bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intent and impact: Connecting multicultural and social justice counselor training to community client experiences
Authors: Grimmett Marc A. , Lupton‐Smith Helen , Beckwith Alyx , Messinger Erik , Edwards Malaika , Moody Bredell , Clark Cory , Mohamed Rasha , Englert Michael , Bates Damaris 
Published: January 2024

AbstractLimited studies examine the impact of multicultural counseling and training conceptual models on the experiences of community clients. The Community Counseling, Education, and Research Center (CCERC) model is designed to meet community client needs for counseling services and training needs of counseling students through multiculturalism, love ethic, and trauma sensitivity. A thematic analysis of client responses about their experience of the model revealed that counseling was validating, positive, meaningful, and helpful. Implications and recommendations for future research are provided.
Global supply chain competitiveness: The synergistic role of integrated logistics and global sourcing
Authors: Negi Saurav 
Published: January 2024

AbstractThis study examines the strategic role of integrated logistics and global sourcing in a firm's supply chain performance, aiming to explain their role in gaining a competitive edge. Employing an extensive literature review, the research initially investigates their broader impact on global supply chains and subsequently focuses on integrated logistics and global sourcing domains. The findings highlight the increasing importance of supply chain integration in contemporary business strategy. The study establishes that integrating logistics and global sourcing is pivotal for achieving performance improvements crucial for success in today's competitive landscape. It demonstrates that this integration yields various organizational benefits, including cost reduction, improved technology access, enhanced sourcing consistency, strengthened supplier relationships, and improved information sharing. Consequently, this paper addresses a significant gap in the global supply chain literature by synthesizing the concepts of integrated logistics and global sourcing, providing a comprehensive understanding of how they collectively enhance supply chain performance in a fiercely competitive market. As such, it offers a valuable resource for practitioners and academics seeking insight into the pivotal role of integrated logistics and global sourcing in a firm's overall performance.
Peak‐aware adaptive denoising for Raman spectroscopy based on machine learning approach
Authors: Lee Juhyung , Lee Woonghee 
Published: January 2024

AbstractRaman spectroscopy can be effectively used for detection and analysis of chemical agents that are serious threats in modern warfare, but the detection and analysis performance is prone to deterioration due to noise. The existing denoising technique has limitations that there is no criterion for selecting the window length and that the filtering distorts the peaks, key features for Raman spectral data analysis. To overcome such limitations, in this paper, we propose the peak‐aware adaptive denoising for Raman spectroscopy based on machine learning approach. The proposed technique utilizes the information of detected peaks to eliminate noise effectively using different window values optimal for each region in the Raman spectrum while preserving the shape of peaks. We conducted the various analyses and experiments, and the proposed technique showed a 28% lower Euclidean distance and a 48% lower Fréchet inception distance compared to the existing technique, meaning the proposed technique outperformed the existing one.
Directions of land degradation in the greater Istanbul metropolitan area: A view from four decades
Authors: Bayraktar Selim , Cegielska Katarzyna , Sökmen Eren Dağra , Noszczyk Tomasz , Yener Şerife Doğanay , Kukulska‐Kozieł Anita 
Published: January 2024

AbstractIn an era of dynamic urbanization, especially in densely populated regions such as the Greater Istanbul Metropolitan Area, land degradation (LD) is a widespread and multifaceted phenomenon. Hence, there is a need for monitoring LD to track the direction of urban sprawl and respond rationally. In this context, the purpose of this study was to investigate the magnitude and directions of LD in Istanbul from 1984 to 2022. The originality of the study lies in the development of the CAI_A index, which is a quantitative measure of the degree of anthropogenic impact. This study utilized Landsat 5 and Landsat 8 satellite imagery from 1984, 2002, and 2022, employing a maximum likelihood classification method to determine land cover and land use changes. The results show that the area of LD by anthropogenic activity has increased by an average of nearly 40 percentage points in each district of Istanbul over the past four decades, significantly impacting both natural and semi‐natural areas. Furthermore, a noteworthy observation was made regarding forests in the northern part of the study area, which demonstrated stability and resilience to LD. The results of the study are important for the urban environment because they facilitate a better understanding of the impact of human activities on mitigating LD in the context of climate change, among other things. Moreover, the results identify specific areas in need of targeted monitoring and remedial actions regarding LD.Research HighlightsIstanbul's urbanization has been consistent since 1984.Urban expansion primarily contributes to agricultural land degradation.Land degradation clusters near settlements and on the southern coast.State forests are crucial for preserving natural areas and resisting degradation.Forest services are threatened by fragmented urban expansion.
Region‐specific drivers cause low organic carbon stocks and sequestration rates in the saltmarsh soils of southern Scandinavia
Authors: Leiva‐Dueñas Carmen , Graversen Anna Elizabeth Løvgren , Banta Gary T. , Hansen Jeppe Najbjerg , Schrøter Marie Louise Kjærgaard , Masqué Pere , Holmer Marianne , Krause‐Jensen Dorte 
Published: January 2024

AbstractSaltmarshes are known for their ability to act as effective sinks of organic carbon (OC) and their protection and restoration could potentially slow down the pace of global warming. However, regional estimates of saltmarsh OC storage are often missing, including for the Nordic region. To address this knowledge gap, we assessed OC storage and accumulation rates in 17 saltmarshes distributed along the Danish coasts and investigated the main drivers of soil OC storage. Danish saltmarshes store a median of 10 kg OC m−2 (interquartile range, IQR: 13.5–7.6) in the top meter and sequester 31.5 g OC m−2 yr−1 (IQR: 41.6–15.7). In a global context, these values are comparatively low. Soils with abundant clay (> 20%), older and stable saltmarshes in mesohaline settings, and with low proportion of algal organic material showed higher OC densities, stocks, and accumulation rates. Grazing led to significantly higher OC stocks than neighboring ungrazed locations, likely due to trampling modifying soil abiotic conditions (higher erosion‐resistance and higher clay content) that slow carbon decay. Scaling up, Danish saltmarsh soils, comprising about 1% of the country's area, have the potential to yearly capture up to 0.1% of Denmark's annual consumption‐based CO2 emissions. Our research expands the baseline data needed to advance blue carbon research and management in the Nordic region while highlighting the need for a more comprehensive approach to saltmarsh management that considers the full range of services of these ecosystems and does not only focus on climate benefits.
Cross‐vendor multiparametric mapping of the human brain using 3D‐QALAS: A multicenter and multivendor study
Authors: Fujita Shohei , Gagoski Borjan , Hwang Ken‐Pin , Hagiwara Akifumi , Warntjes Marcel , Fukunaga Issei , Uchida Wataru , Saito Yuya , Sekine Towa , Tachibana Rina , Muroi Tomoya , Akatsu Toshiya , Kasahara Akihiro , Sato Ryo , Ueyama Tsuyoshi , Andica Christina , Kamagata Koji , Amemiya Shiori , Takao Hidemasa , Hoshino Yasunobu , Tomizawa Yuji , Yokoyama Kazumasa , Bilgic Berkin , Hattori Nobutaka , Abe Osamu , Aoki Shigeki 
Published: January 2024

AbstractPurposeTo evaluate a vendor‐agnostic multiparametric mapping scheme based on 3D quantification using an interleaved Look–Locker acquisition sequence with a T2 preparation pulse (3D‐QALAS) for whole‐brain T1, T2, and proton density (PD) mapping.MethodsThis prospective, multi‐institutional study was conducted between September 2021 and February 2022 using five different 3T systems from four prominent MRI vendors. The accuracy of this technique was evaluated using a standardized MRI system phantom. Intra‐scanner repeatability and inter‐vendor reproducibility of T1, T2, and PD values were evaluated in 10 healthy volunteers (6 men; mean age ± SD, 28.0 ± 5.6 y) who underwent scan‐rescan sessions on each scanner (total scans = 100). To evaluate the feasibility of 3D‐QALAS, nine patients with multiple sclerosis (nine women; mean age ± SD, 48.2 ± 11.5 y) underwent imaging examination on two 3T MRI systems from different manufacturers.ResultsQuantitative maps obtained with 3D‐QALAS showed high linearity (R2 = 0.998 and 0.998 for T1 and T2, respectively) with respect to reference measurements. The mean intra‐scanner coefficients of variation for each scanner and structure ranged from 0.4% to 2.6%. The mean structure‐wise test–retest repeatabilities were 1.6%, 1.1%, and 0.7% for T1, T2, and PD, respectively. Overall, high inter‐vendor reproducibility was observed for all parameter maps and all structure measurements, including white matter lesions in patients with multiple sclerosis.ConclusionThe vendor‐agnostic multiparametric mapping technique 3D‐QALAS provided reproducible measurements of T1, T2, and PD for human tissues within a typical physiological range using 3T scanners from four different MRI manufacturers.
Effects of classroom‐based social problem‐solving training on elementary school children: Investigating the moderating role of executive function
Authors: Hatakeyama Yoshiko , Fujino Haruo , Yamamoto Tomoka , Ishii Atsuko , Okuno Hiroko 
Published: January 2024

AbstractSocial problem‐solving (SPS) skills represent an individual's ability to effectively solve daily problems. Although previous studies have demonstrated the positive effects of SPS interventions, there is still a lack of evidence on the relevant moderating factors. Therefore, this study investigated the impact of an SPS intervention on a sample of elementary school children, by focusing on the potential moderating effects of executive function. The participants included a total of 101 fifth graders (mean age of 10.6 years), who were divided into two groups for an immediate intervention (treatment) and delayed intervention (control). The following three aspects were measured pre‐ and postintervention: SPS skills, emotional regulation, and school adjustment. Preintervention, we measured two aspects of executive function using the Cambridge Neuropsychological Test Automated Battery, including working memory and inhibition. Following the intervention, the participants increasingly generated alternative solutions, which may have contributed to better adaptive functioning and solutions. However, we also observed some negative impacts on participants with lower executive functioning, including deteriorating effects on emotional regulation (problem solving) and life satisfaction. These findings emphasize the need to pay close attention to the individual profiles of the recipients to design more effective interventions.
Link between circadian rhythm and benign prostatic hyperplasia (BPH)/lower urinary tract symptoms (LUTS)
Authors: Cavanaugh Dana , Urbanucci Alfonso , Mohamed Nihal E. , Tewari Ashutosh K. , Figueiro Mariana , Kyprianou Natasha 
Published: January 2024

AbstractBackgroundBenign prostatic hyperplasia (BPH) is the most common urologic disease in aging males, affecting 50% of men over 50 and up to 80% of men over 80 years old. Its negative impact on health‐related quality of life implores further investigation into its risk factors and strategies for effective management. Although the exact molecular mechanisms underlying pathophysiological onset of BPH are poorly defined, the current hypothesized contributors to BPH and lower urinary tract symptoms (LUTS) include aging, inflammation, metabolic syndrome, and hormonal changes. These processes are indirectly influenced by circadian rhythm disruption. In this article, we review the recent evidence on the potential association of light changes/circadian rhythm disruption and the onset of BPH and impact on treatment.MethodsA narrative literature review was conducted using PubMed and Google Scholar to identify supporting evidence. The articles referenced ranged from 1975 to 2023.ResultsA clear relationship between BPH/LUTS and circadian rhythm disruption is yet to be established. However, common mediators influence both diseases, including proinflammatory states, metabolic syndrome, and hormonal regulation that can be asserted to circadian disruption. Some studies have identified a possible relationship between general LUTS and sleep disturbance, but little research has been done on the medical management of these diseases and how circadian rhythm disruption further affects treatment outcomes.ConclusionsThere is evidence to implicate a relationship between BPH/LUTS and circadian rhythm disruptions. However, there is scarce literature on potential specific link in medical management of the disease and treatment outcomes with circadian rhythm disruption. Further study is warranted to provide BPH patients with insights into circadian rhythm directed appropriate interventions.
Formononetin attenuates cigarette smoke‐induced COPD in mice by suppressing inflammation, endoplasmic reticulum stress, and apoptosis in bronchial epithelial cells via AhR/CYP1A1 and AKT/mTOR signaling pathways
Authors: Li Xiaomei , Jiang Xianhan , Zeng Runhao , Lai Xiujuan , Wang Jing , Liu Hao , Wu Huihui , He Jiaxun , Liu Lian , Zhu Zhiying , Li Jingpei , Liang Xue 
Published: January 2024

AbstractChronic obstructive pulmonary disease (COPD) is a chronic, progressive, and lethal lung disease with few treatments. Formononetin (FMN) is a clinical preparation extract with extensive pharmacological actions. However, its effect on COPD remains unknown. This study aimed to explore the effect and underlying mechanisms of FMN on COPD. A mouse model of COPD was established by exposure to cigarette smoke (CS) for 24 weeks. In addition, bronchial epithelial BEAS‐2B cells were treated with CS extract (CSE) for 24 h to explore the in vitro effect of FMN. FMN significantly improved lung function and attenuated pathological lung damage. FMN treatment reduced inflammatory cell infiltration and pro‐inflammatory cytokines secretion. FMN also suppressed apoptosis by regulating apoptosis‐associated proteins. Moreover, FMN relieved CS‐induced endoplasmic reticulum (ER) stress in the mouse lungs. In BEAS‐2B cells, FMN treatment reduced CSE‐induced inflammation, ER stress, and apoptosis. Mechanistically, FMN downregulated the CS‐activated AhR/CYP1A1 and AKT/mTOR signaling pathways in vivo and in vitro. FMN can attenuate CS‐induced COPD in mice by suppressing inflammation, ER stress, and apoptosis in bronchial epithelial cells via the inhibition of AhR/CYP1A1 and AKT/mTOR signaling pathways, suggesting a new therapeutic potential for COPD treatment.
Tacrolimus treatment in women with repeated implantation failures
Authors: Nakagawa Koji , Sugiyama Rikikazu 
Published: January 2024

AbstractBackgroundTacrolimus is an immunosuppressive drug that works as a calcineurin inhibitor to improve the reproductive outcomes for women who have experienced multiple implantation failures (RIF) and show elevated type 1 helper T (Th1)/Th2 cell ratios.MethodsIn the first part of this review, we indicate how we re‐evaluated the cut‐off index for selecting the participants in a tacrolimus regimen via transferred euploid blastocysts. In the second part, we cite cases where tacrolimus has improved the live birth rate for women who have experienced recurrent pregnancy losses (PRL) and we introduce the utility of tacrolimus treatment to prevent obstetrical complications.Main FindingsAfter reconsideration of the cut‐off index (Th1/Th2 ≥ 11.8), however, the pregnancy rates of women with tacrolimus were significantly higher than those of women without tacrolimus. The PRL women treated with tacrolimus showed significantly lower rates of biochemical pregnancy, but higher live‐birth rates compared with women who were not treated with tacrolimus. Moreover, prior severe obstetrical complications could be controlled via the administration of tacrolimus during pregnancy.ConclusionTacrolimus has become indispensable in the field of solid‐organ transplantation, and in the near future, it should become an essential agent in the reproductive field, as well.
An overview of SARS‐CoV2 natural infections in companion animals: A systematic review of the current evidence
Authors: Heydarifard Zahra , Chegeni Ardalan Maleki , Heydarifard Fatemeh , Nikmanesh Bahram , Salimi Vahid 
Published: January 2024

AbstractThis systematic review provides a comprehensive overview of natural SARS‐CoV‐2 infections in companion animals. The findings show that these infections are relatively rare. Among the examined dogs, only 1.32% tested positive for SARS‐CoV‐2, while for cats, the rate was 1.55%. Infections in rabbits and ferrets were even less common, at less than 1%. These results support previous research indicating the infrequency of natural infections in companion animals. The review also includes updated studies that involved various pets, such as cats, dogs, ferrets, and rabbits. The majority of the studies analyzed were primarily concerned with screening pets that visited veterinary clinics, regardless of whether they showed any specific signs of SARS‐CoV‐2 infection. Only a limited number of studies investigated infections in animals suspected of being in contact with owners or other animals that had COVID‐19 or were exhibiting symptoms. The most common variant identified among the SARS‐CoV‐2 variants in the reviewed studies was B.1.1.7 (alpha), followed by B.1.617.2 (delta), B.1.526 (Iota), and others. The emergence of these variants raises concerns about their potential for increased transmissibility and virulence, highlighting the importance of ongoing monitoring of SARS‐CoV‐2 infections in both humans and animals. Furthermore, most of the reviewed studies indicated that infected pets either showed no symptoms or experienced mild symptoms. This aligns with previous reports suggesting that animals infected with SARS‐CoV‐2 generally have less severe illness compared to humans. However, it is essential to recognize the possibility of severe illness or death in animals, particularly those with underlying health conditions. Continuous surveillance of SARS‐CoV‐2 infections in companion animals is crucial for better understanding the virus's epidemiology in animals and developing effective strategies to protect both animal and human health.
Utilising biosensor‐based approaches for identifying neurotropic viruses
Authors: Alissa Mohammed , Hjazi Ahmed 
Published: January 2024

AbstractNeurotropic viruses, with their ability to invade the central nervous system, present a significant public health challenge, causing a spectrum of neurological diseases. Clinical manifestations of neurotropic viral infections vary widely, from mild to life‐threatening conditions, such as HSV‐induced encephalitis or poliovirus‐induced poliomyelitis. Traditional diagnostic methods, including polymerase chain reaction, serological assays, and imaging techniques, though valuable, have limitations. To address these challenges, biosensor‐based methods have emerged as a promising approach. These methods offer advantages such as rapid results, high sensitivity, specificity, and potential for point‐of‐care applications. By targeting specific biomarkers or genetic material, biosensors utilise technologies like surface plasmon resonance and microarrays, providing a direct and efficient means of diagnosing neurotropic infections. This review explores the evolving landscape of biosensor‐based methods, highlighting their potential to enhance the diagnostic toolkit for neurotropic viruses.
Identifying disaster risk factors and hotspots in Africa from spatiotemporal decadal analyses using INFORM data for risk reduction and sustainable development
Authors: Eze Emmanuel , Siegmund Alexander 
Published: January 2024

AbstractThe incidence and magnitude of hazards in Africa are escalating. Extant knowledge base of disaster risk (DR) trends, factors, and hotspots is lacking for the continent. Here we applied random forest machine learning regressions, spatial stratified heterogeneity, and hotspot analyses on INFORM data to identify DR patterns, factors and interactions, and notable risk hotspots. We show that although DR is generally decreasing in Africa, the Eastern, Southern, and Western regions record increasing DR. Physical exposure to floods, epidemics, and violent conflicts are hazard drivers of DR in Africa. Other significant DR drivers are mostly clustered under vulnerable groups and poor infrastructural coping capacities. Human hazards interact with other factors, exhibiting the highest influences on DR. Precisely, 19 out of 53 African countries in this study are DR hotspots. Eritrea is identified as a new hotspot. Targeted policies, resilience building, vulnerability reduction measures and comprehensive sustainability‐infused solutions are required for DR reduction and sustainable development in Africa.
Catalytic Gold Nanoparticle Assembly Programmed by DNAzyme Circuits
Authors: Wu Ranfeng , Chen Yiming , Zhang Yongpeng , Liu Rongming , Zhang Qiang , Zhang Cheng 
Published: January 2024

AbstractAssembled gold nanoparticle (AuNP) superstructures can generate unique physicochemical characteristics and be used in various applications, thus becoming an attractive research field. Recently, several DNA‐assisted gold nanoparticle assembly methods have been rigorously developed that typically require a non‐catalytic equimolar molecular assembly to guarantee the designed assembly. Although efficient and accurate, exploring such non‐catalytic nanoparticle assemblies in the complex cellular milieu under low trigger concentrations remains challenging. Therefore, developing a catalytic method that facilitates gold nanoparticle assemblies with relatively low DNA trigger concentrations is desirable. In this report, a catalytic method to program gold nanoparticle assemblies by DNAzyme circuits is presented, where only a small number of DNA triggers are able to induce the production of a large number of the desired nanoparticle assemblies. The feasibility of using logic DNAzyme circuits to control catalytic nanoparticle assemblies is experimentally verified. Additionally, catalytic AuNP assembly systems are established with cascading and feedback functions. The work provides an alternative research direction to enrich the tool library of nanoparticle assembly and their application in biosensing and nanomedicine.