bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of forelimb gait variation overground at a walk in sound and lame dogs using a combination of diagnostic techniques
Authors: Granström Miriam Kjörk , Roepstorff Lars , Pettersson Kjerstin , Ljungvall Ingrid , Dimopoulou Maria , Peck Charlie , Bergström Annika 
Published: June 2024

Abstract
Background
Kinetic and kinematic gait analysis is increasingly practised as a part of lameness evaluation in dogs. The aim of this study was to examine the normal short- and long-term variation in forelimb gait in sound control dogs (CD) at a walk using seven selected variables of objective kinetic and kinematic gait analyses. Also, to compare the findings in CD to a group of forelimb lame dogs with elbow osteoarthritis (OAD). An additional aim was to test a kinetic based graphic method for lameness detection; symmetry squares (SS). A prospective longitudinal study was carried out on client owned CD and OAD. Clinical and orthopaedic evaluations were performed to ensure soundness and detect and grade lameness. Seven kinetic and kinematic variables and SS were tested for lameness evaluation. The CD were divided into two subgroups, CD1 and CD2, and examined twice: CD1 with two months interval and CD2 with 3–4 h interval. The OAD group was evaluated once and compared to the CD groups’ first examination.

Results
Thirteen CD and 19 OAD were included. For CD1 and CD2, there were no significant differences in any examined variable between examination occasions. Total peak force/impulse symmetry and fore-hind peak force/impulse symmetry differed significantly between OAD and CD. Symmetry squares had a 74% agreement to subjective orthopaedic evaluations.

Conclusions
In CD, no difference in the examined variables was seen between examination occasions. Four out of seven objective variables differed significantly between CD and OAD. The graphic SS method might have diagnostic potential for lameness detection, making it possible to detect a shift from lame to non-lame limbs. Potentially, this might be especially helpful in bilaterally lame dogs, which often represent a clinical challenge in lameness evaluation.
The immunotoxin targeting PRLR increases tamoxifen sensitivity and enhances the efficacy of chemotherapy in breast cancer
Authors: Zhang Jiawei , Liu Junjun , Yue Yali , Wang Lei , He Qunye , Xu Shuyi , Li Junyan , Liao Yunji , Chen Yu , Wang Shusheng , Xie Yueqing , Zhang Baohong , Bian Yanlin , Dimitrov Dimiter S. , Yuan Yunsheng , Zhu Jianwei 
Published: June 2024

Abstract
Background
Though tamoxifen achieves success in treating estrogen receptor α (ERα)-positive breast cancer, the followed development of tamoxifen resistance is a common challenge in clinic. Signals downstream of prolactin receptor (PRLR) could synergize with ERα in breast cancer progression. However, the potential effect of targeting PRL-PRLR axis combined with tamoxifen has not been thoroughly investigated.

Methods
High-throughput RNA-seq data obtained from TCGA, Metabric and GEO datasets were analyzed to explore PRLR expression in breast cancer cell and the association of PRLR expression with tamoxifen treatment. Exogenous or PRL overexpression cell models were employed to investigate the role of activated PRLR pathway in mediating tamoxifen insensitivity. Immunotoxin targeting PRLR (N8-PE24) was constructed with splicing-intein technique, and the efficacy of N8-PE24 against breast cancer was evaluated using in vitro and in vivo methods, including analysis of cells growth or apoptosis, 3D spheroids culture, and animal xenografts.

Results
PRLR pathway activated by PRL could significantly decrease sensitivity of ERα-positive breast cancer cells to tamoxifen. Tamoxifen treatment upregulated transcription of PRLR and could induce significant accumulation of PRLR protein in breast cancer cells by alkalizing lysosomes. Meanwhile, tamoxifen-resistant MCF7 achieved by long-term tamoxifen pressure exhibited both upregulated transcription and protein level of PRLR. Immunotoxin N8-PE24 enhanced sensitivity of breast cancer cells to tamoxifen both in vitro and in vivo. In xenograft models, N8-PE24 significantly enhanced the efficacy of tamoxifen and paclitaxel when treating PRLR-positive triple-negative breast cancer.

Conclusions
PRL-PRLR axis potentially associates with tamoxifen insensitivity in ERα-positive breast cancer cells. N8-PE24 could inhibit cell growth of the breast cancers and promote drug sensitivity of PRLR-positive breast cancer cells to tamoxifen and paclitaxel. Our study provides a new perspective for targeting PRLR to treat breast cancer.
Coronary CTA-based radiomic signature of pericoronary adipose tissue predict rapid plaque progression
Authors: Li Yue , Huo Huaibi , Liu Hui , Zheng Yue , Tian Zhaoxin , Jiang Xue , Jin Shiqi , Hou Yang , Yang Qi , Teng Fei , Liu Ting 
Published: June 2024

Abstract
Objectives
To explore the value of radiomic features derived from pericoronary adipose tissue (PCAT) obtained by coronary computed tomography angiography for prediction of coronary rapid plaque progression (RPP).

Methods
A total of 1233 patients from two centers were included in this multicenter retrospective study. The participants were divided into training, internal validation, and external validation cohorts. Conventional plaque characteristics and radiomic features of PCAT were extracted and analyzed. Random Forest was used to construct five models. Model 1: clinical model. Model 2: plaque characteristics model. Model 3: PCAT radiomics model. Model 4: clinical + radiomics model. Model 5: plaque characteristics + radiomics model. The evaluation of the models encompassed identification accuracy, calibration precision, and clinical applicability. Delong’ test was employed to compare the area under the curve (AUC) of different models.

Results
Seven radiomic features, including two shape features, three first-order features, and two textural features, were selected to build the PCAT radiomics model. In contrast to the clinical model and plaque characteristics model, the PCAT radiomics model (AUC 0.85 for training, 0.84 for internal validation, and 0.81 for external validation; p < 0.05) achieved significantly higher diagnostic performance in predicting RPP. The separate combination of radiomics with clinical and plaque characteristics model did not further improve diagnostic efficacy statistically (p > 0.05).

Conclusion
Radiomic feature analysis derived from PCAT significantly improves the prediction of RPP as compared to clinical and plaque characteristics. Radiomic analysis of PCAT may improve monitoring RPP over time.

Critical relevance statement
Our findings demonstrate PCAT radiomics model exhibited good performance in the prediction of RPP, with potential clinical value.

Key Points

Rapid plaque progression may be predictable with radiomics from pericoronary adipose tissue.

Fibrous plaque volume, diameter stenosis, and fat attenuation index were identified as risk factors for predicting rapid plaque progression.

Radiomics features of pericoronary adipose tissue can improve the predictive ability of rapid plaque progression.

Graphical Abstract
Analyzing radiowave multiple diffraction from a low transmitter in vegetated urban areas using a spherical-wave UTD–PO approach
Authors: Lorente-López José , Rodríguez José-Víctor , Martínez-Inglés María-Teresa , Garcia-Pardo Jose-Maria Molina , Rodríguez-Rodríguez Ignacio , Juan-Llácer Leandro 
Published: June 2024

AbstractThis article introduces a uniform theory of diffraction–physical optics (UTD–PO) formulation for analyzing radiowave multiple diffraction emanating from trees and buildings in green urban areas, considering illumination from a low transmitter and assuming spherical-wave incidence. Based on Babinet’s principle, this solution models buildings as rectangular sections and accounts for the influence of tree crowns (assuming these rise above the average rooftop height) by incorporating appropriate attenuation factors/phasors into the diffraction phenomena of buildings. The validation of the formulation is achieved through measurements made at the 39 GHz 6G mmWave frequency on a scale model of a green urban environment comprising bonsai trees and bricks. The main advantage of the proposed solution is that the calculations only include single diffractions due to recursion, circumventing the need to use higher-order diffraction terms in the diffraction coefficients, thus reducing the computation time and power. Our results may be beneficial for the design of mobile communication systems, including 6G networks, situated in green urban areas and with transmission source positioned lower than the surrounding infrastructure.
Mindfulness-based interventions for improving mental health of frontline healthcare professionals during the COVID-19 pandemic: a systematic review
Authors: Benavides-Gil Gemma , Martínez-Zaragoza Fermín , Fernández-Castro Jordi , Sánchez-Pérez Alicia , García-Sierra Rosa 
Published: June 2024

Abstract
Background
Mindfulness-based interventions (MBIs) appear to be effective for improving the mental health of healthcare professionals (HCPs). However, the effectiveness of MBIs on extreme psychological trauma caused by the coronavirus disease 2019 (COVID-19) pandemic is largely unknown. The aim of this paper was to systematically review empirical studies of MBIs for HCPs carried out during the COVID-19 pandemic, to evaluate them and their effectiveness in different areas of mental health.

Methods
The electronic databases searched were Web of Science, Scopus, PubMed, and PsycINFO. The date when each database was last searched was September 15, 2023. Randomized controlled trials (RCTs), non-randomized controlled trials (NRCTs), and non-randomized non-controlled trials (NRNCTs) focused on MBIs for health care staff who were working in healthcare centers during the COVID-19 pandemic were included. All of them employed standardized measures of mental health. The review followed the best practices and reported using PRISMA guidelines. A data collection form, adapted from the Cochrane handbook for systematic reviews of interventions, was used to extract and synthesize the results. The methods used to assess the risk of bias in the included studies were the Cochrane Risk of Bias Tool and the ROBINS-I Tool.

Results
Twenty-eight studies were included in the systematic review. Overall, the methodological quality of the studies was moderate. The results showed the effectiveness of MBIs in improving levels of stress, mindfulness, and mental well-being. However, no conclusive results were found regarding the effectiveness of MBIs in improving the levels of burnout, anxiety, depression, sleep quality, and resilience of HCPs.

Conclusions
The MBIs for HCPs carried out during the COVID-19 pandemic have mainly contributed to improving stress, mindfulness, and mental well-being at a time of serious health emergency. However, more robust studies at a methodological level would have been desirable.

Systematic review registration
PROSPERO CRD42021267621
A mixed-methods study on impact of active case finding on pulmonary tuberculosis treatment outcomes in India
Authors: Shah Akshat P. , Dave Jigna D. , Makwana Mohit N. , Rupani Mihir P. , Shah Immad A. 
Published: June 2024

Abstract
Background
Tuberculosis (TB) remains a significant public health burden in India, with elimination targets set for 2025. Active case finding (ACF) is crucial for improving TB case detection rates, although conclusive evidence of its association with treatment outcomes is lacking. Our study aims to investigate the impact of ACF on successful TB treatment outcomes among pulmonary TB patients in Gujarat, India, and explore why ACF positively impacts these outcomes.

Methods
We conducted a retrospective cohort analysis in Gujarat, India, including 1,638 pulmonary TB cases identified through ACF and 80,957 cases through passive case finding (PCF) from January 2019 to December 2020. Generalized logistic mixed-model compared treatment outcomes between the ACF and PCF groups. Additionally, in-depth interviews were conducted with 11 TB program functionaries to explore their perceptions of ACF and its impact on TB treatment outcomes.

Results
Our analysis revealed that patients diagnosed through ACF exhibited 1.4 times higher odds of successful treatment outcomes compared to those identified through PCF. Program functionaries emphasized that ACF enhances case detection rates and enables early detection and prompt treatment initiation. This early intervention facilitates faster sputum conversion and helps reduce the infectious period, thereby improving treatment outcomes. Functionaries highlighted that ACF identifies TB cases that might otherwise be missed, ensuring timely and appropriate treatment.

Conclusion
ACF significantly improves TB treatment outcomes in Gujarat, India. The mixed-methods analysis demonstrates a positive association between ACF and successful TB treatment, with early detection and prompt treatment initiation being key factors. Insights from TB program functionaries underscore the importance of ACF in ensuring timely diagnosis and treatment, which are critical for better treatment outcomes. Expanding ACF initiatives, especially among hard-to-reach populations, can further enhance TB control efforts. Future research should focus on optimizing ACF strategies and integrating additional interventions to sustain and improve TB treatment outcomes.
Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence
Authors: Xu Lingyu , Li Chenyu , Zhang Jiaqi , Guan Chen , Zhao Long , Shen Xuefei , Zhang Ningxin , Li Tianyang , Yang Chengyu , Zhou Bin , Bu Quandong , Xu Yan 
Published: June 2024

Abstract
Background
Research into the acute kidney disease (AKD) after acute ischemic stroke (AIS) is rare, and how clinical features influence its prognosis remain unknown. We aim to employ interpretable machine learning (ML) models to study AIS and clarify its decision-making process in identifying the risk of mortality.

Methods
We conducted a retrospective cohort study involving AIS patients from January 2020 to June 2021. Patient data were randomly divided into training and test sets. Eight ML algorithms were employed to construct predictive models for mortality. The performance of the best model was evaluated using various metrics. Furthermore, we created an artificial intelligence (AI)-driven web application that leveraged the top ten most crucial features for mortality prediction.

Results
The study cohort consisted of 1633 AIS patients, among whom 257 (15.74%) developed subacute AKD, 173 (10.59%) experienced AKI recovery, and 65 (3.98%) met criteria for both AKI and AKD. The mortality rate stood at 4.84%. The LightGBM model displayed superior performance, boasting an AUROC of 0.96 for mortality prediction. The top five features linked to mortality were ACEI/ARE, renal function trajectories, neutrophil count, diuretics, and serum creatinine. Moreover, we designed a web application using the LightGBM model to estimate mortality risk.

Conclusions
Complete renal function trajectories, including AKI and AKD, are vital for fitting mortality in AIS patients. An interpretable ML model effectively clarified its decision-making process for identifying AIS patients at risk of mortality. The AI-driven web application has the potential to contribute to the development of personalized early mortality prevention.
Exploration of family caregivers’ experiences on coping in dementia care in Ghana: a phenomenological study
Authors: Duodu Precious Adade , Okyere Joshua , Simkhada Bibha , Akrong Ransford , Barker Caroline , Gillibrand Warren , Simkhada Padam 
Published: June 2024

Abstract
Background
Dementia is an important public health and geriatric concern for sub-Saharan African countries, including Ghana. Evidence shows that persons living with dementia are often supported and cared for by family caregivers in the community. In the execution of these services to the persons living with dementia, family caregivers are overwhelmed and experience heightened stress that results in serious repercussions. Therefore, the aim of this study was to explore family caregivers’ experiences on coping in dementia care in Ghana.

Methods
Adopting a descriptive phenomenological design, individual face-to-face interviews were conducted among thirty unpaid family caregivers of persons living with dementia in Ghana. Semi-structured interview guides were used. The data analysis process followed Clarke and Braun’s framework analysis.

Results
Six themes were generated from the textual data. These themes were captioned as: (1) empathy and perspective-taking; (2) family support and cohesion; (3) coaxing and pampering of persons living with dementia; (4) humour and positive communication; (5) spiritual support; and (6) ethical/moral consideration in dementia caregiving.

Conclusion
We conclude that unpaid family caregivers of persons living with dementia in Ghana adopt varied strategies to cope with the strains of caregiving. Healthcare facilities that provide services to persons living with dementia could incorporate caregiver preparatory training or education for family caregivers. This training should focus on briefing family caregivers about the potential strains that they are likely to encounter. Also, the training could focus on equipping family caregivers with the knowledge and skills to effectively communicate and care for the persons living with dementia using person-centered approaches. Key stakeholders such as the Ghana Health Service and Alzheimer’s Ghana must raise awareness about the dangers of caregivers’ violation of the autonomy and freedom of persons living with dementia as they navigate through the challenges of caregiving. Lastly, faith-based institutions need to be considered as key stakeholders in dementia interventions since they could play a critical role.
Vascular flora of Punta Arenas city: comparative analysis of composition, life forms, and biogeographic origins
Authors: Castro Sergio A. , Rojas Gloria , Jaksic Fabián M. 
Published: June 2024

AbstractThe composition of the vascular flora in Punta Arenas city, found in the city’s public spaces, was studied. The species were identified and recorded in a database, which was supplemented with information on taxonomic classification, growth habit, Raunkiaer’s life form, origin status (native or exotic), and original continent-level distribution. These data were compared with studies conducted in five other cities in central Chile, together with an analysis of compositional similarity with these cities, by using the additive complement of Simpson’s index (1– βsim). In Punta Arenas, 119 species were identified, showing a higher proportion of Gymnosperms compared to central Chilean cities. The most represented families were Asteraceae (16 species), Fabaceae (14), Rosaceae (14), Poaceae (12), and Pinaceae (10), which together accounted for 55% of the floristic richness. The compositional similarity between Punta Arenas and the other central Chilean cities ranged from 0.187 to 0.315, showing lower similarity than expected by chance (Montecarlo randomization test; P < 0.05). The primary origin distribution of Punta Arenas’ vascular flora was European, unlike central Chilean cities where it was Asian. Finally, the proportion of exotic species (91.6%) and the number of exotic species per native species (16 exotics/native) were the highest documented for cities in Chile and higher than in other 114 cities worldwide. These results indicate that Punta Arenas’ urban flora differs from the flora in central Chilean cities, not only in taxonomic composition but also in growth habit, biogeographical origin, and high level of exoticism. These differences are likely due to the city’s territorial isolation and extreme southern location (53°S), leading to a unique urban flora configuration.
Sexual dimorphism in the tardigrade Paramacrobiotus metropolitanus transcriptome
Authors: Sugiura Kenta , Yoshida Yuki , Hayashi Kohei , Arakawa Kazuharu , Kunieda Takekazu , Matsumoto Midori 
Published: June 2024

Abstract
Background
In gonochoristic animals, the sex determination pathway induces different morphological and behavioral features that can be observed between sexes, a condition known as sexual dimorphism. While many components of this sex differentiation cascade show high levels of diversity, factors such as the Doublesex-Mab-3-Related Transcription factor (DMRT) are widely conserved across animal taxa. Species of the phylum Tardigrada exhibit remarkable diversity in morphology and behavior between sexes, suggesting a pathway regulating this dimorphism. Despite the wealth of genomic and zoological knowledge accumulated in recent studies, the sexual differences in tardigrades genomes have not been identified. In the present study, we focused on the gonochoristic species Paramacrobiotus metropolitanus and employed omics analyses to unravel the molecular basis of sexual dimorphism.

Results
Transcriptome analysis between sex-identified specimens revealed numerous differentially expressed genes, of which approximately 2,000 male-biased genes were focused on 29 non-male-specific genomic loci. From these regions, we identified two Macrobiotidae family specific DMRT paralogs, which were significantly upregulated in males and lacked sex specific splicing variants. Furthermore, phylogenetic analysis indicated all tardigrade genomes lack the doublesex ortholog, suggesting doublesex emerged after the divergence of Tardigrada. In contrast to sex-specific expression, no evidence of genomic differences between the sexes was found. We also identified several anhydrobiosis genes that exhibit sex-biased expression, suggesting a possible mechanism for protection of sex-specific tissues against extreme stress.

Conclusions
This study provides a comprehensive analysis for analyzing the genetic differences between sexes in tardigrades. The existence of male-biased, but not male-specific, genomic loci and identification of the family specific male-biased DMRT subfamily provides the foundation for understanding the sex determination cascade. In addition, sex-biased expression of several tardigrade-specific genes which are involved their stress tolerance suggests a potential role in protecting sex-specific tissue and gametes.
An empirical analysis of EFL teachers’ digital literacy in Chinese higher education institutions
Authors: Feng Lei , Sumettikoon Piyapong 
Published: June 2024

AbstractIn 2022, China’s Educational Ministry, for the first time, released an industry standard for teachers’ digital literacy. This standard provides a holistic framework for teachers’ digital literacy (TDL) in five dimensions. Since few studies have investigated EFL teachers’ digital literacy, the relationships among the five dimensions proposed for EFL teachers’ digital literacy remain unknown. Therefore, this research applied a quantitative method using a five-point Likert questionnaire designed based on TDL. Ninety-two EFL teachers from two universities and one higher vocational college in China participated in this questionnaire research. Partial least squares structural equation modeling was used to assess the relationships between these five dimensions. The relationships between the five TDL dimensions were highlighted by the findings, which supported the proposed model. In addition, implications for enhancing EFL teachers’ future digital literacy have been provided to facilitate and favor EFL teachers’ digital literacy development.