bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge, Attitude and Practice of Parents towards Prevention of Child Sexual Abuse in Khartoum Sudan 2021
Authors: Elsiddig Shiraz , Sabir Mustafa 
Published: September 2022

Abstract
Background: Numerous studies have shown that child sexual abuse is a severe issue all over the world. The issue is spreading and poses a risk of negative outcomes. Most parents are not aware of the growing severity and pervasiveness of child sexual abuse
Objectives:The objectives of this study was to assess Parents knowledge, attitudes and practices on child sexual abuse and its prevention in Khartoum Sudan in order to strengthen child protection.
Methodology:This community-based cross-sectional survey was carried out in 2021. Parents with kids were chosen at random to make up the study's population. To evaluate parents' knowledge, attitudes, and practices regarding preventing child sexual abuse, a quantitative approach utilizing structured questions was used.
Results: Total of 137 parents were interviewed the majority of the parent’s respondents 126 (92%) had high knowledge on child sexual abuse, while 10 (7.3%) were ranked as having poor level of Knowledge. Majority 120 (87.6%) of the respondents had positive attitude towards child sexual abuse.
Conclusions and recommendations:In the research area, parents had a high level of knowledge and attitudes regarding preventing child sexual abuse. However, parents' approaches to preventing child sexual abuse were inadequate. Therefore, a public education campaign is required for parents, with the ultimate goal of preventing children in Khartoum, Sudan, from suffering the harm and anguish of sexual abuse.
It is recommended to emphasis on practices towards prevention of child sexual abuse more, more scientific research on the issue of sexual harassment, enforcement of the laws that protect children against sexual abuse
Epigenetic dysregulation of ASPP2 accelerates trophoblasts autophagy of placentas in preeclampsia through Beclin-1
Authors: Jiang Nan , Zhang Hui , Liu Qiujun , Ma Shengchao , Quan Shangkun , Wu Kai , Yang Anning , Jiao Yun , Xiong Jiantuan , Jiang Yideng , Zhang Huiping 
Published: September 2022

Abstract
Background: Preeclampsia is an idiopathic disease that occurs during pregnancy. Recent studies have considered abnormal autophagy as a new pathogenesis for this disorder, while little is known about its underlying molecular mechanisms. Apoptosis-stimulating protein of p53-2 (ASPP2) is one of the apoptosis-stimulating of p53 protein family members which can regulate cellular autophagy.
Results: In this study, we found ASPP2 expression was remarkably increased in trophoblasts of placentas from preeclamptic pregnancies and the hypoxia-induced trophoblast cell lines HTR8/SVneo and JEG-3 cells; and expression of ASSP2 in placentas was positively correlated with systolic blood pressure, diastolic blood pressure and BMI of pregnancies. Functionally, ASPP2 promotes preeclampsia through enhancement of trophoblast autophagy via accelerating release of Beclin-1 from Bcl-2-Beclin-1 complexes. More importantly, we found that decrease of DNMT1 and G9a cooperatively reduced DNA methylation and H3K9me2 at ASPP2 promoter, while increased binding of E2F1 at ASPP2 promoter, leading to transcription activation of ASPP2 in preeclamptic trophoblasts.
Conclusions: Our study suggests ASPP2 might be a novel diagnostic and prognostic biomarker for preeclampsia.
Lateral septum adenosine A2A receptors control stress-induced depressive-like behaviors via signaling to the hypothalamus and habenula
Authors: Wang Muran , Li Peijun , Silva Beatriz S. da , Li Zewen , Zheng Wu , Xiang Zhenghua , He Yan , Xu Tao , Cordeiro Cristina , Deng Lu , Dai Yuwei , Ye Mengqian , Zhou Jianhong , Ye Fenfen , Lin Zhiqing , Zhou Xuzhao , Cunha Rodrigo , Chen Jiang-Fan , Guo Wei 
Published: September 2022

Abstract
Depression is the single largest contributor to the burden of disease, yet the current antidepressant medications are limited by high non-responsiveness and significant side effects. The lateral septum (LS) is thought to control of depression, however, the cellular and circuit substrates are largely unknown. Here, we identified a subpopulation of LS GABAergic adenosine A2A receptors (A2AR)-positive neurons mediating depression via direct projects to the lateral habenula (LHb) and the hypothalamus. Activation of A2AR in the LS augmented the spiking frequency of A2AR-positive neurons leading to a decreased activation of surrounding neurons. Accordingly, modulation of LS-A2AR-positive neurons activity via optogenetic stimulation formatted depressive-like phenotype and the optogenetic activation of LS-A2AR-positive neurons projection terminals to the LHb or the hypothalamus, phenocopied depressive behaviors. Moreover, we shown a selective upregulation of A2AR in the LS in two mouse models of repeated stress-induced depression and in postmortem brains of suicide completers suffered from depression disorder, and the bi-directional manipulation of LS-A2AR activity demonstrated that LS-A2ARs are necessary and sufficient to trigger depressive phenotypes. This identification that aberrantly increased A2AR signaling in the LS is a critical upstream regulator of repeated stress-induced depressive-like behaviors provides a neurophysiological and circuit-based justification of the antidepressant potential of A2AR antagonists, prompting their clinical translation.
Enhanced hydrolysis of aluminium nitride from secondary aluminum dross through combination of wet-stirred milling and alkaline leaching
Authors: GUO Qiang , Li Huilin , Fu Mingbo , Li Yongli , Tian Dengchao , Zhang Ling 
Published: September 2022

Abstract
Deep hydrolysis for removing hazardous aluminium nitride (AlN) from secondary aluminum dross (SAD) remains a challenge nowadays. Enhanced hydrolysis of AlN from SAD through a combination of wet-stirred milling and alkaline leaching is investigated in the present study, which has not been reported before. SAD is activated during wet-stirred milling just with water by reducing the grain size and increasing the active surface area. Leaching with NaOH dissolves the hydrolysis products (AlOOH, Al(OH)3) to expose reactive sites of unhydrolyzed AlN, contributing to the enhanced hydrolysis process. Results indicate that by utilizing optimized conditions (10 min wet milling, 5 wt.% NaOH solution, L/S ratio of 2, 75 ℃ temperature, and 120 min duration), 98.3% of AlN is removed from SAD. The kinetic analysis indicates that the hydrolysis process is controlled by both diffusion and chemical reactions, with the activation energy calculated to be 31.0 kJ/mol. After undergoing this enhanced hydrolysis process, the residue, which consisted primarily of Al2O3 and Al(OH)3,can be recycled as Al concentrate. The technology has been already applied in a pilot plant and achieved a favorable effect in practical applications.
Statement of Novelty
Efficient hydrolysis for removing hazardous aluminium nitride (AlN) from secondary aluminum dross (SAD) remains a challenge nowadays. An enhanced hydrolysis process for removing AlN from SAD has been developed and reported in this study. The results demonstrate that the progress is highly efficient and can be performed using a combination of wet-stirred milling and alkaline leaching. This solution has not been reported before, and relevant patent authorization has been obtained by our research group.
The technology has been already applied in a pilot plant that processes 20000 tons of SAD per year, achieving a favorable effect in practical applications, facilitating the disposal of waste and the protection of environment.
Insilico Validation of Selected Natural Products as Multi-regulator of EZH2-PPAR Therapeutic Targets; A Hallmark for Prospective Restoration of Pancreatic Insulin Production and Cancer dysregulation
Authors: Olowosoke Christopher Busayo , Gbemisola Otitoola Shobi , Alaba Adebola Abosede , Adepoju Oluwadamilola Hope , Okorie Benson , Odjegba Peace Ifeoma , Ogunsanmi Ayomide Oluwaseyi , Oke Grace Ayomide , Akinlolu Oluwatoyin , Olubena Tomiwa Lois , Bello Ridwan Opeyemi , Adegboyega Benjamin Babatunde 
Published: September 2022

Abstract
The prevalence of cancer and diabetes has been a major global threat that has led to the continuous investigation of numerous biomarker that can serve in novel therapeutic targets for their treatment. Recently, epigenetic regulatory function of EZH2-PPAR was discovered to influence the metabolic and signaling pathway causing this disease. Hence, the synergistic combination of inhibitors like GSK126 and Bezafibrate was reported have promising outcome for these disease treatment, but without clear understanding of other biomarker association and side effect detriment. The disease association and protein interaction networks between EZH2-PPARs and other biomarkers regulating pancreatic cancer and diabetes pathology were identified, with obesity, and hypertensive disease being the closest vast connection. Natural compounds employed in the molecular docking, adme/toxicity and reactivity screening for candidate inhibitor of versatile capacity against the target identify nine compounds as lead hits. Overall, Phytocassane A exhibit the most recognizable insilico validation for drug likeness profiles better than the standards, and all nine compounds were conclusively proposed for further experimental screening to compliment this finding on their benefit in drug development for diabetes and cancer therapy.
Chlorophyllin attenuates the effects of benzo[a]pyrene in human hepatoma HepG2/C3A cells
Authors: D'Epiro Gláucia Fernanda Rocha , Semprebon Simone Cristine , Niwa Andressa Megumi , Marques Lilian Areal , Biazi Bruna Isabela , Zanetti Thalita Alves , Felicidade Ingrid , Baranoski Adrivanio , Mantovani Mário Sérgio 
Published: September 2022

Abstract
Chlorophyllin (Chl), a semisynthetic compound derived from chlorophyll, has been a focus in cancer prevention because it exerts important biological activities, such as antigenotoxic, antioxidative and anticarcinogenic activities. Given that most sporadic cancers are related to environmental chemicals exposure and based on evidence that Chl has the ability to protect cells against carcinogenic effects of these compounds, the aim of this study was to evaluate the protective effect of Chl against benzo[a]pyrene toxicity in HepG2/C3A cells. To investigate the ability of Chl to mitigate the cytotoxic effects of B[a]P, the cells were co-treated and the cell viability, cell growth kinetics, cell cycle, and apoptosis induction were evaluated. Besides, the mRNA levels of cell cycle components (cyclins and cyclin-dependent kinases - CDKs) and apoptotic genes were analyzed. Our results showed that Chl was able to reduce the cytotoxic and antiproliferative effects of B[a]P in a multi-specific manner, restoring the normal distribution of the cell cycle and inhibiting the cell death induced by the xenobiotic. The RT-qPCR analysis showed that Chl caused a downregulation in cyclin CCNA2 and cyclin-dependent kinases CDK1 and CDK2 mRNA level. B[a]P decreased the mRNA levels of genes involved in cell cycle control (CCNA2, CCNB1, CCND1 and CCNE1 cyclins; and CDK1 and CDK2 cyclin-dependent kinases) and apoptosis (BAX, CASP7, and TP53). Cells co-treated with 200 µM Chl and B[a]P also showed a downregulation of mRNA levels of the genes. Chl maintained the TP53 gene expression in B[a]P-treated cells near control levels. Thus, Chl is a good candidate as a chemoprotective agent that mitigates the cytotoxic effects B[a]P and, thus, might be a promising tool to prevent liver cancer.
Pulcherrimin: a bacterial swiss army knife in the iron war
Authors: Charron-Lamoureux Vincent , Haroune Lounès , Pomerleau Maude , Hall Léo , Orban Frédéric , Leroux Julie , Rizzi Adrien , Bourassa Jean-Sébastien , Fontaine Nicolas , d'Astous Élodie V. , Dauphin-Ducharme Philippe , Legault Claude Y. , Bellenger Jean-Philippe , Beauregard Pascale 
Published: September 2022

Abstract
Siderophores are soluble or membrane-embedded molecules that play a major role in Fe acquisition by microorganisms. Pulcherriminic acid (PA) is a compound produced by different microbes that sequesters Fe in the precipitated pulcherrimin, but which role in Fe homeostasis remains elusive. Using Bacillus subtilis (PA producer) and Pseudomonas protegens as a competition model, we demonstrated that PA is involved in a yet undescribed Fe-managing system. When challenged by a competitor, PA production creates a local Fe(III) source, which can be retrieved via the bacillibactin siderophore produced by B. subtilis. Furthermore, precipitation of Fe(III) as pulcherrimin prevents oxidative stress in bacterial competition by restricting the Fenton reaction and deleterious ROS formation. Together, our findings uncover that PA is at the core of a counterintuitive Fe management strategy that capitalizes on controlled Fe precipitation when challenged by a competitor. This makes PA a unique and multifunction tool in the iron war.
A Comparison of Python Based Copula Parameters Estimation for Archimedean-based Asymmetric Copulas
Authors: Pranowo Waskito , R. Adhitya Ryan 
Published: September 2022

Abstract
Estimating copula parameters remains a challenge when dealing with multiple correlated variables. Focused studies on the application of uncommon copula functions are also still scarce. Asymmetric dependence is necessary to be taken into account as symmetric dependence may not always be sufficient to model real data dependence. Asymmetric copulas were constructed using the Archimedean family as the basis copula. Linear inversion, random search, and Particle Swarm Optimization (PSO) were used to compare the estimations of copula parameters. Python was used as the main programming software to apply the proposed methods in this paper. From the comparison, linear inversion resulted in 1% of average absolute relative error while PSO and random search resulted in 4% and 19%, respectively. A different result was shown using a real data set. Real data often deal with local extreme values while performing the simulation. PSO was more stable than others when real data were used. It was concluded that PSO is the wisest method for real data cases and asymmetric copula parameter estimation.
Evaluation and assessment of nutritional composition for quality profiling of Phoenix dactylifera cultivars using multivariate analytical tools
Authors: Rani Vasthi Gnana , Thangamathi Perumal , Harihar Balasubramanian , Ananth Sivapunniyam , Suvaithenamudhan Suvaiyarasan 
Published: September 2022

Abstract

Eleven date palm fruits (DPF) of commercial importance were purchased from the local market and evaluated for their proximate and mineral composition and assessed by using multivariate analysis techniques. Carbohydrates are a major source of nutrients. Calcium, magnesium, potassium, and phosphorus are the major elements present. Principal component analysis (PCA) and analysis of variance (ANOVA) was performed to identify the relationship between different cultivars of DPF. PCA and hierarchical cluster analysis (HCA) revealed a consistent grouping of date palm cultivars with similar characteristics. Dissimilarity levels ranged from 0.90 to 43.5. The similarity between PCA and HCA analysis was evident in the study. Clusters obtained from the factor scores showed two main clusters. Though Shebeby and Lulu cultivars differ from each other, they were placed in the second main cluster due to their high dissimilarity from other cultivars. The results of the present investigation would help in grading the date palm cultivars based on nutritional composition.
Selected hallmarks of hallux valgus in older women with symptomatic hallux valgus compared to middle-aged women with and without deformation of the forefoot
Authors: Jankowicz-Szymańska Agnieszka , Wódka Katarzyna , Bibro Marta A. , Smoła Eliza , Bac Aneta 
Published: September 2022

Abstract
The aim of the study was to compare the shape of the feet, the mobility of the metatarsophalangeal and interphalangeal joints and the flexibility of the calf muscles in older women with hallux valgus versus middle-aged women with and without this deformation to identify the presence of features which correlate particularly strongly with hallux valgus, and on which prophylaxis and conservative treatment should focus. The study involved 201 women: 92 aged 60–84 years with hallux valgus of both toes, 78 aged 38–59 with hallux valgus of both toes, and 31 aged 38–57 years with correctly shaped feet. The intensity of pain in the foot, the valgus angle of the big toe and fifth toe, the longitudinal and transverse arches of the foot, the symmetry of foot load with body weight, toe joint mobility and muscle flexibility were analysed. Both groups of women with hallux valgus differed from women with normal feet in the height of the transverse arch, the extent of dorsal extension in the first metatarsophalangeal joint and plantar flexion in the first interphalangeal joint. Older women were additionally characterised by reduced plantar flexion in the metatarsophalangeal joint of the big toe, limited flexibility of the soleus and gastrocnemius muscles as well as less pain in the toe area than in the foot itself. The most characteristic changes which were observed in older women with hallux valgus are a limited range of motion in the MTP and IP joints of the big toe, a reduced transverse arch and increased restriction of calf muscle flexibility.
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features
Authors: Guan Meng-Yue , Wang Qian-Kun , Wu Peng , Qiu Wang-Ren , Yu Wang-Ke , Xiao Xuan 
Published: September 2022

Abstract
Protein ubiquitylation is an important post-translational modification (PTM), which is considered to be one of the most important processes regulating cell function and various diseases. Therefore, accurate prediction of ubiquitylation proteins and their PTM sites is of great significance for the study of basic biological processes and the development of related drugs. Researchers have developed some large-scale computational methods to predict ubiquitylation sites, but there is still much room for improvement. Much of the research related to ubiquitylation is cross-species while the life pattern is diversified, and the prediction method always shows its specificity in practical application. This study just aims to the issue of plants, and has constructed computational methods for identifying ubiquitylation protein and ubiquitylation sites. To better reflect the protein sequence information and obtain better prediction, the KNN scoring matrix model based on functional domain GO annotation and word embedding model (CBOW and Skip-Gram) are used to extract the features, and the light gradient boosting machine (LGBM) is selected as the ubiquitylation proteins prediction engine. As results, accuracy (ACC), precision (precision), recall (recall), F1_score and AUC are respectively 85.12%, 80.96%, 72.80%, 0.7637 and 0.9193 in the 10-fold cross-validations on independent data set. In the ubiquitylation sites prediction model, Skip-Gram, CBOW and EAAC feature extraction codes were used to extract protein sequence fragment features, and the predicted results on training and independent test data have also achieved good performance. In a word, the comparison results demonstrate that our models have a decided advantage in predicting ubiquitylation proteins and sites, and it may provide useful insights for studying the mechanisms and modulation of ubiquitination pathways. The datasets and source codes used in this study are available at: https://github.com/gmywqk/Ub-PS-Fuse.
Bones of contention: a double blind study of experts’ ability to classify sheep and goat astragali from images
Authors: Sipilä Ilkka M. V. , Steele James , Dickens Luke , Martin Louise 
Published: September 2022

Abstract
In zooarchaeology, animal bones are normally identified using comparative macro-morphological methods, which involve visual comparison of the bone with reference materials. However, recent work has oppugned the reliability of these methods. Although previous studies applying macro-morphological methods to identify sheep and goat bones have found low error rates, these results are based on small numbers of analysts, large numbers of different bone types and do not properly account for ambiguous "sheep/goat" classifications.
We present an extensive blind study of performance and reliability for binary macro-morphological species identification using just the astragalus. Each participant made independent comparative identifications on a random subset, including repeat presentations for consistency analysis. No sheep/goat category was offered. Instead, participants reported confidence scores on each sample. The participants also reported the reference materials used and indicated their regions of attention in each image.
Findings indicate that neither the use of reference materials nor experience are good predictors of accuracy, although more experienced analysts are found to be more consistent. Forcing binary classifications leads to a more transparent analysis but indicates lower performance scores than reported elsewhere, while corresponding confidence scores positively correlate with accuracy. Qualitative analysis of reported attention regions indicate that mistakes can occur when there is an overlap in the morphologies of the two species. We conclude that overreliance on reference materials impacts performance when the morphology of reference materials is not representative of the population variance, which is especially evident when the wider bone morphology is not adequately integrated into the classification decision.
Virtual Machine Instance’s Price Prediction using Machinelearning Techniques at the Cloud Data Center
Authors: Sharma Neeraj , Koduru Tejodbhav , Kandimalla Sai Yasheswini , Bojjagani Sriramulu 
Published: September 2022

Abstract
Virtual Machine (VM) instance price prediction in cloud computing is an emerging and important research area. VM instance’s price prediction is used for different purposes such as reducing energy consumption, maintaining Service Level Agreement (SLA), and balancing workload at cloud data centers. In this paper, we propose a Seasonal Auto-Regressive Moving Average (SARIMA) based VM instance price prediction. We also investigate two VM instance price prediction models known as Auto Regressive Integrated Moving Average (ARIMA), and Long ShortTerm Memory (LSTM). The experimental results show that the proposed SARIMA (0,1,0) (1,1,0) instance’s price prediction model outperforms the ARIMA and LSTM models with a MAPE percentage of 1.147.