bluuebunny/crossref_metadata_2025 huggingface dataset:
Arap Dili Öğretiminde Yüz Yüze ve Uzaktan Öğretimin Değerlendirilmesi
Authors: Kızılkaya Yakup , Cerrah Lokman , Çiftli Murat
Published: May 2024

İletişim teknolojisindeki gelişmelerle birlikte dijital öğretim imkanları çeşitlenmiş ve uzaktan eğitim uygulamaları yaygınlaşmaya başlamıştır. Öğretimin bazı alanlarında sürdürülen uzaktan eğitim uygulamalarının alanı, pandemiyle birlikte genişlemiş ve eğitim uzaktan yapılmıştır. Böylece uzaktan eğitim uygulamaları, eğitim camiası ve toplum tarafından kabul görmeye ve benimsenmeye başlamıştır. Dahası pandemi sürecinde uzaktan eğitim uygulamalarının birçok avantajı fark edilmiştir. Bu nedenle yüz yüze eğitimin yanında uzaktan eğitimin belirli oranda uygulanması benimsenmiştir. İki öğretim modelinin bir arada uygulandığı modele hibrit veya harmanlanmış öğretim modeli adı verilmektedir. Uzaktan eğitim uygulamaları ve hibrit model, Arapça öğretimi alanında da sürdürülmektedir. Bu bağlamda bu çalışma, Arapça öğretimi alanında uzaktan eğitim ve yüz yüze eğitim uygulamalarını, öğrencilerin bakış açısından, Atatürk Üniversitesi İlahiyat Fakültesi zorunlu Arapça hazırlık sınıfı örneğinde araştırmaktadır. Bu araştırmayla birlikte Arapça öğretimi alanında uygulanacak hibrit eğitim modelinin geliştirilmesine ilişkin verilerin ve sonuçların elde edilmesi amaçlanmaktadır. Nitel bir yöntem izlenen çalışmada açık uçlu sorulardan oluşan anket tekniği kullanılmıştır. Öğrencilerden aldıkları eğitimi müfredatın aktarımı, dil becerilerinin kazandırılması, derste kullanılan yöntem, teknik, ölçme, değerlendirme ve etkinlikler bakımından değerlendirmeleri istenmiştir. Çalışmanın özgün yanı, araştırmayı Arapça öğretimi alanında yapmasıdır. Çalışmada elde edilen temel sonuç, dil eğitiminde esas model olarak yüz yüze eğitimin uygulanması, uzaktan eğitimin ise yardımcı model olarak daha çok ders etkinlikleri alanında kullanılması şeklinde ortaya çıkmıştır. Arapça dil becerilerinin geliştirilmesi açısından bu çalışmada ulaşılan sonuçların, dil becerilerini ayrıntılı inceleyecek daha sonraki çalışmalarda kullanılabileceği düşünülmektedir.
ÍNDICES DE SALMONELLA PRESENTES EM OVOS COMERCIALIZADOS NAS FEIRAS DE CACOAL
Authors: Batista Matheus Rocha , Berto Vinicius
Published: May 2024

O ovo é um dos alimentos mais consumidos e comercializados no mundo, por ser rico em proteínas e diversos outros nutrientes. Além disso o ovo contém vitaminas e sais que auxiliam o bom funcionamento do organismo por ser rico em proteínas esse alimento acaba sendo favorável ao crescimento de microrganismos e bactérias, um dos principais patógenos ligado a contaminação do ovo é a Salmonella spp. Este trabalho tem o objetivo investigar a qualidade dos ovos comercializados nas feiras livres da cidade de Cacoal no estado de Rondônia, tendo em vista que esse produto é muito consumido pela população diariamente. A metodologia utilizada foi baseada na portaria SDA - 126, de 03/11/1995 com enriquecimento seletivo e não seletivo e isolamento em placas de Ágar MacConkey, Ágar Verde Brilhante, Ágar Hektoen e/ou Ágar Rambach. As amostras coletadas não apresentaram indícios sugestivos de salmonelas.
Severe hail detection with C-band dual-polarisation radars using convolutional neural networks
Authors: Forcadell Vincent , Augros Clotilde , Caumont Olivier , Dedieu Kévin , Ouradou Maxandre , David Cloe , Figueras i Ventura Jordi , Laurantin Olivier , Al-Sakka Hassan
Published: May 2024

Abstract. Radar has consistently proven to be the most reliable source of information for the remote detection of hail within storms in real-time. Currently, existing hail detection techniques have limited ability to clearly distinguish storms that produce severe hail from those that do not. This often results in a prohibitive number of false alarms that hamper real-time decision-making. This study utilises convolutional neural network (CNN) models trained on dual-polarisation radar data to detect severe hail occurrence on the ground. The morphology of the storms is studied by leveraging the capabilities of a CNN. A database of images of 60 km x 60 km containing 19 different radar-derived features is built above severe hail reports (above 2 cm) and above rain or small hail reports (rain or hail below 2 cm) created for the occasion with the help of a cell-identification algorithm. After a tuning phase on the CNN architecture and its input size, the CNN is trained to output one probability of severe hail on the ground per image of 30 km x 30 km. A test set of 1396 images between 2018 and 2023 demonstrates that the CNN method outperforms state-of-the-art methods according to various metrics. A feature importance study indicates that existing hail proxies as input features are beneficial to the CNN, particularly the maximum estimated size of hail (MESH). The study demonstrates that many of the existing radar hail proxies can be adjusted using a threshold value and a threshold area to achieve similar performance to that of the CNN for severe hail detection. Finally, the output of ten fitted CNN models in inference mode on a hail event is shown.
Disentangling spring-neap SPM dynamics in estuaries
Authors: Dijkstra Yoeri M. , Bouwman Dennis D. , Schuttelaars Henk M.
Published: May 2024

Abstract. Suspended particulate matter (SPM) concentrations in estuaries have been observed to vary strongly over the spring-neap cycle through complex interactions between trapping and re-suspension. However, a systematic framework for analysing the processes causing this spring-neap SPM variability in general is missing. In this study we set-up such a framework, consisting of three tiers. First, by studying the sediment transport capacity, it is identified how the locations of sediment trapping change over the spring-neap cycle. Second, it is studied how the transport capacity affects the sediment stock and bottom pool of sediment. This bottom pool only adapts gradually to the changing transport conditions, incorporating a lag or memory effect. Using a two-timescales analysis it is shown this slow movement of the bottom pool is the leading source of such lag effects. Third, the SPM concentration is explained from an almost instantaneously balanced exchanged between the bottom pool and the water column through re-suspension and deposition. We demonstrate the use of this framework on two model cases implemented in the idealised width-averaged iFlow model: an idealised test case where the sediment dynamics does not affect the water motion and a case representative of the Loire estuary, with strong feedback between sediment and the water motion through sediment-induced damping of turbulence. The first is illustrative as it allows a full understanding in terms of cause-and-effect between water motion, transport and SPM concentration. In the more realistic Loire case, the ETM dynamics cannot be explained in terms of cause and effect, but can explain the trapping locations and timing of maximum concentrations in a systematic way in terms of the governing physical mechanisms.
Assessing the storm surge model performance: What error indicators can measure the skill?
Authors: Campos-Caba Rodrigo , Mentaschi Lorenzo , Alessandri Jacopo , Camus Paula , Mazzino Andrea , Ferrari Franceso , Federico Ivan , Vousdoukas Michalis , Tondello Massimo
Published: May 2024

Abstract. A well-validated storm surge numerical model is crucial, offering precise coastal hazard information and serving as a basis for extensive databases and advanced data-driven algorithms. However, selecting the best model setup based solely on common error indicators like RMSE or Pearson correlation doesn't always yield optimal results. To illustrate this, we conducted 34-year high-resolution simulations for storm surge under barotropic (BT) and baroclinic (BC) configurations, using atmospheric data from ERA5 and a high-resolution downscaling of the Climate Forecast System Reanalysis (CFSR) developed by the University of Genoa (UniGe). We combined forcing and configurations to produce three datasets: 1) BT-ERA5, 2) BC-ERA5, and 3) BC-UniGe. The model performance was assessed against nearshore station data using various statistical metrics. While RMSE and Pearson correlation suggest BT-ERA5, i.e. the coarsest and simplest setup, as the best model, followed by BC-ERA5, we demonstrate that these indicators aren't always reliable for performance assessment. The most sophisticated model BC-UniGe shows worse values of RMSE or Pearson correlation due to the so-called “double penalty” effect. Here we propose new skill indicators that assess the ability of the model to reproduce the distribution of the observations. This, combined with an analysis of values above the 99th percentile, identifies BC-UniGe as the best model, while ERA5 simulations tend to underestimate the extremes. Although the study focuses on the accurate representation of storm surge by the numerical model, the analysis and proposed metrics can be applied to any problem involving the comparison between time series of simulation and observation.
High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
Authors: Hou Chengcheng , Li Yan , Sang Shan , Zhao Xu , Liu Yanxu , Liu Yinglu , Zhao Fang
Published: May 2024

Abstract. High-quality gridded data on industrial water use are vital for research and water resource management. However, such data in China usually have low accuracy. In this study, we developed a gridded dataset of monthly industrial water withdrawal (IWW) for China, which is called the China Industrial Water Withdrawal (CIWW) dataset; this dataset spans a 56-year period from 1965 to 2020 at spatial resolutions of 0.1 and 0.25°. We utilized > 400 000 records of industrial enterprises, monthly industrial product output data, and continuous statistical IWW records from 1965 to 2020 to facilitate spatial scaling, seasonal allocation, and long-term temporal coverage in developing the dataset. Our CIWW dataset is a significant improvement in comparison to previous data for the characterization of the spatial and seasonal patterns of the IWW dynamics in China and achieves better consistency with statistical records at the local scale. The CIWW dataset, together with its methodology and auxiliary data, will be useful for water resource management and hydrological models. This new dataset is now available at https://doi.org/10.6084/m9.figshare.21901074 (Hou and Li, 2023).
Geomorphic indicators of continental-scale landscape transience in the Hengduan Mountains, SE Tibet, China
Authors: Gelwick Katrina D. , Willett Sean D. , Yang Rong
Published: May 2024

Abstract. Landscapes are sculpted by a complex response of surface processes to external forcings, such as climate and tectonics. Several major river captures have been documented in the Hengduan Mountains, leading to the hypothesis that the region experiences exceptionally high rates of drainage reorganization driven by horizontal shortening and propagating uplift. Here we determine the prevalence, intensity, and spatial patterns of ongoing drainage reorganization in the Hengduan Mountains and evaluate the relative timescales of this transience by comparing drainage divide asymmetry for four geomorphic metrics that operate at different spatial and temporal scales. Specifically, we calculate the migration direction and the divide asymmetry index (DAI) for drainage divides using catchment-restricted topographic relief (CRR), hillslope gradient (HSG), normalized channel steepness (ksn), and normalized channel distance (χ). ksn and χ are both precipitation-corrected to account for the strong precipitation gradient across the region. The different spatial scales of these geomorphic metrics allow us to establish the relative timescales of observed landscape transience in the Hengduan Mountains, where local-scale metrics measure short-term change and integral quantities measure long-term disequilibrium. We find a high incidence of strongly asymmetric divides in all metrics across the Hengduan Mountain region. Although the magnitude of asymmetry varies significantly between metrics, possibly due to a combination of metric-specific thresholds and varying proxy relationships with erosion rate, a majority of divides agree on divide migration direction. Agreement in divide migration direction indicates an actively responding landscape when asymmetry is high and a state of quasi-equilibrium when asymmetry is low. Disagreements between the integral quantity, χ, and the other geomorphic metrics can be explained by different timescales of the underlying geomorphic processes, with χ reflecting a long-term response and CRR, HSG, and ksn capturing short-term perturbations to catchment structure. These perturbations include various transient mechanisms, such as differential tectonic uplift or erodibility, glacial alteration, and river captures. Our work confirms the high incidence of drainage reorganization across the Hengduan Mountains and highlights both transient and stable areas in the landscape with high resolution. We also offer valuable insights into the application of geomorphic metrics that can be generalized and applied to the study of landscape transience and drainage divide asymmetry in other settings.
Optical and tactile measurements on SiC sample defects
Authors: Grundmann Jana , Bodermann Bernd , Ermilova Elena , Weise Matthias , Hertwig Andreas , Klapetek Petr , Rafighdoost Jila , Pereira Silvania F.
Published: May 2024

Abstract. In power electronics, compound semiconductors with large bandgaps, like silicon carbide (SiC), are increasingly being used as material instead of silicon. They have a lot of advantages over silicon but are also intolerant of nanoscale material defects, so that a defect inspection with high accuracy is needed. The different defect types on SiC samples are measured with various measurement methods, including optical and tactile methods. The defect types investigated include carrots, particles, polytype inclusions and threading dislocations, and they are analysed with imaging ellipsometry, coherent Fourier scatterometry (CFS), white light interference microscopy (WLIM) and atomic force microscopy (AFM). These different measurement methods are used to investigate which method is most sensitive for which type of defect to be able to use the measurement methods more effectively. It is important to be able to identify the defects to classify them as critical or non-critical for the functionality of the end product. Once these investigations have been completed, the measurement systems can be optimally distributed to the relevant defects in further work to realize a hybrid analysis of the defects. In addition to the identification and classification of defects, such a future hybrid analysis could also include characterizations, e.g. further evaluation of ellipsometric data by using numerical simulations.
Predicting the thickness of shallow landslides in Switzerland using machine learning
Authors: Schaller Christoph , Dorren Luuk , Schwarz Massimiliano , Moos Christine , Seijmonsbergen Arie C. , van Loon E. Emiel
Published: May 2024

Abstract. Landslide thickness is a key parameter in various types of models used to simulate landslide susceptibility. In this study, we developed a model providing improved predictions of potential shallow landslide thickness in Switzerland. We tested three machine learning models based on random forests, generalized additive model, and linear regression and compared the results to three existing models that link soil thickness to slope and elevation. The models were calibrated using data from two field inventories in Switzerland ("HMDB" with 709 records and "KtBE" with 517 records). We explored 37 different covariates including metrics on terrain, geomorphology, vegetation height, and lithology at three different cell sizes. To train the machine learning models, 21 variables were chosen based on the variable importance derived from random forest models and expert judgement. Our results show that the machine learning models consistently outperformed the existing models by reducing the mean absolute error by at least 17 %. The random forests models produced a mean absolute error of 0.25 m for the HMDB and 0.19 m for the KtBE data. Models based on machine learning substantially improve the prediction of landslide thickness, offering refined input for enhancing the performance of slope stability simulations.
Eğitimin Tarihsel Kökleri Bağlamında Öğretmenlik Mesleğinin Eleştirel Düşünme Becerisinin İncelenmesi
Authors: Şen Yasemin
Published: May 2024

Although the need for progressive skills of societies in the historical process is not new, skills such as “creativity”, “critical thinking”, “problem solving”, “cooperation ability, which are sufficient to be in only a small part of societies, are 21. in order to survive in the century, it is considered a kind of “universal literacy” and requires to be addressed in a more comprehensive and systematic way. These skills and competencies are more related to the needs of the developing economic and social development models than the production-based industrial model of the last century, to indicate that 21. they are called century skills and competencies. Economic change, which has been decisive on all economic developments in the world up to the present day and forms the basis of modern society, 18. it is the first industrial revolution that started with machine-based production in the century. Following the first industrialization movement, industrialization has become widespread rapidly with the use of electricity and the transition to mass production in the second industrial revolution. the process called the third industrial revolution, which has witnessed the development of information and communication technologies from the 1970s to the present, has enabled automation and digitization in production. Today, the transition to high technology, the communication of machines with each other via the Internet and increasing digitalization, artificial intelligence and the production of robots constitute the first application examples of the fourth industrial revolution we are in, which is called Industry 4.0. Capturing the opportunities offered by Industry 4.0 with information systems and related technologies depends on the change of the focus of education in parallel with these developments. Key Words: Historical Roots of Education, Teaching Profession, Critical Thinking Skills
Does Cultural Communication Strategy in Metaverse affect International Students’ Mental Health? Moderating effects of Cyberchondria and Healthcare Disparity
Authors: Shafiq Muhammad Nouman
Published: May 2024

The present study examined the mental health of international students through cultural communication strategy in the metaverse with the moderating effects of cyberchondria and healthcare disparity. The relevance of this research study can be made evident with the ongoing trends of today’s world. In the present time, the concept of virtual reality in the metaverse has become one of the most important and debatable topics all around the globe. The concept of metaverse has led to the evolution of the Internet as a whole which can create direct impacts on the real world too. The target country of the current research is China. In order to gather information for the study, the researchers employed a questionnaire technique. A total of 335 surveys were sent out to Chinese medical students; 320 were deemed relevant for the study.  In order to measure the variables using measurement scales, questionnaires are created using various items from the variables. The results obtained after analyzing the questionnaires indicated a significant relationship between cultural communication in the metaverse and the mental health of internal Chinese students from medical universities. The moderating impact of healthcare disparity was found to be significant and the cyberchondria entails an insignificant impact on the cultural communication in the metaverse and the mental health of students. The present study is found to be beneficial in promoting cultural communication between international students and local students for promoting the better exchange of cultural values. The 3D virtual environment used for conducting the present study has also helped in improving communication as well as interactions. However, from the present research study, it was concluded that cultural communication is essential for promoting the mental health of international students as this could be beneficial in obtaining skillful professionals for various businesses. The current study added novelty by focusing on cultural communication in the metaverse but it has prevented the study to focus on many essential aspects which are experienced by international students in the real world.
Interniranje srpskog stanovništva s područja kotara Petrinja u logore Jasenovac i Stara Gradiška svibnja 1942.
Authors: Radanović Milan
Published: May 2024

Na osnovu arhivskih izvora rekonstruirana je internacija srpskog stanovništva iz 12 sela s područja kotara Petrinja u logore Jasenovac i Stara Gradiška u drugoj polovici svibnja 1942. Ukazano je da je internacija posljedica namjere ustaškog rukovodstva da izvrši eliminaciju što većeg broja Srba na prostoru Velike župe Gora, a ne posljedica napada partizana na prugu Sisak — Sunja. Naređenje o provođenju racije i interniranju lokalnih Srba izdao je vojskovođa Slavko Kvaternik. Autor polemizira s nekim ocjenama odnosa vojskovođe Kvaternika prema “srpskom pitanju” u NDH. Skrenuta je pozornost na slabo korištene ili nepoznate izvore koji sugeriraju da je Eugen Dido Kvaternik u to vrijeme bio ključna ličnost u donošenju naređenja o interniranju Srba u logore Jasenovac i Stara Gradiška. Većina stanovnika 12 sela uspjela je umaći ustašama i domobranima, zahvaljujući zaštiti partizana. Internacija je obuhvatila oko 1250 stanovnika, od kojih je najmanje 1056 stradalo u ustaškim i, manjim dijelom, nacističkim logorima. Većinu žrtava (741) činili su žene i djeca. Najviše su stradali stanovnici Bestrme, Kinjačke i Blinjskog Kuta. Istraživanje je otkrilo identitete 160 dosad nepoznatih žrtava logora Jasenovac i Stara Gradiška.
Rehabilitation of Death Row Inmates in Correctional Facilities in Connection with Law Number 1 of 2023 on the National Penal Code of Indonesia
Authors: Putra Manase , Saragih Yasmirah Mandasari , Zarzani T. Riza
Published: May 2024

There has been a shift in the position of the capital punishment in Indonesia from previously being a principal punishment to an alternative punishment as per Law No. 1 of 2023 concerning the National Penal Code (called KUHP). The new Indonesian Penal Code positions the capital punishment as an alternative with a probation period of 10 (ten) years, which will impact the role of Correctional Institutions as referred to in Law No. 22 of 2022. The methodology of this research employs a normative legal approach, primarily drawing from the National Penal Code and related regulations, as well as court decisions.
The 10-year probation period for death row inmates aims to encourage good behavior among them, thus opening the possibility of changing the form of punishment from the capital punishment to life imprisonment. Data from 2022 shows that death row inmates in Indonesia are distributed across several correctional institutions, with the highest numbers at the correctional facilities in Medan and Nusakambangan, predominantly for drug-related offenses. The shift of the capital punishment to an alternative places central importance on correctional institutions during the 10-year probation period to rehabilitate death row inmates. This rehabilitation process is crucial in determining the execution of the capital punishment, necessitating an effective formulation of rehabilitation to ensure the probation period in correctional institutions is not in vain.

Keywords: Rehabilitation, Death Row Inmates, Correctional Institutions
Superyolo: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
Authors: Garugu Jaswanth Syam Sundar
Published: May 2024

Finding small things quickly and correctly in remote sensing pictures (RSI) is very hard because you need to use strong feature extraction and complex deep neural networks need a lot of computing power. The study introduces SuperYOLO, a novel approach to identifying objects that seeks to achieve a good combination of speed and accuracy in RSI analysis. SuperYOLO uses a multimodal data fusion method to combine information from different data sources in a way that makes it better at finding small items in RSI. This multimodal fusion (MF) process is both symmetric and compact, which makes it easy to combine data. SuperYOLO has an enhanced super-resolution (SR) learning branch in addition to MF. This SR branch lets the model make high-resolution (HR) feature representations, which lets it tell small items apart from the background when the input is low-resolution (LR). This makes recognition much more accurate without adding too much work to the computer. One great thing about SuperYOLO is that the SR branch is only used during training and is thrown away during inference. This method reduces the need for extra computing power, making sure that object recognition works quickly and efficiently. When tested on the well-known VEDAI RS dataset, SuperYOLO does better at accuracy than cutting-edge models like YOLOv5l, YOLOv5x, and YOLOrs. Additionally, SuperYOLO gets this level of accuracy while greatly lowering the model's parameter size and processing needs. Compared to YOLOv5x, SuperYOLO has 18 times fewer parameters and 3.8 times fewer GFLOPs. To sum up, SuperYOLO makes a strong case for choosing between accuracy and speed when it comes to finding small objects in RSI. The model does a better job than other options because it combines multimodal data fusion with assisted SR learning in a way that makes it more efficient and less complicated to use. This big step forward could have big effects in areas like remote sensing, where finding small things accurately is important for many jobs.
Improvement of Voltage profile by Integrating Renewable Generation Units at weak bus locations of the System
Authors: B.Harika
Published: May 2024

The Grid consists of higher rating sources and transmission system that  supports local loads. The grid operates at voltages in the range of 66kV-132kV and transmits power in MW to smaller or longer distance locations. Due to higher rating power system the power quality issues are also more. For our consideration an IEEE 14 bus interconnected system is represented as grid operating at higher rated values. The weak bus of the interconnected system is determined by Fast voltage stability index (FVSI) and load flow analysis using Newton-Raphson method available in MATLAB software. The weak buses are integrated with renewable power generation units like PV plant and wind farm improving the bus characteristics. This paper presents a comparative analysis with and without the RGUs in the system. Improvisation of the parameters like power loss, reduced conventional power consumption, power factor and voltage magnitudes are validated through time domain simulations.
Mobile Robot Navigates Based on Geographical Information Systems
Authors: Hussein Haddam Oleiwi
Published: May 2024

The article focuses on importing geographic data from base maps and is modified in several stages, including correction and geographic reference, designing geographic data and its accurate projections on the map, and others. Since the mobile robot moves using different theories, including the shortest path and overcoming obstacles, the research paper focuses on designing the movement path of the mobile robot through high-definition inspection of the geographic map and drawing the best and shortest path for the robot by integrating the indicated data to be transmitted with a special code written in the C language and within the virtual environment of the program. MATLAB then moves the robot straight to the desired destination and plots its movement on the MATLAB simulation platform to closely inspect how the mobile robot behaves and monitor its movement. From the above, we will briefly explain two works, the first related to the geographical network, and the other related to the mobile robot and its movement on the geographical data of the network.
Parasitoides associados à mosca-das-frutas sul-americana em frutíferas nativas em Santa Catarina, Brasil
Authors: Dos Santos Janaína Pereira , Menezes-Netto Alexandre Carlos , Lins Junior Juracy Caldeira
Published: May 2024

No Sul do Brasil, a mosca-das-frutas sul-americana (Anastrepha fraterculus) é o principal inseto-praga das frutíferas nativas e exóticas. O estudo foi realizado em áreas agrícolas de sete municípios pertencentes à região do Alto Vale do Rio do Peixe, em Santa Catarina, Brasil, no período de 2015 a 2022. Este estudo teve como objetivo avaliar a entomofauna de micro-himenópteros parasitoides associados à A. fraterculus em frutíferas nativas. Uma amostra de 200 frutos de Eugenia involucrata (cerejeira-do-mato), Eugenia pyriformis (uvaieira), Acca sellowiana (‘feijoa’), Psidium cattleianum (araçazeiros amarelo e vermelho), Campomanesia xanthocarpa (guabirobeira) e Campomanesia guazumifolia (sete-capotes) foram coletadas por município e em cada safra agrícola para determinar os índices de parasitismo e a análise faunística das espécies de parasitoides. Foram registradas sete espécies de parasitoides, três da família Figitidae e quatro de Braconidae. A espécie mais frequente foi Aganaspis pelleranoi, apresentando ocorrência constante, muito abundante e dominante na região. Os índices de parasitismo variaram entre 0,2 a 39%, reforçando a necessidade de estudos sobre controle biológico, por conservação e/ou aplicado.
Rezension von: Schlauch, Rudolf, Hohenlohe
Authors: Wunder Gerd , Schlauch Rudolf
Published: May 2024

Hohenlohe. Landschaft und Städte. Mit einer Einführung von Rudolf Schlauch. Frankfurt: Weidlich. 22 S. 48 Fotos, DM 10,80
Editorial: More Practical Gender Research is Needed in Higher Education Leadership and Management
Authors: Maheshwari Greeni , Adams Donnie
Published: May 2024

This Editorial explores the challenges and barriers faced by women in leadership roles within higher education institutions using Bronfenbrenner’s ecological systems theory. This Editorial investigates internal, external, and institutional obstacles hindering women's progression into leadership positions. Gender biases, socio-political traditions, cultural expectations, and institutional norms contribute to the under-representation of women in leadership roles. Additionally, internal factors such as lack of confidence and fear of failure further impede career advancement. Despite these challenges, the editorial highlights the pivotal role of women in shaping leadership standards and underscores the transformative impact of diverse leadership teams. The Editorial advocates for pragmatic scholarly approaches to considering achievement of equal opportunities for women in leadership, emphasising education, progressive workplace policies, mentorship programs, and cultural shifts. By embracing an approach nested in the macro-, meso-, and micro-level environments, a more holistic approach to research aimed at fostering innovative scholarly advancement is encouraged.
O papel da brexanolona no tratamento da depressão pós-parto: uma revisão integrativa
Authors: Santos Gabriela Araújo Costa , Lise Ana Paula de Amorim , Machado Heloísa Nunes , Santos Humberto Müller Martins dos , Cruz Jessíca Reco
Published: May 2024

A depressão é uma condição médica que afeta milhões de pessoas em todo o mundo, seus sintomas incluem sentimentos persistentes de tristeza, desesperança, falta de interesse ou prazer em atividades anteriormente consideradas prazerosas, pensamentos recorrentes de morte ou suicídio, dentre outros.  Nesse sentido, as mudanças psicossociais concomitantemente associadas a fatores endócrinos e genéticos presentes na vida da mulher puérpera são associados a fisiopatologia da depressão pós-parto (DPP), dessa mesma maneira, acredita-se que a alopregnanolona seja um neuroesteróide que ocasiona de forma subjacente esse transtorno, logo, foi desenvolvido uma solução sintética de 5α-alopregnan-3α-ol-20-ona, nomeada de brexanolona (BRX), com o intuito de ser o primeiro medicamento direcionado especificamente para essa patologia. O presente estudo avalia a BRX como terapêutica no tratamento DPP, elucidando os seus benefícios em comparação com o tratamento tradicional, como os com inibidores seletivos da recaptação de serotonina (ISRS), e pesquisas que utilizaram como forma de comparação grupo controle placebo. Trata-se de uma revisão integrativa com delineamento temporal de 2019 a 2024, nas bases de dados Medline via Pubmed, Lilacs e SciELO, a coleta de dados foi realizada entre janeiro de 2023 a março de 2024. Após a avaliação crítica e aplicabilidade dos parâmetros de inclusão e exclusão, foram selecionados 12 artigos e a revisão integrativa foi realizada conforme as normas do PRISMA. Foi possível observar uma maior efetividade no uso da BRX tanto em comparação com os ISRS, quanto em terapias placebo, uma vez que ao utilizar ferramentas médicas facilitadoras para avaliar a gravidade e melhora clínica, os resultados demonstraram rápida eficácia e resposta sustentada da forma sintética de alopregnanolona. As vantagens da BRX incluem seu mecanismo de ação, efeito e rápida resposta terapêutica em comparação aos tratamentos convencionais, além de seus poucos efeitos colaterais e segurança, em decorrência de se tratar de uma medicação administrada em ambiente hospitalar.
The Influence of Internet + on the Development of Tourism and Hotel Industry
Authors: Liu Bo
Published: May 2024

This paper explores the multi-dimensional impact of Internet + on the tourism and hotel industry. At the market level, we observe how Internet Plus is reshaping consumer behavior, leading changes in market demand, and expanding the reach of hotels through online platforms. In terms of business model, Internet + has not only changed the traditional marketing and service methods, but also spawned a new business model and profit point. For example, through big data analysis, hotels can better understand customer needs and provide personalized services. In addition, we have analyzed in detail the rich opportunities and potential challenges brought by the popularization of Internet + technology for the tourism and hotel industry, such as the protection of customer information and the guarantee of service quality. Finally, this study reveals how Internet + acts as a powerful driving force to promote the overall improvement of the tourism hotel industry in innovation, efficiency and service quality, thus achieving the transformation and upgrading of the industry.
NEW ACROPOMATIFORM FOSSILS FROM THE UPPER KUEICHULIN FORMATION (LOWER PLIOCENE), NORTHERN TAIWAN
Authors: PŘIKRYL TOMÁŠ , LIN CHIEN-HSIANG , HSU CHIA-HSIN , LEE SHIH-WEI
Published: May 2024

The Indo-West Pacific is home to a diverse array of modern fish species, and the study of their fossils can provide valuable insights into the origins and evolution of this biodiversity. This report presents rare remains of five individuals of acropomatiform fish, including a semi-articulated skeleton, recovered from the Upper Kueichulin Formation (Lower Pliocene) in northern Taiwan. The fossils are preserved in the form of nodules discovered at the locality known for abundant marine crustaceans and echinoderms. These specimens can be assigned to the family Stereolepididae, based on morphology of the opercle with the presence of two spines, a preopercle characterized by serrations on the posterior margin and denticulations on the ventral margin, and a distinctive skull architecture. Differences in skull morphology distinguish these specimens from other species within the genus and thus are described as Stereolepis arcanum n. sp. Significantly, the species represents the oldest known record of the family globally and stands as the second known fossil representative. This discovery not only enhances our understanding of the palaeobiodiversity of fish fauna in the Indo-West Pacific during the Neogene, but also highlights the importance of further research efforts in this area.
Statistical Optimization of Industrial Processes for Sustainable Growth using Neutrosophic Maddala Distribution
Authors:   Department of Business Administration, College of Sciences and the Human Sciences in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia; Department of Business Administration Department, Administrative Science College, Thamar University, Thamar, Yemen, Fuad Fuad
Published: May 2024

The family of neutrosophic distributions has received considerable attention from the scientific community, due to the flexible parametric form of its probability density function, in modeling many physical phenomena with imprecise information. In this study, we consider a generalization of Singh Maddala distribution for handling fuzzy data sets. This study presents a new research endeavor: quantifying the lifespan of manufacturing enterprises using the Neutrosophic Singh Maddala Distribution (NSMD). This work significantly enhances the theoretical foundations by providing novel formulations for the moments and mode of the NSMD distribution. In addition, it expands the study beyond the traditional Maddala model by examining conventional statistical models. For estimating the unknown parameters, the maximum likelihood estimation has been used in neutrosophic framework. Characterizations are obtained in terms of neutrosophic measures. The assessment of model performance, carried out using the goodness of fit criterion, highlights the superiority of NSMD compared to other models. In the application section, a real data on carbon emission is provided for usefulness of the proposed model.
Anti homomorphism and homomorphism of bipolar valued multi Fuzzy HX-subgroups and it’s normal
Authors:   Department of Applied science, Ajloun collage, Al-Balqa Applied university, P. O. Box 26816, Jordan, Mourad Mourad ,   Taibah University, College of Science, Department of Mathematics, Madinah, Saudi Arabia, Fallatah Ahlam omar
Published: May 2024

In this article, homomorphism and anti-homomorphism bipolar valued multi normal fuzzy HX subgroup of a HX group is studied, discussed and their properties are introduced. The theorems presented in this article are considered a generalization of what has been publishedthrough the concept of fuzzy sets. As the concept of fuzzy sets was introduced by Zadeh in 1965, after that this concept, we expanded into more than one types, intuitionistic fuzzy set, bipolar fuzzy sets, tripolar fuzzy set, and bipolar valued multi fuzzy set are one of this.
Design and experiment of real-time reseeding system for transversal sugarcane planter with seeds pre-cutting
Authors: Li Yang , Li Shang Ping , Chen Cheng , Zheng Chuang Rui
Published: May 2024

The issue of sugarcane seed leakage is one of the practical challenges encountered in the current utilization of sugarcane planting machinery, directly leading to reduced yields in sugarcane fields. This paper addresses the problem of seed leakage in the process of transverse planting of pre-cut sugarcane using theoretical analysis, modeling, simulation, and experimental research. It designs a real-time reseeding system for pre-cut sugarcane transverse planting machines, composed of seed boxes, backup seed rollers, reseeding rollers, and an electronic control system. The real-time reseeding system detects seed leakage on the planting machines seeding chain to control the reseeding mechanism, filling the gaps in the seeding chain with sugarcane seeds. During experimentation, the real-time reseeding system achieved a maximum reduction of seed leakage by 6% in the seeding chain, effectively addressing the issue of seed leakage in pre-cut sugarcane transverse planting machines.
The development history and applications of graphic processing unit and graphics card
Authors: Fang Guoheng
Published: May 2024

Concepts like artificial intelligence (AI) and cryptocurrency have become nowadays hot spots. Graphics cards stand as one of the most important hardware components behind technologies like cryptocurrency mining and artificial intelligence. The rapid advancement of these projects relies on the immense computational power provided by graphics cards. Therefore, an analysis of the development history of graphic cards is essential. This paper primarily investigates the evolutionary journey and application scenarios of graphics cards since the last century. This paper conducts a relevant analysis by collecting historical product information and financial data from leading graphics card manufacturers like NVIDIA, Advanced Micro Devices, and others. This paper finds that the primary applications of graphics cards are currently well-established, and future expansions into other fields would likely build upon existing technologies rather than introducing entirely new ones, like artificial intelligence. However, the future of technology is unpredictable, and making absolute predictions is challenging.
Advancements and future prospects of Gallium Nitride (GaN) in semiconductor technology
Authors: Gao Hengjie
Published: May 2024

Gallium Nitride (GaN) is a semiconductor material distinguished by its exceptional attributes and potential for diverse applications. Characterized by high electron mobility, substantial saturation drift velocity, an extensive forbidden energy band, and remarkable thermal stability, GaN demonstrates versatility in various electronic applications. These include high-frequency power amplifiers, luminous high-brightness Light Emitting Diodes (LEDs), and lasers. Advancements in synthesis techniques, such as gas-phase epitaxy, hydrothermal, and solution methods, have facilitated the production of high-quality GaN thin films. The research on GaNs physical properties encompasses an in-depth analysis of its structure, crystallographic defects, and optical characteristics, alongside investigations into the performance of optoelectronic devices. Future research trajectories are oriented towards developing scalable synthesis methodologies, designing and optimizing energy-efficient devices, and enhancing sustainable and eco-friendly attributes. Nonetheless, challenges persist in the realms of cost efficiency and reliability of GaN materials, necessitating further refinement in design and processing techniques and broadening the spectrum of potential applications. With no doubt, GaN materials exhibit significant potential for future development and are poised to assume a crucial role in the advancement of science and technology.
Clairvoyance: Vision-impaired friendly assistive mobile device
Authors: Chen Yuanhao , Zhan Ziyu
Published: May 2024

Our design is a wearable device that assists the visually impaired to move. Our goal is to enable visually impaired people to travel alone after wearing our designs, helping them reduce the risks they may face when walking out alone. After several iterations of design ideas, our final design mainly relies on two webcams, Jetson TX2 Development board, and six vibrators. These components are installed on a sports vest and a belt. We decided to use visual systems and GPS to predict the trajectory of people and objects, and help users identify the direction of obstacles and achieve the purpose of obstacle avoidance through vibrators at different positions.
Advancements in InAs/GaSb superlattice infrared detectors: Material innovations and optimization techniques
Authors: Li Zhuokai
Published: May 2024

This paper presents a detailed study of the advancements in InAs/GaSb Superlattice (SL) infrared detectors, highlighting the significant progress made in material development and optimization techniques. The research begins with an overview of the historical developments, particularly the emergence of Tape InAs/GaSb binary II superlattice, which has revolutionized Third-Generation Infrared Focal Plane Arrays. A key focus is the optimization of fabrication processes, including temperature control and the V/III beam flux ratio, which are critical for enhancing the quality and efficiency of SL infrared detectors. The paper also explores the selection of superlattice interfaces, crucial for reducing strain and improving infrared absorption. Looking ahead, the study outlines future directions for SL infrared detectors, such as the exploration of new materials, incorporation of quantum well technology, and advancements in miniaturization and integration techniques. These developments aim to increase the stability, sensitivity, and overall performance of infrared detectors.
Optimizing integrated circuits: Design and analysis of an efficient 4-bit absolute-value detector
Authors: Huang Zibin
Published: May 2024

Amidst rapid advancements in the realm of computer science, integrated circuits emerge as pivotal to technological progression, influencing a diverse range of sectors significantly. This study delves into a 4-bit absolute-value detector, a crucial tool in signal detection, which evaluates the magnitude of a given inputs absolute value against a predetermined threshold and conveys the outcome. The paper presents an innovative, optimized design for a 4-bit absolute-value detector, employing CMOS technology. A novel, efficient 3-bit adder is developed and incorporated in the circuit to minimize gate delay and energy usage. By fine-tuning the applied voltage (Vdd) and implementing gate sizing, the delay is maintained at approximately 1.5 times the minimum possible delay, while ensuring low power consumption. The defined parameters for this detector are 145.05 FO4 (0.82V) and 7.23C Eu (0.82V). The design methodologies and strategic insights shared in this paper form a foundational basis for future enhancements in signal processing technologies, potentially driving these fields towards a path of accelerated, robust, and sustainable growth.
Analysis of femur injury of vehicle frontal collision based on knee mapping test
Authors: Wang Jingchen , He Yonglong , Lou Lei , Wang Xu
Published: May 2024

In order to study the risk of dummy knee injuries in frontal collisions of automobiles, by analyzing a large number of knee mapping test data, the collision waveform intensity and the dummy knee risk situation were classified and counted. The influence laws of different characteristic risk points, collision speeds, and belt forces on femur loads were investigated. The results show that the distribution of OLC values at 50km/h is the largest in the range of 29-32g. The crash waveforms of both models are enhanced after speeding up, but the form of enhancement is different.The position where the driver is most likely to become a risk point is the steering column adjustment switch and the steering column cover bolts and brackets. The passenger seat is the transition area of the harder interior trim, and the highest risk point for femur loads exceeding the limit is the steering column adjustment switch. The highest median femur loads under different risk points is the hard corner of the central control screen. The femur loads increases with the increase of collision speed and decreases with the increase of seat belt tension.
Electrical characteristics and reliability of gallium oxide devices study via TCAD simulation
Authors: Rui Botao
Published: May 2024

As the Ga2O3 MOSFET is difficult to prepare and less studied, the use of computers to simulate the device is a great help in research. This paper introduces how to use Silvaco TCAD to simulate Ga2O3 MOSFET, and explores its role in the study of the electrical characteristics and reliability of Ga2O3 MOSFET. It is found that the field plate, medium and fin shape of the device can affect the breakdown voltage and on-resistance respectively, and the reliability of the self-heating effect and switching loss is studied. These experiments prove that TCAD has strong customizability, can accurately simulate the performance of the component, has a guiding role in the experiment and can improve the experiment efficiency. This facilitates further optimization of the electrical characteristics and reliability of Ga2O3 MOSFETs through modification of the device structure, resulting in lower power consumption, heat generation and better durability of electrical devices equipped with Ga2O3 MOSFETs.