bluuebunny/crossref_metadata_2025 huggingface dataset:
Uma casa em construção: a figura “casa” na poesia de Maria Teresa Horta durante o período salazarista em Portugal
Authors: Toivonen Juliana Sant Ana
Published: February 2025

Arquiteta de seu corpo poético, Maria Teresa Horta, em suas obras Minha Senhora de Mim (1971) e Mulheres de Abril (1977), constrói uma linguagem e uma estrutura poética de resgate e de reivindicação de liberdade. A partir disto, o presente artigo tem como objeto traçar a relação da figura da casa e o período da ditadura salazarista, seja pela reescrita de textos canônicos, subvertendo o espaço da mulher como escritora e expressando a repressão sofrida por seu gênero, ou pela intimidade representada em seus versos. Para buscar caminhos de compreensão desse objeto faremos uso da coletânea organizada por Jorge Fernandes de Silveira, Escrever a casa portuguesa (1999), que reflete sobre como a figuração da casa propõe uma representação textual da sociedade; da obra O Formato Mulher (2009) de Anna Klobucka, que aborda a autoria feminina na literatura portuguesa; e do ensaio da autora inglesa Virginia Woolf, Um Teto Todo Seu (1929), que trata das condições de escrita da mulher e a importância de um espaço próprio para o desenvolvimento intelectual.
Redefining Consumer Desires: A Qualitative Study on Marketing’s Role in Shaping Modern Wants through Conditional Psychology
Authors: Gabelaia Ioseb , Tracy Vivian
Published: February 2025

Understanding consumer stimuli is urgently needed to craft timely and evidence-based marketing strategies. The existing literature reveals a gap in consumer behavior studies, especially in applying psychology to consumer behavior. This enables the authors to explore the dual role of consumer behavior using a conditional psychology framework. A mixed method was used. The sample consisted of 131 marketing practitioners and 11 marketing executives. This insight revealed the role of conditional psychology, exploring conditional stimuli, its influence on marketing campaigns, and how it creates emotional and cognitive responses that redefine consumers’ final choices. The survey results were significant, and the interviews with executives revealed the power of persuasive marketing in shaping new consumption patterns aligned with various consumer lifestyles. The results underscored the transformative impact of marketing on consumer behavior, emphasizing the need for balanced strategies. This study significantly increases the understanding of marketing’s transformative impact on consumer behavior through the lens of conditional psychology.
Incidence and Risk Factors of Surgical Site Infections: Insights from Kakamega County General Hospital in Kenya
Authors: Kindiki Sarah , Mogoi Nyabera Nicholas , Kiprono Sabella
Published: February 2025

Surgical site infections (SSIs) are common complications associated with increased morbidity, hospital stay and mortality amongst patients’ post-surgery. This poses a huge economic burden and reduced quality of life in low and middle-income countries (LMICs). Data on incidence and risk factors for SSI following surgeries in Kenya is limited. Guided by the infection chain theory, this cross-sectional study investigated the incidence and risk factors associated with surgical site infections amongst the post-surgery patients in Kakamega County General Hospital (KCGH). Pus swabs were collected from infected surgical sites suspected of SSI from 128 patients attending Kakamega County General Hospital in the year 2023. Demographic data was also collected from patients who underwent a surgical procedure at KCTRH. Risk factors were identified from patient demography while wound swabs were subjected to microbiological techniques according to the Centres for Disease control guidelines for SSI surveillance. Associations between identified risk factors and the occurrence of SSIs were examined using Chi-square (categorical) and t-test (Continuous). A total of 128 patients underwent a surgical procedure during the study period. The incidence of SSI was 66% (n=84). Seven bacterial species were isolated namely, Pseudomonas aeruginosa (22%), gram negative rods (15%), Staphylococcus aureus (9%), Klebsiella species (9%), Escherichia coli (7%), Klebsiella oxytoca (2%) and gram-positive cocci (0.8%). Incidence of SSI was 66% (n=84). Diabetes was 32%, obesity 41% and smoking 17%, among the pre-operative factors but showed no association with SSIs (p > 0.05). There was a correlation between longer surgeries and fewer SSIs (mean duration 114 minutes) and pre-operative stays did not significantly contribute to SSI risk. SSIs remain a challenge in LMICs. From this study, it was concluded that there is a continued systemic and procedural element in the onset of SSIs and highlights the role of post-operative practices in the prevention of SSIs. There is need for targeted interventions in the care of surgical wounds to mitigate the burden of SSIs in the region.
O TRABALHO COMO PRINCÍPIO EDUCATIVO E A ORGANIZAÇÃO DA EDUCAÇÃO PROFISSIONAL E TECNOLÓGICA NO BRASIL: UMA REVISÃO DE PERSPECTIVAS
Authors: Lima Juscelino Gomes , Dias Liliane Pereira da Silva
Published: February 2025

O sistema educacional baseado direcionado pela filosofia de formação omnilateral da educação profissional e tecnológica no Brasil tem alcançando importância tamanha, uma vez que, as transformações no mundo do trabalho e fazer produtivo do séc. XXI, vem impondo conhecimentos e práticas que transcendam o velho esquema produção x reprodução do sistema capitalista passado. Nesse contexto, é objeto deste texto discutir, a partir de diferentes perspectivas teóricas, o trabalho enquanto principio educativo, destacando para isso, o papel da educação profissional e tecnológica no Brasil. Metodologicamente, é priorizado o uso de pesquisa bibliográfica, na qual cabe destaque de contribuição ao propositado, os pensamentos de   Prodanov e Freitas (2013), bem como, Batista e Müller (2020), Castro et al (2023), Saviani (2007), entre outros.  Com, isso, temos que, apesar dos avanços produtivos e tecnológicos, a partir da realidade brasileira, o sistema educacional ainda proporciona uma educação dualista, em que pese, seja pelo que fora planejado institucionalmente, seja pelos donos dos meios de produção, seja ainda, pelas dificuldades de acesso dos mais vulneráveis sociais ao ensino e oportunidade de trabalho.
The effectiveness of solar radiation management using fine sea spray across multiple climatic regions
Authors: Song Zhe , Yu Shaocai , Li Pengfei , Yao Ningning , Chen Lang , Sun Yuhai , Jiang Boqiong , Rosenfeld Daniel
Published: February 2025

Abstract. Marine cloud brightening (MCB) geoengineering aims to inject aerosols over oceans to brighten clouds and reflect more sunlight in order to offset the impacts of global warming or to achieve localized climate cooling. The relative contributions of direct and indirect effects in MCB implementations remain uncertain. Here, we quantify both effects by designing model simulations to simulate MCB for five open-ocean regions around the globe. Our results show that a uniform injection strategy that does not depend on wind speed captured the sensitive areas of the regions that produced the largest radiative perturbations during the implementation of MCB. When the injection amounts are low, the sea salt aerosol effect on shortwave radiation is dominated by the indirect effect via brightening clouds, showing obvious spatial heterogeneity. As the indirect effect of aerosols saturates with increasing injection rates, the direct effect increases linearly and exceeds the indirect effects, producing a consistent increase in the spatial distributions of top-of-atmosphere upward shortwave radiation. This study provides quantifiable radiation and cloud variability data for multiple regional MCB implementations and suggests that injection strategies can be optimized by adjusting injection amounts and selecting areas sensitive to injections.
Brief communication: Impact of mountain glaciers on regional hydroclimate
Authors: Bai Husile , Rupper Summer , Strong Courtenay
Published: February 2025

Abstract. The crucial role of glaciers as a water supply underscores the need to reliably simulate alpine climate change, including glacier-atmosphere interactions. The presence of a glacier can change precipitation by generating mountain-valley scale flows, but we show here that their impacts on the atmosphere are more profound and much larger in scale. In a validated regional climate model, modest changes to the size of glacier termini in the Karakoram altered the large-scale summer monsoonal circulation, producing precipitation anomalies of sufficient magnitude and scale to overwhelm valley-scale orographic effects. Notably, the robust synoptic-scale moisture flow response exerted a substantial influence on precipitation and overwhelmed the localized response of the orographic flows, highlighting the significant impact of glacier ice on the monsoonal circulation and, hence, precipitation. These changes in turn impact glacier mass balance over the Karakoram range, emphasizing the importance of proper specification of glaciated area for the study of hydroclimate monitoring.
Future intensification of compound and cascading drought and heatwave risks in Europe
Authors: Sutanto Samuel Jonson , Duku Confidence , Gülveren Merve , Dankers Rutger , Paparrizos Spyridon
Published: February 2025

Abstract. The risks of extreme weather events, such as droughts and heatwaves, are expected to rise across Europe due to global warming, leading to more severe and worsening impacts. These impacts become even more pronounced when compound and cascading (CnC) drought and heatwave hazards occur. Yet, most studies on drought and heatwave have focused on single hazard rather than their impacts. This study aims to identify the future characteristics of both single and compound drought and heatwave hazards across Europe. More specifically, we analyzed changes in the total number of events, average duration, total duration, and frequency. Droughts were identified using the Standardized Soil Moisture Index (SMI) and heatwaves were detected using the Variable Threshold Method (VTM). Both hazards were assessed using bias corrected simulations from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) models from 1953 to 2014 for historical period and from 2039 to 2100 for future climate scenarios under SSP1-2.6 and SSP5-8.5. Furthermore, we employ a machine learning (ML) approach to project the impacts of droughts and heatwaves, using Germany as a case study. The ML models were developed using hazard characteristics as predictors and drought and heatwave impact data as response variables. Results indicate that the number, duration, and frequency of both drought and heatwave events are projected to increase under SSP1-2.6, with even higher increase for SSP5-8.5, not only when analyzed independently but also as CnC hazards. This applies not only in the south but also across multiple other European regions. Drought hotspots were identified in the West Europe, with projections showing an expansion toward the South and East under SSP1-2.6, and across nearly all of Europe under SSP5-8.5 except for the northern regions. Heatwave hotspots were primarily located in eastern and southern Europe, particularly in Russia, Italy, and Portugal. Future scenarios suggest that southern Europe will remain a key hotspot for heatwaves. The occurrence of compound drought and heatwave events was projected to increase sixfold compared to the reference period, while cascading drought and heatwave events might rise by up to 3.5 times under SSP5-8.5. Additionally, results also reveal that drought impacts on economic, non-economic, and ecosystem are projected to double in Germany, while heatwave impacts on human health and mortality may increase ninefold by 2100. Our findings highlight the need to consider CnC hazards and show once more the urgency of climate mitigation in limiting impacts across multiple sectors.
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Authors: Chan Edward C. , Jäkel Ilona J. , Khan Basit , Schaap Martijn , Butler Timothy M. , Forkel Renate , Banzhaf Sabine
Published: February 2025

Abstract. This article presents an enhanced emission module for the PALM model system, which collects discrete emission sources from different emission sectors and assigns them dynamically to the prognostic equations for specific pollutant species as volumetric source terms. Bidirectional lookups between each source location and cell index are maintained by using a hash key approach, while allowing all emission source modules to be conceived, developed, and operated in a homogeneous and mutually independent manner. An additional generic emission mode has also been implemented to allow for the use of external emission data in simulation runs. Results from benchmark runs indicate a high level of performance and scalability. Subsequently, a module for modeling parametrized emissions from domestic heating is implemented under this framework, using the approach of building energy usage and temperature deficit as a generalized form of heating degree days. A model run has been executed under idealized conditions by solely considering dispersion of PM10 from domestic heating sources. The results demonstrate a strong overall dependence on the strength and clustering of individual sources, diurnal variation in domestic heat usage, and the temperature deficit between the ambient temperature and the user-defined target temperature. Vertical transport additionally contributes to a rapid attenuation of daytime PM10. Although urban topology plays a minor role on the pollutant concentrations at ground level, it has a relevant contribution to the vertical pollutant distribution.
Identifying lightning processes in ERA5 soundings with deep learning
Authors: Ehrensperger Gregor , Simon Thorsten , Mayr Georg J. , Hell Tobias
Published: February 2025

Abstract. Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as convective available potential energy (CAPE), wind shear, charge separation, or combinations thereof. Recent developments in the field of high-resolution reanalyses, accurate lightning observations, machine learning (ML), and explainable artificial intelligence (XAI) open possibilities for identifying tailored proxies without prior expert knowledge. This study utilizes a deep neural network trained to match temporally and vertically well-resolved ERA5 soundings of cloud physics, mass-field, and wind-field variables with lightning observations from the Austrian Lightning Information & Detection System (ALDIS). The ML model only receives the raw model atmosphere data as inputs, without incorporating any expert parameters or proxies derived from the model levels. Using and adapting appropriate XAI methods, it is then demonstrated how the inner workings of this well-performing deep learning model can be uncovered to identify physically meaningful patterns within the ERA5 soundings that describe lightning processes. The ERA5 parameters are taken on model levels beyond the tropopause, forming an input layer of approx. 670 features, and the lightning data are transformed to a binary target variable labeling the spatio-temporal ERA5 grid cells as cells with lightning activity and cells without lightning activity. Scaled Shapley additive explanations (SHAP) values are introduced to highlight the atmospheric processes learned by the neural network and show that the model identifies cloud ice and snow content in the upper troposphere and mid-troposphere as very relevant features. As these patterns correspond to the separation of charge in thunderstorm clouds, the deep learning model can serve as a physically meaningful description of lightning. The scaled SHAP values also reveal that, depending on the location, the model additionally learns to correctly classify cells with lightning activity by exploiting mass-field or wind-field variables. This approach also showcases how XAI can be used to accelerate knowledge discovery in areas where expert knowledge is still scarce.
CULTURAL AND ANTHROPOLOGICAL ANALYSIS OF MODERN ART OF KAZAKHSTAN
Authors:   Kazakh National Academy of Arts named after Temirbek Zhurgenоv, Almaty, Kazakhstan, Alimzhanova A.Sh. , Shaimerdenova M.D. ,   Kazakh National Academy of Arts named after Temirbek Zhurgenоv, Almaty, Kazakhstan
Published: February 2025

It is known that since the twentieth century there have been radical changes in Kazakh culture, including in the field of art. There are not many ethnical cultures that have undergone such a radical change in the system of aesthetic values in a century. Repeated changes in lifestyle (from nomadic to socialist collectivism and to a market society afterwards) were a great critique of the people's artistic understanding of the world, moreover, aesthetic values continued to be critically reconsidered.
The peculiarity of this study is that it pays special attention to the continuity of spiritual and cultural processes in art, kazakh aesthetics pays special attention to the axiological analysis of human relationships with the world, society and others in terms of the role and importance of sustainable values. The following methods are currently used in art: the comparative-functional method, the semiotic system-structural method, the methods of field ethnography, the method of interviewing. Another method that has recently become popular is the frame analysis method. This method helps to identify the most obvious features of the study of Art. Discursive analysis, which is developing on the horizon of science, is an interdisciplinary method that is associated with such sciences as linguistic aesthetics of the text, stylistics, semiotics, philosophy
DEVELOPMENT OF SPEECH CULTURE OF STUDENTS OF HIGHER EDUCATIONAL INSTITUTIONS
Authors:   L.N.Gumilyov Eurasian National University, Astana, Republic of Kazakhstan, Auganbayeva M.
Published: February 2025

The ability to communicate effectively is a crucial skill for university students. Speech culture, which encompasses the norms, practices, and standards of spoken communication, plays a vital role in academic success and professional development. In the context of university education, where students are often required to present ideas, participate in discussions, and engage in collaborative projects, the development of speech culture is essential. Despite its importance, many students struggle with aspects of speech culture, such as clarity, coherence, and confidence. This study aims to explore the factors that influence speech culture and identify effective strategies to enhance it within universities. The main objectives of this study are: to define and elaborate on the concept of speech culture within university contexts; to investigate the factors that influence the development of speech culture among university students; to analyze the current state of speech culture in universities; to identify challenges and barriers to effective speech culture development; to propose practical programs and strategies for enhancing speech culture among university students.
¿Cómo informan los periodistas cubanos desde sus perfiles de Facebook? Formación de agendas y roles periodísticos
Authors: Castillo-Salina Yánder , Muñiz-Zúñiga Viviana , Alfonso-Rodríguez Inés María
Published: February 2025

Desde la aparición de las redes sociales digitales, los medios masivos impulsan la presencia activa de sus periodistas en estas plataformas. Facebook es el social media más utilizado en Cuba, lo que ha permitido a los periodistas cubanos divulgar sus agendas y estar en contacto con la ciudadanía. Este artículo examina cómo los periodistas de Santiago de Cuba utilizan sus perfiles personales de Facebook con fines informativos y los roles periodísticos que asumen en esta plataforma. Los roles profesionales se analizaron considerando tres elementos: las prácticas comunicativas de los periodistas en sus perfiles personales, la relación entre la agenda temática de las publicaciones y la agenda personal de los periodistas, y las rutinas productivas que marcan el uso periodístico de los perfiles. Se empleó un diseño de investigación mixto concurrente que combinó análisis de contenido de las publicaciones y entrevistas semi estandarizadas a los periodistas. Los resultados muestran que la agenda de las publicaciones aborda temas recurrentes de los medios para los cuales los periodistas trabajan, mientras la agenda personal de estos profesionales se concentra en problemáticas con repercusión directa sobre su vida cotidiana. Se encontró que la mayoría de periodistas no responde ni reacciona en las publicaciones, y que solo un pequeño porcentaje de las interacciones corresponde a respuestas de los comentarios de los usuarios, principalmente en lo relacionado a la Cultura o el Deporte. POr su parte, las prácticas informativas y los roles que los periodistas asumen están condicionados por las políticas editoriales de los medios e interpretaciones de las regulaciones nacionales sobre la comunicación pública estatal. Ello traslada a la plataforma las tensiones del modelo de prensa cubano.
Development of Augmented Reality (AR) Based Learning Media to Improve Educational Outcomes for Elementary School Students
Authors: Nurachmadani Nadila , Sahudra Tengku Muhammad , Mulyahati Bunga
Published: February 2025

This research focuses on creating a learning media product that utilizes Augmented Reality (AR) for teaching IPAS, particularly aimed at fifth-grade students in Social Studies. The study was conducted to evaluate the validation from experts in media, subject matter, and student testing, as well as to assess the practicality and effectiveness of student learning outcomes after engaging with the AR-based learning media. Utilizing a Research and Development (R&D) methodology, this study follows the ADDIE model, which includes five phases: Analysis, Design, Development, Implementation, and Evaluation. Data collection techniques used include observation, interviews, documentation, and validation questionnaires for experts, as well as response questionnaires for teachers and students.The validation results from media experts showed a percentage of 97.14% with a "highly feasible" criterion, material experts obtained a percentage of 92.5% with a "highly feasible" criterion, and test experts achieved 100% with a "highly feasible" criterion. The practicality results from teacher and student response questionnaires indicated that teachers gave a response percentage of 100% with a "highly practical" criterion, while students' responses reached 93.34% with a "highly practical" criterion. Furthermore, student learning outcomes were measured using Normality Test (N-Gain), resulting in a score of 73.58% with an "effective" criterion. Based on the assessment results, it can be concluded that the AR-based learning media for IPAS learning in fifth grade is highly feasible for use in education. Future researchers are advised to conduct field trials, measure the effectiveness of teaching materials, and further develop AR-based learning media for various subjects in elementary schools.
Pemahaman Pendidikan Islam Moderat di Perguruan Tinggi Islam: Studi Terhadap Mahasiswa STAIN Mandailing Natal
Authors: Kahar Syadidul , Maas Zai Muhammad Idrisd
Published: February 2025

Penelitian ini mengungkan fenomena di STAIN Madina dalam menanamkan nilai-nilai Islam moderat. Perguruan tinggi merupakan wadah ilmiah yang mencakupi pendidikan, penelitian dan pengabdian masyarakat atau disebut tridarma perguruan tinggi untuk membekali mahasiswa berkontribusi di masyarakat. Maka dalam hal ini, keberadaan STAIN Mandailing Natal berada dalam keragaman tersebut. Untuk memproleh data terhadap permasalahan penelitian tersebut maka digunakan metode kualitatif dengan pendekatan fenomonologi. Maka upaya yang dilakukan peneliti bahwa menyajikan data dan hasil wawancara yang diperoleh di lapangan, kemudian peneliti melakukan analisis data. Berdasarkan analisis data dari hasil temuan penelitian maka ditemukan bahwa pertama konsep Islam Moderat di Sekolah Tinggi Agama Islam Negeri (STAIN) Mandailing Natal meliputi: 1) kekeluargaan artinya untuk mencapai tujuan yang baik harus bersama-sama, bekerjasama meskipun berbeda budaya. 2) kerukunan dan kedisiplinan. 3) keterbukaan yaitu menerima perubahan berdasarkan batasan dalam nilai-nilai Islam. Kedua Islam moderat pada dasarnya membangun modernisasi dalam pemikiran islam. Berkembangnya Islam keseluruh lapisan sosial masyarakat dan segala aspek lini sturuktural masyarakat telah menorehkan tinta sejarah bahwa ajaran Islam adalah ajaran rahmat li al alamin. Keberhasilan tersebut tidak terlepas dari penekanan Islam dalam menjaga menjaga keragaman, dalam aspek pemerintahan dikenal dengan Islam wasathan. Pemikiran yang terbuka dengan membuka pintu modernisasi sebagai bentuk perubahan sosial merupakan konsekuensi logis dari kondisi dunia yang semakin mengglobal.
DEPRESSION AND MENTAL HEALTH DISRUPTIONS IN MEDICAL STUDENTS
Authors: Zainalieva Bukatcha Zhanibekovna , Khan Waqas Ahmad
Published: February 2025

The experience of studying abroad primarily leaves students exposed to mental health challenges like depression, which exerts a detrimental effect on their academic performance & overall well-being. An important factor which contributes to this problem is the lack of familial assistance. The away from home feeling for students has further worsen these challenges, escalating stress, anxiety, and depression among medical students worldwide.This analysis compiles data from medical academies and faculties worldwide to evaluate the psychological impact of the various factors on medicos. Findings indicate that the how students and foreign have adverse affect on their mental health due to academic performances and due to ongoing demand and craze of medical education, leading to perceptible changes in emotions, behaviours, and mental well-being. Exaggerated levels of stress, depression, and anxiety have widely spread among medical students during their examinations and semesters and completion of their projects in given time periods.
Service Quality Models: A Literature Review
Authors: Seema Rani, Ramneet Kaur
Published: February 2025

Using a critical literature analysis to evaluate various service quality models, this paper aims to identify issues for future research.This research hasinvestigated various Service Quality Models based on literature review.It has examined the various dimensions of the different service quality models, compares similarities, determines their relevance and significancewithin different contexts, and identified the restrictions of the studies.The literature review of various papers on service quality models revealed that the outcome of service quality is determined by several factors, including the type of service setting, the situation, the time, and the need. Therefore, research on service quality measurement must be further developed for more accurate and meaningful metric. This research has explored the linkage between different service quality models. The paper has provided clear information about the consecutive development of various service quality measurement models.
A closer look at economic freedom in Puerto Rico
Authors:   Instituto de Libertad Economica (Institute for Economic Liberty), Carrión-Tavárez Ángel
Published: February 2025

This is Chapter 3 of Economic Freedom of North America 2023 (EFNA 2023). This chapter of the EFNA 2023 report provides information on the process of incorporating Puerto Rico into the all-government index and subnational index—including a description of the data and the results obtained. It also offers some brief notes about business permits and COVID-19 restrictions on the Island. Finally, we address how the lack of economic freedom is affecting Puerto Rico and propose possible courses of action and methods to further increase the accuracy and comparability of Puerto Rico’s scores and rankings in the next edition.
التشكيل الفني لشخصية مريم بنت عمران في القصص القرآني: دراسة في ضوء مفاهيم السرد
Authors: عبد الرحمن عفاف الحاج بابكر
Published: February 2025

تناولت هذه الدراسة شخصية السيدة مريم في القرآن الكريم من خلال دراسة علاقاتها بعناصر السرد في القصة القرآنية التي جاءت متفرقة على أكثر من صورة. وقد هدفت إلى تبيّن السمات الفنية التي ميّزت تشكيل شخصية السيدة مريم في الآيات القرآنية، بوصفها واحدة ممن اصطفاهم الله سبحانه وشرّفهم برعايته، فكانت بأخلاقها نموذجًا وقدوة لنساء العالمين. وقد اعتمدت الدراسة على مفاهيم السرد: الشخصية والوصف والحوار والمشهد، بالإضافة إلى عنصري الزمان والمكان؛ لتبيّن الملامح الفنية التي ميّزت القصة القرآنية الكريمة. وتتكوّن من مقدمة، وتمهيد، يتناول: الشخصية والقصة من منظور السرد في النقد الأدبي الحديث، ثم ثلاثة مباحث: الأول قصة السيدة مريم في القرآن الكريم: حدود القصة ومعالمها. الثاني العناصر الفنية في قصة السيدة مريم (الوصف، الحوار، المشهد، الزمان، المكان). الثالث السمات النفسية والمادية لشخصية السيدة مريم. ومن ثم توصلت الدراسة إلى عدد من النتائج، أبرزها ما تميّز به القصص القرآني من تركيز على تصوير القيمة الخلقية في الشخصية القرآنية، بالإضافة إلى تصوير الجو الدرامي بما يجعل الشخصية حية نابضة بالمشاعر والأحاسيس التي تعكس النفس الإنسانية في أحوالها المختلفة.
Pelatihan Pembuatan LKPD Berbasis Aplikasi Wordwall di SD Inpres Bontoala I Kabupaten Gowa
Authors: Mukhlis Mukhlis , Amal Amri , Aminah St.
Published: February 2025

Permasalahan yang dihadapi oleh guru SD Inpres Bontoala I yaitu masih banyak yang belum mengetahui cara membuat dan menyusun lembar kerja peserta didik dengan menggunakan pembelajaran interaktif yang berbasis website dan guru masih menggunakan lembar kerja cetak. Pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan pembuatan lembar kerja peserta didik berbasis wordwall kepada guru SD Inpres Bontoala I Kabupaten Gowa. Pelatihan ini dilaksanakan pada tanggal 31 Januari sampai 01 Februari 2025 dan diikuti oleh 13 guru di sekolah tersebut. Kegiatan ini diawali dengan memaparkan manfaat lembar kerja peserta didik dengan aplikasi wordwall bagi pengguna. Kemudian dilanjutkan hari kedua dengan praktek menyusun dan membuat lembar kerja peserta didik menggunakan aplikasi wordwall.  Pengabdian masyarakat ini difokuskan untuk memberikan pengetahuan cara membuat lembar kerja peserta didik melalui aplikasi wordwall. Metode yang digunakan adalah partisipasi aktif, berorientasi kegiatan, program, dan mandiri. Hasil pengabdian menunjukkan tercapainya indikator keberhasilan yang ditetapkan yaitu guru memahami berbagai manfaat dan template yang ada diwordwall dan semua guru dapat membuat lembar kerja peserta didik dengan memanfaatkan template diwordwall. Oleh karena itu. Pengabdian kepada masyarakat ini telah mencapai indikator keberhasilan yang diterapkan dan tujuan untuk membuat guru disekolah tersebut mampu menggunakan dan membuat lembar kerja peserta didik berbasis aplikasi wordwall telah tercapai.
INOVASI SABUN MANDI BERBASIS RUMPUT LAUT: SYSTEMATIC REVIEW
Authors: Satria H, Emilinda P, Ananda Resty NP
Published: February 2025

Indonesia merupakan negara produsen rumput laut terbesar kedua di dunia dengan volume produksi rata-rata 9,6 juta ton. Mengingat potensi yang besar, sangat disayangkan jika hanya dijadikan sebagai olahan pangan. Jurnal ini menjelaskan potensi dan manfaat pada rumput laut. Tujuan dari review ini yaitu menjelaskan produk inovasi sabun berbahan ekstraksi rumput laut melalui penelitian yang sudah dilakukan. Pembuatan sabun berbahan ekstraksi rumput laut dibuat menggunakan metode maserasi, penyabunan, dan kristalisasi. Sabun alami ini mengandung berbagai manfaat yang baik bagi kulit dan meminimalkan penggunaan sabun kimia.
Occurrence of an Old World Begomovirus Complex Infecting Radish in South of Nepal
Authors: Shahid Muhammad Shafiq
Published: February 2025

Radish (Raphanus sativus) leaf curl disease (RLCD) characterized by yellowing, color breaking, and mosaic symptoms were observed in a garden at Chitwan, Southern Nepal. Polymerase chain reaction using Taq DNA polymerase followed by rolling circle amplification using φ29 polymerase identified an Old World begomovirus complex linked with the RLCD. Pairwise sequence identity with SDT (Sequence Demarcation Tool) analysis coupled with phylogenetic analysis confirmed an Ageratum yellow vein virus (AYVV) and Tomato leaf curl Java betasatellite (ToLCJaB) was responsible to cause RLCD. This study provided initial evidence that radish plants were naturally infected with AYVV and ToLCuJaB in southern Nepal.
Analysis of The Effect of Working Capital Management on Profitability In Manufacturing Companies In Indonesia
Authors: Ahmad Putri , Ningsih Angelya , Sitorus Natalia , Sucipto Tia
Published: February 2025

This study aims to analyze the effect of working capital management on profitability in manufacturing companies in Indonesia. The method employed is a literature review by examining five related scientific journals. The findings indicate that efficient working capital management, particularly through the management of the Cash Conversion Cycle (CCC), has a positive impact on company profitability. Components such as receivables, inventory, and payables management play a crucial role in enhancing operational efficiency and liquidity, ultimately leading to improved profitability. Optimal working capital management enables companies to maximize Return on Assets (ROA) as an indicator of financial performance efficiency. These findings provide insights for companies to improve working capital management to achieve financial stability and sustainability.
experience of nurses worked at the COVID-19 unit in intermediate Hospital Oshakati, Oshana Region, Namibia
Authors: David Lydia K. , Iita Hermine , Namidi Matheus
Published: February 2025

The Coronavirus Disease (COVID-19) is the world’s most significant public health emergency. Nurses, essential members of the COVID-19 patient care team, are facing the majority of the problems brought on by the disease. To enhance the quality of care provided to COVID-19 patients, this study explored the experience of nurses who worked at the COVID-19 unit in Intermediate Hospital Oshakati, Oshana Region, Namibia. The study employed an exploratory and descriptive research design with a qualitative approach to the population of thirty-five nurses who worked at the COVID-19 unit in Intermediate Hospital Oshakati during the COVID-19 pandemic. Purposive sampling was used to select eight participants for data saturation. A semi-structured interview was used for data collection, and a tape recorder was utilized to capture the data. Thematic analysis was used for data analysis using the six steps proposed by Creswell (2014). Findings were presented in themes and subthemes for better comprehension. Ethical considerations were observed, such as approval, the principle of justice, confidentiality, privacy, beneficence, and non-maleficence.
“Some Rooms Make You Whisper”: The Art of Isolation and the Racial Politics of Quiet in a Concert Hall Built for Jazz
Authors: Wetmore Tom
Published: February 2025

This article ethnographically analyzes the unique acoustic properties of Rose Theater, a lavish 1,300-seat concert hall at Jazz at Lincoln Center in New York City. Focusing on the hall's remarkable quietness and acoustic isolation, I show how the sonic environment furthers Jazz at Lincoln Center's aesthetic and ideological projects. By dramatically cutting off the sounds of jazz from the exterior world, thus excluding unwanted “noise,” Rose Theater's acoustic design sonically refutes longstanding racist ideologies associating jazz with a noisy material essence. This analysis prompts new ways of interrogating how sound, space, and the built environment are entangled with difference and power.
Dugotrajnost kaznenog postupka kao okolnost pri odmjeravanju kazne u službi zaštite prava na suđenje u razumnom roku
Authors: Pilić Maja
Published: February 2025

Autorica se u radu bavi pitanjem dugotrajnosti kaznenog postupka i pristupa mu iz dva kuta. Jedan se odnosi na relevantnost trajanja kaznenog postupka kao okolnosti važne pri odmjeravanju kaznenopravne sankcije počinitelju u domaćem pravu. Drugi je važnost tog pitanja za ostvarivanje konvencijskog prava na pošteno suđenje, koje uključuje pravo na suđenje u razumnom roku. Razlog je to što, bez obzira na presumpciju nevinosti, samo vođenje kaznenog postupka protiv određene osobe predstavlja zadiranje u njezina osobna prava, pravo na slobodu, pravo na rad i sl. Stoga se ovim radom nastojalo uvidom u sudsku praksu odgovoriti na pitanje uvažava li se dugotrajnost kaznenog postupka kao olakotna ili otegotna okolnost pri odmjeravanju kaznenopravne sankcije te hoće li se raditi o povredi konvencijskog prava na suđenje u razumnom roku ako je nacionalni sud pravilno vrednovao okolnost dugog trajanja kaznenog postupka pri odmjeravanju sankcije. Iako je neharmonizirana, sudska praksa potvrdno odgovara na to pitanje. Neujednačenost judikature glede uzimanja u obzir dugog trajanja kaznenog postupka kao okolnosti važne za odmjeravanje kazne može biti i rezultat recentnog normativnog okvira glede okolnosti važnih za odmjeravanje kazne iz čl. 47. KZ-a. Stoga bi kao o prijedlogu de lege ferenda trebalo razmisliti o potrebi intervencije u odredbu čl. 47. KZ-a te uvrstiti dugo trajanje kaznenog postupka među nabrojene okolnosti koje se osobito odmjeravaju pri izboru vrste i mjere kazne, ili pak na nedvojben način propisati da se uz one „osobite“ okolnosti uzimaju u obzir „i druge okolnosti relevantne za pojedini kazneni predmet“. Uzimanje u obzir dugotrajnosti kaznenog postupka kao okolnosti važne za odmjeravanje kazne u konačnici znači da se u domaćem pravu, neovisno o sredstvima za zaštitu prava na suđenje u razumnom roku, kao „dodatno“ sredstvo uzima i okolnost trajanja kaznenih postupaka pri odmjeravanju kazne počinitelju. Navedeno je „sredstvo“ u službi zaštite konvencijskog prava na suđenje u razumnom roku te se u konačnici i reflektira na izbor vrste i mjere kazne. Preciznije, ukoliko nacionalni sudovi poštuju pravila o pravilnom odmjeravanju kazne, što podrazumijeva uzimanje u obzir dugotrajnosti kaznenog postupka kao okolnosti važne za odmjeravanje kazne, tada se neće raditi o povredi prava na suđenje u razumnom roku iz čl. 6. EKLJP-a.
Signal Processing Methods in MIMO Communication Systems
Authors: Zhang Donghui
Published: February 2025

This paper delves into the latest advancements and hurdles in Multi-Input Multi-Output (MIMO) technology, particularly in the realm of 5G and future networks. Initially, it examines the fusion of Non-Orthogonal Multiple Access (NOMA) with MIMO, emphasizing its crucial role in user grouping, beam steering, and power distribution strategies. Subsequently, the research explores progress in massive MIMO systems, concentrating on signal processing methods that improve spectral efficiency and system performance in sparse scattering contexts. The paper also reviews sophisticated signal processing approaches for millimeter-wave (mmWave) MIMO systems, with a particular focus on techniques like compressed sensing, which tackle the challenges associated with high-frequency bands and extensive antenna arrays. Furthermore, it investigates MIMO signal processing within Mode-Division Multiplexing (MDM) systems, suggesting an adaptive frequency-domain equalization combined with chromatic dispersion compensation to enhance performance. The discussion extends to Extremely Large-Scale MIMO (XL-MIMO) technology for 6G networks, highlighting the significance of deep learning in signal processing tasks. In conclusion, the paper summarizes the benefits of MIMO-Orthogonal Frequency Division Multiplexing (OFDM) systems, emphasizing their pivotal role in shaping the future landscape of wireless communications.
Advantages of Machine Learning in Image Recognition and Detection
Authors: Deng Qiwei
Published: February 2025

Now that artificial intelligence is widely used, machine learning, as an emerging branch of computer science, has shown great potential, especially in the field of image recognition and detection. Therefore, this paper hopes to explore and summarize the advantages and disadvantages of machine learning in this field, to provide constructive guidance for relevant practitioners. This paper examines papers in many related fields and summarizes how convolutional neural networks and deep learning technologies have revolutionized image processing applications from medical imaging to autonomous vehicles. Key benefits include automation that can identify complex patterns with high accuracy, reduce human error and speed up analysis, and adaptability to ever-changing data. It also addresses major challenges facing machine learning today, such as data quality and quantity issues, the "black box" nature of deep learning models, and privacy concerns. To sum up, although machine learning has many advantages, it also has many problems brought by the nature of its own algorithm that need to be solved. Finally, by studying the advantages and limitations of machine learning, this paper hopes to provide a reference for researchers in this field.
Modeling and control of shipboard power systems with inverter air conditioners for frequency regulation
Authors: Yu Liu
Published: February 2025

Because of the characteristics of sustainable development of renewable energy resources (RESs), the large-scale RESs are integrated into the smart grid. Nevertheless, frequency can easily fluctuate beyond the acceptable limit on account of the intermittent of RESs. In this paper, the regulation method called demand response (DR) is applying by adjusting the controllable load resources of demand side. As one of the essential loads, massive inverter air conditioners (IACs) can change their state in a short time and have little influence on user experience. Thus, it is adopted to provide frequency support in frequency regulation of shipboard microgrid (SMG) in this work. However, this also preventively introduces multiple time delays on the other hand, which result in oscillation and instability of the SMG with high probability. To handle this issue, the stability of the SMG with the participation of IACs is analysed and the delay-dependent stability criteria are further derived by employing appreciate Lyapunov-Krasovskii functional candidate, some delay-dependent techniques and linear matrix inequality method when considering single time delay and multiple time delays respectively. Then, the effect of frequency control and the comparison results of influence cause by time delay are demonstrate in different scenarios, which validates of the validity and superiority proposed method.
Prediction of GDP in Time Series Data Based on Exponential Smoothing Model and Neural Network Model
Authors: Jin Chengxian
Published: February 2025

Gross Domestic Product (GDP) is the main indicator for measuring the economic size of a country or region, which represents the market value of all final goods and services over a certain period of time. This article compares the performance of exponential smoothing(ES) model and neural network(NN) model in GDP forecasting. The ES model is a classic time series forecasting method widely used in economic data analysis due to its simplicity and ease of use. This study uses single index smoothing and double index smoothing methods to predict GDP, with a focus on analyzing its performance in short-term economic forecasting. To compensate for this deficiency, this study introduced a neural network model to leverage its powerful nonlinear modeling ability and long-term memory capability for time series data. It demonstrates significant advantages in GDP forecasting, better adapting to the complexity of economic data and providing more accurate predictive support for economic decision-making.
Investigating the Impact of Parameter Variations of Transformer Models on Sentiment Classification
Authors: Chen Peng
Published: February 2025

With the development of the Internet, an increasing number of applications and websites appearing on the Internet allow movie viewers to add comments for movies. If people want to know what per cent of comments are positive or negative, it will cost a large amount human resources and time to check each comment. However, with the help of the transformer model, it will save a large number of human resources and time to finish sentiment classification for long movie comments. The dataset ‘IMDb’ used to train the transformer model is a large Movie Review Dataset for binary sentiment classification of movie reviews. Furthermore, since sentiment classification for movie comments does not require the decoder in the transformer model to predict the next token, the transformer model only need to preserve the part of Positional Encoding, Encoder and Multi-head self-attention mechanism. This paper will investigate how three parameters (the number of layers in encoder, the amount of heads in multi-head self-attention, expansion factor in position-wise fully connected feed-forward network) affect the performance of the transformer model and which set of parameters could allow the transformer to have the best performance. After researching on three parameters, the transformer model used to do sentiment classification for movie comments has the best performance when there are sixteen heads in multi-head self-attention mechanism, four layers in Encoder, and expansion factor in feed-forward network which is position-wise fully connected is four.
Isole nella Laguna. Per un'analisi urbana delle sale cinematografiche di Venezia nel secondo dopoguerra
Authors: Villa Paolo
Published: February 2025

Closely associated with cinema since its beginnings, Venice represents a case of great interest regard- ing film exhibition history. Its historical, geographical, and demographic peculiarities have shaped the distribution of cinemas and the moviegoing practices. This contribution investigates the history of Venetian movie theatres in the central decades of the 20th century, putting them in relation to the urban and social developments of the city, divided in three main macrozones (historic centre, main- land and lagoon). Other factors such as population movements, industrial and tourist developments, the presence of the annual film festival are also examined, as they have influenced the relationship of the city and its inhabitants with movie theatres and with the practice of moviegoing. From this analysis, Venice emerges as a polycentric metropolis, characterized by dynamics of film exhibition and consumption that differ from area to area.
"Il magnifico sforzo". Modernizzazione, ingegnerizzazione e disciplinarmente infrastrutturale dei cinema italiani degli anni Cinquanta
Authors: Venturini Simone
Published: February 2025

The contribution deals with the professional knowledge and material cultures that contributed to innovating the infrastructure of Italian cinemas in the early 1950s and the discursive and regulatory driving forces of the modernisation of movie theatres. On the basis of several sources, those aspects are investigated by focusing on the case study of MESAC (later SAM), a technical service company ac- tive since 1946 in the design and renovation of cinema-theatres and based on an engineering culture connected with several industrial and manufacturing districts.