bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Effectiveness of the Stunting Prevention Counseling Training Module on the Knowledge and Attitudes of Health Cadres in the Kinovaro Health Center Work Area
Authors: Tampake Rina , Mangundap Selvi Alfrida , Ra'bung Alfrida Semuel 
Published: November 2023

Background: Stunting is a nutritional growth and development disorder in toddlers which is still a national and global problem. Indonesia ranks 5th in the incidence of stunting in the world. Results of Regional Health Research The prevalence of stunting among children under five in Indonesia has decreased from 37.2% in 2013 to 33.6% in 2016 to 30.8% in 2018. (2,3) Meanwhile, based on SSGBI results in 2019, stunting has decreased to 27.67%. Purpose: This research aims to develop a stunting prevention counseling training module for health cadres. This research is a type of development research (Research and Development) referring to the ADDIE development model including (1) Analysis (Analysis), (2) Design (Design), (3) Development (Development), (4) Implementation (Implementation), (5) Evaluation. The subjects of this research included 3 material experts, 2 media experts, and 30 health cadres in the Kinivaro Health Center work area. Methods: The object of this research is the Stunting Prevention Module Anthology Counseling for Health Cadres. The instruments used to assess the feasibility of the module include a feasibility assessment sheet by a material expert, a feasibility assessment sheet by a media expert, and a health response questionnaire regarding the use of the module. Results: The results of the research show that the Stunting Prevention Module Anthology Counseling for Health Cadres which was developed is suitable for use as a medium in providing stunting prevention counseling for Health cadres to pregnant and breastfeeding mothers based on the overall average aspect score obtained by material experts of 9.35 in the category feasible, the overall average aspect score by media experts was 6.50 in the very feasible category, and the overall average aspect score by health responses to the module was 97.42 in the very feasible category. Results: This research module development stage so it is recommended that this research can be continued on different subjects/samples in order to obtain information related to the effectiveness of the module developed in increasing the knowledge and attitudes of Health cadres in preventing stunting.
SMART HOME IOT: UMA ANÁLISE ACERCA DA REDUÇÃO DO CONSUMO DE ENERGIA ELÉTRICA RESIDÊNCIAL COM DISPOSITIVOS SMART ACESSÍVEIS
Authors: Casagrande Cristiano Gomes , Rodrigues Ana Carolina Caldas , Guimarães Tuanny Cristinny da Cunha 
Published: November 2023

Este artigo faz uma análise a respeito de como o avanço e disseminação da internet culminou em novos padrões de comportamento. Percebe-se que o desenvolvimento de novas tecnologias possibilita o surgimento de produtos com certo grau de inteligência que podem otimizar as tarefas diárias dos indivíduos. Por conseguinte, o novo conceito de smart home apresenta a possibilidade do uso mais eficiente de aparelhos domésticos para economia de energia, por meio de estratégias que colaboram para a eficiência energética sem grandes compromissos financeiros. O objetivo deste artigo é apresentar alguns dispositivos com foco nas smart home que possam ser adquiridos de forma acessível financeiramente, ou seja, com baixo custo e que não exijam um sistema de instalação complexo, como demais automações que elevam o custo final do produto. O trabalho partiu da pesquisa bibliográfica e documental com base nas seguintes temáticas: internet das coisas, smart home, eficiência energética e sistemas e dispositivos. Além disso, foi realizada uma busca mercadológica por tecnologias e produtos inteligentes comercializados no Brasil, com baixo custo e de fácil instalação. O principal resultado desta pesquisa expõe alguns dispositivos que podem auxiliar na redução do consumo de energia e que se apresentam acessíveis no mercado com valores variáveis de acordo com marca e modelo. Posto isso, nota-se a viabilidade de adotar novas estratégias nas residências brasileiras, a partir dos dispositivos mencionados para corroborar com políticas governamentais que incentivem a eficiência energética, com o intuito de fortalecer um dos objetivos do desenvolvimento sustentável da ONU, produção e consumo responsáveis.
CONSIDERAÇÕES A RESPEITO DO ESTATUTO LEGAL NO CASO DA COMUNIDADE DA RUA MONSENHOR RUBENS MESQUITA, SALVADOR - BA
Authors: Bahia Adriana Teixeira , Luz Vera Santana 
Published: November 2023

Este artigo é desdobramento da pesquisa de doutorado em desenvolvimento. No texto que segue, retratamos o objeto de estudo, a Comunidade da Rua Monsenhor Rubens Mesquita, Salvador – BA, a partir do estatuto legal, tendo também como foco a discussão do direito à moradia e à cidade. A Rua estudo de caso vive, desde 2018, um processo de reintegração de posse. Os moradores que ali habitam estão sendo expulsos em prol da construção de um Shopping Center. De modo a alcançarmos os objetivos propostos, investigamos a legislação urbanística no âmbito federal e municipal, especialmente as que incidem sobre o território, como o Plano Diretor de Desenvolvimento Urbano de Salvador de 2016, que classifica esse espaço como uma Zona de Interesse Social (ZEIS) e a Lei de Ordenamento do Uso e da Ocupação do Solo. A determinação do estudo de caso como ZEIS nos leva à discussão da capacidade dos instrumentos legais em serem efetivos no que tange ao espaço urbano, em suas determinações. Como processo metodológico, de caráter indutivo, levanta-se, a partir do estudo de caso e referências documentais, uma indagação a respeito da dicotomia recorrente entre o estatuto legal e o estatuto da realidade, como contribuição para a compreensão das contradições que envolvem as decisões que pautam o futuro das nossas cidades.
Geochronology, Petrogenesis and Tectonic Setting of the Late Triassic syenite porphyry from the Western Part of the North Qinling Orogenic Belt
Authors: Li Shuqin , Li Zuochen , Pei Xianzhi , Lin Hao , Qin Li , Ji Shang , Yang Yajie , Ren Jinghong 
Published: November 2023

Precise determination of the tectonothermal events at the Qinling-Qilian junction is extremely significant for understanding the tectonic evolution of the eastern branch of the Paleo-Tethys. The Banpo porphyry outcrops in the northern margin of the North Qinling were chosen as the research subject, and its formation and tectonic environment were analyzed using Zircon U-Pb age estimation and geochemical studies. The results indicated the final stage of the Triassic orogeny and the closure phase of the Paleo-Tethys. The weighted average values of 206Pb/238U ages of samples from 3 sites of the Banpo porphyry corresponded to 213.4 ±2.1 Ma (MSWD = 0.56), 213.0 ±1.6 Ma (MSWD = 0.92), and 213.2 ±4.4 Ma (MSWD = 1.6). This study revealed that the Banpo porphyry was formed during the Late Triassic (Norian). The porphyry with high SiO2 and high alkali is typical A-type granite, which belongs to the weak peraluminous shoshonite series. All the samples are rich in low rare earth elements. However, the heavy rare earth elements are low, especially Eu, which exhibits a seagull-type right-leaning partitioning curve. In addition, based on the regional geological data, it can be concluded that the Banpo porphyry was formed during the transition period from a post-orogenic environment to a non-orogenic environment. This study indicated the closure of the Paleo-Tethys-Mianxian-Lveyang Ocean by the Late Triassic as well as the completion of the collision between the North China and Yangtze Blocks along the Qinling orogenic belt.
Fluid Regime of Crystallization of the Calcite–Quartz Carbonatitoids of the Murun Massif
Authors: Sotnikova I.A. , Borovikov A.A. , Kolotilina T.B. , Alymova N.V. 
Published: November 2023

Abstract
—Primary melt and fluid inclusions in quartz and dalyite of calcite–quartz carbonatitoids of the Murun massif have been studied. They contain CO2, N2, CH4, C2H6, C3H8, H2, and H2S as well as sulfates and hydrocarbonates as solid daughter phases. The inclusion solutions contain HS- and chlorides. In addition, disordered carbon and bitumen are present. It is concluded that the magmatic fluid phase that was in equilibrium with quartz was characterized by a predominantly H2O–CO2–H2S composition and a reduced state. This explains the appearance of sulfides at the magmatic stage of crystallization of calcite–quartz carbonatitoids of the Murun massif. We substantiate the hypothesis that the sulfates, hydrocarbons, and H2 detected in the inclusions form at decreasing temperature as a result of shift of the redox equilibrium.
An Exploration of Multimodality and Data Augmentation for Dementia Classification
Authors: Lin Kaiying , Washington Peter 
Published: November 2023

Abstract
Dementia is a progressive neurological disorder that profoundly affects the daily lives of older adults, impairing abilities such as verbal communication and cognitive function. Early diagnosis is essential for enhancing both lifespan and quality of life for affected individuals. Despite its importance, diagnosing dementia is complex and often necessitates a multimodal approach incorporating diverse clinical data types. In this study, we fine-tune Wav2vec and Word2vec baseline models using two distinct data types: audio recordings and text transcripts. We experiment with four conditions: original datasets versus datasets purged of short sentences, each with and without data augmentation. Our results indicate that synonym-based text data augmentation generally enhances model performance, underscoring the importance of data volume for achieving generalizable performance. Additionally, models trained on text data frequently excel and can further improve the performance of other modalities when combined. Audio and timestamp data sometimes offer marginal improvements. We provide a qualitative error analysis of the sentence archetypes that tend to be misclassified under each condition, providing insights into the effects of altering data modality and augmentation decisions.
Long-term outcomes of stereotactic ablative brachytherapy for recurrent aggressive fibromatosis: an eight-year retrospective multicenter study
Authors: Chen Yi , He Chuang , Yan Xiaofei , Ji Zhe , Jiang Yuliang , Sun Haitao , Li Yue , Huang Xuequan , Wang Junjie 
Published: November 2023

Abstract

Background Aggressive fibromatosis (AF) was characterized by a high potential of recurrence even following initial definitive treatment. There were considerable controversies regarding the management of recurrent AF. This study aimed to explore the long-term outcomes of iodine-125 (I-125) seed stereotactic ablative brachytherapy (SABT) for recurrent AF. Methods A multicenter retrospective study reviewed 38 recurrent AF patients receiving I-125 seed SABT from July 2013 to July 2021.The clinical outcomes including overall response rate (ORR), disease control rate (DCR), local control time (LCT), overall survival (OS), adverse events (AEs), and symptom relief rate were statistically assessed. Results The ORR and DCR reached 76.3% and 100.0% respectively. The 3-, 5 and 9-year LCT rates were 81.0%, 68.6% and 62.3% respectively. The 3-, 5 and 9-year OS rates reached 94.5%, 84.8% and 60.4% respectively. Multivariate analyses showed that smaller tumor volume and higher dose were significantly positive prognostic factors of LCT (P = 0.034, P = 0.047). Prognostic factors of OS were not found. 20 (52.6%) patients presented with various symptoms at diagnosis, of which 90% (18 patients) achieved complete or partial relief after SABT. The AEs were generally graded ≤ 1 and well-tolerated. Conclusions SABT was an effective and safe alternative treatment for recurrent AF with high safety.
Bioinformatics analysis and initial validation of potential therapeutic targets for COVID-19 infection in osteoarthritis patients
Authors: Mao Shuming , Lou Chao , Ma Runxun , Wang Peiran , Liu Haixiao , Yang Lei 
Published: November 2023

Abstract

Background
The emergence of severe coronavirus disease 2019 (COVID-19) and its ensuing complications presents a substantial challenge to human safety. Osteoarthritis (OA) stands as the most common degenerative joint disease, while the intricate molecular relationship between OA and COVID-19 remains enigmatic. In this investigation, we employed systematic bioinformatics analysis to uncover the underlying molecular mechanisms associated with these two diseases. Additionally, we identified potential therapeutic drugs with the potential to aid in the treatment of patients afflicted with both COVID-19 infection and osteoarthritis (OA).
Methods
Datasets for both COVID-19 and OA were sourced from the GEO database. Subsequently, a differential expression analysis was executed to procure Differentially Expressed Genes (DEGs). Co-expressed genes shared between OA and COVID-19 were identified through the intersection of differential gene sets, employing a Venn diagram. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by Metascape. The hub genes were identified through protein-protein interaction (PPI) analysis carried out in Cytoscape, and their validity was subsequently affirmed through brief experiment. Finally, transcription factor-gene interactions, microRNA (miRNA) candidate identification and drug candidate identification were identified by co-expression of genes.
Results
A total of 94 co-expressed DEGs were obtained. GO and KEGG enrichment analysis of DEGs showed that they mainly affect inflammation, cytokine and immune-related functions, and inflammation-related signaling pathways. Through the analysis of the PPI network, we obtained 9 hub genes, and validated them with brief experiments. In addition, the top ten drug candidates ranked by P-value were screened, which may exhibit potential for providing therapeutic benefits in the context of treating individuals affected by both COVID-19 infection and OA.
Conclusion
This study reveals a shared molecular mechanism between osteoarthritis (OA) and neocoronary pneumonia. Additionally, it clarifies potential mechanisms linked to synovial lesions in both neocoronary pneumonia and osteoarthritis. These shared pathways and hub genes might offer insights for future investigations.
Analysis of EUR to USD Exchange Rates with Uncertain Time Series Model and Uncertain Differential Equation
Authors: Hao Xuguang , Wu Nanxuan , Li Hao 
Published: November 2023

Abstract
As a crucial theory and method to analyze and interpret data in practice by means of uncertainty theory, uncertain statistics is composed of some mathematical tools, and the two most important tools are uncertain time series analysis and uncertain differential equation. For the sake of predicting the future EUR to USD exchange rates, this paper uses the tools of uncertain time series analysis and uncertain differential equation to model the EUR to USD exchange rates from January 2018 to May 2023. Following that, the fitness of the estimated uncertain statistical models to the data set is also verified by using the uncertain hypothesis test. Finally, by means of testing the stochastic hypothesis of the estimated statistical model based on the specific residuals of the EUR to USD exchange rates, the inappropriateness of the stochastic statistical model is also pointed out in this paper.
A novel monitoring in endoscopic sedation: Oxygen Reserve Index
Authors: Yağar Seyhan , Bölülbaşı Demet 
Published: November 2023

Abstract
Purpose: To assess whether ORi guided pre-oxygenation and ORi monitoring in addition to capnography and pulse oximetry is more effective than standard monitoring alone to prevent cardio-respiratory events in endoscopic sedation.
Methods: This prospective, randomized, single blinded study included 200 endoscopy patients which randomized to two groups. All the participants had ORi, SpO2, ETCO2, non-invasive blood pressure and heart rhythm monitoring. In Group I anesthesiologist was blinded to ORi. Five min pre-oxygenation (5 L/min via nasal cannula) applied to all participant in sitting position, with ORi guidance to reach steady state in ORi. Propofol boluses were applied for sedation. Mild and moderate desaturation, and hypoventilation were recorded.
Results: Seventeen per cent moderate desaturation (SpO2<90%) observed in Group I whereas rate was 7.6% in Group II (p:0.06). Hypoventilation rate was 23% and 12% in Group I and II respectively (p:0.057). Low ORI rate was statistically significantly higher in Group I (19%) compared to Group II (4.3%)(p:0.002).
Conclusions: Our results showed that ORi has ability to diminish hypoxemic events and putting patients in a mild hyperoxemic state and endeavor to keep this state can be alternative and reliable method for endoscopic sedation.
Astrocytic Neuroligin 3 Regulates Social Memory and Synaptic Plasticity through Adenosine Signaling
Authors: Jia Zhengping , Dang Rui , Liu An , Zhou Yu , Li Xingcan , Wu Miao , Cao Kun , Meng Yanghong , Zhang Haiwang , Xie Wei 
Published: November 2023

Abstract

Social memory impairment is a key symptom of many brain disorders, but its underlying mechanisms remain unclear. Neuroligins (NLGs) are a family of cell adhesion molecules essential for synapse development and function and their dysfunctions are linked to neurodevelopmental and neuropsychiatric disorders, including autism and schizophrenia. Although NLGs are extensively studied in neurons, their role in glial cells is poorly understood. Here we report that astrocytic NLG3 in the adult brain regulates social memory and synaptic plasticity through regulating glutamate homeostasis and adenosine signaling pathway. We show that astrocytic deletion of NLG3 in the ventral hippocampus impairs social recognition memory, attenuates experience-dependent astrocytic Ca2+ signals, enhances the expression of glutamate transporter EAAT2 and prevents long-term potentiation, and these impairments are rescued by increasing astrocyte activity, reducing glutamate transporter function or enhancing adenosine/A2a receptor function. This study has revealed the critical roles of NLG3 in astrocyte function, glutamate homeostasis and social memory and identified the glutamate transporter and adenosine signaling pathway as potential therapeutic strategies to treat brain disorders.
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
Authors: Kanakaraj Praitayini , Yao Tianyuan , Cai Leon Y. , Lee Ho Hin , Newlin Nancy R. , Kim Michael E. , Gao Chenyu , Pechman Kimberly R. , Archer Derek , Hohman Timothy , Jefferson Angela , Beason-Held Lori L. , Resnick Susan M. , Garyfallidis Eleftherios , Anderson Adam , Schilling Kurt G. , Landman Bennett A. , Moyer Daniel 
Published: November 2023

Abstract
T1-weighted (T1w) MRI has low frequency intensity artifacts due to magnetic field inhomogeneities. Removal of these biases in T1w MRI images is a critical preprocessing step to ensure spatially consistent image interpretation. N4ITK bias field correction, the current state-of-the-art, is implemented in such a way that makes it difficult to port between different pipelines and workflows, thus making it hard to reimplement and reproduce results across local, cloud, and edge platforms. Moreover, N4ITK is opaque to optimization before and after its application, meaning that methodological development must work around the inhomogeneity correction step. Given the importance of bias fields correction in structural preprocessing and flexible implementation, we pursue a deep learning approximation / reinterpretation of the N4ITK bias fields correction to create a method which is portable, flexible, and fully differentiable. In this paper, we trained a deep learning network “DeepN4” on eight independent cohorts from 72 different scanners and age ranges with N4ITK-corrected T1w MRI and bias field for supervision in log space. We found that we can closely approximate N4ITK bias fields correction with naïve networks. We evaluate the peak signal to noise ratio (PSNR) in test dataset against the N4ITK corrected images. The median PSNR of corrected images between N4ITK and DeepN4 was 47.96 dB. In addition, we assess the DeepN4 model on eight additional external datasets and show the generalizability of the approach. This study establishes that incompatible N4ITK preprocessing steps can be closely approximated by naïve deep neural networks, facilitating more flexibility. All code and models are released at https://github.com/MASILab/DeepN4.
Somatosensory Stimulation on the Wrist Enhances the Subsequent Hand-Choice by Biasing Toward the Stimulated Hand
Authors: Hirayama Kento , Takahashi Toru , Koga Takayuki , Osu Rieko 
Published: November 2023

Abstract

Hand choice is an unconscious decision frequently made in daily life. The state of brain activity before target presentation correlates with hand choice for the target, where hand choice probability reaches equilibrium. However, whether the neural state before target presentation affects hand choice remains unknown. Therefore, this study aimed to examine whether instantaneous somatosensory electrical stimulation administered to the unilateral wrist at 0, 300, or 600 ms before the target presentation facilitates or inhibits stimulated hand choice for targets around the hand selection equilibrium point. A single electrical stimulation comprised five trains of 1 ms electrical pulses, with a 20 ms inter-pulse interval. The stimulus intensity was set at 80% of the motor threshold. This study included 14 right-handed healthy adults (five females, nine males; mean age, 25.1 ± 4.64 years). Unilateral wrist stimulation significantly increased the probability of choosing the stimulated hand and led to a faster reaction time than bilateral wrist stimulation and no-stimulation conditions. The results suggest that prior somatosensory stimulation significantly affects the hand-choice process, effectively promoting selection of the stimulated hand. These findings highlight the potential application of this stimulation method in stroke rehabilitation to facilitate use of the paretic hand.
Mathematical Modelling and Analysis of Stochastic Malaria and COVID-19 Co-infection Model
Authors: Pobbi Michael A. , Naandam Samuel M. , Moore Stephen E. 
Published: November 2023

Abstract
In this article, we formulate and analyze a stochastic mathematical model for the co-infection of malaria and COVID-19. We study the dynamics and the effect of these diseases in a given population.
We establish the basic reproduction number of the disease-free equilibrium point of the stochastic model by means of a suitable Lyapunov function. Moreover, we provide sufficient conditions for the stability of the model around the disease free equilibrium points. Finally, using a few simulation studies we demonstrate our theoretical results.
Particularly, we derive threshold values for Malaria only R0Ms, COVID-19 only, Rs0C and co-infection Rs0MC model at the disease-free equilibrium point using the next generation matrix method. Next the conditions for stability in the stochastic sense for Malaria only, COVID-19 only sub models, and full model are established. Further, we devote with full strength our concentrated attention to sufficient conditions for extinction and persistence using each of these reproductive numbers. Finally, by using the Euler-Murayama scheme, we demonstrate the dynamics of the co-infection by means of numerical simulations.