bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between problematic social networking use and anxiety symptoms: a systematic review and meta-analysis
Authors: Du Mingxuan , Zhao Chengjia , Hu Haiyan , Ding Ningning , He Jiankang , Tian Wenwen , Zhao Wenqian , Lin Xiujian , Liu Gaoyang , Chen Wendan , Wang ShuangLiu , Wang Pengcheng , Xu Dongwu , Shen Xinhua , Zhang Guohua 
Published: May 2024

AbstractA growing number of studies have reported that problematic social networking use (PSNU) is strongly associated with anxiety symptoms. However, due to the presence of multiple anxiety subtypes, existing research findings on the extent of this association vary widely, leading to a lack of consensus. The current meta-analysis aimed to summarize studies exploring the relationship between PSNU levels and anxiety symptoms, including generalized anxiety, social anxiety, attachment anxiety, and fear of missing out. 209 studies with a total of 172 articles were included in the meta-analysis, involving 252,337 participants from 28 countries. The results showed a moderately positive association between PSNU and generalized anxiety (GA), social anxiety (SA), attachment anxiety (AA), and fear of missing out (FoMO) respectively (GA:r = 0.388, 95%CI[0.362, 0.413]; SA:r = 0.437, 95%CI[0.395, 0.478]; AA:r = 0.345, 95%CI[0.286, 0.402]; FoMO:r = 0.496, 95%CI[0.461, 0.529]), and there were different regulatory factors between PSNU and different anxiety subtypes. This study provides the first comprehensive estimate of the association of PSNU with multiple anxiety subtypes, which vary by time of measurement, region, gender, and measurement tool.
Circulating long non-coding RNAs detection after heart transplantation and its accuracy in the diagnosis of acute cardiac rejection
Authors: Pérez-Carrillo Lorena , Giménez-Escamilla Isaac , González-Torrent Irene , Delgado-Arija Marta , Sánchez-Lázaro Ignacio , García-Manzanares María , Martínez-Dolz Luis , Portolés Manuel , Tarazón Estefanía , Roselló-Lletí Esther 
Published: May 2024

AbstractLong non-coding RNAs (lncRNAs) are closely implicated in biological processes and diseases with high inflammatory components. These molecules exhibit significant temporal and tissue specificity. However, the expression and function of lncRNAs have not been studied in patients after heart transplantation. Thus, we aimed to identify circulating lncRNAs in these patients and evaluate their diagnostic capacity as potential biomarkers for the non-invasive detection of acute cellular rejection (ACR). For them, we performed a transcriptomic study based on ncRNA-seq technology to detect lncRNAs in serum samples, matched to routine endomyocardial biopsies, from patients without rejection episode (0R, n = 12) and with mild (1R, n = 16) or moderate-severe (≥ 2R, n = 12) ACR. We identified 11,062 circulating lncRNAs in the serum of patients after heart transplantation. Moreover, 6 lncRNAs showed statistically significant expression when the different ACR grades were compared. Among them, AC008105.3, AC006525.1, AC011455.8, AL359220.1, and AC025279.1 had relevant diagnostic capacity for detection of ≥ 2R (AUC of 0.850 to 1.000) and 1R (AUC of 0.750 to 0.854) grades, along with high specificity and positive predictive values (≥ 83%). In addition, AL359220.1 and AC025279.1 were independent predictors for the presence of moderate-severe ACR (odds ratio = 31.132, p < 0.01 and C statistic = 0.939, p < 0.0001; odds ratio = 18.693, p < 0.05 and C statistic = 0.902, p < 0.001; respectively). In conclusion, we describe, for the first time, circulating lncRNAs after heart transplantation as potential candidates for non-invasive detection of ACR. AL359220.1 and AC025279.1 showed excellent diagnostic capability correlating with the severity episode and were strong independent predictors of rejection.
CD19-immunoPET for noninvasive visualization of CD19 expression in B-cell lymphoma patients
Authors: Sonanini Dominik , Schwenck Johannes , Blaess Simone , Schmitt Julia , Maurer Andreas , Ehrlichmann Walter , Ritter Malte , Skokowa Julia , Kneilling Manfred , Jung Gundram , Fend Falko , Krost Simon , Seitz Christian M. , Lang Peter , Reischl Gerald , Handgretinger Rupert , Fougère Christian la , Pichler Bernd J. 
Published: May 2024

AbstractCell- and antibody-based CD19-directed therapies have demonstrated great potential for treating B-cell non-Hodgkin lymphoma (B-NHL). However, all these approaches suffer from limited response rates and considerable toxicity. Until now, therapy decisions have been routinely based on histopathological CD19 staining of a single lesion at initial diagnosis or relapse, disregarding heterogeneity and temporal alterations in antigen expression. To visualize in vivo CD19 expression noninvasively, we radiolabeled anti-human CD19 monoclonal antibodies with copper-64 (64Cu-αCD19) for positron emission tomography (CD19-immunoPET). 64Cu-αCD19 specifically bound to subcutaneous Daudi xenograft mouse models in vivo. Importantly, 64Cu-αCD19 did not affect the anti-lymphoma cytotoxicity of CD19 CAR-T cells in vitro. Following our preclinical validation, 64Cu-αCD19 was injected into four patients with follicular lymphoma, diffuse large B-cell lymphoma or mantle zone lymphoma. We observed varying 64Cu-αCD19 PET uptake patterns at different lymphoma sites, both within and among patients, correlating with ex vivo immunohistochemical CD19 expression. Moreover, one patient exhibited enhanced uptake in the spleen compared to that in patients with prior B-cell-depleting therapy, indicating that 64Cu-αCD19 is applicable for identifying B-cell-rich organs. In conclusion, we demonstrated the specific targeting and visualization of CD19+ B-NHL in mice and humans by CD19-immunoPET. The intra- and interindividual heterogeneous 64Cu-αCD19 uptake patterns of lymphoma lesions indicate variability in CD19 expression, suggesting the potential of CD19-immunoPET as a novel tool to guide CD19-directed therapies.
Web-based diagnostic platform for microorganism-induced deterioration on paper-based cultural relics with iterative training from human feedback
Authors: Liu Chenshu , Ben Songbin , Liu Chongwen , Li Xianchao , Meng Qingxia , Hao Yilin , Jiao Qian , Yang Pinyi 
Published: May 2024

Abstract

Purpose
Paper-based artifacts hold significant cultural and social values. However, paper is intrinsically fragile to microorganisms, such as mold, due to its cellulose composition, which can serve as a microorganisms’ nutrient source. Mold not only can damage papers’ structural integrity and pose significant challenges to conservation works but also may subject individuals attending the contaminated artifacts to health risks. Current approaches for strain identification usually require extensive training, prolonged time for analysis, expensive operation costs, and higher risks of secondary damage due to sampling. Thus, in current conservation practices with mold-contaminated artifacts, little pre-screening or strain identification was performed before mold removal, and the cleaning techniques are usually broad-spectrum rather than strain-specific. With deep learning showing promising applications across various domains, this study investigated the feasibility of using a convolutional neural network (CNN) for fast in-situ recognition and classification of mold on paper.

Methods
Molds were first non-invasively sampled from ancient Xuan Paper-based Chinese books from the Qing and Ming dynasties. Strains were identified using molecular biology methods and the four most prevalent strains were inoculated on Xuan paper to create mockups for image collection. Microscopic images of the molds as well as their stains situated on paper were collected using a compound microscope and commercial microscope lens for cell phone cameras, which were then used for training CNN models with a transfer learning scheme to perform the classification of mold. To enable involvement and contribution from the research community, a web interface that actuates the process while providing interactive features for users to learn about the information of the classified strain was constructed. Moreover, a feedback functionality in the web interface was embedded for catching potential classification errors, adding additional training images, or introducing new strains, all to refine the generalizability and robustness of the model.

Results & Conclusion
In the study, we have constructed a suite of high-confidence classification CNN models for the diagnostic process for mold contamination in conservation. At the same time, a web interface was constructed that allows recurrently refining the model with human feedback through engaging the research community. Overall, the proposed framework opens new avenues for effective and timely identification of mold, thus enabling proactive and targeted mold remediation strategies in conservation.
Evolution of worldwide geothermal power 2020–2023
Authors: Gutiérrez-Negrín Luis C. A. 
Published: May 2024

AbstractOnly 32 countries in the world have geothermal power plants in operation, with a combined capacity of 16,318 MW installed in 198 geothermal fields with 673 individual power units. Almost 37% of those units are of flash type with a combined capacity of 8598 MW (52.7% of total), followed by binary ORC type units with 25.1% of the installed capacity. The select list of geothermal power countries continues to be headed by the US, followed by Indonesia, the Philippines and Türkiye, and generated 96,552 GWh of electricity, at an average annual capacity factor of 67.5%, which represented 0.34% of the worldwide electric generation. Electricity from geothermal origin represented more than 10% of the total generated in at least seven countries, headed by Kenya, Iceland, and El Salvador. Practically, all geothermal fields in operation are harnessing resources from hydrothermal, conventional reservoirs, through an estimate of 3700 production wells at an annual average production of almost 3 MWh per well. Things could be similar in the next few years if the current trend continues, but all can change due to the world urgency to maintain global warming below the 1.5 °C threshold in the following years.
Scanning the active center of formolase to identify key residues for enhanced C1 to C3 bioconversion
Authors: Cheng Guimin , Sun Hongbing , Wang Qian , Yang Jinxing , Qiao Jing , Zhong Cheng , Cai Tao , Wang Yu 
Published: May 2024

Abstract
Background
Formolase (FLS) is a computationally designed enzyme that catalyzes the carboligation of two or three C1 formaldehyde molecules into C2 glycolaldehyde or C3 dihydroxyacetone (DHA). FLS lays the foundation for several artificial carbon fixation and valorization pathways, such as the artificial starch anabolic pathway. However, the application of FLS is limited by its low catalytic activity and product promiscuity.

Findings
FLS, designed and engineered based on benzoylformate decarboxylase from Pseudomonas putida, was selected as a candidate for modification. To evaluate its catalytic activity, 25 residues located within an 8 Å distance from the active center were screened using single-point saturation mutagenesis. A screening approach based on the color reaction of the DHA product was applied to identify the desired FLS variants. After screening approximately 5,000 variants (approximately 200 transformants per site), several amino acid sites that were not identified by directed evolution were found to improve DHA formation. The serine-to-phenylalanine substitution at position 236 improved the activity towards DHA formation by 7.6-fold. Molecular dynamics simulations suggested that the mutation increased local hydrophobicity at the active site, predisposing the cofactor-C2 intermediate to nucleophilic attack by the third formaldehyde molecule for subsequent DHA generation.

Conclusions
This study provides improved FLS variants and valuable information into the influence of residues adjacent to the active center affecting catalytic efficiency, which can guide the rational engineering or directed evolution of FLS to optimize its performance in artificial carbon fixation and valorization.
Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver
Authors: Aumailley Lucie , Bodein Antoine , Adjibade Pauline , Leclercq Mickaël , Bourassa Sylvie , Droit Arnaud , Mazroui Rachid , Lebel Michel 
Published: May 2024

AbstractBackgroundVitamin C (ascorbate) is a water-soluble antioxidant and an important cofactor for various biosynthetic and regulatory enzymes. Mice can synthesize vitamin C thanks to the key enzyme gulonolactone oxidase (Gulo) unlike humans. In the current investigation, we usedGulo−/−mice, which cannot synthesize their own ascorbate to determine the impact of this vitamin on both the transcriptomics and proteomics profiles in the whole liver. The study includedGulo−/−mouse groups treated with either sub-optimal or optimal ascorbate concentrations in drinking water. Liver tissues of females and males were collected at the age of four months and divided for transcriptomics and proteomics analysis. Immunoblotting, quantitative RT-PCR, and polysome profiling experiments were also conducted to complement our combined omics studies.ResultsPrincipal component analyses revealed distinctive differences in the mRNA and protein profiles as a function of sex between all the mouse cohorts. Despite such sexual dimorphism, Spearman analyses of transcriptomics data from females and males revealed correlations of hepatic ascorbate levels with transcripts encoding a wide array of biological processes involved in glucose and lipid metabolisms as well as in the acute-phase immune response. Moreover, integration of the proteomics data showed that ascorbate modulates the abundance of various enzymes involved in lipid, xenobiotic, organic acid, acetyl-CoA, and steroid metabolism mainly at the transcriptional level, especially in females. However, several proteins of the mitochondrial complex III significantly correlated with ascorbate concentrations in both males and females unlike their corresponding transcripts. Finally, poly(ribo)some profiling did not reveal significant enrichment difference for these mitochondrial complex III mRNAs betweenGulo−/−mice treated with sub-optimal and optimal ascorbate levels.ConclusionsThus, the abundance of several subunits of the mitochondrial complex III are regulated by ascorbate at the post-transcriptional levels. Our extensive omics analyses provide a novel resource of altered gene expression patterns at the transcriptional and post-transcriptional levels under ascorbate deficiency.
Attention capture by own name decreases with speech compression
Authors: Li Simon Y. W. , Lee Alan L. F. , Chiu Jenny W. S. , Loeb Robert G. , Sanderson Penelope M. 
Published: May 2024

AbstractAuditory stimuli that are relevant to a listener have the potential to capture focal attention even when unattended, the listener’s own name being a particularly effective stimulus. We report two experiments to test the attention-capturing potential of the listener’s own name in normal speech and time-compressed speech. In Experiment 1, 39 participants were tested with a visual word categorization task with uncompressed spoken names as background auditory distractors. Participants’ word categorization performance was slower when hearing their own name rather than other names, and in a final test, they were faster at detecting their own name than other names. Experiment 2 used the same task paradigm, but the auditory distractors were time-compressed names. Three compression levels were tested with 25 participants in each condition. Participants’ word categorization performance was again slower when hearing their own name than when hearing other names; the slowing was strongest with slight compression and weakest with intense compression. Personally relevant time-compressed speech has the potential to capture attention, but the degree of capture depends on the level of compression. Attention capture by time-compressed speech has practical significance and provides partial evidence for the duplex-mechanism account of auditory distraction.
Unveiling emotion dynamics in problem-solving: a comprehensive analysis with an intelligent tutoring system using facial expressions and electrodermal activities
Authors: Zheng Juan , Li Shan , Wang Tingting , Lajoie Susanne P. 
Published: May 2024

AbstractEmotions play a crucial role in the learning process, yet there is a scarcity of studies examining emotion dynamics in problem-solving with fine-grained data and advanced tools. This study addresses this gap by investigating the emotional trajectories during self-regulated learning (SRL) phases (i.e., forethought, performance, and self-reflection) among 47 medical students utilizing an intelligent tutoring system. Real-time facial expressions were analyzed through recurrence quantification analysis alongside an examination of electrodermal activities (EDA) across the SRL phases. The findings reveal that emotion stability varied across SRL phases, with students exhibiting more stable emotions during the performance phase. Compared to the forethought and self-reflection phases, students had less frequent and lower intensity of emotional arousal in the performance phase. Moreover, we found that students with better performance demonstrated more stable emotions in the forethought phase, less stable emotions in the self-reflection phase, and a higher level of emotional arousal in the self-reflection phase. These insights highlight the temporal and dynamic nature of emotions in SRL, offering methodological and educational implications for leveraging facial expressions and EDA to monitor and enhance students’ emotional experience during problem-solving.
Family business sustainability: the impact of governance and women’s empowerment in Saudi Arabia
Authors: Al Rawaf Razan Abdullah , Alfalih Abdulaziz Abdulmohsen 
Published: May 2024

AbstractDue to their strong emotional interest and ownership control, family firm owners significantly influence their firm’s strategies and governance, which has consequences for their business sustainability practices. The failure to establish or maintain formal organizational structures, and adopt good governance principles, may hinder family firms in their pursuit of long-term sustainability. This study empirically investigated the impact of corporate governance on family firms’ sustainability, with women’s empowerment and culture as moderating and mediating factors, respectively. Data for the study were obtained from a sample of 126 family firms from Saudi Arabia. The study adopted the partial least squares structural equation modelling (PLS-SEM) method. The study results empirically confirmed that corporate governance is positively associated with women’s empowerment, which also assists in achieving business sustainability in family-controlled firms. The adoption of good corporate governance policies, and empowerment of women through their appointment on corporate boards operating in a supportive culture, can reinforce an organization’s mission, purpose and strategies, which can create an enabling environment for family business sustainability.
Child sexual abuse, adolescent/adult sexual violence, and sexual functioning among college women: a systematic review
Authors: Bhuptani Prachi H. , Mayer Elizabeth , Chan Georgia , Orchowski Lindsay M. 
Published: May 2024

AbstractBackgroundSexual violence, including childhood sexual abuse and adolescent/adult sexual assault, is a major public health concern, especially for college women. Sexual violence is associated with numerous negative consequences, including difficulties relating to sexual functioning. The current systematic review aimed to synthesize the existing research literature examining the association between sexual violence on sexual functioning among college women.MethodsOnly peer-reviewed articles reporting original data and written in English, which assessed for sexual functioning and sexual violence among a sample of college women, were included in the review. Articles were included if the research study assessed sexual violence occurring in childhood, adolescence, or adulthood.ResultsA total of 21 articles met these inclusion criteria and were included in the synthesis of the literature. In studies of college women, sexual violence occurring in adulthood was associated with worse sexual functioning outcomes among college women in 7 of the 21 studies. Findings were mixed regarding the association between childhood sexual abuse and sexual functioning among college women. Further, in three studies, psychological symptoms (e.g., depression, anxiety) mediated the association between sexual violence in adulthood and worse sexual functioning among college women. Studies varied in what domains of sexual functioning were assessed, and as a result, a limited number of studies included assessments of the same domain of sexual functioning. Further, some studies did not assess sexual violence at multiple points in development (i.e., childhood, adolescence, adulthood).ConclusionsFuture studies with longitudinal designs and a wider range of sexual functioning outcomes are needed, including studies focused on women attending 2-year and technical colleges.
Berberine in the treatment of type 2 diabetes - literature review
Authors: Mazurek Aleksandra , Pawlicki Mateusz , Stachyrak Karol , Mika Dawid , Mazur Bartosz , Turek Kamila , Lambach Maciej , Greguła Anna , Kłos Aleksandra , Wilanowska Wiktoria 
Published: May 2024

Introduction and purpose :
Type 2 diabetes is currently a serious problem worldwide. Each year, the number of individuals with carbohydrate metabolism disorders is increasing. This is due to an unhealthy lifestyle, lack of physical activity, and a diet rich in highly processed foods. Currently, the treatment of type 2 diabetes is based on the use of oral antidiabetic medications, with the first choice often being a derivative of biguanides, such as metformin. Berberine has been used in China for many years as a hypoglycemic agent, and its efficacy is compared to metformin preparations. This paper focuses on the benefits of using berberine in patients with prediabetes or type 2 diabetes and compares the effects of berberine preparations to classical medications used in diabetes treatment.

Material and methods :
The literaue was reviewed in PubMed and Google Scholar scientific database in 2013-2023 using the following keywords : berberine, diabetes mellitus type 2, hyperlipidemia, hyperglicemia
Conclusions :
The studies included in this manuscript have shown that berberine is a promising agent for adjunctive treatment in type 2 diabetes. It exhibits a range of positive effects such as lowering blood glucose levels, improving lipid profile, with no serious adverse effects reported. However, further research is needed to confirm these findings and develop an effective treatment plan.