bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pressure model and scaling laws in jammed bidisperse granular packings
Authors: Petit Juan C. , Sperl Matthias 
Published: February 2024

Abstract

This investigation delves into the scaling laws governing pressure and key mean variables
throughout the first and second jamming transitions previously observed in asymmetric bidisperse granular
packings. Motivated by a theoretical model integrating crucial parameters — size ratio, δ, concentration of small particles, XS, packing fraction, ϕ, mean contact number, ⟨Z⟩, mean overlap, ⟨αcn⟩, and mean branch vector length ⟨ℓcn⟩ — we employ molecular dynamics simulations to validate the model. Our findings reveal a nonlinear relationship between pressure and ϕ stemming from the dynamic interaction of mean variables with ϕ during compression. Regardless of XS for δ = 0.73, the scaling exponent cZ characterizing ⟨Z⟩ with ϕ consistently approximates 0.5, holding true for δ < 0.73
and high XS values. Intriguingly, for δ = 0.15 and low XS, where the two jamming transitions are observed, cZ exhibits distinct values. At the first transition, where large particles jam, cZ slightly exceeds 0.5, while it diminishes
to approximately 0.3 at the second transition following the jamming of small particles. Additionally, the exponents associated with the scaling of ⟨αcn⟩ and ⟨ℓcn⟩ with ϕ consistently converge around cα = cℓ ∼ 0.92 varying with changes in XS and δ. Moreover, the pressure model aligns seamlessly with simulation trends, exhibiting a consistent exponent around cp ∼ 1.1-1.3 throughout the first and second jamming transitions. These results offer valuable insights into the compression behavior of highly asymmetric bidisperse packings, emphasizing the substantial influence of δ and XS on the system’s macroscopic properties.
Patient Perspectives on the Role of Orthopedic Nurse Practitioners: A Cross-Sectional Study
Authors: Ben-Natan Merav , Revach May , Sade Or , Yanai Yaniv , Berkovich Yaron 
Published: February 2024

Abstract
Background: The inclusion of nurse practitioners (NPs) specializing in orthopedics shows potential for improving the quality of care for orthopedic patients. A critical aspect of assessing the feasibility and acceptance of introducing NPs into orthopedic settings involves understanding patients' perspectives on this role. This study aims to explore the receptiveness of orthopedic patients to treatment by orthopedic Nurse Practitioners (NPs). Additionally, it investigates potential associations between patients' willingness to engage with NPs, their familiarity with the NPs role, perceptions of nursing, and satisfaction with orthopedic nursing care.
Methods: This cross-sectional study involved patients admitted to an orthopedic department in a central Israeli medical center between January and February 2023. Data was collected using a questionnaire consisting of five sections, validated by content experts. Statistical analyses, performed using SPSS, included descriptive statistics, independent samples t-tests, Pearson correlations, and linear regression.
Results: In a diverse patient population, there was a moderate willingness for treatment by orthopedic NPs, with over two-thirds expressing strong openness. Patients exhibited high willingness for NPs involvement in various clinical tasks, yet lower for medication management and preoperative evaluation. Positive attitudes towards nurses and familiarity with the NPs role were significant predictors of patient willingness for NPs treatment.
Conclusion: Patient acceptance of orthopedic NPs varies across different aspects of care. While there is overall willingness to receive care from NPs, these nuanced preferences should be considered when implementing NPs in orthopedic settings. Awareness and positive perceptions play crucial roles in shaping patients' willingness to receive care from these NPs.
Trial registration: The research doesn’t report the results of a health care intervention.
Solitary thyroid nodule approach (radiological and surgical follow-up after resection), a practical study at Al-Mowasat University Hospital
Authors: khattab Khalid , Ahmad Nesrin , ALmidani Rawnak 
Published: February 2024

Abstract

Background
Thyroid nodules are common and can be benign or malignant. Solitary thyroid nodules (STN) have a high probability of being malignant and must be properly labeled for their correct management.
Methods and materials:
In this study, we analyzed the data of our departments over a period of six months. All patients who had a single thyroid nodule were included, and multiple nodules were excluded. The sample was collected in the Department of Radiology and General Surgery at Al-Mowasat University Hospital, based on the findings of the echograph.
Results
There were 125 cases of STN detected radiologically. By pathological anatomy, the percentage of presence of malignancy was 20%, the most common of which was papillary carcinoma 55%. The percentage of involvement of the right and left lobes was equal, the size of 1.5-3 cm was the highest at 67%, the percentage of presence of calcifications was 34. %, and the most common symptom associated with the lesion is goiter, accompanied by enlarged phlegm nodules at a rate of 46%, and according to the TIRADS classification, the most common is the fourth classification at 43%.
Conclusion
The single thyroid nodule in our study has a low probability of malignancy, echocardiography has a high degree of prognostication and patients should be further evaluated by ultrasound and biopsy.
Postpartum hysterectomy in the university maternity hospital (a retrospective statistical study)
Authors: yasmineh Mohannad mohammed nazir , Alhamwi Dalal mohamad emad aldin , albatahesh Basel essam 
Published: February 2024

Abstract

Objective
To study the file of patients who underwent obstetric hysterectomy and learn the indications, risk factors, and complications to reduce its occurrence as much as possible.
Type of study:
retrospective cohort study
Place of study:
Obstetrics and Gynecology University Hospital in Damascus - Records of the Archives Division.
Study period:
starting from 1/1/2016 until 12/31/2022.
Patients:
The study sample included 124 women admitted to the University Obstetrics and Gynecology Hospital who underwent obstetric hysterectomy.
Results
91.9.9% of the patients had a natural birth, while 8.1% had a cesarean section. The rate of performing a total hysterectomy was 1.47/1000, within seven years. The rate of it being performed among patients with a cesarean section was 3.12/1000, and the rate of it being performed among patients with a natural birth was 0.2/1000. The most common indication for a postpartum hysterectomy is placenta accreta (54%), and the most common complication of obstetric hysterectomy is urinary tract injury (22%).
Conclusion
Congenital hysterectomy is highly associated with cesarean section, and because of the high risk associated with cesarean section, the decision to perform cesarean section should be made when its benefits outweigh the potential risks.
Hydrocephalus, determining its classifications and causes
Authors: khattab Khalid , Zarifa Mohammed , Owaied Osama , Wahab Musaab Abdel 
Published: February 2024

Abstract

Aim: Studying hydrocephalus, determining its classifications and causes, as well as clarifying the diagnosis and treatment of hydrocephalus, and preventing hydrocephalus.
Methods: and materials: An operation was performed at Al-Mowasat University Hospital on /826/patients diagnosed with hydrocephalus by consulting the patient files in the Medical Records Department, while following up the cases with radiographs, plain, tomographic, and sonograms in the archives of the Radiology Division.
Results: We have found that the incidence of congenital hydrocephalus is greater than that in adults, in addition to the proportion of males being greater than the proportion of females, and that treating acute hydrocephalus results in faster recovery than treatment followed with chronic hydrocephalus, and that investigative diagnosis through axial computed tomography is the most successful method for diagnosing hydrocephalus. . The study also showed an emphasis on following up patients through radiological monitoring after installing the implant.
Conclusion: Magnetic resonance imaging gives much more information than CT scanning. Those in charge of treatment should pay attention to CT radiological monitoring after installing the mount.
Exploring the efficacy of naturally occurring C-C and C-O-C type biflavonoids towards the inhibition of MDM2-p53 interactions
Authors: Karmakar Suvankar , Majumdar Sourav , Singh Bula , Pramanik Anup , Mondal Samiran 
Published: February 2024

Abstract
P53-MDM2 protein-protein interaction (PPI) is one of the most well-established studied which is involved in human cancer. Most importantly, cell cycle and apoptosis are potentially regulated by the p53 protein. Minute double minute 2 (MDM2), the negative regulator of p53, induces p53 degradation and modulates its tumour-suppressing activity. Regaining p53 function by targeting and inhibiting the p53-MDM2 interaction for the treatment of cancer is a unique approach. In this present study, three C-C type biflavonoids (amentoflavone, robustaflavone and agathisflavone) and three C-O-C type biflavonoids (ochnaflavone, hinokiflavone and delicaflavone) were used as MDM2 inhibitors. Molecular docking and molecular dynamics (MD) simulation studies were done to show the p53-MDM2 inhibitory effect of six naturally occurring biflavonoid-based small molecules and determined the various possible conformations and binding affinity values and investigated the dynamic behaviour of MDM2-biflavonoid complexes. Both the C-C and C-O-C category of biflavonoids potentially inhibit p53-MDM2 interaction by blocking the p53-binding domain of MDM2. From the docking score, one of the C-C type biflavonoid, amentoflavone was found to be the strongest inhibitor i.e., strong binding affinity compared to the reference compound nutlin-3 towards MDM2 protein. MD simulation study showed similar RMSD, RMSF, RoG, and SASA profiles compared to the reference inhibitor nutlin-3, suggesting stability throughout the simulation time. These results indicate naturally occurring biflavonoids might be promising early lead compounds for the development of new anticancer agents targeting p53-MDM2 interaction, which to our knowledge has never been reported to disrupt p53-MDM2 interaction.
PTEKC: Pre-training with Event knowledge of ConceptNet for Cross-lingual Event Causality Identification
Authors: Zhu Enchang , Yu Zhengtao , Huang Yuxin , Gao Shengxiang , Xian Yantuan 
Published: February 2024

Abstract
Event Causality Identification (ECI) task aims to identify causal relations between events in texts, which is beneficial to understanding the precise logic meaning expressed by a text. Although existing event causality identification works based on fine-tuned PLMs have achieved promising results, they suffer from prohibitive computation costs, catastrophic forgetting of distributional knowledge, as well as poor interpretability. Particularly in low-resource and cross-linguistic scenarios, existing multilingual models are generally confronted with the so-called curse of multilinguality, language bias, and hence result in low accuracy and generalization ability. In this paper, we propose a paradigm, termed Pre-training with Event Knowledge of ConceptNet (PTEKC), to couple Multilingual Pre-trained Language Models (MPLMs) with external event knowledge for Cross-lingual Event Causality Identification. Specifically, we have developed a parameter-sharing adapter plugin that facilitates the integration of event knowledge into the frozen Pretrained Language Model (PLM). This approach significantly diminishes the number of trainable parameters and greatly reduces the risk of catastrophic forgetting. Our Adapter integrates multilingual-aligned event knowledge into the MPLMs through two designed pre-training tasks, namely span masking and self-supervised link prediction. Extensive experiments on the benchmark dataset MECI show that PTEKC is parameter-efficient and can effectively incorporate knowledge for improving cross-lingual event causality identification.
Immunomodulatory and antitumoral potentials of polyphenol-rich Salsola tetrandra leaf extract
Authors: Dakhlaoui Sarra , chaabani Emna , Nani Abdelhafidh , Ksouri-Megdiche Wided , Ksouri Riadh , Khan Naim Akhtar , Hichami Aziz 
Published: February 2024

Abstract
This study explored the influence of Salsola tetrandra leaf polyphenol-rich extract (STLPRE) on RAW 264.7 macrophage polarization and its potential antitumoral effects on transplanted mouse melanoma cells (B16). The phenolic contents and antioxidant activities of STLPRE were initially assessed. Furthermore, the immunomodulatory impact of STLPRE on RAW 264.7 cells and its in vitro and in vivoantitumoral effects against B16 cells were investigated. Exposing RAW 264.7 cells to STLPRE (10 and 30 µg/ml) upregulated conventional activated macrophage (M1) markers, including TNF-α, IL-1, IL-6, IL-12, Arg2, NO, and iNOS, with significant increases in NF-κB (p65) and MAPKs (ERK2, p38, JNK) activation. STLPRE also reduced M2 markers, decreasing Arg1 and CD206 mRNA expressions. Pro-inflammatory cytokine mRNA expression was less pronounced in STLPRE-treated macrophages than in LPS-stimulated cells. Notably, IL-1, IL-6, and IL-12 mRNA expressions in LPS-stimulated cells were approximately 60 %, 186 %, and 244 % higher than those in STLPRE-treated cells (30 µg/ml). In LPS-stimulated macrophages, STLPRE treatment significantly decreased nitric oxide (NO) production and M1 markers expression in a dose-dependent manner, concurrently inhibiting NF-κB phosphorylation. Interestingly, STLPRE or supernatant from STLPRE-treated macrophages reduced B16 viability in vitro and inhibited B16 tumor growth in C57BL/6 mice. This reduction in B16 tumor growth was associated with increased splenic mRNA expression of IFN-γ, IL-1, and IL-12 in STLPRE-treated mice. Our findings suggest that STLPRE represents a promising source of antitumoral biomolecules.
The assessment of leukocyte systemic inflammation index ratios in dyslipidemia patients with dry eye disease
Authors: Alhalwani Amani , Hafez Salwa Y. , Jambi Shatha , Alsubaie Nasser , Rayani Khalid , Alqanawi Yamin , Alkhomri Ziyad , Hariri Saden 
Published: February 2024

Abstract
Background
One of the many adverse effects of dyslipidemia (DLP) is dry eye disease (DED), which is brought on by metabolic syndrome and increases inflammation. This research aimed to assess the leukocyte systemic inflammation index ratios in DLP with DED (DED-DLP) as potential biomarkers of systemic inflammation.
Methods
Several sets of blood biomarkers were studied. There were specific leukocyte profile parameters (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte*platelet ratio (NLPR)); the lipid profile (levels of total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein and triglycerides): and an inflammation marker (C-reactive protein (CRP)). These were evaluated in 32 patients with DED-DLP (study group) and 52 subjects without DLP (control group).
Results
The study group had significantly greater levels of monocytes and CRP than did the control group (p = 0.024 and 0.049, respectively). A negative correlation with a statistically significant difference between HDL and NLPR (p = 0.007; r=-0.428) and a negative correlation with a statistically significant difference between albumin levels and PLR values (p = 0.008; r=-0.420) were seen as predictors of DED-DLP.
Conclusion
Individuals with DLP are more likely than those without the condition to experience DED because the levels of their leukocyte systemic inflammation index ratios reflect the seriousness of systemic inflammation. The study found that CRP and NLPR levels might be helpful as predictors of the likelihood of the development of DED by DLP patients. Additional research is needed to determine the additive contribution played by leukocytes and the significance of NLR, PLR, and MLR.
In-silico Drug Repurposing Pipeline for Epilepsy: Integrating Deep Learning and Structure-based Approaches
Authors: Guo Jinjiang , Lv Xiaoying , Wang Jia , Yuan Ying , Pan Lurong 
Published: February 2024

Abstract
Due to considerable global prevalence and high recurrence rate, the pursuit of effective new medication for epilepsy treatment remains an urgent and significant challenge. Drug repurposing emerges as a cost-effective and efficient strategy to combat this disorder. This study leverages the transformer-based deep learning methods coupled with molecular binding affinity calculation to develop a novel in-silico drug repurposing pipeline for epilepsy. The number of candidate inhibitors against 24 target proteins encoded by gain-of-functon(GOF) genes implicated in epileptogenesis ranged from zero to several hundreds. Our pipeline has repurposed the medications with most anti-epileptic drugs (AEDs) and nearly half psychiatric medications, highlighting the effectiveness of our pipeline. Furthermore, Lomitapide, a cholesterol-lowering drug, first emerged as particularly noteworthy, exhibiting high binding affinity for 10 targets and verified by molecular dynamics (MD) simulation and mechanism analysis. These findings provided a novel perspective on therapeutic strategies for other central nervous system (CNS) disease.
Merging Mixture of Experts and Retrieval Augmented Generation for Enhanced Information Retrieval and Reasoning
Authors: Xiong Xingyu , Zheng Mingliang 
Published: February 2024

Abstract
This study investigates the integration of Retrieval Augmented Generation (RAG) into the Mistral 8x7B Large Language Model (LLM), which already uses Mixture of Experts (MoE), to address its existing limitations in complex information retrieval and reasoning tasks. By leveraging the Google BIG-Bench dataset, we conducted extensive quantitative and qualitative analyses to evaluate the augmented model's performance. The results demonstrate significant improvements in accuracy, precision, recall, and F1 score, highlighting the enhanced model's superior capability to generate contextually rich, accurate, and nuanced responses. This integration showcases a promising approach to overcoming the intrinsic limitations of traditional LLMs, marking a pivotal advancement in artificial intelligence research. Our findings contribute to the ongoing development of more adaptable, efficient, and intelligent AI systems, opening new avenues for AI application across various fields. The study acknowledges limitations related to dataset scope and computational demands, suggesting directions for future research to further refine and expand the model's applicability.
The Effectiveness of Food Vlogger Review on Purchase Intention Toward Food Product (Study on Mega Influencer)
Authors: Dewanthi Desyra Sukma 
Published: February 2024

Objectives: The objective of this research is to investigate the factors, such as source credibility (attractiveness, trustworthiness, and competence) and brand-influence match up congruence, that might contribute to better customer attitudes and buy intentions. The study is focused on millennials and Gen Z between the ages of 18 and 34 who have recently seen food vloggers review products on Youtube.
Method: This research utilizes using an online questionnaire that is made with Google Form distributed to 265 respondents. The full-scale data is analyzed through SmartPLS and bootstrapping analysis to test for reliability, validity, and the research’s hypotheses to identify the relationship between variables.
Results: The findings of the research shows that trustworthiness, expertise, similarity, liking, and familiarity value has a positive and significant relationship with customer attitude toward food product. Customer attitude toward food product also has a positive and significant relationship with purchase intention. Then both Attractiveness and Brand-Influencer Match-up does not have a positive influence significant effect on customer attitude toward food product.
Conclusion: The results of this research, it can be concluded there are 6 variables that measure food vlogger reviews that are included in the source credibility model, namely trustworthiness, attractiveness, expertise, liking, familiarity, and similarity. The more trustworthiness, expertise, similarity, liking, familiarity felt by food vloggers by customers, the more positive customer attitudes towards food products will be.

Key words:
Youtube, Food vloggers, Food Product, Customer Attitude, Purchase Intention
Regionally differential water pricing strategy: An example from Karst region of China
Authors: Yang Fan , Riaz Noman , Cheng Jianwei , Wu Guoyong 
Published: February 2024

Abstract
The study objective is to analyze the water expenditure of 4315 rural households in the Karst region of China. The empirical results have been analyzed by using the extended linear expenditure system model. The study has been based on water expenditure, which provides a feasible differential water pricing strategy in the karst region of China. The result shows that (1) the coefficient for water expenditure has been examined as low. The coefficient of water expenditure in the Karst region ranges from 0.534 to 1.025%, the average value is 0.723%, and the modified coefficient ranges from 0.814 to 1.508%, with an average value of 1.070%. (2) The marginal consumption propensity of rural residents in the Karst region is 0.2%, and the marginal consumption propensity in each province ranges from 0.1 to 1%. (3) The per capita basic water demand has 3 m3. In this scenario, the study recommended that basic water prices range from CNY 2.091 to CNY 3.468 per cubic meter. If the water consumption exceeds basic demand (3 m3 per month), then the bearing water price shall not be lower than CNY 2.091 to CNY 3.468 per cubic meter and not higher than CNY 7.122 per cubic meter.
TRANSGRESSÕES CARNAVALESCAS: UMA ANÁLISE DISCURSIVA DO BLOCO DE CARNAVAL “AS MUQUIRANAS”
Authors: De Lima Luísa Gabrielli , Garcia Dantielli Assumpção Garcia 
Published: February 2024

Neste trabalho, buscamos analisar o bloco de Carnaval “As Muquiranas”. As temáticas escolhidas pelo bloco ao longo dos anos podem ter diferentes significados e interpretações, dependendo do contexto cultural, social e histórico em que são apresentadas. Por um lado, essas referências a mulheres icônicas da cultura popular e da história podem ser uma forma de celebrar e homenagear a presença e contribuição das mulheres na sociedade, dando destaque a personagens femininas. Por outro lado, é importante lembrar que as mulheres, muitas vezes, foram historicamente subordinadas e oprimidas, e que essas temáticas podem reforçar imaginários e ideias limitadas sobre o papel das mulheres na sociedade. Este trabalho está ancorado teórica e metodologicamente na teoria da Análise de Discurso francesa, tendo como principais autores Michel Pêcheux e Eni. P. Orlandi. Observam-se, então, que os atos de violência transcorrem pela ação do homem, este trabalho se justifica pela relevância social de analisar discursivamente a atuação dos participantes heterossexuais do bloco “As Muquiranas”, bem como as violências[1] praticadas contra mulheres, homossexuais e travestis. Portanto, o corpus desta pesquisa consiste em analisar uma seleção de Sequências Discursivas retiradas de postagens do Instagram voltadas ao bloco de carnaval “As Muquiranas”.

[1] Morais, físicas e verbais.