bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prenatal toxicity of gabapentin on bone development in rat offsprings
Authors: Değermenci Muhammet , Uçar İlyas , Yılmaz Seher , Balcıoğlu Esra , Önder Gözde Özge , Unur Erdoğan 
Published: June 2023

Abstract
Background
Gabapentin is a drug commonly prescribed to adult pregnant women with neuropathic pain and epilepsy. Since the effect of antiepileptic drugs used in pregnant women with epilepsy on prenatal bone development is controversial, this study was conducted to demonstrate the toxic effects of gabapentin use during pregnancy on the skeletal system.
Methods
In the study, pregnant Wistar albino rats were randomly selected and divided into 5 groups (n = 4) as control and 10 mg/kg/day, 30 mg/kg/day, 60 mg/kg/day and 120 mg/kg/day gabapentin groups. The pups were subjected to double skeletal staining (DSS) and the ossification lengths and areas of the fore and hind bones of the pups were measured. Immunohistochemistry (IHC) was used to evaluate the ossification sites and the levels of alkaline phosphatase (AP) and tartrate resistant acid phosphatase (TRAP) immunoreactivity in the pups' femurs. Results: According to the results, the weights and morphometric sizes of the pups were lower than those of the control group. It was found that ossification rates in the fore and hind bones were statistically significantly lower. It was revealed that AP and TRAP intensities which is metabolic markers for bone development were reduced in the experimental groups compared to the control group.
Conclusions
We have shown that continuous use of gabapentin during pregnancy in rats results in lower birth weight offspring, delayed ossification in the offspring and adverse effects on bone metabolism as the dose increases.
Towards personalised happiness: An idiographic approach to change in satisfaction
Authors: Beck Emorie , Cheung Felix , Thapa Stuti , Jackson Joshua 
Published: June 2023

Abstract

Contemporary approaches examining the determinants of happiness have posited a bi-directional theory wherein happiness is determined by both top-down and bottom-up processes. We propose apersonalised happinessperspective that the determinants and consequences of happiness are idiographic (i.e. specific) to each individual rather than assumed to be the same for all. We demonstrate the utility of personalised happiness by testing the bi-directional theory of happiness at both the population and personalised levels using representative data of nearly 60,000 German, British, Swiss, Dutch, and Australian participants tracked up to 30 years. The majority of participants (73.0% - 86.3%) showed primarily unidirectional associations between domain satisfactions and life satisfaction, and only 3.6%-5.8% participants showed primarily bi-directional associations. Moreover, the population models correlated weakly with personalised models, suggesting that aggregated, population-level research fails to capture personalised happiness, demonstrating the feasibility and theoretical importance of a personalised happiness approach.
Spatial and temporal patterns and driving factorsof forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China
Authors: Liu Jia , Wang Yukuan , Guo Haiyan , Lu Yafeng , Xu Yuanxin , Sun Yun , Gan Weiwei , Sun Rui , Li Zhengyang 
Published: June 2023

Abstract
Background
The Panxi region in China is among the areas that are most severely impacted by forest fires. Despite this, there is currently a lack of comprehensive and systematic research on the spatial and temporal distribution patterns, as well as the drivers, of forest fires in the region. To reveal bio-geo-climatic and anthropogenic influences, this study investigated the temporal and spatial characteristics of forest fires and migration patterns of the center of gravity of forest fires in Panxi. A parametric optimal geographical detection model was utilized to quantify the influence of various individual factors and their combinations on the spatial patterns of forest fire occurrence in the whole Panxi region and sub-region, by analyzing the forest fire data-set from 2004-2020.
Results
From 2004 to 2020, the Panxi region experienced an upward trend in the number of forest fires and the area burned. However, the trends were not consistent over the entire period. Between 2004 and 2014, both the number of fires and the area burned showed fluctuations and an overall increase. In contrast, between 2015 and 2020, there was a significant decrease in the number of fires, while the area burned showed a continued upward trend. The study identified abrupt changes in the frequency of forest fires and burned areas, primarily in 2007 and 2016. Spatially, forest fires in Panxi exhibited a positive correlation and local clustering. The river valley basin and hilly regions displayed a higher incidence of forest fires, which were concentrated mainly along the hill edges. In the whole area of Panxi, climatic factors have a predominant influence on forest fire occurrences. Specifically, evaporation, maximum temperature, average temperature, number of days without rain, and minimum temperature demonstrated the strongest explanatory power. Furthermore, this relationship was found to be reinforced when combined with topographical, human activities, and vegetation factors. The spatial variation of drought within each sub-district has a stronger explanatory power for the distribution characteristics of forest fires in the region than at the Panxi-wide scale. The factor with the maximum interaction in most regions was the dual factor of rainfall and drought.
Conclusion
The study’s findings validate the applicability of geographic probes for identifying the drivers of fire occurrence and enhance our understanding of the drivers and their combined effects on the spatial context of the fire-incident study area.
Mechanism research on the application of liquid film microencapsulation technology based on natural lotion in strengthening recycled bio-composite wallpaper material
Authors: Xiao Dingtian , Wang Xiangan 
Published: June 2023

Abstract
Low carbon technology is currently one of the main research directions in sustainable research. The purpose of this research is to explore environmentally friendly low-carbon technologies to apply natural lotion and wastes to the development of bio-composite. This research can not only inhibit the release of toxic atmosphere from composite wallpaper materials but also propose new perspective for recycling several bulk wastes such as agricultural waste, waste plastics and waste cooking oil. This study not only conducted an exploratory research on the degree of filling load from a vertical perspective but also conducted comparative experiments to clarify the strengthening effect of natural lotion in a horizontal perspective. Several valuable findings are obtained through the analysis of several measurements such as mechanical performance and SEM morphology. The heat transfer effect between components inside the bio-composite is enhanced by the action of natural lotion. A better heat transfer effect can prevent heat from accumulating in local areas of bio-composite, resulting in an increase in the overall initial pyrolysis temperature of TGA curve. It is found through experiments that when the biomass filler is excessive, the mechanical performance of the sample sharply decreased. These negative phenomena are presented in the specific form of voids and aggregates in the internal structure of bio-composite from a microscopic perspective. Comprehensive analysis manifested that natural lotion can suppress the negative effect of filler agglomeration and strengthen the filler/matrix interface bonding. The research also found that the type of biomass filler can affect the actual effect of natural lotion. These findings have certain academic significance and can promote the further development of sustainable research on diversified recycle of wastes.
Primary adenosquamous carcinoma of the sigmoid colon: A case report and retrospective analysis
Authors: Tan Qi , Li Qi , Ma Yangfei , Gu Zehui , Chen Suxian 
Published: June 2023

Abstract
Background: Adenosquamous carcinoma(ASC) is a rare colorectal tumor with both an adenocarcinoma and a squamous cell carcinoma component. Accounting for less than 0.1 % of all colorectal cancer cases. ASC causes ulcerative or obstructive lesions in the colon. Usually, they are treated like colonic adenocarcinomas until the surprise findings on histopathology. Currently, only a few cases have been reported in the literature.
Case presentation: We report a case of a 71-year-old woman, hospitalized for abdominal distension and anemia. A computed tomography scan of the sigmoid colon revealed soft tissue masses with a diameter of about 56mm. The patient underwent surgery to remove the tumor and the histopathology revealed SCC and adenocarcinoma. There was no obvious abnormality during the patient's hospitalization and rehabilitation, and no chemotherapy or radiotherapy was performed after the operation. At present, the patient has been discharged, and we will continue to follow up with the patient.
conclusion: Colon ASC requires an extensive search for primary or coexisting adenocarcinoma components, while it is also necessary to exclude squamous cell carcinoma metastasis from other sites. The prognosis of colonic ASC is mainly related to the clinical stage and the presence of lymph node metastasis. It is important to detect as many lymph nodes as possible to guide the prognosis of patients. We add this case report to the existing literature on colon ASC for further study.
Minimal Short-Term Decline in Functional Performance and Quality of Life Predicts Better Long-Term Outcomes for Both in Older Taiwanese Adults After Hip Fracture Surgery: A Prospective Study
Authors: Yang Tzu-I , Kuo Yi-Jie , Huang Shu-Wei , Chen Yu-Pin 
Published: June 2023

Abstract

Background Hip fracture can lead to long-term loss of mobility and self-care ability in older adults. Despite initial decreases in functional performance after hip fracture surgery, patients tend to gradually recover. However, recovery can vary, with some regaining their abilities quickly while others becoming functionally dependent. In this study, we investigated whether the level of short-term postoperative decline in activity of daily living (ADL) performance and quality of life (QoL) can predict the 1-year outcomes for both following hip fracture surgery in older Taiwanese adults. Methods This prospective cohort study included 427 older adults (≥ 60 years) who underwent hip fracture surgery at a single tertiary medical center in Taiwan between November 2017 and March 2021. We collected pre-fracture data, including the patients’ demographics, Charlson comorbidity index (CCI) scores, and responses to a questionnaire (Short Portable Mental State Questionnaire [SPMSQ]) for dementia screening. Moreover, their scores on the EuroQol-5D questionnaire (for evaluating QoL) and Barthel Index (for assessing ADL performance) were collected at pre-fracture status and 3 and 12 months after surgery. Changes in ADL and QoL three months post-surgery compared to pre-fracture status were evaluated, and the associations of these parameters (and other potential factors) with 1-year outcomes for ADL and QoL were investigated. Results We analyzed the data of 318 patients with hip fracture and complete follow-up data regarding ADL performance and QoL 3 and 12 months after surgery. After adjusting for covariates, multivariate logistic regression revealed that changes in ADL and QoL 3 months post-surgery from pre-fracture status were positively and significantly correlated with 1-year outcomes for both (p < .001 for both). Furthermore, pre-fracture CCI and SPMSQ scores were independent predictive factors associated with 1-year ADL outcomes (p = .042 and < .001, respectively). Conclusions Patients who exhibit a smaller decline in functional performance and quality of life three months after hip fracture surgery from pre-fracture status are likely to have improved long-term ADL and QoL. Our results provide valuable clinical insights for future research aimed at enhancing ADL and QoL in older patients after hip fracture surgery by advocating for early postoperative interventions. Trial registration: TMU-JIRB N201709053
Esophageal cancer derived exosomes imbalance circulating Tfh/Tfr via EXO-PDL1 to promote immunosuppression
Authors: Li Zijie , Zhang Yuehua , Hao He , Chen Lu , Lv Tingting , Zhang Xiaokuan , Qi Yuying , Wang Zhiyu 
Published: June 2023

Abstract
Background: Esophageal cancer (EC) is a deadly malignancy. Exosomal programmed death ligand 1 (EXO-PDL1) induces immune escape to promote tumor progression. Furthermore, the imbalance between circulating follicular helper T cells (Tfh) and circulating follicular regulatory T cells (Tfr) is related to the progression of many malignant tumors. However, the role of the EC derived EXO-PDL1 in circulating Tfh/Tfr is unknown.
Methods: Circulating Tfh and circulating Tfr cells were determined using flow cytometry. Exosomes were isolated using differential centrifugation and PDL1 expression on exosomes was tested using ELISA. Exosomes were cultured in vitro for Tfh and Tfr cells expansion assays. Naïve CD4+ T cells were isolated, stimulated, and cultured in vitro with exosomes to evaluate the frequencies, phenotypes, and functions of Tfh and Tfr cells..
Results: For EC patients, the proportion of circulating Tfh cells was lower than that in HD whereas the proportion of circulating Tfr cells was higher. EC patients showed a significantly lower circulating Tfh/Tfr and a higher level of EXO-PDL1 than HD, and a negative correlation was noted between EXO-PDL1 and circulating Tfh/Tfr. EXO-PDL1 inhibited the expansion of Tfh cells and enhanced the percentage of CTLA4+Tfh cells. Additionally, the levels of IL-21 and IFN-γ decreased, whereas IL-10 level was increased. EXO-PDL1 promoted the expansion and suppressive functions of circulating Tfr cells, the increased percentages of CTLA4+ Tfr cells and ICOS+ Tfr cells were accompanied with higher levels of IL-10, IFN-γ, and IL-21.
Conclusions: Our results suggest a novel mechanism of EXO-PDL1 mediated immunosuppression in EC. Thus, inhibiting EXO-PDL1 to restore circulating Tfh/Tfr balance may provide new therapeutic approaches in EC treatment.
Comparison between Machine Learning and Bivariate Statistical Models for Groundwater Recharge Zones
Authors: Aslam Bilal , Maqsoom Ahsen , Hassan Usman , Maqsoom Sidra , Alaloul Wesam Salah , Musarat Muhammad Ali , Khan Shahzaib 
Published: June 2023

Abstract
Due to population growth and climate change, dependence on groundwater is expected to increase. This growth has put forth a major challenge of management for sustainable groundwater storage. This study illustrates a newly introduced bivariate statistical model with an ensembled data mining approach. Certainty factor (CF), evidential belief function (EBF), frequency ratio (FR) and convolutional neural network (CNN) are four bivariant statistical models. These four models are integrated with the logistic model tree (LMT) and random forest (RF). These models are used for preparing the groundwater potential map (GPM). The receiver operating characteristic (ROC) curve and area under the curve (AUC) were utilized for calculating the accuracy of the groundwater potential maps. The sequence and values of AUC obtained from the results are as CNN-RF (0.923), CF-RF (0.914), EBF-RF (0.911), FR-RF (0.904), CF-LMT (0.893), EBF-LMT (0.872) and FR-LMT (0.817). It can be concluded that the combination of bivariate statistic models and data mining techniques advance the method’s efficiency in creating a potential mapping of groundwater.
Estimating serendipity in content-based recommender systems
Authors: Hertz Alain , Kuflik Tsvi , Tuval Noa 
Published: June 2023

Abstract

Recommender systems provide personalized recommendations to their users for items and services. They do that using a model that is tailored to each user to infer their preferences based on their characteristics and previous interactions they have made with the system. Recent research suggests that users of a recommender system may like to receive suggestions that provide a pleasant surprise. In other words, a recommendation may be unexpected to the user, but it must be useful. This concept, called serendipity, is one of the aspects that have been proposed to meet user expectations for the recommendations they receive. Introducing serendipity means going beyond the `more of the same' aspect that past recommender systems are criticized for.In this article, we first show how to estimate user preferences based on ratings they have done in the past in a content-based recommender system.This estimation allows us to measure the relevance of a recommendation. We then determine the item attributes that play an important role in the relevance measure.Experiments in the movie domain show that the greater the relevance of a recommendation, the more the users seem willing to discover items having attributes with which they are not familiar, as long as these do not play an important role in their ratings.
The physical and mental aspects of quality of life among patients with eye diseases: A cross-sectional survey study in Afghanistan
Authors: Neyazi Ahmad , Hosaini Farooq , Razaqi Nosaibah , Ahmadi Mahsa , Padhi Bijaya Kumar , Neyazi Mehrab , Noorzad Elhama , Rahmani Adina , Griffiths Mark D. 
Published: June 2023

AbstractBackground According to the World Health Organization (WHO), the world faces numerous challenges, including disparities in the availability and quality of eyecare services for prevention, treatment, and rehabilitation. No previous study in Afghanistan has ever examined both mental and physical component of quality of life among patients with eye diseases. Therefore, present study examined the quality of life and its relationship with socio-demographic characteristics among this vulnerable group. Methods A cross-sectional survey was administered from January 2022 to April 2022. Data were collected from participants with eye diseases (N = 617) in the Herat province of Afghanistan. Results Of the 617 participants, 63.4% had poor physical quality of life and 14.9% had poor mental quality of life. Among participants, the main variables associated with physical and mental quality of life were age, gender, marital status, education level, monthly income, occupation, using social media, and a traumatic event occurring during the past month. Multiple regression analysis indicated that poor physical quality of life was significantly associated with with being above 54 years old (adjusted odds ratio [AOR] = 1.15,p = .0048), being female (AOR = 3.58.p < 0.01), being illiterate (AOR = 3.31,p = 0.01), being unemployed (AOR = 1.93, p = 0.04), and experiencing a traumatic event during the past month (AOR = 2.06,p = 0.02). Poor mental quality of life was associated occupational status (being unemployed) (AOR = 3.62,p = 0.05), and experiencing a traumatic event in the past month (AOR = 3.49,p < 0.01). Conclusion The present study provides a novel contribution to the field eye diseases and quality of life especially in relation to Afghanistan where there has been very little research in this area. The results indicate that public health authorities in Afghanistan should implement policies to raise awareness regarding the quality of life of patients with eye diseases as well as formulating strategies to help improve it.
The impact of ascorbic acid (E 300) on digestion of different nutrients using In Vitro digestion model
Authors: alsedfy muhammad , Said Alaa , alfattah khaled abd , mahmoud mona 
Published: June 2023

Abstract
Ascorbic acid is a very common antioxidant food additive and vitamin supplement which is used by human on daily basis. Especially during corona virus pandemic because it is included in COVID-19 treatment guidelines. During this study the physicochemical properties as well as cytotoxicity, antioxidant activity and anti-diabetic activity were determined. Moreover, the effect of ascorbic acid on the digestibility of different nutrients including proteins, and fats were evaluated using INFOGEST in vitro digestion model. The structural analysis of ascorbic acid reveals that it has a monoclinic crystal structure with particle size in the nanoscale (41.496 ± 12.96 nm ). Cytotoxicity and antioxidant activity measurements proved that ascorbic acid is a powerful antioxidant with high safety profile. Moreover, it stimulates cell growth and proliferation at a dose dependent manner (12.5, 25, 50,100, and 200 mM). Ascorbic acid showed to have a low inhibition effect on alpha glucosidase enzyme, even at high concentrations (22.1% at 1800 ppm ). Digestibility measurements demonstrates that it has a positive effect on proteins and fats digestibility with a concentration dependent manner.
RKGREC: A Rule-guided Graph Neural Network Recommendation Model
Authors: Everly Elara , Sinclair Arwen , Beckett Lachlan , Kingsley Sullivan 
Published: June 2023

Abstract
With the proliferation of the Internet and the vast amount of information available, recommendation systems have become indispensable for filtering and delivering personalized content to users. Collaborative filtering, one of the most widely used recommendation algorithms, predicts user preferences based on historical interactions. However, as the number of users and items increases, challenges such as sparsity and cold start arise, hindering personalized recommendations. To address these challenges, recommendation algorithms have started incorporating knowledge graphs, structured data repositories, into their models. These algorithms can be classified into embedding-based, rule-based, and aggregation-based approaches. Embedding-based algorithms leverage existing knowledge graph embedding models to obtain entity embeddings, which are then used as input features for recommendation prediction. Rule-based algorithms focus on modeling connections between users and items using paths in the knowledge graph. They can be categorized as meta-path-based or automatic path mining approaches. Aggregation-based algorithms aggregate entities using graph neural networks, such as graph convolutional neural networks (GCNs) or graph attention networks (GATs), to capture relationships between entities at different distances. However, while aggregation-based approaches excel in modeling accuracy, they may lack generalization capability. To overcome this limitation, this paper introduces RKGREC, a recommendation algorithm that combines rule-based modeling with graph neural networks. By leveraging the strengths of both approaches, RKGREC achieves high modeling accuracy through rules while maintaining high generalization capability through entity aggregation. The integration of rules and graph neural networks enhances the semantic understanding of connections between users and items, reducing noise and improving recommendation performance.