bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Deep Learning Method for Dynamic Workpiece Grasping Detection Under Illumination Interference
Authors: Yunhan Li , Jingjing Lou , Haijun Wu , Chuan Ye , Ruichao Zhao , Yuhang Jiang 
Published: September 2024

Abstract

Achieving accurate and stable detection results is crucial for robotic gripping tasks in environments with uneven lighting. To address this, this paper proposes a target object detection network (YOLO-Net) that integrates feature fusion and attention mechanisms. Firstly, a deep learning-based object detection model is established to mitigate the interference caused by uneven lighting. This model effectively overcomes the disturbances from uneven lighting and accurately extracts the features of the objects to be grasped. Secondly, the pose of the target object in the world coordinate system is obtained through hand-eye calibration transformation. Finally, robot modeling and control are performed within the ROS system to guide the robot in precisely grasping and placing the target object. Experimental results demonstrate that the proposed method effectively handles the interference caused by uneven lighting, achieving a recognition accuracy of 92.2% and an overall average grasping success rate of 93.75%, confirming the feasibility and effectiveness of the proposed approach.
Regulatory effect of germination on physicochemical, structural, pasting, and thermal properties of Japonica brown rice flour
Authors: wang xiuqi , Zhang Guangchen , Hua Dong , Yu Pengcheng , He Yutang , sun jian , Liu He 
Published: September 2024

Abstract

This study comprehensively investigated the effect of germination on the physicochemical properties and molecular structure of japonica brown rice varieties. During germination, the amylose content of the rice reduced by 1.1–4.27 g/100g, while the amylopectin content reduced by at least 9.52%. Germination increased the reducing sugar content, and α-amylase activity of japonica brown rice and upregulated the expression of α-amylase-encoding genes. Furthermore, germination disrupted the short-range ordered structure of brown rice flour and reduced its relative crystallinity. In contrast, it had little effect on the A-type crystal structure of brown rice starch. Notably, germination enhanced thermal stability and reduced retrogradation in japonica brown rice. Principal component analysis revealed that the gene regulation was positively correlated with α-amylase activity, which in turn influenced the hardness, thermal stability, and retrogradation properties of brown rice. This study provides data supporting the optimization of japonica and the development of germinated grain foods.
Ultra-short-term Single-step Photovoltaic Power Prediction based on VMD-Attention-BiLSTM Combined Model
Authors: Yu Haisheng , Song Shenhui 
Published: September 2024

Abstract

Research on photovoltaic systems (PV) power prediction contributes to optimizing configurations, responding promptly to emergencies, reducing costs, and maintaining long-term system stability. This study proposes a VMD-Attention-BiLSTM model for predicting ultra-short-term photovoltaic power to further enhance prediction performance. Firstly, VMD decomposes historical photovoltaic power data into multiple sub-sequences with different frequencies, treating each sub-sequence as a separate input variable for data expansion. Secondly, the Attention mechanism calculates the correlation coefficients between variables and assigns corresponding weights based on the magnitude of the correlation coefficients between each input variable and the output variable. Finally, the BiLSTM model adopts a dual-layer LSTM structure to more accurately extract features. Experimental results show that compared to various advanced deep learning methods, the MAE of the VMD-Attention-BiLSTM combined model improves by at least 29%.
Achieving Sustainability Development Goals of Quality Education through “VIDGRATION” Method
Authors: Harith Siti Hawa , Zabidi Norsharina , Zulkifly Syazwan Syah , Mohammad Nur’Jila 
Published: September 2024

Abstract

Flexible teaching through the application of “VIDGRATION” method, a video-based teaching tool that specifically been used for the non-law students is one of the efforts to support the Sustainable Development Goal (SDG) 4 of Quality Education. This study investigates the effectiveness of “VIDGRATION” method toward improving the non-law students understanding on law related subject. The non-law students mostly face difficulty with the law related subject due to their unfamiliarity with the law terms and wording. Therefore, these students unable to understand the lesson and score poorly during examination. “VIDGRATION” method is being introduce to facilitate the non-law students’ learning process. This qualitative study undertaken toward 99 non-law students who enrolled for the Human Resource Management subject. This intervention study was undertaken in three stages of problem identification, intervention and evaluation. All data were triangulated from instructor’s and students’ reflection, focus group interview and comparison between the pre-quiz and post-quiz result. The results show that “VIDGRATION” method has successfully improve the non-law students understanding toward the law related subject. In addition, the non-law students also manage to improve their time management skill, readiness to study and develop critical thinking on the application of real working scenario.
Identification of Novel Genes Implicated in Acute Myeloid Leukemia Progression using Bioinformatics Analysis of Microarray Data
Authors: Al-Sayegh Hassan Aboudi Hassan , Safaralizadeh Reza 
Published: September 2024

Abstract

Background
Acute myeloid leukemia (AML) is a malignancy characterized by the uncontrolled proliferation of blood cells. Nowadays the incidence and prevalence of AML is growing rapidly, making more precise diagnostic tools and novel treatments open to urgent exploration. Genetic abnormalities and environmental factors are involved in the pathogenesis of AML and thereby, Microarray analysis have been applied to explore underlying pathways and genetic function. In this study we aimed to identify the differentially expressed genes (DEGs) and assess protein–protein interaction (PPI) to investigate the underpinned molecular and genetic mechanisms of AML.
Methods
The present study applied comprehensive statistical analysis in order to examine gene expression profiles in datasets GSE9476, GSE48558, and GSE63270 from the GEO database. The datasets were selected to provide a broad representation of gene expression changes associated with AML. Through this rigorous analysis, DEGs were identified across three databases. The identified DEGs were then subjected to further scrutiny, and genes such as TRIB2, LGALS1, FLT3, HOMER3, LMNA, CFD, and ABLIM1 were singled out for additional investigation. The mentioned genes were selected based on their potential significance in AML and were further analyzed using Gene Ontology (GO) analysis to understand their biological roles, functions, and the pathways they might be involved in AML.
Results
Our bioinformatics analysis revealed that among the explored genes, CFD and ABLIM1 were linked to AML.
Conclusion
It is concluded that ABLIM1 and CFD genes are associated with the presence and progression of AML, even in different subtypes of the disease.
A C2H2-type zinc finger protein from Mentha canadensis, McZFP1, negatively regulates epidermal cell patterning and salt tolerance
Authors: Bai Yang , Zheng Xiaowei , Xu Yichuan , Li Li , Qi Xiwu , Yu Xu , Qin Chun , Liu Dongmei , Chen Zequn , Liang Chengyuan 
Published: September 2024

Abstract

C2H2-type zinc finger protein (C2H2-ZFP) transcription factors play evident roles in regulating plant growth and development and abiotic stress responses. However, the role of C2H2-ZFP from Mentha canadensis remains uncertain. Here, we identified the multifunctional C2H2-ZFP gene McZFP1 from M. canadensis based on phylogenetic analysis. The McZFP1 gene was highly expressed in stems, responding to abiotic stress and phytohormone treatments. McZFP1 localized in the nucleus and showed no transcriptional self-activation activity. McZFP1 overexpression in Arabidopsis thaliana significantly reduced the number of trichomes and root hairs, root hair length, and salt stress tolerance. Further study revealed that McZFP1 overexpression increased the expression of negative regulator genes and decreased that of positive regulator genes to inhibit plant trichome and root hair development. Malondialdehyde accumulation was promoted, but the proline content and catalase, superoxide dismutase, and peroxidase activities were reduced and the expression of stress-response genes was inhibited in McZFP1 overexpression lines under salt treatment, thereby compromising plant salt tolerance. Overall, these results indicate that McZFP1 is a novel C2H2-ZFP transcription factor that plays negative roles in trichome and root hair development and salt stress tolerance.
A Fragment-Based Screen for Inhibitors of Escherichia coli N5-CAIR Mutase
Authors: Sharma Marcella F. , Firestine Steven 
Published: September 2024

Abstract

Although purine biosynthesis is a primary metabolic pathway, there are fundamental differences between how purines are synthesized in microbes versus humans. In humans, the purine intermediate, 4-carboxy-5-aminoimidazole ribonucleotide (CAIR) is directly synthesized from 5-aminoimidazole ribonucleotide (AIR) and carbon dioxide by the enzyme AIR carboxylase. In bacteria, yeast and fungi, CAIR is synthesized from AIR via an intermediate N5-carboxyaminoimidazole ribonucleotide (N5-CAIR) by the enzyme N5-CAIR mutase. The difference in pathways between humans and microbes indicate that N5-CAIR mutase is a potential antimicrobial drug target. To identify inhibitors of E. coli N5-CAIR mutase, a fragment-based screening campaign was conducted using a thermal shift assay and a library of 4,500 fragments. Twenty-eight fragments were initially identified that displayed dose-dependent binding to N5-CAIR mutase with Kd values ranging from 9-309 µM. Of the 28, 14 were obtained from commercial sources for retesting; however, only 5 showed dose-dependent binding to N5-CAIR mutase. The five fragments were assessed for their ability to inhibit enzyme activity. Four out of the 5 showed inhibition with Ki values of 4.8 to 159 µM. All fragments contained nitrogen heterocycles with 3 out of the 4 containing 5-membered heterocycles like those found in the substrate of the enzyme. The identified fragments show similarities to compounds identified from studies on B. anthracis N5-CAIR synthetase and human AIR carboxylase suggesting a common pharmacophore.
Differences in oral hypofunction prevalence and category measures across age groups and sex in Japan: a pilot study
Authors: Hidaka Rena , Matsuo Koichiro , Tanaka Misaki , Sriniva Murali , Kanazawa Manabu 
Published: September 2024

Abstract

Objectives
The deterioration of oral function to a state of oral hypofunction (OHF) has been associated with malnutrition and frailty. This cross-sectional pilot study investigated for differences in OHF prevalence and its category measures across age groups and sex, as well as their associations with physical function.
Methods
A total of 155 healthy adults (median age: 55 years, range: 22–89 years) participated in this study after providing informed consent. The cohort was age and sex matched. Seven oral function measures based on the concept of OHF were assessed: oral hygiene (Hygiene), oral dryness, maximum occlusal force (MOF), lip-tongue motor function (LTMF), maximum tongue pressure (MTP), masticatory function, and swallowing function. Hand grip strength (HGS) was also measured. The participants were divided into the young (20–39 years), middle (40–64 years), and old (≥ 65 years) age groups for linear regression analysis of differences in oral and physical function. Differences in OHF prevalence were tested by the chi-square test.
Results
The prevalence of OHF was significantly higher in the old group than in the young and middle groups. Such OHF measures as Hygiene, MTP, LTMF, and MOF were significantly worse in the old group as well. The measures of Hygiene and LTMF showed a moderate correlation with age in the multiple regression model (standardized partial regression coefficient, β = 0.24 and − 0.19, respectively). HGS was significantly associated with MTP (β = 0.58, p < 0.001) and LTMF (β = 0.38, p = 0.002) in both male and female participants.
Conclusions
Our findings suggest that OHF prevalence increases with age, especially after 65 years old. However, the pathological route may vary among OHF categories.
What competencies does an orthodontic postgraduate need?
Authors: Mahdavifard Hamid , Noorollahian Saeed , Omid Athar , Yamani Nikoo 
Published: September 2024

Abstract

Introduction:
Competency frameworks are used to guide professional education and assessment. An orthodontic graduate needs various competencies. This study aimed to determine competencies and create a basic competency framework for orthodontic graduates.
Methods
This descriptive cross-sectional study used the Delphi method. A comprehensive literature review was conducted in the ISI, Scopus, PubMed, Eric and Google scholar; the orthodontic curriculum in Iran; and the orthodontic curricula that were available. The skills necessary for an orthodontic graduate were extracted. The list of competencies was designed in the form of an electronic questionnaire as the first round of Delphi. Fifty-two orthodontic specialists (university staffs) were asked to determine the degree of necessity of competencies for an orthodontic graduate using a five-point Likert scale. In the second round, nine competencies were transferred from the first round Delphi, and four competencies were extracted from the experts' opinions and were included in the questionnaire.
Results
A total of 85 articles and 4 curricula were reviewed and 77 competencies were identified in 11 domains. In the first round of the Delphi, 68 competencies were accepted, for a quota of 70%, and nine were transferred to the second round of the Delphi. At this round, most of the competencies in the field of “data collection and recording”, “treatment procedures”, “patient-centered treatment”, “dental knowledge, “clinical reasoning and moral judgment”, “communication skills”, “Health Promotion”, “Attitude, legal responsibilities and ethical issues (professionalism)”, “information management”, and “Self-development” through participation were accepted. Finally, the domain of competence “the dentist's role in the health system” was removed, and ten domains (73 competencies) were accepted.
Conclusions
The competencies identified in this study can be used in the design of competency-based curricula, education and assessment in post-graduate orthodontic program.
Bioactive compounds from fermented Vernonia amygdalina leaf: Potent antibiotics against multidrug-resistant Escherichia coli and Salmonella typhi
Authors: Kazeem Atunnise Adeleke , Sossou Ibukun Temitope , Peters Peace Sekani , Ajayi Solomon Damilare , Elechukwu Dumebi Anthony , Salau TiOluwani Bamdele , Adebayo Olusegun Lateef , Salau Bamidele Adewale 
Published: September 2024

Abstract

Antibiotic resistance microorganisms (ARMs), especially gram-negative bacteria, are a global health threat. The impact of fermentation on phytochemicals is numerous, and exploring this potential is the front line of drug development. The study investigates the role of fermentation in modifying V. amygdalina leaf secondary metabolites as a potent antibiotic against Escherichia. coli, Bacillus subtilis, and Salmonella typhi. The results of this work showed that the fermentation process increased the content of lycopene, flavonoid, and carotenoid compounds but decreased chlorophyll, soluble protein, and phenol. Pearson's correlation heatmap showed a strong correlation between microbial activities and secondary metabolic changes. The methanolic extract of fermented V. amygdalina leaf pulp (VALP) showed significant antioxidant and anti-inflammatory activities. The GCMS and FTIR outputs showed unique compounds and structural modifications at different intervals of the fermentation period. In-silico analyses showed that 4,6-Cholestadien-3β-ol – a compound that is unique to the 9th day of fermentation was responsible for the inhibition of the gram-negative bacteria via multiple non-ionic interactions with key catalytic site residues and higher binding affinity to OmpC, OmpF, and RNase P than ampicillin. Therefore, this steroid-derived compound may open a new pipeline into the development of multi-target antibiotics against a broad-spectrum multidrug-resistant gram-negative bacterial.
Quantitative Evaluation of China's Commercial Health Insurance Policies Based on the PMC-Index Model
Authors: Zhang Liujin , Ma Wenwen , Zheng Chao , Song Jiling , Sun Qiang , Yin Jia 
Published: September 2024

Abstract

Objective This study aims to quantitatively evaluate China's commercial health insurance (CHI) policies and provide a reference for improving the policy.Methods By means of the text mining and literature research method, the Policy Modeling Consistency Index (PMC-index) model of CHI policies is constructed. Then, the 22 included policies are analyzed one by one, and the PMC surface chart of the overall policies is constructed to reflect the current status of CHI policies in China macroscopically.Results The PMC-index model consisted of 10 primary variables and 41 secondary variables. This study found that the average PMC index of the 22 policies included is 7.47, suggesting that existing policies are generally of high quality. Among them, good policies accounted for 18.18%, and excellent policies accounted for 81.82%. Among the primary variables, X10 (policy disclosure) had the highest score, and the scores of other primary variables were ranked as X3 (policy recipients) > X5 (policy content) > X6 (policy tools) > X8 (cooperation and connection) > X7 (content evaluation) > X1 (policy nature) > X9 (policy goals) > X4 (policy incentives) > X2 (policy timeliness).Conclusions At present, China's CHI policies are generally at an excellent level. However, there is still room for improvement with regard to “policy incentives, policy goals, content evaluation, policy tools and policy content”. We recommend that policymakers optimize China's CHI policies by improving the policy incentive mechanism; balancing policy goals; clarifying task distribution; optimizing policy tool structure; and developing inclusive health insurance.
Analysis on vibration screening by Rayleigh wave propagation through open and in-filled trench
Authors: Barman Rahul 
Published: September 2024

Abstract

This research tackles the important problem of ground vibrations brought on by pile driving, machine foundation, blasting load, and train-induced load, as well as their possible effects on adjacent structures and delicate equipments. Numerous investigations using experimental and computational methods have been conducted on vibration isolation. Rayleigh waves are the primary carrier of vibrational energy. The phenomenon of Rayleigh wave propagation through various elastic media, such as an in-filled trench, is highly intriguing, yet there is a dearth of literature on it. It has explored an innovative solution using Geofoam, crumb rubber, a non-biodegradable waste and concrete. This research discusses how the reflected and transmitted Rayleigh wave has altered the displacement before and after the trench. The whole vibration screening investigation was conducted with the transmission, reflection, and propagation of Rayleigh waves in mind. A standard numerical analysis has also been conducted to determine the differences between the two approaches. The displacement of soil particles in both vertical and horizontal directions has been observed. Numerous parametric study variations, such as trench depth, width, location, and operation frequency, have been investigated in this study. There is a favourable result when the finite element and analytical findings are compared.
Understanding Depression in Autism: The Role of Subjective Perception and Anterior Cingulate Cortex Volume
Authors: Hao Yu , Banker Sarah , Trayvick Jadyn , Barkley Sarah , Peters Arabella , Thinakaran Abigael , McLaughlin Christopher , Gu Xiaosi , Foss-Feig Jennifer , Schiller Daniela 
Published: September 2024

Abstract

Background
The prevalence of depression is elevated in individuals with autism spectrum disorder (ASD) compared to the general population, yet the reasons for this disparity remain unclear. While social deficits central to ASD may contribute to depression, it is uncertain whether social interaction behavior themselves or individuals' introspection about their social behaviors are more impactful. Although the anterior cingulate cortex (ACC) and amygdala are frequently implicated in ASD, depression, and social functioning, it is unknown if these regions explain differences between ASD adults with and without co-occurring depression.
Methods
The present study contrasted observed vs. subjective perception of autism symptoms and social performances assessed with both standardized measures and a lab task, in 65 sex-balanced (52.24% male) autistic young adults. We also quantified ACC and amygdala volume with 7-Tesla structural neuroimaging to examine correlations with depression and social functioning.
Results
We found that ASD individuals with depression exhibited differences in subjective evaluations including heightened self-awareness of ASD symptoms, lower subjective satisfaction with social relations, and less perceived affiliation during the social interaction task, yet no differences in corresponding observed measures, compared to those without depression. Larger ACC volume was related to depression, greater self-awareness of ASD symptoms, and worse subjective satisfaction with social interactions. In contrast, amygdala volume, despite its association with clinician-rated ASD symptoms, was not related to depression.
Limitations
: Due to the cross-sectional nature of our study, we cannot determine the directionality of the observed relationships. Additionally, we included only individuals with an IQ over 60 to ensure participants could complete the social task, which excluded many on the autism spectrum. We also utilized self-reported depression indices instead of clinically diagnosed depression, which may limit the comprehensiveness of the findings.
Conclusions
Our approach highlights the unique role of subjective perception of autism symptoms and social interactions, beyond the observable manifestation of social interaction in ASD, in contributing to depression, with the ACC playing a crucial role. These findings imply possible heterogeneity of ASD concerning co-occurring depression. Using neuroimaging, we were able to demarcate depressive phenotypes co-occurring alongside autistic phenotypes.