bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tari Barapan Kebo Sumbawa Barat sebagai Sumber Inspirasi Penciptaan Karya Seni Grafis Cetak Tinggi
Authors: Sangrani Eet , Ponimin Ponimin , Wisesa Agnisa Maulani 
Published: July 2024

Tari Barapan Kebo adalah jenis tari kreasi berbentuk permainan rakyat dari Sumbawa Barat yaitu permainan Barapan Kebo (karapan kerbau). Permainan tersebut dijadikan sebuah tari kereasi oleh Surdianah yang diambil gerakan-gerakan dalam permainan Barapan Kebo. Gerakan yang digunakan dalam Tari Barapan Kebo adalah gerakan khas Sumbawa Barat seperti gerak Ngomek Ngompeng, Merenjang dan Begerik yang telah dikembangkan dan disempurnahkan. Pada penelitian ini penulis menggunakan kesenian Barapan Kebo sebagai objek penciptaan dengan alasan ingin melestarikan kesenian ini melalui karya cetak tinggi, Tujuan penciptaan ini adalah Mendepenelitiankan konsep dan proses karya seni grafis cetak tinggi Tari Berapan Kebo Sumbawa Barat sebagai objek ide penciptaan dan merepresentasikan visual Tari Berapan Kebo Sumbawa Barat menggunakan teknik grafis cetak tinggi. Penciptaan seni grafis cetak tinggi ini menggunakan metode penciptaan milik Gustami yang meliputi tahapan eksplorasi, perancangan dan perwujudan. Kemu­dian tiga tahapan ini dikembangakan oleh penulis agar menyesuaikan proses penciptaan penulis. Hasil karya terdiri dari enam karya yang merupakan grafis cetak tinggi. Hasil karya tersebut berjudul: Ngumang, Ngomek Ngompeng, Barue’, Bagerik, Ngijik, Bakeja. Penulis berharap enam hasil karya tersebut dapat menjadi salah satu sarana dalam pengenalan kesenian lokal dan juga sebagai bentuk pelestarian.
Analyse empirique du potentiel productif et des déterminants de l’efficacité technique des productrices de laitue dans la ville de Korhogo en Côte d’Ivoire
Authors: Kouakou Kouakou Paul-Alfred 
Published: July 2024

L’urbanisation rapide observée en Côte d’Ivoire induit un besoin croissant en produits alimentaires. Dans ce contexte, l’agriculture urbaine et périurbaine de par sa spécialisation en production de fruits et légumes frais suscite beaucoup d’intérêts. L’objectif de cette étude est de faire une analyse diagnostique de la performance technique des productrices de laitue dans la ville de Korhogo en vue d’accroître leur niveau de productivité. Pour ce faire, une enquête a été réalisée auprès de 179 productrices reparties sur six (6) sites : Mongaha, Natio, Petit-Paris, Teguere, Naguin, Koko. La statistique descriptive et la méthode de l’Approche des Frontières Stochastiques ont été utilisées pour l’analyse des données. Des résultats montrent que le scores d’efficacités techniques des productrices sont compris entre 0,28 et 0,91 avec une moyenne de 0,47. L’analyse des déterminants de l’efficacité technique indique que le niveau d’instruction, l’accès à la formation technique et l’appartenance à un groupe d’entraide ou une association agricole influencent significativement et positivement la performance des productrices de laitue.
Alors, l’amélioration du potentiel productif des agricultrices passe par l’initiation des séances de formation et d’information sur les bonnes pratiques agricoles, le regroupement des agricultrices en coopérative ou en groupement informel d’entraide et enfin la promotion de l’alphabétisation en vue de faciliter une meilleure réceptivité des nouvelles techniques de production.
Rapid urbanization in Côte d’Ivoire is leading to a growing need for food products. In this context, urban and peri-urban agriculture, with its specialization in the production of fresh fruit and vegetables, is attracting a great deal of interest. The aim of this study is to carry out a diagnostic analysis of the technical performance of women lettuce growers in the town of Korhogo, with a view to increasing their level of productivity. To do this, a survey was carried out among 179 women growers at six (6) sites: Mongaha, Natio, Petit-Paris, Teguere, Naguin and Koko. Descriptive statistics and the Stochastic Frontier Approach were used to analyse the data. The results show that the technical efficiency scores of women producers range from 0.28 to 0.91, with an average of 0.47. Analysis of the determinants of technical efficiency indicates that the level of education, access to technical training and membership of a self-help group or agricultural association significantly and positively influence the performance of female lettuce growers.
Improving the productive potential of women farmers therefore involves initiating training and information sessions on good farming practices, grouping women farmers into cooperatives or informal self-help groups, and promoting literacy to make them more receptive to new production techniques.
Le Tramway de Québec comme Catalyseur de la Durabilité des Transports Publics et de la Résilience face aux Changements Climatiques : Une revue critique
Authors: Dossa Kossivi Fabrice , Miassi Yann Emmanuel 
Published: July 2024

Entre 1990 et 2016, le transport routier a vu ses émissions de gaz à effet de serre augmenter de 52,3 %, soulignant le besoin urgent de transports publics plus durables pour lutter contre le changement climatique. Cette étude passe en revue la littérature sur le projet de tramway du Québec afin d'évaluer son potentiel pour soutenir des transports publics durables et améliorer la résilience climatique de la province. Sur les 119 articles examinés, 73 répondaient aux critères d'inclusion en utilisant la méthodologie PRISMA. Les études, publiées majoritairement entre 2016 et 2023, portent sur les impacts environnementaux, socio-économiques du tramway et les enjeux associés. L'étude évalue de manière critique le projet de tramway, soulignant son potentiel à améliorer considérablement la mobilité urbaine et la résilience climatique. Pour améliorer l’atténuation du changement climatique, une participation accrue des citoyens à la prise de décision est cruciale. Les promoteurs et les responsables doivent incarner l'écoute, la collaboration, la transparence et la cohérence pour assurer le succès du projet. Merci pour cette suggestion mais on trouve cela pertinent puisque cela fait partie des résultats de la revue systématique.

Between 1990 and 2016, road transport saw a 52.3% increase in greenhouse gas emissions, highlighting the urgent need for more sustainable public transport to combat climate change. This study reviews the literature on Quebec's tramway project to assess its potential for supporting sustainable public transport and enhancing the province's climate resilience. Out of 119 articles reviewed, 73 met the inclusion criteria using the PRISMA methodology. The studies, predominantly published between 2016 and 2023, focus on the tramway's environmental, socio-economic impacts, and associated challenges. The review critically evaluates the tramway project, highlighting its potential to significantly improve urban mobility and climate resilience. Despite the project's benefits, such as environmental, social, and economic gains, societal acceptance remains low, even with substantial government investment and various route proposals. To enhance climate change mitigation, increased citizen participation in decision-making is crucial. Promoters and officials must embody listening, collaboration, transparency, and consistency to ensure the project's success.
Impact of stock market liquidity and external factors on herding behavior in the Amman Stock Exchange
Authors: Aldeki Raneem Ghazi 
Published: July 2024

Purpose — The research investigation was centered on the potential for herding behavior in the Amman Stock Exchange. The major goal of the current investigation is to identify any herding behavior that may occur, including behavior caused by liquidity and global factor drivers (such as oil prices and Fed fund rates).Method — The study employed the quantitative research method. The sample consists of 50 observations from 171 companies, and the data were collected from monthly records spanning January 2019 to March 2023. The Generalized Method of Moments (GMM) and a deductive approach were utilized in the quantitative methodology of this study.Result — At this stage, employing a CSSD regression analysis makes it possible to observe evidence of herding behavior in the left tail. The study also found no evidence suggesting that stock market liquidity affects herding behavior in the right tail during periods of both high and low liquidity. However, it did find evidence indicating that liquidity affects herding behavior in the left tail. The Amman capital market has demonstrated that herding behavior is not significantly influenced by global factors.Practical implications — This study suggests that the Amman Stock Exchange should make information accessible to all investors to encourage them to take an active role in making their own investment decisions.
Typological analysis of community participation for sustainable tourism in Sasak Ende Tourism Village
Authors: Ajie Arief Purnama , Wulandari Lastiani Warih , Isdarmanto Isdarmanto 
Published: July 2024

Purpose — The purpose of this study is to analyze community participation in Sasak Ende Tourism Village in managing and designing sustainable tourism development strategies based on the results of typological analysis of community participation.Method — This study employs qualitative methods utilizing primary and secondary data sources. Data were gathered through observation, interviews, and documentation. We interviewed informants from the Central Lombok Tourism Office, the Managing Secretary of Sasak Ende Tourism Village, and Pujut Regency. Furthermore, triangulation analysis techniques were utilized in this study to assess the validity of the data.Result — Based on the analysis, three levels of community participation were identified in Sasak Ende Tourism Village: material incentive participation, interactive participation, and independent mobilization. Community participation activities in Sasak Ende Tourism Village adhere to socio-cultural, economic, and environmentally sustainable tourism principles. The strategy employed focuses on developing human resources (HR) and preserving Sasak traditional houses. The analysis results in a sustainable tourism development strategy for Sasak Ende Tourism Village based on the typology of participation and the principles of sustainable tourism.Practical implications — This study suggests that fostering various levels of community participation and aligning tourism development strategies with socio-cultural, economic, and environmental sustainability principles can lead to the preservation of cultural heritage and sustainable growth in destinations like Sasak Ende Tourism Village.
Analisis faktor-faktor yang mempengaruhi indeks harga pangan di Indonesia tahun 2000-2023
Authors: Nugroho Farid , Afandi Akhsyim 
Published: July 2024

Purpose – This study aims to explore the factors that influence the food price index in Indonesia
Methods – This study uses ARDL analysis and is conducted using monthly time series data from January 2000 until August 2023
Findings – The result shows that money supply had a positive and significant impact on the food price index in Indonesia both in the short-run and long-run.
Implication – The Indonesian government needs to formulate a policy that resists increasing food prices, especially during sudden spikes in money supply.
Originality – The findings of this research can be used as an additional reference for the stakeholders and policymakers to control the movement of the food price index in Indonesia.

Abstrak
Tujuan – Penelitian ini merupakan sebuah upaya untuk menyelidiki faktor apa saja yang mempengaruhi indeks harga pangan di Indonesia
Metode – Penelitian ini menggunakan analisis ARDL dan menggunakan data time series bulanan dari Januari 2000 sampai dengan Agustus 2023
Temuan – Hasil estimasi ARDL menunjukkan bahwa pada jangka pendek dan jangka panjang jumlah uang beredar memberikan dampak positif dan signifikan terhadap indeks harga pangan di Indonesia.
Implikasi – Pemerintah Indonesia hendaknya dapat merumuskan suatu kebijakan yang dapat meredam kenaikan tingkat indeks harga pangan khususnya pada saat terjadi kenaikan tajam pada jumlah uang beredar.
Orisinalitas – Hasil penelitian ini dapat dijadikan sebagai referensi tambahan oleh pemangku kepentingan dan pembuat kebijakan dalam merumuskan kebijakan terkait indeks harga pangan di Indonesia.
AN ADAPTIVE METHOD FOR BUILDING A MULTIVARIATE REGRESSION
Authors: Pavlov Alexander , Holovchenko Maxim , Drozd Valeriia 
Published: July 2024

We propose an adaptive method for building a multivariate regression given by a weighted linear convolution of known scalar functions of deterministic input variables with unknown coefficients. As, for example, when multivariate regression is given by a multivariate polynomial. In contrast to the general procedure of the least squares method that minimizes only a single scalar quantitative measure, the adaptive method uses six different quantitative measures and represents a systemically connected set of different algorithms which allow each applied problem to be solved on their basis by an individual adaptive algorithm that, in the case of an active experiment, even for a relatively small volume of experimental data, implements a strategy of a statistically justified solving. The small amount of data of the active experiment we use in the sense that, for such an amount, the variances of estimates of unknown coefficients obtained by the general procedure of the least squares method do not allow to guarantee the accuracy acceptable for practice. We also proposed to significantly increase the efficiency of the proposed by O. A. Pavlov. and M. M. Holovchenko modified group method of data handling for building a multivariate regression which is linear with respect to unknown coefficients and given by a redundant representation. We improve it by including some criteria and algorithms of the adaptive method for building a multivariate regression. For the multivariate polynomial regression problem, the inclusion of a partial case of the new version of the modified group method of data handling in the synthetic method proposed by O. A. Pavlov, M. M. Golovchenko, and V. V. Drozd, for building a multivariate polynomial regression given by a redundant representation, also significantly increases its efficiency.
Childhood Parental Deportations, Immigration Enforcement Experiences, and Posttraumatic Stress Disorder Among US-Born Latino Adults, 2021
Authors: Pinedo Miguel , Escobar Christian 
Published: July 2024

Objectives. To examine how having a parent deported in childhood and immigration enforcement encounters relate to posttraumatic stress disorder (PTSD) among a sample of US-born Latinos. Methods. In 2021, a national sample of 1784 US-born Latinos was recruited to complete a questionnaire. The questionnaire elicited data on sociodemographics, mental health, and immigration-related experiences. The dependent variable was past-year symptoms of PTSD. Immigration-related variables included (1) having a parent deported during their childhood, (2) having a (nonparent) family member deported, (3) fear of having a parent or loved one deported, (4) fear of immigration enforcement encounters, and (5) having experienced an immigration raid. A multivariable logistic regression was conducted to examine independent associations between immigration-related variables and PTSD. Results. Having a parent deported during childhood was associated with more than twice the odds of meeting criteria for PTSD symptoms. Having a loved one deported, fearing the deportation of a loved one, and having experienced an immigration raid were all associated with PTSD. Conclusions. It is imperative to better understand the long-term implications of immigration policies in perpetuating health inequities among US-born Latinos. ( Am J Public Health. 2024;114(S6):S495–S504. https://doi.org/10.2105/AJPH.2024.307660 ) [Formula: see text]
Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging
Authors: Liu Wei , Huang Xiaoyu , Chen Cheng , Jiang Rui , Zhang Caiwang 
Published: July 2024

Abstract

Adversarial learning-based image defogging methods have been extensively studied in computer vision due to their remarkable performance. However, most existing methods have limited defogging capabilities for real cases because they are trained on the paired clear and synthesized foggy images of the same scenes. In addition, they have limitations in preserving vivid color and rich textual details in defogging. To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging. QPC-Net consists of a Fog2Fogfree block and a Fogfree2Fog block. In each block, there are three learning-based modules, namely, fog removal, color-texture recovery, and fog synthetic, which sequentially compose dual-path that constrain each other to generate high quality images. Specifically, the color-texture recovery model is designed to exploit the self-similarity of texture and structure information by learning the holistic channel-spatial feature correlations between the foggy image with its several derived images. Moreover, in the fog synthetic module, we utilize the atmospheric scattering model to guide it to improve the generative quality by focusing on an atmospheric light optimization with a novel sky segmentation network. Extensive experiments on both synthetic and real-world datasets show that QPC-Net outperforms state-of-the-art defogging methods in terms of quantitative accuracy and subjective visual quality.
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
Authors: Raphael Marc , Lam Van , Byers Jeff , Robitaille Michael , Kaler Logan , Christodoulides Joseph 
Published: July 2024

Abstract

In principle, AI-based algorithms should enable rapid and accurate cell segmentation in high-throughput settings. However, reliance on large training datasets, human input, computational expertise and limited generalizability, have prevented this goal of completely automated, high throughput segmentation from being achieved. To overcome these roadblocks, we introduce an innovative self-supervised learning method (SSL) for pixel classification that requires no parameter tuning or curated data sets, thus providing a more efficient cell segmentation approach for high-throughput, high-content research. We demonstrate that our algorithm meets the criteria of being fully automated with versatility across various magnifications, optical modalities and cell types. Moreover, our SSL algorithm is capable of identifying complex cellular structures and organelles which are otherwise easily missed, thereby broadening the machine learning applications to high-content imaging. Our SSL technique displayed consistently high F1 scores across segmented images, with scores ranging from 0.831 to 0.876; outperforming the popular Cellpose algorithm, which showed a greater F1 variance of 0.645 to 0.8815, mainly due to segmentation errors. This novel SSL methodology advances segmentation accuracy, requires no curated training imagery or computational expertise and eliminates cloud-based data security concerns, thereby streamlining the process of applying machine learning to large data sets.
Coincidence detection between apical and basal dendrites drives STDP in cerebellar Golgi cells
Authors: Prestori Francesca , Pali Eleonora , Masoli Stefano , Domenico Danila Di , Sorbo Teresa , D'Angelo Egidio 
Published: July 2024

Abstract

Cerebellar Golgi cells (GoCs) segregate parallel fiber (pf) and mossy fiber (mf) inputs on apical and basal dendrites. Computational modelling predicted that this anatomical arrangement, coupled with a specific ionic channel localization, could be instrumental to drive spike-timing dependent plasticity (STDP) at mf-GoC synapses. Here, we have tested this hypothesis with GoC patch-clamp recordings in acute mouse cerebellar slices. Indeed, repeated mf-pf pairing on the theta-band (1 Hz
Quantitative Assessment of Water Scales Impact on the Comprehensive State of Brain Using Virtual Reality
Authors: Zhang Yiming , Li Qingbin , Zhu Xuezhou 
Published: July 2024

Abstract

The aquatic environment has a significant impact on human physical and mental health. In order to accurately and quantitatively describe the direct effects of different water scales on the human brain, this study used virtual reality technology to conduct an immersive experience at different water scales and assessed the comprehensive state of the brain with the collected metrics of electroencephalogram (EEG) and heart rate variability (HRV) of the subjects. The study established a coupling relationship between the relative area of water with flow rate and the comprehensive brain state through Gaussian Process Regression (GPR) model. The classification model was also implemented to predict the different responses to water scales of populations.
Establishment of Post-Inflammatory Irritable Bowel Syndrome Animal Model Following Acute Colitis Recovery
Authors: Jeong Eui Sun , Jung Hye-Kyung , Choi Euno , Yun Kyeongeui , Lee Ayoung , Kim Yung Sung 
Published: July 2024

Abstract

Irritable bowel syndrome (IBS) is a prevalent disorder with an unclear pathophysiology. This study aimed to establish an experimental murine model of post-inflammatory IBS induced by acute severe colitis (acute model) or chronic mild repeated colitis (chronic model) to facilitate IBS analysis. The acute model was induced with 3% dextran sulfate sodium (DSS) for 5 days, followed by a 12-week recovery period. The chronic model involved administration of 0.5% DSS for 5 days, followed by a 5-day resting period, repeated thrice. We conducted comparative analyses to assess inflammation severity, intestinal motility, permeability, visceral hypersensitivity, and microbiome composition. In the acute model, mild leukocyte infiltration was observed, colonic transit time shortened at 12 weeks (P < 0.001), occludin expression decreased (P = 0.041), and inflammatory cytokines and transient receptor potential vanilloid 1 was upregulated in colonic mucosa (P < 0.050). In the chronic model, only mild inflammatory changes were noted. Microbiota analysis in the acute model revealed differences in microbial abundance and compositions (P = 0.001). The acute model effectively induced a post-inflammatory IBS model, characterized by low-grade inflammation that causes gut dysmotility, alters permeability, and increases visceral hypersensitivity with notable microbial composition changes.
Regular Red-Green-Blue InGaN quantum wells with In content up to 40% grown on InGaN nanopyramids
Authors: Dussaigne Amélie , Paillet Colin , Rochat Névine , Cooper David , Grenier Adeline , Vézian Stéphane , Damilano Benjamin , Michon Adrien , Hyot B 
Published: July 2024

Abstract

Full color micro-displays with a pixel pitch below 10 µm are needed for augmented and virtual reality applications. In the native emission approach, high efficiency Red-Green-Blue (RGB) pixels should be reached using monolithically integrated InGaN based micro-LEDs. We report here the growth of high optical quality RGB InGaN/InGaN quantum wells grown on InGaN nanopyramids of diameter less than 1 µm by metal organic vapour phase epitaxy (MOVPE). The nanopyramids are obtained by nanoselective area growth using an in situ patterned epitaxial graphene on SiC as an embedded mask. RGB emissions are measured at different locations on the sample and depend on the size of the InGaN nanopyramids. Advanced correlative analysis conducted on the same transmission electron microscopy lamella reveal an at least fully relaxed In0.13Ga0.87N core and very regular quantum wells emitting in the red range (620 nm) along the pyramid sidewalls with an In content up to 40%.