bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teachers and Teaching Canons at the Kazan Theological Academy in the Memoirs of Contemporaries: The Second Stage (1859–1864)
Authors: Зотин Андрей 
Published: August 2024

В связи с возросшим историческим интересом к изучению наследия отдельных личностей и научных школ в области канонического права, перспективным представляется изучение личностей преподавателей и традиций преподавания каноники в Казанской духовной академии. Особый интерес в этом контексте представляют мемуары, воспоминания студентов и профессоров Казанской и других духовных академий, на основании которых можно составить живые портреты преподавателей, а также рассмотреть традицию преподавания каноники в Казанской духовной академии.
In connection with the increased historical interest in studying the heritage of individuals and scientific schools in the field of canon law, the study of the personalities of teachers and the traditions of teaching canons at the Kazan Theological Academy seems promising. Of particular interest in this context are the memoirs, recollections of students and professors of the Kazan and other theological academies, based on which it is possible to draw up living portraits of teachers, as well as consider the tradition of teaching canons at the Kazan Theological Academy.
Conciliar Legitimation of Autocephaly of the Romanian Church in the Works of Kazan Canonists
Authors: Зотин Андрей 
Published: August 2024

В статье рассматривается процесс «соборной легитимации» то есть узаконивания дарования независимости Церковью-матерью через санкционирование от лица иерархии, духовенства, народа и правительства. Данный процесс исследуется на примере Румынской Церкви в XIX веке на основании трудов казанских канонистов.
The article examines the process of “conciliar legitimation”, that is, legitimizing the granting of independence by the Mother Church through sanctioning on behalf of the hierarchy, clergy, people and government. This process is studied using the example of the Romanian Church in the 19th century based on the works of Kazan canonists.
Pemilihan Sistem Air Limbah-Lumpur Tinja Komunal Menggunakan Analisis Klaster Hirarki
Authors: Hastuti Elis , Benny Joy  , Unang Supratman  
Published: August 2024

Pengelolaan lumpur tinja dari instalasi pengolahan air limbah (IPAL) desentralisasi merupakan tantangan di kawasan permukiman yang memiliki keterbatasan akses ke sarana pengolahan lumpur tinja terpusat. Pada tulisan ini, dikaji pemilihan dan strategi pengembangan sistem IPAL komunal dan pengolahan lumpur tinja terintegrasi (SIPAL-LT). Faktor-faktor dominan keberlanjutan pengembangan IPAL menentukan pemilihan SIPAL-LT, yaitu faktor sistem pengolahan, pengelolaan, lingkungan, dan karakteristik masyarakat. Pengembangan IPAL terintegrasi di lokasi studi ditentukan berdasarkan profil keberlanjutan, pilihan teknologi, dan profil pengembangan SIPAL-LT. Pemilihan dan penentuan prioritas pengembangan SIPAL-LT dianalisis dengan metode klaster hirarki, sedangkan strategi pengembangannya menggunakan analisis kuadran. Pilihan SIPAL-LT dapat dikembangkan pada klaster yang memiliki karakteristik, yaitu air limbah domestik berkategori pencemar rendah-sedang, pengguna IPAL komunal eksisting lebih dari 60% kapasitas, lumpur tinja berkategori pencemar rendah, tingkat pemeliharaan IPAL komunal berkategori rendah-sedang, indeks efektifitas IPAL komunal lebih dari 60%, dan tingkat partisipasi masyarakat berkategori sedang-tinggi. Pilihan SIPAL-LT terbaik berada di lokasi studi yang telah memanfaatkan IPAL komunal teknologi biofilter atau digester anaerobik, sedangkan pengolahan lumpur tinja direncanakan menggunakan sistem constructed wetland atau kombinasi sistem sludge drying bed dan sistem co-composting
Effectiveness of Citronella Extract (Cymbopogon nardus) Mouthwash From Microwave-Assisted Extraction Method Against Streptococcus mutans
Authors: Komala Oom , Mahyuni Siti , Pradiningsih Anna , Dewi Elfrieda Kusuma 
Published: August 2024

Cymbopogon nardus, or citronella has a distinctive aroma is known as a source of essential oils. Extract of citronella can be use as mouthwash to reduce bad breath and protect teeth from bacteria that cause dental caries. C. nardus contains antibacterial compounds such as flavonoid, essential oils, polyphenols, and saponin which are also act as antioxidant compounds. This research was carried out to formulate mouthwash using citronella extract and determine the antibacterial activity of the citronella mouthwash against S. mutans bacteria using disc diffusion method. The microwave extraction method (MAE) was used to obtain extract using 70 % and 96 % ethanol as a solvents. The mouthwash were made in 3 formulas i.e. formula 1, formula 2, and formula 3 each contain 25 % w/v, 30 % w/v, and 35 % w/v) respectively. The quality of mouthwash includes organoleptic, pH, viscosity and hedonic was evaluated and antibacterial activity was determined by measuring the value of minimum inhibitory concentration (MIC) and diameter of inhibition zone. The MIC value of citronella extract was achieved at concentration 20 %. All mouthwash formula met the requirements for a good mouthwash. Formula 1 was the most preferred formula by the panelists based on the hedonic test. Formula 3 had the strongest antibacterial activity with diameter inhibitory of 17.6 ± 0.52 mm. It was concluded that citronella mothwash has the potential to be developed into an antibacterial mouthwash.
PRNP is a pan-cancer prognostic and immunity-related to EMT in colorectal cancer
Authors: Chen Haifeng , Du Yao , Kong Zhiyuan , Liao Xinghe , Li Weiping 
Published: August 2024

BackgroundPrion protein gene (PRNP) is widely expressed in a variety of tissues. Although the roles of PRNP in several cancers have been investigated, no pan-cancer analysis has revealed its relationship with tumorigenesis and immunity.MethodsComprehensive analyses were conducted on The Cancer Genome Atlas (TCGA) Pan-Cancer dataset from the University of California Santa Cruz (UCSC) database to determine the expression of PRNP and its potential prognostic implications. Immune infiltration and enrichment analysis methods were used to ascertain correlations between PRNP expression levels, tumor immunity, and immunotherapy. Additionally, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) methods were employed to examine possible signaling pathways involving PRNP. In vitro experiments using CCK-8 assay, Wound healing assay, and Transwell assay to detect the effect of Cellular prion protein (PrPC) on proliferation, migration, and invasion in colorectal cancer (CRC) cells. The expression levels of epithelial-mesenchymal transition (EMT)-related proteins (N-cadherin, E-cadherin, Vimentin and Snail) were detected by western blot.ResultsAmong most cancer types, PRNP is expressed at high levels, which is linked to the prognosis of patients. PRNP expression is strongly associated with immune infiltrating cells, immunosuppressive cell infiltration and immune checkpoint molecules. In addition to tumor mutation burden (TMB), substantial correlations are detected between PRNP expression and microsatellite instability (MSI) in several cancers. In vitro cell studies inferred that PrPC enhanced the proliferation, migration, invasion, and EMT of CRC cells.ConclusionPRNP serves as an immune-related prognostic marker that holds promise for predicting outcomes related to CRC immunotherapy while simultaneously promoting cell proliferation, migration, and invasion activities. Furthermore, it potentially plays a role in governing EMT regulation within CRC.
Type 1 diabetes and combined acute and chronic complications are associated with risk of progression of liver fibrosis: a Mendelian randomization study
Authors: Huo Guangyuan , Gao Yueqiu 
Published: August 2024

BackgroundThere has been controversy and uncertainty regarding the causal relationship between type 1 diabetes, its consequences, liver fibrosis, and cirrhosis. In order to determine the causal relationship, we conducted a Mendelian randomization study (MR).MethodsFor the first time, we subjected multiple diabetes data to analyze its relationship with the progression of liver fibrosis. Once the instrumental variables had been extracted, we assessed them employing Cochran’s Q multi-analysis, inverse variance weighted, MR-Egger, MR-PRESSO, weighted mode, and weighted median.ResultsGenetically predicted type 1 diabetes (OR = 1.13, 95% CI: 1.04–1.23, **P = 3.42 × 10−3), type 1 diabetes without complications (OR = 1.12, 95% CI: 1.03–1.23, *P = 1.26 × 10−2), type 1 diabetes with coma (OR = 1.09, 95% CI: 1–1.18, *P = 4.74 × 10−2), type 1 diabetes with ketoacidosis (OR = 1.07, 95% CI: 1.01–1.13, *P = 1.3 × 10−2), type 1 diabetes with neurological complications (OR = 1.18, 95% CI: 1.11–1.26, ***P = 4.05 × 10−7), type 1 diabetes with ophthalmic complications (OR = 1.16, 95% CI: 1.05–1.28, **P = 3.06 × 10−3), type 1 diabetes with renal complications (OR = 1.07, 95% CI: 1–1.13, *P = 3.45 × 10−2), type 1 diabetes with other specified/multiple/unspecified complications (OR = 1.12, 95% CI: 1.02–1.23, *P = 1.41 × 10−2) were all associated with an increased risk of liver fibrosis progression.ConclusionsAccording to our MR investigation, type 1 diabetes and both its acute and chronic implications may increase the likelihood that liver fibrosis could continue to develop. Additionally, type 1 diabetes with neurological and ocular problems is more likely to accelerate the development of liver fibrosis and inflammation, which offers new insights for genetic investigations.
An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates
Authors: Daemei Abdollah Baghaei , Bradecki Tomasz , Pancewicz Alina , Razzaghipour Amirali , Darvish Amiraslan , Jamali Asma , Abbaszadegan Seyedeh Maryam , Askarizad Reza , Kazemi Mostafa , Sharifi Ayyoob 
Published: August 2024

Introduction: Amidst escalating global temperatures, increasing climate change, and rapid urbanization, addressing urban heat islands and improving outdoor thermal comfort is paramount for sustainable urban development. Green walls offer a promising strategy by effectively lowering ambient air temperatures in urban environments. While previous studies have explored their impact in various climates, their effectiveness in humid climates remains underexplored.Methods: This research investigates the cooling effect of a green wall during summer in a humid climate, employing two approaches: Field Measurement-Based Analysis (SC 1: FMA) and Deep Learning Model (SC 2: DLM). In SC 1: FMA, experiments utilized data loggers at varying distances from the green wall to capture real-time conditions. SC 2: DLM utilized a deep learning model to predict the green wall’s performance over time.Results: Results indicate a significant reduction in air temperature, with a 1.5°C (6%) decrease compared to real-time conditions. Long-term analysis identified specific distances (A, B, C, and D) contributing to temperature reductions ranging from 1.5°C to 2.5°C, highlighting optimal distances for green wall efficacy.Discussion: This study contributes novel insights by determining effective distances for green wall systems to mitigate ambient temperatures, addressing a critical gap in current literature. The integration of a deep learning model enhances analytical precision and forecasts future outcomes. Despite limitations related to a single case study and limited timeframe, this research offers practical benefits in urban heat island mitigation, enhancing outdoor comfort, and fostering sustainable and climate-resilient urban environments.
Influences of channel bed morphology on flow structures in continuous curved channels
Authors: Liu Yujiao , Chai Yuanfang , Yu Minghui , Zhou Yinjun 
Published: August 2024

Introduction: The formation of bars and pools, characterized by concave and convex bed morphology, is a typical feature of curved rivers. The channel bed morphology has a significant influence on the flow structures in curved channels.Methods: Based on data from physical model experiments, this study employs the RNG k-ε model and the VOF (Volume of Fluid) method to perform three-dimensional numerical simulations of flow in continuous curved channels.Results: By comparing the variations in flow structures between channels with a flat bed and channels with bars and pools, the results show that the presence of bars and pools leads to an increase in longitudinal flow velocity on the convex bank side near the entrance of the upstream bend, while in the downstream bend it is opposite. The high-velocity region shifts slower towards the concave bank along the bend. The presence of point bars weakens the circulation near the convex bank in the upstream bend, resulting in a smaller circulation intensity. The decrease in circulation intensity is the largest (−23.91%) at the apex of the bend. In the downstream bend, the remaining circulation from the upstream bend attenuates slower in the pool and has a greater impact distance, increasing the circulation intensity in the downstream bend. The section near the bend entrance shows the largest increase in circulation intensity, with a rate of 128.18%. The unevenness of the bed topography increases the unevenness of the bed shear stress in the downstream bend.Discussion: The findings of this study contribute to a deeper understanding of the complex flow structures and evolution trends in natural curved rivers, providing scientific basis for the management of curved river channels.
MSFN: a multi-omics stacked fusion network for breast cancer survival prediction
Authors: Zhang Ge , Ma Chenwei , Yan Chaokun , Luo Huimin , Wang Jianlin , Liang Wenjuan , Luo Junwei 
Published: August 2024

Introduction:Developing effective breast cancer survival prediction models is critical to breast cancer prognosis. With the widespread use of next-generation sequencing technologies, numerous studies have focused on survival prediction. However, previous methods predominantly relied on single-omics data, and survival prediction using multi-omics data remains a significant challenge.Methods:In this study, considering the similarity of patients and the relevance of multi-omics data, we propose a novel multi-omics stacked fusion network (MSFN) based on a stacking strategy to predict the survival of breast cancer patients. MSFN first constructs a patient similarity network (PSN) and employs a residual graph neural network (ResGCN) to obtain correlative prognostic information from PSN. Simultaneously, it employs convolutional neural networks (CNNs) to obtain specificity prognostic information from multi-omics data. Finally, MSFN stacks the prognostic information from these networks and feeds into AdaboostRF for survival prediction.Results:Experiments results demonstrated that our method outperformed several state-of-the-art methods, and biologically validated by Kaplan-Meier and t-SNE.
Genetic insights into the gut microbiota and risk of psoriasis: a bidirectional mendelian randomization study
Authors: Qian Minyu , Shi Jianxin , Zhang Zhuoya , Bi Dezhao , Tan Cheng 
Published: August 2024

BackgroundGrowing evidence indicates a potential association between the gut microbiome and psoriasis. Nevertheless, the precise nature of these associations and whether they constitute causal relationships remain unclear.MethodsA rigorous bidirectional two-sample Mendelian randomization study was undertaken to establish a putative causal link between gut microbiota and psoriasis. We drew upon publicly available datasets containing summary statistics from GWAS to accomplish this. Utilizing various analytical techniques, including inverse variance weighting, MR-Egger, weighted median, weighted model, and MR-PRESSO, we sought to validate the putative causal association between gut microbiota and psoriasis. A reverse Mendelian randomization analysis was conducted to further investigate the relationship.ResultsAfter conducting a forward Mendelian randomization analysis, a causal relationship was established between 19 gut microbiota and psoriasis. Furthermore, the reverse MR study revealed causality between psoriasis and 13 gut microbiota. Notably, no substantial heterogeneity of instrumental variables or horizontal pleiotropy was observed.ConclusionThis research suggests a potential genetic association and causal nexus between gut microorganisms and psoriasis, indicating potential implications for the clinical management and therapy of psoriasis. Additional observational studies with a larger population sample size and animal model experiments are imperative to fully elucidate this association’s underlying mechanisms.
Causal relationship between the gut microbiota, immune cells, and coronary heart disease: a mediated Mendelian randomization analysis
Authors: Yang Feifei , Song Hui , Tang Weizhi , Liu Lingyun , Zhu Ziyi , Ouyang Bin , Zhang Liwen , He Guixin , Qin Weibin 
Published: August 2024

BackgroundRecent studies have shown that the gut microbiota (GM), immune cells, and coronary heart disease (CHD) are closely related, but the causal nature of these relationships is largely unknown. This study aimed to investigate this causal relationship and reveal the effect of GM and immune cells on the risk of developing CHD using mediated Mendelian randomization (MR) analysis.MethodsFirst, we searched for data related to GM, immune cells, and CHD through published genome-wide association studies (GWAS). We filtered the single nucleotide polymorphisms (SNPs) associated with GM and immune cells and then performed the first MR analysis to identify disease-associated intestinal bacteria and disease-associated immune cells. Subsequently, three MR analyses were conducted: from disease-associated GM to disease-associated immune cells, from disease-associated immune cells to CHD, and from disease-associated GM to CHD. Each MR analysis was conducted using inverse variance weighting (IVW), MR-Egger regression, weighted median, weighted models, and simple models.ResultsA total of six GM and 25 immune cells were found to be associated with CHD. In the MR analysis using the inverse variance weighting (IVW) method, g__Desulfovibrio.s__Desulfovibrio_piger was associated with EM DN (CD4–CD8–) %T cells (P &lt; 0.05 and OR &gt; 1), EM DN (CD4–CD8–) %T cells was associated with CHD (P &lt; 0.05 and OR &lt; 1), and g__Desulfovibrio.s__Desulfovibrio_piger was associated with CHD (P &lt; 0.05 and OR &lt; 1).ConclusionAn increase in the abundance of g__Desulfovibrio.s__Desulfovibrio_piger leads to an increase in the amount of EM DN (CD4–CD8–) %T cells, and an increase in the amount of EM DN (CD4–CD8–) %T cells reduces the risk of developing CHD. Our study provides some references for reducing the incidence of CHD by regulating GM and immune cells.
Single-sample gene set enrichment analysis reveals the clinical implications of immune-related genes in ovarian cancer
Authors: Gong Weiwei , Kuang Mingqin , Chen Hongxi , Luo Yiheng , You Keli , Zhang Bin , Liu Yueyang 
Published: August 2024

PurposeOvarian cancer (OC) is a common gynecological malignancy with poor prognosis and substantial tumor heterogeneity. Due to the complex tumor immune microenvironment (TIME) among ovarian cancer, only a few patients have an immune response to immunotherapy. To investigate the differences in immune function and identify potential biomarkers in OC, we established a prognostic risk scoring model (PRSM) with differential expression of immune-related genes (IRGs) to identify critical prognostic IRG signatures.MethodsSingle-sample gene set enrichment analysis (ssGSEA) was used to investigate the infiltration of various immune cells in 372 OC patients. Then, COX regression analysis and Lasso regression analysis were used to screen IRGs and construct PRSM. Next, the immunotherapy sensitivity of different risk groups regarding the immune checkpoint expression and tumor mutation burden was evaluated. Finally, a nomogram was created to guide the clinical evaluation of the patient prognosis.ResultsIn this study, 320 immune-related genes (IRGs) were identified, 13 of which were selectively incorporated into a Prognostic Risk Scoring Model (PRSM). This model revealed that the patients in the high-risk group were characterized as having poorer prognosis, lower expression of immune checkpoints, and decreased tumor mutation load levels compared with those in the low-risk group. The nomogram based on the risk score can distinguish the risk subtypes and individual prognosis of patients with OC. Additionally, M1 macrophages may be the critical target for immunotherapy in OC patients.ConclusionWith the in-depth analysis of the immune microenvironment of OC, the PRSM was constructed to predict the OC patient prognosis and identify the subgroup of the patients benefiting from immunotherapy.
The dissociating effects of fear and disgust on multisensory integration in autism: evidence from evoked potentials
Authors: Stefanou Maria Elena , Dundon Neil M. , Bestelmeyer Patricia E. G. , Biscaldi Monica , Smyrnis Nikolaos , Klein Christoph 
Published: August 2024

BackgroundDeficits in Multisensory Integration (MSI) in ASD have been reported repeatedly and have been suggested to be caused by altered long-range connectivity. Here we investigate behavioral and ERP correlates of MSI in ASD using ecologically valid videos of emotional expressions.MethodsIn the present study, we set out to investigate the electrophysiological correlates of audiovisual MSI in young autistic and neurotypical adolescents. We employed dynamic stimuli of high ecological validity (500 ms clips produced by actors) that depicted fear or disgust in unimodal (visual and auditory), and bimodal (audiovisual) conditions.ResultsWe report robust MSI effects at both the behavioral and electrophysiological levels and pronounced differences between autistic and neurotypical participants. Specifically, neurotypical controls showed robust behavioral MSI for both emotions as seen through a significant speed-up of bimodal response time (RT), confirmed by Miller’s Race Model Inequality (RMI), with greater MSI effects for fear than disgust. Adolescents with ASD, by contrast, showed behavioral MSI only for fear. At the electrophysiological level, the bimodal condition as compared to the unimodal conditions reduced the amplitudes of the visual P100 and auditory P200 and increased the amplitude of the visual N170 regardless of group. Furthermore, a cluster-based analysis across all electrodes revealed that adolescents with ASD showed an overall delayed and spatially constrained MSI effect compared to controls.ConclusionGiven that the variables we measured reflect attention, our findings suggest that MSI can be modulated by the differential effects on attention that fear and disgust produce. We also argue that the MSI deficits seen in autistic individuals can be compensated for at later processing stages by (a) the attention-orienting effects of fear, at the behavioral level, and (b) at the electrophysiological level via increased attentional effort.