bluuebunny/crossref_metadata_2025 huggingface dataset:
Diseño de un modelo de simulación utilizando dinámica de sistemas para validar estrategias de competitividad de puerto brisa en la Guajira
Authors: Vargas Babilonia Javier Dionicio
Published: October 2024

La competitividad portuaria cada día toma mayor importancia, debido a la voraz competencia que se ha desatado a raíz del crecimiento de este sector de la economía mundial, razón por la cual los puerto están buscando estrategias de competitividad que les permita un posicionamiento y mayor participación en el mercado portuario, el objetivo de esta investigación está orientado a identificar factores de competitividad que permita trazar estrategias que puedan ser validadas a través de un modelo de simulación utilizando la dinámica de sistemas en Puerto Brisa ubicado en el departamento de La Guajira en el norte de Colombia.
Gestión del conocimiento: fundamento para la mejora continua en la acreditación de instituciones de educación superior
Authors: Duarte Forero Edgar , Meza Torres Ricardo , Meneses Velosa Sonia , Fuentes Rojas Ever
Published: October 2024

Los procesos de Acreditación en Alta Calidad para Instituciones de Educación Superior plantean retos asociados a la forma como estas organizaciones aprenden de sus logros y errores con el fin de adoptar ciclos de mejora continua en su gestión. No obstante, esquemas tradicionales basados en aseguramiento de la calidad que han sido aplicados en otros sectores como la manufactura o los servicios, no han tenido pleno éxito desde la óptica de la acreditación de procesos educativos. Si bien estos esquemas tradicionales tienen como objetivo el aseguramiento de altos niveles de calidad en los productos o servicios ofertados, en el campo de la educación tales metodologías no alcanzan a contemplar aspectos propios del sector como la construcción colectiva de espacios de aprendizaje, el desarrollo de objetos didácticos o los procesos evaluativos dentro y fuera del aula. Por su propia naturaleza, las Instituciones de Educación Superior son organizaciones que administran el conocimiento de sus programas académicos en fases de creación, almacenamiento, uso e intercambio. En consecuencia, estudios previos han propuesto a la Gestión del Conocimiento como un marco de análisis que puede apoyar a las Instituciones de Educación Superior sin caer en la lógica del cumplimiento de estándares de Acreditación en Alta Calidad como un objetivo en sí mismo, sino como un medio para el logro de la mejora continua. Este artículo presenta la experiencia del diseño e implementación de un modelo de Gestión del Conocimiento para el programa de Ingeniería Industrial de la Universidad Libre (Bogotá), como un mecanismo de soporte a los procesos de Acreditación en Alta Calidad. El ejercicio desarrollado toma elementos del modelo Skandia para la definición de medición del capital intelectual, así como del modelo de Nonaka y Takeuchi con respecto a la conversión del conocimiento tácito en explícito. La experiencia ha llevado a tres beneficios particulares: documentación y difusión sistemática de más de 150 logros traducidos en acciones de mejora, fortalecimiento de la cultura organizacional alrededor de la Gestión del Conocimiento, y aprendizajes que soportan dos procesos consecutivos de acreditación exitosos. El artículo presenta la articulación entre el modelo de Gestión del Conocimiento adoptado y la metodología de implementación, así como los retos para futuras investigaciones.
Desarrollo de modelo coadaptativo para asistencia en la rehabilitación de muñeca mediante exoesqueletos utilizando Inteligencia Artificial
Authors: Escobar Saltarén Daniel , Salazar Sánchez María Bernarda , Henao Agüirre Sofía Catalina
Published: October 2024

El propósito de este proyecto de investigación es diseñar una estrategia para el ajuste automático de las funciones de un exoesqueleto de muñeca y su sistema acompañante, que permita la coadaptación durante las actividades de entrenamiento de miembro superior. Esta investigación tiene como alcance: (i) identificar factores críticos en el proceso de aprendizaje de los usuarios y caracterizar diferentes grupos o clusters de usuarios según su forma de aprender, tanto dentro de cada una de las sesiones como entre múltiples sesiones para un mismo usuario, así como evaluar la retención de lo aprendido después del entrenamiento; (ii) mejorar las tasas aprendizaje al modificar los parámetros de operación del exoesqueleto, proporcionar retroalimentación visual y recomendaciones a los usuarios, para reducir el tiempo de entrenamiento y mejorar los resultados obtenidos, y (iii) profundizar sobre los procesos de aprendizaje de los usuarios y ofrecer recomendaciones para futuros sistemas de entrenamiento automático y personalizado.
Usulan Perencanaan Persediaan Produk FMCG Menggunakan Metode Algoritma Apriori dan Jaringan Syaraf Tiruan (JST) pada PT Borwita Indah
Authors: Putra Bayu Triadi , Hunusalela Zeny Fatimah , Satya Ririn Regiana Dwi
Published: October 2024

Permasalahan yang dihadapi PT Borwita Indah yaitu terjadinya overstock maupun understock pada produk FMCG. Penelitian ini bertujuan untuk mengetahui perencanaan persediaan produk FMCG dengan faktor terkait yaitu hasil penjualan, stok barang jadi, serta dapat memprediksi dengan tepat sehingga tidak terjadinya penumpukan produk di gudang. Penelitian ini menggunakan algoritma apriori untuk pengambilan data dengan aturan asosiatif (association rule) yang dilakukan melalui mekanisme perhitungan support dan confidence dan jaringan saraf tiruan untuk metode peramalan yang memiliki tingkat error data yang cukup rendah dan cukup baik dalam proses generalisasi sehingga model ini mampu untuk meramalkan data time series untuk beberapa periode waktu ke depan. Itemset data pattern yang diperoleh menghasilkan tingkat kepercayaan pada produk Head&Shoulders dengan produk Pantene sebesar 90,9%, serta tingkat kepercayaan Pantene dengan produk Head&Shoulders sebesar 90,9%. Sementara itu, tingkat kepercayaan untuk produk Vicks dengan Head&Shoulders mencapai 100%. Hasil peramalan untuk 12 periode ke depan untuk masing-masing produk Pantene, Head&Shoulders, dan Vicks memiliki trend peramalan yang fluktuatif sehingga dapat diperhitungkan safety stocknya. Jumlah safety stock yang harus ada pada perusahaan adalah 504 pcs produk Pantene per hari, produk Head&Shoulders 49 pcs per harinya, produk Vicks 35 pcs. Diharapkan dengan adanya penelitian ini perusahaan dapat melakukan pengendalian persediaan produk yang optimal.
Analysis of the Influence of E-Service Quality, E-Word of Mouth, and Promotion and Ads on Consumer Loyalty in the Marketplace
Authors: Sadeli Deva Ismaya , Aritonang Y. M. Kinley
Published: October 2024

The trend of digital-based transactions continues to increase along with the implementation of social restrictions during the pandemic, even it becomes a new habit for the millennial generation after the pandemic ends. In Southeast Asia, Indonesia was the first rank for the retail sales through e-commerce in 2021. The competition among e-commerce, especially the marketplaces in Indonesia has become very tight. Customer satisfaction, trust and loyalty are the important indicators for improving marketplace performance.  In this research, there are three main factors that are further investigated for their influence on customer satisfaction, trust, and loyalty namely e-service quality, e-word of mouth along with promotion and ads. The research was conducted on 162 Tokopedia user with the majority of the millennial generation. Hypothesis testing was carried out using the partial least square structural equation (PLS-SEM) technique. The results of this study indicate that e-service quality has a significant effect on loyalty through satisfaction and trust, promotion and ads has a significant effect on loyalty through satisfaction, and e-word of mouth has no significant effect on satisfaction, trust and consumer loyalty. To get consumer loyalty, the marketplace can improve e-service quality which has the most significant effect followed by promotion and ads.
Non-uniformly Spaced Antenna Arrays with Overlapped Elements Constraint
Authors: Mohammed Jafar , Qassim Noor Mohammed
Published: October 2024

In the literature, inter-element spacing antenna design methods have been widely discussed and presented as an alternative approach to element excitation amplitude and/or phase control methods that may be relied upon to achieve the required array pattern shapes. However, methods associated with non-uniformly distributed elements suffer from the element overlap problem, where some of the optimized element locations may overlap each other and cause changes in the overall array aperture length. Practically, these element overlaps cannot be implemented, due to the physical antenna element size, without omitting some of them. Consequently, the overall performance of the antenna array is degraded. Further, degradation may occur when considering phased arrays with scanned main beams. In this paper, we first illustrate the effect of the problem of overlapped element locations and then we propose two approaches based on the genetic algorithm to optimize non-uniformly spaced arrays with overlapped element locations, while simultaneously preserving the array's directivity. To solve the problem of overlapping and to determine the physical array element size, the minimum element-spacing constraints are incorporated in a simple way in the proposed approaches. Thus, the time required to perform optimization-related computations is greatly reduced. Simulation results confirm the effectiveness of the two proposed solutions, where the probability of the elements overlapping has been reduced to zero under specific conditions related to the locations of the some of the elements, while the peak sidelobe levels were always kept below -15 dB and directivity was maintained, to the extent possible, at the level of that of standard uniformly spaced arrays.
Approximating Fixed Point of (α, β, γ)-Nonexpansive Mapping Using Picard-Thakur Iterative Scheme
Authors: Noorwali Maha , Ullah Kifayat , Ullah Hayat , Arif Muhammad , Nawaz Bashir
Published: October 2024

In this paper, we explore the fixed point approximation of (α, β, γ)–nonexpansive mappings using the Picard-Thakur iterative scheme. We identify the efficiency of Picard-Thakur iterative scheme through a numerical example by comparing it with other iterative schemes. We also proved strong and weak fixed point convergence theorems for (α, β, γ)–nonexpansive mappings by using Picard-Thakur iterative scheme.
MINESWEEPER T.252 «OLGA» OF THE BLACK SEA FLEET IN 1916-1918 (ACCORDING TO RUSSIAN DOCUMENTS FROM THE GERMAN ARCHIVE)
Authors: Pavlenko A.
Published: October 2024

The article is devoted to the service of the minesweeper T.252 (T.352) «Olga» on the Black Sea during the First World War, the revolutionary events of 1917 and the beginning of foreign intervention in 1918. The publication is based on the minesweeper’s logbooks. In 1918, these documents were seized by the Germans and are currently stored in the military-history department of the Federal Archive of Germany. The article describes the process of work on the conversion of the mobilized steamship «Olga» into a minesweeper. Thanks to the logbooks, a chronology of the ship’s service, its execution of control trawling, transport operations, guard duty, installation of navigation support signs, etc. was built. The events of the 1917 Revolution in which the ship’s crew participated are described. The course and results of the elections of the command staff of the minesweeper in December 1917 are considered. A gradual decline in combat effectiveness can be observed. The ship’s service in the Russian fleet ends with the fact that in April 1918, «Olga» was captured by the German submarine UC-23.
THE AGE STRUCTURE OF DIVNOGORSK IN 1959–1989
Authors: Sabenina A.
Published: October 2024

This article is devoted to the analysis of the evolution of the age composition of the young small town of Divnogorsk in the period from 1959 to 1989. The study is based on data from the All-Union population censuses, which makes it possible to compare the age structures of this city with the average values of other cities in the Krasnoyarsk Territory and the RSFSR as a whole. Special attention is paid to the impact of these changes on the demographic landscape of the region, which contributes to a deeper understanding of population dynamics and the development of demographic process management to ensure sustainable socio-demographic development. The analysis of the materials showed and confirmed that Divnogorsk was indeed a young city in the first decades of its existence, the average age and the proportion of the elderly population were lower than in the RSFSR and the cities of the Krasnoyarsk Territory. At the same time, the proportion of children and the working-age population is higher.
ASSESSING THE IMPACT OF DEMONETIZATION: A MACRO AND MICRO ANALYSIS
Authors: Trivedi Arpit , Pillay Tejaswini , Umarji Sneha , Bhatele Aarchi , Chaudhary Ashwin
Published: October 2024

November 7, 2021 announced the end of India's famous five-year demonetization operation. To assess how effective it is, the authors examined both the macro and micro effects. This research was done using secondary data from a poll of 120 regular men and women as well as data provided by the Reserve Bank of India. The survey's findings indicate that there is agreement on how to accomplish targets that include lowering interest rates, boosting cashless transactions, and decreasing corruption. The outcomes show that although the goals have been successfully met in most cases, some areas like micro-level corruption have not seen a substantial decline. People support a more systematic demonetization attempt as well. Policymakers are looking for ways to fight corruption at the national level.The study demonstrates how monetary policy can be utilized to successfully accomplish a number of objectives.
COVID-19 AND THE QUALITY OF AUDIT EVIDENCE: ASSESSING THE IMPACT ON AUDITING PRACTICES IN INDIA
Authors: Kiran Asha , Kaur Parminder , Geetika  , Gupta Harshita , Rajput Sakshi
Published: October 2024

COVID-19 pandemic was truly the striking booster for the surgical empowerment of Digital era and marketing. It revolutionized and transformed the B2B to B2C era. Although the awareness of Digital Marketing was buzzing in air before COVID-19, the visibility was certainly low. Few Top-rated brand corporates were progressively alert about its gravity-based largescale markets, big-size revenue, ensured that digital marketing would create a consumer-driven importance in a way ahead of bridging effective communication between consumers and businesses. Remote-and Hybrid working was the ultimatum in bringing more Online Business to the Marketing Managers onboard. The global consumers were highly influenced by trending digital campaigns and contents popped out on popular social digital platforms. Due to insufficient budget, startups were the first-time game changing players in markets who incessantly fought against all odds facing while developing the software on-demand. Extreme programming and Kanban made things possible and finally experts built viable interface for supporting efficient online infra through consumer-friendly apps and websites. The business corpus was entirely into online campaigns and held onto “Everything’s just ONLINE.” The data shows that out of many challenges, during the phase of COVID-19, 59% of some listed companies fueled their efforts on solving problems in areas of digital marketing and 66% of them finished of the task waiting for an ONLINE world that never was before. POST-COVID was full of new wave excitement, unlimited opportunities piled up for skilled digital marketers and service providers. The hiring process of these skilled content creators, digital marketing managers and online advertisers was just a culture shock in the new age digital era, however, “everything’s just Online” is the outstanding local to global trend in continuing.
THE IMPACT OF PLANTAR OSCILLATION ON SHOOTING ACCURACY: A PRE- AND POST-TEST ANALYSIS OF CENTER OF PRESSURE IN COMPETITIVE SHOOTERS
Authors: Bhati C. P. Singh , Pal Amit
Published: October 2024

This study aimed to evaluate the impact of a targeted intervention on plantar oscillation in professional shooters, focusing on both medial-lateral and anterior-posterior foot movements. Thirty professional shooters participated in pre-and post-test assessments of foot oscillation using stabilometric measurements. Paired sample t-tests were conducted to compare oscillations in the left foot, right foot, and both feet combined before and after the intervention. Significant improvements were observed in medial-lateral oscillation for the right foot (p = 0.017) and both feet combined (p = 0.013), indicating enhanced lateral stability post-intervention. However, no significant changes were found in anterior-posterior movements for either foot (p > 0.05). These findings suggest that the intervention successfully improved lateral balance but had a limited impact on forward-backward stability. Future interventions should incorporate additional activities to target anterior-posterior control for improved overall postural stability in shooting performance.
THE IMPACT OF SOCIAL MEDIA INFLUENCERS ON GENERATION Z'S PURCHASE INTENTIONS IN THE COSMETIC AND SKINCARE INDUSTRY
Authors: Singh Shikha , Agrawal Neelam
Published: October 2024

Influencer marketing, the practice of analyzing, identifying, and endorsing beauty influencers who represent the brand's clientele, is a contemporary trend in the digital landscape across several social media platforms, providing firms with the possibility to promote through social media influencers. The researchers conducted a quantitative analysis utilizing Pearson Product Moment Correlation to assess the effectiveness of social media influencers in the cosmetics and skincare industry on the purchase intentions of Indian consumers. This research is unique since it focuses on the rapidly developing and rising cosmetic and skincare sector within the Indian market. This study is distinguished by the lack of research in India, where social media influencers are integral to brand marketing and advertising strategies. The research has identified four primary hypotheses. The influencing elements for Generation Z Indian consumers encompass Trust, Perceived Credibility, Perceived Image, and Brand Attitude. The data collected indicates that all hypotheses had a strong link and positive association with purchasing intention.
Факторы потребления энергии домохозяйствами Ферганской долины
Authors:   CAREC Institute, Commercial Building Block 8, Vanke Metropolitan, No.66 Longteng Road, Shuimogou District, Urumqi, Xinjiang, PRC, Holzhacker Hans , Rakisheva Botagoz ,   Public Opinion Research Institute (PORI), A.Bekturov street 3/1, office 83, Astana, 010000, Kazakhstan
Published: October 2024

В июле – августе 2023 года Институт ЦАРЭС, Исследовательский институт «Общественное мнение» и Институт АБР провели социологическое исследование по потреблению энергии домашними хозяйствами в Ферганской долине, расположенной на территории Кыргызской Республики, Таджикистана и Узбекистана. На основе результатов данного исследования проанализированы факторы, определяющие выбор того или иного источника энергии для отопления домохозяйств. Данный анализ представлен в настоящей статье. Авторы статьи приходят к заключению, что высокие расходы домохозяйств на покупку угля и осведомленность населения о вреде, который ископаемое топливо наносит окружающей среде и здоровью членов семьи, недостаточны для стимулирования крупномасштабного перехода на экологически чистую энергию. Реальным стимулом к переходу на более чистые виды энергии могло бы стать значительное повышение цен на ископаемое топливо по сравнению с электроэнергией и другими видами экологически чистой энергии. Это могло бы быть осуществлено посредством введения налога на уголь, но нужно обратить внимание на то, что расходы на отопление уже составляют до одной трети всех расходов домохозяйств. В связи с этим во избежание социальных потрясений и негативной реакции на такой налог увеличенные расходы домохозяйств с низким и средним уровнем доходов должны быть компенсированы.
KARAKTERISTIK FASADE BANGUNAN KANTOR PEMERINTAHAN PADA KORIDOR JALAN UTAMA (LANGKO, PEJANGGIK) DI KOTA MATARAM
Authors: Jayatri Putra Pascaghana , Handayani Teti , Intan Putri Mentari Indriani Ni Ketut Ayu , Bachtiar Jasmine Chanifah Uzdah , Raissilski Muhammad Iqbal
Published: October 2024

Pola pengembangan pembangunan di Kota Mataram cenderung linier mengikuti pola    jaringan  jalan utama pada sisi kiri dan kanan jalan. Jalan langko dan Jalan Pejanggik di Kota Mataram merupakan salah satu koridor jalan utama yang membelah pusat kota dengan peruntukan fungsi bangunan pada petak lahan sepanjang sisi kanan dan kiri jalan sebagai bangunan pemerintahan,  perkantoran, perdagangan barang dan jasa. Renovasi dan pembangunan baru pada bangunan utama sepanjang koridor ini banyak dilakukan terkait dengan umur layanan bangunan, perubahan fungsi bangunan, penambahan kapasitas ruang dan jumlah lantai, dan perubahan tampilan bangunan, yang secara bertahap merubah citra kawasan pada koridor tersebut dan turut berpengaruh terhadap perubahan citra Kota Mataram kedepannya. Arah perkembangan terkait tampilan bangunan yang membentuk citra kawasan dapat dibentuk dengan regulasi yang mengatur ketentuan fasad bangunan dapat dimulai dari bangunan pemerintahan, sehingga perlu di lakukan identifikasi pada tahap awal terhadap karakteristik fasad Bangunan Kantor Pemerintahan. Rumusan masalah penelitian ini adalah bagaimana karakteristik fasad bangunan kantor pemerintahan dan bagaimana identitas lokal berpengaruh pada tampilan fasad bangunan pada koridor jalan utama di Kota Mataram. Metode yang digunakan adalah Deskriptif Kualitatif, dengan sumber data survei lapangan, dilakukan identifikasi dan analisis pada tampilan bangunan kantor pemerintahan terhadap 6 komponen fasad bangunan meliputi komposisi, geometri, skala dan proporsi, irama, warna, dan ornamen. Hasil yang didapatkan adalah bangunan kantor pemerintahan di Kota Mataram memiliki karakteristik komposisi yang seimbang dan simetris; geometri bentuk atap pada entrance bangunan yang khas dan unik mengadopsi bentuk gunungan atap lumbung lokal; skala dan proporsi bawah-tengah-atap bangunan ideal; irama berpola pada kolom dan jendela; penggunaan warna cenderung netral atau mewakili instansi tertentu; serta ornamen pada fasad bangunan dengan pola mengarah pada motif-motif lokal.
GEOGRAFIA DA RELIGIÃO E GEOGRAFIA DO VOTO: UMA BREVE CORRELAÇÃO ENTRE OS DOIS SEGMENTOS GEOGRÁFICOS
Authors: SILVA EVANDRO DEL NEGRO DA , Silva Márcia da
Published: October 2024

A pesquisa sobre a relação entre religião e voto vem ganhando notoriedade em diferentes escalas. Sendo importante para a compreensão das novas realidades sociais, tendo como base os poderes (religioso
TECNOLOGIAS E O SEU IMPACTO NA GESTÃO DO CAPITAL HUMANO
Authors: Carvalho João Pedro
Published: October 2024

A tecnologia, cada vez mais, vem exercendo seu papel de facilitadora dos processos organizacionais, como na gestão estratégica de pessoas. Com base em pesquisas via web e com o professor orientador pe
Lembranças escolares de estudantes de camadas populares em uma universidade pública
Authors: Piotto Débora Cristina
Published: October 2024

Compreendendo a permanência no sistema de ensino até seu último nível como um indicador de sucesso escolar, pesquisadores vêm desenvolvendo pesquisas, buscando explicar as condições que permitiram trajetórias escolares bem sucedidas em meios populares. Nessa direção, objetivamos com este trabalho discutir as lembranças escolares de estudantes universitários, provenientes das camadas populares. Para isso, foram analisados relatos de doze estudantes oriundos de escolas públicas dos cursos mais e menos concorridos da Universidade de São Paulo - USP. A maior parte dos universitários relatou poucas e negativas lembranças da escola. Mas, três estudantes narraram várias e positivas recordações escolares. Essa diferença é analisada à luz da teoria histórico-cultural e relacionada à qualidade da educação escolar recebida.
A FALSA INFIDELIDADE AMOROSA DE MARIQUINHA VERSIFICADA NO FOLHETO DE CORDEL FLORENTINO E MARIQUINHA NO TRIBUNAL DO DESTINO, DE MARCO HAURÉLIO
Authors: Santos Mikeias Cardoso dos
Published: October 2024

O presente estudo tem o intento de apresentar, por meio da narrativa dos versos de literatura de cordel, uma das temáticas relatadas pelos poetas repentistas e de bancada, que é a tradição poética. O repente é uma manifestação popular que surge do cordel, que advém, primeiramente, da oralidade. Os teóricos da Literatura de cordel defendem que sua aparição aconteceu em Portugal no século XVII e, no Brasil, por conta da colonização de portugueses, franceses e espanhóis no século XIX. A traição é o tema abordado e objetiva-se analisar os elementos indicadores dessa traição e infidelidade no amor até o desenrolar dos fatos, pois, apesar de ser um texto poético, trata-se de uma narrativa. A metodologia aplicada é analítica, pesquisas bibliográficas com análise dofolheto de cordel. Os autores que respaldam essa pesquisa são: Haurélio (2012), Curran (2011), Cascudo (1999), Cascudo (2005), Curran (2003), Diégues Jr. (1973), Lessa (1973), Lopes (1982).
Palavras-chave:poetas populares; infidelidade amorosa; Florentino e Mariquinha; João Osório.
Midiendo la desigualdad de género en política a nivel subnacional: la propuesta del Índice Subnacional de Derechos Políticos de las Mujeres (ISDPM)
Authors: Eizaguirre María Victoria
Published: October 2024

El estudio de los derechos políticos de las mujeres y su garantía en el nivel subnacional en países descentralizadospolíticamente es un tema sobre el que la producción académica es muy incipiente. Los estudios subnacionales en cienciapolítica se han caracterizado históricamente por sufrir de una gran “ceguera de género”, y los estudios sobre derechospolíticos de las mujeres por incurrir en un nacionalismo metodológico. Partiendo de este escenario, y buscando responderal interrogante “¿Cómo es posible medir el acceso de las mujeres a sus derechos políticos bajo diseños institucionalesdescentralizados como los federales?”, el presente artículo se propone realizar un aporte al estudio de la democraciaparitaria desde una perspectiva subnacional a partir de la construcción de una herramienta de medición: el ÍndiceSubnacional de Derechos Políticos de las Mujeres (ISDPM).
Factores de riesgo laborales asociados a trastornos músculo esqueléticos que afectan a docentes
Authors: Montenegro-López Itzel Ivana , Arana-Blas Richard David
Published: October 2024

En el contexto laboral actual los factores de riesgos laborales se encuentran presente de manera casi natural y su efecto puede conllevar a una serie de manifestaciones que se dan a corto, mediano o largo plazo; más aún en labores en las que hay particularidades en la función que realiza el trabajador. En este artículo se presenta una revisión bibliográfica para identificar factores de riesgos laborales asociados a los trastornos músculo esqueléticos en docentes. Se realizó una revisión bibliográfica en bases de datos, buscadores y revistas científicas encontrando 20 artículos publicados entre los años 2018-2023 en lo que se investigó la prevalencia de trastornos musculo esqueléticos en personal docente, en donde la mayor incidencia es a nivel de la columna dorsolumbar, seguido del cuello y en menor porcentaje el hombro y mano- muñeca, así como codo y antebrazo. Estos trastornos están asociadas a diversos factores como las largas horas laborales en posiciones estáticas que requieren contracciones musculares prolongadas, malas posturas que estresan las estructuras de la columna vertebral y reducida actividad física que comprende la ausencia de pausas activas, impidiendo el reforzamiento de los músculos, así como movimientos repetitivos de los brazos por encima de los hombros, características que se presentan luego de más de 2 años ejerciendo la docencia y a otros personales como hábitos alimenticios y sedentarismo. Sería pertinente establecer estrategias para promocionar la salud ocupacional y así disminuir la incidencia de trastornos musculoesqueléticos en este sector de profesionales.
Advancements in health information technology and their role in enhancing cancer care: Innovations in early detection, treatment, and data privacy
Authors: Amir Mohammad Karimi Forood  , Adegboyega Daniel Osifuwa  , Joy Ene Idoko  , Oyebola Oni  , Comfort Seun Ajaelu  , Francis Agbo Idoko
Published: October 2024

The rapid advancement of Health Information Technology (HIT) has revolutionized cancer care, introducing new capabilities in early detection, individualized treatment, and data security. This paper reviews the key HIT innovations that have reshaped oncology, including the widespread adoption of Electronic Health Records (EHRs), the use of artificial intelligence (AI) in diagnostic processes, and the application of telemedicine and predictive analytics to improve treatment planning. These technologies have enabled earlier and more accurate diagnoses, expanded access to care, and facilitated data-driven, personalized treatment strategies. In parallel, this review addresses the importance of safeguarding sensitive patient data, focusing on encryption, anonymization techniques, and the regulatory frameworks like HIPAA and GDPR that ensure data privacy. Finally, the paper discusses future directions for HIT, particularly the potential of AI-driven decision support systems, real-time data analytics, and privacy-enhancing algorithms to further advance cancer care, creating a more secure, efficient, and patient-centered healthcare system.
An over view of geometric function theory (GFT) and analytic properties of meromorphic functions
Authors: Agbata, B.C  , Ezeafulukwe, U. A
Published: October 2024

This article presents an over view of Geometric Function Theory (GFT) and utilized the analytic properties of meromorphic functions. Geometric Function Theory is a branch of mathematics that focuses on the geometric interpretations and implications of analytic functions defined in the complex plane. Our exploration begins with an itemized discussion of key concepts within GFT, emphasizing their relevance and theoretical underpinnings. Central to our study is the investigation of meromorphic functions, which are functions that are analytic except for isolated singularities where they may have poles. We examined various classes of meromorphic functions and elucidate their properties, including their behavior near singularities and their broader geometric implications. A significant portion of our inquiry involves the Hadamard product of functions. This operation allows us to explore the combined effect of two analytic functions, considering their series expansions and how their product transforms under this operation. By studying the Hadamard transformation, we uncover analogues and interesting results that shed light on the interplay between analytic functions and their geometric representations. We also provide detailed diagrammatic descriptions of fundamental geometric shapes such as circles, open unit disks, and closed unit disks. These diagrams serve to visually illustrate key concepts and relationships within GFT, aiding in the understanding of how analytic functions behave in different spatial configurations. Our article offers a comprehensive exploration of Geometric Function Theory, emphasizing its foundational concepts and their applications in analyzing analytic and meromorphic functions.
Enhancing process automation with AI: The role of intelligent automation in business efficiency
Authors: Abhaykumar Dalsaniya  , Kishan Patel
Published: October 2024

This article discusses the combination of Artificial Intelligence (AI) with Robotic Process Automation (RPA) , that is, Intelligent Automation (IA), a significant improvement in process automation. Traditional RPA, developed to operate in simple routine tasks, only meets great challenges in accurately performing tasks in complex business settings. Thus, leveraging concepts like ML, NLP, and cognitive automation, IA allows organizations to automate flexible, smart, selective, and able-to-learn processes. To do this, this paper explores how AI optimizes RPA, making the process more flexible, and decides the impact that IA will have on business efficiency. In this section, we explain how IA can modify operational outputs, minimize expenditures, increase efficiency, and improve decision-making in different fields based on case studies, research findings, and real examples. Furthermore, the research looks into the possibility of IA in handling novelty, high-automation activities, and the impact on the adaptable competitiveness of an organization.
Exploring the potential of biohydrogen as a sustainable energy solution for Pakistan: A review of production processes and policy challenges
Authors: Fawad Saleem Satti  , Muhammad Awais Munawar  , Danish Rafaqat  , Danish Zahoor  , Khurrum Shehzad Quraishi
Published: October 2024

Due to growing carbon dioxide emissions and the depletion of fossil-based energy sources, international studies have been focusing more intensely on developing hydrogen as a source of renewable energy. Biohydrogen is an exciting and green alternative energy source with various different benefits. Unlike traditional energy sources, biohydrogen production does not emit pollutants, making it a more environmentally friendly option. Biohydrogen generation, particularly from microalgae and other low-cost biomass feedstocks, so offers the dual benefit of delivering clean electricity while absorbing Carbon Dioxide. This research investigates the possibility of biohydrogen as a sustainable energy solution for Pakistan's climate issue. We examine the current state of biohydrogen generation technologies, such as dark fermentation, photo fermentation, bio photolysis, with a focus on their potential application in Pakistan. The study investigates global advances in biohydrogen research and their significance in Pakistan, demonstrating biohydrogen's potential contribution to Pakistan's energy independence and environmental targets, as well as the practical and policy-related challenges that must be addressed to advance biohydrogen energy generation and wider adoption.
Relationship between orthodontic treatment and bone densit
Authors: Betul Yuzbasioglu Ertugrul
Published: October 2024

The aim of this study is to examine the change in bone density around the apex of mandibular anterior teeth in groups formed based on malocclusion types after orthodontic treatment. A total of 18 individuals were included in the study, grouped according to malocclusion types (Class I, Class II, and Class III). This retrospective study analyzed the bone density around the apex of mandibular anterior teeth using fractal analysis on panoramic images. Bone density increased around the apex of mandibular anterior teeth in individuals with Class I, Class II, and Class III malocclusions after orthodontic treatment. Statistically significant differences were found in the change of bone density before and after orthodontic treatment among the malocclusion groups. The greatest change in bone density was observed in the Class III group, while the least change was in the Class I group. The fractal analysis method is a technique that facilitates the diagnosis of minimal changes occurring in patients undergoing orthodontic treatment. Potential changes in teeth and adjacent tissues should be carefully evaluated, and orthodontic treatments should be planned in accordance with these evaluations.
The effects of integrated disease management programs over traditional therapy on outcomes related to exacerbations, activity tolerance, and health-related quality of life in patients with chronic obstructive pulmonary disease: A systematic review
Authors: Fatin Fahad Aldenaini  , Noorah Salem Almarry  , Abeer Ahmed ALMuhana  , Abrar Habeeb Bokhamseen  , Amal Benyan Alotaibi  , Zahra Jaffer Al-Ghawwas  , Zainab Abdullah Kahlini  , Eman Salman Hussain Alsafwani  , Fatimah Ali Talaqof  , Abdullah Mohammed Al-Mutairi
Published: October 2024

Background: In contrast to traditional therapy, the purpose of this study was to evaluate the effects of integrated disease management programs on patients with chronic obstructive pulmonary disease in terms of health-related quality of life, exercise tolerance, and exacerbation-related outcomes.
Method: We searched extensively for studies published between 2016 and 2020 using electronic databases (PubMed, Cochrane, and Google Scholar). Six papers were incorporated into this systematic review.
Result and conclusion: Six trials totaling 3420 randomized individuals were included in this systematic review; two of the investigations were carried out in the United States, and one each in Italy, Israel, Pakistan, and Denmark. Among the interventions are individual instructional sessions, telemonitoring, self-management, and systematic follow-up. The length of the intervention varied from three to five years. Three investigations were carried out in secondary care settings, two in primary care, and one in both primary and secondary care. According to this research, integrated disease care is expected to result in reduced hospital admissions, fewer hospital days per person, enhanced quality of life related to the condition, and the capacity to exercise.
Assessment of lipid profile and its correlation with ASCVD risk in the general population
Authors: Rushabh Parikh  , Nikhil Chougule  , Rajdatta Deore  , Satyajeet Suryawanshi  , Girish G  , Nigil Cleetus  , Santosh Revankar
Published: October 2024

Background: Atherosclerotic cardiovascular disease (ASCVD) is a major global health issue with high morbidity, mortality, and healthcare costs, emphasizing the need for effective risk assessment for prevention and management. This study aimed to assess the lipid profile of the general population and establish correlations with their ASCVD risk. Methods: This cross-sectional study was conducted among the general population in India. Participants were invited through advertisements to attend the ASCVD camp for a lipid profile check-up. Results: A total of 1068 participants were included, with a mean age of 52.7 years. The majority of participants were male (69.8%). Approximately 33% of participants had low ASCVD risk, followed by 31.6% with high risk, and 26.7% with intermediate risk. In the high ASCVD risk group, participants aged ≥60 years were significantly higher compared to those in the low risk, borderline risk and intermediate risk groups (P<0.001). The mean total cholesterol and low-density lipoprotein (LDL) were significantly increased in participants with high ASCVD risk compared to intermediate, borderline and low risk (P<0.001 and P=0.001). The mean HDL cholesterol level was significantly lower in male participants compared to female participants (P<0.001). There was a positive correlation between age (r=0.783), total cholesterol (r=0.372) and the ASCVD risk score (P<0.001 for both). There was negative correlation between HDL and ASCVD risk score (r=-124; P<0.001). Conclusion: This study demonstrates a significant association between lipid profiles and ASCVD risk. Age, total cholesterol, and LDL levels are positively correlated with ASCVD risk, while HDL levels show a negative correlation.
Fortifying cloud environments against data breaches: A novel AI-driven security framework
Authors: Vinay Kumar Kasula  , Akhila Reddy Yadulla  , Bhargavi Konda  , Mounica Yenugula
Published: October 2024

As cloud computing continues to dominate the modern technological landscape, organizations face growing challenges in preventing data breaches and sophisticated cyber threats. The increasing complexity and scale of cloud environments require advanced security mechanisms to address evolving threats. This paper introduces "SecureCloudAI," a cutting-edge AI-driven security framework designed to fortify sensitive data within cloud infrastructures. SecureCloudAI leverages a hybrid approach that combines machine learning models like Random Forest and deep learning techniques, including Long Short-Term Memory (LSTM) networks, to detect, classify, and respond to potential security breaches in real-time. The system offers robust malware detection, network traffic analysis, and web intrusion detection while maintaining scalability and efficiency across large cloud environments. Experimental results demonstrate SecureCloudAI's high accuracy, with malware detection at 94.78% and network traffic classification at 90.92%, ensuring the system can handle both complex and emerging threats. This AI-driven solution marks a significant advancement in cloud security, providing organizations with an adaptive and scalable tool to safeguard their data against the ever-growing cyber threat landscape.
Project Based Learning: Sistem Otentifikasi melalui Deteksi Wajah untuk Akses Pintu Otomatis Berbasis Raspberry Pi
Authors: Alifiansyah Irfan , Akmal Muhamad Raihan , Febrianto Wahyu , Dwijotomo Abdurahman , Fahruzi Iman
Published: October 2024

Permasalahan keamanan merupakan hal yang sangat penting dalam kehidupan sehari-hari. Sistem penguncian pintu tradisional dengan penggunaan kunci fisik memiliki kelemahan dalam hal keamanan. Kunci fisik dapat dirusak, dicuri, atau bahkan dapat direplikasi dengan mudah. Oleh karena itu, perlu dikembangkan sebuah metode baru yang bisa mencegah permasalahan tersebut. Salah satu penerapan teknologi yang bisa dipakai untuk kunci alternatif adalah dengan menggunakan metode pengenalan wajah untuk membuka dan mengunci pintu berdasarkan data orang yang diberi akses pintu. Penelitian ini fokusnya adalah pada pengembangan metode pengenalan wajah menggunakan machine learning dengan teknik histogram of oriented gradients (HOG) yang di kombinasikan dengan linear Support Vector Machine (SVM). Teknik ini dibuat sesederhana mungkin supaya bisa dipasang pada Single Board Computer (SBC) berbasis raspberry pi 4 yang mempunyai sebuah sensor kamera untuk input Machine learning dan output solenoid doorlock. Pada bagian awal, machine learning harus di latih terlebih dahulu untuk mengenali orang yang diberi akses pintu. Data wajah tersebut dikumpulkan dalam bentuk foto yang mencakup variasi ekspresi, posisi, dan kondisi pencahayaan. Gambar data wajah kemudian diproses oleh machine learning untuk membuat model algoritma dataset yang bisa mengenali wajah dengan akurasi tinggi. Selanjutnya, saat sistem bekerja dan mendeteksi sebuah wajah yang mempunyai tingkat kemiripan tinggi dengan model yang dilatih, maka raspberry pi akan membuka solenoid doorlock tersebut dan begitu juga dengan sebaliknya untuk mengunci pintu dan membatasi hak akses bagi yang tidak terdaftar. Metode ini mememberikan kelebihan dalam hal keamanan, karena hanya pengguna yang memiliki wajah yang terdaftar dalam dataset yang dapat membuka pintu. Sistem deteksi wajah yang dibuat mempunyai tingkat akurasi 83% dan dapat berjalan di sistem dengan kekuatan komputasi terbatas seperti SBC Raspberry Pi 4.
Perencanaan Floating Club House Sebagai Inovasi Bisnis Pariwisata di Kawasan Pantai Amed, Pulau Bali
Authors: Zaidan Roid Hatta , Rindo Good , Amiruddin Wilma , Prasetyo Naufal Abdurrahman
Published: October 2024

Pantai Amed yang terletak di Bali Timur merupakan destinasi wisata populer karena keindahan pantainya dan beach club yang menarik. Sebagai upaya inovatif untuk mendukung ekonomi lokal, dibangunlah floating club dengan konsep futuristic club di kawasan ini. Floating club ini dirancang untuk menarik lebih banyak wisatawan dan sesuai dengan peraturan daerah Kabupaten Karangasem dalam pengembangan infrastruktur. Desainnya mempertimbangkan kapasitas operasional di darat dengan menggunakan perhitungan displacement, deadweight, dan lightweight. Ukuran utama floating club ini adalah LoA = 40 m, B = 40 m, H = 2,25 m, dan T = 1,5 m, dengan kapasitas 200 pengunjung dan 50 kru per hari. Selain itu, perencanaan desain layout, general arrangement, dan model 3D juga dilakukan, dengan total biaya pembangunan sebesar Rp. 23.012.974.239. Floating club ini ditambatkan menggunakan sistem spread mooring untuk stabilitas.
Modification of 2fn-Recuv Test Bench
Authors:   Universiti Tun Hussein Onn Malaysia, Bin Amran Muhamad Haziq , Bin Yaakub Mohd Fauzi ,   Universiti Tun Hussein Onn Malaysia
Published: October 2024

The objective of this study is to modify the 2fn-recuv test bench. The test bench is used to carry out drone flight simulations. It can provide a controlled environment to ensure the drone’s safety. The test bench allows precise data collection and analysis for an unmanned aerial vehicle (UAV). First, a literature review is conducted to understand and analyse the design of the previous test bench. The limitations of CNC machines are also being studied to ensure the modified design can be fabricated. Based on the findings and results, a 3D drawing is created, taking into account the need for machining. The first prototype is made using a 3D printer. It allows for initial testing and checking for possible failures of the design. The completed part of the prototype is then fabricated using a CNC machine. The new test bench is made of aluminium to give it more rigidity and strength. Stress analysis is done using Solidworks 2020 to ensure the test bench can withstand the weight of the drone. The test bench is tested using Labview to record the angle of each movement of the drone, such as pitch, roll, and yaw. The maximum and minimum values indicate the angle of the test bench for the drone’s flight simulation.
The Comparative Study Between the Grid Size of Image Frame Using Image Subtraction and Pixel Expansion Cue for Free Obstacle Region Detection
Authors:   Universiti Tun Hussein Onn Malaysia, Badrol Mohammad Anwaar , Ramli Muhammad Faiz ,   Universiti Tun Hussein Onn Malaysia
Published: October 2024

This research investigates optimizing grid sizes for obstacle detection in Unmanned Aerial Vehicles (UAVs) using vision-based approaches. There were many proper computer visions algorithm that can be used to detect free obstacle region. One of it is by using grid-based approach. By dividing the image that taken by camera, the algorithm can choose the best path to go through.This study willexplore various grid sizes, from 3x4 to 24x32, to determine their effectiveness in detecting free obstacle regions in different environments. The methodology combines image subtraction, pixel expansion cues, and k-means segmentation, with images resized to 640x360 pixels and processed to display only two colors for simplification. The experiments, conducted using an iPhone 12 camera and analyzed with Spyder software and OpenCV, reveal that larger grids are more accurate in complex environments, albeit with higher computational time, whereas smaller grids are more efficient in simpler settings. The research identifies a grid size range of 12x16 to 16x24 as a balanced solution for various scenarios, highlighting the need for adaptive sizing and sophisticated algorithms in UAV obstacle detection.