bluuebunny/crossref_metadata_2025 huggingface dataset:
Babelfisch auf dem Acker
Authors: Vetter Bernhard
Published: February 2025

Frankfurt a.M. Maschinen verschiedener Hersteller können Daten oft nur über Umwege austauschen. FieldDataSync soll künftig als herstellerunabhängige Lösung dienen – und auch ohne Internet funktionieren.
Dieses Mal war’s etwas anders
Authors: Deininger Olaf
Published: February 2025

Von Olaf Deininger

Berlin. Weniger Politiker, viel Pflichtprogramm und eine Atmosphäre des Abwartens kennzeichneten den agrarpolitischen Teil der diesjährigen Grünen Woche. Das Motto der Messe: „Ernährung sichern – Natur schützen“.
Deep Transfer Learning for Breast Cancer Classification
Authors: Mbouobda J. K. Buwa , Djagba P.
Published: February 2025

According to GLOBOCAN 2020, there were 10.3 million cancer-related deaths and 19.3 million new cases of the disease worldwide. Female breast cancer represented 11.7% of all cases, or 2.26 million cases, globally [10, 31]. In Africa, year 2020, 85 787 women died from breast cancer out of 186598 new cases, 12.5% of world’s death by breast cancer [31]. In the same year, we diagnosed 2262419 new cases of breast cancer in the world [31]. Through the use of computer-aided procedures, the accuracy of diagnosis may be significantly boosted. One of the most efficient methods to detect breast cancer is a pathologist’s examination of histopathological pictures under a microscope [9, 12]. Since the invention of digital image scanners, picture identification has improved [3]. The practice of digital pathology has advanced significantly, in part because whole slide image (WSI) scanners enable quick and affordable diagnosis [8]. Breast cancer of the Invasive Ductal Carcinoma (IDC) kind comes from a dysfunction of milk duct’s cells of the breast and eventually spreads to the breast tissue nearby. It is an example of cancer type where early detection and accurate classification can significantly improve patient outcomes. The results for patients can be considerably improved by IDC early identification and precise categorization. On the basis of histopathological scans, IDCs have been accurately classified using machine learning approaches [1, 26].  Diagnosing pathological imaging is difficult and necessitates manual skills and a microscope. Due to the limitations of human cognition, this time-consuming approach frequently results in mistakes. One might anticipate time savings and decreased mistake rates with an automated system [26]. One of the main challenges in analyzing cancer images using deep learning algorithms is the limited availability of data [23, 29]. Deep learning algorithms require large amounts of data to train effectively, and the lack of data can lead to overfitting or underfitting of the model [23]. Many models have been created to detect malignant cells for quite some time, and deep learning models have been used in that regard.  [24].  But, one can ask that: can deep learning algorithms accurately predict the presence of cancer tumor in image data? In this paper, we are going to use Vision Transformers, VGG, and ResNets to classify images of breast cancer.
Corporate Board Diversity and Environmental Sustainability Reporting in Oil and Gas Firms in Nigeria
Authors: Tayo Akinleye Gideon , Opeyemi Agbetuyi Helen
Published: February 2025

This study investigates the relationship between board diversity and environmental sustainability reporting (ENVSR) in Nigerian oil and gas companies. Specifically, the study explores how board gender diversity (BGD), board size (BSZ), board nationality (BNAT), and board independence (BIND) influence companies’ commitment to environmental sustainability practices. Using data from 30 publicly listed oil and gas companies in Nigeria over a 20-year period spanning from 2004-2023, the study employs multiple regression analysis to examine the impact of these board characteristics on the extent of environmental sustainability reporting. The results show that board gender diversity (BGD) has a positive and significant effect on environmental sustainability reporting with a coefficient of 0.4211 (p < 0.05), board nationality (BNAT) has a strong positive influence with a coefficient of 0.5012 (p < 0.01), and board independence (BIND) also shows a significant positive relationship with a coefficient of 0.4612 (p < 0.05). Board size (BSZ), on the other hand, shows a positive but weaker relationship with a coefficient of 0.3512 (p < 0.05). Additionally, correlation and stationarity tests confirmed the robustness of the findings, with most variables demonstrating significant relationships at various levels. This research contributes to the literature by highlighting the importance of board composition in shaping corporate sustainability disclosures, offering insights for policymakers, corporate managers, and investors seeking to improve transparency and corporate governance. The study also recommends fostering board diversity and strengthening regulations to enhance the environmental sustainability practices of firms in the oil and gas sector.
Augustinus és a pócsi kegykép : Párhuzamok és különbségek a De civitate dei csodafejezete és a 18. századi osztrák csodatörténetek között
Authors: Földvári Katalin
Published: February 2025

Aurelius Augustinus hippói püspök (354–430) műveiben többször megjelenik a csodák leírása, De civitate Dei című munkájának 22. fejezetében szintén előtérbe kerülnek ezek a különös események. Az egyházfő húsz, Észak-Afrika különböző területeiről származó csodatörténetet gyűjtött itt egybe, amelyek – a bibliai történetekhez hasonlóan – azt a célt szolgálták, hogy az emberek higgyenek Krisztus feltámadásának csodájában. A történeteknek a templomban történő gyakori felolvasása Augustinus szerint azonban nem tette lehetővé a csodák megőrzését, így ő ezeknek a lejegyzését, írásban való rögzítését szorgalmazta.
Az Augustinus által előírt gyakorlati teendők a csodás események feljegyzésével kapcsolatban még a 17-18. században is felfedezhetők, a korszakban megnő a szentek közbenjárására történt rendkívüli eseteket összefoglaló ún. mirákulumos könyvek száma. Ekkor jelent meg az a két gyűjtemény is, amely az 1697-ben Bécsbe került eredeti pócsi kegykép előtt történt imameghallgatások beszámolóit foglalta össze: a Heylsamer Gnaden-Brunn (1703), valamint annak bővített kiadása, az Erneuert- und vermehrter Gnaden Brunn (1739). Jelen tanulmány arra fókuszál, hogy megmutassa, változtak-e a 18. századra a csodák leírásának Augustinus által kijelölt „szabályai,” és ha igen, hogyan.
Könyvtár a város szívében : A Gödöllői Városi Könyvtár és Információs Központ története 2002-től napjainkig
Authors: Tóth Diána Lujza
Published: February 2025

Munkámban a Gödöllői Városi Könyvtár és Információs Központ
2002 utáni történetét mutatom be. Az új korszak a könyvtár új épületének 2002-es átadásával kezdődött.
A gödöllői könyvtárosok az ezredforduló idején mertek és tudtak nagyot álmodni. Előrelátó, gondos tervezéssel olyan épületet és szolgáltatásokat álmodtak meg, amely a hagyományos és a legmodernebb könyvtári
igényeket is ki tudja elégíteni. Számos ötletük, újításuk mintaként szolgált és szolgál más könyvtárak számára is.
Bemutatom, hogyan változtak a belső terek, és hogyan lett az intézmény „több, mint könyvtár”. Megtudhatjuk, hogy az internet bevezetésétől kezdve hogyan jutottak el a mai modern digitális szolgáltatásokig,
és hogyan lett a kis könyvtárból mára Gödöllő egyik legfontosabb közösségi tere. Külön fejezetet szentelek a COVID idején végzett egyedülálló munkájuknak.
A gödöllői könyvtár számos díjat érdemelt ki az elmúlt évtizedekben,
pl. 1996-ban Az év könyvtára, 2014-ben és 2020-ban Minősített könyvtár címet nyerték el, de különféle minőségi és innovációs díjakat is. Kiemelném a COVID idején megalkotott programjukért elnyert gödöllői
Városmarketing Gyémántdíjat is.
Cyfrowa transformacja marketingu
Authors: Grabowska Anna
Published: February 2025

Dynamiczny rozwój rynkowy oraz technologiczny wpływa na wiele dziedzin życia. W ich wyniku wzrasta m.in. liczba marek, które konkurują między sobą o zdobycie uwagi klienta. Konsument XXI wieku pragnie z kolei, aby proces zakupowy nie miał jedynie charakteru materialnego, a jako interaktywny generował emocje, doświadczenia, zaś sam produkt był spersonalizowany. Odpowiedzią na te potrzeby stają się strategie sprzedażowe oparte na tzw. tworzeniu doświadczeń, wśród których można wymienić zyskujący na popularności storytelling (który coraz częściej rozwijany jest w przestrzeni internetowej). Z drugiej strony także dynamicznie rozwijające się systemy AI zmieniają podejście sprzedażowe. W wyniku tego coraz bardziej popularne w nowoczesnych strategiach marketingowych staje się połączenie storytellingu i tzw. wirtualnego influencer marketingu. Więcej firm decyduje się zatem na zaproszenie do współpracy tzw. wirtualnych ludzi, znanych jako „wirtualni influencerzy”, którzy kreowani są, aby jak najbardziej przypominać żywe osoby. Wirtualni influencerzy, wykorzystując pozory autentyczności, zaangażowanie społecznościowe i wzajemne zaufanie jako podstawowe walory, mają wyjątkowy potencjał do opowiadania angażujących, spójnych historii, co idealnie wpisuje się w technikę storytellingu. W obliczu rozwoju technologicznego następuje zatem rozbudowanie sposobów, poprzez które marki budują relacje z klientami i tworzą opowieści, promując swoje produkty.
Patrioci i katolicy kontra poplecznicy Billa Gatesa i Izraela
Authors: Kosman Marcin
Published: February 2025

W artykule przeanalizowano komentarze pod filmami Grzegorza Brauna, jednego z liderów prawicowej formacji Konfederacja Wolność i Niepodległość, które poruszały kwestię pandemii koronawirusa. W badaniu wykorzystano wiele metod językoznawstwa korpusowego, przyjmując perspektywę współczesnych badań nad dyskursem. Wykazano, że zwolennicy Grzegorza Brauna otwarcie kwestionowali pandemię koronawirusa, przedstawiając ją jako narzędzie w rękach szeroko pojętych grup wpływu. Do wrogów Polski zaliczono również Żydów i Izrael. Co więcej, przedstawiciele polskiego rządu zostali ukazani jako działający przeciwko polskiej racji stanu oraz wykonujący polecenia światowej elity. Jednocześnie komentujący deklarowali silne ugruntowanie w wierze katolickiej oraz poparcie działań Brauna. Studium wnosi wkład do badań nad dyskursem okołopandemicznym, koncentrując się na społeczności skupionej wokół wpływowego polityka.
W mediach o prawie: konceptualizacje dyskursu medialnego na temat prawa a zasada prawdy w etyce dziennikarskiej
Authors: Kusik Przemysław
Published: February 2025

Oczekiwania kierowane wobec dyskursu medialnego na temat zagadnień prawnych skłaniają do refleksji nad jego jakością, zwłaszcza z punktu widzenia etycznego wymogu prawdziwości przekazu medialnego. Problem ten znalazł zróżnicowane odzwierciedlenie w literaturze. Celem opracowania jest zatem zbadanie relacji między różnymi akademickimi konceptualizacjami medialnego dyskursu o prawie (jako pośrednictwa, zniekształcenia, przekładu i komunikowania politycznego) a zasadą prawdy, jak również doprecyzowanie sposobu rozumienia zasady prawdy w kontekście tego dyskursu. Przeprowadzona analiza wskazuje na istotne rozbieżności między rzeczywistością funkcjonowania mediów, przynajmniej w świetle jej przedstawienia w literaturze, a wymogami etycznymi. Choć wszystkich przeszkód w tym zakresie nie da się usunąć, możliwe jest sformułowanie przesłanek kształtowania tekstów dziennikarskich o prawie w taki sposób, aby przybliżyć je do realizacji zasady prawdy.
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN DIGITAL TERHADAP PENINGKATAN MINAT BELAJAR PADA ANAK DI RA AL MAHABBAH
Authors: Shaleha Kharida , Nisa Khairatun
Published: February 2025

Tujuan penelitian ini adalah untuk mengetahui bagaimana minat belajar anak usia dini di RA Al Mahabbah Batang Kuis dipengaruhi oleh penggunaan sumber belajar digital. Teknik asosiatif penelitian kuantitatif yang menghubungkan setidaknya dua variabel digunakan dalam penelitian ini. Penelitian ini dilakukan untuk mengetahui hubungan sebab akibat antara dua variabel, yaitu bagaimana keduanya saling mempengaruhi. Seluruh populasi remaja di RA Al Mahabbah Batang Kuis yang berjumlah 15 orang diambil sampelnya dengan menggunakan sampling jenuh. Kuesioner digunakan dalam proses pengumpulan data. Temuan penelitian menunjukkan bahwa minat belajar anak usia dini dipengaruhi oleh penggunaan sumber belajar digital. Nilai signifikansi yang kurang dari 0,05 menunjukkan adanya pengaruh yang cukup signifikan antara penggunaan media pembelajaran digital terhadap minat belajar anak, yang ditunjukkan dengan nilai thitung sebesar 7,400 dan signifikansi sebesar 0,000. Dampak positifnya menunjukkan minat belajar anak usia dini meningkat seiring dengan meningkatnya penggunaan sumber belajar digital.
How Criteria Weights Influence Performance in Evaluating Logistic Productivity: An Application in the Emerging Markets Logistics Index
Authors: Bulut Elif , Abacıoğlu Seda
Published: February 2025

Purpose: The differences between the criteria affecting the logistics performance of countries and their importance levels are meaningful in terms of policy development processes. It has been determined that the criteria are weighted equally in the emerging markets logistics index. For this reason, the study reweighted the criteria of the Emerging Markets Logistics Index and investigated the effects of weighting on the ranking. In this respect, the study aims to make the index more objective.
Methodology: In the study, Multi-Criteria Decision Making methods were utilized. Within this context, MEREC (Method Based on the Removal Effects of Criteria) was used to determine the criteria weights, while MABAC (Multi Attributive Border Approximation Area Comparison) and MAIRCA (Multi Attributive Ideal Real Comparative Analysis) methods were preferred to rank the alternatives.
Findings: In the study, it was concluded that the weighted values of the criteria are more consistent with the literature. Additionally, the new weights obtained have an effect on the ranking values of the countries.
Orginality: It is important that emerging markets provide an opportunity to develop infrastructure to increase logistics productivity and provide a platform for the implementation of new technologies in logistics operations. Furthermore, these markets enable the diversification and development of logistics services through the expanding consumer demand. This study differs from other studies in the literature because it preferred the Agility Emerging Markets Logistics Index (AEMLI) instead of the Logistic Performance Index (LPI) and used MEREC-based MABAC-MAIRCA methods.
Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML
Authors: Arslan Erhan
Published: February 2025

Purpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models.
Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operational strategies based on real-time data collected from warehouse activities.
Findings: A prototype implementation demonstrated significant improvements, including a 28.6% reduction in average picking time, a 20% improvement in inventory turnover, an increase in demand forecasting accuracy from 85% to 92%, and a reduction in labor costs by 15%.
Originality: This research uniquely applies Digital Twin technology to manual warehouse environments, showcasing its effectiveness in enhancing operational efficiency without the need for full automation.
Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data
Authors: Karakaya İrem
Published: February 2025

Purpose: This study aims to evaluate the performance of various machine learning and ensemble learning models in classifying delivery times using Amazon delivery data. Fast deliveries' role in providing a competitive advantage and boosting customer loyalty highlights the importance of this study.
Methodology: The research employs a dataset of 43,739 delivery records with 15 features. Data preprocessing steps include handling missing values, encoding categorical variables, calculating geospatial distances, and normalizing data. Advanced machine learning techniques (e.g., KNN, SVM, Logistic Regression) and ensemble methods (e.g., ExtraTrees, AdaBoost) were systematically compared based on accuracy, precision, recall, and F-score.
Findings: Ensemble learning models, particularly those using SVM, NB, and LDA as base models and ET as the meta model, achieved the highest accuracy (99.89%) and F-score (99.89%). These results underscore the potential of such models to optimize logistics operations, reduce delays, and enhance customer satisfaction.
Originality: This study demonstrates the effectiveness of machine and ensemble learning methods on complex logistics data, contributing to optimizing logistics efficiency and enhancing customer satisfaction. Additionally, the application of ensemble learning methods on complex and large-scale logistics data structures is unique in terms of its contribution to the literature. The proposed framework offers a scalable solution for real-time predictive modeling and logistics optimization.
Performance Evaluation of Turkish Ports: Integrated Fuzzy Entropy- Fuzzy MARCOS Analysis
Authors: Karadağ Albayrak Özlem
Published: February 2025

Purpose: The aim of this study is to propose the Fuzzy Entropy based Fuzzy MARCOS method to solve the Multi Criteria Decision Making (MCDM) problem, which involves analyzing the performance of Turkish ports according to quantitative evaluation criteria.
Methodology: The uncertainty of quantitative criteria is based on the different values they take at different time periods. To overcome this problem, in this study, the importance levels of the criteria were determined by the Fuzzy Entropy method. Then, 11 port alternatives with a share of over 1% in transportation in Turkish ports were ranked according to their performance using the Fuzzy Measurement of Alternatives and Ranking to Compromise Solution (MARCOS) method.
Findings: According to the analysis results, the most important evaluation criterion used in the performance evaluation of container ports, that is, the criterion with the highest weight, is the “port area” criterion. The port with the highest performance value among the ports is Kocaeli port. This method can provide a more accurate evaluation of the performance level of ports and its use in the planning and effective use of port investments.
Originality: This research fills the gap in the literature in three ways: (1) Evaluatee the application of triangular fuzzy numbers to the panel data, which will provide effective inferences about the performanse level of the selected ports, (2) Evaluated a weighting approach using Entropy method that takes into account the distances of triangular fuzzy numbers consisting of real numbers instead of linguistic expressions, (3) An Entropy-based MARCOS method is proposed for solving the Multi-Criteria Decision Making (MCDM) problem involving the performanse analysis of Turkish ports.
KEMAMPUAN MENULIS KARANGAN ARGUMENTASI MENGGUNAKAN MEDIA WALL CHART SISWA KELAS XI SMK NEGERI 1 PALOPO
Authors: Asriana
Published: February 2025

Penelitian ini bertujuan untuk mendeskripsikan kemampuan menulis karangan argumentasi menggunakan media wall chart siswa kelas XI SMK Negeri 1 Palopo. Desain penelitian yang digunakan yaitu deskriptif kuantitatif, populasi dari penelitian ini yaitu keseluruhan siswa kelas XI SMK Negeri 1 Palopo, dan sampel penelitian ini yaitu kelas XI administrasi 5 SMK Negeri 1 Palopo yang berjumlah 27 orang. Teknik pengumpulan data terdiri dari dua teknik, yang pertama adalah teknik observasi, yang kedua adalah teknik tes. Hasil dari penelitian ini adalah kemampuan siswa kelas XI SMK Negeri 1 Palopo dalam menulis karangan argumentasi belum mampu. Hal ini dilihat dari nilai rata-rata yang diperoleh secara umum, yaitu 60% yang apabila dikategorikan dari skala lima berada pada kategori cukup. Dilihat dari segi persentase, nilai 85-100 diperoleh 0 siswa. Nilai 75-84 diperoleh 9 siswa yang tergolong baik. Nilai 60-74 diperoleh 1 siswa yang tergolong cukup. Nilai 40-59 diperoleh 11 siswa yang tergolong kurang. Nilai 0-39 diperoleh 0 siswa yang tergolong gagal.
PENERAPAN MODEL PEMBELAJARAN CTL MENGGUNAKAN GAMES MEDIA KARTU UNTUK MENINGKATKAN MINAT BELAJAR BAHASA INDONESIA KELAS IV SDN 38 BORA KOTA PALOPO
Authors: Muh Al Agung Randa  , Marlina Bakri  , Sulaiman Sulaiman , Darmawati Darmawati
Published: February 2025

Penelitian ini membahas tentang peningkatan model pembelajaran CTL menggunakan games media kartu untuk meningkatkan minat belajar Bahasa Indonesia siswa kelas IV. Jenis penelitian yang digunakan adalah pre-eksperiment, dengan desain one group pre-test dan post-test design. Sampel dalam penelitian ini adalah seluruh siswa kelas IV yang berjumlah 22 siswa. Instrumen dalam penelitian ini berupa angket pre-test dan post-test. Berdasarkan penelitian melalui uji t dan uji koefisien determinasi menunjukkan bahwa adanya peningkatan dalam penelitian ini dengan ditunjukkan dengan hasil yang didapatkan setelah dilakukan penerapan model pembelajaran CTL menggunakan games media kartu, dibuktikan sebanyak 18 siswa atau 81,8% siswa masuk dalam klasifikasi respon sangat kuat, nilai rata-rata yang diperoleh 85,68. Adapun hasil penelitian sebelum penerapan model pembelajaran CTL menggunakan games media kartu, sebanyak 4 siswa atau 18,2% masuk dalam klasifikasi respon sangat kuat, nilai rata-rata diperoleh hanya 66,47.
When Systems Fall Short: Employee Perspectives on Knowledge Management and Enterprise Social Networks
Authors: JAMAL Ammar
Published: February 2025

This study examines the limitations and challenges of knowledge management systems (KMS) and enterprise social networking systems (ESNS) in a multinational professional services firm. While digital tools like MS Teams and SharePoint are critical for knowledge sharing and collaboration, their effectiveness varies significantly depending on employee group and career stage. To fill an important gap in the literature, this study illuminates how employees in different positions perceive and interact with these systems and demonstrates their impact – or lack thereof – on the distribution of knowledge within the organization. A structured online questionnaire was used to collect responses from 66 employees, combining Likert scales, multiple choice items and numerical ratings. Statistical analysis using IBM SPSS revealed correlations, mean differences, and trends in system usage and satisfaction. The results show that KMS and ESNS have deficits in critical areas: new employees have difficulty integrating knowledge effectively, while experienced employees are dissatisfied with the efficiency and functionality of the systems. In particular, MS Teams proved to be the most effective tool, while MS SharePoint was considered problematic. These findings suggest that targeted KMS improvements and tailored onboarding strategies are critical to closing knowledge gaps and improving collaboration between different organizational levels and regions.
The effect of organic nucleation on the indirect radiative forcing with a semi-explicit chemical mechanism for highly oxygenated organic molecules (HOMs)
Authors: Shao Xinyue , Wang Minghuai , Dong Xinyi , Liu Yaman , Arnold Stephen R. , Regayre Leighton A. , Jo Duseong S. , Shen Wenxiang , Wang Hao , Yue Man , Wang Jingyi , Zhang Wenxin , Carslaw Ken S.
Published: February 2025

Abstract. Highly oxygenated organic molecules (HOMs) can significantly contribute to new particle formation (NPF). HOMs-derived NPF in preindustrial (PI) environments provides the baseline for calculating radiative forcing, yet global model studies examining this are lacking. Here, we use a global climate model with a semi-explicit HOMs chemistry and the associated nucleation scheme to systematically quantify the effect of HOMs-derived NPF on CCN formation and effective radiative forcing due to aerosol–cloud interactions (ERFaci). The improved model shows better agreement with measured cloud condensation nuclei (CCN) numbers. Aerosols generated from organic NPF nearly double the globally averaged CCN burden in PI (39 %) compared to PD (18 %) experiments. This weakens the ERFaci by 0.4 W m-2, corresponding to a 16 % reduction, with most of this reduction occurring in tropical regions where pure organic nucleation rates shows larger value in PI atmosphere. Unlike the findings of Gordon et al. (2016), the reduction is mainly driven by a greater enhancement of the sub-20 nm growth rate (GR) in the PI atmosphere compared to PD instead of the ~1 nm nucleation rate (j1.7nm). The greater enhancement of GR is due to higher HOM concentrations in the PI atmosphere, while the greater j1.7nm in PD environment results from higher sulfuric acid concentrations, leading to higher heteromolecular nucleation rates involving sulfuric acid and organics. The reduction underscores the critical role of biogenic NPF in CCN formation, particularly in the PI climate when cloud droplet concentrations and albedo are more sensitive to aerosol changes.
Modeling wave-vegetation interactions: the impact of seagrass flexibility and seasonal variability
Authors: Shirinov Seimur , Federico Ivan , Bonamano Simone , Causio Salvatore , Biocca Nicolás , Piermattei Viviana , Piazzolla Daniele , Alessandri Jacopo , Mentaschi Lorenzo , Coppini Giovanni , Marcelli Marco , Pinardi Nadia
Published: February 2025

Abstract. This study delves into the intricate dynamics between wave activity and marine vegetation, focusing on Posidonia oceanica meadows in the Mediterranean Sea along the Civitavecchia coastal zone (north-eastern Tyrrhenian Sea, Italy). Traditional modeling approaches often oversimplify wave-vegetation interactions and overlook the necessity for robust in-situ observational systems, which can lead to inadequate representations of the dynamic environments where seagrasses thrive. The Digital Twin modelling framework presents a compelling solution, offering comprehensive insights that enhance decision-making for coastal management. We advance wave-vegetation modeling by integrating a refined seagrass representation that encompasses flexibility, seasonal growth dynamics, and phenotypic traits, all informed by site-specific measurements. Applying this model to the Civitavecchia coast demonstrated that integrating observed seasonal variability into the numerical model was crucial for obtaining realistic results. This revealed a mean monthly wave damping capacity variation of up to 10 %, intricately driven by seasonal growth dynamics. Spatial assessments unveiled wave height reductions ranging from 10 % to 40 %, with an average attenuation of 18 % across Sites of Community Importance and 24 % for seagrass traits over rocky substrate. These findings offer valuable insights into the role of seagrasses as nature-based solution, facilitating more effective coastal management strategies and guiding restoration efforts in vulnerable marine ecosystems.
Catastrophic beach erosion induced by littoral drift on nearby beach after Samcheok LNG's massive coastal reclamation project
Authors: Lim Changbin , Lim Tae Min , Lee Jung-Lyul
Published: February 2025

Abstract. Large-scale construction projects, such as port construction and reclamation endeavors, can alter inshore wave dynamics, leading to severe coastal erosion. In South Korea, recent large-scale reclamation projects have resulted in the catastrophic erosion of sand along nearby coastlines. This study focuses on Wolcheon Beach, where the complete sand loss occurred due to robust longshore sediment transport (LST) induced by a reclamation project for the construction of the nearby Samcheok liquefied natural gas (LNG) terminal in Gangwon Province. A shoreline change model was employed to simulate this phenomenon, and the results were validated using satellite imagery. The model accuracy was assessed by comparing the LST rate vectors indirectly estimated from the changes in the shoreline delineated in satellite images with those directly derived from the model. Furthermore, a response methodology was proposed using the parabolic bay shape equation, which can effectively mitigate coastal erosion by controlling LST by installing a small-scale groin group on the adjacent beach before commencing reclamation or port projects. These findings are anticipated to significantly contribute to averting catastrophic coastal erosion issues, such as those witnessed at Wolcheon Beach, before performing large-scale construction in coastal regions.
Indirect assimilation of radar reflectivity data with an adaptive hydrometer retrieval scheme for the short-term severe weather forecasts
Authors: Song Lixin , Shen Feifei , He Zhixin , Xu Dongmei , Shu Aiqing , Chen Jiajun
Published: February 2025

Abstract. Different hydrometeor retrieval schemes are explored based on the Weather Research and Forecasting (WRF) model in the indirect assimilation of radar reflectivity for two real cases occurred during June 2020 and August 2018. When retrieving hydrometeors from radar reflectivity, there are two commonly used hydrometeor classification methods: “temperature-based” and “background hydrometer-dependent” schemes. The hydrometeor proportions are usually empirically assigned in the “temperature-based” method within different background temperature intervals. Whereas, in the “background hydrometer-dependent” scheme, each type of the hydrometeor is derived based on the portions estimated from the background field for different radar reflectivity ranges. In this study, a blending scheme is designed to combine “temperature-based” and “background hydrometer-dependent” methods adaptively to avoid errors caused by fixed relationships and reduce uncertainties introduced by the background field itself. Three experiments, EXP_temp, EXP_bg, and EXP_temp-bg are conducted using the “temperature-based” method, “background hydrometer-dependent” scheme, and blending scheme, respectively. It is found that, the blending scheme facilitates the generation of accurate hydrometeor species which will enhance the effectiveness of radar data assimilation. EXP_temp-bg is capable of analyzing radar reflectivity structures more accurately compared to both EXP_temp and EXP_bg. Besides, due to the adaptive combination of “temperature-based” and “background hydrometer-dependent” schemes, the EXP_temp-bg experiment predict the radar reflectivity structures and precipitation intensity more accurately.
Pengaruh Kompetensi Flight Instructor Terhadap Siswa Penerbang: Studi Ex Post Facto
Authors: Muharomansyah Roby , Mubarok Ahmad , Rinaldi Ridho , M Fadillah Syauqi , Nurchaliza Nadila
Published: February 2025

Penelitian ini bertujuan untuk mengetahui pengaruh kompetensi instruktur penerbangan terhadap siswa. Penerbangan instruktur adalah guru teori dan praktek terbang. Memiliki sertifikat instruktur penerbangan dan telah selesai
pelatihan instruktur penerbangan dan lulus tes tertulis dan praktek terbang sebagai instruktur penerbangan. Ini penelitian menggunakan metode penelitian kuantitatif dengan jenis metode penelitian wawancara dan kuesioner kepada sepuluh instruktur penerbangan sebagai sampel dan dilakukan secara acak dari total tiga puluh penerbangan instruktur. Subjek dalam penelitian ini adalah instruktur penerbangan di Akademi Pilot Indonesia Banyuwangi Sekolah Penerbangan. Pengumpulan data menggunakan metode wawancara dan kuesioner yang diberikan kepada instruktur penerbangan dan siswa percontohan. Instruktur penerbangan merupakan salah satu profesi yang diminati oleh personel penerbangan. Dalam hal ini penelitian dilakukan terhadap instruktur penerbangan yang berlatar belakang pilot komersial kompetensi dan memiliki jam terbang kurang lebih 300 jam untuk instruktur penerbangan bagi siswa CPL, 500 jam untuk siswa PPL dan 1000 jam untuk mengajar siswa pra tunggal. Kemudian untuk siswa pra-solo penguji memiliki 1500 jam terbang. Dengan kompetensi tersebut, apakah layak menjadi instruktur pilot atau perlu ditambahkan untuk melebihi apa yang diperoleh siswa dalam hal tingkat peringkat siswa. Hasil penelitian menunjukkan bahwa terdapat tiga sub pembahasan utama yaitu kompetensi instruktur penerbangan, pengaruh kompetensi, kualitas dan pengembangan kompetensi. Setiap mata pelajaran memiliki perbedaan makna dalam kaitannya dengan pandangan kompetensi instruktur penerbangan. Arti kompetensi untuk mata pelajaran untuk memperoleh kualitas pembelajaran untuk menghasilkan peserta didik atau siswa yang lebih baik dan pengetahuan memberikan dan memahami berbagai wawasan terkait teori dan praktik terbang. Subjek juga ditemukan makna kompetensi sebagai ekses dari self-efficacy yang meningkatkan kepercayaan diri suatu penerbangan pengajar. Selain itu, subjek memiliki perubahan positif dalam karier dan kehidupannya.
Manfaat Laboratorium Bahasa Akademi Penerbang Indonesia Banyuwangi
Authors: Handhika Putra Rangga , Rusdiansyah Arief , Lestari Nur Wibowo Untung , Pamandu Rafif , Zhafira Aras Alfiani
Published: February 2025

Manfaat laboratorium bahasa Akademi Penerbang Indonesia Banyuwangi. Salah satu sumber belajar yang selalu di perlukan dalam setiap pembalajaran yang ada di Akademi Penerbangan Indonesia. Hakikat laboratorium bahasa pusat latihan pembelajaran bahasa inggris yang mempunyai peranan penting untuk menunjang kegiatan pembelajaran dalam upaya meningkatkan aktifitas belajar Taruna serta meningkatkan kualitas belajar di Akademi Penerbang Indonesia Banyuwangi, karena perlu kita ketahui bahasa inggris merupakan bahasa yang digunakan sehari-hari di dalam dunia penerbangan karna dunia penerbangan menggunakan bahasa internasional yaitu bahasa inggris. Tujuan dalam penelitian ini adalah untuk mengetahui pemanfaatan laboratorium bahasa di Akademi Penerbang Indonesia Banyuwangi khusunya pemanfaatan ruanagn laboratorium bahasa di luar jam yang sudah terjadwal. Pendekatan pendididkan dengan kualitatif jenis studi kasus dan subjek penelitian Akademi Penerbang Indndesia Banyuwangi. Informasi yang terlibat adalah kepala lab bahasa di lokasi penelitian. Hasil penelitian menunjukan laboratorium bahasa sebagai pusat sumber belajar bahasa inggris yang sangat bermanfaat untuk mendukung dalam pencapaian tujuan pembelajaran, menciptakan pembelajaran yang aktif, kretif dan menyenagkan melalui pemanfaatan beberapa sumber menuju pembelajaran yang berkualitas.
Effect of Work Knowledge on Competence of Cadets at Indonesian Aviation Academy Banyuwangi
Authors: Hariri Ahmad , Hari Cahyo Dimas , Rusdiansyah Arief , Fathafirza M. Akbar
Published: February 2025

Pembelajaran vokasi dihadapkan pada tantangan nyata dalam mengembangkan kapabilitas kompetensi kerja di dunia kerja baru abad XXI. Empat aspek utama yang menentukan kemampuan kompetensi kerja Century XXI. Yakni keterampilan kerja, pengetahuan kerja, sikap kerja, dan moral kerja. Penelitian ini bertujuan untuk mengetahui pengaruh pengetahuan kerja terhadap kompetensi taruna di Akademi Penerbangan Indonesia Banyuwangi. Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini adalah taruna Akademi Penerbangan Indonesia Banyuwangi sebanyak 98 orang. Teknik pengambilan sampel yang diambil adalah teknik sampling jenuh yaitu teknik pengambilan sampel, sehingga jumlah sampel yang diambil sebanyak 98 orang. Jenis data yang digunakan adalah kuantitatif, dan dalam penelitian ini data yang dibutuhkan adalah data primer. Pengumpulan data yang digunakan adalah kuesioner. Teknik analisis data yang digunakan adalah analisis SEM dengan AMOS. Hasil penelitian ini menunjukkan bahwa pengetahuan kerja berpengaruh signifikan dan positif terhadap kompetensi.
Pengaruh Stres Terhadap Taruna Penerbang Sayap Tetap Dalam Menghadapi Fase Pre-Solo Flight Di API Banyuwangi
Authors: ISLAM FAJAR , Danny Sulung Sabam , Lestari Nur Wibowo Untung , Sheila Nabila Yovita
Published: February 2025

Fase pre-solo flight merupakan tahap penting dimana taruna dilatih untuk mendapatkan izin terbang solo. Tetapi tidak semua taruna dapat menjalankan praktik terbang sesuai dengan yang diinginkannya. Stres diketahui merupakan salah satu penyebab yang mungkin mempengaruhi pembelajaran dan performa terbang taruna. Dalam penelitian ini, peneliti memutuskan untuk meneliti apakah benar stres merupakan hal yang mempengaruhi taruna saat menghadapi fase terbang pre-solo di Akademi Penerbang Indonesia Banyuwangi. Peneliti melakukan penelitian ini bertujuan untuk mengetahui penyebab dan juga cara meminimalisir stres yang dialami taruna selama fase pre-solo flight. Penelitian ini menggunakan desain penelitian deskriptif kualitatif yang menggunakan teknik pengumpulan data melalui observasi dan wawancara. Wawancara dilakukan kepada 17 orang taruna penerbang di Akademi Penerbang Indonesia Banyuwangi. Dari hasil wawancara yang diperoleh menunjukkan bahwa taruna penerbang sayap tetap sebagian besar mengalami stres dan berdampak kepada performa terbang pre-solo seperti menurunkan fokus, menurunkan tingkat kewaspadaan dan mempengaruhi cara taruna mengambil keputusan saat terbang. Oleh karena itu hal ini perlu untuk dipelajari dan dikelola dengan baik. Cara beberapa taruna untuk menghadapi stres yang dialaminya seperti dengan persiapan terbang yang lebih matang, beristirahat yang cukup dan juga beribadah. Hasil penelitian ini dapat memberikan pemahaman yang lebih baik tentang dampak stres pada taruna penerbang dan memberikan saran untuk mengembangkan pembelajaran yang lebih baik di Akademi Penerbang Indonesia Banyuwangi.
Generalized factor-type exponential estimators of population mean in sample surveys
Authors: Yadav Vinay Kumar , Prasad Shakti , Yadav Subhash Kumar
Published: February 2025

The present article deals with a generalized class of estimators for estimating the population mean in sample surveys, employing various combinations of auxiliary variables and considering some values of characterizing constant alpha ranging from -1 to +1. The proposed estimator may be consider as an efficient extension to the work of Singh and Shukla (Metron, 45(1-2): 273-283, 1987), Bahl and Tuteja (Journal of information and optimization sciences, 12(1), 159-164, 1991) and Kadilar (Journal of Modern Applied Statistical Methods: Vol. 15 : Iss. 2 , Article 15, 2016). The sampling properties of the suggested estimators have been derived up to the first degree of large sample approximations. The suggested estimators are shown to have smaller mean squared errors than the existing exponential estimators considered in this paper. The percent relative efficiencies with respect to the usual mean estimator are calculated. An improvement has been shown over the existing exponential estimators through theoretical conditions as well as by a numerical and simulation study based on COVID-19 death in India.
Some new efficient linear regression ratio type estimators for estimating the population mean in sampling theory
Authors: Yadav Vinay Kumar , Prasad Shakti
Published: February 2025

This article deals with some new efficient linear regression ratio type estimators for estimating the population mean in sampling theory by using the auxiliary information of quartile deviation and deciles. The proposed estimators can be considered an efficient extension to the work of Kadilar and Cingi (Applied Mathematics and Computaton, 151, 893-902, 2004 \ Hacettepe Journal of Mathematics and Statistics, 35 (1), 103-109, 2006) and the Subjar (World Applied Sciences Journal, 35 (3), 377-384, 2017). The theoretical results are derived, and a comparative study is conducted. The suggested estimators are shown to have smaller mean squared errors than the Kadilar and Cingi (2004 \ 2006) and Subzar (2017) estimators. The percent relative efficiencies of the suggested estimators for various sample sizes are involved in simulation studies for a given natural population data set, and the results are found to be quite encouraging, providing an improvement over all previous work.
Research on the Application of Digital Educational Technology on Modern Classroom Teaching
Authors:   School of Business Administration, Tourism College of Zhejiang, Hangzhou 311231, China., Zhang Jun
Published: February 2025

With the rapid development of information technology, the application of digital educational technology in daily teaching has become an important way to enhance teaching quality and efficiency.
Deep-Learning Based Depth-Tracking of Stacking-Faults in Epitaxially Grown Silicon Wafers
Authors: Trötschler Theresa , Al-Hajjawi Saed , Raghavendran Siddharth , Haunschild Jonas , Demant Matthias , Rein Stefan
Published: February 2025

Stacking faults in epitaxial silicon wafers are structural defects that can reduce the recombination lifetime of the final solar cells significantly. They are known to originate mostly at the interface between substrate and deposited layer, at contamination particles and atomic steps. This work presents a non-destructive and automated characterization method on full-size wafers to locate stacking faults and determine their layer of origin to identify process-based root causes. A deep learning model and a quantification via geometric defect properties is realized on dark field microscope images, with the potential to be transferred to inline images measured in dark field mode with high-resolution cameras. We achieve detection rates up to 92% for regular wafer surfaces. The depth analysis combines geometric properties of the stacking faults and measured wafer thickness and is applied on full-scale epitaxial wafers. Most stacking faults are confirmed to originate at the interface layer and their number is higher by 1-2 orders of magnitude when deposition occurs on a reorganized porous layer. However, our results also indicate that a non-negligible part of stacking faults has its origin within the epitaxial layer.
STUDY OF THE COLEOPTERA (CERAMBYCIDAE AND LUCANIDAE) FOUND IN THE UPPER BASIN OF DESNĂȚUI RIVER
Authors: NICULESCU Laurentiu , BODIC Daniel
Published: February 2025

The territory under study is located in the Desnătui basin, between the localities of Carpen and Voița. The area where the study was carried out is located in the western part of Dolj county and southeastern Mehedinți county, at a distance of 40 km from Craiova and 25 km from Vânju Mare. The researched area totals 200 km2, having the appearance of a rectangle from the Câmpia Oltenia relief unit and is individualized both by the presence of zonal and azonal soils, but also by the high temperatures and the low amount of precipitation recorded during the warm period of the year. This area has been of particular interest for research over time, due to the characteristics listed previously. The vegetation in the Desnățui basin is characteristic of the Oltenia Plain and Jiului Piedmont, with some particularities conferred by relief, altitude, climate, nature of rocks and soil. Following the researches, the following types of habitats were identified: 91E0* Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae), 92A0 Salix alba and Populus alba galleries, 91M0 Pannonian-Balkanic turkey oak-sessile oak forests. This area represents a real scientific interest, being an area not studied until now. Following research in the forest habitats of the Desnățui river basin, we have identified six species of the Coleoptera (Cerambycidae and Lucanidae). In the research area of ​​this forest the most common species are: Lucanus cervus (Linnaeus, 1758), Morimus funereus (Mulsant, 1863) and Cerambyx cerdo (Linnaeus 1758), Chlorophorus figuratus (Scopoli, 1763), Pachytodes erraticus (Dalman, 1817), Stenopterus rufus (Linnaeus, 1767), Stenurella bifasciata (O. F. Müller, 1776), Stictoleptura cordigera (Fussli, 1775), Plagyonotus arcuatus (Linnaeus, 1758).
Incorporación de la educación para la ciudadanía global en la enseñanza del inglés en educación media: posibilidades desde los docentes
Authors: Puerto Zabala Paola Yesenia , Rojas Muriel Paola Azucena
Published: February 2025

Este artículo reflexiona sobre la incorporación de la educación para la ciudadanía global (ECG) en la enseñanza del idioma inglés (ELT, por sus siglas en inglés) en educación media, conside­rando las percepciones de los docentes de inglés. Mediante una revisión de literatura especializada y del análisis de las percepciones y prácticas docentes se conceptualiza la ECG y la ELT y sus inter­relaciones y se proponen aspectos para su implementación efectiva. Se encuentra que ambos campos tienen potenciales sinergias por el carácter global del inglés; sin embargo, en la práctica, el enfoque sigue en contenidos gramaticales, no en temas significativos para los jóvenes, razón por la que se proponen aspectos para incorporar la ECG en la ELT. Se concluye que se requieren mayores esfuerzos para replantear programas de estudio, transformar prácticas educativas e investigar esta integración en contextos particulares, de modo que se aproveche mejor el potencial de la ciudadanía global para una educación integral del inglés en la educación media.
A Practice Report on CLIL in Japan: Focusing on Biomimicry at the National Institute of Technology
Authors: Shirai Tatsuma
Published: February 2025

This paper presents a soft-CLIL (content and language integrated learning) practice focused on biomimicry, conducted at Japan’s National Institute of Technology (NIT). Biomimicry involves solving problems and creating new things by drawing inspiration from animals, plants, and other living organisms to design and enhance human-made products and processes. Learning about biomimicry aligns with the educational objectives of NIT, which aims to cultivate individuals capable of contributing to realizing a more sustainable society through innovative technologies. With this goal in mind, I implemented a soft-CLIL class focused on biomimicry for second-grade students at NIT, aged 16-17. After studying exemplary cases of biomimicry, students delivered presen­tations on the topic. Some students attempted to apply the concept of biomimicry to propose concrete solutions for addressing social problems.
Effect of Dalmavital and Ovulik Plus on conception rate in Ovsynch synchronized Nili-Ravi buf- faloes
Authors: Khan Muhammad Tayyab , Niaz Muhammad Muzammal , Shabbir Khan Ghulam
Published: February 2025

Nili-Ravi buffalo are known as the “Black Gold of Pakistan”. It is the most prized dairy animal in Pakistan. Silent estrus and shy behavior are among the main causes of poor reproductive efficiency in buffalo, leading to prolonged calving intervals. Ovulik Plus® is a supplementary mixture for stimulating fertility. It provides energy, eliminates the deficiency of ß-carotene, as well as giving a rich source of vitamins and microelements to elevate reproductive efficiency. Dalmavital® is another product that contains ß-carotene and acts as an antioxidant source. Our objective was to compare the impact of these supplements in enhancing conception rates of Ovsynch synchronized Nili-Ravi buffaloes. For this purpose, buffaloes (n=45) with healthy reproductive tract, BCS (2.5-3.5), and mixed parity (2-3) were enrolled into three groups: G1: Ovsynch + Dalmavital (IM), G2: Ovsynch + Ovulik (PO) and G3: Ovsynch without supplementation as control. For the Ovsynch protocol, buffaloes were administered with 2ml (IM) injection of GnRH (Lecirelin acetate 25μg/ml) at day 0, followed by 2ml (IM) injection of PGF2α (D-cloprostenol 75μg/ml) at day 7. Finally, 2ml GnRH was injected (IM) at day 9. Dalmavital was injected (IM) at the rate of 1ml/40kg body weight at day 5 in G1, and Ovulik Plus was offered by drenching gun just after 1st AI as a single dose of 1000 g/ buffalo. Double inseminations were performed at standing estrus, morning and evening, at intervals of 12 and 24 h after the last GnRH injection. Pregnancies were confirmed through ultrasonography at day 40. Data were analyzed through the Chi-Square test and Binary Logistic Regression model using SPSS. Results revealed no difference (p>0.05) in estrus response among all groups. Conception rates were higher (p<0.05) in G2 compared to G3 (60% vs. 46.66%, respectively). However, there was  no difference (p >0.05) in conception rates of G1 and G2 (53.33% vs. 60%, respectively). In conclusion, Ovulik Plus per oral was superior to intramuscular administration of Dalmavital in improving conception rates of Ovsynch synchronized Nili-Ravi buffaloes.