bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning-Aided Spatial Adaptation for Improved Digital Image Correlation Analysis of Complex Geometries
Authors: Leu Jeffrey , Tong Zixiang , Doty Andrew , Tsimpoukis Solon , Yang Jin 
Published: December 2024

Abstract

Digital Image Correlation (DIC) is a widely used experimental technique for measuring full-field deformations. However, its applicability to samples with irregular geometries, particularly for measuring deformations near sample edges, has been limited. This is because DIC subset windows must be split when their centroids approach the sample edge, and portions of the subset outside the sample region need to be discarded, which often requires significant manual intervention. In this paper, we present a novel machine learning-aided approach that significantly improves the efficiency and speed of DIC post-processing. Our approach begins by utilizing the recently developed Segment Anything Model 2 (SAM 2) to rapidly generate initial masks that delineate regions of interest within the sample. Compared to conventional image segmentation methods, this approach reduces computation time by one to two orders of magnitude. These masks then undergo spatial and temporal refinement to improve accuracy and consistency. The refined masks serve as input for our recently developed SpatioTemporally Adaptive Quadtree mesh DIC (STAQ-DIC) method, which automatically selects regions of interest and generates adaptively refined meshes, particularly around areas with complex geometries. DIC subsets near sample edges or internal voids are automatically split, further improving the accuracy of the resolved displacement fields. Through multiple case studies, we demonstrate the effectiveness of this approach in accelerating and improving DIC analysis for complex geometries. It provides a more efficient and accurate means of measuring deformations in challenging experimental scenarios, while minimizing manual intervention and processing time. Additionally, we provide an open-source code that is freely available to use our approach.
Nickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides
Authors: Lyu Xiang , Jeon Eojin , Seo Changhyeon , Kim Dongwook , Chang Sukbok 
Published: December 2024

Abstract

Herein, we introduce a Ni-catalyzed asymmetric homobenzylic hydroamidation reaction that efficiently addresses the dual challenge of achieving regio- and enantioselectivity in the synthesis of β-(hetero)arylethylamides. By employing a transposed NiH catalysis approach, this method facilitates the formation of key nickel-amido intermediates, enabling migratory insertion into alkenes to produce the desired products. The reaction exhibits excellent functional group tolerance and utilizes simple, readily available starting materials, thereby readily accessing pharmaceutical and natural product frameworks. Notably, the approach was applied to the synthesis of pharmaceutical compounds and natural products, such as Sacubitril and Cipargamin, showcasing its potential to streamline the process with high yields and selectivity. This work underscores the transformative role of NiH catalysis in expanding the toolbox of asymmetric hydroamidation.
Neurobehavioural Deficits, Atherogenic Risk, and Oxido-inflammatory Response in Mice Fed with Combined Sodium Benzoate and Monosodium
Glutamate Supplementation in Normal and High-fat Diets
Authors: Alabi Akinyinka O. , Chimezie Joseph , Asejeje Folake O. , Murtala Akanji A. , Kasumu Emmanuel O. , Oyinloye Elijah O. , Ajayi Abayomi M. 
Published: December 2024

Introduction/Background:
The overuse of food additives and preservatives has become
a source of concern globally due to the inherent risks associated with them. This study
evaluated neurobehavioral performance, atherogenic risk, and oxido-inflammatory response in
mice fed with normal and high-fat diets supplemented with combined sodium benzoate (SB) and
monosodium glutamate (MSG).

Materials/Methods:
Mice were divided into four groups (n=6) and fed with normal diet (ND),
high-fat diet (HFD), ND+MSG+SB, and HFD + MSG +SB, respectively, for 28 days. Neurobehavioral
performance in mice was carried out in an open field, and Y-maze tests were performed.
Serum was obtained to determine lipid profile and atherogenic risk, while brain homogenate was
used to determine oxidative stress, inflammatory markers, and neurotransmitter-related enzyme
activities.

Results:
This study reported that in mice fed with HFD, ND+MSG+SB, and HFD + MSG +SB,
there was a significant (p < 0.05) decrease in explorative activity, an increase in anxiety-like behavior,
as well as decreased memory performance. Malondialdehyde and nitrites levels increased,
while levels of reduced glutathione and antioxidant enzyme activities, catalase and superoxide
dismutase, were significantly reduced. Pro-inflammatory cytokines (TNF-α and IL-6) were significantly
increased in the brains of mice fed with HFD, ND+MSG+SB, and HFD + MSG +SB
when compared with control. Moreover, the activities of acetylcholinesterase increased while
glutamic acid decarboxylase decreased significantly.

Conclusion:
In conclusion, SB and MSG supplementation in diets caused neurobehavioral deficits
in mice, increased atherogenic risk, and upregulated oxidative stress and inflammatory response
in mice brains.
Brain Tumor Classification Using Deep Learning with AdaBound from MR-images
Authors: Khan Naseebia , Sikrant Poornima A. , Vijjapu Anuragh , Chitra D , Kalyani Kapula , Reddy Pundru Chandra Shaker , Samrin Rafath 
Published: December 2024

Aims and Background:
A tumour is a kind of cell that grows uncontrollably and uniformly.
Brain tumors (BT) are one of the leading causes of mortality in humans. In the United
States, almost half of all patients die from primary BT each year. Brain tumors are diagnosed using
electronic modalities. Magnetic resonance imaging (MRI) is one of the most widely used and
popular electronic modalities for tumor detection.

Objectives and Methods:
In this research article, we included classification and optimization, with
categorization using a deep convolution neural network (DCNN) and optimization using the AdaBound
Optimizer (AO). When filtering input pictures, the aim of utilizing DCNN for classification
is to maintain spatial connections. The spatial connection is critical for detecting the tumor-
non-tumor area interface and assessing edge tissues. As a result, it categorizes the input with
a higher likelihood, and for ease of implementation, the AO is utilized. It uses less memory, is
more computationally efficient, and achieves superior nonstationary goals. AO also performs effectively
with large datasets/parameters because of the noisy or sparse gradient requirement.

Results:
Finally, the results show improved accuracy, faster convergence, and better generalization
compared to traditional optimizers. These findings highlight the potential of the model for
more reliable and efficient automated medical diagnosis.

Conclusion:
According to the simulated results, the training accuracy rate of the AO model is
91.17% and 96.87% for 5 and10 epochs, respectively. Relative to the training accuracy of the
SGD optimizer models for 5 and10 epochs is 96.7% and 99%, respectively.
Prediksi tutupan lahan untuk penentuan jangkauan manuver pertahanan darat di Kawasan New Yogyakarta International Airport
Authors: Agustinus A.K.A , Murti Sigit Heru , Suratman Suratman 
Published: December 2024

Dalam konteks militer, kawasan Bandar Udara New Yogyakarta International Airport (NYIA) dapat berfungsi sebagai tempat pertahanan militer (central of gravity) yang dapat memicu perubahan lingkungan strategis pada tahun-tahun mendatang dan berpengaruh terhadap kemudahan manuver pertahanan darat. Tujuan penelitian ini adalah mengetahui prediksi perubahan lahan tutupan dan kemudahan manuver pertahanan darat tahun 2030 dibandingkan dengan tahun 2022 menggunakan metode Cellular Automata-Artificial Neural Network (CA-ANN) untuk menganalisis prediksi tutupan lahan dan Euclidean Distance untuk menganalisis kemudahan manuver. Hasil analisis menunjukkan terjadi perubahan tutupan lahan signifikan di sekitar Bandara NYIA tahun 2014-2022, dengan daerah bervegetasi, lahan kosong dan daerah pertanian terkonversi menjadi bangunan/permukiman. Analisis CA-ANN menggunakan data tutupan lahan 2014 dan 2018 menghasilkan nilai Kappa Coefficient 0,82193 dengan persentase correctness 89,15723% sehingga layak untuk memprediksi tutupan lahan tahun 2030. Pada tahun 2022 dan pada prediksi 2030, sebagian besar kawasan penelitian memiliki manuver pertahanan yang sangat mudah dan mudah, sehingga memperlancar operasi pertahanan darat.
Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation
Authors: Kaminsky Zachary , McQuaid Robyn J , Hellemans Kim GC , Patterson Zachary R , Saad Mysa , Gabrys Robert L , Kendzerska Tetyana , Abizaid Alfonso , Robillard Rebecca 
Published: December 2024

Background
Previous efforts to apply machine learning–based natural language processing to longitudinally collected social media data have shown promise in predicting suicide risk.

Objective
Our primary objective was to externally validate our previous machine learning algorithm, the Suicide Artificial Intelligence Prediction Heuristic (SAIPH), against external survey data in 2 independent cohorts. A second objective was to evaluate the efficacy of SAIPH as an indicator of changing suicidal ideation (SI) over time. The tertiary objective was to use SAIPH to evaluate factors important for improving or worsening suicidal trajectory on social media following suicidal mention.

Methods
Twitter (subsequently rebranded as X) timeline data from a student survey cohort and COVID-19 survey cohort were scored using SAIPH and compared to SI questions on the Beck Depression Inventory and the Self-Report version of the Quick Inventory of Depressive Symptomatology in 159 and 307 individuals, respectively. SAIPH was used to evaluate changing SI trajectory following suicidal mentions in 2 cohorts collected using the Twitter application programming interface.

Results
An interaction of the mean SAIPH score derived from 12 days of Twitter data before survey completion and the average number of posts per day was associated with quantitative SI metrics in each cohort (student survey cohort interaction β=.038, SD 0.014; F4,94=3.3, P=.01; and COVID-19 survey cohort interaction β=.0035, SD 0.0016; F4,493=2.9, P=.03). The slope of average daily SAIPH scores was associated with the change in SI scores within longitudinally followed individuals when evaluating periods of 2 weeks or less (ρ=0.27, P=.04). Using SAIPH as an indicator of changing SI, we evaluated SI trajectory in 2 cohorts with suicidal mentions, which identified that those with responses within 72 hours exhibit a significant negative association of the SAIPH score with time in the 3 weeks following suicidal mention (ρ=–0.52, P=.02).

Conclusions
Taken together, our results not only validate the association of SAIPH with perceived stress, SI, and changing SI over time but also generate novel methods to evaluate the effects of social media interactions on changing suicidal trajectory.
mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps
Authors: Zou Ning , Xie Bo , He Daqing , Hilsabeck Robin , Aguirre Alyssa 
Published: December 2024

Abstract

Background
Informal caregivers of persons living with dementia are increasingly using mobile health (mHealth) apps to obtain care information. mHealth apps are seen as promising tools to better support caregivers’ complex and evolving information needs. Yet, little is known about the types and quality of dementia care information that these apps provide. Is this information for caregivers individually tailored; if so, how?

Objective
We aim to address the aforementioned gaps in the literature by systematically examining the types and quality of care-related information provided in publicly available apps for caregivers of persons living with dementia as well as app features used to tailor information to caregivers’ information wants and situations.

Methods
In September 2023, we used a multistage process to select mobile apps for caregivers of persons living with dementia. The final sample included 35 apps. We assessed (1) types of dementia care information provided in the apps, using our 3-item Alzheimer disease and related dementias daily care strategy framework, which encompasses educational information, tangible actions, and referral information; (2) quality of apps’ care information, using the 11 indicators recommended by the National Library of Medicine; and (3) types of tailoring to provide personalization, feedback, and content matching, which are common tailoring strategies described in the literature.

Results
Educational information was the most prevalent type of information provided (29/35 apps, 83%), followed by information about tangible actions (18/35, 51%) and referrals (14/35, 40%). All apps presented their objectives clearly and avoided unrealistic or emotional claims. However, few provided information to explain whether the app’s content was generated or reviewed by experts (7/35, 20%) or how its content was selected (4/35, 11%). Further, 6 of the 35 (17%) apps implemented 1 type of tailoring; of them, 4 (11%) used content matching and the other 2 (6%) used personalization. No app used 2 types of tailoring; only 2 (6%) used all 3 types (the third is feedback).

Conclusions
Existing dementia care apps do not provide sufficient high-quality, tailored information for informal caregivers. Caregivers should exercise caution when they use dementia care apps for informational support. Future research should focus on designing dementia care apps that incorporate quality-assured, transparency-enhanced, evidence-based artificial intelligence–enabled mHealth solutions for caregivers.
Conflict Resolution in Aceh: A Sociological Study of Ecological Sustainability and Palm Oil
Authors: Zainal Suadi , Ilham Iromi , Fakhrurrazi Fakhrurrazi , Arifin Awaludin , Aulia Faizul 
Published: December 2024

This article aims to explain the complexity of the realities surrounding the resolution of the conflict that occurred in Aceh, Indonesia related to the transformation of the Aceh Darul Islam movement and ecological sustainability in the development of oil palm in Aceh Tamiang Regency. This resolution in the form of oil palm development in Aceh Tamiang was carried out as empowerment of former DI/TII troops to reduce the occurrence of armed conflict in Aceh. On the other hand, the existence of palm oil plantations of former DI/TII troops in Aceh Tamiang raises concern about the reality of the impact of ecological sustainability. This study was carried out using qualitative methods, analyzed using sociological law theory. Data was collected by means of interviews and documentation studies.The results showed that The conflict transformation of the Aceh Darul Islam movement focused on the reintegration of ex-combatants into civil society with an emphasis on social, economic, and political aspects. This process involved economic empowerment, particularly through the oil palm plantation programme, to achieve peace and improve welfare in Aceh. The central government engaged in diplomacy with former DI/TII elites, integrating them in the development of oil palm plantations to maintain stability. Furthermore, it can be asserted that in the perspective of law sociology, the transformation of conflict resolution is the presence of the state that is able to create peace and social harmonisation through ecological sustainability with the release of green land and environmental management. Overall, conflict resolution efforts in the form of economic empowerment, environmental preservation and social order are key elements in building peace and sustainability in Aceh.
Use of Agile Models in Software Engineering: Emerging and Declining Themes
Authors: AY Sevinç 
Published: December 2024

Software engineering is a systematic discipline that covers the creation of a software product at the end of software development processes. Many different models are used in software development processes. The most widely used model today is the Agile Approaches model. Methods that focus on increasing customer orientation and speed in software development projects are considered agile approaches. Agile approaches are used to overcome the limitations of traditional methods such as the waterfall approach and to adapt to constantly changing requirements. Agile approaches increase collaboration in a project team established to develop a software product and contribute to product success by increasing customer satisfaction.
Agile approaches are highly preferred for distributed software development environments and remote teams. The reviewed literature shows that agile approaches increase flexibility and speed of delivery in software engineering projects, but they also bring many difficulties when they are not applied with an expert team in large-scale projects or when they are applied incorrectly. Agile approaches have transformed software engineering processes, prioritizing customer requirements and supporting high quality software development processes. However, factors such as the experience of teams, organizational culture and process management skills are critical for the successful implementation of agile methods. Within the scope of the study, bibliometric analysis was conducted on 1372 data obtained from the Web of Science database. The study provides a roadmap for future applications of agile methods in software engineering.
Dez homens vieram, apenas três retornaram – o artista quando terminal
Authors: Schneedorf José Roberto 
Published: December 2024

A partir do momento em que seus autores se descobrem terminais, as obras dos artistas Felix Gonzalez-Torres, José Leonilson e Pepe Espaliú protagonizam a ficção de suas próprias mortes, enquanto morrem de fato. Despem inferiorizações conceituais ou espetacularizações sobre afeto e partida, para vestir uma iconografia testamentária, autorizada pelo extremo circunstancial: a AIDS oitentista. Legitimam narrativas de grandes questões universais contemporâneas, como direito à vida, senso comunitário, acesso terapêutico, políticas farmacológicas e propriedade industrial. Legam visões de mundo que ajudam a moldar atuais articulações de resistência comunal, tanto às pandemias em si quanto ao biopoder do arbítrio oficial sobre elas. AbstractFrom the moment when those artists discover themselves disillusioned, the Felix Gonzalez-Torres, José Leonilson and Pepe Espaliú artworks featured the fiction of their own deaths, while they are actually dying. Take them off its possible lower connotations and spectacular endowments about sharing and leaving speeches, to put them on a testamentary iconography, authorized by the extremes circumstances: the 1980’s AIDS. Its legitimize narratives of great universal and contemporary issues, such as life rights, common sense, therapeutic access, pharmacological policies and industrial property. Its bequeath worldviews that help to shape present-day communal resistance articulations, both to the pandemics themselves and to the biopower of the government will over them.
Mulheres, Arte e espaço público: uma reflexão sobre o ativismo artístico feminino
Authors: Câmara Rafael Santos , Lopes Juliana Mendonça , Lopes Marina Ferreira Belo 
Published: December 2024

Resumo
A Arte no espaço público tem exercido impacto na paisagem urbana apresentando-se como um motivo de união e cisão, simultaneamente. Essas escritas nos muros carregam, em sua maioria, a denúncia de problemas vivenciados nas grandes cidades. Sendo, portanto, esta análise o caminho necessário para observarmos onde estamos, como também, onde queremos e podemos chegar, visto que os problemas da vida urbana perpassam de diferentes formas pelas fronteiras da relação dialética entre a subjetividade dos moradores e as diferentes intervenções no espaço público. Partimos de uma reflexão sobre a aproximação da mulher nas expressões artísticas urbanas, em um ambiente de rivalidade (e potencial hostilidade), o que torna tais intervenções fundamentais para a saúde psíquica das mulheres nos âmbitos individuais e coletivos exemplificando por meio da análise dos trabalhos de Talitha Andrade e Karen Dolorez, que questionam a condição da mulher a partir de um discurso rico em simbologias históricas e sociais.
Abstract
The Art in public spaces has had a significant impact on the urban landscape presenting itself as a motive of union and division simultaneously. These writings on the walls carry the denunciation of problems experienced in the big cities. Therefore, this analysis is the necessary way to observe where we are, as well as where we want and can reach, since the problems of urban life permeate in different ways by the borders of the dialectic relationship between the subjectivity of the residents and the different interventions in space public. We start from a reflection on the approximation of women in urban artistic expressions, in an environment of rivalry (and potential hostility), which makes such interventions fundamental to the psychic health of women in individual and collective settings exemplifying through the analysis of the works of Talitha Andrade and Karen Dolorez who question the condition of women through a discourse rich in historical and social symbologies.
Da trilha batida à renegação de quase tudo – Entrevista com Regina Silveira
Authors: Teixeira Coelho Netto José 
Published: December 2024

Nesta entrevista, o crítico de arte e professor José Teixeira Coelho Netto (1944–2022) conversa com a artista visual Regina Silveira,indagando-a sobre seu processo criativo e carreira, a partir da amostragem de obras de sua autoria presentes no acervo da Pinacoteca Barão de Santo Ângelo – Acervo Artístico.
Práticas investigativas no Teatro O Bando: perspectivas da observadora outsider e insider
Authors: Pereira Ohanna 
Published: December 2024

O artigo é desenvolvido a partir da análise reflexiva de uma prática de observação vivenciada no ano de 2023 no Teatro O Bando em Portugal. Na ocasião, o grupo teatral O Bando se preparava para iniciar os ensaios do seu próximo espetáculo, Nómadas (2023). O relato tem como objetivo alimentar a gama de metodologias, vocabulários e modos próprios baseados na prática como pesquisa em teatro e se estrutura na perspectiva de observadora-participante (outsider e insider), dois pontos de vista distintos que desencadeiam reflexões acerca das práticas que unem performance-tecnologia e da triangulação fluída entre observar-criar-refletir.