bluuebunny/crossref_metadata_2025 huggingface dataset:
LncRNA CARMN m6A Demethylation by ALKBH5 Inhibits Mutant p53-Driven Tumor Progression through miR-5683/FGF2
Authors: Zhang Yingjie , Liu Nannan , Jiang Xinxiu , Li Jiehan , Zhang Ge , Jiang Meimei , Jia Guiyun , Sun Renyuan , Zhang Lingling
Published: June 2023

N-methyladenosine (m6A) is the abundant RNA modification in colorectal cancer. However, the biological significance of m6A methylation of LncRNA CARMN remains unknown in colorectal cancer, especially for mutant p53 Gain-of-function. Here, we found that CARMN reduced in the colorectal cancer patients with mutant p53, due to its rich m6A methylation, which promotes cancer proliferation, invasion, and metastasisin vitroandin vivo. Deeper investigation illustrates that ALKBH5 directly demethylated m6A level of CARMN at 477 sites, which maintains CARMN with a higher expression level. However, mutant p53 binds to the promoter of ALKBH5 to prevent its transcription, results in the high level m6A methylation of CARMN, subsequently read by YTHDF2/YTHDF3 and degraded. Meantime, overexpressing CARMN significantly suppressed colorectal cancer progressionin vitro and in vivo. In addition, miR-5683 was identified as a direct downstream target of LncRNA CARMN, which plays anti-tumor effect through cooperating with CARMN to down-regulate FGF2 expression. Our study revealed the regulator and functional mechanism of CARMN in colorectal cancer with mutant p53, which may highlight a demethylation-based approach for the diagnosis and therapy of cancer.
Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
Authors: Huang Yuanyuan , Yi Yun , Chen Qiang , Li Hehua , Feng Shixuan , Zhou Sumiao , Zhang Ziyun , Liu Chenyu , Li Junhao , Lu Qiuling , Zhang Lida , Han Wei , Wu Fengchun , Ning Yuping
Published: June 2023

Background: Major depressive disorder (MDD) has a high incidence and an unknown mechanism. There are no objective and sensitive indicators for clinical diagnosis.
Objective: This study explored specific electrophysiological indicators and their role in the clinical diagnosis of MDD using machine learning.
Methods: Forty patients with first-episode drug-naïve MDD and forty healthy controls (HCs) were recruited. EEG data were collected from all subjects in the resting state with eyes closed for 10 minutes. The severity of MDD was assessed by the Hamilton Depression Rating Scale (HAMD-17). Machine learning analysis was used to identify the patients with MDD.
Results: Compared to the HC group, the relative power of the low delta and theta bands was significantly higher in the right occipital region, and the relative power of the alpha band in the entire posterior occipital region was significantly lower in the MDD group. In the MDD group, the alpha band scalp functional connectivity was overall lower, while the scalp functional connectivity in the gamma band was significantly higher than that in the HC group. In the feature set of the relative power of the ROI in each band, the highest accuracy of 88.2% was achieved using the KNN classifier while using PCA feature selection. In the explanatory model using SHAP values, the top-ranking influence feature is the relative power of the alpha band in the left parietal region.
Conclusions: Our findings reveal that the abnormal EEG neural oscillations may reflect an imbalance of excitation, inhibition and hyperactivity in the cerebral cortex in patients with first-episode MDD. The relative power of the alpha band in the left parietal region is expected to be an objective electrophysiological indicator of MDD.
Amharic Political Sentiment Analysis Using Deep Learning Approaches
Authors: Alemayehu Fikirte , Meshesha Million , Abate Jemal
Published: June 2023

This research aims to develop a sentiment analysis system specifically designed for the Amharic language. The study employs four deep learning algorithms to achieve this goal: Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), Gated Recurrent Unit (GRU), and a combination of CNN and BiLSTM. The CNN algorithm is utilized for its effectiveness in extracting relevant features from the input data. By applying filters and pooling operations, the CNN can identify important patterns and structures within the Amharic text. The BiLSTM algorithm is chosen for its ability to process sequential information by considering both past and future contexts. It incorporates a memory cell that enables the model to retain important information and understand the dependencies between different parts of the text. Additionally, the GRU algorithm is employed as it offers similar capabilities to BiLSTM but with fewer computational requirements. This allows for more efficient processing without sacrificing performance. The experimental results obtained from the sentiment analysis system indicate that the combination of CNN and BiLSTM yields promising outcomes. The system achieved an accuracy rate of 91.60%, demonstrating its ability to correctly classify sentiments expressed in Amharic text. Furthermore, the precision rate of 90.47% indicates a high level of accuracy in identifying positive and negative sentiments, while the recall rate of 93.91% suggests that the system effectively captures relevant sentiment instances. In summary, this study successfully designs a sentiment analysis system specifically tailored for the Amharic language. By leveraging the capabilities of deep learning algorithms such as CNN, BiLSTM, and GRU, the system demonstrates strong performance in accurately classifying sentiments expressed in Amharic text, as evidenced by the achieved accuracy, precision, and recall rates.
Walking Toward Better Health: The Influence of Nordic Walking Training on Gait and Exercise Tolerance in Ischemic Heart Disease Patients
Authors: Szpala Agnieszka , Winiarski Sławomir , Kołodziej Małgorzata , Jasiński Ryszard , Lejczak Andrzej , Kałka Dariusz , Lorek Karolina , Bałchanowski Jacek , Wudarczyk Sławomir , Woźniewski Marek , Pietraszewski Bogdan
Published: June 2023

The research explores the impact of a 6-week Nordic Walking (NW) program on physiological and biomechanical aspects in ischemic heart disease (IHD) patients. Twelve male IHD patients (66.2 ± 5.2 years, 12.2 ± 7.5 years of disease duration) were evaluated pre- and post-training for (i) gait parameters, (ii) exercise tolerance using electrocardiographic (ECG) stress test, (iii) a 6-minute walk test (6MWT). The NW training, adhering to IHD patient guidelines, involved a 100-meter walk at a self-selected, preferred speed without sticks, with classic NW sticks and mechatronic sticks. Post-training, significant enhancements were observed in ECG stress test duration, metabolic equivalency, and 6MWT distance, irrespective of the stick type. However, no significant changes were noted in spatiotemporal parameters concerning the measured side, stick utilisation, or type. The results suggest that NW training boosts exercise capacity and refines gait mechanics in male IHD patients. However, the improvement in exercise capacity was not linked to changes in gait mechanics from NW training but rather to the movement during NW gait. Hence, the key to enhancing exercise capacity in IHD patients is the movement during NW gait, not the quality of gait mechanics.
Research on multi-attribute attentional civil aviation entity alignment based on Siamese network
Authors: Wang Jintao , Qu Jiayi , Zhao Zuyi , Dong Xiao
Published: June 2023

With the growth of demand for air-space integrated transportation industry, the civil aviation transportation industry plays an increasingly important role in the national economy and transportation. The diversity and diversified development of civil aviation emergencies have greatly affected the decision-making efficiency for emergencies in civil aviation emergency management system. Constructing a knowledge graph of civil aviation and improving the reliability and richness of the knowledge graph have become an urgent problem to be solved. There are some problems during the construction of civil aviation domain knowledge graph such as long entity length, existing hybrid and composite entities, similarity of the font features of domain entity names, difference of information between entities, separated coding between entities, and error prone in the transmission process of coding. So we research the construction method of knowledge graph for civil aviation emergencies to resolve these problems. (1) We propose a font pre-training model and incorporate a character feature layer into the embedding layer. (2) We propose a multi-attribute attention alignment method based on Siamese network; entities with similar structure in civil aviation knowledge base are input into the font layer for pre-training; the complete semantic information of entities and the importance of different attributes to entities are learned through two sub-networks respectively to improve the integrity of civil aviation knowledge graph. The experimental results show that, compared with other models, the F1 value of the proposed model can reach 96.97%, which verifies the feasibility of our model.
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

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

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

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

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

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

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

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

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

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

Background 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

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

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.
A Review on the impact of big data analytics on the employment of technical graduates in the IT industry
Authors: ABTEW ADMAS , Assefa Amanuel
Published: June 2023

This systematic literature review examines the employment of technical graduates in the field of big data analytics across a range of industries, including IT, finance, healthcare, retail, and logistics. The review synthesizes the findings of 23 studies published between 2012 and 2023, using a combination of quantitative, qualitative, and mixed-methods approaches.
The review highlights the growing demand for technical graduates with skills in data analysis, data science, machine learning, and AI, as organizations seek to leverage the power of big data to improve decision-making, optimize operations, and enhance customer experience. However, the review also identifies several challenges associated with big data analytics and technical graduate employment, including the shortage of qualified candidates for data analysis and data science roles, and the need for technical graduates to possess a range of soft skills beyond technical knowledge.
The review also highlights the potential of big data analytics to transform industries and create new job roles, such as in healthcare informatics, logistics optimization, and data governance. This trend is likely to continue in the coming years, as organizations increasingly rely on big data to drive innovation and gain a competitive advantage. Overall, this review underscores the importance of preparing technical graduates for the rapidly evolving field of big data analytics, and the need for ongoing research and innovation in this area. Employers, educators, and policymakers may need to adapt their strategies to meet the evolving needs of the labor market and ensure that technical graduates are well-positioned to succeed in their careers and contribute to the broader economy.
Some Factors Related to Depression in Non-Small-Cell Lung Cancer Patients Treated at K Hospital During 2021 – 2022
Authors: Linh Le Khanh , Mai Do Tuyet , Huong Tran Thi Thanh , Van Pham Tuong
Published: June 2023

Background
Understanding lung cancer is currently the second most common cancer when assessing common cancer and the number of cancer deaths; there are a limited number of studies about depression in lung cancer patients in Vietnam.
Objective
This study aimed to describe depression in non-small cell lung cancer patients treated at K Hospital from 2021–2022 and associated factors.
Methods
Cross-sectional descriptive study. The study was conducted on 243 NSCLC patients treated at K Tan Trieu Hospital by direct phone call interview and psychiatric clinical examination. We applied the PHQ-9 scale and DSM-5 for screening and confirmed depression, and the SF-12 scale was applied for quality of life measurement.
Results
The study found that the risk factors related to depression included stage IV disease increasing the risk of depression more than 6 times in lung cancer patients (OR = 6.47; p < 0.05) and patients with poor QoL in the depression group, in which quality of life of mental health (36.94 ± 5.43) and physical health (41.78 ± 7.17) were all lower than those in the group without depression.
Conclusions
Measures to monitor mental health, screen for early detection and treatment interventions, and improve quality of life are the top priorities to reduce the risk of depression in patients with non-small cell lung cancer.
lncRNA Sequencing Reveals Neurodegeneration-associated FUS Mutations Alter Transcriptional Landscape of iPS Cells That Persists In Motor Neurons
Authors: Provasek Vincent E. , Kodavati Manohar , Guo Wenting , Wang Haibo , Boldogh Istvan , Bosch Ludo Van Den , Britz Gavin , Hegde Muralidhar
Published: June 2023

Fused-in Sarcoma (FUS) gene mutations have been implicated in amyotrophic lateral sclerosis (ALS). This study aimed to investigate the impact of FUS mutations (R521H and P525L) on the transcriptome of induced pluripotent stem cells (iPSCs) and iPSC-derived motor neurons (iMNs). Using RNA sequencing (RNA Seq), we characterized differentially expressed genes (DEGs), differentially expressed lncRNAs (DELs), and subsequently predicted lncRNA-mRNA target pairs (TAR pairs). Our results show that FUS mutations significantly altered expression profiles of mRNAs and lncRNAs in iPSCs. We identified key differentially regulated TAR pairs, including LMO3, TMEM132D, ERMN, GPR149, CRACD, and ZNF404 in mutant FUS iPSCs. We performed reverse transcription PCR (RT-PCR) validation in iPSCs and iMNs. Validation confirmed RNA-Seq findings and suggested that mutant FUS-induced transcriptional alterations persisted from iPSCs into differentiated iMNs. Functional enrichment analyses of DEGs indicated pathways associated with neuronal development and carcinogenesis that were likely altered by FUS mutations. Ingenuity Pathway Analysis (IPA) and GO network analysis of lncRNA-targeted mRNAs indicated associations related to RNA metabolism, lncRNA regulation, and DNA damage repair. Our findings provide insights into the molecular mechanisms underlying the pathophysiology of ALS-associated FUS mutations and suggest potential therapeutic targets for the treatment of ALS.
REKONSTRUKSI PENYELESAIAN SENGKETA INTERNAL PARTAI POLITIK DALAM SISTEM KETATANEGARAAN INDONESIA
Authors: Mahardika Ahmad Gelora
Published: June 2023

Sengketa internal partai politik merupakan salah satu persoalan sistematis dalam sistem ketatanegaraan Indonesia. Hal tersebut terjadi secara rutin dan hampir semua partai politik pernah mengalaminya. Namun meskipun menjadi persoalan rutin dalam sistem ketatanegaraan Indonesia, regulasi yang mengatur terkait sengketa internal tampak belum jelas, bahkan keterlibatan sejumlah lembaga tinggi negara dalam proses penyelesaian sengketa membuktikan bahwa permasalahan terkait sengketa internal partai politik masih jauh dari kata selesai. Kasus Partai Kebangkitan Bangsa, Partai Golkar, dan Partai Persatuan Pembangunan adalah catatan sengketa internal yang terjadi pasca reformasi. Pengaturan terkait sengketa internal harus diatur lebih jelas dalam undang-undang, sebagai upaya menciptakan regulasi yang mampu menyelesaikan sengketa internal partai politik yang berasaskan demokratis dan menujunjung asas kepastian hukum.
PENCETAKAN SERTIFIKAT VAKSIN OLEH PIHAK SWASTA
Authors: Wibowo Satrio
Published: June 2023

The Covid-19 vaccination has started in Indonesia in early 2021, marked by the President of Indonesia as the recipient of the first dose of vaccine. After two weeks, it was continued with the second dose. Proof of being a person who has been vaccinated is receiving a vaccine certificate. This method of recording vaccine certificates uses the Population Identification Number (NIK) and the vaccine recipient's telephone number. The form of this certificate is a piece of paper that is very easily damaged, so some private parties offer certificate printing in a form that is easy to carry, not easily damaged, and practical to carry around. The problems raised in this study are the legality of the private sector in printing vaccination certificates and the legal consequences of printing vaccine certificates. The method used in analyzing is using empirical juridical research by observing the phenomena that occur and reviewing the laws and regulations relating to and regulating the Covid19 vaccine certificate. The study results stated that the printing of vaccine certificates by the private sector was not explicitly regulated in the legislation. It had room for the private sector for commercial purposes.
Fossombronia bracchia Cargill (Fossombroniaceae, Marchantiophyta), a new species from Western Australia
Authors: Cargill D. Christine , Milne Josephine , Innes Hugo , Syme Katrina
Published: June 2023

The new species, Fossombronia bracchia, from Lesueur National Park, an area of high vascular plant endemism and species richness in southwestern Western Australia, is described and illustrated; a distribution map is provided. The new species has strong morphological similarities to the South African species F. tumida.
Early taxonomic history of the moss genus Anacamptodon and a lectotype for A. splachnoides (Amblystegiaceae)
Authors: Ochyra Ryszard , Bednarek-Ochyra Halina , Plásek Vítezslav
Published: June 2023

Early taxonomic history of the pleurocarpous moss genus Anacamptodon Brid. is reviewed and its familial placement is discussed. A specimen from the Bridel Herbarium (B-Bridel) is designated as the lectotype of Orthotrichum splachnoides Froel. ex Brid., the basionym of its generitype A. splachnoides (Froel. ex Brid.) Brid. It was collected in June or July 1811 by Josef Aloys von Frölich in Ellwangen (Jagst) in the historic, linguistic and cultural region of Swabia in the east of the state Baden-Württemberg in south-western Germany. He recognised it as a new species on the herbarium label and sent the material to S. E. Bridel in Gotha, Germany, then the great authority on moss taxonomy, who described it as a new species in his Muscologiae recentiorum supplementum seu Species muscorum Pars 2 in 1812. Duplicates of the original specimens of this species have been located in the Herbarium Tubingense (TUB) and in the Hedwig/Schwagrichen Herbarium (G) which are isolectotypes. Moreover, Frölich consulted the identity of this moss with Olof Swartz in Stockholm, Sweden, and four original specimens of A. splachnoides are present in his personal herbarium at S.
Brymela antioquiana S.P. Churchill & J.J. Atwood (Pilotrichaceae) a new species from Colombia
Authors: Atwood John J. , Churchill Steven P.
Published: June 2023

A new species, B ry m ela a n tio q u ia n a S.P. Churchill & J.J. Atwood, is described and illustrated from Colombia. The new species is superficially similar to B. p a rk e r ia n a (Hook. & Grev.) W.R. Buck - a species from northern Amazonia, the Guianas and Lesser Antilles - in its weakly complanate habit and straight, oblong-lanceolate leaves. B ry m ela a n tio q u ia n a differs from B. p a rk e r ia n a in having: longer leaves (3.6-4.0 versus 2.1-3.2 mm); long-acuminate versus obtuse to acute leaf apices; more strongly undulate upper laminae; and entire to weakly serrulate leaf margins with simple teeth versus serrulate to moderately serrate leaf margins with occasionally bifid teeth. A key to the 13 species of B ry m ela is provided.
Campylopus steerei (Dicranaceae), a new paraleucobryoid species from South American Páramos
Authors: Allen Bruce , Buck William R.
Published: June 2023

The Campylopus paraleucobryoid complex, restricted to Andean South America, is discussed and a new species, C. steerei, is described. These plants differ from other members of the complex in having all dorsal (abaxial) surface cells with very thick, orange outer walls. Additionally, Campylopus erratus nom. nov. is provided to correct an earlier nomenclatural error. A key is included to separate the five species in the complex.
Penerapan RESTful API untuk Membangun Program Pembayaran Piutang Menggunakan Otentikasi OAuth 2.0
Authors: Wulandari Nina , Wibowo Argo , Susanto Budi
Published: June 2023

Retail business competition which is increasingly fast requires businesses to have a product sales strategy that is able to compete. Amigo Group convert this strategy by providing account receivable services for customers. The study " Penerapan RESTful API untuk Membangun Program Pembayaran Piutang Menggunakan Otentikasi OAuth 2.0", focused on how to use RESTful to provide the transaction API for accounts receivable payments, and the use of OAuth 2.0 as an authentication method, as well as load testing of API.

The system design has been done with UML modeling language in the form of activity diagrams and sequence diagrams. Programming was done using the Laravel framework and MySQL database. Load testing was performed using the Locust application.

These designs produced Back End functions that can be used on web and mobile platforms. As a result of load testing, the use of the OAuth 2.0 method is more advantageous than using Basic Auth. This is shown by the response time and request per second which is more stable in the use of OAuth 2.0.
Taxonomic diversity and functional potential of microbial communities in salt lakes Gudzhirganskoe and Nukhe-Nur (Barguzin depression, Baikal Rift Zone)
Authors: Lavrentyeva Elena , Banzaraktsaeva Tuyana , Dambaev Vyacheslav , Buyantueva Lyubov’ , Valova Elena , Ivanov Vladimir , Plotnikov Andrey
Published: June 2023

On the territory of the Barguzin depression (Baikal Rift Zone) there are salt lakes, which are unique natural formations formed in exceptional natural conditions and experiencing extreme shifts in seasonal environmental conditions. This paper presents the results of the study of the microbial communities in the sulfate Lake Gudzhirganskoe and the soda Lake Nukhe-Nur in winter and summer seasons: from the assessment of the taxonomic composition to potential metabolic pathways. For the first time, based on the 16S rRNA gene sequencing data, the diversity of the microbial community of bottom sediments in summer and winter was studied. Environmental conditions such as pH, temperature and mineralization mainly determined the microbial community composition and led to noticeable shifts in the composition of the community at the level of families and genera. The change of the "summer" obligate and moderately alkalphilic and halophilic community to the "winter" alkali-, halotolerant/halophilic microbial community is observed in the winter period in Lake Gudzhirganskoe. In Lake Nukhe-Nur, a change from mesophilic-thermophilic community in summer to mesophilic-psychrophilic microbial community in winter was revealed. The totality of the obtained results gives an idea about the main trends in the seasonal dynamics of extremophilic microbial communities in the studied lakes in response to fluctuations in environmental parameters. The prediction of the metabolic pathways of prokaryotic communities using the Tax4Fun program made it possible to reveal similarities and differences in the metabolic potential of the microbial communities of the studied lakes. Potential functional genes have been found for all stages of the C, N and S cycles, with the exception of nitrification and aerobic CH4 oxidation.Only small qualitative and quantitative variations in the relative abundance of predicted functional genes were found between the microbial communities of the studied lakes. We predicted metabolic pathways that play an important role in the adaptation of microorganisms to changing environmental conditions. In general, it has been shown that there is a change in the dominant taxa at the level of families and genera in the microbial community in the summer and winter seasons, however, the predicted functional potential of microbial communities differed slightly by season and between the studied lakes.
An analysis of yield dynamics in Peredovik sunflower variety in the conditions of the North Caucasus Region
Authors: Novikova Liubov , Gavrilova Vera
Published: June 2023

The results of observations for 1971–2002 were used to analyze the long-term trends of yield and the duration of the growing season in the sunflower variety Peredovik. The regression analysis has shown that the growing season duration decreases with the increase in the sum of temperatures above 15 °C. The yield of sunflower was negatively associated with the sums of temperatures and the sums of precipitation in May–August, and positively with the precipitation in April. According to the regression analysis in differences, the main factor influencing the yield variability was the hydrothermal coefficient for the period with temperatures above 20 °C, the second factor was spring precipitation. The possible presence of a non-linear trend in yield dynamics that is not related to weather and climate conditions has been revealed. With the sustained tendency of the last 30 years towards an increase in temperatures and a decrease in precipitation in April, the growing season will keep shortening and the yield decreasing.
Sobre a liberdade jurídica em Habermas
Authors: Delamar José Volpato Dutra
Published: June 2023

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