bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing and Predicting Dynamic Fluctuations of Physiological State in Healthcare Workers
Authors: Zhao Huihan , Wang Fubo , He Yu , Zhang Huiyong , Li Qiuxia , Feng Qiming , Huang Zhaoquan
Published: April 2024

Background
Healthcare workers face continuous exposure to various physiological and psychological stressors, which can lead to dynamic changes in their physiological environment and potentially culminate in debilitating disease. This study was conducted to analyze the dynamic changes in physiological measures of health examination and anticipate health status and disease risk in healthcare workers.
Methods
A retrospective study extracting health examination data from healthcare workers from 2018 to 2022 was carried out. Principal component analysis (PCA) was employed for unsupervised dimensionality reduction to identify the combinations of measures to best capture the variation in the population. The average path length on the two-dimensional graph of the subjects with 3 ~ 5 health examination records was calculated and analyzed. Based on machine learning, we also developed predictive models to anticipate healthcare workers' dynamic changes in physiological measures.
Results
The results showed that 4.65% of healthcare workers exhibited unusually high average path length and were identified as outliers in abnormal fluctuation in physiological measures. Additionally, we identified statistically significant differences in the average path length between different genders, departments, and ages. Notably, the average path length was significantly correlated with hemoglobin, platelet count, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, platelet crit, creatinine, uric acid, and low-density lipoprotein cholesterol. We also developed random forest, support vector machine, and K-nearest neighbors regressions, which showed strong predictive performance for the average path length.
Conclusions
This study provides novel insight into the assessment of subtle changes in physiological measures and anticipatory analytics of the healthcare workers’ health status. This will provide an important reference value for healthcare workers’ health prediction, promotion, and management.
OpenMP offload at the Exascale using Intel® GPU Max 1550: evaluation of STREAmS compressible solver
Authors: Salvadore Francesco , Rossi Giacomo , Sathyanarayana Srikanth , Bernardini Matteo
Published: April 2024

Nearly 20 years after the birth of general purpose GPU computing, the HPC landscape is now dominated by GPUs. After years of undisputed dominance by NVIDIA, new players have entered the arena in a convincing manner, namely AMD and more recently Intel, whose devices currently power the first two clusters in the Top500 ranking. Unfortunately, code porting is still a major problem, even more so with the presence of different vendors, but at the same time the emergence of simplified standard paradigms suggests an encouraging prospect for developers.
In this work, we analyze the porting and performance of STREAmS, a community code for compressible fluid dynamics, on Intel® Data Center GPU Max 1550 (formerly called Ponte Vecchio or PVC) based architectures. First, we discuss the porting, based on the offload functionality of the OpenMP 5.x paradigm, and in particular using a hybrid directives/APIs approach that fits smoothly into the multi-backend software ecosystem of STREAmS-2. Second, we analyze the performance of the code on two benchmark clusters powered by PVC, including the exascale Aurora cluster. The performance is evaluated at the different levels 1 of parallelism involved, i.e., the intrinsic parallelism of the PVC tile, the inter-tile parallelism within the GPU configuration, between the GPUs within the node, and between the nodes within the cluster. The analysis shows that although the implementation complexity of the OpenMP porting is limited, it is necessary to follow some important guidelines to achieve satisfactory performance. The PVC GPU shows about 40% higher performance than the NVIDIA A100 or AMD MI250X GPUs, which however were released about 3 years earlier. Both intra-node and inter-node scalability show good results. Overall, the introduction of PVC into the GPU computing HPC landscape represents a positive step forward for diversification and competitiveness in the sector.
Enhanced Diagnostic Efficiency of a Novel Fecal Methylated Gene Model for Early Colorectal Cancer Detection
Authors: Yun Peng , Kulaixijiang Kamila , Pan Jiang , Yang Luping , Wang Nengzhuang , Xu Zheng , Zhang Yaodong , Cai Haifang , Zhao Zi-Ye , Zhu Min , Yan Hongli
Published: April 2024

Background and Aims
Methylation of stool DNA (sDNA) is a reliable noninvasive early diagnostic marker for colorectal cancer (CRC). Our study aimed to identify a new gene panel for the early diagnosis of CRC.
Methods
We conducted methyl-CpG binding domain isolated genome sequencing (MiGS) on 3 CpG island methylation phenotype (CIMP)-positive and 3 CIMP-negative CRC tissues and their corresponding normal adjacent tissues. Subsequently, by utilizing both the aforementioned data and public datasets, we identified a set of promising methylated sDNA markers for CRC. Finally, we developed a combined diagnostic model (CDM) for CRC based on the methylation status of PRDM12, FOXE1, and SDC2 and evaluated its performance in an independent multicenter validation cohort.
Results
A total of 1,062 participants were included in this study. The area under the curve (AUC) of the CDM was 0.979 (95% CI: 0.960–0.997), and the optimal sensitivity and specificity were 97.35% and 99.05%, respectively, in the training cohort (n = 231). In the independent validation cohort (n = 800), the AUC was 0.950 (95% CI: 0.927–0.973), along with the optimal sensitivity of 92.75% and specificity of 97.21%. When CRC and advanced adenoma (AAD) were used as diagnostic targets, the model AUC was 0.945 (95% CI: 0.922–0.969), with an optimal sensitivity of 91.89% and a specificity of 95.21%. The model sensitivity for nonadvanced adenoma patients was 68.66%.
Conclusion
The sDNA diagnostic model CDM, developed from both CIMP-P and CIMP-N, exhibited exceptional performance in CRC and could serve as a potential alternative strategy for CRC screening.
Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining whole slide images and deep learning
Authors: Wang Qiushi , Deng Xixiang , Ma Qiang , Zhao Lianhua , Feng Yangyang , Wang Yiying , Zhao Yuan , Chen Yan , Zhong Peng , He Peng , Ma Mingrui , Feng Peng , Xiao Hualiang
Published: April 2024

Background
Detecting programmed death ligand 1 (PD-L1) expression based on immunohistochemical (IHC) staining is an important guide for the treatment of lung cancer with immune checkpoint inhibitors. However, this method has problems such as high staining costs, tumor heterogeneity, and subjective differences among pathologists. Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&E) stained lung squamous cell carcinoma is of great significance.
Methods
We constructed a dataset comprising H&E-stained digital sections of lung squamous cell carcinoma and used a Transformer Unet (TransUnet) deep learning network with an encoder-decoder design to segment PD-L1 negative and positive regions and quantitatively predict the tumor cell positive score (TPS).
Results
The results showed that the dice similarity coefficient (DSC) and intersection overunion(IoU) of deep learning for PD-L1 expression segmentation of H&E-stained digital slides of lung squamous cell carcinoma were 80% and 72%, respectively, which were better than the other seven cutting-edge segmentation models. The root mean square error (RMSE) of quantitative prediction TPS was 26.8, and the intra-group correlation coefficients with the gold standard was 0.92 (95% CI: 0.90–0.93), which was better than the consistency between the results of five pathologists and the gold standard.
Conclusion
The deep learning model is capable of segmenting and quantitatively predicting PD-L1 expression in H&E-stained digital sections of lung squamous cell carcinoma, which has significant implications for the application and guidance of immune checkpoint inhibitor treatments.
Trial registration:
ChiCTR1900022640(2019-04-19).
A Systematic Literature Review on Mammography: Deep Learning in Redefining Breast Cancer Diagnosis for the Asian Perspective
Authors: Amin Ashwini , Acharya Dinesh , C Siddalingaswamy P , K Prakashini , Mathew Stanley
Published: April 2024

Breast cancer (BC) is a leading cause of mortality in women worldwide, and its incidence and prognosis vary greatly, especially in low-income areas such as Asia and Africa, compared to America and Europe. This review examines the critical role of computer-aided diagnostic systems utilizing Deep Learning (DL) techniques in improving the precision of BC detection, which can help researchers and practitioners better understand the obstacles and emerging trends in the field. The comprehensive analysis and synthesis of the published articles is provided by the Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA). Following several searches, 287 articles were found eligible for the assessment followed by data extraction and synthesis. This work provides insight into the pathology of BC and its corresponding mammographic appearance, a comprehensive analysis of publication trends, important contributors, and emerging themes using bibliometric techniques in addition to a thorough review of research articles. Focus maps were also created to identify and shed light on the body of knowledge. In contrast to other research, this review sheds light on the subtle identification of breast density, mass, and calcification from mammography images by emphasizing the critical evaluation of image pre- processing, augmentation, detection, segmentation, and classification techniques used from 2018 to 2023, further highlighting articles related to the Asian dataset. Furthermore, the review examines contributions made by authors, countries, and experimental datasets, providing insights into various approaches.
Prospero registration: CRD42022478896
Optimizing Photocatalytic Efficiency and Durability of Zeolite-Based Catalysts via Cation Doping for Effective Dye Contaminant Removal
Authors: Moosavifar Maryam , Akbari Sara , Nejat-Dehkordi Maryam
Published: April 2024

Decoration of Ce and Fe in the dealuminated Y zeolite (DAZY) framework occurred using the isomorphous substitution method in two steps post-synthesis. At first, Y zeolite was dealuminated by EDTA treatment, creating vacant T sites and silanol groups followed by an exchange of Ce and Fe impregnation of the resultant DAZY zeolite with cerium (IV) sulfate and ferric nitrate in one step due to their solubility of related salts to the formation of Si-O-Ce and Si-O-Fe bonds. For this purpose, we have selected three distinct ratios of metals/zeolite, which are 1:3, 1:10, and 1:20. An important outcome was achieved with a 1:20 ratio of metals to zeolite, providing strong evidence for the superiority of this configuration. The catalyst was characterized using spectroscopic techniques. The photocatalytic activity was investigated in the degradation of para-nitrophenol. To optimize the process, we conducted the effect of various parameters, including reaction time, catalyst amount, temperature, pH, isoelectric point, and 4-NP concentration on the photodegradation process. The optimal conditions for the removal of 4-nitrophenol were obtained in the presence of DAZY decorated with Fe and Ce under ultraviolet radiation, 40 µL of hydrogen peroxide, 0.03 g of photocatalyst, and a concentration of 5×10-4 M 4-nitrophenol during 90 minutes. Studying Hinshelwood's equations showed that the reaction rate was pseudo-first order. Meanwhile, the reaction rate increases with the increase of the initial concentration. The catalyst can be reused up to five times while maintaining its catalytic activity. COD experiments proved the mineralization of dye contamination.
Nutritional profile and infection-related hospital admissions in children with chronic kidney disease
Authors: Madhileti Sravani , Selvam Sumithra , Iyengar Arpana
Published: April 2024

Protein energy wasting (PEW) and undernutrition are highly prevalent in children with chronic kidney disease (CKD), but their impact on clinical outcomes is not well-described. This prospective longitudinal study in children with CKD assessed the association of nutritional parameters with infection-related hospital admissions (IRHA).
Methods: Children with CKD2-5D aged 2-18years, infection-free for 1 month were recruited over 5 years. Evaluation for undernutrition by subjective global nutritional assessment and for PEW using pediatric criteria were undertaken and categorised as mild (>2criteria), standard (>3criteria) and modified PEW (>3criteria with short stature). The IRHA (severe viral, bacterial or fungal infections) were recorded.
Results: Among 137 children (45 on dialysis; age 123±46 months; 70% males) undernutrition was seen in 60% and PEW in 52%. Over 38±21 months follow-up, 107(78%) required hospital admissions (67% IRHA). The incidence rate of IRHA in days per patient-year was higher in those with undernutrition compared to well-nourished children [1.74(1.27,2.31) vs 0.65(0.44,0.92) p<0.0001] and higher in those with PEW compared to no PEW [1.74(1.30,2.28) vs 0.56(0.36,0.82) p<0.0001] respectively. On adjusted analysis, independent risk factors for IRHA were undernutrition, low BMI, hypoalbuminemia and dialysis status with modified PEW [OR5.34(2.16,13.1) p<0.001] and raised CRP [OR4.66(1.56,13.9) p=0.006] having the highest risk. Additionally, modified PEW and BMI were noted to have a 2-fold risk for recurrent infections.
Conclusion: In children with CKD2-5D, incidence rate of IRHA was significantly high in those with undernutrition and PEW. While dialysis, poor nutritional status, inflammation were risk factors for IRHA, modified PEW and BMI were associated with recurrent infections.
Exploring Potential Drug Targets for Pancreatic Cancer Based on Mendelian Randomization
Authors: Yao Peishan , huang junming , dang yi , Wang Ya
Published: April 2024

Objective
Genome-wide association studies (GWAS) provide a rich resource for identifying risk factors and biomarkers associated with cancer susceptibility. This study aims to use Mendelian randomization (MR) analyses within the proteome and transcriptome to explore potential protein markers and therapeutic targets for pancreatic cancer.
Methods
Exposure data were derived from expression quantitative trait loci (eQTL) data from GTEx V8 and the eQTLGen Consortium, covering 838 and 31,684 participants, as well as protein quantitative trait loci (pQTL) data for 3,703 proteins with a sample size of 27,698 participants. The pancreatic cancer GWAS dataset was obtained from the FinnGen Consortium, including 1,626 pancreatic cancer patients and 314,193 controls. The inverse variance weighted(IVW) and Wald ratio were the main analytical methods to assess the causal relationship between the proteome/transcriptome and pancreatic cancer. Cochran's Q test and MR-Egger intercept were used to evaluate heterogeneity and pleiotropy. Gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction networks revealed functional characteristics and biological relevance.
Results
A total of 16,059 mRNAs and 1,608 proteins were included in the study. MR analysis using pQTL and eQTL data showed that 88 proteins and 811 mRNAs were causally related to pancreatic cancer based on the IVW and Wald ratio methods. Among these 88 proteins and 811 mRNAs, eight genes overlapped, including HAGH, FGF2, DTD2, IDUA, and CD248, demonstrating consistent causal effects with pancreatic cancer at both the protein and mRNA levels. However, IRF3, PILRA, and AMY2B showed inconsistent effects on pancreatic cancer at the protein and mRNA levels. GO analysis highlighted processes related to cellular transport, and KEGG pathway analysis suggested involvement in metabolic pathways and signaling pathways.
Conclusion
This study identified key proteins and mRNAs associated with pancreatic cancer, enhancing our understanding of the disease's molecular mechanisms and providing insights for future research and therapeutic development.
Structure-based chemical ontology improves chemometric prediction of antibacterial essential oils
Authors: Yabuuchi Hiroaki , Fujiwara Makiko , Shigemoto Akihiko , Hayashi Kazuhito , Nomura Yuhei , Nakashima Mayumi , Ogusu Takeshi , Mori Megumi , Tokumoto Shin-ichi , Miyai Kazuyuki
Published: April 2024

Plants are valuable resources for drug discovery as they produce diverse bioactive compounds. However, the chemical diversity makes it difficult to predict the biological activity of plant extracts via conventional chemometric methods. In this research, we propose a new computational model that integrates chemical composition data with structure-based chemical ontology. For a model validation, a training dataset was prepared from literature on antibacterial essential oils to classify active/inactive oils. A random forest classifier constructed from the data showed improved prediction performance in a test dataset. Prior feature selection using hierarchical information criterion further improved the performance. Furthermore, an antibacterial assay using a standard strain of Staphylococcus aureus revealed that the classifier correctly predicted the activity of commercially available oils with an accuracy of 83% (= 10/12). The results of this study indicate that machine learning of chemical composition data integrated with chemical ontology can be a highly efficient approach for exploring bioactive plant extracts.
A qualitative exploration of student cognition when answering text-only or image-based histology multiple-choice questions.
Authors: Holland Jane , McGarvey Alice , Flood Michelle , Joyce Pauline , Pawlikowska Teresa
Published: April 2024

Interpretation of images and spatial relationships is essential in medicine, but the evidence-base on how to assess these skills is sparse. Thirty medical students were randomized into two groups (A and B), and invited to “think aloud” while completing 14 histology MCQs. All students answered six identical MCQs, three with only text and three requiring image interpretation. Students then answered eight “matched” questions, where a text-only MCQ on Version A was “matched” with an image-based MCQ on Paper B, or vice versa. Students’ verbalizations were coded with a realist, inductive approach and emerging codes were identified and integrated within overarching themes. High-performing students were more likely to self-generate an answer as compared to middle and lower-performing students, who verbalized more option elimination. Images had no consistent influence on item statistics, and students’ self-identified visual-verbal preference (“learning style”) had no consistent influence on their results for text or image-based questions. Students’ verbalizations regarding images depended on whether interpretation of the adjacent image was necessary to answer the question or not. Specific comments about the image were present in 95% of student-item verbalizations (142 of 150) if interpreting the image was essential to answering the question, whereas few students referred to images if they were an unnecessary addition to the vignette. In conclusion, while assessing image interpretation is necessary for authenticity and constructive alignment, MCQs should be constructed to only include information and images relevant to answering the question, and avoid adding unnecessary information or images that may increase extraneous cognitive load.
Unveiling the DHX15 - G-patch Interplay in Retroviral RNA Packaging
Authors: Rumlová Michaela , Dostálková Alžběta , Krizova Ivana , Junková Petra , Racková Jana , Kapisheva Marina , Novotný Radim , Danda Matěj , Zvonařová Karolína , Šinkovec Larisa , Večerková Kateřina , Bednarova Lucie , Ruml Tomas
Published: April 2024

We explored how a simple retrovirus, Mason-Pfizer monkey virus (M-PMV) to facilitate its replication process, utilizes DHX15, a cellular RNA helicase, typically engaged in RNA processing. Through advanced genetic engineering techniques, we showed that M-PMV recruits DHX15 by mimicking cellular mechanisms, relocating it from the nucleus to the cytoplasm to aid in viral assembly. This interaction is essential for the correct packaging of the virus's genetic material and critical for its infectivity. Our findings offer new insights into the mechanisms of viral manipulation of host cellular processes, highlighting a sophisticated strategy that viruses employ to leverage cellular machinery for their replication. This study adds valuable knowledge to the understanding of viral-host interactions but also suggests a common evolutionary history between cellular processes and viral mechanisms. This discovery opens a new perspective on the export mechanism of cellular intron-retaining mRNAs on packaging of viral genetic information and potentially develop ways to stop them.
Multi-objective optimization for balancing surface roughness and material removal rate in milling hardened SKD11 alloy steel with SIO2 nanofluid MQL
Authors: Bui Gia-Thinh , Do The-Vinh , Nguyen Quoc Manh , Thi Minh Hue Pham , Vu Minh Hung
Published: April 2024

In manufacturing practice, manufacturers always strive to achieve both quality and productivity targets simultaneously. In the first part, this study examines the relationship between input factors, including cutting speed, depth of cut, and feed rate, and the output response, which is surface roughness, when milling hardened SKD11 alloy steel under minimum coolant lubrication conditions using SiO2 nanofluid. The input parameters are divided into four levels to determine their influence on surface roughness and to find the optimal conditions for achieving the minimum surface roughness. The experimental design was conducted using an L16 array. A second-order regression model was developed to describe the relationship between the input variables and the output response. In the second part, multi-objective optimization was performed to simultaneously achieve the minimum surface roughness and the maximum material removal rate (MRR). The Response Surface Methodology (RSM) was employed in this study. The results indicated that to achieve the minimum surface roughness, machining should be performed at a cutting speed of 100 m/min, a cutting depth of 0.2 mm, and a feed rate of 0.01 mm/tooth. With these settings, the predicted surface roughness could reach 0.0451 µm. On the other hand, for the multi-objective optimization, to achieve the minimum surface roughness and the maximum MRR simultaneously, machining should be carried out at a cutting speed of 100 m/min, a cutting depth of 0.36 mm, and a feed rate of 0.0168 mm/tooth. With this cutting condition, the predicted surface roughness could reach 0.1069 µm, and the predicted MRR could reach 775.06 mm3/min
Amplitude and colour evolution
Authors: Plätzer Simon
Published: April 2024

Colour evolution and parton branching at the amplitude level have become important theoretical frameworks to improve parton showers, and are algorithms in their own right: They complement shower development by resummation algorithms capable of including interference effects and subleading colour contributions at an unprecedented level. I summarize recent development in the field, focusing on soft gluon evolution, hadronization, and the CVolver framework.
The role of the underlying event in the charm-baryon enhancement observed in pp collisions at LHC energies
Authors: Varga Zoltán , Misák Anett , Vértesi Róbert
Published: April 2024

We study the enhanced production of \Lambda_cΛc charmed baryons relative to that of charmed D^0D0 mesons in proton–proton collisions at LHC energies. We simulated collision events with the enhanced color-reconnection model in PYTHIA 8 MC generator and propose measurements based on the comparative use of different event-activity classifiers to identify the source of the charmed-baryon enhancement. We demonstrate that in this enhanced color-reconnection scenario the excess production is primarily linked to the underlying event and not to the production of high-momentum jets.
DEĞİŞEN TOPLUMDA DÜNYA AİLELERİ: AİLE ÖRÜNTÜLERİ VE HASTALIKTA, SAĞLIKTA EVLİLİKLER
Authors: Varışlı Berfin , Kurdoğlu İris , Ergin Su
Published: April 2024

Günümüzde dünya genelindeki toplumsal ilişkilerin birbiriyle bağlantılı olacak şekilde yoğunlaşmasının bir ifadesi olan küreselleşme süreçleriyle birlikte yaşanan hızlı değişim, toplumsal yapıyı ve yaşamı belirleyen kurumların değişimine neden olmaktadır. Aile, bu değişimi, yapısı ve örüntüleriyle derinden hisseden kurumların başında gelmektedir. Sanayileşme, modernleşme, kentleşme ve toplumsal rollerde gerçekleşen dönüşümler geleneksel ailenin işlevlerinin giderek farklılaşan süreçlerle karşılaşmasına, bu süreçlerin zorunlu bir sonucu olarak çekirdek aile modelinin ortaya çıkmasına yol açmıştır. Çekirdek aile, mevcut kültürel değerlerin bir kısmını bünyesinde barındırsa da günümüz toplumlarının bireyselleşmiş yaşam deneyimlerinin bir sonucu ve geleneğin otoritesinde yaşanan değişime paralel olarak temelinde farklı ülkelerden ve kültürlerden gelen ya da farklı ülkelerde yaşayan bireyler arasında kurulan yeni aileler ortaya çıkmıştır. Bu yeni postmodern aileler, Ulrich Beck ve Elisabeth Beck-Gernsheim tarafından dünya aileleri olarak tanımlanmıştır. Dünya aileleri, günümüzde yapısal ve mekânsal sınırların belirsizleşmesi ile mümkün hale gelmiştir. Bununla birlikte günümüzde boşanma, küresel bir olguya dönüşmekte, yeniden evlenmelerse daha yaygın hale gelmektedir. Bu çalışmada dünya aileleri kavramından hareketle Türkiye’de ve dünyada ailenin değişen yapısı ve örüntüleri OECD ve TÜİK verilerinin desteğiyle incelenerek günümüz ailelerinin, dünya aileleri kavramı kapsamında değerlendirilebileceği sonucuna varılmıştır.
Visual reconstruction method of architectural space under laser point cloud big data
Authors: Ma Xiyin , Li Jian
Published: April 2024

In order to solve the problem that the reconstruction accuracy and integrity are affected due to the large amount of point cloud data in the process of building space reconstruction, the visual reconstruction method of building space under laser point cloud big data is studied. The three-dimensional laser scanner is used to collect the laser point cloud big data in the building space, and the laser point cloud big data is organized and processed through three steps: hierarchical calculation of the point cloud pyramid, thinning treatment and block treatment. From the processing results of laser point cloud big data, the line features of building space are extracted based on the improved Mean-shift method, and the continuous broken lines in the point cloud data of building space are extracted by using the double radius threshold line tracing method. According to the feature extraction results of point cloud data in building space, the visual reconstruction of building space is completed through the process of translation matching and space matching. The experimental results show that this method can realize the visual reconstruction of architectural space, and the average reconstruction accuracy is higher than that of 97 %, and the reconstruction completion and smoothness are higher than 95 %.
Case study on water quality index for wastewater treatment in Mumbai
Authors: Shrivastava Preeti , Mategaonkar Meenal
Published: April 2024

The traditional wastewater treatment process is laborious and demanding in terms of time, energy, and space. With rapid advancements, there's a quest for more efficient techniques that can achieve comparable treatment outcomes while minimizing these demands. This study proposes a solution by employing ozone as an Advanced Oxidation Process (AOP) to expedite the treatment while enhancing the water quality. The Water Quality Index (WQI) offers a consolidated representation of overall water quality by considering multiple quality parameters. Although typically used for assessing surface water quality, this study utilizes WQI to gauge the enhancement in parameters post-treatment. The research investigates the impact of varied ozone doses on raw sewage samples collected from four different sites in Mumbai, focusing on parameters such as dissolved oxygen, turbidity, hardness, chemical oxygen demand (COD), and WQI. The results demonstrate a notable percentage enhancement in WQI, ranging from 30 to 60% across various sites within a short 25-minute timeframe, attributed to the application of ozone.
Identification, degradation characteristics, and application of a newly isolated pyridine-degrading Paracidovorax sp. BN6-4
Authors: Liang Die , Xie Yifei , Jiang Yi , Xu Wenlai , Wang Zicheng , Zhang Dan
Published: April 2024

The Paracidovorax sp. BN6-4 capable of degrading high concentrations of pyridine was isolated from the coking sludge. The removal rate of BN6-4 to 1,000 mg/L pyridine during 48 h was 97.49 ±1.59%. The primary intermediate metabolites of pyridine degradation by strain BN6-4 were identified by gas chromatography-mass spectrometry (GC-MS), including N-Ethylurea, acetamidoacetaldehyde, and N-Hydroxymethylacetamide, etc. Subsequently, two different biodegradation pathways of pyridine were proposed. First, the hydroxylation of pyridine to form the intermediates pyridin-2(1H)-one and 5,6-dihydropyridine-2,5-diol, the former undergoing oxidative ring opening and the latter oxidative ring opening via N-C2 and C2–C3 ring opening to ammonia and carbon dioxide. Furthermore, the organic matter was greatly degraded by the bioremediation of real coking wastewater using BN6-4. This study enriched the microbial resource for pyridine degradation and provided new insights about the biodegradation pathway of pyridine, which is of great significance for the pyridine pollution control and coking wastewater treatment.
SLAMS: PERCURSOS POÉTICOS EM COMUNIDADES DE PERIFERIA EM SALVADOR - BA
Authors: Gama Danielle Marcia Hachmann de Lacerda da
Published: April 2024

Este artigo tem por tema competições de poesia que levam, mundialmente, o nome de slams. Criado nos EUA em 1986 e trazido para o Brasil em 2008, o slam é uma batalha de poesias que busca promover espaços de expressão e, no Brasil, como em outros locais, tem se popularizado em locais periféricos de centros urbanos. Ao longo da investigação de mestrado, acompanhamos por dois anos o cenário dos slams na cidade de Salvador, Bahia, pela perspectiva teórica dos Estudos de Performance. A pesquisa, de cunho etnográfico, se deu através das técnicas da observação participante e entrevistas semiestruturadas, com o objetivo de compreender de que modo a performance do slam age na criação de novos locais de expressão e sociabilidade para moradores das periferias e como ele atua e ganha sentido, contribuindo com formas de pensar o político e o poético nos espaços da cidade de Salvador. Foi possível observar que, nesta capital, o slam é um fenômeno engajado politicamente a questões de afirmação da identidade étnico-racial negra, em especial de moradores de regiões periféricas, e integrado a outras manifestações artísticas e culturais de mesmo foco, nas quais seus atores transitam, inclusive entre diferentes pontos da cidade. Uma centralidade da periferia, nesse contexto, abre espaço para o re-conhecimento de lugares e afirmação de discursos marginalizados.
Palavras-chave: Slam; Batalhas de Poesia; Performance; Periferias; Salvador.
IDENTIDADE E TERRITORIALIDADE ÉTNICA EM FACE DA JUDICIALIZAÇÃO DE CONFLITO
Authors: Rodrigues Eliana Teles
Published: April 2024

Analisa a trajetória de um grupo quilombola em processo de reconhecimento de um território etnicamente configurado. Trata-se de estudo etnográfico realizado entre os anos 2010 e 2014 com os autodenominados quilombolas do rio Gurupá, município de Cachoeira do Arari, no arquipélago de Marajó, Pará. De sua mobilização por reconhecimento e acesso ao território etnicamente configurado, constituem-se novas formas político-organizativas, pelas quais esses coletivos buscam se adequar às questões normativas do direito brasileiro. Nesse contexto, assiste-se a mudanças sucessivas, resultantes de necessidades, projetos, lutas e reivindicações pelo território étnico, ao mesmo tempo em que persistem esquemas de judicialização dos conflitos. A construção de uma visão de direitos territoriais e econômicos, pelos quilombolas, é confrontada diretamente com projetos do agronegócio, com a regularização fundiária e ambiental do Estado e com as políticas sociais que suprimem o fator étnico.
Palavras-chave: Conflito; Direitos Territoriais; Marajó.
NOTAS ETNOGRÁFICAS DE DUAS PESQUISADORAS-TORCEDORAS: PRÁTICAS DO TORCER E CONSUMIR FUTEBOL DAS MULHERES DO SPORT CLUB DO RECIFE
Authors: Januário Soraya Maria Bernardino Barreto , Melo Paloma Souza de Castro
Published: April 2024

O presente artigo tem como objetivo refletir sobre as relações de consumo e participação da mulher no futebol a partir de marcadores performáticos em ambientes como de um estádio em dia de jogo, em uma perspectiva de gênero. Para isso, realizamos a observação participante das partidas decorrentes da punição imposta pelo Superior Tribunal de Justiça Desportiva (STJD) ao Sport Club do Recife, motivada pela violenta invasão de campo no Campeonato Brasileiro de 2022, na qual, durante três jogos, só foi permitida a entrada da torcida composta por mulheres, crianças e PCDs. O recorte teórico-metodológico se deu abarcado pelas epistemologias e antropologia feministas, sendo realizado enquanto método de coleta uma observação participante, diário de campo, entrevistas semiestruturadas e registros fotográficos. A análise foi dividida em quatro fases de participação das mulheres no estádio, fomentadas por importantes marcadores performáticos de suas identidades de torcedoras e da oferta de consumo propiciada pelo clube. Como resultados, encontramos padrões das práticas torcedoras hegemônicas, bem como rupturas no comportamento e consumo clubístico. Como conclusões, entendemos que jogos como esses podem contribuir para uma virada na participação das mulheres nas arquibancadas, não só no perfil da torcida, como também na forma como clubes e entidades esportivas enxergam as torcedoras.
Palavras-chave: Torcedoras; Sport Club do Recife; Antropologia Feminista; Consumo; Performance.
EXISTIR E HABITAR EM MUNDOS VIRTUAIS: SOBRE COISAS E TRECOS IMATERIAIS
Authors: Gomes Laura Graziela Figueiredo Fernandes , Iendrick Diogo Coutinho
Published: April 2024

Este artigo concentra-se no exame do interesse, prazer e hedonismo associados ao desenvolvimento de uma existência virtual, a partir da comparação entre três diferentes plataformas: Second Life, The Sims 4 e World of Warcraft. Em relação a esses mundos virtuais, a ênfase é direcionada à compreensão dos elementos que constituem sua mundidade e conferem autenticidade, especialmente o papel crucial do avatar como objeto técnico central que possibilita o engajamento nesse modo de existência. O espaço virtual assume relevância por sua capacidade de consolidar a presença e envolvimento do indivíduo nessa experiência com o avatar, a partir das affordances proporcionadas pelo ambiente e na criação de uma atmosfera onde se quer existir. Por meio das observações participante dos autores nos três mundos virtuais, são comparadas as especificidades que os distinguem, mas, sobretudo, as características comuns que atraem e mantêm engajamentos consistentes de usuários com os objetos sociotécnicos que aprenderam a singularizar. Nesse sentido, concluímos que, além da singularização dos avatares e dos ambientes em questão, a composição do segundo narra uma história em que os diferentes engajamentos elaboram a atmosfera e adensam a imersão enquanto experiência de consumo (modo de apropriação) da plataforma.
Palavras-chave: Mundos Virtuais; Imersão; Affordance; Atmosfera; Objetos Técnicos.
MEDIAÇÃO CULTURAL, ALTERIDADE E CONSUMO NOS PERFIS DAS INFLUENCIADORAS DIGITAIS @BLOGUEIRADEBAIXARENDA E @THALLITAXAVIER
Authors: Barros Carla Fernanda Pereira
Published: April 2024

O artigo tem como objetivo compreender como os perfis @blogueiradebaixarenda e @thallitaxavier divulgam estilos de vida surgidos no contexto de grupos mais abastados da sociedade – minimalismo e veganismo, respectivamente – se apropriando e adaptando esses modos de vida para seu universo social de origem. Nesse percurso, foram observados os elementos acionados para essa tradução – em que o consumo tem papel de destaque pela própria natureza do tema –, bem como as construções identitárias presentes, envolvendo os significados e as negociações do ser baixa renda em um fluxo de mediação cultural. A partir de pesquisa etnográfica, foram analisados vídeos no YouTube dentro da série intitulada Minimalismo de Baixa Renda e conteúdos sobre veganismo no TikTok e Instagram. Entre os resultados, destacam-se as ressignificações do estilo de vida para o universo social das classes populares e o papel das produtoras de conteúdo online como tradutoras entre dois mundos.
Palavras-chave: Mediação Cultural; Minimalismo; Veganismo; Influenciadores Digitais; Classes Populares.
Single-Cell Nuclear Sequencing Atlas Revealed the Induction of
Parkinson's Disease by RELN+ Neuron 3 and the Gene Regulatory
Network of MSRA
Authors: Liu Yin , Wu Yun
Published: April 2024

Aims::

To determine the cell types that promoted the progression of Parkinson's
disease (PD) using the substantia nigra in the brain tissues derived from patients
with PD and normal controls.

Background::

PD is an incurable neurodegenerative disease that threatens the physical
activity of the aging population, and the complex molecular mechanisms remain be comprehensively
elucidated.

Objective::

To describe potential disease-promoting cell types in PD and to provide a theoretical
basis.

Methods::

Single-cell nuclear sequencing data of nine PD samples and control samples
from Gene Expression Omnibus (GEO) were included, and heterogeneous cell subpopulations
in the substantia nigra were identified by annotation analysis. Potential pathogenic
cell subpopulations of PD were determined based on the expression data of marker
genes. Cell differentiation trajectories and communication networks were generated
by Pseudotime trajectory analysis and cell communication analysis. Furthermore, single--
cell regulatory network inference and clustering (SCENIC) analysis was conducted to determine
the regulatory network of transcription factor-target genes in PD.

Results::

Among the nine cell subpopulations classified, RELN+neuron 3 showed reduced
abundance and dopamine secretion capacity in PD and was therefore considered
as a promoter of PD pathogenesis and progression. The regulatory network of MSRA action
was involved in the developmental process of cells in the central nervous system, indicating
that MSRA and its targets might serve as potential therapeutic targets for PD.
RELN+neuron 3 had two directions of differentiation, specifically, branch 1 exhibited a
high apoptotic profile and branch 2 exhibited a high cell death profile. In addition, the intensity
of EPHA and EPHB signaling was attenuated between RELN+neuron 3 and
other cell subpopulations.

Conclusion::

To conclude, this study identified a subpopulation of RELN+neuron 3 cells
with markedly reduced abundance in the brain substantia nigra in PD. The MSRA-involved
gene regulatory networks was considered as a novel therapeutic network for PD.
Potential Serotonin 5-HT2A Receptor Agonist of Psychoactive Components of Silene undulata Aiton: LC-MS/MS, ADMET, and
Molecular Docking Studies
Authors: Alhawarri Maram B. , Olimat Suleiman
Published: April 2024

Background:

Silene undulata is historically used for inducing vivid and prophetic
lucid dreams, but limited information exists on its phytochemical composition and potential
pharmacological properties.

Objective:

This study aimed to investigate the phytochemical composition of S. undulata
through LC-MS/MS analysis and explore its potential serotonergic activity, which could support
and confirm the traditional use of S. undulata as a dream-inducing plant.

Methods:

LC-MS/MS analysis was conducted on S. undulata extract, identifying 51 phytochemicals,
including norharman, harmalol, harmaline, harmine, and ibogaine alkaloids. ADMET and
Molecular docking investigations were employed to assess the serotonergic potential of these
compounds.

Results:

The analysis revealed the presence of β-carboline alkaloids, such as norharman, harmalol,
harmaline, harmine, and ibogaine, within S. undulata extract. ADMET analysis showed that
these compounds have a favourable pharmacokinetic properties. In addition, molecular docking
investigations showed that harmaline (-8.90 Kcal/mol), harmalol (-8.56 Kcal/mol), and ibogaine
(-8.75 Kcal/mol) exhibited binding affinities comparable to the control molecule, LSD (-9.14
Kcal/mol), indicating potential agonistic activity at serotonin 5-HT2A receptor.

Conclusion:

These findings provide insights into the potential therapeutic benefits of S. undulata,
supporting its traditional use as a psychoactive plant. This study investigated the chemical
constituents and potential serotonergic agonist activity of S. undulata for the first time. While
promising, further research is necessary to uncover additional medicinal properties associated
with the identified phytochemical components.
The effect of adding dragon fruit peel (Hylocereus polyrhizus) and red ginger extract on characteristics of jelly candy from aloe vera
Authors: Hasibata Fadiyah Aisy Tsabita , Sinaga Hotnida , Masniary Lubis Linda
Published: April 2024

This research aimed to determine the effect of adding dragon fruit peel and red ginger extract on the characteristics of jelly candy made from Aloe vera. The study used a randomized block design (RBD) with two factors: the ratio of Aloe vera and dragon fruit peel (100:0, 90:10, 80:20, and 70:30) and red ginger extract (0%, 5%, and10 %). The parameters analyzed were moisture content, ash content, color value (⁰Hue), reducing sugar content, pH, crude fiber, anthocyanin value, antioxidant IC50, total phenol, as well as the hedonic values of color, aroma, taste, texture, and general acceptance. The results showed that the ratio of Aloe vera and dragon fruit peel significantly affected the ash content, color value (oHue), reducing sugar content, crude fiber, anthocyanin value, antioxidant IC50, total phenol, hedonic of color, and general acceptance. The red ginger extracts significantly affected ash content, color value (oHue), reducing sugar content, antioxidant IC50, total phenol, hedonic aroma, and taste. The interaction between the two factors significantly affected the color value (oHue) and total phenol. The formulation with a ratio of aloe vera:dragon fruit peel (70:30) and 10% red ginger extract yielded the best jelly candy.
Antioxidant and antibacterial activity of sappan wood (Caesalpinia sappan L.) kombucha
Authors: Zubaidah Elok , Aulia Salafy Rahma , Widya Ningtyas Dian , Denty Wiryawan Alivianisa Carissa
Published: April 2024

Sappan wood (Caesalpinia sappan Linn) is well known for its antioxidants, anti-inflammatories, and antibacterials. Unfortunately, this plant has not been used properly. In this study, sappan wood is processed into a kombucha drink through fermentation. Kombucha fermentation gives sappan wood drink a distinct and pleasant flavor while improving quality. The study aimed to increase the functional value of kombucha using sappan wood as raw material. Kombucha was prepared with sappan wood powder (16 mesh size) at various concentrations (0.4, 0.8, 1.2, 1.6, and 2% (w/v)) and 10% (w/v) sugar concentration. The effect of various sappan wood concentrations as a substrate for kombucha demonstrated a significant (p<0.05) reduction in pH and improvement in total phenol content, IC50 value of antioxidant activity, and antibacterial activity against E. coli. The best sappan wood kombucha treatment was obtained at a concentration of 1.2% with pH of 3.85, total phenol of 874.44 mg GAE/mL, total sugar of 6.62%, IC50 value of 85.43 ppm, antibacterial activity against E. coli of 8.57 mm, and antibacterial activity against S. aureus of 7.99 mm.
Wiedza finansowa a postawy wobec oszczędzania w kontekście wyzwań współczesnej gospodarki – badanie studentów Wyższej Szkoły Informatyki i Zarządzania w Rzeszowie
Authors: Boratyn Jakub
Published: April 2024

Celem artykułu jest ukazanie problematyki oszczędzania oraz wiedzy finansowej w kontekście wyzwań gospodarczych współczesnej gospodarki. W tym celu przeprowadzono badania z wykorzystaniem kwestionariusza na grupie studentów Wyższej Szkoły Informatyki i Zarządzania z siedzibą w Rzeszowie. W ramach badań podjęto próbę weryfikacji hipotezy dotyczącej istnienia związku między posiadaną wiedzą finansową a pozytywnymi postawami wobec oszczędzania. Przeprowadzone analizy potwierdzają pozytywne relacje między wzrostem dochodów a ilością oszczędzanej gotówki, równocześnie wskazując na brak korelacji między posiadaną wiedza finansową a postawami wobec oszczędzania wśród badanych studentów.
Diversidad de morfotipos de hongos ectomicorrizógenos y adaptación al hospedero en poblaciones contrastantes de Pinus greggii var. australis (Pinaceae)
Authors: Rodríguez-Gómez-Tagle Gabriela , Vargas Hernández J. Jesús , López Upton Javier , Pérez Moreno Jesús
Published: April 2024

Antecedentes y Objetivos: La compatibilidad entre hongos micorrizógenos y árboles es consecuencia de procesos coevolutivos en respuesta a presiones de selección. Se analizó la diversidad y diferenciación de morfotipos de las comunidades de hongos ectomicorrizógenos (ECM) en poblaciones naturales de Pinus greggii var. australis en dos ambientes contrastantes (Zacualpan y Cieneguilla, México), y en combinaciones recíprocas de origen de semilla e inóculo en vivero. Métodos: Se recolectaron muestras de suelo de dos poblaciones naturales de P. greggii var. australis. Una parte se utilizó para la obtención e identificación de morfotipos, la otra, como inóculo para el bioensayo en vivero. Se utilizó el Índice de diversidad de Shannon y el Índice de similitud de Bray-Curtis para estimar la diversidad y el grado de diferenciación en las comunidades ECM de ambas poblaciones naturales y en las plantas del bioensayo.Resultados clave: Se encontraron 32 distintos morfotipos ECM en las poblaciones naturales, 23 en Zacualpan, 17 en Cieneguilla y ocho en ambas. La diversidad de morfotipos fue mayor en Zacualpan, con una fuerte diferenciación de la otra comunidad. Al inicio del bioensayo dominó el morfotipo Tomentella sp. y a los ocho meses Rhizopogon sp. Se identificaron los morfotipos de Cenococcum geophilum y Wilcoxina sp. La dinámica de colonización de raíces fue más rápida con el huésped u hospedero de Cieneguilla. La diversidad de morfotipos fue mayor en las asociaciones simpátricas al inicio, pero 12 meses después de la siembra fue mayor en las alopátricas.Conclusiones: Existe una amplia diversidad y fuerte diferenciación entre los morfotipos de hongos ECM de ambas poblaciones naturales de Pinus greggii var. australis. La diversidad y diferenciación de la comunidad de morfotipos en el bioensayo se redujo con la edad de las plantas, lo que indica un efecto del ambiente de vivero sobre la homogeneización de la composición de las comunidades ectomicorrízicas.