bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Testing and Numerical Simulation of Recycled Concrete Aggregate in a Concrete Mix
Authors: Neupane Bini , Sahani Kameshwar , Khadka Shyam Sundar 
Published: January 2025

Abstract
This study focuses on exploring the potential of utilizing demolished concrete and promoting sustainable practices through the use of recycled concrete aggregate (RCA) as a substitute for natural aggregates, particularly in the context of Nepal. The region’s susceptibility to frequent earthquakes results in significant volumes of concrete rubble, posing challenges in waste disposal. To address this issue and mitigate resource depletion, the research focuses on concrete recycling. By conducting a thorough analysis of mechanical properties, crack patterns, strength variations, and specific gravity evaluations across different RCA compositions, the study emphasizes the ongoing endeavors toward sustainable concrete practices. A comparative examination of test results involving varying percentages of coarse recycled aggregate content (0%, 25%, 50%, 75%, and 100%) denoted as R0, R25, R50, R75 and R100, respectively, provides insights into the performance of different mixes. The compressive strength of cube for R25 increased by 20.13%, while R50 and R75 showed gains of 8.08% and 1.28%, respectively, while cylinder showed an increase of 25.86%, 18.88%, 9.54% and 2.65% for R25, R50, R75 and R100, respectively, compared to R0 concrete mix when tested at 28 days of curing. Tensile strength of concrete cylinder also improved, with R25 showing an 18.52% increase and R50 showing a 9.26% increase. Additionally, the RCA increased the flexural strength, with R25 leading with a 5% increase and R50 following with a 1.66% increase at 28 days of testing. The inclusion of numerical analysis in ABAQUS CAE using the Kent and Park Model serves to reinforce and support the experimental findings, establishing the credibility of both approaches. In essence, the study strongly advocates for the integration of recycled aggregate in concrete as a means to foster sustainable development and environmentally friendly construction methods.
Combinatorial functionomics identifies HDAC6-dependent molecular vulnerability of radioresistant head and neck cancer
Authors: Chan Sharon Pei Yi , Yeo Celestia Pei Xuan , Hong Boon Hao , Tan Evelyn Mui Cheng , Beh Chaw Yee , Yeo Eugenia Li Ling , Poon Dennis Jun Jie , Chu Pek Lim , Soo Khee Chee , Chua Melvin Lee Kiang , Chow Edward Kai-Hua 
Published: January 2025

Abstract

Background
Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite the addition of chemotherapy to radiotherapy to enhance its tumoricidal effects, almost a third of HNC patients suffer from locoregional relapses. Salvage therapy options for such recurrences are limited and often suboptimal, partly owing to divergent tumor and microenvironmental factors underpinning radioresistance. In this study, we utilized a combinatorial functionomics approach, the Quadratic Phenotypic Optimization Platform (QPOP), to rationally design drug pairings that exploit the molecular fingerprint and vulnerability of established in vitro isogenic radioresistant (RR)-HNC models.

Methods
A QPOP-specific protocol was applied to RR-HNC models to rank and compare all possible drug combinations from a 12-drug set comprising standard chemotherapy, small molecule inhibitors and targeted therapies specific to HNC. Drug combination efficacy was evaluated by computing combination index scores, and by measuring apoptotic response. Drug targeting was validated by western blot analyses, and the Comet assay was used to quantify DNA damage. Enhanced histone deacetylase inhibitor (HDACi) efficacy in RR models was further examined by in vivo studies, and genetic and chemical inhibition of major Class I/II HDACs. Regulatory roles of HDAC6/SP1 axis were investigated using immunoprecipitation, gel shift and ChIP-qPCR assays. Comparative transcriptomic analyses were employed to determine the prognostic significance of targeting HDAC6.

Results
We report the therapeutic potential of combining panobinostat (pan-HDAC inhibitor) with AZD7762 (CHK1/2 inhibitor; AstraZeneca) or ionizing radiation (IR) to re-sensitize RR-HNC cells and showed increased DNA damage underlying enhanced synergy. We further refined this RR-specific drug combination and prioritized HDAC6 as a targetable dependency in reversing radioresistance. We provide mechanistic insights into HDAC6-mediated regulation via a crosstalk involving SP1 and oncogenic and repair genes. From two independent patient cohorts, we identified a four-gene signature that may have discriminative ability to predict for radioresistance and amenable to HDAC6 inhibition.

Conclusion
We have uncovered HDAC6 as a promising molecular vulnerability that should be explored to treat RR-HNC.
Landslide susceptibility assessment for Uttarakhand, a Himalayan state of India, using multi-criteria decision making, bivariate, and machine learning models
Authors: Chauhan Vipin , Gupta Laxmi , Dixit Jagabandhu 
Published: January 2025

Abstract

Background
Landslides, among the most catastrophic natural hazards, result from natural and anthropogenic factors, causing substantial financial losses, infrastructural damage, fatalities, and environmental degradation. Uttarakhand, with its unique topographical and hydrological conditions, unplanned human settlements, and changing precipitation patterns, is highly susceptible to landslides.

Methods
This study evaluates landslide susceptibility for Uttarakhand, a Himalayan state in India, by employing bivariate analysis, multi-criteria decision-making, and advanced machine learning models, such as Random Forest and Extreme Gradient Boosting (XGBoost). A total of sixteen landslide influencing factors were used for performing landslide hazard susceptibility zonation, including the innovative use of geomorphons for detailed terrain analysis.

Results
Approximately 18.47% of the study area was classified as high to very high landslide susceptibility zones, and 21% was classified into the moderate susceptibility category. High to very high susceptibility zones were concentrated in the Uttarkashi, Chamoli, and Pithoragarh districts of the Lesser and Higher Himalayas, areas characterized by rangelands and high annual rainfall. Conversely, very low to low susceptibility zones were predominantly located in the Tarai-Bhabar and Sub-Himalayan districts, including Haridwar and Udham Singh Nagar. The Random Forest and XGBoost models demonstrated superior predictive performance.

Conclusions
The spatially explicit landslide susceptibility maps provide critical insights for urban planners, disaster management agencies, and environmentalists, aiding in developing effective strategies for landslide risk reduction and promoting sustainable development in Uttarakhand. This study exemplifies applying advanced analytical techniques to address landslide susceptibility and related soil erosion and water resource management challenges in Uttarakhand.
Copula-based trading of cointegrated cryptocurrency Pairs
Authors: Tadi Masood , Witzany Jiří 
Published: January 2025

Abstract
This study introduces a novel pairs trading strategy based on copulas for cointegrated pairs of cryptocurrencies. To identify the most suitable pairs and generate trading signals formulated from a reference asset for analyzing the mispricing index, the study employs linear and nonlinear cointegration tests, a correlation coefficient measure, and fits different copula families, respectively. The strategy’s performance is then evaluated by conducting back-testing for various triggers of opening positions, assessing its returns and risks. The findings indicate that the proposed method outperforms previously examined trading strategies of pairs based on cointegration or copulas in terms of profitability and risk-adjusted returns.
Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions
Authors: Sun Xin , Rui Xueyu , Cui Zhikun , Taghizadeh-Hesary Farhad , Zhao Xin 
Published: January 2025

Abstract
In the backdrop of “dual-carbon” strategic objectives, understanding the influence of the digital economy (DE) on carbon emissions (CEs) is imperative. However, there is limited research on the DE’s negative impact on CEs and the nonlinear relationship between the DE and CE. To address this gap, we collected data from 270 Chinese cities from 2011 to 2021 and used benchmark regression, mediated effects, and panel threshold models to explore the DE’s impact on CEs. The results showed that DE had a nonlinear, inverted U-shaped effect on CEs, with CEs initially increasing and then being suppressed. This conclusion remained consistent even after a series of robustness tests. Overall, the rate of urbanization and breadth of digital financial coverage mediate the relationship between the DE and CEs. Additionally, the combined effects of economic development, environmental regulation, fiscal decentralization, and population size contribute to the DE’s nonlinear impact on CEs. The impact of the DE on CEs varies among nonresource-based, resource-based, and resource-depleted cities and between urban and nonurban agglomerations. This paper’s findings support the development of the DE and the formulation of CE reduction policies.
Reusable and robust fuzzy extractor for CRS-dependent sources
Authors: Ma Yucheng , Shen Peisong , Tian Xue , Lv Kewei , Chen Chi 
Published: January 2025

Abstract
Fuzzy extractors allow for the extraction and reproduction of a nearly uniform string from a noisy and non-uniform source. Reusable and robust fuzzy extractors further require that the output string should remain pseudorandom under multiple extractions and any modification of public value should be detectable. Existing constructions of reusable and robust fuzzy extractors are all designed in the Common Reference String (CRS) model and work only for CRS-independent sources. In this work, we introduce a construction of reusable and robust fuzzy extractor for CRS-dependent sources. Our construction is built upon some well-studied cryptography, including a collision resistant hash function, a symmetric key encryption that keeps secure with respect to auxiliary input, a public key encryption and simulation-sound non-interactive zero-knowledge argument. We also present some instantiations of these primitives from Learning with Parity Noise (LPN) assumption and Short Integer Solution (SIS) assumption. These instantiations result in the first reusable and robust fuzzy extractor for CRS-dependent sources that can tolerate linear errors.
Dadih, traditional fermented buffalo milk: a comprehensive review of the aspects of gastronomy, health benefits, and product development
Authors: Pramana Angga , Yudhistira Bara , Jayalaksamana Maghfirah , Kurnia Dihan , Husnayain Naila , Pramitasari Rianita 
Published: January 2025

Abstract
Indonesia is a country with a rich array of traditional meals renowned for their health benefits and potential to serve as functional foods, including dadih. Several studies have shown that dadih is a traditional fermented product from Indonesia, with various culinary applications. In addition, it is typically produced from fermented buffalo milk, which forms an unchanged or broken lump when fermented at room temperature. This product is also widely consumed by the Minangkabau ethnic group in Central Sumatra (nowadays known as the provinces of West Sumatra, Riau, Kepulauan Riau, and Jambi), holding a significant position in their culinary practices. Dadih is often traditionally processed through spontaneous fermentation in bamboo containers without the need for additional inoculation with buffalo milk. The indigenous dadih lactic acid bacteria has been evaluated to have several advantages, including immunomodulatory, antioxidant, antimutagenic, hypocholesterolemic, and antimicrobial properties, by various mechanisms. In addition, this product offers significant nutritional content, promoting digestive health and enhancing the body’s resilience.
Time-lapse shear-wave tomography at a test dyke with changing water levels
Authors: Minato Shohei , Ghose Ranajit 
Published: January 2025

Although seismic methods using S waves can offer high-resolution images of the shallow soil layers, the use of body S-wave tomography for near-surface water monitoring remains underexplored, and the quantitative interpretation of any observed changes in S-wave velocity ( V S) in the field conditions is challenging. We conduct a time-lapse S-wave tomography experiment on a field-scale test dike with controlled water levels, allowing for detailed examination of how VS responds to water infiltration. Our results demonstrate that VS decreases progressively, starting from the high-water-side slope and extending across the dike, as the water level rises, with the most significant changes occurring in the sand body and not in the clay cover. The maximum reduction in VS is approximately 40–60 m/s, corresponding to approximately 25%–30% reduction from the initial condition. We use the squared velocity ratio to evaluate the relative contributions of bulk density and shear modulus to VS changes. In the initially unsaturated zone, both these factors contribute significantly to the observed VS changes as the zone becomes fully saturated. In fully saturated zones, we assess the changes in the effective stress using the squared VS ratio. Although the low-water side of the dike shows stress changes that are consistent with numerical modeling, the high-water side shows large stress changes than expected, possibly due to excess pore pressure during the dynamic flow conditions. These findings highlight the potential of body S-wave tomography for high-resolution, near-surface hydrologic monitoring, and provide insights into the complex interactions between physical properties that influence VS changes under varying water levels in field environments.
Lumpectomy Patients are at Highest Risk for Opioid Overprescription: A Comparison Between Practice Patterns and OPEN National Guidelines
Authors: Swafford Emily P. , Anantha Sadhana , Davis Jenna , Heath Rainya , Draper Allison , Tevis Sarah , Goel Neha , Kesmodel Susan B. , Rojas Kristin E. 
Published: January 2025

Abstract

Background
Nearly 25% of opioid-related deaths are from prescribed opioids, and the exacerbation of the opioid epidemic by the coronavirus disease 2019 (COVID-19) pandemic underscores the urgent need to address superfluous prescribing. Therefore, we sought to align local opioid prescribing practices with national guidelines in postoperative non-metastatic breast cancer patients.

Methods
A single-institution analysis included non-metastatic breast surgery patients treated between April 2020 and July 2021. ‘Overprescription’ was defined as a discharge prescription quantity of oral morphine equivalents (OMEs) greater than the upper limit of the procedure-specific Michigan Opioid Prescribing Engagement Network (OPEN) recommendations. Univariable and multivariate analyses identified risk factors associated with opioid prescribing.

Results
Overall, 464 patients met the inclusion criteria: 280 patients underwent lumpectomy, and 184 patients underwent mastectomy. 52% of patients were overprescribed opioids, including 74% of lumpectomy patients (p < 0.001) and 90% of patients undergoing lumpectomy with axillary surgery (p < 0.001). Mastectomy patients were overprescribed less frequently (< 25%). The quantity of opioids prescribed at discharge did not correlate to inpatient opioid requirements (r = 0.024, p = 0.604). Increased age, tobacco use, and long surgery duration were associated with higher quantities of opioids prescribed at discharge.

Conclusion
Patients undergoing less aggressive breast surgery are at very high risk of overprescription, and real-life prescribing patterns do not correlate to national guidelines or inpatient need. Future work will optimize adherence to procedure-specific guidelines and implement tailored discharge protocols.
The use of triptans as an effective form of migraine treatment – review
Authors: Borkowska Agata , Kiełb Anna , Mich Anna , Kaźmierczak Anna , Sornek Patrycja , Izdebska Wiktoria , Pawlak Igor , Ciesielski Radosław , Stanek Jakub , Perkowska Klaudia 
Published: January 2025

Introduction Migraine, a prevalent neurological disorder, is characterized by recurrent episodes of moderate to severe headache, often accompanied by symptoms such as nausea, photophobia, and phonophobia. Triptans, which belong to the class of serotonin 5-HT1B/1D receptor agonists, are integral to the management of migraine, providing prompt relief from symptoms.
Aim of the study To clarify how effective triptans are in treating migraines, highlighting their role in symptom relief and improving patients' quality of life
Materials and methods The article is the result of a comprehensive analysis of present-day scientific literature, which has been collected from PubMed, Scopus, and Google Scholar. The literature was systematically reviewed utilizing specific keywords.
Results Studies consistently show high efficacy of triptans in treating acute migraines. These pharmaceuticals markedly alleviate pain and symptoms like nausea, photophobia, and phonophobia, providing substantial pain relief. Differences in triptan medications' onset and half-life affect their therapeutic duration and headache recurrence rate. The pharmacokinetic properties of each triptan significantly affect its efficacy and headache recurrence likelihood. Frovatriptan, with its long half-life, showed superior efficacy in reducing migraine recurrence. Conversely, rizatriptan, with its rapid action, offered quick pain relief. In clinical trials, all triptans showed favorable tolerability profiles. Reported adverse effects were generally mild.
Conclusions Triptans are effective and safe for managing acute migraines. The diverse formulations and swift onset make these treatments essential for migraine management. Choose a triptan based on efficacy, safety, and patient preferences. More research is needed to improve triptan treatments for migraine, focusing on reducing headache recurrence and enhancing patient tolerability.
Ewing sarcoma – pathomechanisms, standard treatment and new therapeutic perspectives
Authors: Zezuliński Wojciech , Woliński Filip , Zyśk Julia , Korga Mateusz , Klas Jakub , Baj Jacek , Dzierżyński Eliasz 
Published: January 2025

Introduction: Ewing sarcoma is the second most common bone tumor among children, and due to its high malignancy 5-year survival rate for patients with primary lesions is around 70%. This number drops to merely 30% if metastases are present. Despite combined modality treatment, including radiotherapy, surgery, pre- and post-surgery chemotherapy, the mortality of patients is still too high. This shows a great need to look for new therapeutic options.
Methodology: Comprehensive literature review was conducted across databases, including PubMed and Google Scholar for studies published between 2000 and 2023. This review presents factors that play a key role in pathogenesis and are potential points of targeted therapy. The paper discusses, among other things, treatment attempts based on the role of the EWS-FLI1 protein, epigenetics, tyrosine kinase inhibitors, immunotherapies and the use of nanomedicine and viruses, as well as the difficulties associated with their application.
Findings: The studies cited vary depending on the phase of the clinical trial they are on, of which teprotumumab, robatumumab, and a combination of cixutumumab/temsyrolimus, ivodesinib, Nivolumab (a PD-1 inhibitor), and Ipilimumab (a CTLA-4 inhibitor) are quite advanced as well as those conducted only on animals and in vitro like YK-4-279 molecule, mithramycin 2'-oxime, NK cells, siRNAs with cationic detonation nanodiamonds (DNDs) and Il-12 by means of lentiviruses.
Conclusions: They are new and promising approaches in cases where standard treatments fail, yet they still require further study. Knowledge of the mechanisms of Ewing's sarcoma formation and its metastases, currently accepted treatment standards, critical points in the pathomechanism and current attempts at treating Ewing's sarcoma is essential for choosing the best treatment and effectively reducing its mortality rate.
The Effect of Resistance Strength Training on Muscle Cross Education: A Meta analysis
Authors: Hao Dong Yuan , Luo Jiong 
Published: January 2025

Introduction:
At present, a large number of studies have found that the phenomenon of cross transfer has achieved significant research results in sports training, rehabilitation therapy, and influencing mechanisms. Cross training refers to increasing muscle strength on the training side, while there is also a significant increase in muscle strength on the untrained homologous side. The main purpose of this review is to explore the impact mechanism of cross transfer phenomenon and summarize the optimal training methods and rehabilitation methods for cross transfer phenomenon.
Aim of the study:
Using meta-analysis method to systematically evaluate the effects of cross training (also known as cross education) on upper and lower limb muscle strength in different age groups and compare the training results.
Material and methods:
The system searched databases such as Wanfang Digital Resource Database, China National Knowledge Infrastructure Database, EBSCOhost, PubMed, Web of Science, and Cochrane Library from the default start time to December 2024. Two evaluators independently screened research literature on resistance strength training improving upper and lower limb muscle strength and hypertrophy in various age groups based on inclusion and exclusion criteria. Revmen 5.3 was used to evaluate all included literature and analyze their data.
Result:
1)After 4 rounds of exclusion, 7 articles were finally included with a total sample size of 257 people; 2) Cross education intervention under resistance strength training can significantly enhance the strength of the quadriceps muscle in adults, with better results than the control group. The combined effect size is SMD=8.03, 95% CI:- 1.32，17.37， P＜0.01， 3) The degree to which cross education intervention enhances the strength of the gastrocnemius and wrist extensor muscles under resistance strength training is similar. The combined effect quantities are: SMD＝0.17，95% CI：-2.28，2.62，P≥0.01； SMD＝-0.39，95% CI：-3.02，2.25，P≥0.01； SMD=0.20, 95% CI: -0.81, 1.21, P ≥ 0.01
Conclusion:
Cross education intervention under resistance strength training can significantly improve quadriceps strength and promote muscle hypertrophy in adults; The effect of cross education intervention under resistance force on promoting the strength and hypertrophy of the gastrocnemius muscle and wrist extensor muscle is similar.