bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Symbolic Regression to Electrochemical Impedance Spectroscopy Data for Lubricating Oil Health Evaluation
Authors: Byington Carl , Mackos Nicholos , Argenna Garrett , Palladino Andrew , Reimann Johan , Schmitigal Joel
Published: March 2024

The authors have applied an advanced set of auto-regressive tools for identifying potentially complex, linear and non-linear relationships in data, wherein the underlying physical relationships are not well described. In this paper these tools and techniques are described in detail, and the results of the application of these tools to evaluation of diesel engine lubricating oil health (based on electrochemical impedance spectroscopy data) is detailed. It is demonstrated that highly accurate models can be constructed which take as input features derived from diesel engine lubricating oil electrochemical impedance spectroscopy data and output estimates of traditional laboratory based oil analysis parameters. The electrochemical impedance spectroscopy and laboratory analytical data used are from a field deployment of oil condition sensors on several long-haul class 8 diesel trucks. The dataset was divided into training and test datasets and goodness of fit metrics were calculated to evaluate model performance. Models were successfully generated for nitration, soot content, total base number, total acid number, and viscosity.
Health Assessment and Prognostics of Automotive Clutches
Authors: Ompusunggu Agusmian Partogi , Vandenplas Steve , Sas Paul , Brussel Hendrik Van
Published: March 2024

Despite critical components, very little attention has been paid for wet friction clutches in the monitoring and prognostics research field. This paper presents and discusses an overall methodology for assessing the health (performance) and predicting the remaining useful life (RUL) of wet friction clutches. Three principle features extracted from relative velocity signal measured between the input and output shaft of the clutch, namely (i) the normalized engagement duration, (ii) the normalized Euclidean distance and (iii) the Spectral Angle Mapper (SAM) distance are fused with a logistic regression technique into a single value called the health index. In logistic regression analysis, the output of the logistic model (i.e. the health index) is restricted between 0 and 1. Accordingly, the logistic model can guide the users to assess the state of a wet friction clutch either in healthy state (e.g. health index value of (close to) 1) or in failed state (e.g. health index value of (close to) 0). In terms of prognostics, the logarithm of the odds-of-success g defined as g = log[h/(1−h)], where h denotes the health index, is used as the predicted variable. Once a history data is sufficient for prediction, the weighted mean slope (WMS) method is implemented in this study to adaptively build a prognostics model and to predict the trajectory of g until it crosses a predetermined threshold. This way, the remaining useful life (RUL) of a clutch can be determined. Furthermore, an experimental verification of the proposed methodology has been performed on two history datasets obtained by performing accelerated life tests (ALTs) on two clutch packs with different friction materials but the same lubricant. The experimental results confirm that the proposed methodology is promising and has a potential to be implemented for real-life applications. As was expected, the estimated RUL converges to the actual RUL and the uncertainty Agusmian Partogi Ompusunggu et.al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. interval decreases over time that may indicate that the prognostics model improves as more evidence becomes available.
Performance Evaluation for Fleet-based and Unit-based Prognostic Methods
Authors: Saxena Abhinav , Sankararaman Shankar , Goebel Kai
Published: March 2024

Within the last decade several new methods for prognostics have been developed and an overall understanding of the various issues involved in predictions for health management has significantly improved. However, it appears that there is still a lack of consensus on how prognostics is defined and what constitutes good performance for prognostics. This paper first differentiates prognostics from other prediction approaches before highlighting key attributes of performance for prediction methods. Then it argues that it is important to understand what factors affect the performance of a prognostic approach. Factors such as the application and end use of a prognostic output, the various methods to make predictions, purpose of performance evaluation, etc. are discussed. This paper presents a comprehensive view of various such aspects that dictate or should dictate what performance evaluation must be as far as prognostics is concerned. It is also discussed what should be used as baseline to assess performance and how to interpret commonly used comparisons of algorithm predictions to observed failure times. The primary goal of this paper is to present some arguments of how these issues can be addressed and to stimulate a discussion about meaningful evaluation of prognostic performance. These discussions are followed by a brief description of prognostics metrics proposed recently, their applicability, and limitations. This paper does not intend to suggest any metrics in particular rather highlights important aspects that must be covered by any performance evaluation method for prognostics.
Performance and Condition Monitoring of Tidal Stream Turbines
Authors: Grosvenor Roger I. , Prickett Paul W. , Frost Carwyn , Allmark Matthew
Published: March 2024

Research within the Cardiff Marine Energy Research Group (CMERG) has considered the integrated mathematical modelling of Tidal Stream Turbines (TST). The modelling studies are briefly reviewed. This paper concentrates on the experimental validation testing of small TST models in a water flume facility. The dataset of results, and in particular the measured axial thrust signals are analysed via time-frequency methods. For the 0.5 m diameter TST the recorded angular velocity typically varies by ± 2.5% during the 90 second test durations. Modelling results confirm the expectations for the thrust signal spectrums, for both optimum and deliberately offset blade results. A discussion of the need to consider operating conditions, condition monitoring sub-system refinements and the direction of prognostic methods development, is provided.
Process-based Review of Post-Prognostics Decision-Making
Authors: Wesendrup Kevin , Hellingrath Bernd
Published: March 2024

Condition-based maintenance (CBM) and prognostics and health management (PHM) are established paradigms that evidently offer a competitive advantage to a company. However, to make a business case, it must be examined where PHM and a remaining useful life (RUL) estimation can lead to substantial benefits. These benefits are strongly tied to the decision-making that succeeds prognostics. While the prognostics component of PHM is well examined, research on post-prognostics decision-making (PDM) is still in its infancy. It is generally assumed that PHM can lead to benefits for business processes beyond 'traditional' maintenance management. Unfortunately, there is no overview for which processes (such as production scheduling or route planning) PDM can be applicable and how exactly specific optimizations and their corresponding benefits can be achieved. This work provides a structured literature review on PDM and identifies studies that exploit the RUL prediction for optimizing business processes. The review synthesizes the following aspects within a PDM framework: a) which processes are improved through post-prognostics decision-making, b) what decisions must be made, and c) what novel benefits are achieved and which challenges arise. This review enables scholars to identify how current prognostics research can be extended to the decision stage of CBM and PHM and aids practitioners in pinpointing how operations can be optimized through PDM.
Data-driven fault diagnosis of bogie suspension components with on- board acoustic sensors
Authors: Sorribes Pamer Felix , Luber Bernd , Fuchs Josef , Kern Thomas , Rosenberger Martin
Published: March 2024

This paper proposes a data-driven approach for fault-detection and isolation of bogie suspension components with on-board acoustic sensors. The fault detection technique is based on the acoustic emissions variation due to structural modal coupling changes in the presence of faulty components. A suspensions component failure introduces an imbalance into the system, resulting in dynamics interferences between the motions. These interferences modify the energy introduced into the system as well as its acoustic emissions. The unknown arbitrary track irregularities generate together with a variable train speed a random nonstationary vehicle excitation. Speech recognition techniques were used to generate features that consider this phenomenon. Frequency spectrums were analysed in different operating conditions to design efficient features. The robustness of the methodology was verified with data from two different test measurement campaigns on a test ring, where the influence of the sensor locations for the fault classification process was studied. The proposed methodology achieved good fault classification performance on the investigated use cases, removed dampers and 50% damper degradation on primary and secondary vertical suspension.
Streaming-based feature extraction and clustering for condition detection in dynamic environments: an industrial case
Authors: Calabrese Francesca , Regattieri Alberto , Pilati Francesco , Bortolini Marco
Published: March 2024

As relevant aspects of PHM, feature extraction and diagnostics represent the focus of many paper related to predictive maintenance. Feature extraction is a fundamental part in PHM, as the accuracy of diagnostic models strongly depends on the goodness of the features. In particular, it is performed when components or systems are provided with many sensors, in order to extract relevant and non-redundant information from the raw dataset. Diagnostic is a typical pattern recognition problem, in which the data are classified according to the operating or fault condition they refer. Thus, to obtain the Remaining Useful Life (RUL) of the component, usually an offline analysis, including feature extraction and diagnostics, is performed, whose results are then used for degradation modelling and finally RUL prediction. However, when systems do not operate in strictly controlled environments, as in case of industrial contexts, it is very challenging to obtain information about the operating condition at the moment of signal acquisition. This results in unlabeled datasets, which cannot be used by supervised learning algorithms, as ANNs and SVMs. In addition, operating conditions change over time and it is not always possible to know a priori all possible conditions. These considerations suggest to resort to streaming applications, in which models can directly learn from new incoming data. As the degradation rate may vary according to the operating condition, influencing the RUL prediction, one should always know in which condition the machinery is operating, or should recognize if a new condition is occurring. In addition, it is not possible to extract good features that distinguish different conditions, if a condition is not known. Therefore, features should be extracted in an unsupervised manner and incrementally, so that if a new condition occurs, eventually better features can be extracted. Furthermore, an incremental clustering should be conducted so to always recognize the condition under which the system is operating, if known, or to detect a new condition.

In this paper, a streaming-based procedure for feature extraction and clustering is proposed, which is validated on a real industrial case study. A batch and supervised feature extraction and diagnostics are also performed on the same dataset, to demonstrate that the two approaches have similar results, in terms of accuracy with respect to the known conditions. In addition, thanks to the incremental clustering, the proposed approach is also able to detect and automatically label new machinery operating conditions.
Remaining Useful Life Estimation in Aircraft Components with Federated Learning
Authors: Llasag Rosero Raúl Homero , Silva Catarina , Ribeiro Bernardete
Published: March 2024

In this work, we compare distributed collaborative learning techniques for Prognostic and Health Management (PHM) systems, focusing on predictive aircraft maintenance. Aircraft industry components are usually evaluated using remaining useful life (RUL) estimations to describe the amount of time left before system health falls. Such estimates have been commonly achieved with traditional degradation estimation methods. These estimation methods have been widely applied in centralized processing architectures, limiting the scalability of PHM systems.

Concerns about data privacy and transfer of large amount of data have also been limiting the construction of decentralized processing architectures. Nevertheless, with the emergence of collaborative training methods of machine learning models, e.g. Federated Learning (FL), the previous referred concerns have being tackled by privacy-preserving communications while keeping data at the network edges. However, the effectiveness of federated learning algorithms using time-series data for prognostic and health management of aircraft systems has been minimally explored.

In this work, we use feed-forward neural networks on centralized and decentralized scenarios to compare the prediction error minimization of FL algorithms, such as, Federated Average (FedAvg) and Federated Proximal Term (FedProx). Our experiments take into account gradient descendent minimization and averaging weights of neural networks. Using FedAvg, we obtained similar prediction errors to the centralized scenario but presenting uncertain predictions along the aggregation iterations. On the other hand, using FedProx, the prediction error curve progressively decreases along the aggregation iterations if μ takes values ~ 0.01.
RUL Predict of IGBT Based on DeepAR Using Transient Switch Features
Authors: Ge Jianwen , Huang Yixiang , Tao Zhiyu , Li Bingchu , Xiao Dengyu , Li Yanming , Liu Chengliang
Published: March 2024

The insulated gate bipolar transformer (IGBT) has been widely used in power electrical system such as wind power converter and drive converter. However, the high load and capricious working environment make IGBT become the most vulnerable component in the electrical system. In this paper, a method based on probabilistic forecasting with auto-regressive recurrent networks (DeepAR) is proposed to predict the remaining useful life (RUL) of IGBT. Firstly, the transient data of the collector-emitter voltage signal are acquired when IGBT is turned off. Then, the different characteristics are extracted from transient data and the features that can represent the health state of IGBT best are chosen as the input of the DeepAR model to predict the remaining life of IGBT. Experiment results show that the log-log ratio of transient data can be an accurate precursor to predict RUL, and compared with other similar series predict models such as Auto-Regressive Integrated Moving Average (ARIMA) and Simple Exponential Smoothing (SES), DeepAR can get higher accuracy.
Probabilistic Data-Driven Prognostic Methodology for Proton Exchange Membrane Fuel Cells
Authors: Sethi Amrit , Verstraete Dries
Published: March 2024

Hydrogen fuel cells, particularly proton exchange membrane fuel cells (PEMFC), are promising, robust, clean energy sources. However, their high cost and short lifespan under dynamic loads impedes their widespread usage. Accurate and real-time prognostics, especially remaining useful time (RUL) estimation, can help ameliorate the commercial viability of PEMFCs. Data-driven methods are increasingly considered for RUL estimation. This paper looks at two such methods – Gaussian Process Regression (GPR) and Long-Short Term Memory (LSTM) Networks and assesses them in terms of accuracy and suitability for real-time applications when tested against the IEEE PHM Challenge 2014 data set. Gaussian Process Regression is a non-parametric kernel method. LSTM, on the other hand, is a recurrent neural network based architecture that is effective at detecting both long term and short term trends in time series predictions. For the cases investigated here, the results derived using LSTM are more accurate, especially since they effectively capture long term trends. However, GPR assigns a probability to its prediction - a desirable aspect in a real-time setting so that corrective action can be applied appropriately. The paper then proposes the use of a variant of these methods - Gaussian Process-Long Short Term Memory Network (GP-LSTM) as an alternative that combines the higher accuracies of the LSTM method and the probabilistic output from GPR. The results attained using GP-LSTM are close in accuracy to the LSTM results and have a probability associated with them, making them suitable for real-time applications. The effectiveness of GP-LSTM is further proven using a dynamic data set and strategies are suggested to appropriately apply GP-LSTM to real-world scenarios.
Sensitivity Analysis of Online Oil Quality Monitoring for Early Detection of Water Ingress in Marine Propulsion Systems
Authors: Klausen Andreas , Kalaoja Johannes , Kandukuri Surya Teja , Robbersmyr Kjell G.
Published: March 2024

Gearboxes are critical equipment in the vessel propulsion system. Lubrication contamination caused by water ingress or condensation is one of the major failure modes in marine gearboxes leading to accelerated aging of lubricant, resulting in accelerated wear of gearbox components such as bearing and gears. This article presents a systematic evaluation of moisture ingress sensitivity of three commercial online oil quality monitoring sensors. A laboratory setup consisting of an industrial multi-stage planetary gearbox is utilised for the experimental studies. Furthermore, the gearbox vibration signatures are analysed to investigate the sensitivity of vibration measurements to water ingress to determine the need for oil quality monitoring when considering this specific failure mode.
A Novel Methodology for Health Assessment in Printed Circuit Boards
Authors: Johntaco  , Gore Prayag , Minami Takanobu , Kundu Pradeep , Lee Jay
Published: March 2024

The demand for Printed circuit boards (PCBs) has increased due to the rapid change in technology in recent years. Consequently, PCBs health assessment and fault detection play an important role in improving productivity. This study proposed a novel method which focused on feature engineering for health assessment in PCBs. The performance of the proposed method has been validated using data obtained from PHM Europe 2022 data challenge. In this data challenge, PCBs health assessment needs to be performed with data from the Solder Paste Inspection (SPI) and the Automated Optical Inspection (AOI) machine. The challenge has three tasks: 1) Predict the labels of the AOI machine using the SPI data. 2) Using both the SPI and AOI machine data, predict the operator's verification that the AOI machine correctly detected a defect. 3) With the SPI and AOI data, predict the classification of the defective PCBs as either repairable or unrepairable. The component level features are extracted from the original SPI and AOI data which contain the pin level features to solve these tasks. Two machine learning-based classification models, i.e., Light Gradient Boosting Machine (LightGBM) and eXtreme Gradient Boosting (XGBoost), have been used for classification purposes. Training data given by the organizer was divided into 70% training and 30% validation. Based on the validation data, the highest F1-score was observed with LightGBM in Tasks 1 and 2, whereas, in Task 3, the highest F1-score was observed with the XGBoost model. Hence, the LightGBM model has been used in Tasks 1 and 2, and the XGBoost model was developed for Task 3.
НЕЙРОМАРКЕТИНГ ЯК ЗАСІБ СТИМУЛЮВАННЯ ПОПИТУ В ГОТЕЛЬНОМУ БІЗНЕСІ
Authors: Паньків Марія , Липовий Денис
Published: March 2024

У статті розглядаються сучасні механізми нейромаркетингу та можливості їх застосування в готельному бізнесі для стимулювання попиту та управління споживчою поведінкою. Наводяться основні нейромаркетингові стратегії та рекомендації щодо їх впровадження в діяльність готельних підприємств.
ДОСЛІДЖЕННЯ НЕРЕГУЛЬОВАНИХ ПЕРЕХРЕСТЬ
Authors: Трошин Михайло , Карасьов Олексій , Баранник Вадим
Published: March 2024

Нерегульовані перехрестя - це перехрестя, на якому відсутні світлофори або регулюючі дорожній рух регулювальники. Вони є найбільш поширеним типом перехресть у світі, оскільки їхня конструкція є відносно простою та економічно доступною. Однак нерегульовані перехрестя також є одними з найнебезпечніших типів перехресть. Дослідження нерегульованих перехресть є актуальним з кількох причин. По-перше, вони є поширеним типом перехресть, що робить їх дослідження важливим для підвищення безпеки дорожнього руху. По - друге, нерегульовані перехрестя є причиною значної кількості дорожньо-транспортних пригод (ДТП), що робить їх дослідження важливим для розробки заходів щодо їхнього зниження. Метою дослідження є визначення факторів, що впливають на їхню безпеку. Це дослідження допоможе розробити заходи щодо підвищення безпеки нерегульованих перехресть та зменшення виникнення на них ДТП. Дослідження нерегульованих перехресть може включати такі напрями:

Аналіз поведінки учасників дорожнього руху на нерегульованих перехрестях. Це дослідження дозволить визначити, як поведінка учасників дорожнього руху впливає на безпеку нерегульованих перехресть.

Аналіз проектування та обладнання нерегульованих перехресть. Це дослідження дозволить визначити, як проектування та обладнання нерегульованих перехресть впливає на їхню безпеку.

Дослідження нерегульованих перехресть є важливим завданням, яке може допомогти підвищити безпеку дорожнього руху та зменшити кількість ДТП.
ANGLE BETWEEN INTERSECTING CIRCLES
Authors: Hetmanenko Liudmyla
Published: March 2024

The article demonstrates the concept of orthogonal circles and solves fundamental theorem problems involving right angles between circles. Special attention is paid to the orthogonality of two circles as in a right triangle, as well as the perpendicularity of the Apollonian circle to the respective circles. These problems can be considered both in math olympiads and in the study of geometry courses.
ІНТЕРВ’Ю ЯК МЕТОД ЗБОРУ ІНФОРМАЦІЇ ТА МЕДІАЖАНР: ОСОБЛИВОСТІ ТРАНСФОРМАЦІЇ НА СУЧАСНОМУ ЕТАПІ
Authors: Недоступ Анастасія , Лаврик Оксана
Published: March 2024

Досліджено сучасні трансформації інтерв’ю як методу отримання інформації в журналістиці та медіажанру. Наголошено, що як метод збору інформації інтерв’ю має значний потенціал у розкритті глибини даних та розумінні певних тем або проблем, однак вимагає від журналістів відповідної підготовки, комунікаційних навичок та аналізу, оскільки постійно трансформується під впливом сучасних технологій, культурних та соціальних змін. Ці трансформації переважно відображають потреби аудиторії в швидкому та різноманітному способі споживання інформації, а також прагнення до більшої глибини та інтерактивності в комунікаціях. Новими різновидами інтерв’ю як жанру на сучасному етапі є інтерв’ю-цитатник, так звані змішані інтерв’ю, інтерв’ю, побудовані за концепцією сторітелінгу тощо.
ОПТИМІЗАЦІЯ CHATGPT ДЛЯ ОСВІТНІХ ЦІЛЕЙ ЧЕРЕЗ НАЛАШТУВАННЯ СИСТЕМНИХ ІНСТРУКЦІЙ
Authors: Дубовенко Юрій , Патока Владислава , Дубовенко Владислав
Published: March 2024

Описана актуальність популяризації ChatGPT 3.5 Turbo в шкільній і вищій освіті. Вказані його основні ризики і переваги, у тому числі галюцинації як суть його стохастичної природи. Розкрито обмеження підказок ChatGPT і поліпшення відгуку за допомогою спеціальних інструкцій. Описано налаштування спеціальних інструкцій та деякі неписані правила. Подано способи використання спеціальних інструкцій. Узагальнено поради щодо створення ефективних підказок ChatGPT. Вказані прийоми оптимізації підказок ChatGPT, щоб отримати більш релевантні результати. Наведені приклади використання ChatGPT для обробки текстів і поради з удосконалення підказок на основі досвіду користувачів. Вказаний неоднозначний вплив різних стимулів на поведінку ШІ і адаптація до його реального світу.
ОСОБЛИВОСТІ ФІЗИЧНОЇ ПІДГОТОВКИ ЖІНОК-ПРИКОРДОННИЦЬ
Authors: Рефель Вадим
Published: March 2024

Ця стаття розглядає особливості фізичної підготовки жінок-прикордонниць в Україні. Досліджується важливість адаптації тренувальних програм до жіночого фізичного здоров'я та розглядають спеціальні вимоги, які ставляться перед жінками, які обирають кар'єру в прикордонній службі. На основі власного досвіду та аналізу наукових досліджень пропонуються підходи до оптимізації фізичної підготовки жіночого складу прикордонних військ з метою підвищення їхньої ефективності та забезпечення успішного виконання службових обов'язків.
Analisis Kualitatif Persepsi Visuospasial Muslim Milenial Urban Indonesia Terhadap Manasik Haji/Umrah Virtual
Authors: Nugroho Adi , Moeksin Ahmad Gamaludin , Maula Akbar Ibrahim , Widyasari Siti Mahrimah
Published: March 2024

Artikel ini menyajikan temuan dari studi kualitatif fenomenologis yang meneliti konstruksi personal millennial Muslim urban di Indonesia tentang manasik haji/umrah virtual. Fokus studi ini adalah untuk menggali dan menilai persepsi narasumber mengenai pelaksanaan haji di tengah pandemi serta respon mereka terhadap  konsep spasial manasik virtual. Wawancara mendalam yang disertai dengan stimulus visual berbentuk website yang menampilkan gambar 3D 360º virtual  Kakbah dibuat untuk narasumber muslim untuk keperluan pengumpulan data. Sampel terdiri dari lima narasumber Muslim, dengan rentang usia 30 hingga 40 tahun, laki-laki dan perempuan yang telah pernah melaksanakan umrah. Studi literatur dan analisis konten juga dilakukan untuk mendapatkan kesimpulan yang dapat dipertanggungjawabkan. Secara umum, narasumber yang memberikan respon tentang manasik di Indonesia tidak memberikan gambaran yang komprehensif mengenai kondisi nyata dan pengalaman spasial langsung di Arab Saudi. Memberikan informasi visual spasial yang nyata dan cukup untuk mengantisipasi hal ini dianggap membantu bagi para narasumber.
ANALISIS MDA FRAMEWORK PADA GAME POKEMON GO
Authors: Widyananda Putra Ricky , Anissa Jeanie
Published: March 2024

Perkembangan teknologi mengalami kemajuan pesat di segala bidang, dari yang sederhana hingga yang semakin canggih. Seiring berjalannya waktu, teknologi telah memainkan peran yang sangat penting dalam segala bidang, terutama hiburan. Dalam dunia hiburan merupakan salah satu contoh perkembangan teknologi yang mendorong perkembangan industri game. Game saat ini sudah dikenal dan masih diminati, karena merupakan bentuk permainan yang menarik dan menghadirkan interaktif bagi para pemainnya. Hal ini menjadikan game sebagai media visual yang efektif untuk mengumpulkan pengalaman dan informasi dari interaksi pengguna atau pemain. Salah satu game yang mengembangkan bentuk interaksi pada pemainnya ialah game Pokemon GO, dengan konsep augmented reality (AR) game ini memberikan interaktivitas yang lebih bagi para pengguna untuk menjelajahi ruang nyata di dunia virtual. Hal ini dapat menghadirkan pengalaman baru bagi para pemain untuk tetap menikmati objek yang berada di game. Maka masalah dari penelitian ini ialah bagaimana game Pokemon GO dapat menghadirkan estetika interaksi bagi para pemain. Adapun tujuan dari penelitian ini ialah untuk mengetahui dan menjelaskan kaitan antara estetika interaksi pada media game pada para pemain. Dalam penelitian ini pendekatan teori yang digunakan ialah model MDA (Mechanic, Dynamic, Aesthetic) pendekatan ini menggambarkan setiap tiap komponen yang ada saling terkait seperti mekanik, dinamika, dan estetika dalam media game. Temuan dalam penelitian dapat menunjukkan jenis respons interaksi dapat dieksplorasi dengan menggunakan media game. Kesimpulan yang didapat pada penelitian ini, kedepannya pendekatan MDA dapat digunakan untuk menganalisis medium game sejenis yang terkait dengan hadirnya estetika interaksi khususnya dalam bentuk hubungan sosial, sehingga membentuk social society atau masyarakat sosial dalam komunitas para pemain game.
PERANCANGAN AMBIENT MEDIA SEBAGAI MEDIA KAMPANYE PENCEGAHAN KEKERASAN DAN PELECEHAN SEKSUAL DI LINGKUNGAN KAMPUS
Authors: Tommi
Published: March 2024

Fenomena kekerasan dan pelecehan seksual dapat terjadi di mana saja dan oleh siapa saja. Fenomena ini sering terjadi juga di lingkungan terpelajar, salah satunya adalah kampus. Idealnya tempat tersebut adalah tempat paling aman untuk menimba ilmu bagi para mahasiswa. Sehingga dibutuhkannya edukasi lebih lanjut mengenai fenomena ini melalui kampanye sosial di lingkungan kampus. Agar ke depannya fenomena tersebut dapat dicegah, maka dibuatlah sebuah solusi dengan menggunakan ambient media pada elevator sebagai media desain dalam kampanye sosial mengenai kekerasan dan pelecehan seksual di lingkungan kampus. Sehingga diharapkan pesan-pesan melalui kampanye ini dapat tersampaikan dengan baik dan dengan cepat dipahami oleh mahasiswa, yang mana dapat mencegah tindakan kekerasan dan pelecehan seksual di lingkungan kampus
COMPARISION OF INCENTIVE SPIROMETER VS BALLOON BLOWING ON PULMONARY FUNCTION IN POST SURGICAL UPPER ABDOMINAL CONDITION'S.
Authors: Sushmitha Kallepalli , Kavitha N. , Madhavi K. , Kumar M. Suresh , Reddy V. Venkatarami
Published: March 2024

Objective: The objective of this study is to compare incentive spirometer vs balloon blowing on pulmonary function in post-surgical upper
abdominal conditions, Improvement in peak expiratory ow rate, Level of dyspnoea. subjects were ass Methodology: igned to group A (n=15),
group B (N=15), through simple random sampling technique (lottery method). Data was collected at baseline on the day of discharge on abovestated outcome measures, by using peak expiratory ow meter, dyspnea scale. Group-A performed routine respiratory physiotherapy + incentive
spirometer and Group-B performed routine respiratory physiotherapy + balloon blowing exercise + incentive spirometer. There is an Results:
increase in the peak expiratory ow rate and decrease in dyspnea values for both group A and group B when compared to pretest. Compared to
group A, group B shows a little more effective. There was an overall increase in PEFR in both group Conclusion: A and group B when compared to
their baseline values. So, it is concluded that IC + BBE IS benecial in decreasing dyspnea level in upper abdominal surgery patients.
Elementi di petrologia sperimentale
Authors: Vetere Francesco Pasqualino
Published: March 2024

This volume is focused on the fundamentals of experimental petrology, aiming to facilitate the understanding of the dynamics, formation, and evolution of planet Earth and rocky planets. The study is primarily based on the author’s experience in the fields of petrology and volcanology, with the purpose of introducing university and PhD students in Earth Sciences or related fields to the world of experimental petrology—a young and evolving discipline.
Comparison of the clinical parameters of restorations performed with total-etch and self-etch adhesive techniques
Authors: Khabadze Z. S. , Dashtieva M. Yu. , Borlakova M. M. , Urazgulov A. K. , Smirnov D. P. , Kozlova Z. V. , Eliseeva T. A. , Kostinskaya M. V. , Shegai A. V.
Published: March 2024

AIM. To conduct a systematic review to evaluate the differences between the clinical performance of restorations made with total-etch and self-etch techniques.MATERIALS AND METHODS. A literature search was conducted in the Pubmed, Google Scholar and Cyberleninka databases. The research was done according to the PICO strategy. Articles from the last 10 years (2013–2023) were included in the review.RESULTS. After screening 1005 articles, 52 studies were subjected to data extraction. There were no statistically significant differences in any study regarding recurrence of caries. In 9 of 14 articles, retention was higher with the total-etch technique. Total-etch groups showed better marginal adaptation in 11 of 19 studies. 11 of 17 studies recorded the least marginal staining using the total-etch technique. None of the studies found statistically significant results for the presence of post-operative sensitivity at the end of the follow-up period. However, three studies reported statistically significant evidence of post-operative sensitivity at baseline, and after 12 months (1/2 follow-up) in the total-etch groups only.CONCLUSIONS. Both methods show effective and clinically acceptable restoration performance.
NO ESPELHO DA MEMÓRIA:
Authors: Dos Santos Vieira Duana Ravena , De Souza Correa Jannyelle , Castelo Branco de Lima Lilian
Published: March 2024

Este artigo apresenta o relato memorialístico da vida estudantil da autora na escola Patronato Maria Narciso, hoje Patronato e Colégio Irmã Maria Eugênia (PCIME), em um diálogo profundo com os principais teóricos que estudam identidade e memória com ênfase especial para Stuart Hall e Maurice Halbwachs, que dialogam neste artigo e nos trazem grandes contribuições. Este trabalho está dividido em cinco sessões: Da História do Patronato Maria Narciso Regada às Memórias dos Anos 1993-2000; As Memórias do Ensino Fundamental II - Anos de 2001-2004; De Estudante a Colaboradora: a Trajetória como Funcionária da Escola; Identidades que se Constroem, Memórias que Ficam; No Espelho da Memória: Reflexos de uma Trajetória. Para a construção deste artigo foi realizada uma pesquisa documental nos arquivos do PCIME e também no livro Memórias, publicado em comemoração aos 70 anos do colégio, no ano de 2014. Buscamos, ademais, todo o aporte teórico para fundamentar este trabalho, que discute memórias e identidades.
ANÁLISE COMPARATIVA DOS GRAUS DE SATISFAÇÃO E IMPORTÂNCIA DA QUALIDADE DE VIDA NO TRABALHO EM UMA INSTITUIÇÃO PÚBLICA FEDERAL
Authors: De Morais Santos Rodrigues Maria Reijane , Carneiro Alexandre João Welliandre , Veras Rodrigues Maxweel
Published: March 2024

As constantes transformações que ocorrem no mundo impõem às organizações mudanças contínuas em seus modos de gestão, o que exige, cada vez mais, profissionais capacitados para atenderem à demanda do mercado. Mas, ao se tornarem mais produtivas e competitivas, as organizações constatam maior adoecimento físico e psicológico de seus profissionais. Neste contexto, surge a necessidade de investimento na Qualidade de Vida no Trabalho (QVT) para minimizar e erradicar tais efeitos negativos. Diversos conceitos são atribuídos à QVT; no entanto, por ser um tema complexo não há um consenso acerca de sua definição. Modelos avaliativos de QVT surgem, principalmente, a partir da década de 1970 e, atualmente, ainda se destacam como referência. Nessa linha de pesquisa, este estudo, de caráter quantitativo, tem como objetivo analisar os níveis de satisfação e os graus de importância atribuídos pelos servidores à QVT em uma instituição pública federal. Utiliza-se como ferramenta de coleta de dados um questionário baseado no Modelo de Walton, que identifica oito fatores relacionados à QVT. Para as interpretações e análises dos resultados foram aplicados os métodos de análise exploratória de dados. A partir dos resultados obtidos, revelou-se que para todos os fatores o grau de satisfação dos servidores está em discordância negativa em relação ao grau de importância. Conclui-se, portanto, que esses fatores apresentam uma deficiência em relação à QVT e que este déficit resulta de um desequilíbrio entre as reais necessidades dos servidores, dada a importância que atribuem à QVT, e o não atendimento destas pela instituição pesquisada.
VALIDAÇÃO DE INDICADORES PARA AVALIAR O DESEMPENHO DA GESTÃO DE CURSOS DE GRADUAÇÃO EM INSTITUIÇÕES DE ENSINO SUPERIOR (IES)¹
Authors: Iser Fábio , Zanin Rodrigo Bruno
Published: March 2024

Os indicadores de desempenho são ferramentas metodologicamente formuladas para avaliar o cumprimento de metas e o alcance de objetivos institucionais, sendo, portanto, instrumentos de avaliação, a qual por sua vez é componente do processo de planejamento estratégico. Assim, este trabalho visa validar um conjunto de indicadores para avaliar as ações de gestão do ensino de graduação propostos para uso na Universidade do Estado de Mato Grosso (UNEMAT). Trata-se de uma pesquisa de natureza aplicada, do tipo exploratória e estudo de caso. O processo de validação foi realizado por meio da avaliação de uma amostra composta por cinco especialistas conhecedores tanto da dimensão ensino de graduação quanto da realidade institucional da referida universidade. O resultado da validação apontou alguns critérios apresentados na literatura específica sobre o tema como não sendo considerados importantes para a instituição em análise.
COGNIÇÃO SITUADA:
Authors: Teles Lúcio , Ambrós Zelí Isabel
Published: March 2024

O presente estudo tem por objetivo explorar o novo conceito de Cognição Situada e discutir conceitos-chave desta nova abordagem. Os pesquisadores que trabalharam com a Cognição Situada iniciaram este modelo teórico nos anos 1980, particularmente nos trabalhos de Brown, Collins e Duguid (1989), Wenger (1998, 1991), Suchman (1985), Lave (1988a, 1988b), Clancey (1997), Maturana (2001) e Venâncio e Borges (2006). Buscou-se apresentar e discutir as propostas de novos métodos em educação dos pesquisadores desta área. Como metodologia de estudo, fez-se uso de pesquisa bibliográfica em artigos científicos nacionais e internacionais, além de teses de doutorado. Na pesquisa sobre a Cognição Situada, esta é considerada a partir de seu contexto, sua cultura e atividade realizada. Também os conceitos chamados de 4E são discutidos: embodied (corporificado), embedded (embutido), extended (estendido) e enactive (enativo). Esta conceituação permite compreender esta nova abordagem como uma proposta pedagógica para melhorar a qualidade do processo educacional.
NARRATIVAS (AUTO)BIOGRÁFICAS
Authors: Martins Farias Vasconcelos Ana Paula , Mota Neves de Almeida Sinara
Published: March 2024

Este artigo traz um recorte da dissertação intitulada de Memórias e formação docente: das teias do vivido à tessitura de si por meio de narrativas escritas de professoras, uma dimensão da Colcha de Retalhos, do Programa de Pós-Graduação em Educação (PPGEF) da Universidade da Integração Internacional da Lusofonia Afro-Brasileira (UNILAB) e Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE). Nesse artigo, discute-se a relevância do uso das narrativas (auto)biográficas, destacando o dispositivo investigativo metodológico e de formação: Colcha de Retalhos, de autoria da Berkenbrock-Rosito (2009). Dessa feita, tem-se como objetivo o alcance da escuta sobre a formação de três professoras que atualmente se encontram na condição de docentes aposentadas, por meio da dimensão escrita da Colcha de Retalhos. Desse modo, utilizaram-se como referência os estudos de histórias de vida e narrativas (auto)biográficas em Josso (2004, 2010), Delory-Momberger (2010, 2012), dentre outros. Pautou-se também em Freire (1987, 1996) para destacar a importância do desenvolvimento da autonomia e em Adorno (2000) para tratar da emancipação do sujeito. Assim, a Colcha de Retalhos propiciou o desenvolvimento da sensibilidade, a retomada de experiências formadoras e os sentimentos guardados no tempo e no espaço docente. A construção dos dados narrativos está canalizada para a finalidade da pesquisa, isto é, defender a importância de processos (auto)biográficos na formação docente tomando como contexto retalhos históricos de professoras no percurso da formação acadêmica.
Revisão da literatura sobre o uso da cannabis medicinal no tratamento da epilepsia
Authors: Pereira Levada Leonardo , Carvalhal Pittan Felipe , Hazem Ashmawi Omar , Reis Olej Gabriel , Della Torre Soler João Vitor , Alves Costa de Souza Izabela , Cavalcante Ribeiro Jeferson , Pupe Camila Castelo Branco
Published: March 2024

A epilepsia, doença que afeta aproximadamente 1% da população global, é um distúrbio cerebral complexo com múltiplos fatores de risco e predisposição genética. O diagnóstico depende de uma história clínica detalhada e testemunhos confiáveis, atrelado ao uso de neuroimagem para identificação de possíveis etiologias. Cerca de um terço dos pacientes enfrenta refratariedade aos medicamentos anticonvulsivantes existentes. Diante disso, a cannabis medicinal, especialmente o canabidiol (CBD), tem sido explorada devido às suas propriedades terapêuticas, com destaque para sua eficácia anticonvulsivante e perfil de segurança favorável. O interesse crescente na utilização de canabinóides medicinais, incluindo em crianças com epilepsia refratária, levanta preocupações sobre a falta de dados de longo prazo sobre segurança e eficácia. O estudo em questão realiza uma revisão integrativa da literatura recente, destacando a complexidade do cenário de pesquisa, a falta de consenso sobre a eficácia dos canabinóides e a necessidade urgente de estudos mais robustos e controlados. Diferentes estudos apresentam conclusões divergentes sobre a eficácia do CBD e de outros compostos da cannabis no tratamento da epilepsia, evidenciando a necessidade de uma abordagem cautelosa e de pesquisas mais aprofundadas para orientar decisões clínicas e políticas de saúde pública.
CONSEQUÊNCIAS QUANTO À ADOÇÃO DE REGIME ALIMENTAR VEGETARIANO NA GESTAÇÃO: UMA ANÁLISE NARRATIVA
Authors: Rodrigues Shirley Thaynáh Figueirêdo de Paiva , Souza Rebeca Ferreira , Mourão Thiago Melo , Hidalgo Maíra da Costa Silva Rendon , Santos Daniel Carvalho , Morais Fabiana de , Scolari Vitória Valentina Carvalho , Barbeiro João Pedro Negrelli , Magalhães Clara Botelho , Lima Manuella Teles Fernandes de , Fonseca Olympio Vittor Arcúrio
Published: March 2024

A gestação é um intervalo no qual a alimentação necessita de uma matriz nutricional adequada, que se torna essencial para o devido crescimento fetal. Um estado nutricional desequilibrado tem sido correlacionado com adversidades na gestação e parto. No presente, as dietas vegetarianas estão em ascensão, entretanto, podem acarretar em incrementos de deficiências nutricionais e energéticas. Este estudo busca examinar os dados disponíveis na literatura científica e determinar se o regime alimentar vegetariano tem repercussões na gestação.  Esta é uma análise descritiva da literatura científica, com investigação bibliográfica em plataformas de pesquisa quais sejam: Pubmed, Scielo, Lilacs, BVS entre outros com estudos publicados entre os anos de 2010 a 2021. Foram utilizados critérios de inclusão os seguintes Descritores: “Dieta Vegetariana na Gravidez”, “Dieta Vegana”, “Macronutrientes e Micronutrientes”, “Deficiência Nutricional” e “Desenvolvimento Fetal”, com busca de artigos disponíveis nas línguas portuguesa, inglesa e em espanhol. Portanto, para garantir que as necessidades da mulher grávida sejam atendidas, a adoção de uma dieta vegetariana deve ser planejada e ajustada às demandas fisiológicas da gestante e ao desenvolvimento fetal adequado. É essencial um aconselhamento pré-natal apropriado. Além disso, a literatura sugere uma relação entre deficiências nutricionais e possíveis complicações na saúde da mãe, embora as evidências científicas sejam inconclusivas.
Description of Complementary Feeding Practice and Nutritional Study of Stunted Childern (6 – 24 months) on Wilangan Health Center, Nganjuk District
Authors: Putri Ratih Rani , Buanasita Annas , Taufiqurrahman  , Nugroho Riezky Faisal
Published: March 2024

The prevalence of stunting among toddlers in Nganjuk District is >20%, and it is a nutritional problem in the community. The aim of this research is to determine the description of complementary feeding practices for stunted toddlers (aged 6-24 months) in the Wilangan Sub-district. The research design employed is cross-sectional, where independent and dependent variables are collected at relatively the same time. The study was conducted from November 2022 to May 2023. This is a descriptive study with 28 stunting children as samples using the total sampling method. Data collection of complementary feeding practices was conducted through interviews, while nutritional status by measured height. The study showed less than 50% of infants received exclusive breastfeeding and timely introduction of complementary feeding at 6 months, but more than 60% did not follow the proper principles of complementary feeding between ages 12 - 24 months. As the age increases the inaccuracy of complementary feeding is getting bigger and this affects the occurence of stunting childern. Therefore, its recommended that mothers of toddlers more active in increasing their knowledge about providing appropriate complementary feeding for their children according to their age stages, with the assistance of community health workers and healthcare personnel.
Effect of Balanced Nutrition Education using The Emodemo Method on Knowledge and Attitude of Obesity Adolescents at SMA Negeri 1 Krian Sidoarjo
Authors: Pratiwi Firda Amalia , Buanasita Annas , Christyaningsih Juliana , Hatijah Nur
Published: March 2024

Obesity is a condition of excessive accumulation of body fat tissue which will cause disease. Obesity can be defined as a result of overeating. This study aims to determine the effect of balanced nutrition education using the emodemo method on the knowledge and attitudes. This research is a quantitative Pre-Experimental with the type of pre-test and post-test One Group Design, data collection using questionnaires. The sample of this research is 34 respondents using Proportional Random Sampling technique. Statistical tests used the Wilcoxon Signed Runk Test to determine the effect before and after being given counseling using the emodemo method module game assembling donut rings on the level of knowledge and attitudes about balanced nutrition. The level of knowledge of obese adolescents by 8.8% increased to 85.3%. While the attitude level of obese adolescents was 82.4% increasing to 88.2%. There is an effect of balanced nutrition education using the emodemo method on the knowledge and attitudes of obese adolescents. Schools can provide healthy canteens that provide balanced nutritious meals for adolescents.
ETIKA PELAYANAN ADMINISTRASI DALAM MEWUJUDKAN GOOD GOVERNANCE DI KANTOR DESA KOLAM KECAMATAN PERCUT SEI TUAN KABUPATEN DELI SERDANG
Authors: Ginting Ervan , Sinaga Sondang Ruth Lovenia
Published: March 2024

Abstrak

Etika dalam melaksanakan kegiatan organisasi merupakan hal yang sangat penting dalam setiap kehidupan baik itu dalam kehidupan masyarakat maupun dalam lingkungan pemerintah. Etika sering digambarkan sebagai acuan dalam bertindak terhadap masyarakat. Etika juga dikaitkan dengan ilmu mengenai perilaku manusia dan kesusilaan yang menyangkut norma atau aturan tentang tingkah laku atau sifat baik dan buruk. Etika menjadi acuan bagi para birokrat untuk mengelola pemerintahan agar menuju pemerintahan yang good governance. Etika dalam birokrasi sangat jelas diatur namun dalam kondisi nyata saat ini sangat menjadi keprihatinan (concern). perilaku birokrasi banyak keluar dari aturan yang bukan hanya mempengaruhi lingkungannya namun banyak mempengaruhi budaya kerja yang akhirnya berdampak pada masyarakat. Dalam hal ini, peneliti memiliki tujuan dalam penelitian yaitu untuk mengetahui etika pelayanan administrasi dalam mewujudkan good governance di Kantor Desa Kolam Kecamatan Percut Sei Tuan Kabupaten Deli Serdang. Adapun jenis penelitian dalam penelitian ini yaitu penelitian deskriptif dengan menggunakan metode penelitian kualitatif dan menggunakan teknik pengumpulan data wawancara. Berdasarkan hasil wawancara serta observasi dan pengamatan yang peneliti lakukan selama dilapangan menemukan bahwa para pegawai di Kantor Kepala Desa Kolam, Kecamatan Percut Sei Tuan, Kabupaten Deli Serdang, telah melaksanakan setiap tugas yang diberikan kepadanya secara baik.