bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Seven Slavic Saints: Cult, Modern Myth and Dramaturgical Interpretation in Bulgarian Culture (1869–1989)
Authors: Azmanova-Rudarska Elena 
Published: December 2024

The Seven Slavic Saints: Cult, Modern Myth and Dramaturgical Interpretation in Bulgarian Culture (1869–1989)
The paper is devoted to the literary representations of the Seven Slavic Saints in modern Bulgarian culture. The subject of analysis is dramaturgical interpretations of the saints (separately and together as a group) in 1868–1989, which reveal the specific literary-historical and socio-political conditions for the formation of a modern myth of the Holy Brothers Cyril and Methodius and their disciples in Bulgarian national thinking. The focus is on the process of the image transformation, mythologizing, ideologizing and politicizing. It is showed how the Bulgarian dramatical works and theatrical productions contribute to the multi-layered images of the saints and their work, i.e. the composition of the Slavic alphabet.

Siedmiu Świętych Mężów. Kult, nowoczesny mit i interpretacje dramatyczne w kulturze bułgarskiej (1869–1989)
Artykuł poświęcony jest literackim reprezentacjom Siedmiu Świętych Mężów w nowoczesnej kulturze bułgarskiej. Przedmiotem analizy są dramaturgiczne interpretacje świętych (osobno i razem jako grupy) z okresu 1868–1989, które ujawniają specyficzne literacko-historyczne i społeczno-polityczne warunki kształtowania się nowoczesnego mitu świętych braci Cyryla i Metodego oraz ich uczniów w bułgarskiej narracji narodowej. W centrum uwagi są procesy transformacji, mitologizacji, ideologizacji i polityzacji ich obrazów. W artykule zostało pokazane, w jaki sposób bułgarskie utwory dramatyczne i produkcje teatralne przyczyniają się do rozwijania wielowarstwowego wizerunku świętych i ich dzieła, tj. alfabetu słowiańskiego.
Personal recovery after mental illness from a cultural perspective: A scoping review
Authors: Panadevo Juliet , Kotera Yasuhiro , Køcks Nina Rodenberg , Kring Lotte Dich , Møller Stine Bjerrum 
Published: December 2024

Background: Although personal recovery has become a well-known concept in most Western countries, it remains under-recognised in non-Western countries. Aims: This scoping review aimed to investigate how culture impacts the conceptualisation of personal recovery by evaluating how well the personal recovery framework CHIME (Connectedness, Hope, Identity, Meaning and Empowerment) fits amongst individuals from non-Western ethnic origin. Method: A scoping review with systematic searches was conducted. Studies were included in the scoping review if they examined personal recovery among individuals from non-Western cultures. Articles were excluded if the target population had no experience with mental illness or had an ethnic Western origin. The review used the CHIME framework in a ‘best-fit’ framework synthesis, to understand how culture impacted the understanding and experience of recovery. A comprehensive search of five databases (PsycInfo, ProQuest, EMBASE, MEDLINE and CINAHL) resulted in the inclusion of 76 studies out of the 1,641 studies identified. The search was conducted in February 2023 and updated the same month in 2024. Results: The 76 studies demonstrated that the CHIME framework is applicable in non-Western cultures, with few adjustments to the subcategories. Generally, there was a greater emphasis on connectedness with others across all categories of CHIME, and religion was more frequently used as source to achieve the components of CHIME more often in non-Western cultures. Socio-structural factors influenced how personal recovery can be experienced, and important factors such as welfare benefits impacts recovery. Conclusion: Special attention should be given to the importance of relationships, especially family, in achieving recovery and religion should be recognised as a crucial element to experiencing connectedness, hope, identity, meaning and empowerment. To enhance the CHIME framework, integrating the sub-components shared responsibility and shared control would be beneficial. Socio-structural factors should be considered when using the CHIME framework.
Development of a predictive model for the need for early surgery in patients with adhesive small-bowel obstruction
Authors: Sun Yanhao , Hu Yilong , Sun Yuanfang 
Published: December 2024

Objective To develop a predictor of early surgical intervention in patients with adhesive small-bowel obstruction (ASBO), to optimise treatment strategies and improve patient outcomes. Methods A retrospective analysis was conducted of patients with ASBO between August 2019 and June 2024. Clinical, laboratory and imaging data were analysed. A scoring system was developed using C-reactive protein (CRP) concentration, white blood cell (WBC) count, body mass index (BMI), and imaging findings. Results The developed ASBO surgical score predicted the need for early surgery with a sensitivity of 89.6%, a specificity of 87.3%, and an area under the curve of 0.88. Patients with a score of 5 to 7 were significantly more likely to require surgical management: 75% of these patients underwent surgery, versus 4.2% in the Conservative treatment group. Key predictors of the need for surgery were high CRP concentration (>54.3 nmol/L), high WBC count (>11.0 × 109/L), BMI <22 kg/m2, maximum small intestinal diameter on computed tomography images >3.85 cm, and free fluid in the abdominal cavity. Conclusions The ASBO surgical score is a practical tool that should aid in the timely identification of patients requiring surgical intervention, and may reduce the risk of complications and improve the outcomes of patients.
Emerging Uses of Artificial Intelligence in Chronic Dermatologic Disease: A Scoping Review
Authors: Hollman Dylan , Doktorchik Chelsea , Mukovozov Ilya 
Published: December 2024

Background: Recent years have seen a surge in the use of artificial intelligence (AI) in healthcare, including dermatology. This scoping review aimed to assess the emerging applications of AI use in the context of chronic, non-neoplastic dermatologic diseases. Methods: MEDLINE, Embase, PubMed and SCOPUS were searched on August 11, 2023 using variations of the search concepts “dermatology,” “artificial intelligence,” and 12 common chronic dermatologic conditions. Article screening and data extraction were completed, and each study was categorized into themes and conditions. Results: A total of 224 unique studies were included. The most prevalent conditions that were studied in the context of AI included psoriasis (n = 67), atopic dermatitis/eczema (n = 41) and acne (n = 36). The majority of AI applications involved clinical evaluation (n = 176), images (analysis, generation or segmentation) (n = 163) and data analysis (n = 46). Clinical evaluation was further divided into 2 subthemes: diagnosis (n = 104) and disease assessment (n = 67). Diagnostic and analytic applications of AI are limited by the training datasets available (quantity of training data, image quality) and insufficient diagnostic information provided (eg, the patient’s reported history of their lesion, disease/symptom onset and risk factors). Conclusions: Common applications of AI are predominantly as an automated diagnostic tool for evaluating disease severity/characteristics, while niche and novel applications were explored further. However, recognizing the limitations of technology is critical prior to the widespread application of AI in dermatological practice. The insights from the current study can inform clinical adoption of AI in dermatology, and highlight research gaps to guide future academic initiatives.
Pain Self-Management Strategies for Hidradenitis Suppurativa Patients: An In-Person Survey Study
Authors: Huang Christina , Keller Matthew , Yang Sherry 
Published: December 2024

Background: Pain is an undermanaged symptom of hidradenitis suppurativa (HS). Relatively few studies have investigated at-home pain management measures HS patients use, the efficacy of these measures, and how they may correlate with disease severity. Objectives: The objective of this study is to survey pain management strategies used by HS patients and evaluate their efficacy. Methods: We conducted a survey study on patients with HS from April 2023 to April 2024 at the Hidradenitis Suppurativa Clinic at Thomas Jefferson University Hospital (Philadelphia, PA). We measured the usage of certain pain management options in the past year for HS patients and asked patients to rank their pain relief from each measure on a Likert scale. We also recorded the clinically determined Hurley stage for HS severity to study correlations between the Hurley stage and pain management methods used/efficacy. Results: Surveyed patients (n = 63) indicated a preference for over-the-counter (OTC) and topical pain management measures. For higher Hurley stages, rates of cannabis or prescription pain management usage were higher. Patients with Hurley stage III reported significantly greater relief from prescription opioid and non-opioid medications when compared to oral OTC medications; however, the degree of relief was considerably less than that obtained by patients with milder disease. Conclusion: Pain management can be challenging for HS patients, especially among those with higher disease severity. Of note, altered pain pathways in HS could contribute to the reduced effect of pain relief methods in more severe stages.
Beyond Arm Capacity in Chronic Stroke: Evaluating Paretic Arm Non-Use Through Arm Efficiency—A Cross-Sectional Study
Authors: Le Perf Gaël , Faity Germain , Mottet Denis , Muthalib Makii , Laffont Isabelle , Bakhti Karima 
Published: December 2024

Background After a stroke, the use of the paretic arm is determined by its capacity (what it can or cannot do). When both arms have capacity to perform a task, the choice of which arm to use must be based on another criterion, probably by comparing the efficiency of each arm. Two numerical models account for this: the capacity model (the paretic arm is chosen in preference) and the efficiency model (the most efficient arm is chosen). Objective To numerically determine whether capacity or efficiency best predict the use of the paretic arm in activities of daily living. Methods We performed numerical simulations to predict paretic arm use with either the capacity model or the efficiency model. We used the Bayesian Information Criterion (BIC) to compare the adequacy of the 2 models in predicting clinical and accelerometric data collected from 30 patients with chronic stroke. Results The efficiency model predicted arm use in activities of daily living better than the capacity model (BIC = −66.95 vs −5.89; root mean square error = 0.26 vs 0.72). Conclusions The study highlights the importance of considering efficiency when assessing paretic arm non-use. Assessing individuals’ arm efficiency should help personalize rehabilitation strategies after stroke.
Framework to Action: Developing and Implementing a Statewide Network to Expand Opioid Treatment Access Using SHIFT-Evidence in Texas
Authors: Deem Bolton Carma , Finley Erin P. , Karns-Wright Tara , Potter Jennifer S. 
Published: December 2024

Background: In Texas, the expansion of access to effective treatments for opioid use disorder remains a significant public health challenge. This study aimed to demonstrate the application of the Successful Healthcare Improvement from Translating Evidence in Complex Systems (SHIFT-Evidence) framework in developing and implementing a statewide network for office-based opioid treatment (OBOT) to underserved populations. Methods: We identified systemic gaps in access to medications for opioid use disorder (MOUD) across Texas, using a targeted needs assessment of barriers and facilitators to buprenorphine prescribing. Findings were integrated into a planning template based on SHIFT-Evidence, which guided the identification of additional barriers across the health care system and iterative selection of strategies to address implementation barriers at multiple health care system levels, drawing on the Expert Recommendations for Implementing Change taxonomy. Strategies were prioritized based on feasibility and impact. To evaluate the program’s effectiveness in expanding access to MOUD, we conducted a descriptive analysis of data from the Texas Department of State Health Services’ Clinical Management for Behavioral Health Services data system to assess geographic reach and clients served within the program. Results: Applying SHIFT-Evidence provided a structured process for identifying key barriers occurring at multiple levels (patient, prescriber, and prescriber organization) and selecting tailored strategies to address each. This approach supported the successful development and expansion of an OBOT provider network, increasing access to treatment services from 6 provider organizations (10 locations) serving 52 clients in fiscal year 2019 to 23 provider organizations (48 locations) serving 1311 clients in fiscal year 2023. Conclusions: The comprehensive, multilevel approach supported by the application of SHIFT-Evidence effectively facilitated prioritization and planning to address systemic gaps across multiple health care system levels. The successful enhancement of treatment access highlights the framework’s utility in supporting improvements within complex health care systems.
Clinical and ultrasound characteristics in patients with sars-cov-2 pneumonia, associated with hospitalization prognosis. e-covid project
Authors: Ramon Noemí Fàbrega , Bravo Marta Ortega , Cortada Gerard Torres , Culleré Joaquim Sol , Cabús Mònica Solanes , Peruga Jose María Palacín 
Published: December 2024

Abstract
Background
During the COVID-19 pandemia, the imaging test of choice to diagnose COVID-19 pneumonia as chest computed tomography (CT). However, access was limited in the hospital setting and patients treated in Primary Care (PC) could only access the chest x-ray as an imaging test. Several scientific articles that demonstrated the sensitivity of lung ultrasound, being superior to chest x-ray [Cleverley J et al., BMJ 370, 202013] and comparable to CT scan [Tung-Chen Y et al., Ultrasound Med Biol 46:2918-2926, 2020], promoted the incorporation of this technique in the assessment of COVID-19 patients in PC. [Pérez J et al., Arch. Bronconeumol 56:27-30, 2020; Gargani L et al., Eur Heart J Cardiovasc Imaging 21:941-8, 2020, Soldati G et al., J Ultrasound Med 39:1459, 2020] A prior study in our territory (Lleida, Spain) was designed to predict complications (hospital admission) of COVID-19 pneumonia in PC patients, being different patterns of Lung ultrasounds (LUS) risk factors for hospital admission. [Martínez Redondo J et al., Int J Environ Res Public Health 18:3481, 2021] The rationale for conducting this study lies in the urgent need to understand the determinants of severity and prognosis in COVID-19 patients with interstitial pneumonia, according to its lung ultrasound patterns. This research is crucial to provide a deeper understanding of how these pre-existing ultrasound patterns related to disease progression influence the medical treatment.

Methods
The objective of the study is to generate predictive models of lung ultrasound patterns for the prediction of lung areas characteristics associated with hospitalizations and admissions to the Intensive Care Unit (ICU) associated with COVID-19 disease, using ultrasound, sociodemographic and medical data obtained through the computerized medical history.

Results
A single relevant variable has been found for the prediction of hospitalization (number of total regions with potentially pathological presence of B lines) and one for the prediction of ICU admission (number of regions of the right lung with potentially pathological presence of B lines). In both cases it has been determined that the optimal point for classification was 2 or more lung affected areas. Those areas under the curve have been obtained with good predictive capacity and consistency in both cohorts.

Conclusions
The results of this study will contribute to the determination of the ultrasound prognostic value based on the number of lung areas affected, the presence of pulmonary condensation or the irregularity of pleural effusion patterns in COVID-19 patients, being able to be extended to other lung viral infections with similar patterns.
Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults
Authors: Cong Xue , Song Shuyao , Li Yingtao , Song Kaiyang , MacLeod Cameron , Cheng Yujie , Lv Jun , Yu Canqing , Sun Dianjianyi , Pei Pei , Yang Ling , Chen Yiping , Millwood Iona , Wu Shukuan , Yang Xiaoming , Stevens Rebecca , Chen Junshi , Chen Zhengming , Li Liming , Kartsonaki Christiana , Pang Yuanjie ,   on behalf of the China Kadoorie Biobank Collaborative Group
Published: December 2024

Abstract
Background
Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

Methods
Models were identified through a systematic review and categorized by the target population and outcomes (hepatocellular carcinoma [HCC] and CLD). The performance of models to predict 10-year risk of CLD was assessed by discrimination (C-index) and calibration (observed vs predicted probabilies).

Results
The systematic review identified 57 articles and 114 models (28.4% undergone external validation), including 13 eligible for validation in CKB. Models with high discrimination (C-index ≥ 0.70) in CKB were as follows: (1) general population: Li-2018 and Wen 1–2012 for HCC, CLivD score (non-lab and lab) and dAAR for CLD; (2) hepatitis B virus (HBV) infected individuals: Cao-2021 for HCC and CAP-B for CLD. In CKB, all models tended to overestimate the risk (O:E ratio 0.55–0.94). In meta-analysis, we further identified models with high discrimination: (1) general population (C-index ≥ 0.70): Sinn-2020, Wen 2–2012, and Wen 3–2012 for HCC, and FIB-4 and Forns for CLD; (2) HBV infected individuals (C-index ≥ 0.80): RWS-HCC and REACH-B IIa for HCC and GAG-HCC for HCC and CLD.

Conclusions
Several models showed good discrimination and calibration in external validation, indicating their potential feasibility for risk stratification in population-based screening programs for CLD in Chinese adults.
Si-Wu-Tang improves liver fibrosis by restoring liver sinusoidal endothelial cell functionality and reducing communication with hepatic stellate cells
Authors: Wang Le , Qu Jiaorong , Li Jianan , Xue Xiaoyong , Qin Lingling , Li Yufei , Dou Yuanfeng , Mu Xiaohong , Li Xiaojiaoyang 
Published: December 2024

Abstract
Background
Liver fibrosis is a complex reparative process in response to chronic liver injuries, with limited effective therapeutic options available in clinical practice. During liver fibrosis, liver sinusoidal endothelial cells (LSECs) undergo phenotypic changes and also play a role in modulating cellular communications. Si-Wu-Tang (SWT), a traditional Chinese herbal remedy, has been extensively studied for its effectiveness in treating hematological, gynecological and hepatic diseases.

Materials and methods
The component of SWT were identified by ultra-high-performance liquid chromatography (UHPLC). After establishing bile duct ligation (BDL)-induced liver fibrosis mice model and VEGFA-stimulated LSEC model, we invested the mechanism of SWT through RNA sequencing combined with molecular biology techniques.

Results
SWT significantly improved the sinusoidal permeability and liver fibrosis induced by BDL and effectively regulated pathological processes in LSECs, such as angiogenesis, cell adhesion, basement membrane formation and defenestration. The anti-fibrosis effects of SWT were attributed to the inhibition on LSEC adhesion via COL8A1, on LSEC angiogenesis via IL-1β and the induction of LSEC defenestration by OLR1. Additionally, SWT disrupted the intercellular crosstalk between LSECs and hepatic stellate cells (HSCs) driven by IL-1β, thus alleviating liver fibrosis.

Conclusion
SWT collectively ameliorated liver fibrosis by inhibiting the COL8A1/IL-1β/OLR1 pathways associated with LSEC angiogenesis, adhesion and defenestration, as well as suppressing LSEC secretion of IL-1β to reduce HSC activation.
GRK6 palmitoylation dictates triple-negative breast cancer metastasis via recruiting the β-Arrestin 2/MAPKs/NF-κB signaling axis
Authors: Wang Wen-Ke , Lin Hui-Yu , Lin Che-Hsuan , Lee Hsun-Hua , Chen Yen-Lin , Lin Yu-Hsien Kent , Chiu Hui-Wen , Sheen-Chen Shry-Ming , Lin Yuan-Feng 
Published: December 2024

Abstract
Background
Triple negative breast cancer (TNBC) belongs to the worst prognosis of breast cancer subtype probably because of distant metastasis to other organs, e.g. lungs. However, the mechanism underlying TNBC metastasis remains largely unknown.

Methods
Bioinformatics analysis was conducted to evaluate the mRNA/protein expression and prognostic significance of G protein–coupled receptor kinase 6 (GRK6) in BC subtypes. RT-PCR assays were used to test the GRK6 expression in human BC tissues and cell lines. The in vitro cellular migration and in vivo lung colony-forming assays were established to estimate the metastatic potentials of TNBC cells. Western blotting was employed to examine protein phosphorylation, translocation and expression in the designed experiments.

Results
Here we show that GRK6 upregulation is extensively detected in TNBC compared to normal mammary tissues and other BC subtypes and correlates with an increased risk for distant metastasis in TNBC patients. GRK6 knockdown suppressed but overexpression potentiated the cellular migration and lung colony-forming abilities of TNBC cells. Moreover, our data demonstrated that the posttranslational palmitoylation of GRK6 is extremely critical for activating β-Arrestin 2/mitogen-activated protein kinases (MAPKs)/NF-κB signaling axis and fostering the metastatic potentials of TNBC cells. Accordingly, the pharmaceutical inhibition of GRK6 kinase activity dramatically suppressed the activation of β-Arrestin 2, MAPKs and NF-κB and the cellular migration ability of highly metastatic MDA-MB231 cells. Sequentially blocking the β-Arrestin 2/MAPKs/NF-κB axis with their inhibitors predominantly mitigated the GRK6-promoted migration ability of poorly metastatic HCC1937 cells.

Conclusion
Our results not only provide a novel mechanism for TNBC metastasis but also offer a new therapeutic strategy to combat metastatic TNBC via targeting GRK6 activity.
Research advances in the construction of stem cell-derived ovarian organoids
Authors: Zhang Tianyue , Zhang Mengtong , Zhang Sichen , Wang Shaowei 
Published: December 2024

AbstractOvarian organoids are essential in female reproductive medicine, enhancing our understanding of ovarian diseases and improving treatments, which benefits women’s health. Constructing ovarian organoids involves two main processes: differentiating induced pluripotent stem cells (iPSCs) into germ and ovarian somatic cells to restore ovarian function and using extracellular matrix (ECM) to create a suitable ovarian microenvironment and scaffold. Although the technology is still in its early stages, future advancements will likely involve integrating high-throughput analysis, 3D-printed scaffolds, and efficient iPSC induction, driving progress in reproductive and regenerative medicine.