bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal record linked analysis of an Assertive Community Treatment programme in a suburban mental health hospital: Emergency department presentations, hospital admissions and bed days.
Authors: Stanley Susanne , Velayudhan Ajay , Hellewell Amanda , Bhatt Mitul , Isaac Mohan 
Published: June 2024

Abstract

Purpose
This study aimed to objectively assess a long-term Assertive Community Treatment (ACT) programme run by a suburban mental health hospital in Western Australia. The study examined the programme by tracking Emergency Department (ED) presentations, hospital admissions and length of hospital stays (bed days) of people with severe mental illness who entered the programme.
Methods
Between January 2008 - June 2019, 160 clients who attended the hospital had presentation and admission activities assessed at two time periods 1) PRE - the period from each client’s first engagement with the mental health service up to their entering the service’s ACT programme, and 2) DURING – which is the time that each client spent engaged in that ACT programme.
Results
No difference was found between ED presentations before the ACT programme as compared to during the ACT programme. Voluntary mental health hospital admissions were significantly lower during the programme than before the programme, but no difference was found for involuntary mental health hospital admissions. Both voluntary and involuntary hospital stays, however, showed a significant reduction in bed days for clients during their time in the ACT programme.
Conclusion
This data shows mixed support for the continued use of the ACT programme at suburban mental health services. While ED presentations and involuntary admissions remained the same, the reduction in voluntary hospital admissions and hospital bed days suggests that the increased provision of outpatient and home care through ACT is working to support clients in the community keeping them out of more restrictive hospital settings.
Unified Pre-training with Pseudo Infrared Images for Visible-Infrared Person Re-identification
Authors: Liu ZhiGang , Hu Yan 
Published: June 2024

Abstract

In the pre-training task of visible-infrared person re-identification(VI-ReID), two main challenges arise: i) Domain disparities. A significant domain gap exists between the ImageNet utilized in public pre-trained models and the specific person data in the VI-ReID task. ii) Insufficient sample. Due to the challenge of gathering cross-modal paired samples, there is currently a scarcity of large-scale datasets suitable for pretraininge. To address the aforementioned issues, we propose a new unified pre-training framework (UPPI). Firstly, we established a large-scale visible-pseudo infrared paired sample repository (UnitCP) based on the existing visible person dataset, encompassing nearly 170,000 sample pairs. Benefiting from this repository, not only are training samples significantly expanded, but pre-training on this foundation also effectively bridges the domain disparities. Simultaneously, to fully harness the potential of the repository, we devised an innovative feature fusion mechanism(CF 2) during pre-training. It leverages redundant features present in the paired images to steer the model towards cross-modal feature fusion. In addition, during fine-tuning, to adapt the model to datasets lacking paired images, we introduced a center contrast loss(C 2). This loss guides the model to prioritize cross-modal features with consistent identities. Extensive experimental results on two standard benchmarks (SYSU-MM01 and RegDB) demonstrate that the proposed UPPI performs favorably against state-of-the-art methods.
UTFormer: A UAV Sensing-based Triple Attention Transformer Network for Semantic Segmentation
Authors: Liu Da , Long Hao , Liu Zhenbao 
Published: June 2024

Abstract

Compared to the common urban landscape semantic segmentation, with the impact of flight altitude, UAV image semantic segmentation is more challenging because small targets have a very low percentage of pixels and multi-scale features. Yet, the commonly used successive grid downsampling strategy in the current transformer-based methods omits features of small targets. Furthermore, it leads to even worse results due to the complex background interference. In reaction to this, existing strategies aim to maintain superior resolution. Nevertheless, the application of this method incurs significantly high computational costs which brings challenges to the application of assembling UAVs. So it is significant to design a novel framework to balance retaining more pixels representing small objects during downsampling and fewer computational costs. For this, we propose a UAV Sensing-based Triple Attention Transformer Network (UTFormer), which reduces complexity and enhances the segmentation of small targets simultaneously. During the overlap embedding of feature maps, the model utilizes channel attention to allocate half of the channels for global attention while adaptively selecting important semantic information from the remaining for local attention. So this triple attention strategy not only optimizes computational resources but also improves the model's ability to handle the diverse challenges presented by UAV imagery, ensuring accurate segmentation across varied object scales and densities. Our method shows superior performance on two public datasets: AeroScapes and Vaihingen, achieving 75.57\% and 78.93\% mean intersection over union. The proposed UTFormer has been released on Github:https://github.com/leoda1/UTFormer.
The Impact of Gelatin on the Electrodeposition Behavior and Microstructure of Copper in Industrial Electrolyte Solutions
Authors: Xu Yangtao , Li Yanhong , Du Haiyang , Zhong Zhiqiang , Peng Yin 
Published: June 2024

Abstract

With the advancement of technology and the rapid rise of the battery industry, the demand for high-quality copper is gradually increasing. Additives can refine the grain structure of the deposition layer and improve the electrocrystallization behavior, thereby optimizing the structural and physicochemical properties. Gelatin, as an important additive, has a significant impact on the electrocrystallization behavior and microstructure of copper in industrial electrolytes. It regulates the copper electrodeposition process through mechanisms such as adsorption, nucleation, and complexation, enhancing the structure and performance of the deposition layer. This study employs linear sweep voltammetry (LSV), cyclic voltammetry (CV), and chronoamperometry (CA) to investigate the effect of gelatin on the electrocrystallization behavior of copper in industrial electrolytes. Scanning electron microscopy, backscattered electron diffraction, and X-ray diffraction are used to analyze the microstructure, grain size, and preferred orientation of the copper deposition layer, exploring the influence of the organic additive gelatin on the grain refinement and crystal growth orientation of the copper deposition layer in industrial electrolysis.The results show that the addition of gelatin causes a negative shift in the copper deposition potential, increases cathodic polarization, reduces nucleation relaxation time, and refines the grains in the copper deposition layer. However, gelatin does not change the nucleation or growth mechanism of copper. At a gelatin concentration of 60 mg·L-1, the overpotential is at its maximum, the nucleation rate is the fastest, and the grain size of the deposition layer is minimized to 0.69 µm with a surface roughness of 199 nm. The deposition layer exhibits dual orientation growth of the (200) and (111) crystal planes, preventing coarse grain growth in a single direction. Therefore, the optimal concentration of gelatin in industrial electrolytes is 60 mg·L-1, which can significantly improve the quality of electrolytic copper and meet industrial production requirements.
Spatial and Temporal Variability Mapping of Future Flood Hazard Affected by Climate and Land-use Changes in Kendari City, Indonesia
Authors: Aldiansyah Septianto , Wardani Farida , Saputra Randi Adrian , Wahid Khalil Abdul , Madani Ilyas , Setiyo Duwi Setiyo Wigati , Pambudi Bayu Prasetyo , Ramadhan Aditya 
Published: June 2024

Abstract

Introduction
The predictions of current and future flood risk in the Kendari City Southeast Sulawesi Province, Indonesia.
Methods
In estimating this phenomenon, 51 flood and non-flood locations were identified and mapped. A total of 20 flood risk factors were selected to model flood risk using several machine learning techniques: classification and regression tree (CART), support vector machines (SVM), multivariate discriminant analysis (MDA), and ensemble. In exploring the impact of climate change and land use changes in the future (2050) on future flood risk, the General Circulation Model (GCM) with representative concentration pathways (RCPs) of the 2.6 and 8.5 scenarios by 2050 was adopted to understand the impact on 8 variables rainfall. In addition, the CA-Markov model was also applied to future land use in 2050. To validate it, Receiver Operating Characteristic-Area Under Curve (ROC-AUC) statistical analysis and other statistical analyses were carried out.
Result
The ensemble model shows the performance of the AUC value with the highest prediction (AUC = 0.99) and is followed by SVM (0.99), MDA (0.97), and then CART (0.96). It is estimated that areas with moderate to very high risk of flooding will increase as a result of changes in climate and land use by 2050. As a result of these changes, areas classified as having moderate to very high-risk increase from the four models. The proportion of risk zone areas from the current distribution to 2050 in the RCP 2.6 scenario changes in the ensemble model. Very low = + 36.76%, Low=-17.14%, Moderate=-14.53%, High=-2.56%, and Very high=-2.53%. However, this change becomes more significant in the RCP 8.5 scenario from the current percentages: Very low=-0.001%, Low=-12.78%, Moderate = + 2.14%, High = + 6.12%, and Very high = + 4.52%. The results of this research can help stakeholders in disaster mitigation efforts.
Versatile multimode fiber network with high capacity enabled by deep learning
Authors: Xiao Qirong , Zhang Hailong , Wang Lele , He Zhaofan , Cai Xin , Meng Yuan , Ma Jianshe 
Published: June 2024

Abstract

In the realm of spatial information transmission in multimode fiber (MMF), the MMF-based endoscopes and information encryption technologies have garnered considerable attention. However, existing designs are limited to establishing a single connection between one input node and one output node, thus constraining the capacity and application scenarios of MMF spatial information transmission. Here, we demonstrate a new concept of MMF-based physical networking for spatial information transmission, and develop a physical model and implementation method for establishing multi-node networking with various topological structures via cascading MMFs.We experimentally verify the feasibility of parallel transmission of spatial information at multiple nodes in an exemplary three-node MMF network with chain topology, showcasing its capability in transmitting color images through "node multiplexing" with significantly enhanced communication security through long-distance reprogrammable optical encryption. Designing MMF networks based on different node quantities and topological structures can significantly expand the scenarios for MMF spatial information transmission, providing valuable paradigms for various applications such as minimally invasive panoramic endoscopy, low-cost distributed sensing, and scaling optical reservoir computing.
Comparative investigation of commercially available Anti-bacterial creams for their efficacy against different bacterial strains.
Authors: Patel Parthika 
Published: June 2024

Abstract

Antibacterial creams come in a wide variety, with varying concentrations, prices, levels of activity, active ingredients, and excipients. Based on their ability to suppress the chosen bacterial strains (S. aureus, E. coli, B. subtilis, P. vulgaris) four different commercial antibacterial creams were evaluated as the most popular ones. There were two types of creams: one with gentamicin sulfate and the other with framycetin sulphate. The combination medicine creams included silver sulfadiazine, miconazole nitrate, neomycin sulfate, and chlorhexidine gluconate. In addition to being commonly utilized due to their antibacterial properties, the chosen bacterial strains are principally responsible for the majority of human illnesses and skin disorders. The study explains the four creams that were utilized, how economical they were, how well they worked against various bacterial strains, and how efficient they were whether applied singly or in combination. It also aids in determining which cream performs the best overall. In the antibacterial experiment, the disk diffusion method was used to use all four of the creams. Out of the four antibacterial creams, the study indicates that gentamicin had the highest efficacy. Among the three drugs that make up cream, gentamicin is the most economical and has the biggest zone of inhibition of all four creams combined. This study improves our knowledge of the best cream while also educating pharma providers regarding the advantages of creams.
papel da indexação na categorização da transexualidade e travestilidade
Authors: Tomaz Lucas Bento Oliveira dos Santos , Felipe Carla Beatriz Marques 
Published: June 2024

A presente pesquisa contextualiza os estudos de gênero e aborda a história e as questões sobre travestilidade e transexualidade com intuito de fortalecer as pesquisas relacionadas à ética dentro da Organização do Conhecimento. Tem como objetivo geral identificar como a indexação influencia na recuperação da informação acerca de estereótipos de gênero. Para tal, averiguou como ocorre a representação da informação em duas bases distintas. No sentido de verificar se os termos que representam os documentos estão em conformidade com a literatura sobre estudos de gênero. Além disso, analisou se os termos estão de acordo com o Tesauro Para Estudo de Gênero e Sobre Mulheres e o Tesauro Sobre Orientação Sexual e Identidade de Gênero. A pesquisa qualifica-se como pesquisa bibliográfica, documental e descritiva com abordagem qualitativa. Diante disso, constata-se que não houve retorno de nenhum documento que se utilizasse de termos pejorativos.
Toxic Effects of Methamphetamine on Reproductive Systems, Embryo Development, and Newborns: An Evidence-Based Review
Authors: Chen Qianqian , Wang Lan , Zhang Jinlong , Cheng Junzhe , Lin Jiang , Peng Yilin , Liu Yuhang , Zhang Changquan , Yan Jie , Niu Shuliang 
Published: June 2024

Abstract:
Methamphetamine (METH), an amphetamine-type stimulant, has been extensively
abused globally in the past decades. METH use causes great harm to the major
systems of the human body. Specifically, METH has a negative impact on the hypothalamic-
pituitary-testicular axis, testicular structure, sperm function, ovarian folliculogenesis,
oocyte quality, embryo development, and newborns. However, the mechanisms underlying
these toxic effects have not yet been fully described. This study reviews the evidence
concerning the impact of METH on male and female reproduction in the context
of the testis, sperm, ovaries, oocytes, reproductive hormones, embryo development, and
newborns, discussing the potential pathophysiological mechanisms in the reproductive
toxicity induced by METH.
Nicotine-induced Genetic and Epigenetic Modifications in Primary Human
Amniotic Fluid Stem Cells
Authors: Upadhyaya Prabin , Milillo Cristina , Bruno Annalisa , Anaclerio Federico , Buccolini Carlotta , Dell’Elice Anastasia , Angilletta Ilaria , Gatta Marco , Ballerini Patrizia , Antonucci Ivana 
Published: June 2024

Background:
Smoking during pregnancy has been linked to adverse health outcomes in offspring,
but the underlying mechanisms are not fully understood. To date, the effect of maternal smoking has been tested
in primary tissues and animal models, but the scarcity of human tissues limits experimental studies. Evidence
regarding smoking-related molecular alteration and gene expression profiles in stem cells is still lacking.

Methods:
We developed a cell culture model of human amniotic fluid stem cells (hAFSCs) of nicotine (NIC)
exposure to examine the impact of maternal smoking on epigenetic alterations of the fetus.

Results:
NIC 0.1 μM(equivalent to “light” smoking, i.e., 5 cigarettes/day) did not significantly affect cell viability;
however, significant alterations in DNA methylation and N6-methyladenosine (m6A) RNA methylation
in hAFSCs occurred. These epigenetic changes may influence the gene expression and function of hAFSCs.
Furthermore, NIC exposure caused time-dependent alterations of the expression of pluripotency genes and cell
surface markers, suggesting enhanced cell stemness and impaired differentiation potential. Furthermore, NICtreated
cells showed reduced mRNA levels of key adipogenic markers and hypomethylation of the promoter region
of the imprinted gene H19 during adipogenic differentiation, potentially suppressing adipo/lipogenesis.
Differential expression of 16 miRNAs, with predicted target genes involved in various metabolic pathways
and linked to pathological conditions, including cognitive delay and fetal growth retardation, has been detected.

Conclusions:
Our findings highlight multi-level effects of NIC on hAFSCs, including epigenetic modifications,
altered gene expression, and impaired cellular differentiation, which may contribute to long-term consequences
of smoking in pregnancy and its potential impact on offspring health and development.
Multi-functional Acyl Urea Compounds: A Review on Related Patents, Clinical
Trials, and Synthetic Approaches
Authors: Rohilla Janvi , Mishra Rakhi , Varshney Shruti , Mazumder Avijit , Mazumder Rupa , Kumar Arvind , Kaur Amrinder 
Published: June 2024

:
Acyl ureas are a well-known class of organic compounds that have drawn a lot of
attention recently because of their array of chemical properties and possible multi-use in
medicine. The article summarizes the synthetic procedures used to produce various Acyl
urea synthons and includes instances of clinical trials, patents, and commercialized medications
having Acyl urea and N-acyl urea moiety. This extensive study examines and summarizes
research on acyl urea derivatives conducted over the last 20 years from a variety of
sources, including PubMed, Google Scholar, and Google Websites. When it comes to the
discovery of new chemicals, urea derivatives still require attention compared to other acyl
compounds. This review paper aims to provide a comprehensive overview of the various
synthetic approaches utilized in the design of an array of acyl ureas to accomplish the same
goal. This work summarizes information related to several heteroatom-fused acyl urea compounds, which fortunately
will be a very useful resource for chemists and scientists who are interested in acyl urea synthesis and its
applications in chemistry.
Significance of Ribonucleoside-diphosphate Reductase Subunit M2 in Lung Adenocarcinoma
Authors: Wang Xiao-Jun , Huo Yun-Xia , Yang Peng-Jun , Gao Jing , Hu Wei-Dong 
Published: June 2024

Introduction:The Ribonucleoside-diphosphate Reductase subunit M2 (RRM2) is known to be overexpressed in various cancers, though its specific functional implications remain unclear. This aims to elucidate the role of RRM2 in the progression of Lung Adenocarcinoma (LUAD) by exploring its involvement and potential impact.Methods:RRM2 data were sourced from multiple databases to assess its diagnostic and prognostic significance in LUAD. We evaluated the association between RRM2 expression and immune cell infiltration, analyzed its function, and explored the effects of modulating RRM2 expression on LUAD cell characteristics through laboratory experiments.Results:RRM2 was significantly upregulated in LUAD tissues and cells compared to normal counterparts (p < 0.05), with rare genetic alterations noted (approximately 2%). This overexpression clearly distinguished LUAD from normal tissue (area under the curve (AUC): 0.963, 95% confidence intervals (CI): 0.946-0.981). Elevated RRM2 expression was significantly associated with adverse clinicopathological characteristics and poor prognosis in LUAD patients. Furthermore, a positive association was observed between RRM2 expression and immune cell infiltration. Pathway analysis revealed a critical connection between RRM2 and the cell cycle signaling pathway within LUAD. Targeting RRM2 inhibition effectively suppressed LUAD cell proliferation, migration, and invasion while promoting apoptosis. This intervention also modified the expression of several crucial proteins, including the downregulation of CDC25A, CDC25C, RAD1, Bcl-2, and PPM1D and the upregulation of TP53 and Bax (p < 0.05).Conclusion:Our findings highlight the potential utility of RRM2 expression as a biomarker for diagnosing and predicting prognosis in LUAD, shedding new light on the role of RRM2 in this malignancy.
Systematic Detoxification of Copper-induced Toxicity by Methanolic Extracts of Anacyclus pyrethrum (L) in Zebrafish Model
Authors: Suresh Vineesh , S.I Kirankumar , A. Shahjahan , Jamuna Sankar , Rangasamy Kirubakaran , Macrin Dannie , Aruljothi K.N. 
Published: June 2024

Introduction:
Anacyclus pyrethrum is used in Ayurveda to treat various ailments, ranging
from toothache to female infertility. However, the molecular mechanisms of its medicinal properties
are obscure and need exploratory studies.

Method:
We aimed to investigate the molecular mechanisms associated with the medicinal properties
of A. pyrethrum using zebrafish as an in vivo model. We have employed in silico, in vitro, and in
vivo approaches to elucidate the anti-inflammatory, antioxidant, and cytoprotective functions of the
methanolic extracts of A. pyrethrum. In silico analyses were carried out using Prediction of Activity
Spectra for Substances (PASS), Molecular Inspiration, Swiss Absorption, Distribution, Metabolism,
Excretion and Toxicity - ADME (SWISSADME), Absorption, Distribution, Metabolism, Excretion,
and Toxicity - Structure-Activity Relationship(ADMETSar) and molecular docking tools to prove
the anti-inflammatory effects of the bioactive components of A. pyrethrum.

Results:
Our results indicate that the bioactive components of A. pyrethrum have pharmaceutical
properties with high intestinal absorption and greater bioavailability. Further, in vitro and in vivo
results support the anti-inflammatory, antioxidant, and antitoxic effects of methanolic extract of A.
pyrethrum via suppressing the levels of the inflammatory and Reactive oxygen species biomarkers,
including Lactate Dehydrogenase, Myeloperoxidase, Nitric Oxide, and Lipid peroxidase respectively.

Conclusion:
The results obtained from three different approaches in this study highlight the potential
anti-inflammatory, antitoxic, and antioxidant effects of A. pyrethrum.