bluuebunny/crossref_metadata_2025 huggingface dataset:
Transcriptomic analysis of profibrinolytic and fibrinolytic inhibitor genes in COVID-19 patients
Authors: Febrianti Ika K. , Putra Andani E. , Raveinal Raveinal , Elliyanti Aisyah
Published: July 2024

The immunopathogenesis of COVID-19 infection is initiated by the entry of the SARS-CoV-2 virus into the human body through droplets, entering the lungs and binding to the ACE-2 receptor. Activated macrophages stimulate an immune and inflammatory response, leading to the activation of the coagulation cascade, including profibrinolytic and fibrinolytic inhibitor processes. One of the proteins involved in profibrinolytic is encoded by the PLAUR gene, while fibrinolytic inhibitor proteins are encoded by the A2M and SERPINE1 genes. This research aims to assess the transcriptomic analysis of genetic expression data of profibrinolytic genes, fibrinolytic inhibitor genes and their correlation with serum D-dimer levels, which describe the clinical condition of coagulation in COVID-19 patients. This cross-sectional study included 25 patients each for mild and moderate-to-severe COVID-19 at Dr. M. Djamil Padang General Hospital, Padang, Indonesia. Inter-group gene expression comparisons will be analyzed using log2 folds change, and bivariate tests will be analyzed using correlation. The results show that the PLAUR gene has higher expression in moderate-to-severe compared to mild cases. Similarly, the SERPINE1 and A2M genes expressions are higher in moderate-to-severe compared to mild cases. Furthermore, there is a significant correlation between serum D-dimer levels and profibrinolytic factor (PLAUR gene) expression in COVID-19 patients. The correlation between serum D-dimer levels with fibrinolytic inhibitor factor (SERPINE1 and A2M genes) expression was found. These conclude that there is a significant difference in the expression of the profibrinolytic and fibrinolytic inhibitor genes between mild and moderate-to-severe cases in COVID-19, demonstrating COVID-19 infection affects coagulation activities.
PERGESERAN PERAN FORUM BETAWI REMPUG (FBR) SEBAGAI WADAH IDENTITAS KOLEKTIF SUKU BETAWI
Authors: Lesmana Indra , Zamzamie Muhammad Nazil Fikri , Amellia Wulan Putri , Jupri Muhammad , Mahpudin Mahpudin
Published: July 2024

This research aims to reveal the identity formation of the Betawi Rempug Forum (FBR) from the displacement of the Betawi people in their own land and the identity crisis experienced by the Betawi tribe. Other people's lack of understanding regarding the Betawi tribe sparked a movement by the Betawi people to form an organization or community, namely the Betawi Rempug Forum. This organization was created as a place to fight for the rights of the Betawi people and preserve Betawi culture itself. However, as time went by, the role of the Betawi Rempug Forum organization began to shift from social identity to economic practice. This mass organization is used as a source of livelihood for its members, such as working as a parking lot and maintaining security in the community. In practice, there is symbolic power used by the organization to maintain its territory, giving rise to the symbolic power of the parking lot as power and the emergence of thuggery in the market by carrying out acts of extortion that are not in accordance with the role of the Betawi Rempug Forum in general. This organization disturbs the local community as a result of its symbolic power which is used to obtain personal gain.
PERAN KPU KOTA PEKANBARU DALAM KIRAB PEMILU 2024 UNTUK MENINGKATKAN PARTISIPASI POLITIK DI KOTA PEKANBARU
Authors: Nugraha Muhammad Fathan , Nisaa Fadhiilatun
Published: July 2024

Pemilu merupakan sebuah media untuk masyarakat dalam menyalurkan hak demokrasinya, pemilu menjadi ajang para calon kandidat yang akan memimpin dan menggantikan kepemimpinan yang teradahulu selama masa satu periode. Pemilu sendiri juga menjadi penentu bagaimana keadaan suatu negara untuk kedepaannya, karena pemenang pemilu akan memipin suatu negara dan memiliki kewenangan serta kebijakan dalam membuat peraturan dalam mengatur negaranya, pemilu sendiri tentunya tidak akan berjalan tanpa adanya partisipasi dari masyarakat ataupun lembaga yang menyelenggarakan pemilu. Di Indonesia sendiri lembaga yang menyelenggarakan pemilu ialah KPU (Komisi Pemilihan Umum), tugas KPU sendiri dalam menyukseskan pemilu tentunya harus dapat meningkatkan partisipasi masyarakat dalam mengikuti pemilu sendiri, berbagai upaya dilakukan oleh KPU yang salah satnya ialah kirab pemilu yang diadakan menjelang pelaksanaan pemilu. Menuju pemilu tahun 2024 nantinya, KPU telah menyelenggarakan kirab pemilu dalam rangka menyosialisasikan pelaksanaan pemilu tahun 2024, kirab ialah kegiatan perjalanan bersama-sama dan beramai- ramai beriringan secara teratur dari depan hingga kebelakang, kirab pemilu sendiri merupakan kegiatan sosialisai pemilu yang diadakan dengan cara berkeliling disuatu kota dan berpindah ke kota selanjutnya dengan diikuti banyak orang yang membawa atribut-atribut partai, atribut-atribut yang menggambarkan pemilu, serta maskot yang telah ditetapkan oleh KPU sendiri, kirab pemilu ini dikemas secara meriah guna menarik perhatian masyarakat serta menyosialisasikan pemilu kepada masyarakat umum. Penelitian ini bertujuan untuk mendiskripsikan bagaimana peranan KPU Kota Pekanbaru dalam meningkatkan partisipasi politik di Kota Pekanbaru, yang dimana upaya yang dilakukan KPU ialah dengan mengadakan kirab pemilu.
Promosi Kuliner Tradisional Indonesia di China melalui YouTube: Analisis Konten Video Masak Gulai Ayam Khas Indonesia pada Channel YouTube ‘Yenny di China’
Authors: Dethan Antonietta Gizela , Pracintya Ida Ayu Etsa
Published: July 2024

Melonjaknya angka penggunaan internet di Indonesia yang dimulai pada saat pandemi COVID-19 di tahun 2020, membuat Yenny di Cina merupakan akun YouTube yang konsisten membagikan video berbahasa Cina, bertemakan kuliner tradisional Indonesia kepada target audiens Cina. Tujuan dari penelitian ini adalah untuk mengidentifikasi adanya pesan promosi pada video yang membahas mengenai Gulai Ayam. Metode penelitian yang digunakan adalah deskriptif kualitatif, dengan menganalisis isi konten dalam video. Hasil yang diperoleh adalah video masak Gulai Ayam ini memiliki empat unsur pesan promosi yang meliputi informing, persuading, reminding, dan assisting yang berdampak positif terhadap promosi kuliner tradisional Indonesia di Cina.
AVALIAÇÃO DO PERFIL DE SUSCETIBILIDADE AOS ANTIMICROBIANOS DE BACTÉRIAS GRAM-NEGATIVAS DE ORIGEM CLÍNICA
Authors: Terra Ester , De Mello Wallace , Santos Débora Ribeiro de Souza
Published: July 2024

A resistência bacteriana representa uma ameaça crescente à saúde global, especialmente entre as bactérias Gram-negativas, conforme evidenciado pela lista de patógenos prioritários da Organização Mundial de Saúde (OMS), que destaca a necessidade urgente de novos antibióticos. Este estudo teve como objetivo a avaliação da susceptibilidade aos antimicrobianos de cepas hospitalares. A resistência aos carbapenêmicos é particularmente preocupante, dada a sua importância clínica e a escassez de opções alternativas. Para isso, foram analisadas 34 cepas de bactérias Gram-negativas de origem clínica, isoladas entre março e outubro de 2023. O fenótipo de resistência revelou uma incidência preocupante de resistência aos carbapenêmicos, entre as cepas analisadas. Os resultados apontam para a necessidade do uso de análises moleculares para uma detecção precisa dos genes de resistência. O monitoramento da resistência antimicrobiana é crucial para compreender a disseminação de microrganismos resistentes, permitindo a implementação de medidas preventivas.
REGIMES ADUANEIROS ESPECIAIS PARA IMPORTAÇÃO E EXPORTAÇÃO
Authors: Santos Leônidas Rodrigues de Souza , Pereira Vanessa Gomes , Dos Santos Rosângela , Barros Ana Maria Dinardi Barbosa
Published: July 2024

O estudo explora os regimes aduaneiros especiais como ferramentas estratégicas para o comércio internacional. Estes regimes permitem a suspensão total ou parcial de tributos em operações de importação e exportação, adaptando-se às necessidades de cada empresa e regime. A pesquisa objetiva avaliar o impacto desses regimes na lucratividade empresarial. O regime aduaneiro comum, aplicado em áreas especiais, e os regimes especiais de comércio exterior, todos proporcionam condições fiscais favoráveis, influenciando positivamente a eficiência e produtividade nas negociações internacionais. São examinados regimes específicos como Admissão Temporária, Drawback, Entreposto Aduaneiro, Trânsito Aduaneiro e RECOF-SPED, cada um com características e benefícios próprios, porém com limitações e requisitos a serem observados. A pesquisa conclui que a utilização adequada desses regimes resulta em significativas economias, otimização logística e aumento da competitividade no mercado global, afetando positivamente a lucratividade das empresas envolvidas em comércio internacional.
A EVOLUÇÃO SOCIAL NA INFLUÊNCIA DA EFETIVAÇÃO DOS DIREITOS HUMANOS
Authors: Cuconato Paulo , Dos Santos Dener Martins
Published: July 2024

Este trabalho realiza análise do discurso sobre como a evolução da sociedade brasileira a partir de seus hábitos, costumes, percepções e valores ao atuarem na construção e inserção da dignidade da pessoa humana no direito positivo para a consolidação da vida em sociedade, regradas pelo ordenamento jurídico em conformidade aos preceitos constitucionais. Este artigo não pretende esgotar o tema, mas sim demonstrar como os Direitos Humanos são moldáveis de acordo com a constante evolução da sociedade. Trata-se de uma pesquisa documental e bibliográfica. Através dos preceitos apresentados neste trabalho se concluiu que a evolução social ocorre com a mudança de paradigmas e métricas moldáveis a partir de novos hábitos e costumes. Ressalta-se que tais mudanças seguem um ordenamento jurídico preconizado pela pirâmide de Kelsen e, não obstante, alia-se à pirâmide das necessidades resistidas de Maslow. Os preceitos de Kelsen e de Maslow se completam ao se analisar a evolução social através do viés da valoração da dignidade da pessoa humana.
Editorial, Julho de 2024
Authors: Gorni Carla
Published: July 2024

O objetivo de melhorar a vida da comunidade encoraja o esforço científico. Ciência e pesquisa, quando orientadas por ética, contribuem para um mundo melhor. São antigos  o desejo de desenvolvimento e melhoria sociais e a relação pesquisar/publicar. Pesquisa e seus resultados compartilhados em artigos acontecem individual ou coletivamente. Esta edição - v. 26, n. 51, 2024 - referente ao 2º semestre de 2024, divulga 11 artigos das áreas de: Ciências Agrárias - Medicina Veterinária (1), Saúde (3: fisioterapia, nutrição e farmácia), Contabilidade (1), Jurídica (4), Artes (1: educação musical) e Educação (1: língua portuguesa).  Seus 25 autores, decidindo pesquisar e escrever tanto solo quanto coletivamente, são graduandos, mestrandos, mestres, doutorandos, doutores e pós-doutores em formação ou formados pelo UBM, UNESA, UVA, UNIGRANRIO, UNIRIO, UERJ, UFRRJ, UFRJ, FIOCRUZ, USP E UMSA.  Este periódico interdisciplinar se apresenta como composição abrangendo várias áreas, com autores distintos e formas de pesquisa diversas. Publica-se aqui pesquisas que terminam por conta de resultados analisados e corretamente divulgados e promove-se o início de outras, por conta do conhecimento destes. O fato científico é criado pela publicação, nosso telos.
Modelo aprendizaje-servicio como estrategia dentro del proceso de formación académica para promover la responsabilidad social y la sostenibilidad
Authors: Guadarrama Gómez Irma
Published: July 2024

Formar al recurso humano en temas relacionados con la responsabilidad social posibilita contribuir a la solución de problemas en diferentes temas de interés público. Dentro de la actividad turística, la responsabilidad social se ha caracterizado por ser ambivalente: si bien contribuye al ámbito socioeconómico de un país o destino, también tiene un impacto negativo, ya que, desde el enfoque ambiental, si no se hace un apropiado uso de los recursos naturales y culturales, se impacta en degradación ambiental y pérdida de identidad entre, otros tantos alcances. Por lo anterior, el formar al recurso humano utilizando metodologías que busquen garantizar una educación inclusiva, equitativa, de calidad y que promuevan oportunidades de aprendizaje basadas en la interacción con el medio, así como la relación con los contenidos curriculares en temas de responsabilidad social, posibilita la participación y el compromiso de resolver problemáticas de su entorno con la intención de mejorarlo. Considerando lo anterior y dada la relevancia que ha tomado la sustentabilidad en todos los ámbitos, se realizan importantes esfuerzos desde la iniciativa pública y privada para implementar los Objetivos de Desarrollo Sostenible (ODS) en todas las esferas de la sociedad: desde el sector productivo, a través de la responsabilidad social corporativa (RSC), hasta las instituciones educativas, a través de diferentes metodologías didácticas para contribuir a una educación de calidad. El presente trabajo tiene el propósito de compartir experiencias de formación del recurso humano en la carrera de Turismo en la Universidad Tecnológica de la Riviera maya, que involucran proyectos que han impactado de manera positiva en su entorno y que consideran las competencias técnicas, así como las transversales relacionadas con el “saber ser”, tales como: trabajo en equipo, empatía, tolerancia, proactividad, responsabilidad, entre otros valores.
La educación y el papel de los recursos educativos abiertos en el contexto de los ODS: El caso de la materia Desarrollo Sustentable RUA-UdeG-MX
Authors: Medina Ortega Marco Antonio , Medina Vela Ixchel Nayeli , Neri Guzmán Juan Carlos , Venegas Herrera María Amparo del Carmen
Published: July 2024

De acuerdo con Lemaitre et al. (2018), en los países de América Latina existe una gran cantidad de instituciones educativas que atiende una creciente diversidad de carreras, programas y estudiantes, lo cual se ha convertido en un desafío, dadas las condiciones propias de cada país y la calidad educativa. Por tal motivo, esta diversidad es actualmente el centro de un debate en nuestra región. Para los fines del presente trabajo nos centramos en dos aspectos que consideramos esenciales en términos de calidad en la educación: el paradigma de la sustentabilidad y la utilización de recursos educativos abiertos en la enseñanza en las instituciones de educación superior (IES). En ese contexto, el presente trabajo se inscribe en la línea de investigación: Objetivos de Desarrollo Sostenible, ODS 4, educación de calidad. Para realizar el trabajo se utilizó una metodología enmarcada en el paradigma interpretativo a través de una investigación bibliográfica que recorre diferentes miradas en torno a los recursos educativos abiertos (REA) y el desarrollo sustentable, así como a los ODS 4 y 17 (alianza para lograr objetivos). Posteriormente, se analizó el programa de la materia Desarrollo Sustentable que cursan los alumnos de segundo semestre de la licenciatura en Administración en la Universidad de Guadalajara, para determinar los ejes básicos que estructuran el curso y establecer una nueva estructura que amplíe los ejes analíticos que sustentan el programa referido, con base en la utilización de recursos educativos abiertos en el paradigma del desarrollo sustentable. El resultado obtenido es un programa de curso que permite ampliar la formación de los alumnos en materia de sustentabilidad, en el ámbito del conocimiento en torno a la empresa y con base en el de uso de REA.
Acciones locales, impactos globales: Economía social y solidaria al servicio de la comunidad: El caso de Canastas Solidarias San Luis Potosí, México
Authors: De la Rosa Hernández Martha Angélica , Hernández Velázquez Xóchitl , Neri Guzmán Juan Carlos , Palmer de los Santos Guadalupe del Socorro
Published: July 2024

El presente capítulo tiene como objetivo documentar y describir el caso de Canastas Solidarias San Luis Potosí como un modelo de gestión productiva de economía social y solidaria que contribuye desde lo local al cumplimiento de los Objetivos de Desarrollo Sostenible. La investigación se basa en un diseño exploratorio, de tipo cualitativo, y utilizó la metodología de estudio de caso a fin de documentar la experiencia. La lectura de este capítulo busca inspirar a otras comunidades o grupos de productores a llevar iniciativas de este tipo, pero tomando en cuenta sus características propias y si existe voluntad de los diferentes actores involucrados.
Социально-экономическое развитие поселений Камчатского края: современный уровень и потенциал
Authors: Ушаков Евгений Александрович
Published: July 2024

В статье рассмотрены вопросы, связанные с уровнем современного социально-экономического развития и потенциалом поселений. Объектом исследования являются муниципальные поселения и населенные пункты Камчатского края. Камчатский край является отдаленным субъектом РФ от основной западной части страны. Это слабоосвоенный регион с очаговым типом расселения, слабой транспортной инфраструктурой и обладает неблагоприятными природно-климатическими условиями для проживания и освоения территории. Муниципальные поселения и их населенные пункты были поделены на 3 группы в зависимости от их экономико-географического расположения. Каждая из этих групп имеет различия в факторах развития и потенциале своих поселений (населённых пунктов), что сказывается на их уровень социально-экономической развитости. Наиболее развитыми поселениями являются приморские и прибрежные, которые специализируются на добыче и переработке морских биоресурсов. Менее развитыми являются континентальные поселения – для них природно-ресурсный фактор играет меньшую роль.  Отдельно выделяются пригородные поселения Петропавловска-Камчатского, потенциал которых зависит от развития данного города.  В целом потенциал поселений слабоосвоенного региона более зависим от использования природно-ресурсной базы территории и природно-ресурсный фактор является ключевым для развития большинства поселений.
Karakteristik Ibu Hamil dengan Anemia di Wilayah Kerja Puskesmas Grogol Kabupaten Sukoharjo, Jawa Tengah
Authors: Nurrohmah Anjar , Indarwati  , Andriyani Annisa
Published: July 2024

Angka kematian ibu merupakan salah satu indikator penting pada kualitas pelayanan kesehatan di suatu negara, salah satu penyebab tidak langsung angka kematian ibu adalah kejadian anemia saat kehamilan. Anemia pada ibu hamil dapat dipengaruhi oleh berbagai faktor diantaranya adalah usia, pendidikan, status nutrisi, kunjungan antenatal, paritas,  jarak kehamilan, pola makan,  dan  konsumsi zat besi. Puskesmas Grogol merupakan salah satu Puskesmas yang menempati urutan pertama dengan kasus ibu hamil yang menderita anemia di wilayah Kabupaten Sukoharjo pada tahun 2022. Tujuan penelitian ini adalah untuk mengetahui karakteristik Ibu hamil dengan anemia di wilayah Puskesmas Gogol Kabupaten Sukohajo, Jawa Tengah. Kabupaten Sukoharjo. Penelitian ini merupakan penelitian deskriptik analitik dengan pendekatan cross sectional survey. Populasi yang akan digunakan dalam penelitian ini adalah ibu hamil di wilayah kerja puskesmas Grogol Kabupaten Sukoharjo yang berjumlah 274 orang. Sample dalam penelitian ini adalah ibu hamil trimester 2-3 di wilayah Puskesmas Grogol yang mengalami anemia dan bersedia menjadi responden yaitu berjumlah 53 orang. Berdasarkan hasil penelitian didapatkan bahwa bahwa mayoritas responden berusia 20-35 tahun (73.6%), berdasarkan tingkat pendidikan sebagian besar (SMA 65%), sebagian besar ibu tidak bekerja (73.6%), sebagian besar adalah ibu baru mempunyai satu anak (77.4%), dan berdasarkan perilaku kepatuhan minum tablet besi (Fe) sebagian besar (66%) patuh dengan anemia ringan sebesar 98%.  Sebagian besar responden mempunyai level anemia ringan dengan usia sebagaian besar pada rentang 20-35 tahun, Pendidikan SMA, ibu tidak bekerja, dengan paritas anak lebih dari satu dan patuh mengkonsumsi suplemen zat besi dan sebagian besar mempunyai level anemia ringan
Efektivitas Senam Dismenore Terhadap Intensitas Nyeri Haid Pada Remaja Putri
Authors: Solon Mery , Madu Yunita Gabriela , Lalio Helciyani , Bua' Inggrid Utari
Published: July 2024

Nyeri saat haid biasanya ditandai dengan gejala yang kompleks berupa keram perut bagian bawah yang disebabkan oleh peningkatan produksi prostaglandin alfa endometrium yang menyebabkan kontraksi uterus disritmik, hiperkontraktilitas, dan peningkatan tonus otot uterus atau yang biasanya disebut dengan dismenore.Remaja dapat melakukan intervensi secara mandiri melalui yang dapat dilakukan melaui senam dismenore  tujuan penelitian ini untuk mengetahui efektivitas senam dismenore terhadap intensitas nyeri haid pada remaja putri di SMKN 7 Makassar. Jenis penelitian ini adalah penelitian kuantitatif, dengan desain penelitian Pre-Eksperiment dan menggunakan pendekatan the one group pre-test-post-test design. Pengambilan sampel menggunakan nonprobability sampling dengan teknik purposive sampling dan didapatkan 25 responden yang sesuai dengan kriteria yang ditentukan. Responden diberikan intervensi senam dismenore selama 4 kali dalam seminggu, selama 3 minggu yang dilakukan pada sore hari dan durasi waktu kurang lebih 30 menit. Alat ukur yang digunakan yaitu lembar observasi skala nyeri Numeric Rating Scale (NRS). Dari hasil uji statistik wilcoxon dengan nilai kemaknaan a=0.05, didapatkan bahwa setelah diberikan intervensi, dari 25 responden 24 responden mengalami penurunan intensitas nyeri dan 1 responden yang intensitas nyeri pre dan post tidak mengalami perubahan dengan nilai p value=0.000. Hal ini menunjukkan senam dismenore efektif terhadap penurunan intensitas nyeri haid pada remaja putri di SMKN 7 Makassar. Berdasarkan hasil penelitian ini, disarankan bagi tenaga kesehatan agar menggunakan senam dismenore sebagai salah satu intervensi non farmakologi dalam menurunkan intensitas nyeri haid pada remaja putri.
ELEMENTI VEGETALI SULLE STELE FENICIE E PUNICHE
Authors: D'Andrea Bruno
Published: July 2024

This paper aims to examine the plant iconographies on Phoenician and Punic funerary and votive stelae. Trees, fruit and flowers are widely attested in the repertoire examined both with symbolic functions and as decorative elements intended to setthe scene
ANFORE GRECHE NEL MEDITERRANEO FENICIO.PRIME ATTESTAZIONI TRA VIII E VII SECOLO A.C.
Authors: Melis Ilenia
Published: July 2024

The purpose of this research is outlining the spread of Greek transport amphorasover the Phoenician Mediterranean during the 8thand 7thcentury BC, basing on the data collected in some Phoenician key-sites. A comparison of the repertoire from Kition, Carthage, Motya, Toscanos, Huelva and Cerro del Villar gives preliminary results in order to answer many different questions. It allows to understand,from one hand,the circulation of Greek goods, the distribution patterns and the commercial sea routes, from the other,the value and the reasons behind the request of Greek commodities in these Phoenician settlements.
PHOENICIAN AND PUNIC AMPHORAE IN WESTERN MEDITERRANEAN
Authors: Sáez Romero Antonio M.
Published: July 2024

Amphorae from the Phoenician world of the Far West and the Atlantic sphere have been extensively studied over the last few decades, laying the foundations for a solid chronological and typological dataset that today allows to usethese itemsas a primary source for (proto)historical research in the region. There remain, however, many production sites to be identified and characterised, as well as remarkable deficits in the technological and scientific study of many series and types. Early Iron Age amphorae were versions of Levantine series and defined a new craft tradition, becoming the forerunners of most of the major western repertoires of the following centuries. Between the 6thand 3rdcenturiesBC, however, the main reference were Carthage and its various related manufacturing areas (from Ibiza to Western Sicily), which influenced technically and formally the main western types, and were key to modify their production processes, their managing features (stamps, dipinti, etc.) and even their capacity standards
THE NEXUS BETWEEN TALENT RETENTION & ORGANIZATION PERFORMANCE THROUGH MEDIATING ROLE OF ORGANIZATION JUSTICE
Authors: Ahmad Riaz , Khan Irfan Ullah
Published: July 2024

This study investigates the mediation effect of organizational justice on the relationship between talent retention & organizational performance amid teachers in the higher education institutions. A sample of 323 teachers was selected from a population of 1666 using a specified sampling formula. The mediation analysis followed three key steps. First, it was found that talent retention significantly predicts organizational justice with 70.9% variance. Second, the combined effect of talent retention and organizational justice on organizational performance was examined, revealing that these factors together explain 88.7% of variance in organizational performance. Finally, the direct effect of talent retention on the organizational performance was assessed, indicating that talent retention alone accounts for 83.3% of the change in organizational performance. In this regard, the analysis confirms that organizational justice significantly mediates the relationship between talent retention and organizational performance, highlighting importance of fair and just practices within institutions in order to enhance the overall performances. It is recommended that institutions are required to ensure fairness in all respect to retain talent and improve performance in higher institutions.
NAVIGATING DISCOMFORT FOR GROWTH: STUDENT EXPERIENCES WITH PROVOCATION PEDAGOGY IN PAKISTAN
Authors: Muhammad Yaar , Waqar Yasira , Safdar Samina
Published: July 2024

The content of this study is a qualitative case study on how the provocation pedagogy was adapted and practiced in an experimental peace education classroom situated within Sialkot, Pakistan. Drawing on reflections from 43 students and the instructors field notes, this research examines how these pedagogical approach influences learning; critiques assumptions around district identity and culture; as well encourages critical analysis of the social justice. This research offers important reflections on transformative qualities of provocation pedagogy, and how this sits with other ethical considerations in order to strengthen its use and protect against potential misuse. Findings add a new layer to the perennial debates about pedagogy of discomfort in learning and site-specific peace education. While this study reflects on hope that provocation pedagogy has to offer in engaging students as critical thinkers and as vehicles for transformative cultural work, it also contains ongoing concerns about ethical issues and risks in diverse contexts. To that end, this study serves as a model for educators looking to integrate the type of culturally relevant transformative learning, particularly as it relates to issues of social justice.
ESTABLISHING CAREER COMMITMENT VIA JOB AUTONOMY: EXPLORING GENERAL & SPECIAL EDUCATION TEACHERS’ PERSPECTIVE
Authors: Iqbal Kashif , Fatima Ishrat , Arif Nageen
Published: July 2024

The job autonomy and career commitment are essential but latent factors of teachers’ personality in education and special education. This study aimed to seek job autonomy for establishing career commitment among general and special education teachers. A correlational design was used for data collection from teachers of special education (N = 60) and general education (N = 60). A convenient sampling technique was used in this study. Two self-developed structured questionnaires were used as instruments of the study. The expert opinion (N=02) validated the instrument validity, and reliability coefficients were .816 and .873. The data analysis was done over SPSS version – 23 with descriptive and inferential statistics. The study's findings depicted that most respondents were having freedom to decide what to do each day. The degree of career commitment and autonomy shared by teachers is not significantly different. Thus, study offered valuable data in reaching desired conclusion. Study recommends that professional development opportunities must be provided by special education and school education departments of Punjab to maintain level of job autonomy to develop career commitment among teachers.
A SOCIO-SEMIOTIC STUDY OF MEDIA GENDER MISREPRESENTATION IMPACT ON YOUTH’S COGNITION AND IDEOLOGY
Authors: Habib Hana , Hussain Muhammad Sabboor
Published: July 2024

According to Cook (2001), the advertising content influences and persuades people and contributes to shaping perceptions and attitudes. Advertisers and image producers depict human figures on billboards to develop social affinity between images and viewers. This study aims to explore the patterns of gender misrepresentation in Pakistani print advertisements over socio-semiotic perspective. It focuses on its impact on Pakistani youth’s cognition about the self and other gender dichotomies and gender-based ideologies. This qualitative study employs a descriptive approach to examine semiotic choices made in billboard advertising media. The interviews were led to get deeper insights into impact of gender misrepresentation on youth. Purposive sampling technique is adopted for data collection, while the convenient sampling technique is chosen for interviews. The study results entail that the image producers make explicit and implicit semiotic choices to ascertain gender stereotypical representation of both genders. It is recommended that advertisers and image producers pay heed to this serious issue and portray both the genders positively and neutrally, that can help in establishing an inclusive & progressive society where both genders are respected and play their parts equally.
ASSOCIATION BETWEEN FINANCIAL CRISIS AND DEPRESSION AMONG PRIMARY CAREGIVERS OF VISUALLY IMPAIRED CHILDREN
Authors: Abbas Salbia , Sajjad Momina , Zaheer Noor
Published: July 2024

Primary caregivers of children with disabilities most intently experience higher level of depression, less interactive families and increase social & psychological challenges in contrast to parents of normal children (Benson & Karlof, 2009; Higgins et al., 2005; Cook et al., 2002; Emerson, 2003). The current research explored an association amid financial crisis & depression amid primary caregivers of visually impaired children. The cross-sectional design with quantitative research methodology was used to investigate the association among two constructs. Sample of 150 individuals were recruited through convenient sampling technique. Data was collected from both rural and urban areas of Sialkot and was analyzed by the application of SPSS. The findings of the current research revealed that financial crisis and depression (r=.288**, p<0.01, p<0.05) are linked positively. Values of linear regression explored that financial crisis and depression positively predicts impact on lives of primary caregivers of visually impaired children (r=.360*, p<0.05). The current research suggests that NGOs, human rights federations, Govt. policymakers have potential to significantly impact the ability of parents or caregivers of the visually impaired children to achieve a well-rounded and balanced life.
Enhancing Cloud Data Deduplication with Dynamic Chunking and Public Blockchain
Authors: Arora Richa , D Vetrithangam
Published: July 2024

The majority of cloud service providers (CSPs) store and remove customer data according to certain principles. The majority of them have designed their cloud platform to have very high levels of consistency, speed, availability, and durability. Their systems are built with these performance characteristics in mind, and the requirement to ensure precise and rapid data deletion must be carefully balanced. In the public blockchain, this paper suggests employing the rapid content-defined Chunking algorithm for data duplication. Acute data is frequently outsourced by individuals and organizations to distant cloud servers since doing so greatly reduces the headache of maintaining infrastructure and software. However, because user data is transmitted to cloud storage providers and stored on a remote cloud, ownership and control rights are nonetheless separated. Users thus have significant challenges when attempting to confirm the integrity of private information. According to the experiment results, the suggested dynamic chunking has a fast processing time that is on par with fixed-length chunking and significantly improves deduplication processing capability.
Design of a Model Using Machine Learning and Deep Dyna Q Learning Integration for Improved Disease Prediction in Remote Healthcare
Authors: Bhagwatrao Gaikwad Rama , Lakshmanan Ramanathan
Published: July 2024

In the domain of proactive healthcare management, the imperative for remote health monitoring has escalated, the remote health care in this scenario specially means, the patient is seating at the remote location that is not in the hospital setting, and doctor or healthcare worker is monitoring the health parameters gathered using biomedical sensors and passed through the network. Conventional methodologies, while partially effective, encounter challenges in predictive precision, responsiveness to evolving health dynamics, and managing the vast array of patient data. These limitations underscore the demand for a sophisticated, holistic solution catering to diverse use cases. This work introduces a pioneering framework amalgamating traditional machine learning (ML) models with the advanced capabilities of Deep Dyna Q Learning process to overcome existing constraints. This framework strategically utilizes ensemble of traditional algorithms which amalgamates the strengths of these diverse models. Central to this model is the integration of Deep Dyna Q Learning, empowering the system with real-time adaptability and dynamic decision-making process through reinforcement learning principles, thereby deriving insights from historical and simulated datasets to foster more nuanced, patient-centric decisions. The impact of this comprehensive approach is profound, evidenced by preliminary results showcasing significant enhancements in the efficiency of remote health monitoring systems. Notably, the model achieves increase in precision, accuracy and recall for disease prediction. These improvements signify a paradigm shift towards proactive and efficient healthcare interventions, especially in remote settings. The fusion of traditional ML techniques with Deep Dyna Q Learning emerges as a potent solution, heralding a revolution in remote health monitoring and establishing a new benchmark for proactive healthcare delivery scenarios.
Machine Learning Driven Feature Extraction and Dimensionality Reduction for Image Classification
Authors: Kumar Angati Kalyan , Kancharla Gangadhara Rao
Published: July 2024

Cancer is the leading cause of death globally, affecting various organs in the human body. Early diagnosis of gastric cancer is essential for improving survival rates. However, traditional diagnosis methods are time-consuming, require multiple tests, and rely on specialist availability. This motivates the development of automated techniques for diagnosing gastric cancer using image analysis. While existing computerized techniques have been proposed, challenges remain. These include difficulty distinguishing healthy from cancerous regions in images and extracting irrelevant features during analysis. This research addresses these challenges by proposing a novel deep learning-based method for gastric cancer classification. The method utilizes deep feature extraction, dimensionality reduction, and classification techniques applied to a gastric cancer image dataset. This approach achieves high accuracy (99.32%), sensitivity (99.13%), and specificity (99.64%) in classifying gastric cancer.
Automated Manufacturing Robot Fault Diagnosis in Real Time Using Convolutional Neural Networks
Authors: Mahdi Hussein Ali , K Akilandeswari , Shelke Mayura , Chandrasekaran Sureshkumar , Sadu Vijaya Bhaskar , U Sudha Rani
Published: July 2024

This study introduced a novel real-time Fault Diagnosis Model (FDM) in manufacturing robots by integrating Depthwise Convolutional Neural Networks (CNNs) with Bidirectional Long Short-Term Memory (BiLSTM) networks. The objective is to design a model that can handle the complex high-dimensional sensor data that arrives out of complex, non-linear systems for effective FDM. The work introduced a Feature Extraction (FE) model based on Monte Carlo Filtering (MCF). The work integrates a Depthwise CNN with BiLSTM (DC-BiLSTM) for diagnosis. The integration helps to reduce the computational need and, at the same time, preserve the feature representation. The model was experimented against other models, such as CNN, Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Feed-Forward Neural Networks (FFNN), using a fault dataset sourced from a simulated environment. The results have shown that the proposed model fared well in terms of accuracy, precision, recall, and F1 score against all compared models. The results have judged the proposed model’s applicability in the field of fault diagnosis, which could effectively predict mishaps in advance, thereby helping with efficient maintenance and ensuring continuous productivity.
Genetic Algorithms for Optimized Selection of Biodegradable Polymers in Sustainable Manufacturing Processes
Authors: Nowfal Shaymaa Hussein , Sadu Vijaya Bhaskar , Sengab Sudhakar , G Rajeshkumar , R Anjaneyulu Naik , K Sreekanth
Published: July 2024

Sustainable Manufacturing Practices (SMP), particularly in the selection of materials, have become essential due to environmental issues caused by the expansion of industry. Compared to conventional polymers, biodegradable Polymer Materials (BPM) are growing more commonly as an approach to reducing trash pollution. Suitable materials can be challenging due to numerous considerations, like ecological impact, expenditure, and material properties. When addressing sophisticated trade-offs, standard approaches drop. To compete with such challenges, employing Genetic Algorithms (GA) may be more successful, as they have their foundation in the basic concepts of biological development and the natural selection process. With a focus on BPM, this study provides a GA model for optimal packaging substance selection. Out of the four algorithms for computation used for practical testing—PSO, ACO, and SA—the GA model is the most effective. The findings demonstrate that GA can be used to enhance SMP and performs well in enormous search spaces that contain numerous different combinations of materials.
Advanced Explainable AI: Self Attention Deep Neural Network of Text Classification
Authors: V Prasanna , S Umarani , B Suganthi , V Ranjani , Thangaraju Manigandan , P Uma Maheswari
Published: July 2024

The classification of texts is a crucial component of the data retrieval mechanism. By utilizing semantic details representation, and the text vector sequence is condensed, resulting in a reduction in the temporal and spatial order of the memory pattern. This process helps to clarify the context of the text, extract crucial feature information, and fuse these features to determine the classification outcome. This approach represents the preprocessed text data using character-level vectors. The self-attention mechanism is used to understand the interdependence of words in a text, allowing for the extraction of internal structure-related data. Furthermore, the semantic characteristics of text data have been extracted independently using Deep Convolutional Neural Network (DCNN) and Bi-directional Gated Recurrent Unit (BiGRU) using a Soft-Attention mechanism. These two distinct feature extraction outcomes are then merged. The Softmax layer is employed to categorize the deep-extracted attributes, hence enhancing the accuracy of the classification model. This improvement is achieved by including a uniform distribution component into the cross-entropy loss function. Our results demonstrate that our suggested method for explainability outperforms the model that was suggested in terms of accuracy and computing efficiency. For the purpose of assessing the effectiveness of our suggested approach, we developed many baseline models and performed an evaluation their studies.
GRU Based MCS Selection in Tactical Vehicle Communication
Authors: Hong Seok-Jin , Yun Woong-Jong , Jeong Eui-Rim
Published: July 2024

In this paper, we propose optimal modulation coding scheme (MCS) selection based on Gated Recurrent Unit (GRU) for one-to-one communication between tactical vehicles. The communication between tactical vehicles assumes orthogonal frequency division multiplexing (OFDM) and performs bidirectional communication with time division duplexing (TDD) manner. Since the TDD system uses the same frequency for transmitting and receiving, the bidirectional communication channels are the same. Based on the Signal-to-Noise Ratio (SNR) measuring from the received signal, the MCS at the future transmission time is predicted, utilizing a Gated Recurrent Unit (GRU), which is a type of Recurrent Neural Network (RNN). Existing methods for predicting the MCS from the received SNR include the mean value method and the recent value method, and the method based on the convolutional neural network (CNN). Based on the computer simulation results, the proposed GRU-based RNN technique shows a lower outage probability of communication than all conventional methods while provides the highest throughput.
Energy Efficient Data Aggregation in Wireless Sensor Networks Using Meta Heuristic Based Feed Forward Back Propagation Neural Network Approach
Authors: Kaur Navjyot , D Vetrithangam
Published: July 2024

Sensor nodes are low-cost, low-power, tiny devices that make up the majority of WSNs, or distributed, self-organizing systems. These sensor nodes are able to exchange, perceive, and interpret data. The sensor nodes are equipped with a wide variety of sensors, such as chemical, touch, motion, temperature, and weather sensors. Because of its adaptability, sensors are used in a variety of applications such as automation, tracking, monitoring, and surveillance. Despite the enormous number of sensor applications, WSNs continue to suffer from common challenges like as low memory, slow processing speed, and short network lifetime. The feed forward back propagation neural network mode (FFBPNN) based on meta heuristics aims to create many paths for effective data aggregation in wireless sensor networks. This model handled the process of identifying and selecting the optimum route path. The distributed sensor nodes are utilized to create the various route paths. In this research paper, data aggregation is done using meta-heuristic firefly algorithm that helped in identifying an optimal route from among the found routes. After selecting the operative ideal route choice, the data aggregation procedure practices a rank-based approach to accomplish lower latency and a better packet delivery ratio(PDR). In addition to throughput, simulation was done to improve and measure performance in terms of packet delivery ratio, energy consumption, and end-to-end latency.
Study on Fume Hood Improvements for Energy Savings and Minimum Face Velocity
Authors: Son YoungJin , Bae Sungmin
Published: July 2024

A fume hood is a device that safely exhausts harmful substances generated during the experimental process to the outside, and for the safety of researchers and the protection of experimental samples, the balance between the amount of air flowing in and the speed at which it is discharged to the outside is extremely important. The Face velocity of the fume hood is recommended to be 0.5m/s (ASHRAE 110-2016) specified by the American National Standards Institute (ANSI). The Korea Occupational Safety and Health Corporation specifies 0.4 m/s (KOSHA-G-7-1999). To increase the functionality of the fume hood, it must be operated 24 hours a day while maintaining the prescribed Face velocity to make a safe laboratory environment. However, constantly powering them consumes a significant amount of electrical energy. Therefore, it's crucial to make efforts to reduce energy consumption. Some labs have adopted a method to minimize electrical usage by powering the hoods only when they're in use. In that case, it should be done with great caution. Because hazardous substances inside the hood could be leaked, putting the entire lab at risk. By implementing such measures, organizations and institutions managing lab facilities can effectively reduce energy consumption while ensuring the use of safe fume hoods. Additionally, there's a growing trend in research facilities to maintain Face velocity of fume hoods below 0.25 m/s as part of efforts to decrease and conserve electrical energy. This study stems from preliminary research aimed at achieving a stable face velocity in fume hoods. In this study, to reduce the face velocity of the fume hood, we changed the structural design of the fume hood based on existing research. As a result, the face velocity of the fume hood is reduced from 0.5 m/s to 0.297 m/s. the study reduced the face velocity to a maximum of 0.297m/s. To verify the performance of the fume hood with minimum face velocity, we tested the ventilation performance with the international standard test method. It proves that the fume hood with face velocity 0.297 m/s make no differences compared to existing fume hood with higher face velocity. In addition, the fume hood with minimum face velocity enables the reduction of energy consumption.
Energy Efficient AODV routing protocols for FANETs
Authors: K Mariyappan , R Satish Kumar , R Rajesh Sharma , Sasi Archana
Published: July 2024

All system units in flying UAV like transmitter, receiver equipment, control unit, information processing unit and payloads are powered by in build power sources. UAVs equipped with the limited on-board energy capability restrict the flying time, which will significantly affect the performance of a FANETs. Optimizing the energy consumption among nodes is one of the important research challenges. Optimization techniques for energy usage can be implemented at different OSI layer level. In our study we focused on OSI networks layers solution for performance improvements based on energy efficient routing techniques in flying ad hoc network environments. Routing algorithm that is used in MANETs applications can be optimized and used in FANETS as in both networks majority of the operational characteristics similar. But Few characteristics in FANETs like distance coverage, node mobility velocity, capacity and types of power supply used differentiate from other mobiles networks (VANETs,MANETs). During first phase of our work we evaluated the performance of classical routing protocols AODV, DSR, DSDV in FANETs using energy metrics. Result in first phase revel that AODV performance is superior to other protocols in FANETs. In second phase we designed EEAODV protocols which use energy metrics in addition to hop count for path optimization. Finally details performance comparison study between EEAODV and AODV performed, the result shows that EEAODV performance is much better that AODV. For our performance evaluation we used NS-3 simulator and random waypoint mobility models.