bluuebunny/crossref_metadata_2025_split huggingface dataset:
DEVELOPMENT OF GIS-BASED LEARNING MULTIMEDIA TO IMPROVE SPATIAL THINKING ABILITY OF SOCIAL STUDENTS IN HIGH SCHOOL
Authors: Azzahra Rahma , Muryani Chatarina , Tjahjono Gentur Adi 
Published: August 2023

<p>Distance learning that occurred during the Covid-19 period caused problems. Learning geography, which should provide a good quality of spatial thinking, finally gets a problem. Multimedia learning is a representation tool needed in online learning. These conditions improve students' spatial thinking skills by applying Geographic Information Systems (GIS). The development of the learning multimedia uses a 4-D (Four-D) product development model consisting of the phases: define, design, development, and dissemination. Assessment parameter evaluation improves students' spatial thinking skills, considering comparing values between the experimental and control classes using the Independent Sample T-test = 0.05. The results of this study are that GIS-based learning multimedia is feasible to use with the validity test and trial being a score of 4 or is effectively used to improve students' spatial thinking skills with the result = 5,850 &gt; T-table (2,035).</p><p><strong> </strong></p>
Development Of Halal Value Chain As A Manifestation For Economy Recovery In Post Covid-19
Authors: Sari Suniyyah Puspita , Regita Cahyani Muis Afni , Amatillah Maswati , Thyra Janitra Nabila 
Published: August 2023

The Covid-19 phenomenon that significantly affects the economic sector has forced all countries in the world to rise up and make recovery efforts. One of the efforts that is currently attracting attention is strengthening the halal industrial sector, which during the Covid-19 pandemic has been recognized for its success in maintaining economic stability. Halal Value Chain is a strategy used by the halal industry in an effort to recover the economy, the significance of the application of halal value chain in economic activities can give birth to a business model that can be an example for the halal industry and become a competitive advantage. This study aims to provide a comprehensive presentation on the dynamics of halal industry acceleration and halal value chain principles in the recovery of the economic sector after the Covid-19 pandemic. This research uses qualitative methods using a literature review approach from several studies. Based on research that has been carried out, it was found that the solutions offered by the halal industry through the halal value chain have proven to be one of the success factors in economic recovery after the Covid-19 pandemic, halal value chain is not just a concept that has been universally applied but is a need for the world community, because the application of the halal value chain ecosystem in the industrial sector is not only profit-oriented, however, the use of halal products and services aims to provide comfort, safety and certainty for the community.
Keyword: Halal Value Chain, Halal Industry, Economy Recovery.
Optimization of Wireless Power Transfer Based on Improved Marine Predators Algorithm
Authors: Chen Xiaokai , Chen Feng , Liang Ruyu , Bai Yingchun 
Published: August 2023

Abstract
Wireless Power Transfer (WPT) has a promising application with the rapid development of electric vehicles (EV). However, the optimization of WPT is still a challenging problem due to its large number of sub-systems. The magnetic coupling mechanism (MCM) is the key energy transmission component for WPT. In order to improve the overall performance of the WPT, an improved Marine Predators Algorithm is proposed and applied to optimize the MCM. In this paper, the detailed analysis model of the MCM using Double D coils is established, and the evaluation indexes of the WPT system are deduced. The improved Marine Predators Algorithm (TQMPA) is proposed based on the Tent map and Quasi-oppositional solutions evaluation. Verified by 20 standard test functions, the TQMPA has significantly improved the ability to escape from the local optimal solution and the convergence speed, especially for the low-dimensional unimodal problem. Then, a multidisciplinary design optimization model of a real-world MCM optimization problem based on collaborative optimization is established, which takes the transmission capability, electromagnetic safety, and miniaturization as sub-systems, respectively. The simulation results further prove that the TQMPA has a stronger optimization ability than the Marine Predators Algorithm (MPA). Under the premise of ensuring electromagnetic safety and a certain anti-offset capability, the power density of MCM is slightly reduced, and the transfer efficiency index and ferrite size have been significantly improved.
Nerve growth factor monoclonal antibody Tanezumab alleviates Kashin-Beck Disease Rat pain by impacting DRG signal transduction
Authors: Haifan Wang , Yigeng Hui , Weiming Yang , Qinfeng Zhang , Sen Luo , Xu Gao , Weizhuo Wang 
Published: August 2023

Abstract
Objective
This study aimed to determine NGF monoclonal antibody’s effectiveness for KBD.
Method
After the establishment of KBD models in SD rats, the rats were injected with the NGF monoclonal antibody Tanezumab(Tnz) at doses of 2.5 and 5.0 mg/kg every week subcutaneously for 4 weeks. Paw withdraw mechanical threshold(PWT) was measured with Von Frey hairs, and Thermal paw withdraw latency(PWL) was valued by radiant heat. Serum TNF-α and IL-1β were also tested by ELISA during the whole process. After 4 weeks of treatment, rats were sacrificed to gather the dorsal root ganglion, in which protein levels of NGF/Trka signaling were detected by immunofluorescence and western blotting.
Result
The KBD model was established successfully, during which the PWT and PWL of KBD inducing rats decreased gradually, and TNF-α and IL-1β increased significantly. After 4 weeks of Tnz treatment, both the PWL and PWT of KBD rats significantly increased, and TNF-α and IL-1β also decreased, on which 5.0mg/kg of TNZ was better than 2.5mg/kg. Western blotting told that Tnz could reduce the level of the Trka pathway in DRG of KBD rats, and 5.0mg/kg TNZ could induce further reduction than 2.5mg/kg. Immunofluorescence showed that the levels of BDNF and CGRP in the DRG of KBD rats increased, and 5.0mg/kg of Tnz could significantly rescue them.
Conclusion
Tnz can alleviate the pain of KBD rats by inhibiting activated Trka levels, and 5.0mg/kg is more effective than 2.5mg/kg. TNZ is a potential analgesic for KBD, but clinical trials are essential before clinic application.
Levels of polycyclic aromatic hydrocarbons from mainstream cigarettes smoke and vaping E-cigarettes product brands marketed in Saudi Arabia and its risk assessment
Authors: Alshutairi Adel M. , Alzahrani Ahmed H. , Almontshry Abdulaziz M. 
Published: August 2023

Abstract

Background
PAHs are a class of chemicals that occur naturally, and these contaminants may cause cancer and other harmful effects in human beings. The mainstream cigarettes smoke and vaping E-cigarettes contain many PAHs.
Method
In terms of linearity, limit of detection, limit of quantification, accuracy (%), and precision (%), the two in-house lab setups for 7PAHs extraction from mainstream cigarettes smoke and vaping E-cigarette were validated using high-performance liquid chromatography-fluorescence detection.
Results
The concentration of Σ7PAHs for mainstream cigarettes smoke and vaping E-cigarettes ranged from 6.23 ± 0.04 ng/cig to 75.61 ± 0.02 ng/cig, and ND to 3.56 ± 2.71 ng/puff. The PAHs recovery in mainstream cigarettes smoke and vaping E-cigarettes ranged from 92.74-110.45%, and 97.20-111.74%. The toxicity of equivalent (TEQs) of carcinogens revealed that mainstream cigarettes smoke brands have higher TEQs than vaping E-cigarettes.
Conclusion
This study highlights the detection of 7PAHs levels in product brands for mainstream cigarettes smoke and vaping E-cigarettes marketed in Saudi Arabia.
Influence of Hydroxypropylmethylcellulose (HPMC) on Thermal and Mechanical Performance of Cementitious Rendering Mortars
Authors: Batista Isla Licely Rodrigues , Cabral Kleber Cavalcanti , de Souza Wendell Rossine Medeiros , Martinelli Antonio Eduardo , Fontes Adna Érica Melo de Souza 
Published: August 2023

Abstract
The application of insulating materials in the construction industry is an intelligent strategy that promotes energy efficiency by reducing energy consumption through enhanced thermal retention in indoor spaces, resulting in improved comfort and resource savings. The focus on enhancing thermal performance has led to the utilization of techniques involving cementitious materials and additives to impart insulation properties. In this study, we investigate the influence of Hydroxypropyl Methyl Cellulose (HPMC) on the thermal and mechanical properties of rendering mortars. Four different concentrations of HPMC (0.015%, 0.030%, 0.045%, and 0.060%) were analyzed and compared with a reference mixture. Various tests were conducted to determine the fresh and hardened state properties of the mortars, including consistency index, bulk density, water loss through evaporation, compressive strength, flexural tensile strength, adhesive flexural strength, water absorption by immersion, and modulus of elasticity. The thermal performance was evaluated using a prototype that simulated heat incidence on a cementitious panel. The results indicate that the incorporation of HPMC allows for the production of lighter materials with a weight reduction of 11.76% due to the high porosity induced by the additive. This high void content contributes to thermal insulation by reducing the material's conductivity by up to 30% while maintaining a fixed heat flux of approximately 49 W when subjected to the same heat flux. The resistance to heat transfer through the panel varies with the addition of HPMC, with the highest incorporation of the additive resulting in a 32.6% increase in thermal resistance compared to the reference mixture. These findings highlight the potential of HPMC as an effective additive for improving the thermal and mechanical performance of rendering mortars, thereby contributing to enhanced energy efficiency in building construction. The results have implications for the development of sustainable building materials that optimize thermal insulation and reduce energy consumption, thereby promoting environmentally friendly practices in the construction industry.
Evolutionary formation of a human de novo open reading frame from a mouse non-coding DNA sequence via biased random mutations
Authors: Delihas Nicholas 
Published: August 2023

Abstract
Two open reading frames (ORFs) of evolutionary interest stem from the human gene SMIM45. An investigation shows that one consists of an ultra-conserved 68 amino acid (aa) sequence that dates back to the amphibians, ~350 MYA. In contrast, the other, an 107 aa ORF develops slowly during primate evolution. An early embryonic stage of development has been detected in the mouse genome that consists of a small sequence homologous to a segment of the human 107 aa ORF, the oligopeptide SGLE-VTVYGGGVQKGKT. This sequence appears to be the first recognizable segment of the ORF to appear evolutionarily. As the partial sequence is already present in the mouse, the evolutionary root of the human 107 aa is likely to be in a close ancestor of the mouse. The analysis presented shows that development of the 107 aa ORF proceeds via the biased selection of base pairs that are fixed during primate evolution. Random mutations also occur during development; proposed is the correction by purifying selection. The delineation of mutations occurring during development of the 107 aa ORF can provide a model for the evolutionary formation of protein genes.
Presence of microplastic in personal care and cosmetic products from markets in Punjab, Pakistan
Authors: Hussain Sajjad , Sial Nuzhat , Nawaz Zarqa , Naeem Muhammad , Habib Rana Zeeshan , Thiemann Thies 
Published: August 2023

Abstract
In order to assess microplastic content in personal care products in Pakistan, 103 body scrubs and face washes were randomly selected in August-October 2021 from different markets in Jhang, Multan, and Bahawalpur in Punjab, Pakistan. It was found that 47 (45.6%) products incorporated plastic microbeads, including 44 (42.7%) products that exhibited polythene microbeads. Overall, a higher proportion of imported products exhibited plastic microbead content than locally manufactured products.
Development of a novel lipid metabolism-related model predicting the prognosis of gastric cancer and exploration the role of NPR3 in gastric cancer metastasis
Authors: Wang Xuan , Zhou Quan , Li Hongzhen , Wang Pin , Guo Huiming , Zhang Wei , Zou Xiaoping 
Published: August 2023

Abstract
Aim
To establish a novel lipid metabolism-related (LMR) prognostic model for gastric cancer (GC) and explore the potential mechanism of natriuretic peptide receptor-3 (NPR3) in the process of GC metastasis.
Method
LMR genes were identified from the Gene Set Enrichment Analysis (GSEA) and mRNA expression profile were download from The Cancer Genome Atlas (TCGA) database. We used the R package “limma” to obtain the LMR differentially expressed genes (DEGs) between GC and adjacent tissues. Consensus clustering was then performed based on the expression of LMR DEGs using the R package “ConsensusClusterPlus”. We adopted the weighted correlation network analysis (WGCNA) to obtain the best module related to metabolic subtypes. A prognostic model based on 6 LMR genes (FBLN7, NPY1R, VTN, NPR3, EPHB3 and AUH) was established through least absolute shrinkage and selection operator (LASSO) penalized Cox regression analysis based on progression-free interval (PFI). In addition, we verified the NPR3 expression in several GC cell lines by quantitative Real-time PCR and Western Blotting, and explored the effect of NPR3 on GC cell migration using the wound healing assay and transwell test. We performed immunohistochemistry (IHC), H&E and collagen staining on 42 GC tissues to clarify the clinical significance of NPR3 in gastric cancer.
Results
2 LMR subtypes (C1 and C2) were confirmed using consensus clustering of 153 LMR-DEGs. Compared with C1, C2 was associated with a worse prognosis, especially in terms of PFI (HR: 1.64, 95%CI: 1.15–2.33, P < 0.001). Using WGCNA and univariate cox regression, 558 genes were screened out to build and optimize the model. Finally, a novel predictive formula system based on 6 genes (FBLN7, NPY1R, VTN, NPR3, EPHB3 and AUH) were constructed and the time-dependent area under the receiver operating characteristic curve (time-ROC, 1/3/5 years) was 0.79/0.77/0.71 and 0.73/0.68/0.64 in the training set (N = 214) and validation set (N = 141), respectively. In addition, we found that NPR3 over-expression could promote the migration of GC cells. And its expression was higher in tumor tissues than in paracancerous tissues and patients with high expression of NPR3 were more likely have the vascular invasion (OR: 5.056, 95%CI: 1.159–22.060, p = 0.031) and higher stage (OR: 5.100, 95%CI: 1.336–19.470, p = 0.017).
Conclusion
We established a novel LMR prognostic model predicting the prognosis of gastric cancer, and found that NPR3 can promote the tumor migration and vascular invasion of gastric cancer.
The colonization of endophytic Bacillus velezensis BHZ-29 in cotton enhances defence enzyme activities against cotton Verticillium wilt
Authors: shi yingwu , Yang HongMei , Chu Min , Niu XinXiang , Wang Ning , Lin Qing , Bao HuiFang , Zhan FaQiang , Yang Rong , Long XuanQi , Lou Kai 
Published: August 2023

Abstract
In order to clarify the colonization characteristics and induced disease resistance of endophytic bacteria against Verticillium dahliae, the colonization ability in cotton and the defence enzyme activities of cotton were determined by using the antibiotic labeling method and the greenhouse pot culture method, respectively. The results showed that there was no significant difference in morphological characteristics, antagonistic ability and disease prevention effect between RIF-resistant strains and original strains. The colonization experiment showed that BHZ-29 could be effectively colonized in the roots, stems and leaves of the three varieties of cotton, and the colonization ability was ranked as root > stem > leaf. The colonization dynamics of B. velezensis BHZ-29 in different resistant varieties of cotton showed that the maximum colonization amount of root was 9.13 × 105 CFU/g for Xinluzao 61T, 1.82 × 105 CFU/g for 9T, and 1.30 × 105 CFU/g for Xinluzao 36S. The activities of defense enzymes among three varieties of cotton showed an initial increasing trend after which it decreased, ranked in the following order: BHZ-29 + VD > BHZ-29 > CK > VD. The highest Vc content of Xinluzao 36S inoculated with BHZ-29 + VD was 2281.12 µg/g ·FW, Xinluzao 61T inoculated with BHZ-29 was 2278.30 µg/g·FW, 9T inoculated with BHZ-29 + VD was 2268.43 µg/g FW. The order of MDA content in the three varieties was VD > CK > BHZ-29 > BHZ-29 + VD.
Practices Improvement of Building Information Modeling in the Egyptian Construction Projects
Authors: Nabil Yasmin , Ibrahim Ahmed H. , Hosny Suad 
Published: August 2023

Abstract

Reduced Reinforced Concrete Material Waste (RRCMW) in building projects is regarded as a critical issue that must be managed. The main purpose of the research is to illustrate the importance of BIM in construction. Two questionnaires survey are conducted. The first questionnaire is to measure the improvement of using BIM during the last 7 years and it is discovered that there is a massive improvement in using BIM in this period. The second questionnaire is to determine the adopting value of BIM in Egyptian projects. Based on the questionnaire analysis, it is discovered that about 94% of consultants actually practicing BIM in 3D while about 72% of contractors agree with practicing BIM in 3D. Also it is found that about 86% and 78% of consultants actually practicing BIM in 4D and 5D while only about 43% and 40% of contractors agree with practicing BIM 4D and 5D model respectively. Only about 61% and 58% considered that BIM is important in 6D and 7D respectively because it isn’t widely used in Egypt and engineers use BIM up to 5D. As a result, the findings reveal that the number of consultant’s site engineer’s respondents are more than contractors because the usage of BIM is effective in the field of design and consultancy more than using in site and while BIM isn't extensively utilized in Egypt, engineers should be familiar with it because it will be a useful tool in the future.
Automated Hippocampus Segmentation and Volume Estimation Using a Transformer-based Deep Learning Architecture
Authors: Aghili Maryamossadat , Shojae Mehdi , Cabrerizo Mercedes , Rishe Naphtali , Curiel Rosie Cid , Vaillancourt David , DeKosky Steven , Loewenstein David , Duara Ranjan , Adjouadi Malek 
Published: August 2023

Abstract

Hippocampus segmentation in brain MRI is a critical task for diagnosis, prognosis, and treatment planning of several neurological disorders. However, automated hippocampus segmentation methods have some limitations. More precisely, hippocampus is hard to visualize through MRI due to the low contrast of the surrounding tissue, also it is a relatively small region with highly variable shape. In this study, we propose a two-stage architecture to first locate the hippocampus and then segment it. We combine a transformer design with CNN based architecture and a customized loss function to segment the hippocampus via an end-to-end pipeline. In the encoding path, the image is passed through a CNN model to generate a feature map. This feature map is then divided into small patches which are passed to a transformer for extracting global contexts. The encoder used here is identical to that of the Vision Transformer image classification model. In the decoding path, the transformer outputs are combined with their corresponding feature maps to enable a precise segmentation of the hippocampus. The proposed architecture was trained and tested on a dataset containing 195 brain MRI from the Decathlon Challenge. The proposed network achieved a Dice value of 0.90±0.200, and 89% mean Jaccard value in this segmentation task. The mean volume difference between generated mask and ground truth is 5% with a standard deviation of 3%. Deploying the proposed method over our in-house data, consisting of 326 MRIs, showed a mean volume difference of 4.4 % with a standard deviation of 3.24%.
Quantifying how biodiversity affects ecosystem functioning across space and time in natural marine ecosystems
Authors: Hagan James , Gamfeldt Lars , Schrofner-Brunner Benedikt 
Published: August 2023

Abstract
It is well understood that biodiversity is often important for ecosystem functioning but most of the empirical work has taken place on small spatial and temporal scales. Therefore, we need to improve our understanding at larger spatial and temporal scales if we want biodiversity-ecosystem functioning science to be relevant for policy and management. We built a methodological pipeline around a rigorously derived statistical partition that allowed us to distinguish the various ways in which biodiversity can affect functioning in two natural marine ecosystems (intertidal rockpool macroalgae and marine fouling communities). This partitioning considers both local species interactions and species' asynchronous responses to varying environments over space and time. We found evidence that a combination of local-scale species interactions, local-scale dominance by high functioning species and spatial niche partitioning contributed to a positive effect of biodiversity on ecosystem functioning in these ecosystems. Moreover, the effect of spatial niche partitioning tended to strengthen with increasing spatial environmental heterogeneity. Our approach allowed us to directly quantify the complex ways in which biodiversity can affect ecosystem functioning and highlights the importance of taking a multi-scale perspective in biodiversity-ecosystem functioning research.