bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toward humanistic healthcare through dystopian visions: Sally Wiener Grotta’s “One Widow’s Healing”
Authors: Kang Meeyoung 
Published: February 2025

Abstract

Background
Critical medical humanities critique the traditional medical humanities’ focus on producing humane doctors, arguing that it plays only a supplementary role in medical education, and advocate for understanding health, disease, and humanity from a biocultural perspective. Essentially, they emphasize structural inequalities in modern medicine.

Methods
This study analyzes Sally Wiener Grotta’s “One Widow’s Healing” from the perspective of critical medical humanities. In line with this critical perspective, this study highlights the human alienation and oppression caused by biopower and technology-driven medicine in “One Widow’s Healing.”

Results
This story presents a dystopian vision of future healthcare systems in the highly technologically advanced and hyper-connected societies of 2100 and advocates for a reorientation of medicine toward a holistic, culturally informed practice that prioritizes human well-being and empathy.

Conclusions
By analyzing the literary response to the dystopian future, this study explores the potential dangers at the intersection of capitalism and technocentric healthcare, reflecting on the future direction of humanistic medicine.
Biomarkers to predict the outcomes of surgical intervention for aortic dissection
Authors: Hanna Abanob G. , Contreras Fabian Jimenez , Sharaf Omar M. , Stinson Griffin P. , Hess Philip J. 
Published: February 2025

Abstract

Purpose
Aortic dissections and repairs are associated with high rates of mortality. The aim of this review is to summarize the literature concerning the prognostic ability of various preoperative biomarkers for patients undergoing surgical repair of the thoracic and abdominal aorta to elucidate whether these biomarkers could improve the selection of surgical candidates.

Methods
Relevant biomarkers were selected if they had predictive value in inflammatory disease processes and/or cardiovascular disease. Full-text articles available in English on PubMed that related these biomarkers to the prognosis of aortic repair following aortic dissection were examined.

Results
For patients who underwent repair for type A dissection, a preoperative elevated SII was associated with inferior 30-day survival (hazard ratio: 3.532, 95% confidence interval: 1.719–7.255, p = 0.001) and increased rates of adverse cardiovascular events. Elevated preoperative IL-6 and D-dimer levels were independently associated with single-organ dysfunction, multiorgan dysfunction, and death. The use of a combination of markers was a stronger predictor. The areas under the curve (AUCs) for the specified IL-6 and D-dimer cutoff values were 0.901 and 0.817, respectively, whereas the AUC reached 0.936 when IL-6 was combined with D-dimer. For patients who underwent thoracic endovascular aortic repair (TEVAR) for type B dissection, an elevated postoperative systemic immune-inflammation index (SII) was an independent risk factor for aorta-related complications, graft failure, and significantly inferior freedom from aortic-related mortality. A combination of elevated preoperative and postoperative SII values was again predictive of in-hospital adverse outcomes and follow-up complications, including endoleaks, branch artery stenosis, distal aortic expansion, aortic rupture, and death (p = 0.0016). An elevated preoperative neutrophil‒leukocyte ratio (NLR) is associated with an increased incidence of early postoperative adverse events and poor survival.

Conclusions
Inflammatory markers seem to have predictive ability for postoperative outcomes after aortic repair in type A dissections. Further studies should compare these biomarkers to determine the best predictive marker for individual disease states and surgeries.
Targeting CXCL8 signaling sensitizes HNSCC to anlotinib by reducing tumor-associated macrophage-derived CLU
Authors: Hu Xin , Ji Yikang , Zhang Mi , Li Zhihui , Pan Xinhua , Zhang Zhen , Wang Xu 
Published: February 2025

Abstract

Background
Although nutrition-starvation therapy for malignancies such as HNSCC is highly desirable, the clinical outcomes remain disappointing. Understanding the spatial heterogeneity of glucose deficiency can reveal the molecular mechanisms regulating cancer metabolism and identify therapeutic targets to improve effective nutrient-starvation therapies.

Methods
Multiple omics data from RNA-seq, proteomics and spatial transcriptome analyses of HNSCC samples were integrated to analyze the spatial heterogeneity of glucose deficiency. In vivo and in vitro CXCL8 and CLU expression levels in tumor cells were determined using qPCR, immunohistochemistry and ELISA. The ability of CLU from TAMs to respond to tumor-derived CXCL8 was assessed using RNA sequencing, siRNA silencing, immunofluorescence and CCK-8 assays. A mouse subcutaneous xenograft model was used to assess the outcomes of nutrition-starvation therapy combined with blockade of CXCL8 signaling.

Results
A set of genes that was significantly upregulated in HNSCC under conditions of glucose deficiency was identified using integrating multiple omics data analyses. The upregulated gene set was used to determine the glucose-deficient area according to transcriptome data of HNSCC, and CXCL8 was one of the most highly upregulated genes. The levels of both CXCL8 mRNA and its protein IL-8 in cancer cells under conditions of glucose deficiency were increased in an NF-κB-dependent manner. Supplementary IL-8 stimulated TAMs to synthesize CLU, and CLU counteracted oxidative stress in HNSCC cells under conditions of glucose deficiency. Moreover, pharmacological blockade of CXCL8 signaling (reparixin) sensitized HNSCC cells to nutrient-starvation therapy (anlotinib) in two xenograft models.

Conclusion
Our results provide novel evidence of a feedback loop between cancer cells and TAMs in glucose-deficient regions. HNSCC-derived CXCL8 favors endogenous antioxidative processes and confers therapeutic resistance to nutrient-starvation therapies in HNSCC.

Graphical Abstract
Developing a risk score using liquid biopsy biomarkers for selecting Immunotherapy responders and stratifying disease progression risk in metastatic melanoma patients
Authors: Azzariti Amalia , De Summa Simona , Marvulli Tommaso M. , De Risi Ivana , De Palma Giuseppe , Di Fonte Roberta , Fasano Rossella , Serratì Simona , Strippoli Sabino , Porcelli Letizia , Guida Michele 
Published: February 2025

Abstract

Background
Despite the high response rate to PD-1 blockade therapy in metastatic melanoma (MM) patients, a significant proportion of patients do not respond. Identifying biomarkers to predict patient response is crucial, ideally through non-invasive methods such as liquid biopsy.

Methods
Soluble forms of PD1, PD-L1, LAG-3, CTLA-4, CD4, CD73, and CD74 were quantified using ELISA assay in plasma of a cohort of 110 MM patients, at baseline, to investigate possible correlations with clinical outcomes. A clinical risk prediction model was applied and validated in pilot studies.

Results
No biomarker showed statistically significant differences between responders and non-responders. However, high number of significant correlations were observed among certain biomarkers in non-responders. Through univariate and multivariate Cox analyses, we identified sPD-L1, sCTLA-4, sCD73, and sCD74 as independent biomarkers predicting progression-free survival and overall survival. According to ROC analysis we discovered that, except for sCD73, values of sPD-L1, sCTLA-4, and sCD74 lower than the cut-off predicted lower disease progression and reduced mortality. A comprehensive risk score for predicting progression-free survival was developed by incorporating the values ​​of the two identified independent factors, sCTLA-4 and sCD74, which significantly improved the accuracy of outcome prediction. Pilot validations highlighted the potential use of the risk score in treatment-naive individuals and long responders.

Conclusion
In summary, risk score based on circulating sCTLA-4 and sCD74 reflects the response to immune checkpoint inhibitor (ICI) therapy in MM patients. If confirmed, through further validation, these findings could assist in recommending therapy to patients likely to experience a long-lasting response.
GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series
Authors: ElHaj Khalid , Alshamsi Dalal 
Published: February 2025

Abstract
Groundwater is a vital global resource. However, mapping aquifers remains challenging, particularly in developing nations. This study proposes a novel methodology for aquifer delineation using time-series clustering of groundwater-level data. The modular clustering framework utilizes hierarchical agglomerative clustering and a custom hydrology-specific distance function. This accounts for the variability in the length, temporal position, and consistency of the time series, in addition to gaps in records, aligning them temporally before comparison. Advantages over traditional techniques such as dynamic time warping, and Euclidean distance are provided for analyzing real-world hydrological data. The algorithm was optimized on a synthetic Texas aquifer dataset to identify the minimum time series lengths required for accurate clustering (> 90% accuracy). Applying this to real data from the Texas Groundwater Database GWDB with over one million readings and 60,000 wells, the modeling achieved ~ 73% accuracy, delineating the nine major Texan aquifers using a filtered number of 74 representative wells. The aquifer boundaries were geographically visualized using the GeoZ library. These findings suggest the effectiveness of groundwater characterization given the limited data. The optimized algorithm could provide inexpensive mapping capabilities in developing nations, requiring only historical data from existing wells over the decades. This technique is adaptive and can be improved through ongoing monitoring. The algorithm components are modular and upgradable thus future studies should optimize and test their generalizability using additional datasets.
How to help children succeed: the impact of parenting styles on access to quality higher education
Authors: Xu Danhong , Gui Yong 
Published: February 2025

Abstract
What type of parenting style can help children succeed? Academic discussions on this issue are divided into two different theoretical perspectives: cultural reproduction and cultural mobility. This study uses data from the 2017 Survey on the Social Mentality of Chinese College Students to empirically analyze the impact of parenting styles on children’s access to quality higher education. The results indicate that parenting styles not only act as an intermediary mechanism of family socioeconomic status in influencing children’s access to quality higher education but also have an independent effect. Among the various parenting styles, permissive parenting style is more conducive to children gaining admission to elite universities.
Social network analysis of key stakeholders in Brucellosis prevention in Western Iran
Authors: Behzadifar Meysam , Yarahmadi Mohammad , Bakhtiari Ahad , Kargar Sahar , Shahabi Saeed , Azari Samad , Martini Mariano , Behzadifar Masoud 
Published: February 2025

Abstract

Background
Brucellosis remains a persistent public health challenge in Iran, particularly in rural regions such as Lorestan province, due to systemic, economic, and cultural barriers. Effective disease control requires multisectoral collaboration among stakeholders. This study aimed to map the stakeholder network involved in brucellosis prevention in Lorestan province, identify gaps in coordination, and provide actionable recommendations for improving control strategies.

Methods
This cross-sectional study employed social network analysis (SNA) to explore the relationships among key stakeholders in brucellosis prevention. Data were collected through a structured questionnaire administered to 75 experts from various sectors, including health, veterinary, agriculture, and non-governmental organizations. The SNA evaluated network density, clustering coefficient, and centrality metrics to determine the levels of collaboration and influence among stakeholders.

Results
The analysis revealed a moderately dense network (density: 0.2745; clustering coefficient: 0.2839) with central roles played by the Veterinary Organization of Lorestan Province, Lorestan University of Medical Sciences, and the Ministry of Agriculture. These organizations exhibited high levels of influence, support, and interest in brucellosis prevention. However, limited involvement of community-based organizations and environmental agencies was identified, highlighting a critical gap in grassroots engagement. Fragmented coordination was particularly evident in rural areas, where traditional livestock practices, inadequate veterinary services, and the consumption of unpasteurized dairy products perpetuate disease transmission. Economic constraints, such as the high cost of vaccines, along with limited public awareness, further hinder effective control efforts.

Conclusions
Brucellosis prevention in Lorestan province requires a comprehensive, multisectoral approach. The adoption of a One Health framework can improve collaboration among stakeholders, enhance resource allocation, and address systemic barriers. Community engagement and intersectoral coordination are essential for improving public awareness and compliance with preventive measures. These findings provide a foundation for developing a National Brucellosis Control Program and inform strategies to mitigate zoonotic diseases in similar high-risk regions.
Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications
Authors: Alka T. A. , Sreenivasan Aswathy , Suresh M. 
Published: February 2025

Abstract
The study highlights the impact of cloud-native technology in entrepreneurship for innovative business models, scalability, and cost efficiency by combining the trends including microservices, serverless computing, and technology disruptions. The study attempts to examine the role of cloud-native technology affects the entrepreneurial landscape in creating and advancing innovative business models and approaches, and the difficulties while applying cloud-native technology. The systematic literature review based on PRISMA is used to explore cloud-native technology and its applications by analyzing selected 111 studies from Scopus, Web of Science, Dimensions, and ProQuest. The study identified that one of the main forces behind disruption is the quick development of new technologies including blockchain, 5G, IoT, quantum computing, and AI. Cloud-native technology supports innovative business models in entrepreneurship such as SaaS, serverless computing, managed Kubernetes, data analytics platforms, BaaS, and Edge Computing. The urgency to incorporate and develop new security features and tools for measurement is necessary. The study shows that startups can use cloud-native technologies for innovative business models that rely on serverless computing, subscription services, and on-demand cloud services which are providing opportunities. The findings of the study highlight the need for entrepreneurs to utilize emerging technologies to meet competition, and there is a requirement for continuous investment in data analytics, automation, cloud solutions, and emerging technologies. Collaboration is essential for the application of the technologies for early stage startups and enterprises. Incubators, accelerators, and venture capital firms support essential to the adoption of disruptive technologies. The policymaker's and enterprises' focus and actionable intervention are necessary for developing mechanisms to solve the barriers of regulatory compliance, lack of skilled manpower, data security, privacy issues, and upfront investment for entrepreneurial success.
Cancer multi-omics-based differential expression analysis and prognostic potential of identified hub targets of myco-metabolites for breast carcinoma and lung carcinoma
Authors: Shreya Singh , Mohapatra Debadatta , Naik Gaurav Gopal , Kathait Pooja , Malang Soki , Patel Pradeep , Shambhavi  , Alam Gulzar , Sahu Alakh N. 
Published: February 2025

Abstract

Background
Breast carcinoma (BC) and lung carcinoma (LC) have the highest incidence and mortality rates worldwide. In prior work, studied sample hub targets contributing to anticancer potential against BC and LC were identified through network pharmacology. In the present work, web servers UALCAN, GEPIA2, and KM plotter were used to explore the genomic and proteomic expression of these hub targets, along with their prognosis potential in BC and LC.

Results
Differential hub targets SRC, MAPK3, PTPN11, JAK2, ESR1, and HAP900A1 for BC and PTPN11, JAK2, ESR1, EGFR, and MAPK3 for LC, showed good prognostic potentials. Collectively, PTPN11, JAK2, and ESR1 were overlapped differential expressed hub targets involved in the significantly good prognosis of both carcinoma.

Conclusion
These differentially expressed hub targets may be taken into account for future BC and LC treatments due to their strong prognostic potential.
Path analysis of farmer knowledge, attitudes, and practices toward lumpy skin disease in beef cattle
Authors: Khan Sohrab , Addoddon Darawan , Prapapanpong Jutamas , Suwannaboon Minta , Arjkumpa Orapun , Na-Lampang Kannika , Chaisowwong Warangkhana , Srisawang Supitchaya , Punyapornwithaya Veerasak 
Published: February 2025

Abstract
Lumpy skin disease (LSD) poses a significant threat to cattle populations and the livelihoods of farmers in Thailand. This study uses path analysis to explore the interrelationships among the knowledge, attitudes, and practices (KAP) of beef cattle farmers regarding LSD. A total of 384 farmers provided data on their sociodemographic characteristics and responses to KAP-related questions. Path analysis was employed to examine how KAP components interact and how demographic factors influence these relationships. The analysis revealed strong positive relationships between farmers’ knowledge and attitudes (β = 0.96, p < 0.001) and between attitudes and practices (β = 0.08, p < 0.008). Farmers with greater knowledge of LSD were more likely to adopt positive attitudes toward disease control and implement effective management practices. Additionally, knowledge had a direct influence on farmers’ practices (β = 0.38, p < 0.001), indicating that improved awareness of LSD is linked to better disease management. By strengthening knowledge, these efforts can positively influence attitudes and practices, leading to more effective control strategies. As the first KAP study on LSD in Thailand, this research highlights the critical role of targeted education programs in improving farmers’ understanding of LSD. Ultimately, enhancing disease management through education can help reduce the economic impact of LSD on Thailand’s livestock sector and promote sustainable farming practices.
Avascular Necrosis in Patients With Cushing Syndrome
Authors: Tal Noa , Bannykh Serguei , Learch Thomas , Mamelak Adam N , Cooper Odelia 
Published: February 2025

Abstract
Cushing syndrome (CS) results from prolonged exposure to excess glucocorticoids, leading to a range of clinical manifestations including avascular necrosis (AVN), a rare complication of CS. Although AVN is often associated with exogenous glucocorticoid treatment, it can occur in endogenous CS but may be unrecognized because of its rarity and possibly from a subclinical presentation. We describe a case of a 71-year-old male with florid Cushing disease who initially presented with bilateral hip AVN and later developed bilateral shoulder AVN despite achieving biochemical remission following transsphenoidal surgery and adjuvant stereotactic photon radiosurgery. AVN in endogenous CS is underreported, and guidance on routine screening is lacking. Our case underscores the importance of considering AVN in patients with CS, especially in those with persistent or recurrent joint symptoms and markedly elevated cortisol levels. Early detection of AVN is crucial as it can lead to irreversible joint damage and disability if untreated. Screening strategies should be explored to identify high-risk patients who are diagnosed with CS for timely intervention, thereby preventing long-term morbidity associated with AVN.
A New Method for Comprehensive Analysis of Benzodiazepine, Opioid, and Propofol Interactions and Dose Selection Rationales in Gastrointestinal Endoscopy Sedation
Authors: Liou Jing-Yang , Wang Hsin-Yi , Kuo I-Ting , Tsou Mei-Yung , Chang Weng-Kuei , Ting Chien-Kun 
Published: February 2025

BACKGROUND:
The aim of this study was to explore a new method for determining optimal dosing regimens for combinations of propofol, midazolam, and an opioid to achieve rapid on- and off-set of deep sedation.

METHODS:
We simulated 16 published dosing regimens using a well-validated pharmacodynamic model. The study was divided into 2 parts. First, the regimen that best provided deep sedation and rapid recovery was selected. A deep sedation-time area-under-the-curve (AUC) method was used to compare published dosing regimens; a higher AUC indicated better sedation and faster recovery. Second, subgroup analysis of the best-performing dosing regimen was undertaken better to understand how each drug affected patient recovery.

RESULTS:
The AUC method identified a combination of midazolam 1 mg, alfentanil 500 µg, and propofol target infusion effect-site concentration (Ce) 2 µg mL−
1 as the optimal regimen (P < .01). Propofol correlated with high probability of sedation and increased AUC (R2 = 0.53), whereas midazolam had a significant impact on time to return of consciousness (R2 = 0.86). Subgroup analysis indicated that regimens consisting of a fixed dose of alfentanil and either 5 µg mL−1 Ce propofol, or 1 mg midazolam with 3–5 µg mL−1 Ce of propofol, or 2 mg midazolam with 2 µg mL−1 Ce propofol provided adequate sedation and rapid recovery. Midazolam >3 mg greatly prolonged recovery.

CONCLUSIONS:
This study used a clinically relevant method and model simulation to determine suitable sedation regimens for use in gastrointestinal endoscopy. A balanced propofol, midazolam, and an opioid should be used. The AUC method was capable of providing objective assessments for model selection.