bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of the selective effect of zeolite in the synthesis of Cu2O Nanoparticles
Authors: Valenzuela-Martínez H. , Hurtado R. Britto , Navarro-Badilla A. , Santacruz-Ortega H. , Brown Francisco , Munguía-Arvayo R. , Flores-López N. S. , Roldan Manuel A. , Cortez-Valadez M. , Flores-Acosta M. 
Published: February 2024

Abstract
In this study, we exhibit a novel method for synthesizing Cu2O nanoparticles by employing ion exchange within the synthetic nanozeolite 4A matrix. The nanoparticles showed a consistent particle size, predominantly around 6 nm, with a narrow distribution. Nanosizing of the zeolite was achieved through high-energy milling treatments, thereby enhancing the surface-to-volume ratio. A band close to 700 cm− 1 was observed in the FTIR spectrum, potentially indicating an aspect of zeolite downsizing related to symmetric stretching of the Si-O bond post-milling. Furthermore, a distinctive band corresponding to Cu(I)-O stretching vibrations was identified around 600 cm− 1. Additionally, optical absorption analyses in the UV-Vis spectrum revealed two characteristic bands attributable to Cu2O nanoparticles, positioned at 370 nm and 470 nm, respectively. These findings lead to advancements in resource use and promote sustainable and environmentally friendly production practices.
Pollution pressure drives microbial assemblages that improve the phytoremediation potential of heavy metals by Ricinus communis
Authors: Rubio-Noguez Daniela , Breton-Deval Luz , Salinas-Peralta Ilse , Juárez Katy , Galicia Leopoldo 
Published: February 2024

Abstract

Due to the rapid expansion of industrial activity, soil pollution has intensified. Plants growing in these polluted areas have developed a rhizobiome uniquely and specially adapted to thrive in such environments. However, it remains uncertain whether pollution acts as a sufficiently selective force to shape the rhizobiome, and whether these adaptations endure over time, potentially aiding in long-term phytoremediation. Therefore, in the present study, we aimed to compare whether the microbiome associated with roots from plants germinated in polluted riverbanks will improve the phytoremediation of Cd and Pb under mesocosm experiments compared with plants germinating in a greenhouse. The experimental design was a factorial 2 x 2, i.e., the origin of the plant and the presence or absence of 100 mg/L of Cd and 1000 mg/L of Pb. Our results showed that plants germinated in polluted riverbanks have the capacity to accumulate twice the amount of Pb and Cd during mesocosm experiments. The metagenomic analysis showed that plants from the river exposed to heavy metals at the end of mesocosm experiments were rich in Rhizobium_sp_AC44_96 and Enterobacter sp. EA_1, Enterobacter soli, Pantoea rwandensis, Pantoea endophytica. In addition, those plants were uniquely associated with Rhizobium grahamii, which likely contributed to the differences in the levels of phytoremediation achieved. Furthermore, the functional analysis revealed an augmented functional potential related to hormones, metallothioneins, dismutases, and reductases; meanwhile, the plants germinated in the greenhouse showed an unspecific strategy to exceed heavy metal stress. In conclusion, pollution pressure drives microbial assemblages that improve the phytoremediation process.
Surveillance via wastewater monitoring and nasal self-collection of specimens (The SWANSS Study): A CFIR-informed qualitative study with key carceral and healthcare stakeholders
Authors: Moore Kyler N. , Bircher Patrick M. , Ogutu Emily A. , Kennedy Shanika S. , Brown Victoria M. , Freeman Matthew C. , Phillips Victoria L. , Spaulding Anne C. , Akiyama Matthew J. 
Published: February 2024

Abstract
Background
Implementing public health interventions can be challenging in carceral settings. Jails are institutions with the shortest lengths of stay, resulting in frequent turnover and constantly shifting populations. Jails had particularly acute challenges during the early stages of the COVID-19 pandemic, when incarcerated persons were highly susceptible to infection and severe disease. The purpose of this study was to identify barriers and facilitators to wastewater-based surveillance (WBS) and nasal self-testing (NST) as a combined strategy of COVID-19 surveillance in Fulton County Jail (FCJ), Atlanta, Georgia. Implications for efficient and effective infectious disease testing among this susceptible population are relevant for ongoing surveillance for current endemic pathogens and future epidemics.
Methods
We utilized a multilevel, theory-informed qualitative approach to conduct semi-structured one-on-one and small group interviews with nine distinct jail stakeholder groups: jail custody leadership, administrators, officers, maintenance workers, Georgia Department of Health’s COVID-19 testing contractor, jail health care leaders, nursing staff, laboratory leadership and staff. Interview guides and analyses were informed by the Consolidated Framework for Implementation Research (CFIR). We used directed content analysis to identify domains within CFIR reflecting barriers and facilitators to WBS combined with NST in large urban jail settings.
Results
Twelve interviews were conducted with administrative, healthcare, maintenance, custody, and laboratory personnel from July 2022 to November 2022. Seven CFIR constructs were identified as barriers, sixteen as facilitators, and one as a neutral factor for the implementation of WBS combined with NST. Jail stakeholders underscored the relative advantage for self-testing, highlighted limited resources, and expressed concerns for sustainability of WBS due to competing priorities. Many of the stakeholders within the jail setting that were interviewed had hierarchical organizational structures, which made decision-making processes regarding WBS and NST complex and challenging to implement.
Conclusions
Given the political, structural, and organizational factors in a jail setting, innovations such as NST and WBS require a rigorous implementation strategy supported by ongoing engagement and collaboration with a multitude of stakeholders.
UAV mountain material transportation based on an improved sparrow search algorithm
Authors: He Yong , Wang Mingran 
Published: February 2024

Abstract
Aiming at problems such as slow planning time and local optimality when the sparrow search algorithm is applied to UAV transportation of materials in mountainous areas, a multi-strategy improved sparrow search algorithm is proposed by analyzing UAV performance and performance constraints. Firstly, the optimal point set is used in the population initialization stage to increase the quality of the initial solution. Secondly, the nonlinear dynamic weight factor is used to optimize the discoverer update formula to avoid the discoverer's dependence on its position, extend the search range in the early stage, and accelerate the convergence rate in the later stage. Then the crazy operator is integrated to optimize the predator update formula and improve the local search ability. Finally, the lens imaging reverse learning of dynamic boundary is used to avoid the local optimization of the algorithm. The effectiveness of the proposed algorithm is verified by six test functions, and the proposed algorithm is applied to UAV material transportation. The experimental results show that the proposed algorithm has a faster convergence speed and a shorter planned path than the traditional algorithm.
Determination of Electrolytes and Trace Elements in Biological Samples of Patients with Oligozoospermia,Asthenozoospermia, Oligoasthenozoospermia, Oliasthenoteratozoospermia, Teratozoospermia: A Correlational Analysis
Authors: Unar Ahsanullah , Afridi Hassan Imran , Ali Asim 
Published: February 2024

Abstract
Oligoasthenoteratozoospermia (OAT) is a condition characterized by low sperm count, poor motility, and abnormal morphology, which poses a significant challenge to male reproductive health. The objective of this study was to investigate the levels of essential trace and electrolyte elements, such as calcium, copper, iron, magnesium, selenium, and zinc, in biological samples from individuals diagnosed with OAT. This study utilized correlational analysis to determine the po-tential associations between these elements and male fertility. Imbalances in these elements have been linked to various pathological conditions and male reproductive issues. One hundred eighty referent male adults and three hundred forty-eight patients diagnosed with subtypes of infertility were included in the study, divided into four age groups. Acid digestion was controlled using a microwave oven, and the essential trace and electrolyte elements in the oxidized biological samples were determined using atomic absorption spectrometry. Certified reference materials of blood and serum were used to validate the accuracy of the methodology. The results showed that the con-centrations of Ca, Cu, Fe, Mg, Se, and Zn in the blood, serum, and seminal plasma of male adults in all age groups were higher than those in patients with different infertility phenotypes. Essential element deficiency in all biological fluid samples may significantly negatively affect human re-productive health and lead to male infertility. Through a multidimensional approach, our study sought to unravel the intricate biochemical signatures associated with OAT, providing insights that may shape the landscape of diagnostic and therapeutic strategies for male reproductive health.
Automatic Solar Flare Detective with the Solar Disk Imager onboard the ASO-S Mission
Authors: Lu Lei , Tian Zhengyuan , Feng Li , Shan Jiahui , Li Hui , Su Yang , Li Ying , Huang Yu , Li Youping , Li Jingwei , Zhao Jie , Ying Beili , Xue Jianchao , Zhang Ping , Song Dechao , Li Shuting , Shi Guanglu , Su Yingna , Zhang Qingmin , Ge Yunyi , Chen Bo , Li Qiao , Li Gen , Zhou Yue , Tian Jun , Liu Xiaofeng , Jing Zhichen , Gan Weiqun , Song Kefei , He Lingping , Lei Shijun 
Published: February 2024

Abstract
We present an automated solar flare detective, a software tool to automatically process solar observation images, detect and track solar flares, and finally compile an event catalog. It is capable of identifying and tracking flares that happen simultaneously or temporally close together. The method to identify a flare is based on the local intensity changes in macropixels. The basic characteristics such as the time and location information of a flare are determined with a triple-threshold scheme, with the first threshold (global threshold) to determine the occurrence (location) of the flare, and the second/third threshold (local threshold) to determine the start/end time of the flare. We have applied this tool to one month of continuous solar ultraviolet (UV) images obtained by the Solar Disk Imager (SDI) onboard the Advanced Space-based Solar Observatory (ASO-S), which show solar activities such as flare, filament/prominence, and solar jets. Our automated tool efficiently detected a total number of 226 solar events. After a visual inspection, we found that only one event was misidentified (not related to solar activities). We compared the detected events with the GOES X-ray flare list and found that our tool can detect 73\% of GOES M-class and above flares (37 out of 51), from which we conclude that the intensity increase in SDI UV images can be considered as a good indicator of a solar flare.
Investigating How Inflammation Involving NF-κB Signaling Disrupts the Genetic Architecture of Neurons/Neural Stem Cells and Fuels Neurodegeneration
Authors: Shafi Ovais , Rajpar Rahimeen , Yaqoob Uzair , Rahman Ibrahim Abdul , Savanti  , Madhwani Manwar , Haseeb Madiha , Raveena  
Published: February 2024

Abstract
Background: Understanding how inflammation disrupts neural stem cells and neuronal genetic architecture is crucial. This investigation explores these mechanisms, aiming to decipher the role of inflammation in disrupting neuronal genetic architecture. Unraveling these complexities may reveal therapeutic targets, offering hope for precision interventions to impede or slow the progression of debilitating neurodegenerative conditions.Methods: Databases including PubMed, MEDLINE and Google Scholar were searched for published articles without any date restrictions, involving NF-κB and neurogenic genes/signaling pathways/transcription factors. They were investigated in the study to unravel how inflammation disrupts the neural stem cells (NSCs) and neuronal genetic architecture, and how this process fuels the development of neurodegeneration. This study adheres to relevant PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).Results: This study reveals how NF-κB activation plays a central role in inflammation-induced disruption, mediating transcriptional dysregulation of key neurogenic factors like Ngn1, NeuroD, and PDGF, compromising the neurogenic code. Downregulation of neurotrophic factors, notably BDNF, increases neuronal vulnerability to apoptotic pathways, accelerating neurodegeneration. Inflammatory processes extend to the genomic landscape, affecting genes crucial for neurogenesis and synaptic function, contributing to observed synaptic dysfunction in neurodegenerative diseases. Furthermore, inflammation disrupts NSCs, impairing neurogenesis and compromising neural progenitor dynamics, diminishing the regenerative potential of the nervous system. Identified therapeutic strategies include precision targeting of NF-κB, restoration of neurotrophic support, and interventions promoting proper gene expression and neurogenesis, offering promising avenues for mitigating inflammation-induced damage and halting neurodegenerative progression.Conclusion: This study investigates the intricate impact of inflammation on neural stem cells (NSCs) and neuronal genetic architecture, providing insights into the pathogenesis disrupting neuronal architecture. NF-κB-mediated disruptions compromise neurotrophic support, impair neurogenesis, induce synaptic dysfunction, and enhance vulnerability to apoptosis. This orchestrated genomic dysregulation contributes to the progression of neurodegenerative diseases. Therapeutically, precision targeting of NF-κB, restoration of neurotrophic support, and promotion of neurogenesis emerge as promising strategies to mitigate inflammation-induced damage, offering potential avenues for interventions to impede the neurodegenerative cascade.
Classification and Generation of Arabic News Titles from Raw Text Based on an Encoder-Decoder Transformer Model (mT5)
Authors: Mohsen‬‏ ‪Ayedh Abdulaziz , Al-Nahari Marwah Yahya , Alsubari Akram 
Published: February 2024

Abstract
Multilingual Transformer 5 (MT5) is a versatile architecture in natural language processing (NLP) that demonstrates proficiency across various languages. This study aimed to improve the performance of the MT5 model in two key tasks: topic classification and headline generation. The datasets used were 183K and 294K samples. The classification task involved categorizing news articles, while the news generation task aimed to create coherent and contextually relevant Arabic news content. Through careful fine-tuning and rigorous evaluation, the MT5 model significantly advances its ability to address complex challenges in Arabic NLP. This study provides practical insights into real-world applications in processing Arab news. The performance of the MT5 model was evaluated using various online platforms. The mT5small model achieved an accuracy of 0.7858 and an F1 score of 0.7858, while the mT5base model achieved an accuracy of 0.8230 and an F1 score of 0.8230. The generative approach for headline generation yielded Rouge-1, Rouge-2, and Rouge-L scores under the task "Generative of Headlines." These outcomes demonstrate the effectiveness of the fine-tuned MT5 model across various evaluation metrics and tasks, confirming its potential for practical applications in Arabic NLP.
Avaliação do Consumo Alimentar de Crianças em Vulnerabilidade Social do Município de São José, SC, Brasil
Authors: De Oliveira Sara Amy , Serpa Léo , De Lima Elinete Eliete 
Published: February 2024

A alimentação saudável é essencial em todos os ciclos de vida, entretanto, na primeira infância a alimentação inadequada pode ter consequências negativas para o crescimento e desenvolvimento da criança. O objetivo do estudo foi avaliar o consumo alimentar de crianças de 3 a 5 anos atendidas por uma organização não governamental que acolhe crianças em vulnerabilidade social, no município de São José, Santa Catarina, Brasil. Um questionário, aplicado de forma on-line, foi criado a partir dos “Marcadores do consumo alimentar” do Sistema de Vigilância Alimentar e Nutricional”, acrescido de listas de alimentos de cada grupo, para a avaliação da diversidade alimentar. Participaram 229 crianças, entre meninas (52,84%) e meninos (47,16%), cujas mães em sua maioria trabalham fora e cursaram o ensino médio, com renda familiar per capita de até um salário mínimo. Foi identificado o consumo considerável de alimentos ultraprocessados, com destaque para guloseimas (70%), e uso de dispositivos eletrônicos durante as refeições (63%). Apenas 43,85% das crianças consumiram todos os grupos alimentares abordados, sendo o grupo de verduras e legumes o menos consumido. Conclui-se que se faz necessária a execução de estratégias de intervenção para promoção e melhoria do perfil alimentar e nutricional das crianças e de suas famílias. Destaca-se, no entanto, a necessidade de intervenções que perpassem a esfera individual, com destaque para a implementação de políticas públicas de saúde intersetoriais.
Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis
Authors: García Yury E , Schmidt Alec J , Solis Leslie , Daza-Torres María L , Montesinos-López J Cricelio , Pollock Brad H , Nuño Miriam 
Published: February 2024

Background
Healthy Davis Together was a program launched in September 2020 in the city of Davis, California, to mitigate the spread of COVID-19 and facilitate the return to normalcy. The program involved multiple interventions, including free saliva-based asymptomatic testing, targeted communication campaigns, education efforts, and distribution of personal protective equipment, community partnerships, and investments in the local economy.

Objective
This study identified demographic characteristics of individuals that underwent testing and assessed adherence to testing over time in a community pandemic-response program launched in a college town in California, United States.

Methods
This study outlines overall testing engagement, identifies demographic characteristics of participants, and evaluates testing participation changes over 4 periods of the COVID-19 pandemic, distinguished by the dominant variants Delta and Omicron. Additionally, a recurrent model is employed to explore testing patterns based on the participants’ frequency, timing, and demographic characteristics.

Results
A total of 770,165 tests were performed between November 18, 2020, and June 30, 2022, among 89,924 (41.1% of total population) residents of Yolo County, with significant participation from racially or ethnically diverse participants and across age groups. Most positive cases (6351 of total) and highest daily participation (895 per 100,000 population) were during the Omicron period. There were some gender and age-related differences in the pattern of recurrent COVID-19 testing. Men were slightly less likely (hazard ratio [HR] 0.969, 95% CI 0.943-0.996) to be retested and more likely (HR 1.104, 95% CI 1.075-1.134) to stop testing altogether than women. People aged between 20 and 34 years were less likely to be retested (HR 0.861, 95% CI 0.828-0.895) and more likely to stop testing altogether (HR 2.617, 95% CI 2.538-2.699). However, older age groups were less likely to stop testing, especially those aged between 65-74 years and 75-84 years, than those aged between 0 and 19 years. The likelihood of stopping testing was lower (HR 0.93, 95% CI 0.889-0.976) for the Asian group and higher for the Hispanic or Latino (HR 1.185, 95% CI 1.148-1.223) and Black or African American (HR 1.198, 95% CI 1.054-1.350) groups than the White group.

Conclusions
The unique features of a pandemic response program that supported community-wide access to free asymptomatic testing provide a unique opportunity to evaluate adherence to testing recommendations and testing trends over time. Identification of individual and group-level factors associated with testing behaviors can provide insights for identifying potential areas of improvement in future testing initiatives.
Effectiveness and Experiences of Quality Improvement Interventions in Older Adult Care: Protocol for a Mixed Methods Systematic Review
Authors: Jabin Md Shafiqur Rahman , Samuriwo Ray , Chilaka Marcus , Yaroson Emilia Vann 
Published: February 2024

Background
Quality improvement (QI) interventions are designed to resolve the recurring challenges of care for older individuals, such as working conditions for staff, roles of older individuals in their own care and their families, and relevant stakeholders. Therefore, there is a need to map the impacts of QI interventions in older adult care settings and further improve health and social care systems associated with older adults.

Objective
This review aims to compile and synthesize the best available evidence regarding the effectiveness of policy and practice QI interventions in older adult care. The secondary aim is to understand the care of older individuals and QI intervention-related experiences and perspectives of stakeholders, care providers, older individuals, and their families.

Methods
The mixed methods review will follow the standard methodology used by Joanna Briggs Institute. The published studies will be searched through CINAHL, MEDLINE, PsycINFO, ASSIA, and Web of Science, and the unpublished studies through Mednar, Trove, OCLC WorldCat, and Dissertations and Theses. This review included both qualitative and quantitative analyses of patients undergoing older adult care and any health and care professionals involved in the care delivery for older adults; a broad range of QI interventions, including assistive technologies, effects of training and education, improved reporting, safety programs, and medical devices; the experiences and perspectives of staff and patients; the context of older adult care setting; and a broad range of outcomes, including patient safety. The standard procedure for reporting, that is, PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, will be followed.

Results
A result-based convergent synthesis design will be used in which both quantitative and qualitative studies will be analyzed separately, and the results of both syntheses will be then integrated during a final (convergent) synthesis. The integration will compare the findings of quantitative and qualitative evidence using tables in light of the results of both syntheses.

Conclusions
This comprehensive review is expected to reflect on the insights into some QI interventions and their impact, outline some common challenges of quality for older adult care, and benefit both the practical usefulness of care service activities and the society at large.

International Registered Report Identifier (IRRID)
PRR1-10.2196/56346