bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel insight in Lepidoptera phylogenetics from the mitochondrial genome of the apple fruit moth of the family Argyresthiidae
Authors: Elameen Abdelhameed , Maduna Simo N. , Mageroy Melissa H. , Eerde Andre van , Knudsen Geir , Hagen Snorre B. , Eiken Hans Geir 
Published: August 2023

Abstract

Background The order Lepidoptera has an abundance of species, including both agriculturally beneficial and detrimental insects. Based on molecular data, the phylogenetic relationships of the major subdivisions of Lepidoptera have been investigated, contributing to the understanding of the evolutionary relationships at the superfamily and family levels. However, the phylogenetic placement of many superfamilies and/or families in this order is still unknown. In this study, we determine the systematic status of the family Argyresthiidae within Lepidoptera and explore its phylogenetic affinities and implications for the evolution of the order. We describe the first mitochondrial (mt)genome from a member of Argyresthiidae, the apple fruit mothArgyresthia conjugella. The insect is an important pest on apples in Fennoscandia, as it switches hosts when the main host fails to produce crops. Results The mt genome ofA. conjugellacontains 16,044 bp and encodes all 37 genes generally found in insect mt genomes, including 13 protein-coding genes (PCGs), two ribosomal RNAs, 22 transfer RNAs, and a large control region (1101 bp). The nucleotide composition was extremely AT-rich (82%). All detected PCGs (13) began with an ATN codon and terminated with a TAA stop codon, except the start codon incox1is ATT. All 22 tRNAs had cloverleaf secondary structures, except tRNAS1, where one of the dihydrouridine (DHU) arms is missing, reflecting potential differences in gene expression. When compared to the mt genomes of 507 other Lepidoptera representing 18 superfamilies and 42 families, phylogenomic analyses found thatA. conjugellahad the closest relationship with the Plutellidae family (Yponomeutoidea-super family). We also detected a sister relationship between Yponomeutoidea and the superfamily Tineidae. Conclusions Our results underline the potential importance of mt genomes in comparative genomic analyses of Lepidoptera species and provide robust evolutionary insight across the tree of Lepidoptera species.
The student voice on integrative teaching and learning of academic literacy at a South African university of technology
Authors: TICHA IGNATIUS , Nakhooda Muhammad , OBI ULOMA 
Published: August 2023

Abstract
This study undertakes a detailed analysis of students' reflections to determine whether integrative learning and teaching of academic literacy improves students’ learning experience and adds value to the academic literacy course. The rationale for the study is that there is yet, no agreement at the selected institution on the most effective model for designing and teaching academic literacy courses. As such, many models exist, creating the need for ongoing inquiry on the appropriateness and value of the different models. Also, most studies give voice to lecturers rather than the students for whom the courses are designed. Following an empirical research conducted in a selected academic program at the University of Technology, students were interviewed. Questionnaires were administered to fifteen students, vis-a-vis their reflections on integrative learning and teaching. The findings revealed that integrative learning and teaching of academic literacy had value in the specific case, improving students’ learning experience, making disciplinary discourses more elicit and ensuring that literacy skills acquired were applied in the discipline or content areas.
Dietary carotenoid intake and fracture risk based on NHANES 2013- 2018 data: A propensity Score Matching
Authors: Charkos Tesfaye , Lemi Hunde , Oumer Kemal Sherefa 
Published: August 2023

Abstract
Introduction: Several epidemiological studies reported inconsistent findings on the association between carotenoid intake and fracture risk. This study aimed to determine the association between individual carotenoid intake with fracture risk.
Methods: A cross-sectional study based on data from the National Health and Nutrition Examination Survey (NHANES), 2013–2018. This study identified elderly individuals with valid and complete data on carotenoid intake and bone mineral density. The average of α-carotene, β-carotene, β-cryptoxanthin, lycopene, and lutein + zeaxanthin was taken based on the two 24-hour recall interviews. BMD was measured by dual-energy X-ray absorptiometry (DXA). Matching was done based on age, sex, and body mass index (BMI). Logistic regression models were used to test the associations between carotenoids and fracture risk All analyses were performed by using the R (Version: 3.4.3; R Foundation for Statistical Computing, Vienna, Austria)
Results: A total of 5491 (1140 cases and 4351 control) subjects were included in this study. The average age of the subjects was 55.62 ± 14.84 years old. In the adjusted model, The risk of osteoporotic fracture was decreased by 6.2% (OR: 0.938; 95%CI: 0.699 to 0.989) and 1.4% (OR 0.986; 95%CI: 0.975 to 0.997) for dietary intake of beta-carotene and lycopene respectively.
Conclusions: Dietary intakes of beta-carotene and lycopene have significantly reduced the risk of osteoporotic fracture among the elderly population in the United States of America.
Dynamic changes of soil microbial communities during the afforestation of Pinus armandii in a karst region of Southwest China
Authors: He Bin , Li Qing , Zou Shun , Bai Xiaolong , Li Wangjun 
Published: August 2023

Abstract
Purpose
Clarifying the response of soil microbial communities to vegetation restoration is essential to comprehend biogeochemical processes and ensure the long-term viability of forest development. Nonetheless, it remains uncertain how plants and soil influence microbial properties, particularly in ecologically vulnerable areas like the karst region.
Methods
To assess the variations in soil microbial communities throughout the growth of Pinus armandii plantations in the karst region, we utilized the "space instead of time" approach and selected four P. armandii stands with ages ranging from 10 to 47 years, along with a grassland control. The microbial community structure was determined by conducting Illumina sequencing of the 16S rRNA gene and the ITS gene, respectively.
Results
The results demonstrated that afforestation with P. armandii significantly influenced soil microbial communities, as indicated by notable differences in bacterial and fungal composition and diversity between the plantations and the control. However, soil microbe diversity did not display significant variation across stand ages. Moreover, the bacterial community exhibited higher responsiveness to age gradients compared to the fungal community. Soil physicochemical factors play a critical role in elucidating variations in microbial diversity and community composition during the restoration processes.
Conclusions
Overall, our findings indicate substantial changes in soil bacterial and fungal communities across successive stages of development. Additionally, the changes in dominant bacteria and fungi characteristics across the age gradient were primarily attributed to variations in the prevailing soil conditions and chemical factors.
Feasibility of bioremediation of iron-contaminated water using Trichonephila clavipes spider webs
Authors: Ruiz Valentina Martinez , Londoño Victoria Eugenia Pizza , SUAREZ Marisol GORDILLO , Rosero Javier Jurado 
Published: August 2023

Abstract
Heavy metals are of great environmental and sanitary importance due to the toxicity they generate, for this reason a wide variety of methods have been studied for their elimination in the water matrix. One of these methodologies is bioremediation, which consists of removing these elements using biomass (microorganisms or plants), live plants (phytoremediation) or biomaterials.
In this study, we investigated the technical feasibility of using the Trichonephila clavipes spider web as a biomaterial for iron removal in water by bioremediation. A bibliometric analysis was carried out, where the process variables and an experimental design were defined using the Response Surface Methodology (RSM), and the iron concentrations were measured before and after the experiment using X-ray fluorescence spectroscopy by dispersive energy (EDX). We obtained an iron removal of 91.82%, using 28.09 h, 81.42 ppm of iron and 0.062 g of spider web. This work is novel and presents a new methodology for the bioremediation of water contaminated with iron, using spider webs. The results indicate a high efficiency in the removal of iron, which could have important implications in solving environmental and health problems associated with the presence of heavy metals in water.
WITHDRAWN: CNN-NDOGSPM-CSVM: Advancing Image Feature Sparse Coding and Classification for Enhanced Recognition Performance
Authors: SHU Zhong 
Published: August 2023

Abstract
This paper introduces a novel approach, CNN-NDOGSPM-CSVM, for image feature sparse coding and classification. The algorithm combines the analysis of Scale Invariant Feature Transform-Sparse Coding-Spatial Pyramid Matching and Convolutional Neural Networks-Sparse Coding-Spatial Pyramid Matching algorithms with the principles of Support Vector Machines (SVM). The objective is to enhance convergence control, improve the performance of the pyramid space model (SPM), and optimize the CSVM classifier. In the N-DOG-SPM model, emphasis is placed on controlling image feature sparse coding convergence efficiency and achieving real-time updatable sparse coding. The algorithm constructs an operation function using iterative operation direction and gradient parameters. However, initial experiments reveal challenges in achieving ideal convergence control. To address this, the algorithm focuses on constraints for local sparse coding and accurate calculation of control parameters. The SPM is enhanced by expanding the weight distribution range of the learning dictionary and feature sparse coding operation. This improvement addresses the negative effects of sparse coding iteration and value, resulting in improved convergence control and classification results. In the CSVM classifier, traditional minimum value calculation through differential derivatives is replaced. Bayesian recurrence theory and clustering classification theory are employed, while image feature sparse coding of Gaussian distribution is re-described. Posterior probability operation rules are used to solve key direction vectors, improving real-time updating accuracy. Through comprehensive evaluation, the experimental results demonstrate that the proposed CNN-NDOGSPM-CSVM model exhibits high reliability, accuracy, stability, and superior processing efficiency compared to classical image recognition models. The algorithm's performance is assessed in terms of image feature extraction, feature classification, image recognition accuracy, and processing efficiency.
Device and Circuit-Level Performance Evaluation of DG-GNR-DMG Vertical Tunnel FET
Authors: Liana Zohming , Tripathy Manas Rajan , Choudhuri Bijit , Bhowmick Brinda 
Published: August 2023

Abstract

This work presents the comparative study of Graphene Nanoribbon (GNR) based channel Double Gate (DG) Dual Gate Material (DMG) Vertical tunnel FET performance with all Silicon material TFET. The two-dimensional material GNR has been proposed in the channel material to enhance the device performance due to its low bandgap, high mobility, and high saturation velocity. The proposed device's DC, RF, and circuit-level performance analysis has been carried out for the first time. GNR-based channel VTFET shows a better average subthreshold swing (SSAVG ) of 16 mV/decade compared to Si VTFET (36 mV/decade) at a drain voltage VDS=0.5 V. The study of temperature effects on the DC parameters is also included along with the analog/RF FOMs for the proposed two structures. In addition, the performances are compared with other reported works; it is observed that DG-GNR-DMG-VTFET offers better results than Si-based VTFET and other said TFET work. Finally, circuit-level analysis has been done by designing inverter and ring oscillator circuits for the proposed structures, and performance is compared in these two devices. The market-available Silvaco ATLAS TCAD simulator has been used for device-level simulation. Further, circuit-level analysis has been carried out in the Cadence Virtuoso tool using a look-up table-based Verilog-A model.
Accessible soliton solutions with initial phase-front curvature in strongly nonlocal nonlinear media
Authors: zhang shaohua , qu jun 
Published: August 2023

Abstract
Based on the extended fractional dimensional nonlinear Schrödinger equation and the variable separation method, a fractional accessible soliton solution with initial phase curvature is proposed for the first time. The soliton solution of the model is composed of hypergeometric functions and generalized Laguerre polynomials in fractional dimensional space, namely, Hypergeometric-Laguerre-Gaussian soliton. The theoretical results indicate that a series of different types of solitons are generated with the change of the beam parameters, forming a fractious family of solitons. At the same time, solitons produce a splitting phenomenon similar to that of the Hermitian beams. Additionally, the initial phase curvature also affects the stability of beam propagation, suppressing the formation of soliton.
Automotive air conditioning vent defect detection method based on improved yolov5
Authors: Zheng Gang , Xu HaiFu , Fu YongZhong , Kong Xiao , Qiu Liang 
Published: August 2023

Abstract
In response to the low efficiency and high miss rate in the manual quality inspection of automotive air vent trim rings by current automotive suppliers, this paper proposes an improved YOLOv5-based method for detecting defects in automotive air vent trim rings. Firstly, the Coordinate Attention(CA) is introduced into the network to improve the feature extraction capability of the network for defects in automotive air vent trim rings. Secondly, the Space-to-Depth(SPD) module is introduced for downsampling to reduce the loss of subtle features during the downsampling process, which is beneficial for improving the feature extraction of the network for trim ring defects. Finally, the detection head is replaced with a decoupling head to alleviate the conflict between the classification task and the regression task, thereby improving the defect detection rate. On a self-generated dataset of defects in automotive air conditioning vent trim rings, the improved network achieves a mean accuracy(mAP) of 93.6%, an accuracy of 91.3%, and a recall rate of 88. 9%. Compared with the original network, the precision is improved by 3.4%, the accuracy is improved by3.2%,and the recall rate is improved by 3%.The proposed method can achieve defect detection in automotive air conditioning vent trim rings, laying a foundation for building an automated quality inspection system for automotive air conditioning vent trim rings.
Response of Oxidative Stress and Neurotoxicity Biomarkers in Rainbow Trout (Oncorhynchus Mykiss) After Exposure to Six-Metal Mixtures
Authors: Nalivaikienė Reda , Kalcienė Virginija , Butrimavičienė Laura 
Published: August 2023

Abstract
The activity of liver catalase (CAT) and brain acetylcholinesterase (AChE) was assessed in rainbow trout (Oncorhynchus mykiss) after 7- and 14-day exposure to a six-metal mixture at the maximum permissible concentrations (MPC) accepted for inland waters in the EU (2013/39/EB; 2008/105/EB) (Zn – 0.1, Ni – 0.034, Cu – 0.01, Cr – 0.01, Cd – 0.0015 and Pb – 0.014 mg L-1) (Mix) and to the same six-metal mixtures with tenfold reduced concentration of Cu (Mix Cu↓) and Cr (Mix Cr↓) ions. A statistically significant increase of up to 26% of CAT and 52% of AChE activity was observed in rainbow trout after 7 days of exposure to the six-metal mixture at MPC in comparison to a control group. After 14 days of treatment, neither CAT nor AChE showed a significant response. Moreover, 7 and 14 days of exposure to the six-metal mixtures with the tenfold reduced concentrations of Cr or Cu ions did not significantly alter CAT activity. The six-metal mixture with the tenfold reduced concentration of Cr increased brain AChE activity in O. mykiss after 7 days of exposure (35%), but did not show a significant response in AChE activity in comparison to a control group after 14 days of treatment. After 7 and 14 days of exposure to the six-metal mixture with the tenfold reduced concentration of Cu ions, AChE activity did not vary significantly in comparison to control groups. Enhancement of catalase activity caused by the mixture of the six metals at MPC and the increased AChE activity in response to the same metal mixture and mixture with tenfold reduced Cr concentration after 7 days of exposure indicates the induction of oxidative stress and disturbance of cholinergic system homeostasis respectively.
Cell autonomous role of border associated macrophages in ApoE4 neurovascular dysfunction and susceptibility to white matter injury
Authors: Iadecola Costantino , Anfray Antoine , Schaeffer Samantha , Hattori Yorito , Santisteban Monica , Casey Nicole , Wang Gang , Strickland Michael , Zhou Ping , Holtzman David , Anrather Josef , Park Laibaik 
Published: August 2023

Abstract

Apolipoprotein-E4 (ApoE4), the strongest genetic risk factor for sporadic Alzheimer’s disease, is also a risk factor for microvascular pathologies leading to cognitive impairment, particularly subcortical white matter injury. These effects have been attributed to alterations in the regulation of the brain blood supply, but the cellular source of ApoE4 and the underlying mechanisms remain unclear. In mice expressing human ApoE3 or ApoE4 we report that border associated macrophages (BAM), myeloid cells closely apposed to neocortical microvessels, are both the source and the target of the ApoE4 mediating the neurovascular dysfunction through reactive oxygen species. ApoE4 in BAM is solely responsible for the increased susceptibility to oligemic white matter damage in ApoE4 mice and is sufficient to enhance damage in ApoE3 mice. The data unveil a new aspect of BAM pathobiology and highlight a previously unrecognized cell autonomous role of BAM in the neurovascular dysfunction of ApoE4 with potential therapeutic implications.
WASH and drinking water quality considerations in schools in reflection of the sustainable development goals – a review
Authors: Ngcongo Magareth Thulisile , Tekere M. 
Published: August 2023

AbstractPoor drinking water quality has been linked to negative health outcomes across the world. Drinking water quality is an essential part of safe water, sanitation, and hygiene (WASH). Safe WASH in schools is linked with the achievement of sustainable development goals (SGDs), specifically, SDG 6. It is unclear whether water quality is always assessed as part of WASH in schools. This study focused on determining the consideration of water quality aspects during WASH assessment in schools by examining published studies. A systematic online review of the literature was conducted to identify studies that reported on the assessment of WASH facilities in schools. Titles, abstracts, and full text of retrieved articles were screened. Seventy-five studies were identified. Thirty-two studies considered drinking water quality analysis as part of WASH in schools. Chemical (66%), microbial (59%), and physical (38%) parameters were included in drinking water quality analysis, with lead (Pb), and Escherichia coli being mostly included. This study reveals that some studies did not include an evaluation of drinking water quality, though it reflects an important exposure pathway between WASH services and health outcomes. It is, therefore, recommended that routine water quality monitoring be included in school WASH to ensure learner's health is protected.
Application of machine learning models in assessing the hydrological changes under climate change in the transboundary 3S River Basin
Authors: Nguyen Quyen , Shrestha Sangam , Ghimire Suwas , Sundaram S. Mohana , Xue Wenchao , Virdis Salvatore G. P. , Maharjan Manisha 
Published: August 2023

Abstract
This paper aims to evaluate two machine learning (ML) algorithms, namely, convolutional neural network (CNN) and long short-term memories (LSTM) deep learning algorithms, to predict the hydrological regime of the 3S River Basin under various climate change scenarios. Climate models CMCC-CMS, HadGEM-AO2, and MIROC5 were used to predict future climate and streamflow for three future periods: near-future (2020–2050), mid-future (2050–2080), and far-future (2080–2100) under two Representative Concentration Pathways (RCPs) 4.5 and 8.5. The future projection shows an increase in mean annual temperature from 0.08 to 4.3 °C by CMCC-CMS, from 0.13 to 4.4 °C by HadGEM-AO2, and −0.07 to 4.2 °C MIROC5 models. Similarly, the annual precipitation is projected to fluctuate from 13.3 to 62.5% by CMCC-CMS, from −12.4 to 26.1% by HadGEM-AO2, and from 6.9 to 49% by the MIROC5 model. The 3S River Basin expects an increasing trend in streamflow in the Srepok and Sesan Rivers, while the Sekong is projected to have reduced streamflow. ML models predicted the increasing flood risk in the Sekong and Sesan catchments with the increase of the Q5 index in the future but a decrease in the Srepok.
The Emerging Roles of circRNAs in Papillary Thyroid Carcinoma:
Molecular Mechanisms and Biomarker Potential
Authors: Ye Haihan , Sun Xiaoyang , Ding Qianyun , Yang Enyu , Zhao Shuo , Fan Xiaowei , Fang Meiyu , Ding Xianfeng 
Published: August 2023

Abstract:
Papillary thyroid carcinoma (PTC) is a common endocrine malignant tumor. The incidence
of PTC has increased in the past decades and presents a younger trend. Accumulating evidence
indicates that circular RNAs (circRNAs), featured with non-linear, closed-loop structures,
play pivotal roles in tumorigenesis and regulate cell biological processes, such as proliferation, migration,
and invasion, by acting as microRNA (miRNA) sponges. Additionally, due to their unique
stability, circRNAs hold promising potential as diagnostic biomarkers and effective therapeutic targets
for PTC treatment. In this review, we systematically arrange the expression level of circRNAs,
related clinical characteristics, circRNA-miRNA-mRNA regulatory network, and molecular mechanisms.
Furthermore, related signaling pathways and their potential ability of diagnostic biomarkers
and therapeutic targets are discussed, which might provide a new strategy for PTC diagnosis,
monitoring, and prognosis.
Expression, Prognostic Value, and Immune Infiltration of MTHFD Family
in Bladder Cancer
Authors: Zheng Bai Shu , Wang Shun De , Zhang Jun Yong , Ge Cheng Guo 
Published: August 2023

Background:
The Methylenetetrahydrofolate Dehydrogenase (MTHFD) family plays an
important role in the development and prognosis of a variety of tumors; however, the role of the
MTHFD family in bladder cancer is unclear.

Methods:
R software, cBioPortal, GeneMANIA, and online sites such as String-LinkedOmics were
used for bioinformatics analysis.

Results:
MTHFD1/1L/2 was significantly upregulated in bladder cancer tissues compared with normal
tissues, high expression of the MTHFD family was strongly associated with poorer clinical
grading and staging, and bladder cancer patients with upregulated expression of MTHFD1L/2 had
a significantly worse prognosis. Gene function and PPI network analysis revealed that the MTHFD
family and related genes play synergistic roles in the development of bladder cancer. 800 co-expressed
genes related to the MTHFD family were used for functional enrichment analysis, and the
results showed that many genes were associated with various oncogenic pathways such as cell cycle
and DNA replication. More importantly, the MTHFD family was closely associated with multiple
infiltrating immune lymphocytes, including Treg cells, and immune molecules such as TNFSF9,
CD274, and PDCD1.

Conclusion:
Our study shows that MTHFD family genes may be potential prognostic markers and
therapeutic targets for patients with bladder cancer.