bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estigmatización y cuidado de las enfermedades neurocognitivas y de la salud mental de la persona mayor
Authors: Camargo-Rojas Claudia Marcela , Blanco-Parraga Maria Camila , Bonilla-García Lorena Catalina , Cardona-Ocampo Maria Alejandra , Ibarra-Pacheco Tabata Sayleth , Mahecha-Forero Luna Natasha , Rodriguez-Rodriguez Liliana Marcela , Rodriguez-Peña Aniul Slendy , Sáenz-Arias Paula-Andrea , Tique-Alvarez Maria-Camila 
Published: October 2024

El envejecimiento poblacional nacional y mundial ha despertado el interés por evidenciar los eventos relacionados con el proceso de salud y enfermedad de la persona mayor que son prevalentes en este grupo poblacional. De acuerdo a la Organización Mundial de la Salud, el 20 % de las personas mayores presentan alguna enfermedad mental, derivada de los procesos físicos, psicológicos y sociales del envejecimiento, así como de las enfermedades neurocognitivas.
Una situación derivada es la estigmatización de las personas mayores con enfermedad mental o con enfermedad neurocognitiva (Alzheimer-Parkinson). De acuerdo a diferentes autores se encuentra que por lo menos el 40 % de las personas con demencias consideran que son excluidas de la sociedad; también sus cuidadores y familiares se preocupan por situaciones de rechazo social.
Con el fin identificar la literatura científica relacionada con la estigmatización y el cuidado de las enfermedades neurocognitivas y de la salud mental de la persona mayor se propuso realizar la siguiente revisión de tema.
Estrategias de afrontamiento y resiliencia en profesionales en enfermería durante la pandemia por COVID-19
Authors: Quiñonez Mora Marcia Andrea , Ortiz Mayorga Judith Liliana , Henao Castaño Ángela María , Riveros-Gómez Laura 
Published: October 2024

Introducción: durante la pandemia por COVID-19, los profesionales en enfermería a cargo del cuidado directo e indirecto de estos pacientes se vieron expuestos a situaciones personales, familiares y laborales altamente estresantes. Objetivo: determinar la relación entre el nivel de resiliencia y las estrategias de afrontamiento de los enfermeros que brindan cuidado directo e indirecto a pacientes con diagnóstico confirmado o sospechoso de COVID-19 en una institución de cuarto nivel de la ciudad de Bogotá. Métodos: estudio descriptivo transversal cuantitativo; la muestra estuvo compuesta por 50 profesionales en enfermería que se encontraban en los servicios de cuidado crítico, urgencias y hospitalización. Los instrumentos de recolección de datos empleados fueron la Escala de Resiliencia de Connor-Davidson y el formulario del Inventario de Estrategias de Afrontamiento. Resultados: respecto a la alta resiliencia, este estudio mostró una relación estadísticamente significativa con la formación posgradual (p = 0,017), una relación negativa estadísticamente significativa (p = 0,027) con la estrategia de autocrítica y una relación positiva (p = 0,07) con la estrategia de resolución de problemas. Conclusiones: Existe relación entre el uso de estrategias cognitivas y conductuales encaminadas a eliminar el estrés, modificando la situación que lo produce y el nivel de resiliencia en los participantes de este estudio.
Análisis de los niños, niñas y adolescentes como sujetos de derechos
Authors: Cely R Delfina del Pilar 
Published: October 2024

El presente ensayo muestra un análisis de los niños, niñas y adolescentes como sujetos de derecho, desde la Convención de los derechos de los Niños (1.989) en Colombia y la Ley 1098 “Código de la Infancia y la adolescencia” de 2.006. Las ideas acerca de la niñez son una construcción social e histórica que ha pretendido explicar sus características y la forma de relacionarse con ellos y ellas. La Convención deja atrás los conceptos negativos e idílicos centrados en verlos como objeto de protección, posicionándolos como sujetos de derechos desde los principios de titularidad, interés superior, prevalencia de los derechos, protección integral y corresponsabilidad. En síntesis, a pesar de contar con una legislación que pretendecumplir estos principios, se determina que las situaciones de riesgo y vulnerabilidad se mantienen en los contextos de socialización, conllevando al no goce y garantía de los derechos de los niños, niñas y adolescentes.
KINERJA KARYAWAN, APAKAH SUATU KEHARUSAN? [EMPLOYEE PERFORMANCE: IS IT A MUST?]
Authors: Suryawan Ian Nurpatria , Ramadhani Nanda Putri 
Published: October 2024

<p>This research aims to find out the effect of the independent variable (X), namely training, work discipline, and leadership style on the dependent variable (Y), namely employee performance at the PT. XYZ. The sampling technique used in this study was purposive sampling. Respondents involved in this study were 59 permanent employees. Data collection is done by spreading the spread. The method for analyzing the data in this study is multiple linear regression. Based on the hypothesis, the results of this study are that training, work discipline and leadership style have an effect on employee performance.</p><p><strong>Bahasa Indonesia Abstrak: </strong>Penelitian ini punya tujuan yang jelas untuk mengetahui pengaruh variabel bebas yakni gaya kepemimpinan, disiplin kerja, pelatihan pada variabel tergantung yakni kinerja karyawan di PT. XYZ. Teknik pengambilan sampel yang dipakai pada penelitian ini adalah purposive sampling. Responden yang terlibat pada penelitian sejumlah 59 orang karyawan tetap. Metode untuk analisa data pada penelitian yaitu regresi linear berganda. Sesuai pengujian hipotesis hasil dari penelitian ini yaitu pelatihan, disiplin kerja, gaya kepemimpinan memberi pengaruh pada kinerja karyawan.<em></em></p>
Growth and Challenges of Rubber Plantation in North-Eastern States of India
Authors: Sarkar Sukanta 
Published: October 2024

The paper discussed the growth and challenges of rubber plantation in north-eastern states of India. It has been found that there are bright prospects of rubber plantation in the region. Rubber plants were first planted in 1950 in Assam. It helps in changing livelihoods of the tribal communities. Karimkhanj, Karbi Anglong, Kamrup and Goalpara districts are leading in rubber plantation. Rubber plantation is popular among the tribes in the East, West, North and South Garo Hills in Meghalaya. Peren, Mokokchung, Wokha, and Dimapur districts are popular for rubber plantation in Nagaland. Tuensang, Zunheboto, Mon, and Longleng are other districts have more potentiality for such plantation. Rubber board was introduced rubber plantation in Arunachal Pradesh in 1980s. The first rubber tree was planted in Tripura by Forest Department of Tripura in 1963. Tripura and Assam are far ahead then the other states of the region. This region is considered as non-traditional rubber plantation. Rubber plantation have positive impact on the financial status of the cultivators. Lack of skill workers, low price of rubber sheet, low quality of the rubber sheet, shortage of government subsidies, lack of support from the government agencies, and shortage of modern technologies are the basic challenges before the rubber cultivators.
A novel semi-supervised approach for semantic segmentation of aerial remote sensing images under limited ground-truth availability
Authors: Chakravorty Anisha , Chakraborty Shounak 
Published: October 2024

Abstract

Conventional semantic segmentation techniques rely heavily on the availability of substantial ground-truth data. However, this prerequisite often proves infeasible in real-world scenarios, particularly withthe labeling complexities inherent in remote sensing images. In this manuscript, a semi-supervisedapproach has been investigated towards semantic segmentation of remotely sensed images by address-ing the challenge of limited availability of ground-truth information. For this purpose, a hybridintegration of a standard semantic segmentation model and an adversarial model has been proposedunder semi-supervised setting. The former predict the masks for the unlabelled images when fine-tunedwith the available labelled training images (however limited they may be); whereas the latter aids thereconstruction of original input images from the predicted soft(masks) through an adversarial mecha-nism. This reconstruction, further validated through a reconstruction score, assist in the identificationof ‘most-confident’ image-mask pairs to be strategically integrated into the training set. The contri-bution ultimately is to utilise the unannotated images to meaningfully augment the limited trainingset to obtain an enhanced one. The proposed technique showcases a significant improvement, withan 11-34% enhancement over existing approaches in terms of mean intersection over union, precision,and F1-score across both the minifrance (MF) and dense labeling remote sensing dataset (DLRSD) datasets.
IoT and AI: A Panacea for Climate Change-Resilient Smart Agriculture
Authors: Nawaz Majid , Babar Muhammad Inayatullah Khan 
Published: October 2024

Abstract

The application of Internet of Things (IoT) and Artificial Intelligence (AI) for disaster preparedness and sustainable agriculture has been a topic of great interest lately. In the last few years, extreme weather swings due to climate change caused by global warming have caught the farming community off guard, especially in the developing world. One of the key objectives of smart agriculture is optimal use of freshwater, which has become an increasingly scarce resource around the world. Reference Evapotranspiration (ETo), an estimation of total flux of water evaporating from a reference surface is an important parameter for irrigation management. IoT & AI-based location-specific estimation of ETo for crop water requirements augments the decision-making process. In this work, we utilize the Hargeaves and Samani (H-S) model and six regression algorithms for the estimation of ETo. We create a location-specific dataset with locally sensed IoT data from a flood warning system and remotely sensed meteorological data, spanning over 5 years. We train and test Linear Regression (LR), Multilayer Perceptron (MLP), Radial Basis Function (RBF), Support Vector Regression (SVR), Bagging and Random Forest (RF) algorithms on the locally curated dataset with 20 basic, extracted, and derived attributes. We gradually reduce number of attributes in the dataset from 20 to 3 and compare performance of the six algorithms using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative Squared Error (RRSE), Coefficient of Determination R2, Kendall Tau and Spearman Rho metrics. SVR shows superior performance with an MAE of 0.03 and an RMSE of 0.05, followed closely by MLP with an MAE of 0.04 and RMSE of 0.06 with a dataset of 12 attributes. The performance of Bagging and RF algorithms remains relatively unchanged with feature reduction whereas RBF shows slight improvement in performance when number of attributes is reduced to 3. Finally, we develop a novel ensemble hybrid model using the Stacked Generalization technique, which outperforms all individual models in prediction accuracy when using reduced-feature datasets. This work clearly delineates the performances of a diverse set of ML algorithms for feature-rich and feature-scarce scenarios and demonstrates the efficacy of our hybrid ensemble ML algorithm for estimating ETo under limited availability of data in resource-constrained environments.
Unveiling the connection: global warming and extreme weather in Southwest and East Asia
Authors: Moon Woosok 
Published: October 2024

Abstract

The recent surge in extreme summer weather events, such as severe heatwaves and flooding, in East Asian monsoon areas is widely attributed to the effects of global warming1,2. Numerous studies based on global climate models have confirmed a strong correlation between the rise in extreme precipitation and heatwaves in these areas and the ongoing trend of global warming3,4,5. However, while these studies provide valuable insights, they have yet to propose fluid-dynamical theories that could offer a deeper understanding and more reliable forecasts connecting global warming to summer extreme events. Here, we validate a theoretical concept6 suggesting that the decrease in background zonal wind leads to an intensification of planetary-scale atmospheric responses. This validation is based on idealized numerical simulations and reanalysis data. Specifically, the intensification of the North Pacific Subtropical High (NPSH) results in stronger lower-level southerly winds, transporting hot and moist air from low latitudes to high latitudes. Consequently, the strengthening of the NPSH creates favorable conditions for heavy rainfall in Southeast Asia and extreme heat events in Japan and Korea. Global warming exacerbates this phenomenon as high-latitude areas experience more warming compared to lower latitudes, causing a decrease in background zonal wind over the North Pacific Ocean. This reduction in wind speed can intensify the response of the planetary-scale atmosphere over the region. Therefore, the observed increase in extreme summer weather events in Asian Monsoon regions is likely closely linked to ongoing global warming.
Challenging AI+Camera Systems with Physical Adversarial Attacks
Authors: Wang Zheng , Wei Hui , Wang Zhixiang , Zhang Kewei , Hou Jiaqi , Liu Yuanwei , Jia Xuemei , Huang Meng , Hu Ruimin , Zheng Yinqiang , Tang Hao , Zhou Joey Tianyi 
Published: October 2024

Abstract

The integration of cameras and artificial intelligence (AI) has revolutionized various applications, yet the robustness of these systems against physical adversarial attacks remains underexplored. Existing adversarial strategies typically target single imaging devices, resulting in limited efficacy and stability across different camera systems. Here, we present a camera-agnostic physical adversarial attack framework designed to challenge AI+camera synergies. Our approach introduces a novel adversarial optimization framework that consists of an attack module and a defense module. The attack module optimizes perturbations to maximize their effectiveness, while the defense module adjusts the parameters of a camera ISP proxy to minimize the attack's impact. These modules interact in an adversarial game, enhancing the stability of attacks across multiple camera types. Through extensive experiments, we demonstrate the efficacy of our method in misleading AI-driven tasks across various hardware configurations, including two distinct cameras and four smartphones. This work advances the field of physical adversarial attacks by providing robust, real-world applicable techniques for undermining AI+camera systems.
Force-triggered density gradient sedimentation and cocktail enzyme digestion treatment for isolation of single dermal papilla cells from follicular unit extraction harvesting human hair follicles
Authors: Huang Junfei , Chen Jian , Li Haoyuan , Fan Zhexiang , Gan Yuyang , Chen Yangpeng , Du Lijuan 
Published: October 2024

Abstract

Background
Hair follicles (HFs) are dynamic structures which are readily accessible within the skin that contain various pools of stem cells with broad regenerative potential, such as dermal papilla cells (DPCs), dermal sheath cells, and epithelial HF stem cells. DPCs act as signalling centres for HF regeneration. The current method for isolating human DPCs are inefficient. These methods struggle to obtain freshly isolated original DPCs and do not maintain the characteristics of DPCs effectively.
Methods
In this study, two simple but more efficient methods were explored. Force-triggered density gradient sedimentation (FDGS) and cocktail enzyme digestion treatment (CEDT) were used to isolate purified DP spheres from human HFs, obtaining purified freshly isolated original DPCs from DP spheres. The expression profiles of isolated DPCs were tested, and gene expression of DPC-specific markers were analyzed using immunofluorescence staining, RT-qPCR and western blot.
Results
The 10% Ficoll PM400 was determined as the optimal concentration for FDGS method. Primary DPCs, DSCs and HFSCs were isolated simultaneously using the FDGS and CEDT method. The expression profiles of fresh DPCs isolated using the FDGS and CEDT methods were similar to those of traditionally isolated DPCs. DP-specific markers were expressed at significantly higher levels in freshly isolated DPCs than in traditionally isolated DPCs.
Conclusions
Compared to traditional methods, the presented laboratory protocols were able to isolate fresh DPCs with high efficiency, thereby improving their research potential.
Brain structure characteristics in children with attention-deficit/hyperactivity disorder elucidated using traveling-subject harmonization
Authors: Shou Qiulu , Yamashita Masatoshi , Hirano Yoshiyuki , Yao Akiko , Li Min , Wang Yide , Kato Yoko , Yoshida Tokiko , Matsumoto Koji , Tsujikawa Tetsuya , Okazawa Hidehiko , Tomoda Akemi , Kagitani-Shimono Kuriko , Mizuno Yoshifumi 
Published: October 2024

Abstract

Background Brain imaging studies for attention-deficit/hyperactivity disorder (ADHD) have not always yielded consistent findings, potentially owing to measurement bias in magnetic resonance imaging (MRI) scanners. This study aimed to elucidate the structural brain characteristics in children with ADHD by addressing measurement bias in multi-site MRI data using the traveling-subject (TS) method.Methods The MRI data of 14 traveling subjects, 181 typical development (TD), and 117 ADHD children were collected from multiple sites. The TS method and ComBat were used to correct for measurement bias. Gray matter volumes were estimated using FreeSurfer, and the ADHD and TD groups were compared using mixed-effect models.Results Compared to raw data and ComBat-corrected data, the TS method significantly reduced measurement bias while maintaining sampling bias. The results from the TS-corrected data showed that the brain volume of the ADHD group was significantly smaller than that of the TD group in the bilateral middle temporal cortex, bilateral orbitofrontal cortex, right inferior frontal gyrus, right middle frontal gyrus, left inferior temporal gyrus, left precuneus cortex, and bilateral insular cortex. Brain regions that showed significant differences differed across the TS method, ComBat, and raw data. In contrast, notably significant volumetric reductions in the right middle temporal gyrus of ADHD patients were consistently observed across all methods.Conclusions The TS method effectively reduces measurement bias across MRI scanners, which may affect the findings of a multi-site study. The right middle temporal gyrus showed significant differences in all methods, suggesting it is a crucial region for ADHD.
Hyaluronic acid stimulation of induced MSCs produces extracellular vesicles with enhanced healing for skin burn wounds
Authors: Jung Minyoung , Oh Hyun Geun , Lee Seul Ki , Kim Eun A , You Haedeun , Kim Tae Min , Kim Soo 
Published: October 2024

Abstract

Background
Skin injuries occur for various reasons during whole life. Some chronic wounds could cause an impaired wound healing process characterized by wound hypoxia, high levels of oxygen radicals, elevated levels of matrix metalloproteases, delayed cellular infiltration and granulation tissue formation, reduced angiogenesis, decreased collagen synthesis and organization. In this study, we report the EVs from hyaluronic acid-primed iMSCs (HA-iMSC-EVs) accelerating wound healing and regenerating damaged tissues by inducing the various growth factors in the thermal injury of mice.
Methods
EVs were collected from iMSCs primed with HA (HA-iMSC-EVs) or without HA (iMSC-EVs) and were isolated using TFF systems. Both EVs analyzed the characteristics. We investigated the proteome of HA-iMSC-EVs using the protein set ontology analysis and protein-protein interaction network. To evaluate the effect of HA-iMSC-EVs on the oxidative stress-induced wound healing delayed model, we assessed the effect of EVs on cell viability, cell migration rate, and the mRNA expression of growth factors using a hydrogen peroxide-exposed HDF model. In addition, we observed elastin and collagen expressions using an ICC staining in the HDF model. In thermal burn wound mice (BALB/c), we compared the effect of EVs in wound closure rate and histological analysis, including expression of elastin, collagen, α-SMA, and CD31.
Results
HA-iMSC-EVs exhibited typical EV characteristics, including size distribution, markers, and surface protein expression. In GO term analysis, HA-iMSC-EVs increased the proteins associated with ECM, including collagen biosynthesis and elastin fiber formation. In hydrogen peroxide exposed HDF models, HA-iMSC-EVs notably increased cell viability and migration activity. Furthermore, HA-iMSC-EVs increased RNA expression of VEGF, IGF1, and HGF and decreased IL-6 mRNA expression compared to the PBS group. Elastin and collagen expression in the HA-iMSC-EVs group were also significantly increased. In burn-injured mice, HA-iMSC-EVs accelerated wound closure and enhanced histological recovery. HA-iMSC-EVs increased collagen and elastin density on the upper dermis and decreased α-SMA expression. Additionally, HA-iMSC-EVs promoted the capillary density in the dermis.
Conclusions
Our results suggest that HA-iMSC-EVs accelerated the recovery from burn wound by providing ECM composition signal and regulating growth factors. Our strategy may contribute to the development of alternative treatment option for burn wounds.
Trial registration
: Not applicable.
Reginal dissemination of transferable repB(1701) plasmid carrying blaNDM-4 in Asia: emergence of tandem repeats with blaNDM-4 mediated by IS26 in Klebsiella pneumoniae
Authors: Zhang Huanran , Xu Hao , Liu Ruishan , Liu Xiaojing , Yang Yu , Guo Kexin , Chen Mantao , Lu Yuanqiang , Zheng Beiwen 
Published: October 2024

Abstract

The worldwide spread of carbapenem-resistant Klebsiella pneumoniae (CRKP) has led to a major challenge to human health. The emergence and prevalence of transferable plasmid carrying carbapenemase encoding gene is undoubtedly a potential factor in increasing the burden of carbapenem resistance. In this study, we described the reginal dissemination of repB(1701) plasmid carrying blaNDM-4 in China, with the coexistence of blaNDM-4 and blaOXA-9 in two independent K. pneumoniae isolates for the first time. Whole-genome sequencing and plasmid characterization of isolates L2388 and L3835 showed both blaNDM-4 and blaOXA-9 genes are situated on the transferable plasmid, designated as pL2388-NDM-OXA [120,100 bp, IncFII(K)-repB(R1701)] and pL3835-NDM-OXA [127,486 bp, repB(R1701)]. Notably, two copies of blaNDM-4 were identified in different orientations within pL3835-NDM-OXA. The blaNDM-4 sequence is relatively conserved (blaNDM-4-ble-trpF-dsbD-cutA-groES-groL), with various mobile genetic elements (MEGs) surrounding it, particularly IS26, which may play a pivotal role in gene-level dissemination. The previously unrecognized distribution of these plasmids across select regions of Southern China and Vietnam suggests a potentially wider epidemiological range than initially presumed in the context of microbiology and epidemiology. This is the first report of transferable IncFII(K)-repB(R1701)/repB(R1701) plasmids carrying the blaNDM-4 gene, relevant detection and investigation measures should be taken to control the prevalence.