bluuebunny/crossref_metadata_2025 huggingface dataset:
Toplu Beslenme Yerlerinde Optimal Menü Planlaması: Matematiksel Model Yaklaşımı
Authors: Altın Gökhan , Şimşek Ahmet Bahadır
Published: June 2024

Bu çalışma, toplu beslenme ortamlarında (örneğin, eğitim kurumları ve sağlık tesisleri) menü planlamasını iyileştirmeyi amaçlayan bir matematiksel model geliştirmeyi hedeflemektedir. Çalışma, bir yükseköğretim kurumunun öğrencileri ve personeli için öğle yemeği menülerini ele almaktadır. Geliştirilen model, maliyet odaklı, beğeni odaklı veya bu iki faktörü dengeleyen politikalara uygun menüler oluşturabilme yeteneği sunar. Ayrıca, menü çeşitliliğini artırmak ve mevsimsel kısıtlamaları dikkate almak için hafıza özelliklerini içerir. Bu çalışmanın katkıları, çok sayıda kuruma uyarlanabilen bir model sunma, menü planlama literatürüne yeni kısıtlar ekleyerek teorik bilgiyi pratik uygulamaya dönüştürme, maliyet ve lezzet odaklı politikaları bir araya getirebilen bir matematiksel model sunma, ve öznel değerlendirmenin objektif bir şekilde yapılabileceği bir araç sunma yönündedir. Bu çalışma toplu beslenme alanında karar vericilere yardımcı olacak bir menü planlama modeli sunarak daha sağlıklı ve dengeli beslenmeyi teşvik etmeyi ve toplum sağlığını iyileştirmeyi amaçlamaktadır.
Stance Detection on Short Turkish Text: A Case Study of Russia-Ukraine War
Authors: Fırat Eray , Arslan Serdar
Published: June 2024

In recent years, social media has emerged as a crucial source of information for gauging public sentiment on a variety of topics. As a result, the need for automated data extraction from these platforms has grown. Stance detection, a subtask in natural language processing, plays a pivotal role in this process by automatically determining users' opinions regarding specific subjects, events, or individuals. To address this, we developed a labeled Turkish dataset focused on determining users' stances on the Russia-Ukraine War using social media content. The dataset, comprising 8215 tweets from Twitter, was meticulously cleaned and annotated for two key targets: Russia and Ukraine. We evaluated several machine learning methods, including Support Vector Machines, Random Forest, k-Nearest Neighbor, XGBoost, Long-Short Term Memory (LSTM), and Gated Recurrent Unit (GRU), with word embeddings from GloVe and FastText. Additionally, we incorporated a transformer-based approach for stance detection. Given the dataset's imbalance between targets, we applied undersampling and oversampling techniques alongside these algorithms. Our experiment results indicate that BERT-based models outperformed all other methods, with LSTM and GRU producing similarly strong outcomes. The newly established Turkish corpus stands as a valuable resource in this field, with potential for future use in conjunction with transformer-based approaches. In summary, this study advances the field of stance detection research in the context of Turkish text.
The Use of Unmanned Aerial Vehicles in the 3D Documentation of Historical and Cultural Heritage: The Case of Ceyhan Kurtkulağı Caravanserai
Authors: Arslan Enis , Şekertekin Aliihsan
Published: June 2024

Detailed documentation of historical and cultural heritage is a necessity for further analysis, interpretation, and physical reconstruction. Usage of The Unmanned Aerial Vehicles (UAVs) in this role have been increasing day by day. As a result of its important contributions to the production of three-dimensional (3D) terrain models, it has reached an important point in the discipline of surveying engineering. Especially in 3D modeling and documentation of historical and cultural heritage, UAVs are advantageous tools in terms of time and cost when compared to the classical methods. The aim of this study is to generate a 3D model of the Kurtkulağı Caravanserai, located in the Kurtkulağı town of Ceyhan District of Adana, using UAV (DJI Phantom 4 RTK) and to reveal the importance of UAV in the documentation of this historical structure. In this context, according to a planned flight on the UAV, following the capture of the images of the caravanserai in a multiview aspect, a metric 3D model was produced using photogrammetric methods. Root Mean Square Errors (RMSEs) in X, Y, Z coordinates were calculated based on the Ground Control Points (GCPs) and corresponding model coordinates. The RMSEs for X, Y, Z coordinates were calculated 0.019m, 0.025m, and 0.033m, respectively.
"Ich denk' - ich tu' - WIR lösen was!". Problem-Based Learning in Hochschullernwerkstätten
Authors: Müller-Naendrup Barbara
Published: June 2024

Der Beitrag thematisiert auf der Strukturebene die mögliche Passung von lehramtsbezogenen Qualifikationsprozessen in modularisierten Studiengängen mit dem konzeptionellen Anspruch von Lernwerkstätten. Dabei wird v.a. das konstruktive Spannungsverhältnis zwischen Instruktion und freiem Tätigsein in Lernwerkstätten in Blick genommen. Eine vielversprechende konzeptionelle ‚Brücke‘ zwischen diesen beiden Polen ist in diesem Zusammenhang der Ansatz des ‚Problem-Based Learning‘ (PBL). Diese „pädagogische Strategie“ (Reich 2003, 1) wird sowohl international als auch national vielfach angewandt, um Probleme universitärer Instruktionsdidaktik zu überwinden. Ziel des PBL ist eine aktive Auseinandersetzung mit sogenannten Problemen aus Theorie und Praxis, die zur selbsttätigen und kooperativen Entwicklung von Handlungskompetenzen beitragen. In dem Beitrag werden die Übereinstimmungen mit dem konzeptionellen Selbstverständnis von Lernwerkstätten aufgegriffen und gekennzeichnet, um das Potential dieser Schnittmengen für die Weiterentwicklungsmöglichkeiten einer Hochschullernwerkstatt hinsichtlich einer innovativen Lehrerinnen- und Lehrerbildung zu diskutieren. (DIPF/Orig.)
Lernwerkstatt(arbeit) zwischen pädagogischem Anspruch und strukturellen Rahmenbedingungen
Authors: Schmude Corinna , Wedekind Hartmut
Published: June 2024

Der Beitrag diskutiert, ob sich aus dem pädagogischen Anspruch von Lernwerkstatt(arbeit) an Hochschulen und den strukturellen Rahmenbedingungen in der Hochschule Spannungsfelder ergeben. Bezüglich des möglichen Spannungsfeldes von pädagogischem Anspruch der Lernwerkstattarbeit und der Bewertung von in diesem Rahmen erbrachten Studienleistungen wird die Frage diskutiert, ob die Vergabe von Noten und die per se mit Lernwerkstatt(arbeit) verbundene Idee, dass Lehrende zu Lernenden und Lernende zu Lehrenden werden, in der Hochschule gelebt werden kann. Die Ausführungen basieren auf Beschreibungen der curricularen Verankerung der Lernwerkstattarbeit im Studiengang Erziehung und Bildung im Kindesalter an der Alice-Salomon-Hochschule Berlin und den Erfahrungen im Umgang mit in diesem Rahmen entwickelten kompetenzorientierten Leistungsbeurteilungen. Möglichkeiten der strukturellen Verankerung der Lernwerkstattarbeit an Hochschulen werden herausgearbeitet, die Grenzen der Benotung curricular geforderter Leistungsbeurteilungen im Kontext von Lernwerkstattarbeit in Anlehnung an die von Ingenkamp (1971) formulierte „Fragwürdigkeit der Zensurengebung“ diskutiert und dokumentiert, wie sich diese Position im reformierten Studienkonzept des Studiengangs widerspiegelt. (DIPF/Orig.)
Partizipation und Kompetenzorientierung - ein Widerspruch? Überlegungen zum Lehr-Lern-Labor Diagnose und Individuelle Förderung am Beispiel des Seminarformats 'Fragen einer diversitätssensiblen Schul- und Unterrichtsentwicklung'
Authors: Rott David
Published: June 2024

Diversität ist ein schulpädagogisches Schlagwort, wenngleich die theoretische und empirische Fundierung als unzureichend zu kennzeichnen sind. Im Rahmen der Qualitätsoffensive Lehrerbildung ist an der Universität Münster ein Angebot im Lehr-Lern-Labor Diagnose und Individuelle Förderung entstanden, in dem sich Lehramtsstudierende mit Fragen einer diversitätssensiblen Schul- und Unterrichtsentwicklung auseinandersetzen. Themenbezogen wird an und mit zwei Gymnasien (zusammen)gearbeitet. Zentraler Zugang für die Studierenden sind Beobachtungen in (außer)unterrichtlichen Settings. Ausgehend von den Beobachtungen werden im Seminar Fragen an das Material gestellt. Das Seminar im Rahmen des im Lehr-Lern- Labor Diagnose und Individuelle Förderung ist so konzipiert, dass der materialbezogene Austausch in Klein- und Großgruppen die analytische Blickweise auf Schule und Unterricht schärfen soll. Durch die Verbindung mit schulischen Entwicklungsfragen wird erwartet, dass sich eine hohe Relevanz für die Studierenden ergibt. Aufzuzeigen sind die Merkmale dieser offenen Seminarform, wobei die Partizipationsmöglichkeiten und die Kompetenzorientierung als zentrale Leitlinien herauszuarbeiten sind. (DIPF/Orig.)
The Role of Literacy in Heritage Language Acquisition
Authors: Grose-Hodge Magdalena
Published: June 2024

The paper focuses on the role of literacy in Heritage Language Acquisition (HLA). Heritage bilinguals, who acquire their heritage language in the hoe environment, are usually schooled in the language of the local majority. Studies show that literacy development through schooling plays a crucial role in later language development for monolingual children. Therefore exposure to formal registers and written language is likely to facilitate language acquisition. The review discusses studies that demonstrate the positive effects of literacy on areas like vocabulary, morphosyntax, and overall linguistic skills in heritage speakers, and suggests literacy may be a key factor in heritage language development.
A Priori Quantitative Assessment of Occupational Carcinogenic Risks
for Underground Copper–Nickel Miners in the Russian Arctic
Authors: Fadeev Aleksey G. , Goryaev Dmitry V. , Zaitseva Nina V. , Shur Pavel Z. , Fokin Vladimir A.
Published: June 2024

Introduction: Workplace air carcinogens have the potency to induce malignant tumors not only of the lungs but also of other organs, which creates problems in establishing a causal relationship between job and disease.
Objective: To assess occupational carcinogenic risks posed by chemicals found in the workplace air of underground copper-nickel miners in the Arctic Zone of the Russian Federation.
Materials and methods: A priori quantitative occupational carcinogenic risk assessment for drill operators, loading and hauling machine operators, timbermen, and stope miners was conducted using mean concentrations of chemicals calculated from the range of laboratory results of workplace air quality testing according to R 2.2.3969–23, Guidelines for occupational risk assessment for workers’ health: Organizational and methodological aspects, principles and criteria. Quantitative occupational carcinogenic risk levels were categorized based on the criteria presented in Chapter 6 of the Guidelines.
Results and discussion: Unacceptable total carcinogenic risk levels (> 1×10–3) were found at workplaces of timbermen and drill operators. Priority substances contributing the most to the total carcinogenic risk for workers of these occupations are chromium and nickel. It should be noted that there are uncertainties in risk assessment related to the use of cancer potency factors established for the general population. The uncertainty in exposure assessment is associated with inability to consider the efficiency of the use of personal protective equipment.
Conclusion: Unacceptable risk levels at workplaces of timbermen and drill operators were estimated during a priori quantitative occupational carcinogenic risk assessment. They necessitate the development of risk mitigation measures and a set of preventive medicine activities for the period of reducing the risk to acceptable levels.
Funkcjonowanie społeczno-emocjonalne dzieci z grupy ryzyka dysleksji a działania profilaktyczne przedszkola i szkoły
Authors: Kucharczyk Izabella , Wójcik Magdalena
Published: June 2024

Niniejszy artykuł jest próbą przedstawienia znaczenia funkcjonowania dzieci z grupy ryzyka specyficznych trudności w uczeniu się w obszarze społeczno-emocjonalnym i podejmowanych działań w przedszkolach/szkołach o charakterze działań profilaktycznych. W pierwszej części artykułu omówiono trudności w obszarze społeczno-emocjonalnym, z jakimi dziecko z grupy ryzyka specyficznych trudności w uczeniu się może się borykać już na poziomie przedszkola lub młodszych klas szkolnych, tj. z niskim poziomem kompetencji społecznych, zachowaniami internalizacyjnymi, mniejszymi umiejętnościami adaptacyjnymi, wycofaniem. Następnie omówiono zadania i rolę przedszkola i szkoły w podnoszeniu kompetencji kluczowych w zakresie sfery społeczno-emocjonalnej dzieci oraz możliwości wspierania prawidłowego rozwoju w tym obszarze dzieci w wieku przedszkolnym i wczesnym szkolnym ze szczególnym uwzględnieniem dzieci z grupy ryzyka dysleksji. Jest to o tyle ważne, gdyż w szkołach interwencje podnoszące kompetencje społeczno-emocjonalne podejmowane są sporadycznie, a działania kadry pedagogiczne koncentrują się głównie na wyposażeniu dzieci w podstawową wiedzę niezbędną do nauczenia się czytania i pisania. Brak odpowiedniego treningu kompetencji emocjonalno-społecznych powoduje i pogłębia trudności i zaburzenia w reakcjach w różnych sytuacjach społecznych, stąd konieczność uwzględniania odpowiednich oddziaływań w procesie edukacyjno-wychowawczym.
“Who I am at work” - sources and determinants of childcare workers professional work.
Authors: Heland-Kurzak Krystyna
Published: June 2024

This article examines the ways in which childcare workers position their background in their work practice (sources) and explore how they perceive their work as childcare workers (determinants). This exploratory study focuses on the experiences and perceptions of childcare workers. 20 individual interviews were organized with qualified childcare workers. Transcriptions were analysed using thematic analysis to explore perceptions of sources and determinants of strategies, which is described in the context of U. Bronfenbrenner's ecological model. The model reveals that the childcare worker's professional role forms the basis for their self-perceptions, with the mesosystem emphasizing the crucial influence of beliefs and behaviors from other childcare workers, directors, parents, and children on the shaping of their professional identity, while the exosystem, macrosystem, and chronosystem collectively contribute to the dynamic and time-dependent construction of this identity within the broader societal and cultural context (Bronfenbrenner, 1979).The professional experience of childcare workers is analyzed in light of the needs for strengthening professional practice, advocating for the implementation of policies that ensure better professional status. The determinants influencing strategies in their work were identified as mental costs, attitudes toward the profession, successes and failures, and the atmosphere in the facility, emphasizing the importance of managerial support and the need for clearer tools to address challenges within the childcare profession.
Pengembangan Produk Nutrasetika Bahan Alam di Kelompok Wanita Tani Cemara Banjarbaru
Authors: Astuti Karunita Ika , Noviadi Aditya , Wahyudin Wahyudin , Hidayatullah Muhammad
Published: June 2024

Purpose: Kelompok Wanita Tani (KWT) Cemara is a program that develops agricultural products from Landasan Ulin Tengah in the Liang Anggang District, Banjarbaru. Product feels have not been a massive number of simply processed snack products. The nutritional snack product has the potential to be developed considering that human and natural factors are very abundant but have not been empowered and organized. The introduction of nutraceutical theory and the potential from Landasan Ulin Tengah Village likely moringa leaves and swamp sepat fish. Furthermore, activities include training on the manufacture of nutraceuticals and marketing products.Research methodology: KWT Cemara as partners participated in UPT BPP Liang Anggang enthusiastically according to the schedule. The target of the activity of KWT Cemara follows very well and can be understood with the material.Results): The participants were very enthusiastic and reluctant to ask questions if they did not understand the demonstration of the materials.Limitations: Can assistance in marketing products that can be made by the public and provide education for PIRT or halal certificates for nutraceutical products.Contribution : This activity be useful for the products that can be developed by KWT Cemara
Peningkatan Kemampuan Literasi Siswa SMAN 1 Mulak Ulu Kabupaten Lahat
Authors: Santati Parama , Zunaidah Zunaidah , Putri Melisa Ariani , Eogenie Eogenie , Akagani Apriyan , Sintia Sintia
Published: June 2024

Purpose: To improve reading and writing skills to increase the critical thinking ability of students at SMAN 1 Mulak Ulu, Lahat Regency.
Methodology/approach: This training was conducted at SMAN 1 Mulak Ulu, with a total of 25 students participating. The methods used were lectures, class discussions, field observations in the school area, and writing a short observation report. Reading activities were carried out independently by giving books to the students. Evaluation is carried out by assessing observation reports and collecting participants' responses regarding the training via Google Forms.
Results/Findings: The participants were very enthusiastic about actively asking and answering the instructor's questions. Interactive activities were carried out in the form of field observations, reading books, writing a short observation report, and  a summary of the book reading. Evaluation of the observation reports showed that 64% of the participants had good writing skills. On average, participants had good knowledge of linguistic rules, but their ability to summarize reading still needs to be improved. Most participants stated that this program made a very good contribution to improving their skills and knowledge of writing scientific papers and reading. Thus, this kind of training needs to be continued to improve students' critical thinking abilities.
Limitations: The number of participants was relatively small and only in one school. Training is still limited to literacy, so it needs to be developed for other skills
Contribution: This training is very useful for students to improve their literacy skills.
Joint Prescriptive Maintenance and Production Planning and Control Process Simulation for Extrusion System
Authors: Wesendrup Kevin , Hellingrath Bernd
Published: June 2024

Production planning and control (PPC) is the mainstay of every manufacturer and ensures flawless production processes. However, PPC is jeopardized by breakdowns that can only be tackled with appropriate maintenance. In the past, static strategies, such as reactive and scheduled maintenance, have been used. Yet, with growing system complexity, Industry 4.0, and abundant sensor data, dynamic strategies through PHM have emerged. The most advanced maintenance strategy is prescriptive maintenance (PxM), which allows manufacturers not only to predict failures but also to establish condition-based production plans and controls. To this end, our study explores the integration of PxM with PPC. First, we propose a fault prediction model based on health indicators and future loads of a single-machine system. The proposed fault prediction is integrated into a joint PxM and PPC simulation model that compares the make­span of three joint PxM and PPC strategies inter se and versus reactive and scheduled maintenance. A simulation study using industrial data from an extrusion process evaluates the different strategies across different time horizons (one month to a year). The findings indicate that joint PxM and PPC outperform other strategies, providing significant time savings over traditional methods. Further, a sensitivity analysis is conducted to assess the robustness of the PxM strategies under varying levels of measurement noise, revealing potential challenges under high noise conditions. The study contributes to the field of PHM by providing insights into the effectiveness of joint PxM and PPC strategies and offering a comprehensive analysis of their performance under different conditions.
Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
Authors: Ward Tyler , Jenab Kouroush , Ortega-Moody Jorge , Staub Selva
Published: June 2024

While most industrial maintenance strategies are centered on optimizing machine runtime and cost reduction, the condition-based maintenance (CBM) strategy distinguishes itself from others in its use of real-time operational data from machines to help engineers make informed decisions. The introduction of machine learning (ML) into a CBM strategy can increase its effectiveness, enabling more accurate predictions and making the decision-making process more efficient. In this review paper, we seek to provide a comprehensive overview of the role ML plays in modern CBM systems, beginning by outlining the core concepts and historical development of CBM and briefly introducing various ML techniques being employed in industry today. We then review numerous real-world cases where ML-based CBM systems have been implemented and discuss some of the technological, human, and ethical challenges faced by organizations seeking to integrate sophisticated ML models into existing CBM systems. We end by highlighting some of the current limitations of ML-based CBM systems, paving the way for a discussion on emerging trends and future research directions in this area.
Comparison among Machine Learning Models Applied in Lithiumion Battery Internal Short Circuit Detection
Authors: Zhang ZiHong , Arrinda Mikel , Perez Jon
Published: June 2024

The world is experimenting a decarbonization process, mainly through lithium-ion-based solutions. Nonetheless, catastrophic events have negatively affected the social acceptance of lithium-ion-based solutions. One of the most interesting projects regarding catastrophic event prevention is the internal short-circuit detection. This paper proposes to detect it using different machine-learning algorithms such as random forest and combination of random forest with neural network-based algorithms through time-instant classification and historical feature classification. The hyper-parameters have been optimized through grid-search. The selected algorithms have been trained thanks to synthetically generated data using a first-order electrical equivalent circuit model. The performance of the generated models has been verified and compared thanks to testing and validation data sets taken from the synthetically generated data. Afterward, the most accurate internal short circuit detection algorithm was selected and validated through laboratory-level data. The selected cell in this study is SLPB526495HE, a pouch cell of 3.7Ah. The generated data are time series of voltage and current, which are the variables that will be available in a real application. The results demonstrate an accuracy above 90% in detecting an internal short circuit in the most interesting cases. The validation with laboratory data has shown that an accuracy of 90% can be achieved. This paper provides learned lessons on the process of developing the internal short circuit detection machine-learning model, highlighting the potential they possess to detect accurately internal short circuits.
Mastering Training Data Generation for AI - Integrating High- Fidelity Component Models with Standard Flight Simulator Software
Authors: Löhr Andreas , Haines Conor
Published: June 2024

The German state-funded aviation research project “Real- time Analytics and Prognostic Health Management” (RTAPHM) envisioned fully automated urban air services executed by autonomous drones and infrastructure controlled by a digital system. Research was focused on utilizing onboard real-time diagnostics to enable AI-driven UAV capability predictions. These predictions increased the reliability of upfront service commitments. The use case selected to demonstrate these elements was organ transport. The project delivered an end-to-end demonstrator incorporating a virtual fleet of drones with onboard diagnostics to provide data for the platform decision logic.
The project followed a „digital-twin-first” approach to overcome a common bootstrapping problem faced by data- driven applications. That is, the lack of in-service data for exploration, prototyping and training of diagnostic and prognostic approaches during the concept and early development phases. Due to the upfront development of physical high-fidelity simulation models for the monitored components, a digital twin – of the portion of the twin that resembles the physical behavior – was used to generate data and facilitate preliminary exploration, prototyping and training. Digital twins were further employed to allow evaluation of what-if scenarios and identify the optimal future operation parameters of a drone.
Development of the RTAPHM digital twin involved a multi- disciplinary team of members distributed across different organizations and locations. Successful realization of the digital twin depended on early integration testing, performed in high frequencies, which generated continuous feedback regarding technical and conceptual issues. Within the research project we developed MOLE, an engineering tool for automating the integration of distinct simulation components, into a single system simulation driven by commercially available flight simulator software. Here, we showcase the internal mechanisms of the tool and demonstrate its abilities to generate a Docker-based executable for efficient data generation in the cloud. We also show our approach to online visualization, fault insertion, batch integration testing and debugging the digital twin executable. We also report on the utilization of MOLE in assembling the final RTAPHM demonstrator
A data-driven risk assessment approach for electronic boards used in oil well drilling operations
Authors: Dumitru Delia-Elena , Kang Jinlong , Olid-Gonzalez Alejandro , Mosallam Ahmed
Published: June 2024

To assist subject matter experts in investigating electronic failures of drilling tools, an innovative risk assessment approach for oil well drilling operations is developed that relies on synthetic time-series data to emulate environmental factors encountered downhole, explicitly focusing on temperature, shock, and vibration. The approach involves utilizing load cycle counting to extract meaningful features from each environmental channel measured by the drilling tool. The results from experiments with features related to dwell periods (dwell time and dwell damage) and load cycles (cycle means and cycle ranges) show a significant correlation between load cycle features and the risk label. Subsequently, a tree-based machine learning model is trained to label drilling operations based on synthetic data. Several models have been trained initially with comparable results. However, the advantage of using a tree-based model, specifically extra trees, is explainability and the stochastic aspect, which translates into model robustness when applied to real data. Preliminary results from a case study indicate that this new approach is highly effective in categorizing environmental risks associated with drilling operations. This risk assessment method can significantly enhance the decision-making process in investigating electronic board failures by offering reliable decision support.
Residual Selection for Observer-Based Fault Detection and Isolation in a Multi-Engine Propulsion Cluster
Authors: Murata Renato , Marzat Julien , Piet-Lahanier Hélène , Boujnah Sandra , Belleoud Pierre
Published: June 2024

For complex systems, the number of residual candidates generated by Structural Analysis could be in the order of tens of thousands, and implementing all candidates is infeasible. This paper addresses the residual generator candidate selection problem from a state-observer perspective. First, the most suitable candidates to derive state-observers are selected based on two criteria related to the state-space form and a low number of equations. Then, a novel algorithm finds the minimal subset of residual generator candidates capable of detecting and isolating all faults. A procedure is introduced to compare the fault sensitivity of the selected candidates. This residual selection method is applied to the multi-engine propulsion cluster of a reusable launcher to illustrate its benefits.
Landing Gear Health Assessment: Synergising Flight Data Analysis with Theoretical Prognostics in a Hybrid Assessment Approach
Authors: El Mir Haroun , King Stephen , Skote Martin , Alam Mushfiqul , Place Simon
Published: June 2024

This study addresses a critical shortfall in aircraft landing gear (LG) maintenance: the challenge of detecting degradation that necessitates intervention between scheduled maintenance intervals, particularly in the absence of hard landings. To address this issue, we introduce a Performance Degradation Metric (PDM) utilising Flight Data Recorder (FDR) output during the touchdown and initial roll phases of landing. This metric correlates time-series accelerometer data from a Saab 340B aircraft’s onboard sensors with non-linear response dynamic models that predict expected LG travel and reaction profiles across a set of ground contact cycles within a single landing. This facilitates the early detection of deviations from standard LG response behaviour, pinpointing potential performance abnormalities. The initiator of this approach is the Landing Sequence Typology, which systematically decomposes each aircraft landing into successive dynamic periods defined by their representative boundary conditions. What follows is the setting of initial parameters for the ordinary differential equations (ODE)s of motion that determine the orientation and impact responses of the most critical components of the LG assembly. Solving these ODEs with the integration of a non-linear representation of an oleo-pneumatic shock absorber model compliant with CS25 aircraft standards produces anticipated profiles of LG travel based on factors such as aircraft weight and speed at touchdown, which are subsequently cross-referenced with real accelerometer data, enhanced by video footage analysis. This footage is crucial for verifying the sequence of LG touchdowns and corresponding accelerometer outputs, thereby bolstering the precision of our analysis. Upon the conclusion of this study, by facilitating the early identification of LG performance deviations in specific landing scenarios, this diagnostic tool shall enable timely maintenance interventions. This proactive approach not only mitigates the risk of damage escalation to other components but also transitions main LG maintenance practices from reactive to proactive.
Model-Based Loads Observer Approach for Landing Gear Remaining Useful Life Prediction
Authors: Jobmann Jonathan , Thielecke Frank
Published: June 2024

Implementing health monitoring methods for aircraft landing gears holds the potential to prevent premature component replacements and optimize maintenance scheduling. Therefore, this paper introduces a fundamental framework for fatigue monitoring and subsequent steps for predicting the remaining useful life of landing gears. A key component of this framework is the model-based load observer, which lays the groundwork for subsequent remaining useful life prediction steps. This load observer will be analysed in detail in this paper. The model-based approach is specifically designed for observing the loads on civil aircraft landing gears during touchdown, utilizing signals from in-service sensors. To evaluate the load observation method, a flexible multibody simulation model is introduced to generate synthetic data sets of aircraft in-service data and the corresponding landing gear loads, given the unavailability of real in-service and recorded landing gear load data. The load observation method is applied to synthetic in-service data across various virtually performed landing scenarios, offering a proof of concept along with extensive analysis of parameter uncertainties and additional factors influencing observation quality. Through this analysis, certain challenges to the observation method are identified that require further investigation in subsequent research efforts.
The Effectiveness of Drill Method in Improving Language Students’ Listening Skills of News at the Islamic-Affiliated Middle Schools
Authors: Irma Heryani  , Jimat Jimat Susilo , Susi Darihastining
Published: June 2024

This research aimed to investigate the effectiveness of the Drill method in improving junior high school students' listening skills, particularly in the context of listening to the news. The focus was on eighth-grade students at MTsN 5 Kuningan. Observations indicated that these students generally exhibited low proficiency in news listening. To address this, the study employed an experimental approach, utilizing a quantitative research method. Data were collected through tests, employing specific research instruments such as test sheets, to evaluate the impact of the Drill method on student learning outcomes. The study involved 23 students, and the data processing techniques included statistical analysis, specifically using t-test tests. This was to determine the significant impact of the Drill method on enhancing students’ news listening skills. Results indicated a positive effect of the Drill method on students' listening abilities. A comparative analysis was conducted between the traditional lecture method and the Drill method. It was found that the Drill method was more effective, as evidenced by a t-count of 366.82, which is significantly higher than the t-table value of 2.015. This suggests that the Drill method, through its practice-oriented approach using audio-visual media, facilitates better understanding and retention of theory and information from news sources, thereby improving news listening skills among junior high school students.
Students' Perceptions of Using the OpenAI ChatGPT Application in Improving Writing Skills
Authors: Zebua Joice Angela Zebua , Katemba Caroline Victorine
Published: June 2024

This study investigates the perceptions of utilizing the ChatGPT OpenAI application to enhance students' writing skills. One rapidly developing AI application is ChatGPT, a language model that can assist in writing. The purpose of this study is to explore students' perceptions of using the OpenAI ChatGPT application to improve their writing skills. This research uses a quantitative approach with data collection through a Likert-type closed questionnaire. A total of 82 students from various study programs at Universitas Advent Indonesia who have been using OpenAI ChatGPT for a minimum of four months were respondents in this study. The results show that the majority of respondents have a positive perception of using OpenAI ChatGPT to enhance learning motivation (41.25%), provide comprehensive and easy-to-use features (41%), and help correct grammar errors in writing articles (35.25%). However, some respondents feel neutral about OpenAI ChatGPT's ability to provide explanations that can improve writing skills (37.50%). It can be concluded that the use of OpenAI ChatGPT can be a useful tool in improving students' English writing skills. This study also indicates the potential for further development in providing more in-depth explanations.
The Efficaccy of Roundtable Technique on EFL Students' Writing Skills: An Experience Learned from a Remote Area
Authors: Jusmin HJ Wahid  , Iwan Irawan  , Shuai Ma  , Moh Julfandi Koroy
Published: June 2024

Writing is a skill to express ideas and thoughts to make a message explicit. To arrange an idea in written text the students’ need soft skill in completing a text; grammar, punctuation, and vocabulary are the most important aspect in the writing skill that should be mastered by the students organizing the ideas. To attain the students' comprehend and overcome the obstacles in the writing skill, the researchers implementing a roundtable technique in the teaching process.The research aims to investigate the efficacy of the roundtable technique on EFL students' writing skills. Then, the researchers implement quasi-experimental design, Totally 46 students in each class. In addition, the researchers implement writing test as research instrument. The finding showed that the Roundtable technique is an effective way to improve students' writing skills and can stimulate students' attention to the writing skills. In addition, students found their identity and were more confident in elaborating the good ideas.  The two classes proved that the significance of the experimental class is higher than the control and the significant score is 0.0. This means that the roundtable technique is an effective way to implement in the classroom. It can encourage students to more focus on the issue and update the new information to improve their writing skills. Moreover, it is an enjoyable technique to implement in the classroom to create a good atmosphere and can improve students' attention in the writing process. Roundtable As a recommended solution to the English teachers and lecturers in prioritize to students writing skills. These is design to specifically improve students' grammar, punctuation, and vocabulary mastery in writing skills.
Enhancing EFL Students’ Reading Comprehension by Applying Small Group Discussion at Higher Vocational Education
Authors: Putu Ngurah Rusmawan  , Nurhalimah  , Muhamad Ari Perdana  , Setianingsih Tri
Published: June 2024

At the polytechnic level of vocational education, students learn English as one of the fundamental skills. Improving one's communication abilities is crucial for students seeking higher professional positions in the tourism industry in this age of globalization. This study aims to apply a small group discussion strategy to enhance procedural text reading comprehension. Classroom action research (CAR) was the method used to conduct this study. The four stages were preparation, execution, monitoring, and evaluation. The first cycle's results showed that the students struggled to understand the process material. Among the students, just 53% were able to achieve a score higher than the minimum requirement of 76. Though cycle 2 was successful, there were still issues, such as students who weren't really engaged in their own study. The results of the observation, the questionnaire, and the students' reading scores all verified this. Around 81% of the students were able to meet those success criteria. Students' reading comprehension in the first semester of higher vocational education at the polytechnic was improved through the use of a small group discussion technique.
Teachers’ Challenges on ICT Implementation Using Google Meet as Teaching Media in English Language Teaching
Authors: Cukup Wibowo  , Arif Rahman  , Jumadil  , Hwang Huang Yann
Published: June 2024

The integration of Information and Communication Technology (ICT) in education has significantly transformed the teaching and learning process, particularly in language instruction. Among the various ICT tools, Google Meet has emerged as an innovative solution to enhance engagement and effectiveness in English language teaching, especially for young learners in junior high schools. This study aims to describe the English language teaching methods employed by English teachers to utilize Google Meet in junior high schools and identify the factors that hinder its use in the classroom. The research was conducted with English teachers at junior high schools, employing a descriptive qualitative method. Data were collected through teacher interviews and in-class observations, embracing both observational techniques and interviews. The gathered data were analyzed qualitatively through processes of reduction, data visualization, and comprehensive data analysis. To ensure the reliability of the data, researchers used triangulation methods. The findings of the study indicate that the use of Google Meet in junior high schools in Mataram is extensive, particularly with the implementation of the 2013 Curriculum and the Merdeka Curriculum. Google Meet is employed for various purposes, from managing attendance to student activation and scoring systems. To support the integration of Google Meet and reduce uncertainties in the teaching-learning process, schools have provided facilities such as Wi-Fi, projectors, sound systems, and individual Google Meet accounts for each class. Despite these advancements, the study identified several factors and conditions that limit the use of Google Meet. These include time constraints, as each teaching subject is allocated only one hour per week, and established classroom practices that may resist the adoption of new technologies.
TRANSFORMASI KOMUNIKASI WISATA KONVENSIONAL MENUJU VIRTUAL (STUDI PADA WISATAWAN ONLINE TANGERANG)
Authors: Rafi’I Rafi’I , Liana Chendi , Jamalullail Jamalullail
Published: June 2024

Transformasi digital telah mengubah paradigma komunikasi dalam industri pariwisata, menghadirkan peluang baru dan tantangan bagi pelaku industri. Penelitian ini bertujuan untuk menggambarkan bagaimana komunikasi wisata konvensional telah berubah menjadi virtual, khususnya di Tangerang, melalui persepsi dan pengalaman wisatawan online. Metode penelitian kualitatif digunakan, dengan wawancara mendalam dan analisis konten daring sebagai teknik pengumpulan data. Hasil penelitian menunjukkan bahwa wisatawan online di Tangerang mengalami perubahan signifikan dalam cara mereka berinteraksi dengan informasi wisata dan destinasi, dengan meningkatnya preferensi terhadap pengalaman virtual.Temuan menunjukkan bahwa pergeseran ini telah membuka peluang baru dan tantangan unik bagi pelaku industri pariwisata di Tangerang. Tulisan ini juga memberikan saran bagi penulis untuk menghadapi tren transformasi ini dengan lebih baik.
PENGARUH KEPUASAN PARTNER PROPERTI TERHADAP LOYALITAS DI URBANVIEW REDDOORZ INDONESIA
Authors: Hutasoit Desni F , Djamhur Ina Gandawati , Astuti Titin
Published: June 2024

Salah satu layanan akomodasi yang dapat digunakan dalam industri perhotelan saat ini adalah jasa layanan yang berbasis platform online. RedDoorz merupakan jaringan penginapan budget online terbesar di Indonesia yang memiliki lima brand, salah satunya adalah Urbanview. Dalam kurun waktu lima tahun terakhir sejak 2019 terjadi peningkatan jumlah inactive pada brand Urbanview, yang berarti properti Urbanview menghentikan kemitraan dengan RedDoorz Tujuan dari penelitian ini adalah untuk menganalisis tingkat kepuasan, tingkat loyalitas, serta pengaruh kepuasan terhadap loyalitas partner.  Metode penelitian yang digunakan adalah deskriptif kuantitatif.  Sampel dalam penelitian ini menggunakan purpose sampling, dengan jumlah responden sebanyak 100 yang merupakan partner yaitu pemiliki Urbanview. Teknik pengumpulan data dilakukan dengan menyebarkan kuesioner yang dikirim melalui google form.  Kemudian, dihitung dan dianalisis dengan penggunaan SPSS.  Hasilnya adalah tingkat kepuasan partner rata-rata sebesar 4.10  tingkat loyalitas partner rata-rata sebesar 4.05  dan pengaruh kepuasan terhadap loyalitas adalah koefisien determinasi (R2) = 0.782, hal ini menunjukkan bahwa sebesar 78.2% nilai loyalitas properti urbanview ditentukan oleh kepuasan partner properti urbanview. Disarankan Manajemen RedDoorz perlu memperhatikan kesesuaian harga berdasarkan kesepakatan serta konsisten dan komit menerapkan SOP pelayanan.
PENGARUH ELECTRONIC WORD OF MOUTH (EWOM) PADA MEDIA SOSIAL INSTAGRAM TERHADAP MINAT BERKUNJUNG KE MUSEUM NASIONAL INDONESIA
Authors: Salsabila Denita , Miswan Miswan
Published: June 2024

Electronic word of mouth pada media sosial Instagram berkaitan dengan bagaimana informasi, ulasan, rekomendasi atau komentar yang dipertukarkan secara elektronik oleh pengguna media sosial Instagram untuk menarik minat berkunjung ke Museum Nasional Indonesia. Tujuan dari penelitian ini adalah (1) untuk mengetahui pendapat pengunjung tentang electronic word of mouth (ewom) pada media sosial instagram @museumnasionalindonesia,(2) untuk mengetahui pendapat minat berkunjung Masyarakat ke Museum Nasional Indonesia, (3) untuk mengetahui apakah ada pengaruh ewom pada media social Instagram terhadap minat berkunjung ke Museum Nasional Indonesia. Teknik pengumpulan data yang dilakukan dengan menggunakan kuesioner melalui google form kepada 100 responden yaitu pengikut akun instagram @museumnasionalindonesia dengan menggunakan teknik purposive sampling. Metode yang digunakan   dlalam penelitian ini adalah metode kuantitatif dengan menggunakan analisis regresi linear sederhana dan selanjutnya dilakukan pengujian hipotesis. Hasil penelitian menunjukan pendapat  pengunjung tentang ewom pada media sosial Instagram yaitu dapat dikategorikan efektif dengan rata-rata 3,95. Minat Berkunjung ke Museum Nasional Indonesia dikategorikan berminat, dengan rata-rata 4,19.  Hasil uji hipotesis menunjukkan terdapat pengaruh Ewom pada media sosial Instagram terhadap minat berkunjung ke Museum Nasional Indonesia dengan nilai signifikansi 0,001.
RELEVÂNCIA DE ESTRATÉGIAS NUTRICIONAIS E INTERVENÇÕES DE EDUCAÇÃO ALIMENTAR E NUTRICIONAL NO DESENVOLVIMENTO DE CRIANÇAS COM TRANSTORNO DO ESPECTRO AUTISTA (TEA)
Authors: Priscylla Fernandes Vasconcelos Lino Larruama , Vieira Mahalla Hanne dos Santos , Izabele Xavier Guedes Martins Laura , Fernandes Maia Beatriz , Cileyne Pereira dos Santos Valéria , Nunes Frade Bruna , Alves Ferreira Moreira Dinara , Luiza Nóbrega de Almeida Marinho Joana , Luiza Almeida Leandro Ayanne , De Brito Alves Salomão , Do Nascimento Souza Fransuêndio
Published: June 2024

O transtorno do espectro autista (TEA) é caracterizado por uma desorganização neural influenciado por múltiplos fatores genéticos, ambientais e imunológicos que desempenham um papel na sua patogênese, de modo a apresentar comprometimento no comportamento como deficiências na interação social, na linguagem, na comunicação e no jogo imaginativo, envolve um grupo de manifestações, como anormalidades metabólicas, inflamação intestinal, desequilíbrio imunológico, sintomas relacionados com o sistema gastrintestinal e problemas comportamentais. A intervenção nutricional tem um papel de suma importância no tratamento e evolução, sendo estudada como agente adjuvante da terapia da TEA, devido aos casos com melhoras significativas e diminuição dos sintomas, diminuindo carências  nutricionais e problemas associados. Este estudo buscou reunir informações acerca da relevância das estratégias nutricionais e das intervenções de educação nutricional no desenvolvimento de crianças com tea, a partir de uma revisão bibliográfica. Foi realizada uma busca de artigos publicados enre os anos de 2019 e 2024, nas bases de dados PubMed e Scielo, utilizando os termos de busca relevantes, como autismo, seletividade alimentar e comportamento alimentar. Foram incluídos estudos que abordassem especificamente a alimentação seletiva em crianças com TEA. Foram excluídos artigos duplicados, artigos que não abordavam a temática da pesquisa, estudos com amostras não representativas ou com métodos inadequados, restando em 11 artigos utilizados. Observou-se que intervenções nutricionais por meio de suplemento com nutrientes diversos, como probióticos, ômega 3, vitaminas do complexo B, vitamina D, carnitina, ácido fólico e carnosina, apresentou eficácia na redução de sintomas gastrointestinais destas crianças. prática de educação nutricional, para as crianças, pais e profissionais, é primordial no tratamento da seletividade alimentar apresentada pelas mesmas e que as estratégias nutricionais e comportamentis corretas contribuem para melhores escolhas alimentares, auxiliando em um desenvolvimento mais saudável, destacando a educação nutricional como importante meio de promoção de saúde e melhoria da qualidade de vida de crianças com TEA.