bluuebunny/crossref_metadata_2025 huggingface dataset:
Improvement of biocompatibility of high molecular weight poly-3-hydroxybutyrate by blending with its functionalized oligomers
Authors: Boyandin Anatoly N. , Dvoinina Ljublyana M. , Sukovatyi Aleksey G. , Sukhanova Anna A. , Ertiletskaya Natalya L.
Published: January 2024

Oligomers of poly-3-hydroxybutyrate (PHB) were prepared by aminolysis of high molecular weight PHB with ethylenediamine and 1,4-diaminobutane. Polymer-oligomer blends (10, 30, and 50% content of the oligomers) were prepared as films by solution casting. As the content of oligomers increased, a gradual increase in the hydrophilicity of the polymer surface was observed, resulting reflected in the water contact angle decrease from 84° to 72–76°. In addition, a moderate decrease in elongation at break, Young's modulus, and tensile strength for the blends were observed as more oligomer was added to the film. Finally, the viability of NIH-3T3 mouse fibroblasts was higher compared to intact PHB when growing in non-prepared polymer/oligomer mixtures. These findings confirm the benefits of the introduction of a hydrophilic functionalized oligomer into the PHB matrix in terms of improving the biocompatibility of the resulting polymer/oligomer blends.
Fast Times at Buckley High: The Assault on 1980s Nostalgia in Bret Easton Ellis’s The Shards
Authors: Booker M. Keith
Published: January 2024

Bret Easton Ellis, in novels such as Less Than Zero (1985) and American Psycho (1991), has vividly chronicled some of the darkest aspects of American society in the 1980s. It is thus no surprise that his return to writing about the 1980s in The Shards (2023), published amid a wave of nostalgia for the 1980s in American culture, goes strongly against that wave. The novel is set in the fall of 1981, when its narrator/protagonist—one “Bret Ellis”—is a high school senior in Los Angeles. This character (presumably a younger version of the author) goes out of his way to present the lives of his friends and himself as the virtual opposite of the kind of sweet, innocent fare that has been remembered in the nostalgic recollections of the 1980s that have appeared in recent American culture. These lives are driven by meaningless sex, hard drugs, and a popular culture that seems to consist mostly of things such as sex comedies and slasher films. Meanwhile, the debauchery of these teenage characters occurs against the background of a wave of gruesome serial killings that have targeted high schoolers and that is presented as typical of the texture of American life in the early 1980s. This vision of the 1980s, combined with the highly metafictional nature of Ellis’s postmodern narrative, not only provides a vicious rejoinder to the recent wave of 1980s nostalgia in American culture but also illuminates the role of nostalgia in contemporary American culture and politics.
Ultrasound measurement of thoracolumbar fascia deformation v1
Authors: AB Brandl Andreas
Published: January 2024

The authors describe a measurement method for recording the deformation of the thoracolumbar fascia in a clinical setting. Since physiological (e.g. lack of activity, overload or delayed onset muscle soreness) or pathological (e.g. acute or chronic low back pain) conditions restrict the shear capacity of the thoracolumbar fascia, the method should detect differences between such conditions and other (e.g. healthy, normal weight-bearing) states.
“Small Sacrifice for the Greater Good”: Decoding Just Transition in a Chinese Peripheral Region
Authors: Hu Xiaohui , Tang Wu , Zhang Xuliang , Jie Dongzheng
Published: January 2024

The notion of just transition is important and debated in discussions about climate change and low‐carbon shifts. This study aims to refocus on just transition from a spatial perspective. We investigate perceptions in Chun’an, Zhejiang, to redefine just transition beyond Western ideas. Our case offers one key yet under‐explored dimension in the interpretation of justice: spatial scale. First, the green transition of Chun’an can be regarded both as a sacrifice of economy from a local perspective (Chun’an county) and as a valuable social contribution from a broader regional perspective (Hangzhou city area). Second, the multi‐scalar interaction of the transition process shapes the perceptions of justice. It is represented by the growing local tensions between developmentalism and environmentalism. Such a process is aimed at generating a wider scale of well‐being, contributing to a process of/for justice. We argue just transition is about a spatially sensitive process towards (rather than of) justice. In China, realizing transition is the way towards justice, and justice itself is transition in the long run.
Geo-Location Spoofing on E-Scooters; Threat Analysis and Prevention Framework
Authors: YILMAZ Ahmet Saim , CUKURTEPE Haydar , KUGU Emin
Published: January 2024

Geo-location services are widely used by numerous applications and devices. E-scooters have become one of the recent prevalent devices that uses these services. Geo-location services are highly vulnerable to spoofing attacks. Spoofing detection and prevention techniques have been researched for time. Most of the researches have been focused on smart devices such as smartphones, UAVs or other vehicles. Geo-location spoofing also poses significant threats on e-scooters for user security, costs and reliability. In this study, we analyze the location spoofing threats on e-scooter sharing environment and propose a spoofing detection framework. The proposed framework monitors e-scooter’s location and tracks significant changes. The proposed service based framework is able to provide different levels of awareness, and enabled capabilities.
A Modular Multilevel Converter-Based Pulsed Electric Field Generator Design for Electroporation Applications
Authors: ESKİ Övül , ŞAHİN Kemal , ÇETİN Sevilay
Published: January 2024

After a short historical background and mentioning common application areas and different clinical modalities of pulsed electric fields and the phenomena such as electro permeabilization and electroporation are introduced based on the concept of the basic mechanism. Subsequently, pulse generation (PG) and the adapted modular multilevel converter (MMC) topology that is to be covered are introduced including the operating principles and very basic analysis. Finally, performance of the proposed MMC with four half bridge submodules is tested on a prototype built in laboratory. A bidirectional voltage is produced with 80 V amplitude pulsating at 100 kHz operation frequency.
African Vultures Optimization Algorithm-Based Selective Harmonic Elimination for Multi-level Inverter
Authors: BEKTAŞ Yasin
Published: January 2024

Çok seviyeli inverterler (ÇSİ), iyileştirilmiş çıkış dalga formu ve azaltılmış harmonik distorsiyon gibi avantajlarıyla dikkat çekmektedir. Ancak, ÇSİ sistemlerinde hala harmonik sorunu bulunmaktadır. Araştırmacılar, bu sorunu çözmek için seçici harmonik eliminasyonu-darbe genişliği modülasyonu (SHE-PWM) tekniğini kullanmıştır. Ancak, seçilen harmoniklerin ortadan kaldırılması için gereken SHE denklemleri karmaşık ve yoğun hesaplamalar gerektirir. Bu makalede, ÇSİ'lerde SHE denklemlerini çözmek için nispeten yeni bir Afrika Akbabaları Optimizasyonu (AVO) algoritması sunulmaktadır. AVO tabanlı SHE-PWM tekniği, 7, ve 11 seviyeli kaskad ÇSİ üzerinde test edilmiştir. Önerilen algoritma, 0.1 ile 1.0 modülasyon indeksi aralığında uygun çözümler bulmayı başarmıştır. 0.5 ile 1.0 arasındaki modülasyon indeksi aralığında seçilen harmoniklerin başarılı bir şekilde yok edilebildiği ve temel gerilimin %0.5'ten daha az hata ile kontrol edilebildiği gözlenmiştir.
Augmented Reality in Learning Settings: A Systematic Analysis of its Benefits and Avenues for Future Studies
Authors:   Te Herenga Waka - Victoria University of Wellington, Mohammadhossein Nastaran , Richter Alexander ,   Te Herenga Waka - Victoria University of Wellington, Lukosch Stephan ,   University of Canterbury
Published: January 2024

Despite its increasing use in various settings, Augmented Reality (AR) technology is still often considered experimental, partly due to a lack of clear understanding of the benefits of using AR. This study systematically reviews research on the use of AR in learning settings. Our analysis of 93 relevant articles offers 21 benefits related to the learning gains and outcomes of using AR. Our study shows that the positive effects of using AR on learners’ motivation and joy have been well-studied, whereas the effects on independent learning, concentration, spontaneous learning, critical thinking, and practical skills have not yet been examined in detail. Beyond classifying and discussing the benefits of using AR in learning settings, we elaborate avenues for future studies. We specifically point to the importance of conducting long-term studies to determine the value of using AR in learning beyond the initial novelty and exploring the integration of AR with other technologies.
Strengthening Undergraduate Information Systems Education in an Increasingly Complex Computing Disciplines Landscape
Authors:   Western Sydney University, Hol Ana , Richardson Joan ,   Western Sydney University, Hamilton Margaret ,   School of Science (CS & IT) RMIT University Melbourne,, McGovern Jim ,   Western Sydney University
Published: January 2024

There are concerns that even at times when overall computing degree enrollments are increasing, IS bachelor’s degree programs and enrollments continue to decline. IS programs differ from other computing programs in that they include highly interrelated business and technology components. This inherent interdisciplinarity is the source of its value but also one of its challenges. This paper uses the Australian higher education sector as a case study to examine overall computing degree offerings including IS offerings using the ACM/AIS curriculum models and classification of computing disciplines. We find that IS program offerings are indeed trending down and that computing offerings are dominated by Computer Science and Information Technology degrees. IS is not widely present as a “base” discipline, nor is it providing a platform for the integration of new technologies, such as AI and Cyber Security into “business” settings. To strengthen UG IS programs and perceptions, we recommend that higher education providers develop structure and processes that support interdisciplinary UG IS program development and delivery and that professional bodies and curriculum models be revised to reflect and recognize the business outcome focus of IS. These actions, together with clearer messaging around the value of IS competencies, will improve the image of IS.
Construction of long-term fatigue failure criteria for thin-walled laminated shells
Authors:   S.P. Timoshenko Institute of Mechanics of National Academy of Sciences of Ukraine, Kyiv, Maslov B. P.
Published: January 2024

A model and criterion of long-term fatigue failure for thin-walled layered shells is built, taking into account the influence of the type of stress state. The problem of calculating the number of cycles to failure under combined loading is considered. Solutions are built on the basis of the concept of equivalent stresses. The problem of determining local stresses in composites of random structure is formulated within the framework of the second-order nonlinear theory. The solution of the stochastic boundary value problem on determining the stress concentration in a unidirectional composite with a metal matrix (MMC) was obtained. To build a complete system of equations of the second order, the method of successive approximations is used. The parameters of the stress concentration at the boundary of the components are determined. The given examples show the importance of the influence of nonlinear properties on the redistribution of stresses near the fibers. The possibility of predicting the long-term strength of the material is shown. The necessary information about the material for the formulation of failure criteria is the S-N curves for individual components of the combined stresses.
To the computation of the fatigue life of prismatic bars under uniaxial asymmetric bending
Authors:   S.P. Timoshenko Institute of Mechanics of National Academy of Sciences of Ukraine, Kyiv, Plashchynska Alla V. , Romanov Olexander V. ,   S.P. Timoshenko Institute of Mechanics of National Academy of Sciences of Ukraine, Kyiv
Published: January 2024

An alternative approach to solving the fatigue life computing problems for material samples and structural elements under uniaxial asymmetric cyclic loading has been considered. This approach is based on the concept of equivalent stresses, which allows the asymmetric load cycle to be reduced to the equivalent symmetric cycle for the number of fracture cycles. The structure of equivalent stresses is obtained based on the hypothesis of the existence of single isochronous ultimate stress diagrams, which are invariant with respect to the number of cycles to fracture. As basic experiments, to determine the material constants in the original equations, easily reproducible standard tests of smooth samples of the material for short-term strength and fatigue under symmetric and asymmetric bending load cycles are used. Problems of multicycle fatigue analysis of prismatic rods under uniaxial asymmetric bending, considering the influence of mean stress, stress range, and amplitude coefficient, have been solved. Satisfactory agreement of calculation results with experimental data was obtained.
Torsional elastic waves. Some aspects of nonlinear analysis
Authors:   S.P. Timoshenko Institute of Mechanics of National Academy of Sciences of Ukraine, Kyiv, Yurchuk V. M. , Sinchilo S. V. ,   S.P. Timoshenko Institute of Mechanics of National Academy of Sciences of Ukraine, Kyiv
Published: January 2024

The features of the use of boundary conditions in the nonlinear problem of torsional wave propagation for an elastically deformable medium with an external boundary are analyzed. The formulation and wave analysis in the linear (classical) approach are briefly described, since the linear solution is used in the work as a first approximation in the nonlinear approach. The first feature for a torsional wave is a significant complication in the nonlinear approach of the boundary conditions due to the difference between the shape of the boundary before and after the deformation (in the linear approach, the shape of the boundary does not change). The second feature is the significant complication of the mathematical representation of the boundary conditions due to the appearance of additional nonlinear terms. For a torsional wave, it was found that the use of the condition of absence of stresses on the boundary surface (assumption of a free boundary) may not be completely correct.
Visualization of the Assessment of Subjective Well-being of Adolescents
Authors: Zaytseva N.G. , Zaitsev G.O. , Oslon V.N. , Semya G.V.
Published: January 2024

The article describes the capabilities of an information system designed to store and process information obtained by interviewing children in order to obtain adequate data on their subjective well-being using Excel spreadsheets. The calculation blocks of the system allow you to calculate the parameters of subjective well-being. At the same time, all the answers are given to a single five-point system, on the basis of which it is possible to calculate the relative SAT and Z-scores in the future. The inclusion of autofilters allows you to select any regions, educational institutions, groups of children and even a specific teenager, comparing them with each other in terms of the subjective well-being of children. The value that allows you to see deviations from the average value or build ratings is a dimensionless Z-score. Visualization blocks allow you to obtain profiles of relative well-being, taking into account the significance of their parameters, as well as to construct distribution functions for the values of the SB parameters. An illustration of the capabilities of the developed visualization system is the calculation and analysis of data on the subjective well-being of adolescents in Primorsky Krai, the city of Nakhodka, a secondary school and a specific teenager, which allow us to identify areas of well-being and targets for helping adolescents.
The Impact of Violence in Cyberspace on the Subjective Well-being of Adolescents
Authors: Semya G.V. , Zaitsev G.O. , Zaytseva N.G. , Telitsyna A.Y.
Published: January 2024

The article presents the results of an analysis of the relationship between psychological violence in cyberspace and adolescents' assessments of their well-being (subjective well-being – SWB). The sample consisted of three groups of respondents who reported different levels of trolling, online attacks, and the publication of personal information, including of a sexual nature. The conducted study demonstrates that cyber violence disrupts the normalization of life, based on the understanding that one's life is no worse than others. A significant decrease in all SWB indicators occurs in the case of the victim's personalization of violence. Adolescents are most dissatisfied with their safety, consideration of their opinions, internal networks, and social contexts. Reluctance to turn to teachers and psychologists in school leads to the fact that the majority of adolescents – victims of cyber violence – remain without professional assistance, with all the consequences described in the literature on the subject.
Condition monitoring of pitting evolution using multiple sensing
Authors: Tian Zaihao , Wang Shuncai , Merk Daniel , Wood Robert J K
Published: January 2024

Pitting on surfaces is a type of rolling contact fatigue (RCF) occurs in rolling-sliding contacts operating under mixed or boundary lubrication conditions. The early detection of pitting is of great importance due to its potential detrimental effects on the performance and reliability of machinery components, such as rolling element bearings and gears. This research aims to investigate the responses of multiple sensors to the progression of pitting and achieve early detection of pitting initiation. Experiments were conducted on a TE74 twin-disc tribometer to investigate the behaviour of bearing steel discs. Mild wear and pitting fatigue were obtained with specimens of different roughness combinations. During testing, vibration, acoustic emission (AE) and electrostatic (ES) data were recorded, and post-test signal analysis was conducted in both the time domain and frequency domain. After testing, the worn surfaces were examined to determine the mechanisms responsible for specific features seen in the sensor data. The presence of pitting in the near-surface region was observed, and its development was effectively monitored using the employed sensing techniques. The stages of running-in, pitting initiation, and pitting formation were identified through the analysis of time-domain parameters and frequency spectrums. Vibration signal analysis exhibited a more prominent indication of pitting formation, whereas AE and ES methods demonstrated an ability to detect the onset of pitting at an earlier stage.
Data analysis and fault-finding case study of a 660 MW steam turbine generator set in a power station,
Authors: Malik Zamir A
Published: January 2024

TG2 is a GE 660 MW steam turbine generator unit at Hartlepool power station in North East of England. The unit consists of an HP turbine, an IP turbine and three LP turbines coupled with an alternator and an exciter. Although the unit was previously operating normally and within the established ISO standards, recent reports indicated excessive loading on the barring gear and instances of the barring gear becoming stuck. EDF Energy's central technical organization conducted a comprehensive analysis of the vibration data, including online, barring, run up, and run down data, to determine the root cause of the overloading. The data analysis revealed that the generator NDE bearing (bearing 12) showed signs of tilting, reducing the clearance between the shaft and the bearing and causing friction. This friction was determined to be the cause of the overloading of the barring gear. The generator operates in a pressurized hydrogen environment and changes in pressure during operation and shutdown had a ratcheting effect on the bearing tilt and clearance reduction. The EDF Energy engineering team responded promptly and professionally, documenting the issue, raising awareness among operations, and implementing a recovery plan.
Machine learning explanations by design: a case study explaining the predicted degradation of a roto-dynamic pump
Authors: Amin Omnia , Brown Blair , Stephen Bruce , McArthur Stephen , Livina Valerie
Published: January 2024

The field of explainable Artificial Intelligence (AI) has gained growing attention over the last few years due to the potential for making accurate data-based predictions of asset health. One of the current research aims in AI is to address challenges associated with adopting machine
learning (ML) (i.e., data-driven) AI ‐ that is, understanding how and why ML predictions are made. Despite ML models successfully providing accurate predictions in many applications, such as condition monitoring, there are still concerns about the transparency of the prediction-making
process. Therefore, ensuring that the models used are explainable to human users is essential to build trust in the approaches proposed. Consequently, AI and ML practitioners need to be able to evaluate any available eXplainable AI (XAI) tools’ suitability for their intended domain and
end users, while simultaneously being aware of the tools’ limitations. This paper provides insight into various existing XAI approaches and their limitations to be considered by practitioners in condition monitoring applications during the design process for an MLbased prediction. The
aim is to assist practitioners in engineering applications in building interpretable and explainable models intended for end users who wish to improve a system’s reliability and help users make better-informed decisions based upon a predictive ML algorithm output. It also emphasizes
the importance of explainability in AI. The paper applies some of these tools to an explainability use case in which real condition monitoring data is used to predict the degradation of a roto-dynamic pump. Additionally, potential avenues are explored to enhance the credibility of explanations
generated by XAI tools in condition monitoring applications, aiming to offer more reliable explanations to domain experts.
Use of digital image correlation and machine learning for the optimal strain placement in a full-scale composite tidal turbine blade
Authors: McLoughlin Jude , Munko Marek J , Valdivia Camacho Miguel A , Cuthill Fergus , Dubon Sergio Lopez
Published: January 2024

One of the challenges testing and health monitoring of large structures represents is getting as much information as possible from a specimen with a limited number of sensors. In this work, a data-driven approach was pursued to decide the optimal location of single-point strain gauges
using machine learning algorithms (MLA) and information from Digital Image Correlation (DIC) measurements. The optimal strain gauge placement was computed for a range of sensor numbers and the presence of sensors in the high-gradient regions was identified. Strain maps of almost 40,000 measurements
were reconstructed successfully with fewer than twenty measured values using the method employed. However, certain loss of image contrast was identified which is likely to have resulted from the treatment of non-numerical values.
A novel printed sparse array for ultrasonic wide area corrosion monitoring utilising machine learning
Authors: McInnes M. , Dick C. , Thring C.B. , Irving D. , Hughes D.A.
Published: January 2024

Corrosion costs industry millions in repairs and inspections every year. Whilst there are many sensor systems designed for corrosion monitoring, no one system can provided the sensitivity and continuous full system coverage required to tackle these costs. Permanently installed ultrasound
transducers are a valuable tool in the progression towards Industry 4.0, however, most only provide single point location data. Guided-wave ultrasound can provide full asset coverage, however there is a trade-off between range and sensitivity. This paper demonstrates a novel sparse array of
sensors capable of detailed corrosion measurement and classification on a sub-mm scale. The density of sensors is made feasible by the easy to install, scalable, printed detection sensors, and so can provide full asset coverage. The complexity of the guided wave interpretation is simplified
by the application of machine learning techniques, demonstrating key progress to Industry 4.0, demonstrating the capability for an automated early warning system against hidden corrosion.
An intelligent knee joint force tracking and balancing system using ANN
Authors: Noroozi S. , Al-Nasser S. , Aslani N , Harvey A.
Published: January 2024

The knee joint is a complex joint in the body. It is one of the most active joints in the body. It also experiences some of the most extreme loads encountered during walking, running, jumping, etc. Damage due to arthritis or trauma or sports injuries can often result in Total Knee Replacement
(TKR) surgery where implants are manufactured by a variety of implant manufacturers. Lima, Zimmer, Johnson & Johnson, Stryker, etc areamong many of the companies supplying these implants. The initial tension in the joint is set by the surgeon using feel and touch which has always been
controversial and subjective. It is heavily dependent on the skill and experience of the surgeons and is performed in an artisan fashion. In such cases, surgeons rely upon their natural haptic feedback to decide if the initial tension is adequate. Depending on the size of the patient’s
limbs or the doctor, these settings can vary substantially. Currently, there is no unique tool that can tell surgeons what the actual tension in the tendons or contact force in the joint is in terms of Newton's force and if the compartmental forces are balanced or not. The intensity of
this load plus the additional force during walking or running will dictate the ultimate load the new knee joint had to handle. Poor load balance during surgery can result in premature failure of the knee due to excess wear or fracture of the bones or dislocation. Surgeons are longing for a
load transducer that can measure and track the joint surface contact point during the surgery and give real-time information about contact forces and their location at any position or orientation of the knee joint. This paper examines two of the existing sensors through publications and proposed
one that appears to be the most suitable.
Geospatial Liquefaction Modeling of the 2023 Türkiye Earthquake Sequence by an Ensemble of Global, Continental, Regional, and Event-Specific Models
Authors: Asadi Adel , Sanon Christina , Cakir Elife , Zhan Weiwei , Shirzadi Hooman , Gaskins Baise Laurie , Onder Cetin Kemal , Moaveni Babak
Published: January 2024

A global geospatial liquefaction model (GGLM-2017) was previously developed (Zhu et al., 2017) using logistic regression (LR) and is currently used by the U.S. Geological Survey as the preferred liquefaction model to map liquefaction probability immediately after the occurrence of earthquake events. This research proposes an ensemble modeling approach to improve the performance of the GGLM-2017 for geospatial liquefaction modeling of the 2023 Türkiye earthquakes using an updated inventory of liquefaction occurrence locations in Europe (the OpenLIQ database, which includes prior events occurring in Türkiye) and a new inventory from the 2023 Türkiye earthquakes (gathered from multiple sources). Using the same geospatial proxies for soil saturation, soil density, and earthquake loading, and the same non-liquefaction sampling strategy used to develop GGLM-2017, the proposed ensemble method is validated on the data of the 2023 Türkiye earthquakes by integrating four models, including global (GGLM-2017), continental (LR model trained on eight European events), regional (LR model trained on three historical events in Türkiye), and event-specific (LR model trained on partially available data from the 2023 Türkiye earthquakes) models. The inventory from the 2023 Türkiye earthquakes is split into two batches, in which the first batch (163 liquefaction occurrences) resulted from the preliminary reconnaissance and is used for training the event-specific model, and the second batch (284 liquefaction occurrences) resulted from a more complete reconnaissance (which was made available later) and is used for validating all models. The rationale for using the first batch for training the event-specific model is to exploit the information as they become available to optimize the performance of global model in liquefaction prediction. The final ensemble probability assignment is done by averaging the probabilities derived by the four individual models, and a 50% threshold is used for classification accuracy evaluations. Comparative analysis of the ensemble model’s performance with the GGLM-2017 showed improved predictive accuracy, resulting in higher liquefaction detection for the specific event under study (the 2023 Türkiye earthquakes). The ensemble model also provides an estimate of model uncertainty.
Application of GK17 Ground-Motion Model to Preliminary Processed Turkish Ground-Motion Recordings Dataset and GK Model Adjustment to the Turkish Environment by Developing Partially Nonergodic Model
Authors: Graizer Vladimir
Published: January 2024

The global ergodic GK17 (Graizer, 2018) ground-motion model developed using the Next Generation Attenuation-West2 database (Ancheta et al., 2014) for the active crustal regions (ACRs) was applied to the dataset of recordings from the two largest moment magnitude Mw 7.8 and 7.5 earthquakes in Türkiye (Buckreis et al., 2023a). The GK17 model demonstrates acceptable performance while mostly underpredicting spectral accelerations (SAs) at near-fault up to ∼100 km and far-field more than ∼400 km rupture distances for periods T < 1 s. The GK17 model was modified by applying additional Rrup distance and VS30 residuals corrections, creating an updated GK nonergodic model tuned for Türkiye called the GK_T model. After varying anelastic attenuation of SAs QSA, it was concluded that the average for the ACRs value of QSA=120 produces the best results. Comparisons of the model site amplification functions (SAFs) show that the GK_T SAFs are lower compared to the GK17 model. The Türkiye-specific GK_T partially nonergodic model shows better agreement with the recorded data than the ergodic GK17 model, especially at short periods and short rupture distances. As expected, application of the Türkiye-specific model results in a lower sigma. It is also lower than the within-event sigma of the GK17 model, except for the period range of 1.5 < T < 3 s. Improvements to the GK_T model can be expected with an addition of deep sediment (basin depth) information to the current dataset and other earthquakes in the region.
Dapatkah Sistem Informasi Akuntansi Meningkatkan Kinerja Manajerial dimediasi oleh Kepuasan Kerja?
Authors: Rustiana Siti Hamidah , Delima Putri , Sulhendri Sulhendri
Published: January 2024

Latar Belakang: Di era globalisasi saat ini, organisasi keuangan dan perbankan menghadapi tantangan yang terus berkembang di pasar global mengenai retensi, kepuasan pelanggan, komitmen, keterlibatan, layanan yang tepat, dan kepercayaan karyawan mereka. Karena industri perbankan sangat bergantung pada interaksi pelanggan-staf yang kuat, pengukuran kepuasan kerja karyawan menjadi masalah yang sangat penting. Kepuasan kerja telah menjadi tujuan utama organisasi, karena produktivitas karyawan dan profitabilitas perusahaan bergantung pada seberapa termotivasi karyawan dalam melakukan bagian mereka. Temuan empiris mengungkapkan bahwa ada dampak langsung Sistem Informasi Akuntansi (SIA) pada profitabilitas perusahaan secara keseluruhan selama pandemi COVID-19. SIA akan menghasilkan penghematan biaya yang substansial, membantu membuat proses lebih nyaman dan efisien, mengurangi kesalahan manusia. SIA mendorong produktivitas, kualitas kerja, dan efisiensi karyawan selama pandemi COVID-19. SIA memungkinkan karyawan untuk meningkatkan produktivitas mereka, terutama dengan jarak sosial pandemi. Temuan lain menunjukkan bahwa SIA meningkatkan efektivitas karyawan. Tujuan: Tujuan dari penelitian adalah menguji kembali pengaruh SIA terhadap kinerja manajerial dimana kepuasan kerja sebagai pemediasi.Metode Penelitian: Pendekatan yang digunakan dalam penelitian ini adalah kuantitatif dengan sampel berjumlah 115 karyawan Bank BNI dari berbagai tingkatan manajemen. Analisis yang digunakan adalah SEM-PLS. Hasil Penelitian: Hasil menunjukkan bahwa kepuasan kerja dan SIA berpengaruh positif terhadap kinerja manajerial, SIA juga memiliki pengaruh positif secara langsung terhadap kepuasan kerja. Sedangkan, hasil hipotesis mediasi menunjukkan kepuasan kerja memediasi secara parsial terhadap hubungan SIA dan kepuasan kerja. Keaslian/Kebaruan Penelitian: Penelitian ini menjawab kesenjangan penelitian terdahulu terkait kepuasan kerja sebagai pemediasi pengaruh sistem informasi akuntansi terhadap kinerja manajerial.
Innovación social en el manejo de los recursos hídricos: transformación de conflictos y gobernanza adaptativa en el diseño de procesos de gestión colaborativa del agua
Authors: Baytelman Yael Fanny , Cabezas Iturra Nicolás , Muñoz Raúl
Published: January 2024

América Latina y el Caribe (ALC) se caracteriza por aplicar una estrategia de desarrollo que depende de manera notable de la explotación de sus recursos naturales. Debido a que la población de la región aumenta de forma sistemática, la presión sobre los recursos naturales ha tenido un incremento marcado. Si a esto se suman la cantidad creciente de zonas contaminadas, las especies en extinción y la realidad del calentamiento global, que está secando los ríos y derritiendo los glaciares a nivel general, es esperable que la competencia por el uso de estos recursos se haga cada vez más visible. El objetivo del presente estudio es evaluar la importancia de incorporar el enfoque de transformación de conflictos y construcción de paz duradera (TCPD) y el de gobernanza adaptativa (GA) al diseño de procesos colaborativos en la gestión del agua, a partir de la revisión de una serie de experiencias prácticas implementadas en países de ALC y el contraste con los resultados obtenidos, en términos de la gobernanza en sí misma y de su impacto en la gestión del agua, así como extraer lecciones que puedan ser relevantes y específicas para los países de la región. El documento se estructura de la siguiente forma: la sección Marco conceptual presenta, a grandes rasgos, el modelo teórico que respalda la gestión colaborativa como mecanismo de gestión de los recursos comunes, el enfoque de TCPD y los principios fundamentales de la GA; la sección Esquema general y metodología para diseñar un proceso participativo expone un esquema general que integra estos dos enfoques (TCPD y GA) en el análisis y el diseño de procesos colaborativos; la sección Revisión y análisis de experiencias en ALC comprende una revisión alternativa de procesos colaborativos con la inclusión de prácticas asociadas a la TCPD y la GA; la sección Conformación y funcionamiento de organismos colaborativos gestores de cuencas hidrológicas en la región describe brevemente las iniciativas escogidas en cada país para el análisis; la sección Resultados de las experiencias en ALC reúne los resultados de la aplicación de los instrumentos seleccionados; la sección Evaluación y análisis de los casos presentados analiza los resultados y la última sección contiene un resumen y las conclusiones del estudio.
CSPAP Implementation During Student Teaching: Lessons Learned From the Field
Authors: Merica Christopher Barton , Egan Cate A. , Orendorff Karie Lee , McKown Hayley B.
Published: January 2024

In the United States, less than half of adolescents meet national recommendations for daily physical activity (PA). Schools are an integral intervention point for achievement of national PA youth guidelines. To help schools achieve PA guidelines, multicomponent Comprehensive School Physical Activity Programs (CSPAP) were developed. Each CSPAP component works synergistically to help students achieve 60 min of PA per school day. Physical educators are expected to implement CSPAP components in their schools, but little is known about the preservice physical education teacher (PPET) perception of CSPAP training experiences in teacher education. The purpose of this research study was to understand PPET perceptions of implementing a component of CSPAP at the elementary and secondary level during a student teaching course. Undergraduate (n = 5) and graduate (n = 4) physical education majors enrolled in a semester of student teaching were recruited. Data collection encompassed individual semistructured interviews at three distinct phases (N = 25): (a) pre–student teaching, (b) between student teaching school placements, and (c) post–student teaching. Data coding first revealed codes, then categories, and eventually four themes emerged, each with its own subthemes: (a) preparedness, (b) perceived challenges, (c) implementation, and (d) moving forward. Findings indicate PPETs developed confidence, achieved personal growth and self-actualization, perceived career benefit, and gained a desire for implementing CSPAP in the future. Additionally, implementing CSPAP components during student teaching can increase confidence and desire to implement CSPAP in the future. Further research needs to explore if CSPAP experiences during preservice training influence in-service teachers’ CSPAP involvement.
Fächerübergreifender Unterricht beginnt in den Köpfen der Entscheidungsträger: Analyse slowenischer und tschechischer curricularer Vorgaben
Authors: Jazbec Saša , Fuková Petra
Published: January 2024

Der schulische Unterricht wird üblicherweise nach dem Fachprinzip organisiert, im Laufe der Zeit stößt dies jedoch immer mehr an seine Grenzen. Einerseits entstehen ständig neue Bereiche der Wissenschaft, wobei die realisierbare Anzahl der Schulfächer beschränkt bleibt, andererseits kann die heutige globale Welt nur schwer in einzelne Fächer aufgeteilt werden und es bietet sich eher an, sie mehrperspektivisch zu betrachten. Unter Fachleuten wird daher der fächerübergreifende Unterricht längst als eine Form diskutiert, die an Bedeutung gewinnen sollte, und zwar nicht nur aus den oben beschriebenen Gründen, sondern auch, weil die Informationen für Schüler und Schülerinnen dadurch viel realitätsnäher im Kontext erfasst und somit besser verständlich dargestellt werden können. Dieser Beitrag beschäftigt sich in diesem Zusammenhang mit der Implementierung dieser Ideen in curricularen Dokumenten. Als Untersuchungsgrundlage wurden strategische Dokumente und Curricula zweier Länder, Sloweniens und Tschechiens, gewählt, um festzustellen, inwieweit diese Vorgaben die Entwicklung widerspiegeln, wobei im Vorfeld die verschiedenen mit dem Thema zusammenhängenden Termini und Konzeptionen diskutiert und verglichen werden. Im fächerübergreifenden Unterricht wird ein besonderes Augenmerk dem Fremdsprachenunterricht (insbesondere dem DaF-Unterricht) zugewendet, da er im Grunde ein hohes Potenzial dafür bietet.
Fächerübergreifendes Arbeiten und/oder fächerübergreifende Themen? Fremdsprachenunterricht in Norwegen nach Einführung des neuen Lehrplanwerks LK20
Authors: Lindemann Beate
Published: January 2024

In Norwegen wurde im August 2020 ein neues Lehrplanwerk, LK20, eingeführt, das für alle Klassenstufen (Klasse 1 bis 13) und alle Schulfächer drei fächerübergreifende Themenbereiche festlegt. Dabei handelt es sich um Gesundheit und Lebensbewältigung (folkehelse og livsmestring), Demokratie und Staatsbürgerrolle (demokrati og medborgerskap) und nachhaltige Entwicklung (bærekraftig utvikling). Mit Hilfe einer inhaltlich strukturierenden Inhaltsanalyse (Mayring 2000 und 2008, Kuckartz 2012) wird untersucht, wie das Lehrplanwerk diese fächerübergreifenden Themenbereiche und eventuelles fächerübergreifendes Arbeiten definiert, skizziert und erläutert. Auch wird gezeigt, wie es diese Themen mit einzelnen Schulfächern verbindet – oder auch nicht. Besonderer Fokus liegt im Beitrag auf den Fremdsprachenfächern. Am Beispiel des Fachs DaF vermittelt eine Lehrwerkanalyse außerdem erste Aufschlüsse darüber, ob und wie Lehrbuchautor*innen auf fächerübergreifende Themen hinweisen und welche Art von Umsetzung fächerübergreifender Arbeit sie für den DaF- Unterricht vorschlagen. Die Analysen zeigen, dass das Curriculum LK20 übergeordnet die Einführung der fächerübergreifenden Themenbereiche betont. Auch auf das fächerübergreifende Arbeiten mit diesen Themen wird deutlich verwiesen, z. B. dass die Schüler*innen ihr Wissen und ihre Fertigkeiten aus mehreren Quellen erwerben und dabei kooperativ arbeiten lernen sollen. In den Lehrbüchern werden zwar Texte angeboten, die sich den genannten Themenbereichen zuordnen lassen, es fehlen jedoch jegliche Hinweise auf fächerübergreifende Themen und fächerübergreifendes Arbeiten.
Formativno spremljanje drugošolcev pri medpredmetnem sklopu pouka tujega jezika
Authors: Lovrin Metka , Brumen Mihaela
Published: January 2024

Pristop CLIL (ang. Content and Language Integrated Learning) je didaktična paradigma za učenje vsebine in jezika, ki združuje konceptualno in proceduralno znanje ter jezik kot komunikacijsko sredstvo. CLIL je večplasten in omogoča razpon izvajanja v razredu – od t. i. trdega/močnega do mehkega/šibkega CLIL. A CLIL se pri pouku tujega jezika v 1. vzgojno-izobraževalnem obdobju (VIO) v osnovni šoli (OŠ) v Sloveniji še vedno ni uveljavil – kljub didaktičnim priporočilom v učnih načrtih za obvezni predmet in neobvezni izbirni predmet Tuji jezik v 1. VIO OŠ. Namen članka je zato predstaviti primer dobre prakse za vzpodbujanje uporabe pristopa CLIL v 1. VIO v slovenskih osnovnih šolah. V teoretičnem delu članka predstavimo izhodišča za poučevanje po pristopu CLIL z elementi formativnega spremljanja (FS), nato pa rezultate pilotne izvedbe modula medpredmetnega povezovanja spoznavanja okolja in matematike ter tujega jezika, ki smo ga izvedli pri nemščini kot interesni dejavnosti v dveh oddelkih 2. razreda OŠ. Analiza rezultatov anketnega vprašalnika za učence (N = 39) in izvajalkinih zapisov je pokazala, da drugošolci pozitivno zaznavajo, doživljajo in se odzivajo na učenje tujega jezika z medpredmetnimi povezavami po pristopu mehkega/šibkega CLIL, največji izziv FS je jezik.
Factors disrupting supply chain management in manufacturing industries
Authors: Kumar Kanike Uday
Published: January 2024

This paper aims to explore the causes of supply chain management disruptions in the manufacturing sector. Supply chain disruptions have become a major concern for companies globally, posing significant risks to business operations, costs, earnings, and customer satisfaction. This review examines various factors contributing to these disruptions, including natural disasters, raw material unavailability, regulatory changes, technology breakdowns, labor shortages, transportation issues, and political instability. The review encompasses studies and research papers shedding light on the causes of disruptions in manufacturing supply chains. The findings highlight the importance of proactive measures in building resilient supply chains capable of effectively handling disruptions. These measures involve implementing robust risk management plans, strategic investments in technology, and developing collaborative relationships with customers and suppliers. Through these actions, manufacturing companies can enhance their supply chain's ability to withstand disruptions and ensure uninterrupted operations. In conclusion, this review emphasizes the critical importance of addressing supply chain disruptions in the manufacturing sector and advocates for a proactive and comprehensive approach to mitigating their impact. Effective risk management strategies, technology investments, and strong partnerships are key to enhancing the resilience of supply chains and minimizing the negative consequences of disruptions.
Morphometric and Molecular Assessment of Tor putitora and Neolissochilus hexagonolepis Population in Jia Bhoroli river Ecotone Zone, Assam
Authors: Sarmah Raktim , Das Utpal Kumar , Sarma Debajit , Shahi Neetu , Ahmed Parvaiz , Pandey Pramod Kumar , Dutta Rajdeep
Published: January 2024

Background: Ecotones are areas of overlap between different ecosystems, referred to as ‘junction zones or tension belts’, that harbor a distinct collection of organisms. Tor putitora and Neolissochilus hexagonolepis are two threatened Mahseer species which requires urgent conservation attention. Bhalukpung area in the River Jia Bhoroli is an ideal example of an ecotone, as its ecosystem transforms from resembling a foothill river ecosystem to a river floodplain ecosystem. However, studies on threatened fish populations in ecotone zones, which could be used as conservation sites, are lacking. Therefore, the present study aims to generate firsthand information on the relationship between the populations of these threatened fish and their foothill-floodplain river interface ecotone in the Jia Bhoroli River. Methods: The data on water quality, topography was collected for a period of one year from January to December, 2021 along with fish samples. The mahseer species were identified and catch per unit effort (CPUE) was also calculated. Result: Identification of the collected mahseer fish as T. putitora and N. hexagonolepis were confirmed using both morphometric as well as molecular tools. CPUE was found to be 4.3-12.6 for N. hexagonolepis and 4.1-10.3 for T. putitora. The ecotone zone was found to have a thriving mahseer population and ecotones are believed to play a crucial role as a diverse food source for the fish. Conserving Bhalukpong as a designated ecotone site in the Jia Bhoroli River as a fish sanctuary can help to protect their populations. Further research that encompasses all aspects of ecology is recommended for the future.
Intervención digital basada en la atención plena para estrés y ansiedad generalizada en trabajadores universitarios
Authors: Alarcón Rojas Carlos Adríán , López Zavaleta Karen Concepción , Cantell-Rojas María Fernanda , Bruno-Aguirre Guadalupe Victoria , Alvarez Bañuelos María Teresa , Ortiz  León María Cristina
Published: January 2024

Objetivo: Analizar el efecto y la percepción de una intervención digital, basada en atención plena para disminuir el estrés y ansiedad generalizada entre los trabajadores de la Universidad Veracruzana (UV).
Materiales y Métodos: Un ensayo clínico aleatorizado se llevó a cabo con 102 participantes, divididos en un grupo experimental y un grupo control para evaluar el efecto de una intervención a través de WhatsApp, en la reducción del estrés y la ansiedad. El grupo experimental recibió un programa de meditación con el fin de capacitarlos y enseñarles a practicar la atención plena. Se utilizaron las escalas de estrés percibido PSS-10 y del trastorno de la ansiedad generalizada GAD-7 para evaluar el efecto de la intervención. Los participantes expresaron su opinión sobre la intervención mediante entrevistas focalizadas con preguntas estandarizadas.  
Resultados: Se encuentra una disminución en las medianas del nivel de estrés percibido y ansiedad generalizada del grupo experimental entre el momento pre-intervención y post-intervención, con una diferencia estadísticamente significativa, p=0.012 y p=0.013, respectivamente. En el grupo control se visualiza un ligero aumento en dichos niveles y no se identifican diferencias significativas entre la medición basal y final, tanto en estrés como en ansiedad. En el análisis del espectro del discurso, se examinó la categoría de "Usabilidad" y se identificaron diferentes aspectos relacionados con la percepción, participación y recomendación de la intervención.
Conclusiones: se encontró una mejoría estadísticamente significativa en los niveles de estrés y ansiedad generalizada. Se demuestra que, realizar intervenciones en salud pública que involucren la tecnología, es cada vez más adaptable y contribuye al avance del conocimiento dentro del autocuidado de la salud mental entre los trabajadores de la Universidad Veracruzana.
 
Palabras clave: Atención plena; Estrés; Ansiedad; Ensayo clínico.