bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into the genetic architecture of Phytophthora capsici root rot resistance in chile pepper (Capsicum spp.) from multi-locus genomewide association study
Authors: Kaur Navdeep , Lozada Dennis N. , Bhatta Madhav , Barchenger Derek W. , Khokhar Ehtisham S. , Nourbakhsh Seyed Shahabeddin , Sanogo Soum 
Published: July 2023

Abstract
Background
Phytophthora root rot, a major constraint in chile pepper production worldwide, is caused by the soil-borne oomycete, Phytophthora capsici. Multi-locus genomewide association study (GWAS) was conducted to detect significant regions in the Capsicum genome linked to Phytophthora root rot resistance using a diversity panel consisting of 157 Capsicum spp. genotypes. Individual plants were inoculated with P. capsici isolates, ‘PWB-185’, ‘PWB-186’, and ‘6347’ separately at the 4–8 leaf stage and were scored for disease symptoms up to 14 days post-inoculation. Disease scores were used to calculate disease parameters including disease severity index percentage, percent of resistant plants, the area under disease progress curve, and estimated marginal means for each genotype.
Results
Most of the genotypes displayed root rot symptoms, whereas five accessions were completely resistant to all the isolates and displayed no symptoms of infection. A total of 55,117 single nucleotide polymorphism (SNP) markers derived from genotyping-by-sequencing (GBS) were used to perform multi-locus GWAS which identified 330 significant SNP markers associated with disease resistance. Of these, 56 SNP markers distributed across all chromosomes were common across the isolates, indicating association with more durable resistance. Candidate genes including nucleotide-binding site leucine-rich repeat (NBS-LRR), systemic acquired resistance (SAR8.2), and receptor-like kinase (RLKs), were identified within 0.5Mb of the associated markers.
Conclusions
These genomic loci can be targeted for improving P. capsici root rot resistance using molecular methods. Results will be used to improve resistance to Phytophthora root rot in chile peppers by the development of Kompetitive allele-specific markers (KASP®) for marker validation, genomewide selection, and marker-assisted breeding.
Harnessing Hazardous Wastes: The Production, Characterization and Performance of Controlled Low Strength Materials using CETP Sludge
Authors: N Skanda Kumar B , C Chandre Gowda , R Chandrashekhar , Ramachandra Suhas , M Sreenatha , A Shashishankar 
Published: July 2023

Abstract

India's remarkable economic growth and technological advancements have resulted in rapid industrialization, accompanied by a considerable increase in waste generation. This necessitates the development of efficient waste disposal methods to mitigate environmental degradation. Among the various waste streams, those generated by thermal power plants and effluent treatment plants contribute significantly to soil and groundwater pollution. Consequently, the proper management of these impertinent disposals is crucial, particularly to reduce pollution resulting from landfill disposal. In this research, the challenge has been addressed by investigating the utilization of hazardous Common Effluent Treatment Plant (CETP) sludge for the development and production of CLSM meaning Controlled Low-strength Materials. By harnessing CETP sludge, we aim to alleviate the environmental impacts associated with its disposal while simultaneously providing an innovative and sustainable solution. To assess the feasibility of CETP sludge derived CLSM, a series of tests were conducted to comprehensively characterize the material. Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD) & X-Ray Fluorescence (XRF) analyses were carried out to examine the morphological characters and microstructural conditions of the materials. Also, Flowability and Unconfined Compressive Strength (UCS) of the developed CLSM were evaluated. The results of the research demonstrate that the developed CLSM samples exhibit excellent flowability, surpassing 200 mm, indicating their favorable handling characteristics. Furthermore, the UCS values ranging from 1.76 MPa to 5.5 MPa suggest their structural integrity and potential suitability for various applications. The findings of this research contribute to the advancement of sustainable waste management practices, offering insights into the repurposing of CETP sludge to produce CLSM. Moreover, the comprehensive characterization and performance evaluation provide valuable guidance for policymakers, environmental scientists, and practitioners seeking effective solutions to mitigate soil and groundwater pollution while promoting sustainable industrial growth.
Engineered regenerative isolated peripheral nerve interface for targeted reinnervation
Authors: Kim Junesun , Kwon Jinju , Eom Seongsu , Kong Jeong Sik , Kim Dong Sung , Cho Dong-Woo 
Published: July 2023

Abstract
A regenerative peripheral nerve interface (RPNI) provides neuroma pain relief through the reinnervation of the native skeletal muscle and represents a promising therapeutic solution for severe nerve injury or amputation. Despite its notable effects, the unsolvable limitation of donor-site morbidity owing to autologous muscle grafts has emphasized the necessity to develop a substantial muscle construct using tissue engineering. However, the current fabrication methods for engineered skeletal muscle constructs have limitations in terms of the mechanical properties of the bioink and surgical manipulation. Therefore, we developed an engineered regenerative isolated peripheral nerve interface (eRIPEN) using three-dimensional skeletal cell printing and direct electrospinning for a nanofiber membrane-envelop with host nerve implantation to facilitate long-term functionality. In our in vivo study, the eRIPEN shows long-term survival, myofiber formation, neuromuscular junction formation, promotion of vascularization, and muscle contractility. More importantly, neuropathic pain was relieved and motor function was restored over 8 months following proper neural regeneration and innervation of the host nerve. These results suggest that the eRIPEN with neural integration can replace the basic RPNI and realize neuroprosthesis control through synaptic connections.
Association of LDL-cholesterol subtractions with cardiovascular disorders: A systematic review
Authors: Chary Abdolreza , Tohidi Maryam , Hedayati Mehdi 
Published: July 2023

Abstract
Background: Cardiovascular disorders (CVDs) are the leading cause of death worldwide. This study aimed to evaluate the association between Low-Density Lipoprotein (LDL) subfractions and cardiovascular disorders.
Methods: For to ensure the rigor of the systematic review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used. For this systematic review, a comprehensive search strategy in important databases including PubMed, Scopus, Embase, International Statistical Institute (ISI) Web of Science and google scholar from 2009 to February 2021 was performed. Also, for the evaluation of the risk of bias, the Newcastle-Ottawa scale was used.
Results: At the end of the search process, 33 articles were included in this study. The results of more of the evaluated studies were shown that the higher LDL particle number was consistently associated with increased risk for cardiovascular disease, independent of other lipid measurements. Also, small dense LDL was associated with an increased risk of CVDs. There wasn’t any association between LDL subfraction with CVDs in a small number of studies.
Conclusions: Overall, it seems that the evaluation of LDL subclasses can be used as a very suitable biomarker for the evaluation and diagnosis of cardiovascular diseases. However, further studies are needed to identify the mechanisms involved.
Nucleocapsid Protein residues 35, 36, and 113 are critical sites in up- regulating the Interleukin-8 Production via C/EBPα pathway by Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus
Authors: Gong Xingyu , Ma Tianyi , Wang Jingjing , Cao Xinran , Zhang Qiaoya , Wang Yanhong , Song Chengchuang , Lai Min , Zhang Chunlei , Fang Xingtang , Chen Xi 
Published: July 2023

Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) is a highly infectious and pathogenic agent that causes considerable economic damage in the swine industry. It regulates the inflammatory response, triggers inflammation-induced tissue damage, suppresses the innate immune response, and leads persistent infection. Interleukin-8 (IL-8), a pro-inflammatory chemokine, plays a crucial role in inflammatory response during numerous bacteria and virus infections. However, the underlying mechanisms of IL-8 regulation during PRRSV infection are not well understood. In this study, we demonstrate that PRRSV-infected porcine alveolar macrophages (PAMs) release higher levels of IL-8. We screened the nucleocapsid protein, non-structural protein (nsp) 9, and nsp11 of PRRSV to enhance IL-8 promoter activity via the C/EBPα pathway. Furthermore, we identified that the amino acids Q35A, S36A, R113A, and I115A of the nucleocapsid protein play a crucial role in the induction of IL-8. Through reverse genetics, we generated two mutant viruses (rQ35-2A and rR113A), which showed lower induction of IL-8 in PAMs during infection. This finding uncovers a previously unrecognized role of the PRRSV nucleocapsid protein in modulating IL-8 production and provides insight into an additional mechanism of immune and inflammation modulation by PRRSV.
Glucose-containing sulfonic acid-catalyzed efficient synthesis of spiro[benzo[g]pyrazolo[3,4-b]quinoline-4,3’-indoline] derivatives
Authors: Yuan Rui , Chi Xiaowei , Zhang Lizhuo , Liu Jinjuan , Wan Yu , Wu Hui 
Published: July 2023

Abstract
β-1-N-methyl-imidazole-2,3,4,6-tetrasulfonic-D-glucopyranosyl bisulfate ([Bmim-G-(SO3H)4]+[HSO4]-, NMI-GSA) was used as the efficient catalyst to promote the three-component reaction of 2-hydroxy-1,4-naphthoquinone, isatins and aminopyrazoles to afford a series of spiro[benzo[g]pyrazolo[3,4-b]quinoline-4,3’-indoline] derivatives (4). Six bonds were cleaved while six new bonds (two C-N bonds and four C-C bonds) were formed to constructed a new dihydropyridine ring and a spiro skeleton in one-pot with water as the only one by-product in this highly atom-economic reaction. Two non-toxic products to normal cells have been screened out because of their special high inhibition rate of on MCF-7 cells (> 90%).
English Language Learning on Cultural Studies of Western United States Scholars Through Online Media
Authors: Shen Zijun 
Published: July 2023

Abstract
The journal investigates the published works in the academic areas with analysis on the generic abstracts on cultural form of linguistic and its influence on learning English language on cultural studies through online media on higher learning students. More particularly, it analyses the cultural settings on the language learning, as well as the linguistic resources applied in the realization of the based move in linguistic abstract studies. The linguistic micro-analysis has established a couple of constituents or rather moves by ways through which the schematic forms of research abstracts are developed. A number of these are obligatory inclusive of the moves pronouncing the current studies or pin pointing the article aims, introducing hypotheses, summarizing results and publishing the study methodology. Consequently, the cultural learning in the form of linguistic and its influence on learning English language through online media has portrayed some moves like five in numbers upon which Das are developed. Three of these are termed as obligatory, viz, the moves of purpose, the research methodology and results and discussions. Ideally, results present the prevalence of the application of mere sentences type, present tense in conjunction with the passive voice un the development of the abstract analysed context. In the context of the findings, some of pedagogical subjects recommended. Cultural studies by online media is one of the factors currently in the classroom that tutors and leaners in English language (EL) in the higher learning institution can apply in practical ways.
Novelty-induced memory consolidation is accompanied by increased Agap3 transcription: a cross-species study
Authors: Højgaard Kristoffer , Szöllősi Bianka , Henningsen Kim , Minami Natsumi , Nakanishi Nobuhiro , Kaadt Erik , Tamura Makoto , Morris Richard , Takeuchi Tomonori , Elfving Betina 
Published: July 2023

Abstract

Novelty-induced memory consolidation is a well-established phenomenon that depends on the activation of a locus coeruleus-hippocampal circuit. It is associated with the expression of activity-dependent genes that may mediate initial or cellular memory consolidation. Several genes have been identified to date, however, to fully understand the mechanisms of memory consolidation, additional candidates must be identified. In this cross-species study, we used a contextual novelty-exploration paradigm to identify changes in gene expression in the dorsal hippocampus of both mice and rats. We found that changes in gene expression following contextual novelty varied between the two species, with 9 genes being upregulated in mice and 3 genes in rats. Comparison across species revealed that ArfGAP with a GTPase domain, an ankyrin repeat and PH domain 3 (Agap3) was the only gene being upregulated in both, suggesting a potentially conserved role forAgap3. AGAP3 is known to regulate α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-type glutamate receptor trafficking in the synapse, which suggests that increased transcription ofAgap3may be involved in maintaining functional plasticity. While we identified several genes affected by contextual novelty exploration, we were unable to fully reverse these changes using SCH 23390, a dopamine D1/D5receptor antagonist. Further research on the role of AGAP3 in novelty-induced memory consolidation could lead to better understanding of this process and guide future research.
Multiplexed volumetric CLEM enabled by antibody derivatives provides new insights into the cytology of the mouse cerebellar cortex
Authors: Lichtman Jeff , Han Xiaomeng , Lu Xiaotang , Li Peter , Wang Shuohong , Schalek Richard , Meirovitch Yaron , Lin Zudi , Adhinarta Jason , Berger Daniel , Wu Yuelong , Fang Tao , Meral Elif , Asraf Shadnan , Ploegh Hidde , Pfister Hanspeter , Wei Donglai , Jain Viren , Trimmer James 
Published: July 2023

Abstract

Mapping neuronal networks that underlie behavior has become a central focus in neuroscience. While serial section electron microscopy (ssEM) can reveal the fine structure of neuronal networks (connectomics), it does not provide the molecular information that helps identify cell types or their functional properties. Volumetric correlated light and electron microscopy (vCLEM) combines ssEM and volumetric fluorescence microscopy to incorporate molecular labeling into ssEM datasets. We developed an approach that uses small fluorescent single-chain variable fragment (scFv) immuno-probes to perform multiplexed detergent-free immuno-labeling and ssEM on the same samples. We generated eight such fluorescent scFvs that targeted useful markers for brain studies (green fluorescent protein, glial fibrillary acidic protein, calbindin, parvalbumin, voltage-gated potassium channel subfamily A member 2, vesicular glutamate transporter 1, postsynaptic density protein 95, and neuropeptide Y). To test the vCLEM approach, six different fluorescent probes were imaged in a sample of the cortex of a cerebellar lobule (Crus 1), using confocal microscopy with spectral unmixing, followed by ssEM imaging of the same sample. The results show excellent ultrastructure with superimposition of the multiple fluorescence channels. Using this approach we could document a poorly described cell type in the cerebellum, two types of mossy fiber terminals, and the subcellular localization of one type of ion channel. Because scFvs can be derived from existing monoclonal antibodies, hundreds of such probes can be generated to enable molecular overlays for connectomic studies.
Studying and improving reasoning in humans and machines
Authors: Palminteri Stefano , Yax Nicolas , Anllo Hernan 
Published: July 2023

Abstract
In the present study, we investigate and compare reasoning in large language models (LLM) and humans using a selection of cognitive psychology tools traditionally dedicated to the study of (bounded) rationality. To do so, we presented to human participants and an array of pretrained LLMs new variants of classical cognitive experiments, and cross-compared their performances. Our results showed that most of the included models presented reasoning errors akin to those frequently ascribed to error-prone, heuristic-based human reasoning. Notwithstanding this superficial similarity, an in-depth comparison between humans and LLMs indicated important differences with human-like reasoning, with models’ limitations disappearing almost entirely in more recent LLMs’ releases. Moreover, we show that while it is possible to devise strategies to induce better performance, humans and machines are not equally-responsive to the same prompting schemes. We conclude by discussing the epistemological implications and challenges of comparing human and machine behavior for both artificial intelligence and cognitive psychology.
Upregulation of BMP1 through ncRNAs correlates with adverse outcomes and immune infiltration of clear cell renal cell carcinoma
Authors: Gong Mancheng , Feng Shengxing , Zhou Dongsheng , Luo Jinquan , Lin Tianxin , Qiu Shaopeng , Yuan Runqiang , Dong Wenjing 
Published: July 2023

Abstract
Background: Renal cell carcinoma (RCC) accounts for approximately 2-3% of all adult malignancies, Clear cell renal cell carcinoma (ccRCC), which comprises 70-80% of all RCC cases, is the most common histological subtype.
Methods: ccRCC transcriptome data and clinical information were downloaded from the TCGA database. We used TCGA and GEPIA database to analyze the relative expression of BMP1 in various types of human cancer. In the meantime, GEPIA was used to perform survival analysis for BMP1 in various cancer types. Upstream binding miRNAs of BMP1 were obtained through several important target gene prediction tools. StarBase was used to predict candidate miRNA that could potentially bind to BMP1 and candidate lncRNAs that could potentially bind to hsa-miR-532-3p. We analyzed the association of the expression of BMP1 and immune cell infiltration level using TIMER website in ccRCC. Then, the relationship of BMP1 expression level and immune checkpoint expression level was also investigated.
Results: BMP1 was upregulated in GBM, HNSC, KIRC, KIRP and STAD, and downregulated in KICH and PRAD. Combined with OS and DFS, BMP1 can be used as a biomarker for poor prognosis in patients with KIRC. Through expression analysis, survival analysis and correlation analysis, LINC00685, SLC16A1-AS1, PVT1, VPS9D1-AS1, SNHG15 and CCDC18-AS1/hsa-miR-532-3p/BMP1 axis was established as the most potential upstream ncRNA-related pathway of BMP1 in ccRCC. Furthermore, we found that BMP1 level was significantly positively correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression.
Conclusion: Our results demonstrated that ncRNAs-mediated high expression of BMP1 associated with poor prognosis and tumor immune infiltration in ccRCC.
Embedding smart technologies in developing countries: digital agrotechnology in the sugarcane ethanol and bioenergy production system
Authors: Cezarino Luciana Oranges , de Oliveira Bruno Garcia , Liboni Lara Bartochi , Stocco Lucas Conde , de Araujo Geraldo Jose Ferraresi 
Published: July 2023

Abstract
As one of the most competitive industries in developing countries, agribusiness is seeking efforts to improve information systems and adopt digital technologies. In Brazil, the sugar energy industry is the country's oldest and most competitive business. The current technological transition is challenging to absorb the 4.0 paradigm in its production system, interconnecting the value chain through IoT, big data, artificial intelligence, and machine learning. Although there are opportunities with digitization, there are also many constraints in the industrial change process. This paper aims to explore the main changes in new technologies and processes towards industry 4.0 in the Brazilian sugarcane production system, identifying challenges and context restrictions. Using qualitative data from interviews with specialists – practitioners, and researchers - our findings show that this industry has many technological opportunities to digitize its production process. The industry’s main challenge is the low qualification for the workforce and difficulty in integrating new solutions into analogical production systems. Big companies invest in technology hubs while, at the same time, the internet is still scarce in rural areas, and small companies compete in less technological and sustainable supply chains. The findings support the decisions of the sugarcane industry in assessing the relevance of investing in Industry 4.0 projects. It demonstrates how digital transformation impacts process improvements, facilitating decision-making by using information networks interconnected to machine learning and automation.
Patching based Deep Learning approach for Retinal blood vessels segmentation
Authors: Garg Udit , Verma Prem Kumari , Singh Nagendra Pratap 
Published: July 2023

Abstract
Human Eyes are one of the important organs of the humanbody.They are also very prone to diseases such as cataracts, AgeRelated Macular Degeneration, Diabetic Retinopathy, Glaucoma, etc.Therefore, it becomes important to develop methods that can helpin the diagnosis and treatment of these diseases before it is toolate. In this paper, a time-efficient and accurate deep learningbased bio-medical image segmentation approach is presented whichcan lay the foundation for further development in this area.The u-net deep learning model used in the proposed approach, was specially developed to deal with medical images. The proposed approachhas been split into three notable phases: data pre-processing, training U-net deep learning model, and data post-processing. The U-netmodel is fed this data and trained until satisfactory results. Duringpost-processing, corresponding predicted images are merged to obtain toprediction for the original images. The final step includes the removalof padding so that the original dimensions of images are maintained After a long period of experimentation, quantitative performance metrics have been respectively calculated as 0.963, 0.992,0.910 for the DRIVE data set and 0.958,0.993,0.888 for theSTARE data set respectively. Values of Loss have been 0.106,and 0.106 for the DRIVE and STARE data sets respectively.