bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skills to enhance the efficacy of anti-racist supervision
Authors: Bussey Sarah Ross 
Published: January 2024

Summary In a time of increased social division, overt bigotry, and pervasive structural violence, social workers have an opportunity to lead the helping professions in meaningful social transformation. Social work supervisors play a central role in developing and guiding ethical social work practice. Yet, little empirically driven scholarship exists providing supervisors with strategies for disrupting racism and bias in the practice of their supervisees. This exploratory qualitative study employs a grounded theory approach to unearth such strategies. Fifteen participants with social work supervisory experience, who identified as anti-racist, offered insights into in vivo approaches to disrupting racism in social work practice. Findings The findings from this study emphasize the importance of a strong supervisory foundation, comprised of centering race and being in authentic relationship with staff. Further, strategies such as assessing the race consciousness of staff create the foundation to employ competencies for efficacious anti-racist supervision including taking space versus pausing, providing incremental pedagogical scaffolding, and leveraging a foundational supervisory skillset. Applications These strategies represent tangible approaches social work supervisors might employ when engaging in anti-racist practice with their staff.
Patients’ perceptions on outcomes after mechanical thrombectomy in acute ischemic stroke
Authors: Thanki Shail , Pressman Elliot , Jade Kassandra M , Skanes Ruby , Armouti Ahmad , Guerrero Waldo R , Vakharia Kunal , Parthasarathy Ashwin B , Fargen Kyle , Mistry Eva A , Nimjee Shahid M , Hassan Ameer E , Mokin Maxim 
Published: January 2024

Background The modified Rankin Scale (mRS) is a clinician-reported scale that measures the degree of disability in patients who suffered a stroke. Patients’ perception of a meaningful recovery from severe stroke, expected value of a stroke intervention, and the effect of disparities are largely unknown. Methods We conducted a survey of patients, their family members, and accompanying visitors to understand their personal preferences and expectations for acute strokes potentially eligible for acute endovascular intervention using a hypothetical scenario of a severe stroke in a standardized questionnaire. Results Of 164 survey respondents, 65 (39.6%) were the patient involved, 93 (56.7%) were a family member, and six (3.7%) were accompanied visitors (friends, other). Minimally acceptable disability after a stroke intervention was considered as mRS 2 by 42 respondents (25.6%), as mRS 3 by 79 (48.2%), and as mRS 4 by 43 (26.2%) respondents. Race was associated with different views on this question ( p < 0.001; Hispanic and Black patients being more likely to accept disability than Caucasian and Asian patients), while sex ( p = 0.333) and age ( p = 0.560) were not. Sixty-three respondents (38.4%) viewed minimally acceptable probability of improvement with an intervention as over 50%, 57 (34.8%) as 10–50%, and 44 (26.8%) as less than 10%. Conclusions A wide range of acceptable outcomes were reported regardless of gender or age. However, race was associated with different acceptable outcome. This is an important finding to demonstrate because of the persistent racial and ethnic disparities in the utilization of endovascular therapy for acute stroke in the United States.
Toward a Future Orientation: A Supportive Mental Health Facility Environment
Authors: Hagerup Anne , Wijk Helle , Lindahl Göran , Olausson Sepideh 
Published: January 2024

Background: The provision of supportive environments is essential in clinical and environmental psychology. Mental health disorders are a major issue, and the experience of being at a mental health facility is affected by numerous factors related to the building’s design. Aim: The aim of this study is to explore the expectations of a mental health facility planning group regarding the potential impact of a supportive design on patients’ mental health and staff’s therapeutic practices when planning and designing a new mental health facility. Methods: The new mental health facility is a case study and data were collected through qualitative in-depth interviews with nine participants and analyzed using a thematic analysis. The participants came from a mental health facility planning group in a new mental health facility in Norway. Results: The overall expectation of the new building was related to a future orientation to support patients’ mental health and therapeutic practices. Three main themes were identified: toward a future orientation, supportive building design, and work environment. Conclusions: Supportive environments are expected to influence patients’ mental health and staff’s therapeutic practices, including providing options for novel treatment needs in contrast to older and more outdated buildings that are perceived as hindering appropriate treatment conditions.
Perceptions and Experiences of Pursuing Research Among Medical Students in Problem-Based Learning Curriculum: A Cross-Sectional Study from Qatar
Authors: Al-Subai Reem R , Kaleem Muhammad Z , Hassanien Doaa , Eldestawy Meral , Hamwi Mahmoud N , Elsayed Engy , Al-Kawari Amal S , H Farooqi Habib , Daher-Nashif Suhad 
Published: January 2024

OBJECTIVES Early introduction to research prepares medical students for the practice of evidence-based medicine. Few studies have examined the experiences of research among medical students in the Arab region. This study assesses medical students’ experiences in pursuing research at the national College of Medicine (CMED) in the state of Qatar. METHODS This cross-sectional study was conducted using an online questionnaire distributed through Google Forms. The inclusion criteria called for students over 18 years old enrolled in the college in Years 2 to 6 (pre-clinical and clinical phases) during the spring semester of 2022. The questionnaire included 5 sections with multiple-choice questions and 5-point Likert-scale questions. The questionnaire was validated using esperts review and by piloting it on 10% of the eligible students. STATA 17.0 was used to perform the statistical analysis, which involved a logistic regression and Mann–Whitney U test. RESULTS The study had 179 student participants (over half of the eligible group). Half were in the preclinical phase, and half were in the clinical phase. Approximately half had published at least 1 paper. For voluntary research, the main motivators were passion and positive past experiences, while the main demoralizer was inadequate time. For mandatory medical-student research, supervisor help was the main facilitator, and an academic load leaving insufficient time for research was the main barrier. The factors positively influencing voluntary research participation were being older, being male, studying in a more advanced program phase, and having a lower score for negative attitudes toward research. The main limitation of the study was the inclusion of only 1 medical school with 1 type of curriculum. CONCLUSIONS Our findings suggest that better research experience can be ensured by providing space, time, and proper academic and moral support to students. The authors believe that doing so will indirectly positively affect the future translation of skills in evidence-based medicine into clinical practice.
Biochemical and Functional Characterization of Plasma Derived Human Celestrase 1
Authors: Dolia Sheetal , Verma Sachin , Ray Suma 
Published: January 2024

Background C1-esterase inhibitor (C1-INH) is a protein derived from fresh frozen human plasma and is widely used in the treatment of Hereditary Angioedema. C1-INH product must have high purity with preserved functionality. Objective The aim of the study was to perform extensive characterization of human C1-esterase inhibitor (Celestrase 1) with special emphasis on functionality of the protein by different mechanisms along with its purity and structural elucidation. Design Comparative study. Methods This study describes the purification and characterization of an economically viable, highly pure and efficient human plasma-derived C1-INH prepared from cryopoor plasma by combination of chromatography steps, capable of removing protein contaminants. The purification process includes two orthogonal virus clearance steps -solvent detergent and virus retentive filtration and further, characterized by various biochemical and functional assays along with other commercially available entities. Results The developed process yields 0.75  ±  0.1 vials of C1-INH /L of cryopoor plasma with 44.4  ±  3.6% overall process recovery. Celestrase 1 shows comparability with an existing market comparator, with respect to its purity by different methods. Celestrase 1 proved its functionality in binding irreversibly to the complement protein by classical pathway of the complement system and in the Kallikrein system. Additionally, the antigen-to-biologic activity ratio an indicative of the functionality for Celestrase 1 (0.94) was found comparable to market comparator (0.79). Identity of the product was confirmed by Western blot analysis. The structural analysis of Celestrase 1 was found to be similar to market comparator and exists predominantly in α-helix secondary structure by Far UV Circular Dichroism (CD). Conclusion For the treatment of Hereditary Angioedema (HAE), the current study presents a pure, safe, and functionally efficient product that can meet the therapeutic needs of patients deficient in C1-INH.
Novel nanoparticle CS-C60-Fe3O4 magnetically induces tissue-specific aggregation and enhances thermal ablation of hepatocellular carcinoma
Authors: Sun Jie , Chang Zhengyao , Gao Xudong , Sun Huiwei , Chai Yantao , Li Xiaojuan , Zhang Xiaoming , Feng Fan 
Published: January 2024

AbstractMetallofullerenes are an important type of metallic nanomaterial with promising applications in several medical fields. Thermal ablation, including radiofrequency ablation (RFA) and microwave ablation (MWA), is an important treatment strategy for advanced hepatocellular carcinoma (HCC). The thermal expansion of fullerenes makes them good adjuncts to thermal ablation treatment of HCC. In this study, we used an innovative method of emulsification and cross-linking to produce CS-C60-Fe3O4 (Chitosan-C60-Fe3O4) nanoparticles, which have the advantages of uniform particle size and high bioavailability, as a kind of novel nano-pharmaceutical. The CS-C60-Fe3O4 nanoparticles were prepared by the cross-linking reaction from chitosan–acetic acid solution, Fe3O4 nanoparticles by Fe2SO4·7H2O and FeCl3·6H2O, and C60. The average particle size of CS-C60-Fe3O4 was 194.3 nm. Because CS-C60-Fe3O4 is magnetic, it can achieve specific and tissue aggregation in HCC tumor tissues. Moreover, compared with normal soluble C60 (EL35-C60), CS-C60-Fe3O4 prolonged the retention time of C60 in the blood of mice. CS-C60-Fe3O4 alone is not cytotoxic to cultured cells or tumor tissues, but when combined with thermal ablation strategies (RFA and MWA), it significantly upregulates the antitumor effects of thermal ablation on HCC tissues, that is, it acts as a sensitiser to thermal ablation. In the presence of thermal ablation, CS-C60-Fe3O4 interfered with iron metabolism in HCC cells and induced ferroptosis of HCC cells in the tumor tissues. These results not only expand our understanding of metallofullerenes but also provide additional options for the treatment of advanced HCC.
Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates
Authors: Yao Tianhua , Chen Xicheng , Wang Haojia , Gao Chengcheng , Chen Jia , Yi Dali , Wei Zeliang , Yao Ning , Li Yang , Yi Dong , Wu Yazhou 
Published: January 2024

Abstract
Background
Previously, many methods have been used to predict the incidence trends of infectious diseases. There are numerous methods for predicting the incidence trends of infectious diseases, and they have exhibited varying degrees of success. However, there are a lack of prediction benchmarks that integrate linear and nonlinear methods and effectively use internet data. The aim of this paper is to develop a prediction model of the incidence rate of infectious diseases that integrates multiple methods and multisource data, realizing ground-breaking research.

Results
The infectious disease dataset is from an official release and includes four national and three regional datasets. The Baidu index platform provides internet data. We choose a single model (seasonal autoregressive integrated moving average (SARIMA), nonlinear autoregressive neural network (NAR), and long short-term memory (LSTM)) and a deep evolutionary fusion neural network (DEFNN). The DEFNN is built using the idea of neural evolution and fusion, and the DEFNN + is built using multisource data. We compare the model accuracy on reference group data and validate the model generalizability on external data. (1) The loss of SA-LSTM in the reference group dataset is 0.4919, which is significantly better than that of other single models. (2) The loss values of SA-LSTM on the national and regional external datasets are 0.9666, 1.2437, 0.2472, 0.7239, 1.4026, and 0.6868. (3) When multisource indices are added to the national dataset, the loss of the DEFNN + increases to 0.4212, 0.8218, 1.0331, and 0.8575.

Conclusions
We propose an SA-LSTM optimization model with good accuracy and generalizability based on the concept of multiple methods and multiple data fusion. DEFNN enriches and supplements infectious disease prediction methodologies, can serve as a new benchmark for future infectious disease predictions and provides a reference for the prediction of the incidence rates of various infectious diseases.
Predicting microbial interactions with approaches based on flux balance analysis: an evaluation
Authors: Joseph Clémence , Zafeiropoulos Haris , Bernaerts Kristel , Faust Karoline 
Published: January 2024

Abstract
Background
Given a genome-scale metabolic model (GEM) of a microorganism and criteria for optimization, flux balance analysis (FBA) predicts the optimal growth rate and its corresponding flux distribution for a specific medium. FBA has been extended to microbial consortia and thus can be used to predict interactions by comparing in-silico growth rates for co- and monocultures. Although FBA-based methods for microbial interaction prediction are becoming popular, a systematic evaluation of their accuracy has not yet been performed.

Results
Here, we evaluate the accuracy of FBA-based predictions of human and mouse gut bacterial interactions using growth data from the literature. For this, we collected 26 GEMs from the semi-curated AGORA database as well as four previously published curated GEMs. We tested the accuracy of three tools (COMETS, Microbiome Modeling Toolbox and MICOM) by comparing growth rates predicted in mono- and co-culture to growth rates extracted from the literature and also investigated the impact of different tool settings and media. We found that except for curated GEMs, predicted growth rates and their ratios (i.e. interaction strengths) do not correlate with growth rates and interaction strengths obtained from in vitro data.

Conclusions
Prediction of growth rates with FBA using semi-curated GEMs is currently not sufficiently accurate to predict interaction strengths reliably.
Characterization and gene expression analysis reveal universal stress proteins respond to abiotic stress in Gossypium hirsutum
Authors: Li Yunqing , Zheng Ao , Li Zhuang , Wang Hu , Wang Jing , Dong Zhanghui , Yao Lina , Han Xiao , Wei Fei 
Published: January 2024

Abstract
Background
Universal stress proteins (USPs) are a class of stress-induced proteins that play a crucial role in biotic and abiotic stress responses. These proteins have previously been reported to participate directly in responses to various stress and protect plants against unfavorable environmental conditions. However, there is limited research on USPs in cotton, and systematic characterization of USPs in Gossypium species is lacking.

Results
In the present study, the USP genes in Gossypium hirsutum were systematically identified and classified into six distinct subfamilies. The expansion of USPs in Gossypium species is mainly caused by dispersed duplication and whole genome duplication. Notably, the USPs that have expanded through allotetraploidization events are highly conserved in the allotetraploid species. The promoter regions of GhUSPs contain a diverse range of cis-acting elements associated with stress response. The RNA-Seq analysis and RT-qPCR assays revealed a significant induction of numerous GhUSPs expressions in response to various abiotic stresses. The co-expression network of GhUSPs revealed their involvement in stress response.

Conclusions
This study systematically analyzed the biological characteristics of GhUSPs and their response to abiotic stress. These findings serve as a theoretical basis for facilitating the breeding of cotton varieties in future research.
ASAP: a platform for gene functional analysis in Angelica sinensis
Authors: Wu Silan , Da Lingling , Xiao Qiaoqiao , Pan Qi , Zhang Jinqiang , Yang Jiaotong 
Published: January 2024

Abstract
Background
Angelica sinensis (Danggui), a renowned medicinal orchid, has gained significant recognition for its therapeutic effects in treating a wide range of ailments. Genome information serves as a valuable resource, enabling researchers to gain a deeper understanding of gene function. In recent times, the availability of chromosome-level genomes for A. sinensis has opened up vast opportunities for exploring gene functionality. Integrating multiomics data can allow researchers to unravel the intricate mechanisms underlying gene function in A. sinensis and further enhance our knowledge of its medicinal properties.

Results
In this study, we utilized genomic and transcriptomic data to construct a coexpression network for A. sinensis. To annotate genes, we aligned them with sequences from various databases, such as the NR, TAIR, trEMBL, UniProt, and SwissProt databases. For GO and KEGG annotations, we employed InterProScan and GhostKOALA software. Additionally, gene families were predicted using iTAK, HMMER, OrholoFinder, and KEGG annotation. To facilitate gene functional analysis in A. sinensis, we developed a comprehensive platform that integrates genomic and transcriptomic data with processed functional annotations. The platform includes several tools, such as BLAST, GSEA, Heatmap, JBrowse, and Sequence Extraction. This integrated resource and approach will enable researchers to explore the functional aspects of genes in A. sinensis more effectively.

Conclusion
We developed a platform, named ASAP, to facilitate gene functional analysis in A. sinensis. ASAP (www.gzybioinformatics.cn/ASAP) offers a comprehensive collection of genome data, transcriptome resources, and analysis tools. This platform serves as a valuable resource for researchers conducting gene functional research in their projects, providing them with the necessary data and tools to enhance their studies.
Genetic basis of nectar guide trichome variation between bumblebee- and self-pollinated monkeyflowers (Mimulus): role of the MIXTA-like gene GUIDELESS
Authors: Chen Hongfei , Yuan Yao-Wu 
Published: January 2024

AbstractNectar guide trichomes play crucial ecological roles in bee-pollinated flowers, as they serve as footholds and guides for foraging bees to access the floral rewards. However, the genetic basis of natural variation in nectar guide trichomes among species remains poorly understood. In this study, we performed genetic analysis of nectar guide trichome variation between two closely related monkeyflower (Mimulus) species, the bumblebee-pollinated Mimulus lewisii and self-pollinated M. parishii. We demonstrate that a MIXTA-like R2R3-MYB gene, GUIDELESS, is a major contributor to the nectar guide trichome length variation between the two species. The short-haired M. parishii carries a recessive allele due to non-synonymous substitutions in a highly conserved motif among MIXTA-like MYB proteins. Furthermore, our results suggest that besides GUIDELESS, additional loci encoding repressors of trichome elongation also contribute to the transition from bumblebee-pollination to selfing. Taken together, these results suggest that during a pollination syndrome switch, changes in seemingly complex traits such as nectar guide trichomes could have a relatively simple genetic basis, involving just a few genes of large effects.
Electroacupuncture alleviates ventilator-induced lung injury in mice by inhibiting the TLR4/NF-κB signaling pathway
Authors: Zhang Shuang , Li Shuji , Liu Qingmei , Wei Daneng , Huang Liping , Yin Hong , Yi Mingliang 
Published: January 2024

Abstract
Objective
This study was aimed to explore the protective effect of electroacupuncture (EA) pretreatment at Zusanli point (ST36) on ventilation-induced lung injury (VILI) and its potential anti-inflammatory mechanism.

Methods
High tidal volume ventilation was used to induce the VILI in mice, and EA pretreatment at ST36 was given for 7 consecutive days. The wet/dry ratio and pathological injury score of lung tissue, and total protein content of pulmonary alveolar lavage fluid (BALF) were detected after 4 h of mechanical ventilation (MV). Meanwhile, the expressions of TLR4 and NF- κB in lung tissue were evaluated by Western Blot, and the inflammatory factors in lung tissue were detected by ELISA.

Results
After four hours of mechanical ventilation, mice with ventilator-induced lung injury showed significant increases in lung wet/dry ratio, tissue damage scores, and protein content in bronchoalveolar lavage fluid. Pro-inflammatory cytokines (IL-6, IL-1β, TNF-α) and TLR4/NF-κB expression levels in the lung were also markedly elevated (P < 0.05). Conversely, ST36 acupuncture point pre-treatment significantly reduced these parameters (P < 0.05).

Conclusion
EA pretreatment at ST36 could alleviate the inflammatory response for VILI via inhibiting TLR4/NF- κB pathway.