bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Slow” network research? A mixed-method approach towards funeral status representation in the Late Urnfield period
Authors: Deicke Aline Julia Elisabeth 
Published: December 2024

Abstract

From its earliest stages on, the rise of computational approaches in the Arts and Humanities – whether in archaeology, history, or digital humanities more generally – has been accompanied by discussion and a critical reflection on the ways in which data-driven research methods are in-formed by the way research objects are represented as data structures. Various dimensions, challenges and characteristics are commonly addresses that can be roughly divided into the three intersecting aspects of the subjectivity of data, their complexity and their size. Archaeological network analysis as a formal, quantitative method is situated firmly within the tension between these fields, and many authors focus on the application of network research to archaeological data while respecting its complex nature as outlined above. This paper wants to add to this growing body of work by focusing on the specificities of a medium-sized datasets that offers multiple perspectives on a complex question of social archaeology: the study of intersecting social identities and their materialization in funeral assemblages, particularly of a collective identity of high status-individuals or “elites”, during the Late Urnfield Period. It wants to offer a mixed-method approach that centres quantitative results and qualitative contextualization across different scales, and tries to minimize loss of information and context, while transparently disclosing its practices of data selection, pre-processing, and analysis, and aims to make the reflective positionings of “slow data” and “slow technology” productive for a methodology of “slow networks”.
Development of a capability framework for Allied Health research careers in health services
Authors: Brandenburg Caitlin , Ward Elizabeth C , Stoikov Susan , Pitt Rachelle , McBride Liza-Jane 
Published: December 2024

Abstract

Background
Engaging health services in research is important for ensuring a strong practice-relevant evidence base. To achieve this, health service staff must be equipped with the necessary research capabilities. Despite growing research engagement by Allied Health (AH) professionals within services, career frameworks that enable staff to map research capabilities are currently lacking. Pre-existing frameworks focus largely on research capabilities within the academic context, and do not adequately capture the specific capabilities required of AH research roles in health services. Equally, existing frameworks assume a career progression that moves from clinical practice, through a PhD and then onto a research academic path, and hence have limited relevance for other types of research roles that exist within health services. Hence, this study aimed to develop a research career capability framework for AH research careers within health services, using the specific setting of Queensland Health, a state-wide Australian public health service.
Methods
This research involved four sequential phases: 1) A rapid review to identify potential capabilities for inclusion in the framework; 2) Refinement of the rapid review findings into an initial set of capabilities and domains by a Project Reference Group (PRG); 3) An e-Delphi survey with a broad range of stakeholders to gain consensus on included capabilities; and 4) A survey of and consultation with the PRG to refine capabilities and develop final framework elements.
Results
Twelve articles yielding 2,125 capability statements were identified in the rapid review. These were synthesized into 73 capabilities by the PRG, which went forward to a 2-round e-Delphi with 48 participants. The resulting framework consisted of 61 capabilities under five domains: Research knowledge and skills; Research impact and translation; Clinical and healthcare research context; Research leadership and strategy; and Research capacity building and mentorship.
Conclusions
Using a multi-phase approach, a research capability framework which represented the diversity of AH research careers within health services was developed. The framework can be used to guide professional development of AH researchers and to support their career development processes. Although developed within a specific health context, the work has application to other locations, as well as professions outside Allied Health.
An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models
Authors: Patanè Giulia , Bortolotti Teresa , Yordanov Vasil , Biagi Ludovico Giorgio Aldo , Brovelli Maria Antonia , Truong Xuan Quang , Vantini Simone 
Published: December 2024

Abstract

Less than 10 meters deep, shallow landslides are rapidly moving and strongly dangerous slides. In the present work, the probabilistic distribution of the landslide detachment points within a valley is modelled as a spatial Poisson point process, whose intensity depends on geophysical predictors according to a generalized additive model. Modelling the intensity with a generalized additive model jointly allows to obtain good predictive performance and to preserve the interpretability of the effects of the geophysical predictors on the intensity of the process. We propose a novel workflow, based on Random Forests, to select the geophysical predictors entering the model for the intensity. In this context, the statistically significant effects are interpreted as activating or stabilizing factors for landslide detachment. In order to guarantee the transferability of the resulting model, training, validation, and test of the algorithm are performed on mutually disjoint valleys in the Alps of Lombardy (Italy). Finally, the uncertainty around the estimated intensity of the process is quantified via semiparametric bootstrap.
Pulse wave parameters as a predictor of the development of post-transplant diabetes mellitus after kidney transplantation
Authors: Macakova Dominika , Zadrazil Josef , Karasek David , Kucerova Veronika , Langova Katerina , Cibickova Lubica 
Published: December 2024

Abstract

Background
Kidney transplantation is the preferred treatment for patients with end-stage renal disease, significantly preserving kidney function and patient quality of life. However, post-transplant diabetes mellitus (PTDM) is a common complication, occurring in approximately one-third of renal transplant recipients. This study aims to evaluate the role of pulse wave parameters in predicting PTDM and to identify other pre-transplant risk factors.
Methods
This prospective cohort study included 105 patients on the kidney transplant waiting list from 2017 to 2022. Exclusion criteria included any pre-existing diabetes mellitus. Patients underwent physical examinations, laboratory analyses, and pulse wave analysis before transplantation and one year post-transplant. PTDM diagnosis followed International Consensus Guidelines. Data were analyzed using Wilcox test, Bonferroni correction, May-Whitney U-test, and Fisher’s exact test, with p < 0.05 considered statistically significant.
Results
Post-transplant, 21% of patients were diagnosed with PTDM, increasing to 35% 3months post-transplant and 43% at one year post-transplant. Significant findings included:
Pre-transplat risk factors for developing PTDM: Proteinuria (p = 0.037, OR = 3.942) and perioperative hyperglycemia (p = 0.003, OR = 4.219 at 3 months; p=0.001, OR = 4.571 at 1 year).
Pulse wave parameters for developing PTDM: Pre-transplant Aortic PP > 45 mmHg (AUC = 0.757) and PWV > 8.5 m/s (AUC = 0.730) were strong predictors of the development of PTDM after 3 months (p < 0.0001). Moreover, we found significant improvements in aortic pulse pressure (Aortic PP) and pulse wave velocity (PWV) post-transplant (p < 0.0001).
Conclusion
Our study confirms that pulse wave parameters, such as Aortic PP and PWV, are significant predictors of PTDM in kidney transplant recipients (KTR). These findings support incorporating pulse wave analysis into routine pre-transplant evaluations to identify high-risk patients. Additionally, monitoring these parameters post-transplant may aid in early intervention and prevention of PTDM, ultimately improving patient outcomes.
Trial registration: Ethical approval was obtained from the Ethics Committee of Medical faculty and University Hospital Olomouc (approval no. 94/15).
Computational Studies on Thermal Performance of Domestic Refrigerator with PCM Integrated Condenser
Authors: D Kasinathan , M Durairaj , L Ranganathan 
Published: December 2024

Abstract

Integration of PCM based thermal energy storage has been the focus of researchers for improving the energy efficiency in domestic refrigerators and also in addressing sustainability in refrigeration. The present investigation on domestic refrigerator was designed and developed with PCM placed on the condenser side to study the thermal performance numerically. CFD analysis of the proposed refrigerator was performed by varying the outer diameter to (25 mm, 20 mm and 15 mm) of PCM encapsulation tube and thermal conductivity of the PCM to (5%, 10%, 15% and 20% augmentation). The surface temperature of condenser decreased with increasing thermal conductivity because of the enhanced heat transfer characteristics, achieving a minimum surface temperature of 31°C for 20% thermal conductivity case. The proposed domestic refrigerator integrated with PCM on the condenser side, shows promising reduction in energy consumption, consequently mitigating the emissions and ushering new energy efficient technology.
Inhibitory Mechanism of Tangzhiqing on Sucrase: Changed inhibitory kinetics and secondary molecular conformation of sucrase and chemical components from Tangzhiqing
Authors: Li Yanfen , Zhu Mengyao , Wang Ruihua , Xia Xin , Jiang Ting , Wang Fengying , Gao Xuelian , Tian Shuang , Li Ziqiang , Huang Yuhong 
Published: December 2024

Abstract

Background Tangzhiqing (TZQ), a component-based herbal medicine, has been reported to have postprandial hypoglycemic effects on sucrose in humans. Sucrase, a type of α-glucosidase enzyme, breaks down sucrose into its monomers, glucose and fructose. This study investigated the inhibitory activity of TZQ against sucrase and the conformational changes in sucrase induced by interactions between sucrase and TZQ.
Methods Sucrose was used as an indicator substrate. After confirming the suitable reaction concentrations and time, an assay of the inhibitory activity of TZQ against sucrase was performed with a series of TZQ concentrations ranging from 0.7 to 22 μg/mL. The inhibition kinetics were analyzed in the presence and absence of TZQ or acarbose. Acarbose was used as a positive control drug. The changes in the secondary structure changes of sucrase in the presence and absence of TZQ were determined by circular dichroism spectroscopy. To investigate the pharmacological basis of the inhibitory effect of TZQ, we used a UPLC-Q-TOF/MS method to identify TZQ components. Molecular docking studies were carried out to explore the binding ability of sucrase and potential active ingredients in TZQ.
Results TZQ showed a notable inhibitory activity against sucrase in a reversible and uncompetitive manner. The half-maximal inhibitory concentration (IC50) values of TZQ and acarbose were 1.49 ± 0.07 and 3.94 ± 0.07 μg/mL, respectively, indicating that TZQ possesses has a considerable inhibitory effect similar to that of acarbose. Circular dichroism results revealed that the binding of TZQ to sucrase causes a rearrangement of the secondary structure of sucrase , with an increase in the content of α-helix components and a decrease in the content of β-sheet components, therefore inhibiting enzyme activity. A total of 64 chemical ingredients were identified from TZQ via UPLC-Q-TOF/MS. In addition to having a binding energy of less than -5 kcal/mol, the potential active ingredients of TZQ, including paeoniflorin, vitexin, chlorogenic acid, and salvianolic acid A, strongly affect the structure of sucrase through π accumulation or salt bridge formation, thus inhibiting its activity and lowering glucose.
Conclusion These findings provide a new insight into the inhibitory mechanism of TZQ on sucrase, which may be beneficial for the reasonable use of component-based Chinese medicine to prevent type 2 diabetes mellitus as a novel α-glycosidase inhibitor.
Clinical Trial Number ：Not applicable.
Scientific analysis of corrosion products on Han Dynasty iron swords excavated from Tuchengpo Cemetery in Wushan, Chongqing, China
Authors: Di Zhouqin , Zhao Xiongwei , Zhang Hui , Shen Wei , Fan Xiaopan 
Published: December 2024

Abstract

Six iron sword samples of the Han Dynasty (206 BC–220 AD) excavated from Tuchengpo Cemetery in Wushan, Chongqing, were characterized by Raman spectroscopy combined with SEM-EDS technology. The results showed that corrosion products on the iron swords were mainly divided into two corrosion layers. Shells of weeping iron were observed, and goethite, lepidocrocite, akaganeite, and calcite were detected in the external layer. Different dense products were distinguished by color, including goethite (orange), lepidocrocite (reddish-brown), akaganeite (yellowish-brown), magnetite (black), and hematite (red) in the internal layer. Element chlorine was also detected in the samples. The distribution of chlorine was consistent with the rust zones in the internal layer. Furthermore, the formations of corrosion products and rust zones in iron sword samples were related to the burial environment and manufacturing process. This study emphasizes the importance of the non-destructive research and in situ analysis of corrosion products on archaeological iron objects.
Wearable-Derived Short Sleep Duration is Associated with Increased risk of C-Reactive Protein Elevation after Interventions in a Placebo- Controlled Vaccine Trial Among Young Adults
Authors: Wang Chunxue , Mariani Sara , Damiano Robert J. , Lajevardi-Khosh Arad , Silva Ikaro , Ruebush Laura E. , McFarlane Daniel , Deutz Nicolaas E. P. , Conroy Bryan 
Published: December 2024

Abstract

Inadequate sleep has been associated with an increased risk of mortality and various health issues, but the role of sleep metrics from wearables in public health remains unclear. C-reactive protein (CRP), a systemic marker of inflammation, has been linked to numerous health outcomes. We hypothesized that sleep duration is associated with an inflammation response triggered by experimental interventions. We studied 195 healthy adults, aged 18–40 years, in a placebo-controlled intervention vaccination trial. The participant’s sleep was monitored over 14 days at baseline prior to intervention using Oura rings. Plasma hs-CRP levels were measured on the same day prior to the intervention and 2 days post-intervention. Associations of sleep duration and hs-CRP levels after interventions were investigated by regression models adjusting for age, sex, body mass index (BMI), comorbidities, interventions (vaccination or placebo), and averaged daily steps. We found that shorter wearable-derived Total Sleep Time (TST) and Total Time in Bed (TIB), as well as subjectively assessed sleep duration from the Pittsburgh Sleep Quality Index (PSQI), are independently associated with a higher risk of CRP elevation after interventions. Our study suggests that sleep deprivation could be a risk factor for an increased inflammatory response and highlights a potential application of wearable-derived sleep metrics in public health.
Comparative Analysis of Radiation, Lymph Node Dissection, and Metastatic Positive Rate on Prognosis in T3-4N+ Gastric Cancer and Gastroesophageal Junction: A Study Based on SEER Database and External Validation in China
Authors: tian chenrui , MCM Haodi Yu , Zhang Qingyu , Cang Shundong 
Published: December 2024

Abstract

Background
Adjuvant radiotherapy and neoadjuvant radiation are recognized as a pivotal therapeutic modality capable of augmenting the overall survival (OS) outcomes in patients afflicted with gastroesophageal junction cancer (GEJ) at the T3-4N+ stage. However, the number of regional nodes examined (RNE) and the metastasis lymph node ratio (MLR) exert discernible impacts on the prognosis of such patients. Our study exploredthe relationship between radiotherapy and surgery, assesses RNE and MLR prognostic significance, and developed a nomogram for predicting 5-year survival in T3-4N+ gastric cancer patients.
Patients and Methods
The nomogram of gastric cancer was built using GEJ patients from the Surveillance, Epidemiology, and End Results (SEER) database, with our institutional cohort used exclusively for validation. All other analyses, such as restricted cubic splines (RCS) and competing risk curves, were conducted using SEER data.
RESULTS
Radiotherapy: Esophageal adenocarcinoma located at the GEJ demonstrated a better response to neoadjuvant radiotherapy(p<0.001), while those in the cardia and gastric adenocarcinoma did not exhibit improved outcomes. Surgery and lymph nodes: For gastric adenocarcinoma and cardia cancer, the removal of more than 36-37 lymph nodes may not offer additional benefit, similarly, the removal of 28-29 lymph nodes may provide no further survival advantage for esophageal adenocarcinoma.
CONCLUSIONS
First, the nomogram of T3-4N+ gastric cancer demonstrated relatively good accuracy. Second, for both esophageal adenocarcinoma and gastric adenocarcinoma, surgical approach did not significantly improve patient survival. For gastric junction tumors, removing more than 36-37 lymph nodes may not improve survival. Similarly, exceeding 28-29 lymph node removals may also show no added benefit for esophageal tumors.
Congenital Cardiac Catheterization Risk Assessment in Infants Under 2.5kg
Authors: O'Byrne Michael L. , Boscamp Nicholas S. , Gauvreau Kimberlee , Rahman Grace R. , Barry Oliver M. , Batlivala Sarosh P. , Bergersen Lisa , Bjornlund Elsa , Bocks Martin L. , Doyle Thomas P. , Farias Michael , Goldstein Bryan , Holzer Ralf J. , Reddy Suren Veeram , Salavitabar Arash , Sathanandam Shyam , Whiteside Wendy , Quinn Brian P. 
Published: December 2024

Abstract

Background: Premature and small-for-gestational-age neonates with congenital heart disease increasingly require congenital cardiac catheterization (CCC). These patients present unique procedural and patient-specific risks that standard risk models do not fully capture.
Objectives: This study aims to assess risk in infants <2.5 kg undergoing CCC, further stratifying by procedural type to better understand predictors of clinically meaningful adverse events (CMAE).
Methods: Patient and Procedural data were collected on diagnostic and interventional catheterization procedures for infants <2.5 kg from the Congenital Cardiac Catheterization Project on Outcomes (C3PO) registry between 2014–2022. Cases were stratified into historical (2014–2018) and modern (2019–2022) eras and further categorized into PDA closure and ‘All Other Cases’. Multivariable logistic regression assessed associations between covariates and the risk of CMAE.
Results: Analysis included 1,345 cases. In the modern era, PDA closures (n=898, 66.8%) had a lower CMAE rate at 3.6% versus 8.1% for ‘All Other Cases’ (P<0.001). Among ‘All Other Cases’ (n=447) 23% were diagnostic and 77% interventional, with CMAE rates of 7.7% and 6.4%, respectively. CMAE types varied, with PDA cases mainly experiencing respiratory events (22%) and ‘All Other Cases’ showing higher rates of access complications (27%) and arrhythmias (29%).
Conclusion: Risk in infants <2.5 kg undergoing CCC is heavily dependent on procedural type and specific patient factors, highlighting the need for tailored risk assessment tools. This study, the largest to date in this population, emphasizes the importance of individualized care plans to improve outcomes.
LLMs and Academic Writing in Practice: Exploring Participants’ Utilization of GPT during an AI-Assisted Course on Writing Research Papers
Authors: Salimi Esmaeel Ali , Hajinia Mahdi 
Published: December 2024

Abstract

This study investigates the integration of Generative Pre-trained Transformer (GPT) models in scholarly writing instruction, aiming to understand their perceived positive and negative impacts on academic writing. The research employs a phenomenographic design to study the practical implications of such models in real classrooms. The course design involves five sessions, each focusing on specific sections of a research paper, with activities using GPT integrated into classes and home projects. The methodology comprehensively investigates the impact of GPT-4 on scholarly writing, with a phenomenographic perspective towards participant selection, data collection, and research design. The study reveals the multifaceted ways in which GPT models contribute to the productivity and efficiency of writing research papers, highlighting both the advantages and challenges associated with their use. The findings underscore the transformative potential of AI in education, emphasizing the need for educators and researchers to understand and maximize the benefits of GPT models.
Investigating the effect of high-rise construction compared to flat construction on the amount of heating and cooling energy consumption in the buildings, considering the comfort PMV index: A case study
Authors: Safikhani Hamed , Rezaei Kimiya , Farahani Mohammad , Minaei Asgar 
Published: December 2024

Abstract

In recent years, the approaches of living in high-rise buildings versus flat and independent buildings have their respective supporters and critics. In this article, the cooling and heating energy consumption in high-rise and flat buildings is compared, considering the comfort Fanger index. The energy consumption for heating and cooling is examined across eight different building scenarios with varying numbers of floors and three different climatic scenarios, all with consideration of the PMV comfort index. The eight scenarios include buildings ranging from a single-story flat and independent structure up to 50 floors. The three climate scenarios represent the cities of Yazd (hot), Arak (moderate), and Shahr-e Kord (cold) are modelled and compared using Design Builder software. In the results section, the details of cooling and heating load of all building and urban scenarios are presented and discussed along with the amount of Fanger comfort index and electricity and gas consumption in all days and months of the year. The results show that in terms of energy consumption, the number of common walls is more important than the number of floors, and buildings without common walls (single floors) can have 58.9% and 67.1% more load and energy consumption in heating and cooling, respectively.