Hasil untuk "data science"

Justin Hoffmeier

Abstract This study investigates the use of topological data maps for extracting unique tropical cyclone (TC) wind field features. These maps are presented as graphs generated through a sequence of steps that filter, cluster, and identify data structure, and are used to characterize topological properties and shape in the data. The objective and scope of the method is explored through application to wind fields from the HURDAT2 data set, and its viability for detecting anomalous behavior in TCs is considered. We refer to the resulting graphs as wind field connectivity signatures (WFCS) or collective wind field connectivity map (CWFCM), depending on the data set. Our focus is Hurricane Sandy, where the method successfully identifies a complete 360-degree rotation of the high wind speed radii. This cyclical example of phase rotation of wind speed asymmetries corresponds to a distinct structural property of the graph. These methods have not been previously applied to wind field data and have only seen limited use in atmospheric sciences.

Divya Nimma, Okram Ricky Devi, Bibek Laishram et al.

Global warming is a phenomenon whereby the planet's exposure to the sun's radiation worsens from the high emission of gasses believed to trap heat within the atmosphere. Carbon dioxide (CO2) is the leading greenhouse gas majorly responsible for global warming and other related issues and is a danger to global society. This one has a particular role in portraying the key importance of the shifting climate that invariably influences water supply and agricultural production. Global warming presents complex challenges to aquatic organisms and stocks and other natural aquatic life resources. This study examines how freshwater and marine species are affected by climate change in aquatic habitats. Aquatic species' metabolism, growth, reproduction, and dispersal are all impacted by rising temperatures and altered water chemistry brought on by increased greenhouse gas emissions, especially CO2. The goal is to pinpoint the ecosystems and vulnerable species that are most impacted by these changes and suggest flexible management techniques. The suggested remedies center on creating sustainable conservation strategies that lessen the effects of climate change on aquatic biodiversity and increase these ecosystems' resilience. The socio-economic interdependencies between water and climate change impact agricultural and water resources, and the pressures exerted on water bodies and water supply landscapes. Another area is related to alterations in the physical and chemical properties of the water, such as the temperature, which is a well-known effect of climate change: 'This causes abnormalities in the metabolism and physiology of aquatic species.' These alterations flow through the chain and regime of growth, reproduction, feeding habits and distribution, migration, and mass of fish and other creatures in the water system. However, the long-term effect of climate variation and climate change on freshwater ecosystems requires much scientific investigation to address challenges in aquatic ecosystem conservation and sustainability. This being the case, adaptive management solutions that address the interrelated impacts of climate change have to be applied and implemented to reduce vulnerability in aquatic ecosystems worldwide.

Zhiyu Xiong, Yuan Yuan, Bopeng Qiu et al.

Abstract Background Sleep quality decreased can result in a major health issue in older people with age. While not all sleep changes are pathological in older people’s life, severe disturbances may lead to depression, cognitive impairments, deterioration of quality of life, significant stresses for careers and increased healthcare costs. Despite the known benefits of exercise for improving sleep quality, it is necessary to identify the optimal exercise type and dose. Objective This systematic review and network meta-analysis (NMA) combined to examine evaluated the existing evidence on the effectiveness of different exercises, and to examine the dose and response relationship between overall and specific types with improving sleep quality in older people. Methods PubMed, Cochrane Central, Web of Science, and Embase were systematically searched for this review, including studies up to April 2025. Only randomized controlled trials were included. Studies involved at least one type of exercise intervention and reported changes in sleep quality assessments. To address the limitations of relying solely on statistical significance, we also calculated the minimal clinically important difference (MCID) to determine the smallest meaningful improvement in sleep quality among older people, both overall and across different exercise doses. Data analysis and visualization were conducted using the “meta”, “netmeta”, “MBNMA”, and “ggplot2” packages in the R environment. Results A total of 62 RCTs involving 5005 older adults were included. Overall, exercise significantly improved sleep quality, with clinically meaningful improvements achieved from as early as 5 weeks of intervention. The optimal exercise type was combined aerobic and resistance training, followed by aerobic exercise, resistance training, walking, and yoga. The estimated optimal exercise dose was around 660 to 990 METs*min/week, with longer durations at 15 weeks producing the greatest benefits. Improvements were more pronounced among participants with poorer baseline sleep quality. Conclusion If older people receive the most appropriate exercise intervention, they can obtain clinically meaningful benefits of improving sleep in the elderly within the WHO guidelines for exercise doses. The results support the WHO recommendation that combine aerobic exercise and resistance training should be an important part of interventions for the older people. Protocol registration PROSPERO registration number: CRD42024566751. Graphical Abstract

Qinghua Gao, Jiahao Xu, Yue Ma et al.

IntroductionThis study aims to evaluate the utility of molecular diagnostic techniques in identifying pathogens in bronchiectasis and to investigate the differences in clinical characteristics and pathogen distribution among patients with different microbial infections.MethodsThis retrospective study collected and analyzed clinical data and lower respiratory tract pathogen detection results from 410 patients with bronchiectasis admitted to the Anning First People’s Hospital Affiliated to Kunming University of Science and Technology, between August 2020 and August 2024. By comparing molecular diagnostic methods with conventional culture, we assessed differences in pathogen detection rates and spectrum, evaluated the diagnostic performance of molecular techniques relative to traditional methodologies, and analyzed the clinical characteristics of bronchiectasis patients with different microbiological etiologies.ResultsCompared with conventional microbiological testing (CMT), molecular diagnostics demonstrated significantly higher sensitivity, positive predictive value, and negative predictive value. The most frequently detected bacteria were Haemophilus influenzae (26.83%), Pseudomonas aeruginosa (14.88%), Streptococcus pneumoniae (13.17%), Klebsiella pneumoniae (9.02%), and Staphylococcus aureus (4.39%). Patients infected with P. aeruginosa had significantly lower body mass index (BMI) compared to those infected with H. influenzae, as well as more severe lung function impairment. Inflammatory markers, including white blood cell (WBC) count and C-reactive protein (CRP), were significantly higher in the P. aeruginosa group than in the H. influenzae group. In terms of pathogen detection, the conventional culture positivity rate was significantly higher in the P. aeruginosa group compared to the H. influenzae group, whereas the false-negative rate of culture was markedly higher in the H. influenzae group. Molecular diagnostics showed high true-positive rates in both groups, though slightly lower in the P. aeruginosa group than in the H. influenzae group. Furthermore, patients infected with P. aeruginosa had significantly higher rates of respiratory failure, cystic bronchiectasis, and oxygen therapy requirement compared to those infected with H. influenzae.ConclusionThe application of molecular diagnostic technology has significantly improved the detection rate of pathogens in patients with bronchiectasis, especially for fastidious bacteria and rare pathogens. This method can provide a more comprehensive understanding of the distribution of microorganisms and disease characteristics, shorten the diagnosis cycle, accurately guide anti-infection treatment decisions and assist in prognosis assessment.

Zikun Chen, Xuequan Hou, Binyu Chen et al.

Abstract The skeletal system is vital to human health and is influenced by factors such as age and nutritional intake. Although existing studies have identified certain associations between dietary factors and orthopedic diseases, systematic analyses and theoretical perspectives remain insufficient. To address this, we present ONMR, the largest platform using Mendelian Randomization to investigate the impact of dietary intake on orthopedic disorders. By systematically integrating Genome-Wide Association Study (GWAS) data to provide over 100,000 analyses between 210 nutritional items and 503 bone-related phenotypes, ONMR provides a comprehensive framework for understanding the complex interactions between diet and skeletal health. This extensive analysis has elucidated the dual effects of dietary intake on bone health and their age-dependent characteristics. As a pivotal resource for interdisciplinary research spanning nutritional science and orthopedics, this platform could significantly contribute to the advancement of precision medicine in health management. The ONMR supports data querying, downloading, and personalized analysis, which can be accessed via a user-friendly website at https://onmr.ai-bio.net .

Jin Zhou, Austin Hepperla, Jeremy M. Simon et al.

Abstract Metastasis is the main cause of cancer-related deaths, yet the underlying mechanisms remain elusive. Here, using clear cell renal cell carcinoma (ccRCC), a tumor type with frequent lung metastases, we conduct an in vivo genome-wide CRISPR-Cas9 screen and identify HLF as a potent suppressor of lung metastasis. HLF depletion enhances ccRCC cell migration and lung metastasis, whereas HLF overexpression abrogates these effects. In ccRCC patients, HLF expression is reduced at metastatic sites and associates with epigenetic silencing mediated by the SWI/SNF ATPase subunit BRG1. HLF levels negatively correlate with migration potential in collagen. Mechanistically, HLF regulates LPXN expression, modulating the integration of collagen’s mechanical cues with the actin cytoskeleton through Paxillin, thereby suppressing cancer cell migration and lung metastasis. Overexpression of HLF or pharmacological inhibition of BRG1 reduces cell invasion across multiple cancer types. Our findings suggest that targeting the BRG1-HLF axis offers a promising therapeutic strategy for combating metastatic cancers.

Godfrey Mbaabu Limungi, Mesmar Amer, Mohammed Elmadani et al.

BackgroundThe mental health and wellbeing of nurses, particularly pediatric nurses, have garnered attention due to the increased risk of mental health challenges associated with their demanding profession. These nurses are especially vulnerable, yet their mental wellbeing is often understudied.ObjectiveThis systematic review aims to identify and analyze key factors associated with mental health challenges among pediatric nurses and explore how these factors interact to influence their wellbeing.MethodologyThe review protocol was registered in PROSPERO (CRD42024553062) and adhered to PRISMA guidelines. A comprehensive search was conducted across six databases: PubMed Scopus, CINAHL, Web of Science, Medline, and Embase. Eligible studies included both qualitative and quantitative studies that examined factors linked to mental health challenges among pediatric nurses. The quality of the studies was appraised using the Mixed Methods Appraisal Tool (MMAT). Data extraction and synthesis involved qualitative content analysis to identify key factors.ResultsFive studies from China, Turkey, Greece, Canada, and Saudi Arabia were included. The key factors identified were high workload, poor work environment, limited resources, and strained interpersonal relationships, lack of support, irregular shift patterns, demanding roles, and financial strain. These factors were significantly associated with increased stress, burnout, anxiety, and depression among pediatric nurses. The interaction of these factors created a complex web influencing their mental health, with supportive work environments and adequate financial compensation mitigating some negative effects.ConclusionThis systematic review identifies high workload, poor work environment, limited resources, and strained interpersonal relationships, lack of support, irregular shift patterns, demanding roles, and financial strain as key factors impacting the mental wellbeing of pediatric nurses. These factors interact to exacerbate stress, burnout, anxiety, and depression. Effective interventions should include manageable nurse-to-patient ratios, adequate resource allocation, fostering a supportive work culture, flexible scheduling, targeted support for senior nurses, and improved financial compensation.

Muhammad Zohaib, Muhammad Asim, Mohammed ELAffendi

Emergency vehicle detection plays a critical role in ensuring timely responses and reducing accidents in modern urban environments. However, traditional methods that rely solely on visual cues face challenges, particularly in adverse conditions. The objective of this research is to enhance emergency vehicle detection by leveraging the synergies between acoustic and visual information. By incorporating advanced deep learning techniques for both acoustic and visual data, our aim is to significantly improve the accuracy and response times. To achieve this goal, we developed an attention-based temporal spectrum network (ATSN) with an attention mechanism specifically designed for ambulance siren sound detection. In parallel, we enhanced visual detection tasks by implementing a Multi-Level Spatial Fusion YOLO (MLSF-YOLO) architecture. To combine the acoustic and visual information effectively, we employed a stacking ensemble learning technique, creating a robust framework for emergency vehicle detection. This approach capitalizes on the strengths of both modalities, allowing for a comprehensive analysis that surpasses existing methods. Through our research, we achieved remarkable results, including a misdetection rate of only 3.81% and an accuracy of 96.19% when applied to visual data containing emergency vehicles. These findings represent significant progress in real-world applications, demonstrating the effectiveness of our approach in improving emergency vehicle detection systems.

Aigerim Assylkhanova, Gyula Nagy, Cezar Morar et al.

The topic of dark tourism emerged in the last three decades as tourism became more accessible. It allows forgotten history to be revised and transferred to the public. This study aims to restructure existing categorization regarding dark tourism and address the research gaps in dark tourism studies. We collected studies from international publication databases – Scopus, Web of Science, and Google Scholar. We pre-processed the following data for each study: topic, authors’ location of university affiliation, study area, year of publication, top-cited articles, top productive journals in publishing dark tourism studies, keywords, and internality/externality of the author from the study area. With the current paper, we analysed review articles published from 1996 to 2024 (first quarter), applying qualitative methods. Based on these, a new analytical framework was generated. Furthermore, the connections between research topics were also analysed. The results of the analysis highlight specific research gaps in the literature on dark tourism and address poorly visible research fields in international journals, e.g. terrorism-related research, social media links of dark tourism, postcolonial contexts, or commemoration of communist past and heritage. Consequently, certain countries and regions are underrepresented in the literature. This critical review offers new research areas but also gives some directions to the theoretical enrichment of the dark tourism concept.

Filip Milisav, Vincent Bazinet, Yasser Iturria-Medina et al.

Sandeep Chowdhary, Iacopo Iacopini, Federico Battiston

Zongben Xu, Niansheng Tang, Chen Xu et al.

Emilie A. Paterson, Patricia V. Turner

Research primates may undergo surgical procedures making effective pain management essential to ensure good animal welfare and unbiased scientific data. Adequate pain mitigation is dependent on whether veterinarians, technicians, researchers, and caregivers can recognize and assess pain, as well as the availability of efficacious therapeutics. A survey was conducted to evaluate primate veterinary approaches to pain assessment and alleviation, as well as expressed challenges for adequately managing primate pain. The survey (<i>n</i> = 93 respondents) collected information regarding institutional policies and procedures for pain recognition, methods used for pain relief, and perceived levels of confidence in primate pain assessment. Results indicated that 71% (<i>n</i> = 60) of respondents worked at institutions that were without formal experimental pain assessment policies. Pain assessment methods were consistent across respondents with the majority evaluating pain based on changes in general activity levels (100%, <i>n</i> = 86) and food consumption (97%, <i>n</i> = 84). Self-reported confidence in recognizing and managing pain ranged from slightly confident to highly confident, and there was a commonly expressed concern about the lack of objective pain assessment tools and science-based evidence regarding therapeutic recommendations of analgesics for research primates. These opinions correspond with significant gaps in the primate pain management literature, including limited specific pharmacokinetic data and efficacy testing for commonly used analgesics in research primate species as well as limited research on objective and specific measures of pain in research primates. These results demonstrate that there are inconsistencies in institutional policies and procedures surrounding pain management in research primates and a lack of objective pain assessment methods. Demonstrating the gaps and challenges in primate pain management can inform guideline development and suggest areas for future research.

Joanna E. Klopotowska, Paul F. M. Kuks, Peter C. Wierenga et al.

Abstract Background The effectiveness of interventions to improve medication safety in older inpatients is unclear, given a paucity of properly designed intervention studies applying clinically relevant endpoints such as hospital-acquired preventable Adverse Drug Events (pADEs) and unrecognized Adverse Drug Events (uADEs). Therefore, we conducted a quality improvement study and used hospital-acquired pADEs and uADEs as main outcomes to assess the effect of an intervention aimed to improve medication safety in older inpatients. Method The study followed an interrupted time series design and consisted of three equally spaced sampling points during baseline and during intervention measurements. Each sampling point included between 80 to 90 patients. A total of 500 inpatients ≥65 years and admitted to internal medicine wards of three Dutch hospitals were included. An expert team retrospectively identified and assessed ADEs via a structured patient chart review. The findings from baseline measurement and meetings with the internal medicine and hospital pharmacy staff were used to design the intervention. The intervention consisted of a structured medication review by hospital pharmacists, followed by face-to-face feedback to prescribers, on average 3 days per week. Results The rate of hospital-acquired pADEs per 100 hospitalizations was reduced by 50.6% (difference 16.8, 95% confidence interval (CI): 9.0 to 24.6, P <  0.001), serious hospital-acquired pADEs by 62.7% (difference 12.8, 95% CI: 6.4 to 19.2, P <  0.001), and uADEs by 51.8% (difference 11.2, 95% CI: 4.4 to 18.0, P <  0.001). Additional analyses confirmed the robustness of the intervention effect, but residual bias cannot be excluded. Conclusions The intervention significantly decreased the overall and serious hospital-acquired pADE occurrence in older inpatients, and significantly improved overall ADE recognition by prescribers. Trial registration International Standard Randomized Controlled Trial Number Register, trial registration number: ISRCTN64974377 , registration date (date assigned): 07/02/2011.

Vineet Raina, Srinath Krishnamurthy

Emu‐Felicitas Ostermann‐Miyashita, Nadja Pernat, Hannes J. König

Abstract Although biodiversity conservation is a prioritized topic globally, agreements and regulations at multiple levels often fail to meet the desired effects due to insufficient knowledge transmission about and tolerance toward environmental protection measures among the public. To find effective measures to solve human–wildlife conflicts (HWCs) and promote a sustainable coexistence, it is essential to gain the public's understanding of the importance of preserving biodiversity. To spur progress in solution‐oriented conservation science, we examine how citizen science (CS) can complement research in the HWC field and coexistence/mitigation strategies. We find that CS (1) is an effective tool for gathering wildlife data and (2) empowers citizens to participate in or drive (in a bottom‐up manner) wildlife research and management. Each HWC has a unique social, economic, and geographical context, which makes it challenging to find appropriate mitigation measures. We developed a Global and Local Geographic (GLG) model that provides practical guidelines for implementing CS in HWC research. We argue that the inclusion of youth is fundamental to achieving coexistence between people and wildlife; thus integrating CS into formal education or including an educational component in CS projects can support the sustainable conservation of wildlife species and foster environmentally aware future generations.

Siheng Wang, Chang Cai, Yingbo Shen et al.

Contezolid is a novel oxazolidinone, which exhibits potent activity against gram-positive bacteria, including methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus (VRE), and penicillin-resistant Streptococcus pneumoniae (PRSP). In this study, the in vitro activity of contezolid was compared with linezolid (LZD), tigecycline (TGC), teicoplanin (TEC), vancomycin (VA), daptomycin (DAP), and florfenicol (FFC) against MRSA and VRE strains isolated from China. Contezolid revealed considerable activity against MRSA and VRE isolates with MIC90 values of 0.5 and 1.0 μg/mL, respectively. For VRE strains with different resistance genotypes, including vanA- and vanM-type strains, contezolid did not exhibit significantly differential antibacterial activity. Furthermore, the antimicrobial activity of contezolid is similar to or slightly better than that of linezolid against MRSA and VRE strains. Subsequently, the activity of contezolid was tested against strains carrying linezolid resistance genes, including Staphylococcus capitis carrying cfr gene and Enterococcus faecalis carrying optrA gene. The results showed that contezolid exhibited similar antimicrobial efficacy to linezolid against strains with linezolid resistance genes. In general, contezolid may have potential benefits to treat the infections caused by MRSA and VRE pathogens.