   Department of Computer Science andEngineering, Vel Tech Rangarajan Dr. Sagunthala RD Institute of Science and Technology, Avadi, Chennai, India,   Professor, Department of Artificial Intelligence and Data Science, KPR Institute of Engineering and Technology, Coimbatore, India,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaran, Guntur, Andhra Pradesh, India,   Assistant Professor, Department of Information Technology, Karpagam College of Engineering, Coimbatore, India,   Associate Professor, Department of Computer science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India, Sudha S. V. , Padmanaban K. , Sherubha P. , Sasirekha S. P.
Published: July 2024

Brain tumor is a condition due to the expansion of abnormal cell growth. Tumors are rare and can take many forms; it is challenging to estimate the survival rate of a patient. These tumors are found using Magnetic Resonance (MRI) which is crucial for locating the tumor region. Moreover, manual identification is an extensive and difficult method to produce false positives. The research communities have adopted computer-aided methods to overcome these limitations. With the advancement of artificial intelligence (AI), brain tumor prediction relies on MR images and deep learning (DL) models in medical imaging. The suggested layered configurations, i.e., layered network model, are proposed to classify and detect brain tumors accurately. The modified CNN is proposed to automatically detect the important features without any supervision and the convolution layer present in the network model enhances the training feasibility. To improve the quality of the images, some essential pre-processing is used in conjunction with image-enhancing methods. Data augmentation is adopted to expand the number of data samples for our suggested model's training. The Dataset is portioned as based on 70% for training and 30% for testing. The findings demonstrate that the proposed model works well than existing models in classification precision, accuracy, recall, and area under the curve. The layered network model beats other CNN models and achieves an overall accuracy of 99% during prediction. In addition, VGG16, hybrid CNN and NADE, CNN, CNN and KELM, deep CNN with data augmentation, CNN-GA, hybrid VGG16-NADE and ResNet+SE approaches are used for comparison.
Dense-BiGRU: Densely Connected Bi-directional Gated Recurrent Unit based Heart Failure Detection using ECG Signal
Authors: Vinitha Vinitha ,   Research scholar, Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India,   Dean, R&D and Industry Relations, Karpagam Academy of Higher Education Coimbatore, Tamil Nadu, India,   Professor and Head, Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India, Parthasarathy V. , Santhosh R.
Published: July 2024

Heart failure, a state marked by the heart's inefficiency in pumping blood adequately., can lead to serious health complications and reduced quality of life. Detecting heart failure early is crucial as it allows for timely intervention and management strategies to prevent progression and improve patient outcomes. The effectiveness of integrating ECG and AI for heart failure detection stems from AI's capacity to meticulously analyze extensive ECG datasets, facilitating the early identification of nuanced cardiac irregularities and enhancing diagnostic precision. While the current research lacks sufficient accuracy and is burdened by complexity issues. To overcome this issue, we proposed a novel Densely Connected Bi-directional Gated Recurrent Unit (Dense-BiGRU) model for accurate heart failure detection. In this work, we enhanced collected ECG signal in terms of performing multiple data pre-treatment including as denoising, powerline interference and normalization utilizing Collaborative Empirical Mode Decomposition (CEMD) algorithm, Adaptive Least Mean Square (Adaptive LMS) and min-max normalization method, respectively. Here, we utilized the LiteStream_Net layer for extracting appropriate feature from pre-processed signal. Finally, based on extracted features heart failure detection is implemented through introducing Dense-BiGRU algorithm. The proposed research is implemented using MATLAB simulation tools, and its validation is conducted through various simulation metrics including accuracy, recall, precision, F1-score, and AUC. The results of the implementation demonstrate that the proposed research surpasses existing state-of-the-art methodologies.
Panoptic Segmentation with Multi-Modal Dataset Using an Improved Network Model
Authors: Gouranga Gouranga ,   School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India.,   School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India., Mandal Gouranga
Published: July 2024

For biomedical image analysis, instance segmentation is crucial. It is still difficult because of the intricate backdrop elements, the significant variation in object appearances, the large number of overlapping items, and the hazy object borders. Deep learning-based techniques, which may be separated into proposal-free and proposal-based approaches, have been frequently employed recently to overcome these challenges. The existing approaches experience information loss due to their concentration on either local-level instance features or global-level semantics. To solve this problem, this work proposes an improved dense Net ( ) that mixes instance and semantic data. The suggested promotes the acquisition of semantic contextual information by the instance branch by linking instance prediction and semantic features via a residual attention feature integration strategy. The confidence score of each item is then matched with the accuracy of the prediction using a dense quality sub-branch that is created. A consistency regularisation technique is also proposed for the robust learning of segmentation for instance branches and the semantic segments tasks. By proving its utility, the proposed outperforms prevailing approaches on various biomedical datasets.
Drought Prediction with Feature Enhanced LSTM Model using Metaheuristic Optimization Algorithms
Authors: admin admin ,   SCOPE Vellore Institute of Technology Vellore, Tamil Nadu, India,   SCOPE Vellore Institute of Technology Vellore, Tamil Nadu, India, Mekala A. Mary
Published: July 2024

The impact of drought builds on all three fronts of economy, environment, and society is devastating. Predicting its arrival and duration is highly important to arrange any sort of mitigation plans. The association of detailed relationship between multiple variables makes drought prediction a highly complex task. Especially influence of global warming, polar sea extent variations and their influence on overall ocean temperature have altered the seasonal rainfall behaviors all over the world. In the midst of it, predictions centered on the history of rainfall levels become inaccurate. The proposed system is an optimized deep learning prediction model integrating indigenous knowledge (IK) is proposed to predict the drought. IK expressed in human language is translated using fuzzy function and fed to an improved Long Short Term Memory (LSTM) model. The LSTM model hyperparameters are optimized using a hybrid of Particle Swarm Optimization (PSO) with firefly to produce the meta-heuristics algorithm which will provide the best performance in presence of integration of IK features into modern meteorological features which solves the problem of local minima in LSTM hyperparameter optimization. The performance of the proposed results were tested compared with the meteorological information gathered by the Karnataka Natural Disaster Monitoring Centre (KNDMC) for the district named Chitradurga of the Karnataka state in India. The proposed system which is Indigenous Knowledge merged along the cross model attention network can produce at least 1.4% higher Nash–Sutcliffe model efficiency coefficient (NSE) and 30% lower Mean Absolute Error (MAE) in the prediction of Standard Precipitation Index (SPI) compared to Convolution Neural Networks (CNN) and LSTM based time series prediction models.
Fuzzy Sampling Strategy Based on IPD
Authors: V. V. ,   Assistant Professor, Karunya Institute of Technology and Sciences,  Coimbatore, India,   Assistant Professor, Karunya Institute of Technology and Sciences,  Coimbatore, India,   Assistant Professor, Karunya Institute of Technology and Sciences,  Coimbatore, India,   Assistant Professor, Karunya Institute of Technology and Sciences,  Coimbatore, India, Edna K. Rebbeca Jebaseeli , P. Evanzlin. , C. Bazil Wilfred.
Published: July 2024

If a production process modification is implemented with the intention of enhancing product quality, IPD models a suitable probability distribution for the number of sample defects. If a manufacturing process intervention is done with the purpose of increasing product quality, IPD models a suitable probability distribution for the sample's total number of defects. When the production process with the interference parameter is considered, fuzzy sampling plans based on IPD are found to be more effective than the current strategy. The Intervened Poisson distribution is used to develop single sampling strategy for such lots when there is ambiguity regarding the percentage of defective items. With fuzzy probability, the plan's operating characteristic curve is obtained. The mean of outgoing quality is derived using fuzzy parameters.
Disease Patterns of Ankylosing Spondylitis Associated Treatment Patterns and Drug Utilization among Affected Patients
Authors: Rashid Muhammad Umer , Khurshid Amina , Shaukat Hassan , Ashraf Fahd Farooq , Lodhi Muhammad Haseeb , Naveed Amir , Habib Muhammad Farrukh
Published: July 2024

Ankylosing Spondylitis is disease with significant morbidity. With biological DMARDs, treatment is revolutionized compared to conventional options. The article will discuss disease pattern, risk factors and treatment response of various drugs on this disease. Objective: To evaluate the prevalence, risk factors, treatment patterns, and drug utilization associated with Ankylosing Spondylitis (AS) among patients in clinical practice. Methods: This cohort study was done at territory care hospital in Rawalpindi from June 23 to December 23. Data comprised of methods to identify AS, particular tests used to verify diagnosis, numerical and clinical traits of patients included. Study also peruse percentage of patients identified as HLA-B27 positive, Time elapsed between initial symptom appearance and clinical diagnosis of AS, satisfaction of classification criteria and treatment strategies employed, such as advanced therapies for controlling AS disease activity. Results: Mean values for current disease occurrences and functional index outcomes were 3.3 ± 2.1 and 1.8 ± 1.09 in the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Bath Ankylosing Spondylitis Functional Index (BASFI) were used, respectively. Patients in study received treatment with adalimumab (43%) and Infliximab (27%) for an average period of 3.1 ± 2.1 years. Treatment satisfaction showed convenience domain had lowest score (4.2), whereas scores for side effects, effectiveness, and global satisfaction were 93.7, 75.41, and 73.81, respectively. Conclusions: Among bDMARDS adalimumab was most administered followed by Infliximab. Better therapeutics have improved patient satisfaction. Research revealed a significant decrease in productivity as a result of AS
Knowledge Regarding Cervical Cancer Screening Among Medical and Non-Medical Undergraduates in Peshawar, Pakistan: A Step towards Preventive Healthcare
Authors: Khan Khansa , Zahir Salman , Ullah Faqir , Zeb Sultan , Khail Natkai Sulaiman , Usaram . , Rehman Uzair Shafiq Ur , Gul Huma , Mazhar Somia , Shah Jamal
Published: July 2024

A major global health concern, cervical cancer primarily affects younger women and those living in less developed areas. Comprehending students' knowledge, attitudes, and practices around cervical cancer screening is essential for future leadership roles in healthcare. Objectives: To assess the knowledge, attitude and practices regarding cervical cancer screening among undergraduate medical and non-medical students in Peshawar, Pakistan. Methods: A comparative observational cross-sectional study was conducted which lasted eight months. To accomplish a sample size of 474 through non-probability convenient sampling technique was used among undergraduate medical and non-medical students’ population from Peshawar. A standardized questionnaire was used for data collection and SPSS version 26.0 was used for data analysis. Results: Among the participants, 62.9% acknowledged the significance of cervical screening in the early detection of lesions and 83.1% correctly identified HPV as the principal cause of cervical cancer. There was a general consensus toward early HPV screening (80.4%), and HPV vaccination (80.6%). However, there were clear differences in practice, 14.1% of participants reported smoking, 18.6% reported having pap smears, and 17.9% reported having had the HPV vaccine. Conclusions: The medical students were more knowledgeable about cervical cancer screening as compared to the non-medical. It was also concluded that even though the participants didn’t participate in many preventive measures, most participants had positive attitudes towards early diagnosis, screening and HPV vaccination
Major functions and importance of dental surgeons in the hospital environment and intensive care units: a concise systematic review
Authors: Carbonera Eduarda , Sampedro Heloisa Helena , Rocha Lara da Silva , Scriboni Andreia Borges
Published: July 2024

Introduction: Contemporary dental care must be comprehensive, aimed not only at dental treatment but also at assessing the patient's health status. In this sense, hospital dentistry is gaining importance in the multidisciplinary health team, which is essential for the therapy and quality of life of hospitalized patients. Objective: A systematic review was carried out to highlight the main functions and importance of the dental surgeon in the hospital environment and intensive care units. Methods: The PRISMA Platform systematic review rules were followed. The search was carried out from January to February 2024 in the Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results and Conclusion: A total of 89 articles were found, 45 articles were evaluated in full and 15 were included and developed in the present systematic review study. Considering the Cochrane tool for risk of bias, the overall assessment resulted in 25 studies with a high risk of bias and 31 studies that did not meet GRADE and AMSTAR2. Most studies did not show homogeneity in their results, with X2=75.8%>50%. It was concluded that it is necessary to train and qualify the entire hospital team and the dental surgeon so that oral health is offered to patients, as well as knowing the impact caused by oral problems on the systemic health of patients and implementing specific protocols on the subject in all aspects. The dentist must promote the general health of the hospitalized individual, based on interdisciplinary planning developed together with other health professionals, as well as assess the patient's main needs and contribute to the quality of life of these individuals. According to the literature consulted, we can conclude how important the role of the dentist is as an integral part of the multidisciplinary healthcare team in ICU, as their presence could minimize such problems in hospitalized patients. Its insertion in hospitals would contribute to the maintenance of the patient's oral and general health, as well as the use of appropriate procedures during their hospitalization.
Market Feasibility and Strategies for the Environment-Friendly Bricks in Bangladesh: A Learning from the Southern Part of Bangladesh
Authors: Shahen Md. Abu
Published: July 2024

This paper tried to assess the market feasibility and potential strategies for environmentally friendly bricks in southern Bangladesh. To assess the feasibility, the researcher used a mixed-methods approach. A total of 120 respondents were interviewed, including customers, entrepreneurs, wholesalers, masons, and laborers. The paper found that 85% of respondents were familiar with eco-friendly products, with 85% prioritizing them when buying. They prioritize product quality and price, with bricks being the most expensive. Most respondents believed eco-friendly construction materials were sustainable, cost-effective, and environmentally friendly. However, sales of burnt bricks decreased compared to the previous year, with 30% selling 40000 pieces of bricks last year. This paper also found a growing interest in using environmentally friendly building materials, with hollow blocks being more popular. Most enterprises invested on average 225,000 BDT, with an average monthly income of 17,800 BDT. Most respondents had eight male workers, with 80% not having female workers. Moreover, the study found some market management problems, including lower prices, low capital, and lack of digital marketing issues.
Wastewater infrastructure in Nigeria and the USA: A tale of two nations and their pathway to sustainable development
Authors: Onifade Abosede Muinat
Published: July 2024

Sanitation and wastewater management are critical components of public health and environmental sustainability. This article juxtaposes the wastewater infrastructure in Nigeria and the United States, examining the challenges each nation faces and their pathways toward sustainable development. Nigeria struggles with rapid urbanization, population growth, and insufficient infrastructure, leading to widespread reliance on unsanitary disposal methods such as pit latrines and open defecation. These practices result in severe public health issues and environmental degradation, impeding progress towards achieving the United Nations Sustainable Development Goals (SDGs), particularly Goal 6: Clean Water and Sanitation. Conversely, the United States benefits from more developed and regulated wastewater infrastructure, largely driven by the Clean Water Act of 1972. However, rural and economically disadvantaged areas, like the Black Belt region of Alabama, still use straight pipes, discharging untreated sewage directly into the environment, posing significant health and environmental risks. This comparative analysis highlights the importance of addressing social and economic disparities, technological advancements, and policy implementations to achieve sustainable wastewater management. By investing in infrastructure, enhancing regulatory frameworks, and promoting community engagement, both nations can work towards achieving SDG 6, ensuring availability and sustainable management of water and sanitation for all.
The Digital Transformation in Recruitment: Exploring the Effect and Challenges of Online Recruitment
Authors: Bhushan Prashasth , Prof. Sudhir Kumar Shukla
Published: July 2024

The digital transformation in recruitment has fundamentally altered the landscape of hiring practices. This research article explores the impacts and challenges of online recruitment, providing insights into how digital tools and platforms have reshaped the recruitment process. By analyzing the benefits and obstacles associated with e-recruitment, this study aims to offer a comprehensive understanding of the current state and future potential of digital recruitment strategies. By examining related case studies, we can harness the effectiveness of online recruitment, equipping ourselves to overcome future challenges and fully benefit from its advantages.
Localized Insurgencies: A Critical Examination of Bhagwanpur’s Role in the Quit India Movement
Authors: Sanjib Patra
Published: July 2024

From the inception of the Swadeshi movement, the residents of Bhagwanpur have etched their names in history through significant struggles such as extremist armed uprisings, non-cooperation movements, salt satyagraha, and civil disobedience movements. Countless common people from the Medinipur district rallied together in the final phase of India’s liberation struggle. These patriotic revolutionaries, who embody the spirit of nationalism, are a source of pride for our district, yet sadly, they have been largely forgotten over time. This collective amnesia can be attributed to past historians’ oversights, research gaps, and the tendency to overlook regional histories. The narrative of history writing should not only serve a political agenda but also aspire to shape a more humane trajectory by emphasizing the human aspect beyond mere political facts. This principle holds for regional historiography as well. The inhabitants of Bhagwanpur have a rich legacy of participating in the freedom movement. Through their valiant efforts during the ‘Quit India’ movement, the people of this Bhagwanpur sub-division have made significant sacrifices and endured hardships. Unfortunately, this history has often been overlooked or left unrecorded for generations. The article primarily focuses on the involvement, organization, challenges, and outcomes of the residents of Bhagwanpur during the August movement. Additionally, it delves into the resilience of the local population in the face of natural calamities such as floods, and cyclones, and their unwavering commitment to the nation’s independence movement.
O PROGRAMA ESCOLA INTEGRADA NA PÓS-PANDEMIA DO CORONAVÍRUS: O QUE PENSAM AS CRIANÇAS E OS ADOLESCENTES DA ESCOLA MUNICIPAL DINORAH MAGALHÃES FABRI
Authors: Ramos Joaquim , Carneiro Maria Sibele
Published: July 2024

O artigo aborda as percepções de estudantes de 7 a 14 anos, matriculados na Escola Municipal Dinorah Magalhães Fabri (Regional Barreiro/Belo Horizonte) sobre o Programa Escola Integrada (PEI), no período de pós-pandemia. Ao refletirem sobre as interações ocorridas durante as atividades desenvolvidas no contra-turno da escola, junto ao referido Programa, esses estudantes fazem emergir questões importantes nas relações estabelecidas com o espaço escolar. Assim, para efeito do aprofundamento das questões apresentadas neste texto, utilizamos grupos de discussão com 13 estudantes do 1º ao 4º ano e 12 estudantes do 5º ao 8º ano. Já com outro agrupamento de 25 crianças mais novas, do 3º ano do Ensino Fundamental, foi solicitado a produção de textos e desenhos que expressassem seus sentimentos sobre a Escola Regular e a Escola Integrada. O resultado dessa investigação permitiu compreender as interações estabelecidas com a escola no retorno às atividades presenciais entre esses sujeitos e seus pares e também entre eles e os adultos. As análises apontam para a ênfase dada em relação ao tempo de utilização da cantina, considerando, dentre outras questões, a fome, o desperdício de alimentos e o trabalho de conscientização realizado pela coordenação do PEI em torno da utilização (in)adequada da comida servida na escola, em um período pouco favorável às famílias brasileiras, em especial às de classes populares.
QUANTITATIVE ANALYSIS OF CLASSIFIED HOTELS AND OTHER ACCOMMODATION FACILITIES IN THE REPUBLIC OF DAGESTAN
Authors: Daitov V.V.
Published: July 2024

Целью настоящего исследования является проведение анализа состава и структуры классифицированных гостиниц и иных средств размещения, функционирующих на территории Республики Дагестан. Показано, что в Республике Дагестан наблюдается преобладание гостиниц первой и высшей категорий, а основная часть гостиниц сосредоточена в городах, особенно в Махачкале и Дербенте. Также отмечено, что часть спроса удовлетворяется за некатегорированными гостиничными предприятиями, а также за счет индивидуальных средств размещения, сдаваемых в наем. В условиях растущего туристического потока существующего номерного фонда классифицированных гостиниц и иных средств размещения не хватает для удовлетворения сезонного спроса. Сделано предположение, что для повышения качества туристических продуктов и удовлетворения растущего спроса на средства размещения, целесообразно развитие туристской инфраструктуры в высокогорных районах Республики Дагестан с акцентом на территории с большим количеством объектов культурного наследия. Показано, что создание туристических кластеров, а также разработка и реализация маркетинговой стратегии региона позволят значительно улучшить качество и разнообразие предлагаемых гостиничных услуг в Республике Дагестан. Комплексный подход к развитию гостиничной инфраструктуры Республики Дагестан позволит не только удовлетворить растущий спрос, но и существенно повысить привлекательность региона для туристов.

The purpose of this study is to analyze the composition and structure of classified hotels and other accommodation facilities operating on the territory of the Republic of Dagestan. It is shown that in the Republic of Dagestan there is a predominance of hotels of the first and highest categories, and the majority of hotels are concentrated in cities, especially in Makhachkala and Derbent. It was also noted that part of the demand is met by uncategorized hotel enterprises, as well as by individual rental accommodation facilities. In the context of a growing tourist flow, the existing number of rooms of classified hotels and other accommodation facilities is not enough to meet seasonal demand. It is assumed that in order to improve the quality of tourist products and meet the growing demand for accommodation facilities, it is advisable to develop tourist infrastructure in the mountainous regions of the Republic of Dagestan with an emphasis on territories with a large number of cultural heritage sites. It is shown that the creation of tourism clusters, as well as the development and implementation of the marketing strategy of the region will significantly improve the quality and variety of hotel services offered in the Republic of Dagestan. An integrated approach to the development of the hotel infrastructure of the Republic of Dagestan will not only meet the growing demand, but also significantly increase the attractiveness of the region for tourists.
PROBLEMS OF PROJECT MANAGEMENT OF STRATEGIC GROWTH OF EDUCATIONAL INSTITUTIONS OF HIGHER EDUCATION FOR THE EXAMPLE OF THE STATE PROGRAM «PRIORITY 2030» AND THE FEDERAL PROJECT «ADVANCED ENGINEERING SCHOOLS»
Authors: Грузинова В.О.
Published: July 2024

Целью данной статьи является идентификация проблем, связанных с реализацией программы «Приоритет-2030» и федерального проекта «Передовые инженерные школы», а также их сопоставление и анализ текущих результатов реализации рассматриваемых проектов. Для достижения поставленной цели в статье рассматриваются основные программные документы, в которых содержатся цели, задачи, вызовы и риски проектов, а также приведены ключевые показатели их реализации. Объектами исследования выступают Томский государственный университет, Томский политехнический университет и Тольяттинский государственный университет, каждый из которых участвует как в программе «Приоритет-2030», так и в федеральном проекте «Передовые инженерные школы». Оценка и рассмотрение программных документов указанных выше университетов, а также сравнение результатов их деятельности позволит сделать вывод об эффективности их работы, а также выявить проблемы, с которыми сталкиваются научными и образовательными организациями. Сделан вывод о необходимости составления более конкретных и обоснованных программных документов, а также о применении более совершенных методов управления проектами с целью выявления проблемных ситуаций и рисков, на которые необходимо реагировать своевременно и в полной мере.

The purpose of this article is to identify the problems associated with the implementation of the Priority 2030 program and the federal project Advanced Engineering Schools, as well as their comparison and analysis of the current results of the implementation of the projects under consideration. To achieve this goal, the article discusses the main program documents, which contain the goals, objectives, challenges and risks of projects, as well as key indicators of their implementation. The objects of the research are Tomsk State University, Tomsk Polytechnic University and Tolyatti State University, each of which participates in both the Priority 2030 program and the federal project Advanced Engineering Schools. Evaluation and review of the program documents of the above-mentioned universities, as well as a comparison of the results of their activities, will allow us to conclude about the effectiveness of their work, as well as identify problems faced by scientific and educational organizations. It is concluded that it is necessary to draw up more specific and well-founded program documents, as well as to apply more advanced project management methods in order to identify problematic situations and risks that need to be responded to in a timely and full manner.
USING EXTENSIVE READING MATERIAL IN TEACHING STORY READING COMPREHENSION FOR 8TH GRADE STUDENTS IN VIETNAM
Authors: Thu Thuy Ngo , Nhu Nguyet Nguyen , Manh Hung Nguyen
Published: July 2024

Vietnamese education is completing a roadmap to change curricula and textbooks, so teachers and students are facing many difficulties and confusion. One of those difficulties is how to use extensive material in teaching reading comprehension to promote students' abilities and meet the requirements of innovative testing and assessment. This article presents research results on concepts and criteria for using extensive material and proposes a process for using extensive material through teaching reading comprehension of story texts with single-line plots for 8th grade students in Vietnam.