bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methodology for the historical and synoptic analysis of snows. Its application to the region of Castilla y León (Spain)
Authors: Ortega María Teresa , Morales Carlos Gabriel 
Published: August 2022

Abstract
A methodology is proposed for the study of snowfall, applied to the autonomous community of Castilla y León (Spain). It is based on two major pillars: the elaboration of a Snowfall Catalogue from the consultation of documentary sources (press) between 1979-2021, which allows cataloging all the episodes that occurred, from October to May; and the synoptic study of the atmospheric dynamics in those 43 years, identifying the different types of weather as a means of validating the cataloged episodes. The database created provides information on its intensity, duration and frequency, as well as its genesis, distribution, typology and climatic hazard. All this has been analyzed and has allowed to recognize different stages in its way of occurring and to estimate trends and behaviours both in the number of episodes and the number of snow days and their assessment in the current situation of climate change.
Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characteristics in pancreatic adenocarcinoma
Authors: Li Jian , Yin Jingyang , Li Wenhua , Wang Huaizhi , Ni Bing 
Published: August 2022

Abstract
Background: Multiple molecular subtypes with distinct clinical outcomes in pancreatic adenocarcinoma (PAAD) have been identified in recent years. Cuproptosis is a new form of cell death that likely involved in tumor progression. However, the cuproptosis-related molecular subtypes as well as its mediated tumor microenvironment (TME) cell infiltration characteristics largely remain unclear.Methods: Expression profiles of 10 cuproptosis-related genes (CRGs) and their association with patient survival, TME, cancer stemness and drug resistance were studied in 33 cancer types using the TCGA pan-cancer data. Using 437 PAAD samples from five cohorts (TCGA-PAAD cohort and four GEO cohorts), we explored the molecular subtypes mediated by CRGs, along with the associated TME cell infiltration. Unsupervised methods were utilized to perform cuproptosis subtype clustering. The cuproptosis score was constructed using the COX regression model with least absolute shrinkage and selection operator regression (LASSO) algorithm to quantify the cuproptosis characteristics of a single tumor.Results: The expression of 10 CRGs varies in different cancer types with striking inter- and intra- cancer heterogeneity. We integrated the genomic profiling of the CRGs and identified three distinct cuproptosis subtypes, and found that multi-layer CRG alterations were correlated with patient prognosis and TME cell infiltration characteristics. In addition, a cuproptosis score signature was constructed to predict prognosis, and its clinical impacts were characterized in the TCGA-PAAD cohort. The cuproptosis signature was significantly associated with prognosis, tumor subtypes, CD8 T-cell infiltration, response to immune checkpoint inhibitors (ICIs) and chemotherapeutic drug sensitivity. Furthermore, the expression patterns of CRGs in pancreatic cancer cells and normal controls were validated, which was almost consistent with the results from the public database. The expression level and prognostic predictive capability of DLAT were verified in 97 PAAD patients from our patient cohort.Conclusions: These findings may help understand the roles of CRGs in PAAD and the molecular characterization of cuproptosis subtypes. In addition, the cuproptosis score could serve as a promising biomarker for predicting prognosis and response to immunotherapy in PAAD patients.
Pathway Expression Analysis
Authors: Mankovich Nathan , Kirby Michael , Kehoe Eric , Peterson Amy 
Published: August 2022

Abstract
This paper introduces a pathway expression framework as an approach for constructing derived biomarkers. The pathway expression framework incorporates the biological connections of genes leading to a biologically relevant model. Using this framework, we distinguish between shedding subjects post-infection and all subjects pre-infection in human blood transcriptomic samples challenged with various respiratory viruses: H1N1, H3N2, HRV (Human Rhinoviruses), and RSV (Respiratory Syncytial Virus). Additionally, pathway expression data is used for selecting discriminatory pathways from these experiments. The classification results and selected pathways are benchmarked against standard gene expression based classification and pathway ranking methodologies. We find that using the pathway expression data along with selected pathways, which have minimal overlap with high ranking pathways found by traditional methods, improves balanced success rates across experiments.
A 3-stage classification system for predicting breast cancer diagnosis via FNA biopsy features
Authors: Cingillioglu Ilker , Makalic Enes 
Published: August 2022

Abstract
Using a 3-stage classification system for predicting breast cancer diagnosis via Fine Needle Aspiration biopsy features, researchers found that if a tumour is classified as benign by the first classifier, since this prediction has 100% accuracy, yet at the discretion of a physician, without undergoing any treatment the patient may be discharged imminently. Similarly, if a tumour is classified as malignant by the second classifier, due to 100% prediction accuracy, yet again at the discretion of a physician, necessary cancer treatments may commence without further ado. If a case is classified as malignant by the first, then benign by the second classifier, a third classifier will provide the physician with a probabilistic estimate. The outcome provided by this classification system can help physicians not only make better-informed decisions about the status of a suspected breast tumour, but also take subsequent action quicker with confidence. This study may also encourage hospitals to rely more on artificial intelligence to be utilized during the diagnosing process of breast cancer tumours.
The utilization of biochar alone and in combination with compost for removal of potentially toxic metals accumulated in soils associated with land-use patterns
Authors: Hanyabui Emmanuel , Phares Christian Adler , Botchway Emmanuel , Sarpong Atta Kena , Apori Samuel Obeng , Ofori Patrick Manfo 
Published: August 2022

Abstract

Potentially toxic metals in soils are a threat to food security and harmful to human because it enters the food chain through crop uptake. Hence, it is critical to know the levels of potentially toxic metals in soils due to agricultural land use patterns and how they can be removed from the soil. This review discussed the effect of different land-use patterns on heavy metal accumulation, their removal using biochar. A desktop review which employed PRISMA was used to put together information from peer-reviewed papers including journal articles, books, thesis and reports. It was shown that potentially toxic metals mainly found in the soil include; As, Cu, Cd, Zn, Cr, Co, Ni, Sb, Hg, Th, Pb, Si, and Se. The sources of these potentially toxic metals accumulation in soils were organic and inorganic fertilizer application, irrigation, pesticides and weedicides application and atmospheric deposition. However, different land-use patterns (greenhouse field, vegetable field soils, forest field, and maize field soil) had a significant accumulation of heavy metals (Cr, Ni, Cu, As, Cd, and Zn) due to increasing crop yield through the application of fertilizers and pesticides. Biochar was found to be effective in the removal of 18 to 40% of these potentially toxic metals from the soil. The mechanisms of removal were; precipitation, physical sorption, complexation, and ion exchange and electrostatic interaction. It can be concluded that biochar applied solely or in addition to compost has strong stability to remove heavy metals accumulated in soils due to land use patterns.
LncRNA HOTAIR promotes hyperglycemic-induced renal tubular epithelial cell injury via miR-126-5p/Akt axis
Authors: Jiang Qiong , Yang Ting , Zou Yan , He Mingjie , Li Qingchun , Chen Xiaohui , Zhong Aimin 
Published: August 2022

Abstract
Background
Most people with diabetic nephropathy will eventually develop chronic kidney disease syndrome. One important reason is that high glucose can injure renal tubular cells. HOTAIR involves in the development process of various diseases, but how it affects the renal tubular cells remains unknown.
Methods
CCK8 assay and Flow cytometry were used to identify the high-glucose HK-2 cells injury model, and to detect the role of HOTAIR, miR-126-5p in the HK-2 injury. qPCR and Western blotting were performed to evaluate the changes of HOTAIR, miR-126-5p, apoptosis-related molecules, and PI3K/AKT signaling. Luciferase reporter assays were used to determine the interactions between HOTAIR and miR-126-5p.
Results
High-glucose treatment resulted in the high expression of HOTAIR and low expression of miR-126-5p. HOTAIR could target miR-126-5p to promote the activity of PI3K/AKT, and eventually lead to the apoptosis of HK-2 cells.
Conclusions
High glucose induces the injury of HK-2 through the HOTAIR/miR-126-5p/PI3K/Akt signaling pathway.
The Impact of River Rehabilitation on Flood Mitigation: A Case Study of Ismetiye Creek Bursa
Authors: Wani Amir Iqbal , Korkmaz Serdar 
Published: August 2022

Abstract
In this study, the impact of channel rehabilitation on the extent of floodplain map for Q500 and Q1000 discharges is investigated in the Ismetiye creek, located in Bursa, Turkey. The necessary data used is discharge and the elevation data for the main channel and the catchment area of Ismetiye creek. Both point elevation data and topographic contour lines are used to create the digital elevation model of the area in Arc Map. Subsequently, it is used to develop the floodplain model of catchment area for extreme discharges using HEC-RAS software for the two cases including before and after the rehabilitation of Ismetiye creek. Water depths and floodplain maps are compared for these two cases. In addition, flood hazard maps, flood velocity maps, and water surface elevation maps are developed and compared. Flow hydrographs in the main channel and overbanks are computed at specified stations along the river. It is observed that rehabilitation works contributed the flood mitigation by reducing overbank flows and flood extent considerably. Finally, some recommendations are proposed for future works.
Seismic hazard and total risk analysis for cascade dams situated in geologically sensitive regions
Authors: Zhang Rui , Wang Bende 
Published: August 2022

Abstract
A modified version of a seismic risk assessment method is presented that generalises original risk analytical processes, constructs interrelationships among hazard variables in pre-assign weight-based formats, and establishes priorities to address potentially vulnerable dams. The concerned parameter values contained in each component are labelled based on adjusted grading standards, respecting the regional difference in hydraulic structure attributes and safety acceptability ranges. The cascade dams in Dadu River, China, are selected to test the applicability of the proposed method. We systematically investigate potential seismic hazards to demonstrate the implications of earthquake on dam safety. The results indicate that the adapted parameter ranges correspond with the physical aspects of the dams and potential social-economic consequences in geologically sensitive regions. Correspondingly, the hazard recognition levels accommodate their local near-source earthquake conditions. Moreover, the investigation guides local emergency services with warnings of potential dam damages and ensuing floods when encountering critical earthquake shaking.
Enhanced metal-support interaction boosted industrial electrocatalytic water splitting performance of supported Ru nanoparticles on Ni3N/NiO heterojunction
Authors: Liu Rui , Sun Mingzi , Liu Xiangjian , Lv Zunhang , Yu Xinyu , Wang Jinming , Liu Yarong , Li Liuhua , Yang Wenxiu , Huang Bolong , Feng Xiao , Wang Bo 
Published: August 2022

Abstract
Developing highly efficient and stable hydrogen production electrocatalysts for water splitting at industrial current densities remains a great challenge. Herein, we fabricated Ru nanoparticle-anchored ultrathin Ni3N/NiO heterostructure nanosheets (Ru-Ni3N/NiO) for efficient electrochemical water splitting (EWS). Density function theory (DFT) calculations demonstrated that the formation of Ni3N/NiO-heterostructures improve the structural stability, electronic distributions, and orbital coupling of Ru-Ni3N/NiO compared to single-phase-metal-carrier catalysts (Ru-Ni3N and Ru-NiO), which increases the electroactivity and further lead to strongly decreased energy barriers for EWS. As a proof-of-concept, the catalyst with oriented 2D nanosheet array morphology, mono-dispersed Ru nanoparticles, and strong metal-support interaction (MSI) was successfully constructed. Furthermore thus-obtained Ru-Ni3N/NiO-based EWS devices can realize an industrial current density of 1000 mA cm−2 at 1.74 V and 1.80 V under alkaline pure water and seawater conditions, respectively. Additionally, high durability of 1000 h (@ 500 mA cm−2) can also be achieved in the alkaline pure water EWS device.
Potential in vitro anti-periodontopathogenic, anti-Chikungunya activities and in vivo toxicity of Brazilian Red Propolis
Authors: Silva Nagela Bernadelli Sousa , Souza Jonathan Henrique , Santiago Mariana Brentini , Aguiar Jhennyfer Rodrigues Silva , Martins Daniel Oliveira Silva , Silva Rafael Alves , Santos Igor Andrade , Jardim Ana Carolina Gomes , Pedroso Reginaldo Santos , Ambrósio Sergio Ricardo , Veneziani Rodrigo Cassio Sola , Bastos Jairo Kenupp , Pires Regina Helena , Martins Carlos Henrique Gomes 
Published: August 2022

Abstract
Bacterial and viral infections are serious public health issue. Therefore, this study aimed to evaluate the antibacterial, antibiofilm and antiviral potential of the Brazilian Red Propolis (BRP) crude hydroalcoholic extract, fractions, and isolated compounds, as well as their in vivo toxicity. The antibacterial activity was evaluated by determining the Minimum Inhibitory Concentration (MIC) and the antibiofilm activity by determining the Minimum Inhibitory Concentration of Biofilm (MICB50). The viable bacteria count (Log10 UFC/mL) was also obtained. The antiviral assays were performed by infecting BHK-21 cells with Chikungunya (CHIKV) nanoluc. The toxicity of the BRP was evaluated in the Caenorhabditis elegans animal model. The antibacterial assays provided MIC values ranging from 1.56 to > 400 µg/mL for the BRP crude hydroalcoholic extract, fractions, and isolated compounds. The BRP crude hydroalcoholic extract, oblongifolin B, and gutiferone E presented MICB50 values ranging from 1.56 to 100 μg/mL against monospecies and multispecies biofilms. Neovestitol and vestitol inhibited CHIKV infection by 93.5 and 96.7%, respectively. The tests to evaluate toxicity in C. elegans demonstrated that the BRP was not toxic below the concentrations 750 μg/mL. The results constitute an initial step for further studies of BRP as an alternative approach for treating various infectious diseases.
Detection of Genetic Markers Involved in Metastatic Colorectal Carcinoma to Lymph Nodes
Authors: Aridi Tarek , El-Kurdi Abdullah , Khoueiry Pierre , Fakhruddin Najla , Mahfouz Rami , Zaatari Ghazi 
Published: August 2022

Abstract
Background
Locoregional lymph node metastasis represents the first step of metastasis in colorectal carcinomas (CRC). Identifying genetic mutations that may promote metastasis will help optimize the treatment of patients at risk of lymph node metastasis.
Method
Out of 43 identified consented cases of CRCs with and without corresponding metastasis to lymph nodes; 5 cases of CRC with lymph node metastasis were retrieved and matched with another 5 cases of CRC with negative lymph node metastasis. Whole exome sequencing was performed on the primary CRC and their corresponding lymph node metastasis; their genetic profile was compared to the whole-genome sequence of glioblastoma multiforme.
Results
115 variant mutations affecting 110 genes were identified. Focusing on variants with significant biological consequences, 31 of these variant mutations affecting 31 genes with putative role in CRC metastasis were selected. These variants are annotated as missense, splice site or “in frame deletion”.
Conclusion
The identified mutations may be further evaluated clinically as cancer markers for patients at risk for lymph node metastasis.
Macrophytes and water quality in a large Baltic lagoon: relevance, development and management perspectives
Authors: Schernewski Gerald , Friedland Rene , Paysen Simon , Bucas Martynas , Dahlke Sven , Weber Mario 
Published: August 2022

Abstract

We combine historical and recent monitoring data with modeling to get a better insight into water quality development of the large Oder/Szczecin Lagoon and especially the role of macrophytes. Data indicates that the system is eutrophic for centuries and a naturally eutrophic system. During the last decades, external nutrient loads decreased but keep the system in a eutrophic state. The systems primary production is limited by light and nitrogen and cannot be sufficiently managed by external nutrient load reductions. We consider 36% macrophyte coverage of the lagoon area as potential historical maximum. Despite its shallowness the lagoon was never a macrophyte dominated, clear water system. About 31% of the lagoon area would be covered by macrophytes in a good ecological status according to the Water Framework Directive. However, the existing water transparency targets seem too ambitious and not realistic. Changes in macrophyte coverage on water quality are restricted to near shore areas and hardly affect the open lagoon. Existing models require an improved representation of water transparency and effects on macrophyte colonization depth. Presently the patchy macrophyte coverage is only about 12% of the lagoon area. This low coverage and a relatively poor species composition results in a non-satisfactory state classification. However, ecologically valuable angiosperms and charophytes seem to recover. A strict avoidance of mechanical disturbances could be a measure to support macrophyte re-colonization. A systematic improvement of piscivorous fish stocks may be a supporting measure to reduce eutrophication.
A Mathematical Model of Japanese Encephalitis Transmission with Saturated Incidence and Treatment Function
Authors: Goswami Naba Kumar , Hussain Jamal 
Published: August 2022

Abstract
The manuscript analyzes a deterministic compartmental mathematical model for the dynamics of the transmission of Japanese encephalitis with saturated incidence rate and saturated treatment function. For regions with limited resources, the incorporation of the saturation therapy function is ideal. We add the logistic differential equation to the model along with the pig carrying capacity and assume that the pig population is infected and growing logistically in the environment. The model’s different equilibria are thoroughly studied and analysed for their stability. The model’s basic reproduction number, R0, is computed. The model shows the occurrence of backward bifurcation for R0 less than one, suggesting that when R0 less than one is not entirely sufficient for eradicate the disease for the population. The basic reproduction number’s key parameters’ sensitivity analysis is presented. The basic reproduction number R0 can change significantly with even a minor modification in any of these crucial parameters. Using real data, we used curve fitting through using least squares method, contour plots, and box plots to show the number of infected patients in two different Indian states. In order to support our analytical findings, numerical simulation is shown.
Access to science for junior doctors and neurologists in French-speaking countries: challenges and future perspectives
Authors: Ali Leila , Lanore Aymeric , Mamadou Zakaria , Lemahafaka Glorien , Touma Lahoud , Ibrahim Michella , Piat Capucine , Bila Eric Gueumekane , Accorroni Alice , Mhanna Elsa , Chouiten Abdelkader , Balcerac Alexander 
Published: August 2022

AbstractBackground and objectives:Science education developed historically from experimentation science to model theories of cognition. Digitization in medical science brought about new challenges of access to science for education and publishing. The aims of our study are to describe the differences in access to science and scientific publications for junior doctors and neurologists in French-speaking countries, and to identify difficulties and their association with demographic, workplace, social and personal factors.Methods:We performed a thirty-nine-question-survey to define access to science from two major perspectives, scientific education, and scientific publishing. We explored scientific education through demographic data and scientific resources (institutional, online, personal), and evaluated scientific publishing of thesis and articles according to demographic data, number of publications, and difficulties with publishing.Results:Our study identified personal and environmental factors interfering with scientific access, some of which are attributed to junior doctors and neurologists in French-speaking countries as age, gender, ethnicity, income and work and life-balance. A heavier load was observed for African scientists. The main scientific resources used for medical education were Journals 82,9%, Congresses 79,4%, and Sci-Hub 74,5%. Junior scientists are facing major difficulties in writing in science due to linguistic (56,5%), financial (64,7%), scientific (55,3%), and logistic (65,3%) factors.Conclusions:This paper suggests that ethnicity, age, gender, and work-life balance can all impact access to science at different levels. The challenge now is to create digital platforms that modernize medical education and help build bridges for research within diverse scientific communities.
Optical vortex induced spatio-temporally modulated superconductivity in a high-Tc cuprate
Authors: Toda Yasunori , Tsuchiya Satoshi , Yamane Keisaku , Morita Ryuji , Oda Migaku , Kurosawa Tohru , Mertelj Tomaz , Mihailovic Dragan 
Published: August 2022

Abstract
In recent years, novel photoinduced phase transitions using structured pulse beams have been proposed to explore new collectively ordered electronic states and their functionalities inaccessible by conventional laser beams. The spatial mismatch between the electron system and the optical field have limited the experimental realization of spatially controllable photoinduced phase transitions. In this study, we experimentally realized a spatially modulated photoinduced superconducting (SC) state in a cuprate superconductor using optical vortex (OV) ultrafast pulses. Because the SC quenching is instantaneously driven by photoexcited quasiparticles, the OV beam profile can be transferred to the electron system without spatial matching constraints. The measurements were carried out using three-pulse time-resolved spectroscopy, in which an intense OV pulse was used for coherent quenching of superconductivity and its time evolution was observed by the pump-probe spectroscopy. The transient response after quenching by the ring-shaped OV pulse shows a spatially localized SC that remains unquenched at the dark core of the OV for a few picoseconds. We also demonstrate that OV-induced localized SC can improve the spatial resolution of transient SC imaging by a principle that is similar to that of super-resolution microscopy. The demonstration of spatially controlled photoinduced phase transitions is significant for establishing a new method for exploring novel solid-state physics and device applications.