bluuebunny/crossref_metadata_2025 huggingface dataset:
Metode pembuatan Dalgona Coffee Dessert (DCD) menggunakan konsep BOX
Authors: Hayati Rahmah , Luthfi Muhammad , Mardhiah Ainal , Safwadi Irwan , Rangkuti Marah Sutan , Usman Usman
Published: February 2025

Dalgona coffee has experienced a decline in sale recently. Dalgona coffee dessert is a dessert made from chocolate cake with a mixture of cream and dalgona coffee. Dalgona coffee can be used as a dessert with a new method. Highly tight competition requires manufacturers to attract consumers in desserts. The production process starts from food raw materials to finished products. The aim of this research is to analyze the production method of Dalgona coffee dessert. The research method used a descriptive experimental with stages of material collection, documentation, literature study and product creation. The production process is carried out in one cycle which produces 18 packaged glasses. The "BOX" concept method saving a production costs by 10 percent compared to previous conventional methods. The dalgona coffee dessert production method includes production cost planning which has 4 (four) cost components, including: equipment costs, packaging costs, auxiliary costs, and production costs for 1 pan of chocolate cake or 9 cups of dalgona coffee dessert. The production process was carried out in 1 production with a target of 18 cups. The dalgona coffee dessert production process includes making chocolate cake, cream, and dalgona coffee, and then the packaging process in one cup. Dalgona Coffee Dessert has a balanced taste resulting from sweet and slightly bitter flavors and has a dense texture. Dalgona coffee dessert is affordable and pocket friendly. This product has been marketed in the Haba Dessert Business which is one of the efforts to support Aceh UMKM.
The Influence of Credit Growth, Investment Decisions, Audit Quality, Financial Expertise of Directors and Commissioners on Sustainable Finance
Authors: Halik Dini Justika Istiqawaty , Astuti Christina Dwi
Published: February 2025

This study aims to examine the effect of credit growth, investment decisions, audit quality, and the financial expertise of directors and commissioners on sustainable finance in the Indonesian banking sector. The sample consisted of 47 banks listed on the Indonesia Stock Exchange (IDX) during the period 2021–2023, with a total sample size of 136. The data used is secondary data obtained from financial reports, annual reports, and sustainability reports of banking companies. Data analysis was carried out using the multiple regression method with SPSS version 21. The results of the study show that credit growth has a significant positive effect on sustainable finance, indicating that increasing credit can support the achievement of sustainability goals in the banking sector. On the other hand, investment decisions, audit quality, and the financial expertise of directors and commissioners do not show a significant effect on sustainable finance. This finding suggests that, while other factors are important in corporate management, credit growth remains the primary factor contributing to sustainable finance in the Indonesian banking sector.
De la educación tradicional a las tecnologías digitales
Authors: Zevallos Acosta Uladislao
Published: February 2025

Tratando de responder la incógnita ¿cómo desempaquetar el cerebro?, partimos de una verdad educativa tradicional. En el periodo de la Ilustración (siglo XVIII), Jean-Jacques Rousseau, considerado como el descubridor del niño, en su obra Emilio, o De la educación ([1762]2016), tratado político y filosófico, pide que, junto al desarrollo de la inteligencia, el entendimiento y la razón, se atienda también a los sentimientos, las emociones, los impulsos, es decir, a la raíz misma de la vida y a la vida misma en toda su integridad. Sostiene además que el hombre es bueno por naturaleza, mientras convive en una sociedad inevitablemente corrupta en la que se requiere que a este se le enseñe a ser sobre todo hombre. En sus propias palabras: “El oficio que quiero enseñarle es el oficio de vivir. Reconozco que cuando salga de mis manos no será ni magistrado ni militar ni sacerdote: será primero hombre” (p. 36). Con todo, los cambios históricos ocurridos en la sociedad de ese tiempo permitieron un ambiente social más compatible con las organizaciones educativas.
Caracterización de las Problemáticas presentadas en el Registro Electrónico en el Área Contable de los Profesionales de la Ciudad De Pilar, Departamento de Ñeembucú en el Período 2024
Authors: Pérez Romero Laura Analía , Hipólito Cabañas Jorge
Published: February 2025

Este trabajo aborda la caracterización de las problemáticas presentadas en el registro electrónico en el área contable de los profesionales de la ciudad de Pilar, departamento de Ñeembucú en el período 2024" El trabajo se propone como objetivos: Analizar las características que presentan las problemáticas presentadas en el registro electrónico en el área contable de los profesionales de la ciudad de Pilar; identificar los desafíos más comunes que enfrentan los contadores al adaptarse al registro electrónico; conocer los beneficios que han tenido los contadores con la implementación del registro electrónico en la contabilidad. La investigación fue realizada mediante una metodología descriptiva con enfoque cualitativo y cuantitativo. Como técnica de recolección de datos se utilizaron la encuesta y la entrevista. La población objeto de estudio lo conformaron los funcionarios y propietarios de los estudios contables de la ciudad de Pilar. El estudio evidenció que todos los estudios contables han adoptado el sistema de registro electrónico contable, se encuentran beneficios como la facilidad del procesamiento de los datos y desafíos como la resistencia al cambio y la dependencia de internet, así también se requiere de constante capacitación.
Efectos no Deseados en Mujeres Embarazadas por el Uso de Benzodiacepinas como Tratamiento Ansiolítico
Authors: Aguilar Rodríguez Maykel Eduardo , Valiente Henríquez Steeven Saúl , Salazar Calva Edgar Alexander
Published: February 2025

El uso de benzodiacepinas (BZD) en el tratamiento de los trastornos de ansiedad durante el embarazo plantea dilemas clínicos debido a los riesgos asociados para la madre y el feto. Estos medicamentos, ampliamente utilizados por sus propiedades ansiolíticas, sedantes e hipnóticas, están vinculados a malformaciones congénitas como defectos del tubo neural, anomalías cardiovasculares y alteraciones orofaciales cuando se usan en el primer trimestre. Además, aumentan el riesgo de complicaciones obstétricas como parto prematuro, bajo peso al nacer e hipertensión gestacional, así como de efectos neonatales como el síndrome de abstinencia y depresión respiratoria. En Ecuador, las BZD más utilizadas incluyen diazepam, lorazepam y clonazepam, cuya elección está influenciada por la disponibilidad y el costo. Alternativas terapéuticas no farmacológicas, como la terapia cognitivo-conductual, deben priorizarse, y es fundamental implementar estrategias educativas y políticas públicas que regulen la prescripción de BZD. La monitorización estrecha de las mujeres embarazadas en tratamiento con BZD, junto con el uso de la dosis más baja posible y por el menor tiempo necesario, es crucial para minimizar riesgos y garantizar la seguridad materno-fetal.
Grado de Obesidad y Niveles de Hemoglobina Glucosilada en Pacientes con Dm Tipo 2 Mayores de 60 Años
Authors: Treviño González Isaac Servando , Calzoncit Magallanes Ana Gabriela , Esparza Treviño Karla Ivette , Lozano Mendoza Carlos Ramiro
Published: February 2025

La diabetes mellitus tipo 2 (DM2) representa el 90% de los casos de diabetes y es un problema de salud global relacionado con factores como el sobrepeso y la obesidad. Este estudio tuvo como objetivo analizar la relación entre el grado de obesidad y los niveles de hemoglobina glucosilada (HbA1C) en pacientes con DM2 mayores de 60 años atendidos en la UMF No. 09 en Frontera, Coahuila. Se realizó un estudio cuantitativo, retrospectivo y transversal con 360 pacientes. Se revisaron expedientes clínicos para obtener datos sociodemográficos, índice de masa corporal (IMC), grado de obesidad, comorbilidades, niveles de HbA1C y uso de antidiabéticos orales. Las variables incluyeron HbA1C como dependiente, obesidad como independiente, y comorbilidades, edad, género, peso, talla e IMC como intervinientes. La muestra presentó un 80% de obesidad grado I, 13.6% grado II y 6.4% grado III. El 39.16% mostró control glucémico adecuado (HbA1C ≤ 7%), mientras que el 43.33% tuvo HbA1C > 8%. Las pruebas estadísticas (Kruskal-Wallis y chi-cuadrado) indicaron valores de p = 0.904 y 0.774, respectivamente, concluyendo que no existe una relación significativa entre el grado de obesidad y los niveles de HbA1C en esta población.
Seguridad basada en el comportamiento y disminución de accidentes laborales en el sector manufacturero del Perú
Authors: Riveros Huaranca Yajhayra Mayume
Published: February 2025

El motivo que impulsó este estudio fue la necesidad de examinar la relación entre la Seguridad Basada en el Comportamiento (SBC) y los accidentes laborales en el sector manufacturero del Perú. Bajo esta premisa, se abordó la problemática vinculada a los índices de accidentes ocurridos en un período temporal que abarcó desde 2018 hasta 2022. En cuanto a la metodología considerada, se optó por un enfoque numérico y un nivel que busca la correlación entre elementos. La muestra fue de carácter universal, donde se seleccionó la totalidad de accidentes reportados (43 accidentes) durante el periodo delimitado. Las técnicas utilizadas abarcaron la observación directa y el análisis documental, con la aplicación de instrumentos como listas de verificación y guías de análisis documental. Asimismo, para el procesamiento los datos se dividieron en aspectos descriptivos e inferenciales, empleando tablas y gráficos descriptivos para presentar la información recopilada. Para poner a prueba las hipótesis, se aplicó la prueba Kruskal-Wallis, que arrojó un valor p < 0,05. Como resultado, se aceptaron las hipótesis alternativas, lo que validó con un nivel de confiabilidad del 95%, la conclusión sobre la reducción de accidentes ocupacionales en el ámbito de fabricación de transformadores.
SUBNOTIFICAÇÃO DE ÓBITOS POR COVID-19: A IMPORTÂNCIA DA QUALIFICAÇÃO DE DADOS
Authors: Siqueira Djiuliany Larissa Souza , Krik Matheus Willian , Luhm Karin Regina , Carli Ana Valéria de Almeida , Ruzyk Anna Rosa Rissatto , Goes Giseli Aparecida Ragugneti de
Published: February 2025

Em dezembro de 2019, a Organização Mundial da Saúde (OMS) foi notificada sobre vários casos de pneumonia de origem desconhecida na cidade de Wuhan, China (Ministério da Saúde, 2021). Em fevereiro de 2020, a OMS identificou o agente etiológico: o vírus SARS-CoV-2, que pertence à família dos coronavírus. A covid-19, termo que vinculou o novo coronavírus ao ano em que a doença foi identificada pela primeira vez, espalhou-se rapidamente pelo mundo desde seu surgimento e foi declarada uma pandemia pela OMS em março de 2020 (World Health Organizatio, 2020). A doença pode variar de sintomas leves a graves e, em casos extremos, pode levar à pneumonia grave, insuficiência respiratória e à morte, especialmente em grupos vulneráveis, como idosos e indivíduos com condições médicas pré-existentes (Strabelli e Uip, 2020). Frente a este cenário pandêmico, a vigilância epidemiológica de casos e as estatísticas de mortalidade possuíram grande valor para a administração sanitária, demográfica e epidemiológica (Lana et al., 2020). Além das notificações, os dados da declaração de óbito (DO) foram essenciais para os gestores conhecerem a evolução da pandemia, pois forneciam informações sobre quem, quando e onde estavam ocorrendo os óbitos, bem como fatores de risco e patologias associadas. Contudo, a utilidade das DO depende da qualidade do seu preenchimento e da oportunidade de investigação precoce, tarefa essa que nem sempre é fácil e, muitas vezes, as causas informadas no atestado não correspondem à real causa da morte, sendo importante conhecer o papel da investigação e qualificação das DO na definição do perfil real da mortalidade por covid-19.
Die Umsetzung der EU-Dienstleistungsrichtlinie in der deutschen Verwaltung [Teil II]
Authors: Schliesky Utz
Published: February 2025

Dieser Band dokumentiert die Ergebnisse eines Workshops im Rahmen eines durch den ISPRAT e.V. geförderten Projektes zur "Umsetzung der EU-Dienstleistungsrichtlinie" am 17. und 18. August 2008 in den Räumlichkeiten
der SAP Deutschland AG in Hamburg unter dem Titel „Vom Behördendschungel zur unternehmerfreundlichen Verwaltung". Die Beiträge drehen sich um den Grundsatz der Unternehmerfreundlichkeit im Verwaltungsverfahren, den
Zwang zur Neuverwaltung unter der Dienstleistungsrichtlinie sowie die Auswirkung auf das Gewerberecht. Auch etwaige (notwendige) Anpassungen des Verwaltungsverfahrens auf Basis der Dienstleistungsrichtlinie werden
in diesem Band diskutiert.
MUSEQuBES: The Kinematics of O vi-bearing Gas in and around Low-redshift Galaxies
Authors: Dutta Sayak , Muzahid Sowgat , Schaye Joop , Cantalupo Sebastiano , Chen Hsiao-Wen , Johnson Sean
Published: February 2025

We present a detailed study of the kinematics of O vi-bearing gas around 60 low-mass (median

log
10

(

M
⋆

/

M
⊙

)

 = 8.9) galaxies at low redshift (0.1 < z < 0.7) using background quasars (median impact parameter  ≈115 kpc) as part of the MUSE Quasar-fields Blind Emitters Survey (MUSEQuBES). We find that the majority of the O vi absorbers detected within the virial radius have line-of-sight velocities smaller than the escape velocities and are thus consistent with being gravitationally bound, irrespective of the halo mass. However, the fraction of such absorbers declines at larger impact parameters. The Doppler b parameter and the velocity width (Δv
90) of the O vi absorbers exhibit large scatter inside the virial radius of the host galaxies, but the scatter declines sharply at impact parameter D ≳ 2R
vir. For high-mass galaxies (

log
10

(

M
⋆

/

M
⊙

)

 >  9), O vi absorption displays a larger kinematic spread, quantified by the pixel-velocity two-point correlation function (TPCF). However, the difference becomes marginal when the pixel velocities are scaled by the galaxies’ circular velocities. We do not find any significant difference between the TPCF of isolated and group galaxies when the stellar mass is controlled for. A significant fraction of groups (4/6) with four or more member galaxies do not show any detectable O vi absorption, likely due to the passive nature of the nearest galaxies.
Myocardial infarction treatment through hypoxic environment and Т3 inhibitors: А hypothesis from existing studies
Authors: Junior D. , Diksha I G.N.A.S. , Prawista I G.A.M.H. , Suteja R.C. , Adiputra I K.H. , Purnama G.V. , Purnamasidhi C.A.W. , Sinardja C.W.D. , Putra I G.B.G.P. , Harkitasari S.
Published: February 2025

Myocardial infarction is one of the leading causes of global mortality and is strongly associated with permanent damage and sudden cardiac death. The human heart loses its proliferative ability after birth as cardiomyocytes are compelled to differentiate into mature cells focusing on hypertrophy. Based on the review of existing studies, we hypothesised that the combination of hypoxia and 3, 3', 5-triiodo-L-thyronine (T3) inhibitors could potentially be a more sustainable treatment method. We searched trusted scientific databases, such as PubMed, Directory of Open Access Journals (DOAJ), and Scopus, for relevant studies. T3 is a physiological hormone that was found to promote cardiomyocyte differentiation and inhibit its proliferation. Studies implied that inhibiting T3 during perinatal development could preserve the heart’s proliferative and regenerative capacities for a more extended period. Several animal experiments and human studies have found that inducing a hypoxic environment could revert cardiomyocytes to their endogenous proliferative state. However, long periods of hypoxia were not sustainable due to its deleterious effects on the human body. We suggested that administering T3 inhibitors after the cardiomyocytes have been reverted under hypoxic conditions could enable patients to leave the hypoxic environment while preventing physiological maturation by T3, thus preserving the heart’s regenerative capacity.
Revolutionizing cardiometabolic health: the dual power of GLP-1 receptor agonists and SGLT2 inhibitors: a review article
Authors: Tomova-Lyutakova G. , Lyutakov I. , Kalaydzhiev P. , Kinova E.
Published: February 2025

In a world where metabolic disorders such as non-alcoholic fatty liver disease (NAFLD/NASH) and chronic heart failure (CHF) steadily increase, the limitations of current therapies become even more apparent. Lifestyle changes have been the primary approach to metabolic disorders. However, the new use of glucagon-like peptide-1 receptor agonists (GLP1RA) and sodium-glucose cotransporter-2 (SGLT2) – inhibitors seem to present a breakthrough in improving the outcome of metabolic disorders in diabetic and non-diabetic patients. In the current review, we focused on studies with non-diabetic metabolic disorders. The results underlined the hepatoprotective effect of GLP1RAs on the histological resolution of NASH/NAFLD and improved serum liver enzyme. GLP1RAs, especially Liraglutide, also seem beneﬁ cial in reducing stool frequency in patients suffering from bile acid malabsorption (BAM). SGLT2 inhibitors improve cardiovascular and renal outcomes and decrease the hospitalization rate for heart failure, regardless of the diabetes status. GLP1RA reduce body mass and inﬂ ammation . In conclusion, the most up-to-date studies on the respective topics show that GLP1RAs and SGLT2 inhibitors have promising systemic beneﬁ cial effects on patients with metabolic disorders with or without type 2 diabetes mellitus.
Autoencoder-Integrated WideResNet with Dynamic Optimization (AIW-DynOpt): A Novel Hybrid Deep Learning Approach for Head and Neck Cancer Gene Expression Analysis
Authors: Nargis Aneela , Movania Muhammad Mobeen , Siddiqui Shama
Published: February 2025

Head and neck cancer presents a significant global health challenge, necessitating the development of robust computational models for accurate gene expression analysis. This study introduces Autoencoder-Integrated WideResNet with Dynamic Optimization (AIW-DynOpt), a novel hybrid deep learning framework specifically designed for analyzing head and neck cancer gene expression data. AIW-DynOpt integrates a Deep Undercomplete Autoencoder (DUAE) with a Wide Residual Network (WideResNet) architecture and employs the Successive Halving algorithm for optimal model selection. Utilizing the Cancer Genome Atlas (TCGA) HNSC dataset, which comprises 20,503 genes and 564 samples, our approach focuses on enhancing predictive performance and computational efficiency. A comprehensive evaluation of AIW-DynOpt was conducted, benchmarking it against alternative methods such as DUAE paired with Convolutional Neural Networks (CNN), Support Vector Machines (SVM), and Naive Bayes classifiers. The results demonstrate that AIW-DynOpt consistently outperforms the alternative methods across multiple performance metrics, including accuracy, recall, sensitivity, specificity, and Area under the Curve (AUC). Additionally, AIW-DynOpt exhibits superior computational efficiency, significantly reducing model training time while maintaining high predictive accuracy. This study underscores the potential of hybrid deep learning frameworks in advancing computational models for cancer research, positioning AIW-DynOpt as a promising tool for precise gene expression analysis in head and neck cancer and beyond. 
A new species of Sedum (Crassulaceae, Saxifragineae) from Guangxi, China
Authors: Zou Chun-Yu , Meng Tao , Meng Shi-Yong , Liu Yan
Published: February 2025

A new species, Sedum guangxiensesp. nov., discovered in Guangxi Province, China, is described and illustrated. Molecular phylogenetic analyses and morphological differences indicate that this species is well separated from its close relatives in Sedum, justifying its recognition as a distinct new species. Morphologically, it closely resembles Sedum tosaense and S. emarginatum in its leaf shape, inflorescence type and life form, but it can be easily distinguished in its erect stems when young, much larger leaves, narrowly triangular petals, ovate nectar scales and oblong anthers.
Carulaspis silvestrii Lupo (Hemiptera, Coccomorpha, Diaspididae): redescription and neotype designation, with a key to Carulaspis MacGillivray species
Authors: Nucifora Salvatore , Mazzeo Gaetana , Kaydan Mehmet B. , Ricupero Michele , Russo Agatino
Published: February 2025

The insect genus Carulaspis MacGillivray, associated with Pinidae and Magnoliidae, includes six species: C. juniperi, C. minima, C. visci, C. atlantica, C. taxicola and C. silvestrii. The first description of C. silvestrii lacks key morphological features that are of paramount importance for species identification. Carulaspis silvestrii type specimens also remain undiscovered, suggesting a potential loss of taxon information. This study provides a detailed redescription of C. silvestrii, including drawings, SEM images and neotype designation for taxonomic stability. For the first time, molecular characterization of C. silvestrii was made using a partial 28S ribosomal gene. In addition, a morphological key for distinguishing species of Carulaspis is provided to aid the scientific community in taxonomic and identification endeavors.
Centipedes (Myriapoda, Chilopoda) of Aldabra Atoll (Seychelles)
Authors: Popovici George , Edgecombe Gregory D.
Published: February 2025

Centipedes collected during Royal Society surveys of the arthropod fauna of the Aldabra Atoll in 1968–1975 are identified, described, and illustrated to provide the first checklist to the Aldabran centipede fauna, comprising 12 species. These newly include the lithobiomorph Lamyctes tristani (Pocock, 1893), the scolopendromorphs Scolopendra morsitansLinnaeus 1758, Cryptops cf. japonicus Takakuwa, 1934, Cryptops mauritianus Verhoeff, 1939, and Cryptops nigropictus Takakuwa, 1936, and the geophilomorphs Ityphilus cf. taeniaformis (Lawrence, 1960), Mecistocephalus angusticeps (Ribaut, 1914), Mecistocephalus lohmanderi Verhoeff, 1939, Orphnaeus dekanius Verhoeff, 1938, Ribautia cf. paucipes Attems, 1952, and Tuoba sydneyensis (Pocock, 1891). The geophilomorph genera Hovanyx Lawrence, 1960, syn. nov., and Mixophilus Silvestri, 1929, syn. nov., are revised in light of the examined material and hereby designated junior subjective synonyms of Tuoba Chamberlin, 1920 with the species Geophilus lemuricus Verhoeff, 1939, syn. nov., and Hovanyx waterloti Lawrence, 1960, syn. nov., designated as junior subjective synonyms of T. sydneyensis. The oryid genus Nycternyssa Crabill, 1959, syn. nov., is revised and designated a junior subjective synonym of Orphnaeus Meinert, 1870. New data on intraspecific morphological variation are presented for C. nigropictus, with the validity of Cryptops daszaki Lewis, 2002 being questioned following examination of its type material. The affinities and possible origins of the Aldabran centipede fauna are found to be mainly East African, with several species occurring across other islands in the Western Indian Ocean.
Les entrepreneurs algériens, entre récession et résilience
Authors: Belouti Nabil
Published: February 2025

Le présent article porte sur une analyse de la situation économique en Algérie pendant et après le Covid-19. La crise en question s’est montrée en tant qu’un catalyseur de la recherche scientifique portant sur l’impact de la santé sur la croissance et la stabilité économique. Notre étude se veut une analyse de l’impact du choc sanitaire sur le tissu économique en Algérie. Une étude d’une décennie (2012-2021) de données statistiques portant sur la dynamique démographique fera l’objet du premier point de la présente publication. Le second point sera consacré à l’analyse des résultats d’une enquête de terrain effectuée fin 2021 et début 2022 auprès d’un échantillon de 250 entreprises sur l’impact du Covid-19 sur le management et sur l’organisation des entreprises et l’entrepreneuriat en Algérie.
رحلات علماء الجزائر إلى القدس : (1948-1967) دراسة أرشيف المستعمرات الفرنسية
Authors: سرور موسى
Published: February 2025

استنادا إلى دراسة لتقارير سفر علماء من الجزائر إلى القدس من جهة، لمراسلات الدبلوماسية الفرنسية في الجزائر وباريس والقدس، ومن جهة أخرى، تهدف هذه الدراسة إلى الكشف عن الروابط التاريخية بين الجزائر والقدس عبر التاريخ. وأظهرت هذه التقارير والمراسلات استمرار ارتباط الجزائريين بالقدس، وكذلك الدعم والإغاثة الجزائرية للقدس والجزائريين المرابطين فيها بعد الاحتلال الصهيوني للقدس عام.1948 كما حاولت الدراسة من خلال هذه الوثائق تسليط الضوء على وجود الجزائريين في القدس بعد النكبة، وعدم عودتهم إلى أوطانهم. إذ كشفت المعاناة التي عاشها سكان بلاد المغرب في القدس بعد النكبة، ومنهم الجزائريون؛ وكيف فضلوا البقاء في المدينة المقدسة كلاجئين، يتلقون التبرعات والمساعدات، رافضين العودة إلى أوطانهم الأصلية، بعد أن احتلت إسرائيل مصادر رزقهم، وحاولت فرنسا تقديم المساعدة لهم والدفاع عن مصالحهم في القدس.وعليه، تشرح الدراسة الإشكالية الإنسانية والاستعمارية في العلاقة بين فرنسا وجزائري القدس بين النكبة والنكسة. ويتجلى استغلال فرنسا لمعاناة جزائري القدس لتحقيق مصالح ومشاريع استعمارية على حسابهم، من خلال "حمايتها" للاجئين المقدسيين من أصول شمال إفريقية عموما والجزائريين خصوصا منذ عام 1951م، ورعايتها لرحلات علماء جزائريين إلى ومن القدس.
From Theory to Practice
Authors: Bendraou Rachid
Published: February 2025

This quasi-experimental research investigates how Critical Language Pedagogy impacts vocabulary learning among second-year Moroccan middle school students studying English as a Foreign Language (EFL). Two groups of 25 participants were assessed before and after a three-month intervention. The study provides insights into the effectiveness of critical language pedagogy in enhancing vocabulary acquisition. Pre- and post-intervention data reveal that the experimental group, receiving critical language pedagogy-based instruction, showed significant improvement on the post-test. A paired t-test analysis confirmed a statistically significant difference with a p-value (p < 0.05), indicating critical pedagogy's positive effect on vocabulary learning. This research highlights the value of critical language pedagogy for EFL educators and instructional designers, suggesting its potential to boost vocabulary and overall language development. Future studies could explore its long-term influence on language proficiency in EFL contexts.
Overview of Optimization Algorithms in Deep Learning
Authors: Sikkanan Sobana , Thirupathi Seerangurayar
Published: February 2025

Deep learning aims to minimize the loss during learning the training set parameters essential to meet the objective. In supervised learning method a data set and respective outcomes are given to the model. The model compares the generated output with its desired output, takes the difference between them and tries to produce the final output close to that of the desired output. Applying deep learning models requires design and optimization when solving multifaceted artificial intelligence tasks. Optimization aims at minimizing the loss function where as deep learning aims at finding a desired model for the given set of data. Training a deep learning model may take hours, days or weeks. The efficiency of training model is directly depends on the performance of optimization algorithm used. Deep knowledge on the basics of optimization algorithms and their hyperparameters enable the designer to improve the performance of deep learning model modifying the hyperparameters as per requirement. Hence, solving optimization issues in process automation has evolving as a real-time problem.
Waste Classification Using Improved Deep Learning Method
Authors: Qi Jianchun , Nguyen Minh , Yan Wei Qi
Published: February 2025

In this book chapter, YOLOv8, the effective version in the YOLO series, is modified through data augmentation, context strategies, and an advanced attention mechanism. These modifications aim to primarily improve the quality of waste dataset and the classification accuracy of small objects within given waste classes, thereby boosting the overall performance of the model. The waste data is classified into four classes, and 1,000 waste images were labelled for model training. Upon evaluation, the classification accuracy of the improved model reached 85.6%. The effectiveness of these improvements was further substantiated through ablation studies.
Proposing a Serious Game Design Model Towards Maritime Competency Development
Authors: Gürbüz Süleyman , Celik Metin
Published: February 2025

In maritime domain, interactive and authentic learning environments are needed for competency development of seafarers. This study aims to propose and pilot test a serious game design model which is specific to maritime domain for enhancing the utilization of maritime serious games. In this study, Serious Game Design for Maritime (SGDM), a holistic model to support the design of maritime serious games is firstly proposed. Using the SGDM model, Maritime Leaders at Sea (ML@S), a 3D serious game to enhance the leadership and teamwork skills of young seafarers and maritime students, has been prototyped as a case study. ML@S is conceptualized as a module of the created Maritime Gamentor platform. The compliance test of ML@S proves that SGDM holistic model enables the preliminary design of ML@S in compliance with the STCW requirements and industrial expectations. Further maritime studies can follow the proposed methodology to design additional serious game-based modules for mentoring on maritime skills.
Understanding Student Perceptions in Digital Education Through Deep Learning Stacking Approach
Authors: Bhimavarapu Usharani
Published: February 2025

Digital education has transformed the landscape of modern learning, offering unprecedented access to resources, flexibility, and personalized learning experiences. As universities embrace digital platforms for education delivery, it becomes crucial to understand student perceptions and feedback to enhance the overall educational experience. This study aims to analyze student feedback collected from a prominent northern Indian university, focusing on six critical aspects: teaching quality, course content, lab experiences, library facilities, and the environment of the institute. Using Natural Language Processing (NLP) techniques for data preprocessing, we performed aspect extraction and sentiment classification, employing Bi-Stacked Artificial Neural Networks (ANN) to categorize sentiments as positive, negative, or neutral. The results provide a comprehensive evaluation of the student experience, offering valuable insights into the strengths and areas for improvement within the institution.
Personalized Learning in the Digital Era
Authors: Bhimavarapu Usharani
Published: February 2025

Learning strategies with digital technologies have revolutionized educational practices, offering new opportunities for personalized, adaptive, and engaging learning experiences. The integration of digital tools, such as Artificial Intelligence (AI), machine learning, and digital platforms, enables educators to tailor learning strategies to individual student needs, promoting more effective and efficient learning. This study explores the potential of digital technologies in enhancing learning strategies, focusing on the role of Artificial Neural Networks (ANNs) in personalizing learning pathways for students. By leveraging data such as student performance, learning styles, and engagement, digital technologies can create adaptive learning environments that continuously evolve based on real-time feedback. The study investigates how these technologies can improve learner outcomes by providing targeted support, personalized content delivery, and dynamic feedback mechanisms.
Leveraging AI to Enhance Teaching and Learning in Education
Authors: Yadav Seema
Published: February 2025

The integration of Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR) in education is reshaping the learning landscape by providing immersive and personalized learning experiences. Immersive learning through VR and AR allows for practical simulations and experiential learning, bridging the gap between theoretical knowledge and real-world application. However, challenges such as ethical considerations, data privacy, and the digital divide need to be addressed to ensure inclusive and equitable access to these advanced learning tools. The chapter explores the benefits of AI-driven immersive learning, including improved student motivation, engagement, and retention, while also discussing scalability and the potential for widespread adoption across diverse educational settings. It emphasizes the importance of incorporating ethical frameworks and continuous research to align AI, VR, and AR applications with the evolving needs of modern education, ensuring that these technologies contribute positively to student outcomes and lifelong learning.
Challenges of Adopting Artificial Technology in Human Resource Management Practices
Authors: Şimşek Tuğçe , Şimşek Ahmet Bahadır
Published: February 2025

In this study, the challenges faced by organisations in integrating artificial intelligence (AI) into human resource management (HRM) practises are examined. For that, AI can bring significant benefits, including increasing efficiency and decision-making in the HR processes, namely recruitment, performance evaluation and talent development. Its adoption, however, presents many challenges in technological infrastructure, data privacy, ethical, and organizational culture. This chapter investigates these barriers, particularly the importance of proper management changes and the trade-off between human element and AI's capabilities. The article discusses strategies for overcoming these challenges, the importance of practising ethical AI, data security and employee development. This study offers actionable insights for organisations attempting to leverage AI in HRM in a way that can succeed at both the operational and ethical dimensions.
Role of Artificial Intelligence in Re-Inventing Human Resource Management (HRM) 2.0
Authors: Subrahmanyam Satya
Published: February 2025

The chapter, “Role of Artificial Intelligence in Re-inventing Human Resource Management (HRM) 2.0,” examines AI's transformative role in modern HR practices, particularly in recruitment and retention. AI technologies streamline tasks like resume screening and candidate matching, boosting efficiency and minimizing bias. Additionally, AI-powered analytics provide insights into employee engagement and performance, supporting personalized learning and development strategies that enhance retention. The chapter also explores ethical challenges, such as data privacy and algorithmic bias, stressing the need for transparent AI frameworks. Ultimately, AI fosters a sustainable HRM ecosystem, enabling organizations to attract and retain talent while achieving operational excellence.
The Evolving Landscape of Employee Retention Strategies
Authors: Bhargava Swati , Gudi Shreevatsa , Khanum Rizwana , Thoudam Prabha , Raghuvanshi Vijay
Published: February 2025

In today's ever - changing work setting, companies encounter growing difficulties in holding onto their best employees. The conventional methods of employee retention are being replaced by more creative and customized tactics that cater to the varied requirements of the staff. Here's an examination of the changing scenery of methods to keep employees. The landscape of employee retention techniques is changing to address the evolving requirements of the current workforce. By prioritizing individualization, welfare, incorporation of technology, and diverse surroundings, companies can establish a work environment that promotes dedication and involvement. As these techniques evolve, businesses that give importance to the staff's satisfaction will be in a stronger position to attract and keep high - quality employees, guaranteeing long - term prosperity.
Interdiffusion in β Phase Field of Ternary (Ni, Ru)Al System
Authors: Kumar Sachin , Kulkarni Kaustubh N.
Published: February 2025

Bond coats play a vital role in multi-layered thermal barrier coatings (TBCs), commonly made of B2 (Ni, Pt)Al. However, the presence of platinum (Pt) makes the bond coats costly. To reduce the overall cost and enhance the working temperature of TBCs, Pt can be partially or completely replaced by ruthenium (Ru). For the development of Ru-based bond coats, understanding the interdiffusion behavior of (Ni, Ru)Al is essential. In the present work, the interdiffusion behavior in the single B2 phase of the ternary (Ni, Ru)Al system was studied at 1100 °C using the diffusion couple technique. Experimental concentration profiles were obtained using an Electron Probe Micro-Analyzer, which was further fitted and analyzed for interdiffusion fluxes by utilizing the MultiDiflux software. Kirkaldy's approach was employed to determine the interdiffusion coefficients in the ternary B2 (Ni, Ru)Al system.
Pseudoboehmite for Metformin Release
Authors: Lazarin Jr. Eloi , Silveira Joe M.B. , Oliveira Patricia C.M. , Peres Renato M. , Barbosa Isabella , Ribeiro Roberto R. , Sarmento Bruno , Bernussi Ayrton , Munhoz Jr. Antônio Hortêncio
Published: February 2025

Pseudoboehmite is a synthetic ceramic material obtained by the sol-gel process consisting of a network of inorganic oxides with high porosity and purity that can be used for drug delivery systems. This work studied the interaction between Metformin (Metformin Hydrochloride) and pseudoboehmite, which were treated with this ceramic material in the controlled drug release. The in vitro metformin release test was evaluated using UV-Vis spectrophotometry. X-ray diffraction data show that only the pseudoboehmite phase is present in the sample.
Effect of Processing and Heat Treatment on the Color of the Water Atomized Steel Shots of High Carbon Steel
Authors: Lee Minsuk , Battulga Nomin Erdene , Shin Keesam
Published: February 2025

The color of water atomized steel shots changes upon processing and heat treatments due to the compound formation on the steel shot surface. In this study, color change is studied at each step of the water atomized steel shots and for size variation using various microscopic techniques such as OM, SEM, TEM and spectroscopic techniques such as AES and XPS. The results show that the color of the shot balls changes due to the formation of FeOOH, FexOy, etc. depending on the heat treatment and natural oxidation upon exposure to the environment, whose thicknesses also depend on the severity of processing and heat treatment for the compound formation.
Electrochemical Potentials of Cobalt Oxide Nanofluid for Improved Oil Recovery with the Aid of Electromagnetic Field
Authors: Soleimani Hojjatollah , Sikiru Surajudden , Soleimani Hassan , Rostami Amir , Khodapanah Leila , Yeganeh Ghotbi Mohammad , Rahmanian Nejat , Sabet Maziyar
Published: February 2025

Oil reservoir formation damage is a significant issue in secondary and tertiary oil recovery operations. Enhanced oil recovery (EOR) approaches can address these issues while increasing production rates and resource recovery. However, challenges include chemical degradation, high chemical volumes, and high costs. Nanotechnologies can improve oil recovery by improving subsurface porous media and pore fluids, separating fluid phases, and introducing influencing coatings. Cobalt oxide-based materials have been extensively evaluated for their amphiphilic properties, thermal stability, and high reactivity, which can modify physicochemical properties and improve crude oil recovery. CoO nanoparticles were characterized using various techniques, including Fourier Transform Infrared Spectroscopy (FTIR), Raman spectroscopy, X-ray photoelectronic spectrometry, and Field Emission Scanning Electron Microscope (FSEM). Results showed that CoO nanofluid positively affects reservoir minerals with electromagnetic fields and improves oil recovery. It also improves thermal stability, promotes stable emulsion formation, decreases the interfacial tension (IFT) up to 15% for the light-crude-oil/water system at concentrations of 0.5 wt% nanofluid, and can improve thermal stability with respect to CoO in a wide range of temperatures, favouring the formation of stable emulsions.
A Study of Diffusion Coefficients: Database and New Device
Authors: Ribet Alexis , Jardin Pascal , Lalande Mathieu
Published: February 2025

The aim of the TULIP (Target ion soUrce for short-Lived Isotope Production) device is dedicated to the production of short-lived neutron deficient ions using ISOL (Isotope Separator On Line) method. The efficiency of such device depends on several parameters: diffusion, effusion and ionization processes, which must be optimized to maximize the efficiency. As short-lived, the elements must release from the stopping material in a short time, explaining our focus on the diffusion parameters and our effort to build a database gathering diffusion parameters concerning a large variety of target-element combinations. For this purpose, an important bibliographical work is underway in order to collect as much data as possible. An another offshoot of the TULIP ISOL project is to build a system (MELODICA device, MEsure en Ligne de cOefficients de DIffusion et de temps de Collage Atomique) to systematically measure the diffusion coefficients of atoms out of materials at high temperatures. Moreover, to get rid of constraints related to the use of radioactive elements, the MELODICA device uses stable atoms and embed a FEBIAD (Forced Electron Beam Induced Arc Discharge) source to ionize a large panel of elements. With this device, it will be possible to systematically extract several diffusion coefficients during the same experimental period, and to compare the relative release of different atoms out of materials currently used in the ISOL systems.
Nanostructure Development of Al-Fe Eutectic Alloy
Authors: Hu Anita , Liu Su Feng , Shen Wu Tian , Ying Lance , Hu Henry
Published: February 2025

The effects of cooling rates on the microstructure development of an Al-Fe eutectic alloy were studied. Two different cooling rates of 0.03 and 61.00 °C/s were applied to the solidifying alloys. To unfold the characteristics of phase changes and the microstructure evolution taking place during solidification, the recorded cooling curves based on temperature measurements were analyzed by thermal analyses, in which the first and second differences of the cooling curves were derived. The slow cooling resulted in the formation of only the eutectic Al phase and the eutectic Al-Fe phase in the microstructure identified by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). With the cooling rate increasing to 61.00 °C/s, the primary Al phase appeared, as the solidification became strongly non-equilibrium. A large quantity of the nanosized eutectic Al-Fe particles were detected. Overall, the microstructure refined substantially.
Improvement of Interference Fringes Analysis to Obtain Accurate Soret Coefficients
Authors: Horikoshi Haruki , Orikasa Isamu , Kataoka Minami , Inatomi Yuko , Suzuki Shinsuke
Published: February 2025

In this study, we proposed a moved-view analysis, a method for obtaining the Soret coefficient ST by analyzing the interference fringe change during field-of-view movement in the steady state. This analysis was designed to solve the problem that the sign of the concentration gradient could also be reversed if the plot of the concentration distribution was only slightly shifted owing to the narrow field of view. The data obtained from the experiment conducted to measure ST at the International Space Station were analyzed using moved-view analysis. For the moved-view analysis, the linearity of the concentration distribution induced by the Soret effect is larger than that for the method without field-of-view movement, and a more reliable ST can be obtained. The analysis error that sometimes occurred when the laser wavelength switched led to the underestimation of the phase change Δϕ, resulting in generating the data with low linearity. This unreliable data should be removed.
Geochemical Impacts on CO2 Storage Efficiency in Deep Aquifers: A Cameroon Gulf of Guinea Case Study
Authors: Mwenketishi Gregory , Benkreira Hadj , Soleimani Hassan , Rahmanian Nejat
Published: February 2025

Carbon dioxide (CO2) storage serves as a greenhouse gas mitigation strategy employed by numerous nations. This study aims to explore the feasibility of CO2 storage in the Rio del Rey Basin, Gulf of Guinea region. We employ a compositional flow model, which has been validated using data from a Subsurface interpretation project in Cameroon.This work is aimed at conducting compositional numerical simulations to investigate the impact of geochemistry on CO2 aquifer storage. A conceptual development CO2 storage study has been considered for a deep aquifer reservoir formation Miocene Rio del Rey Basin, Cameroon Gulf of Guinea. The reservoir formations in this basin are set to have very good petrophysical and geological properties for it to be considered as a storage system.The aquifer formation contains various amounts of minerals which in turn would alter the injection of CO2 as the chemical and geological properties of the storage system change. Some of the chemicals would alter the CO2 fluid and rock properties and consequently the reservoir injection and storage rates and quantities of injected and stored CO2 due to minerals precipitation and vaporization phenomena within the storage system. This presents a major concern as the impact of geochemistry on CO2 injection and storage is not well understood to date which means that the development and operational strategies and costs of such a project are not fully understood and present significant deployment risk and uncertainties.The simulation results show that aquifer geochemistry strongly affects CO2 brine water storage efficiency at different scales.
[New horizons in occupational medicine between advanced technology and translational research]
Authors: Alfonso Cristaudo, Rudy Foddis, Giovanna Spatari Guest Editors:
Published: February 2025

Not available.
[Accidents at work in micro and small business in the period 2013-2015 in the province of Rome]
Authors: La Torre Giuseppe , Petronzi Ferdinando , Bollini Giorgio , Mannocci Alice , Sernia Sabina
Published: February 2025

Background. Micro and small enterprises (MSE) have fewer than 10 and 50 employees, and an annual balance sheet total that does not exceed € 2million and 10 million, respectively. Aim. To assess injuries in the micro and small enterprises in the Province of Rome in the period 2013-2015.Methods. In this study MSEs of the Confederazione Nazionale dell'artigianato piccole e medie imprese (CNA) of Rome were randomly selected.Results. In 290 MSEs sampled, 7 workplace injuries occurred, 3 in the same enterprise (PVC window frames, one injury per year) and the others occurred in an orthopaedic laboratory, in a store for building construction, in a cleaning company and in a company plant. The injury rate was 5.93%o in three years (i.e., 1.97%o per year on average).Conclusions. Workplace injuries in MSEs in the Province of Rome is not relevant (almost 2% per year), if compared to the injury rates in the Lazio region and the national level.
[Proposal of a method for assessing burnout risk in teachers: the VA.RI.B.O (VAlutazione RIschio Burn-Out)]
Authors: Chirico Francesco , Taino Giuseppe , Magnavita Nicola , Giorgi Ines , Ferrari Giuseppe , Mongiovì Maria Carmela , Imbriani Marcello
Published: February 2025

Introduction. Burnout syndrome (BOS) can be defined as a chronic work strain characterized by three dimensions: emotional exhaustion, depersonalization (or cynicism), reduced professional effectiveness.BOS typically strikes the helping professions like the teachers. Objective. The aims of this study are: 1) clarify the concept of BOS, as currently configured in the international scientific literature; 2) analyze the psychosocial risk factors in teachers; 3) develop a methodology for the assessment and prevention of the risk of BOS in the teachers.Methods. The literature review followed some of the PRISMA guidelines criteria.Results and discussion. The results of the study highlight BOS as a risk factor specific and distinct from labor-related stress. A strategy called VA.RI.B.O is proposed (Burn-Out Recognition) for teachers.