bluuebunny/crossref_metadata_2025_split huggingface dataset:
A non-enzymatic electrochemical sensor based on NiCoSe2/rGO nanosheets for nanomolar range detection of Malathion
Authors: VP Akhin , Sriniva Ananda Kumar 
Published: February 2024

Abstract
Pesticide contamination in vegetables and fruits severely affects the quality of human life. This can be alleviated with a low cost and efficient sensor. Herein, we describe the synthesis of a NiCoSe2/rGO nano-composite sensor via hydrothermal method to detect Malathion. Scanning electron microscopy (SEM), Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), Fourier Transform IR spectroscopy (FT-IR) and X-ray Photoelectron Spectroscopy (XPS) did the material characteristics of nano-composite. The electrochemical activities of the nano-composite towards Malathion were investigated by Cyclic Voltammetry (CV), Electrochemical Impedance Spectroscopy (EIS), Differential Pulse Voltametry (DPV) and Chrono-amperometry (CA). The NiCoSe2/rGO nano-composite excellentlydetects Malathion and thus exhibiting its, excellent conductivity, electron transport and high surface area. The developed NiCoSe2/rGO sensor has a nano-molar range Limit of Detection (LOD) of Malathion with wide linear range from 64nM to 600 nM. Furthermore, the stability and effect of interfering species studies revealed the fact that interfering species could not make any significant current response in chrono-amperometry.
Autoimmune-like Drug-induced Liver Injury Caused by Fenofibrate, Atorvastatin, and Ezetimibe: A Case Report and Literature Review
Authors: Hu Kejie , Wang Yufang , He Yahong , Xiong Jiabin 
Published: February 2024

Abstract
In recent years, drug-induced liver injury (DILI) has become a significant concern due to its potential for severe liver damage. We present a case report of autoimmune-like DILI caused by the concomitant use of fenofibrate, atorvastatin, and ezetimibe. Glucocorticoid therapy has been proven to be effective. The patient was monitored for an additional 3 years, and no changes were observed. Additionally, we provide a comprehensive literature review on similar cases to enhance our understanding of this rare adverse drug reaction. lay summary This case highlights the importance of considering autoimmune-like DILI as a potential diagnosis in patients presenting with liver injury and positive autoantibodies. Healthcare professionals should be aware of the potential hepatotoxicity associated with fenofibrate, atorvastatin, and ezetimibe. Early recognition and prompt withdrawal of the offending medications, along with appropriate immunosuppressive therapy, can lead to favorable outcomes in patients with autoimmune-like DILI.
An Intelligent Approach for Multi Disease Specific Plant Corpora Creation And Plant Name Extraction From Biomedical Literatures
Authors: Balasubramanian M. P. , SenthamilSelvan P. 
Published: February 2024

Abstract
Indian Medicinal plants play an important role in the treatment of various diseases disputedly most of the medicinal plants are available as an unstructured format in biomedical literatures. Since the growth of biomedical literature tripling every year despite there is no proper text mining tool to automatically extract the medicinal plants from the works of literature and to automatically create the disease-specific plant corpora. Our proposed algorithm utilizes four methods to automatically create the disease-specific plant corpus by extracting the plant names from the multi-disease biomedical literature automatically. The first method uses the multi-keyword indexing to create the multi-disease corpus by referring to the appropriate disease based biomedical articles and the second method uses the rule-based system based on python techniques to automatically extract the plant names and chemical compounds from the multi-disease based biomedical works of literature. The third method uses the fuzzy techniques to extract unique plants from multiple disease articles. The fourth method uses the Tf-Idf to rank the top- ranked plants extracted from the multiple diseases. Our proposed model is implemented for four diseases namely Cancer, Diabetes, Arthritis, and Fever. The proposed model is validated by using the human inputs and our model outperforms the state of art approach by scoring the Accuracy value of 95% average for Automatic disease corpus creation and Automatic plant extraction from biomedical works of literature abstracts and results.
MP-DGCNN for the Semantic Segmentation of Chinese Ancient Building Point Clouds
Authors: Dong Youqiang , Hou Miaole , Zhou Caochenyu , Ji Yuhang , Hao Wuchen 
Published: February 2024

Abstract

Point cloud semantic segmentation is a key step in the scan-to-HBIM process. In order to reduce the information in the process of DGCNN, this paper proposes a Mix Pooling Dynamic Graph Convolutional Neural Network (MP-DGCNN) for the segmentation of ancient architecture point clouds. The proposed MP-DGCNN differs from DGCNN mainly in two aspects: (1) to more comprehensively characterize the local topological structure of points, the edge features are redefined, and distance and neighboring points are added to the original edge features; (2) based on a Multilayer Perceptron (MLP), an internal feature adjustment mechanism is established, and a learnable mix pooling operator is designed by fusing adaptive pooling, max pooling, average pooling, and aggregation pooling, to learn local graph features from the point cloud topology. To verify the proposed algorithm, experiments are conducted on the Qutan Temple point cloud dataset, and the results show that compared with PointNet, PointNet++, DGCNN, and LDGCNN, the MP-DGCNN segmentation network achieves the highest OA and mIOU, reaching 90.19% and 65.34%, respectively.
5,6-Dihydro-1H-pyridin-2-ones as potent inhibiters of HCV NS5B Polymerase: A Free Energy and Non-covalent Perspective
Authors: Pandey Anwesh 
Published: February 2024

Abstract
HCV (Hepatitis C virus) is responsible for various clinical conditions ranging from acute viral hepatitis to chronic liver diseases including liver cirrhosis eventually leading to liver cancer. The inhibition of HCV NS5B polymerase is a major step towards design of anti-HCV drugs. This study is devoted to three novel potential inhibitors of HCV NS5B polymerase using quantum chemical and molecular docking techniques. The energy gap between HOMO and LUMO suggest that the Mol-1 is more reactive than Mol-2 & Mol-3. Various electronic parameters of all the three molecules have been calculated and compared. Finally, the interaction & inhibition activities of these compounds with several target PDB IDs of NS5B polymerase enzyme with the help of molecular docking studies was explored. The result of docking studies suggest that these compounds can be modified for emerging and effective potent inhibitor of HCV NS5B polymerase and can be useful in the design of novel anti-HCV drugs with similar scaffolds.
Modelling impacts of a salt and sugar tax on intra-category food substitutions, BMI and environmental footprints
Authors: Colombo Patricia Eustachio , Green Rosemary , Espinosa Sarah Nájera , Scarpa Giulia , Saha Ria , Scheelbeek Pauline 
Published: February 2024

Abstract
Purpose
Taxes on unhealthy foods can help improve population health in the United Kingdom (UK), but the health effects of food substitutions resulting from these taxes are often unclear. We investigated the potential impacts of a salt and sugar tax on hypothetical intra-category food substitutions, cost, body-mass index (BMI), and environmental footprints.
Methods
Purchase panel data from Kantar (2017) were used to determine the most popular foods high in salt or sugar within eight ‘salt-intensive’/‘sugar-intensive’ food categories. Within food categories, the most popular lower salt (≤1.5g salt/100g product) and lower sugar (≤22.5g sugar/100g product) substitutes were also identified. Hypothetical swaps between high salt/sugar foods and lower salt/sugar substitutes were explored, focusing on changes to cost, caloric intake and BMI, and environmental impacts.
Results
The suggested intra-category substitutions were largely like-for-like and did not accrue an added overall cost to consumers. The substitutions reduced calorie intake by about 200kcal/day and lowered the prevalence of overweight and obesity in the UK from approximately 60-65% to about 40-45%. The proposed food substitutions led to a total reduction of -2.7Mt of greenhouse gases, ~ -500.000ha of land, -0.5km3 of blue water, -12km3 of scarcity weighted water, ~ -12.000t of phosphorus, and nearly -14.000t of sulphur dioxide over one year for the UK population due to reductions in calorie intake.
Conclusion
Food substitutions following a tax on salt and sugar could lead to significant benefits for health and the environment, without necessarily resulting in major changes to people’s expenditure on familiar salty and sugary snacks.
Impact of climate change on water resource potential and sediment yield of the Gibe III watershed, Omo-Gibe Basin, Ethiopia
Authors: Gebremichael Abiy , Kebede Asfaw , Woyessa Yali E. 
Published: February 2024

Abstract

The impact of climate change on the water resource potential of the Gibe III watershed, Omo-Gibe Basin, Ethiopia, was investigated using the Soil and Water Assessment Tool (SWAT) model and selected climate models of Coupled Model Intercomparison Project Phase 5 (CMIP5) for future projection. Because the Omo-Gibe Basin in general and the Gibe III watershed in particular was the source of hydropower generation, more work toward updating knowledge of climate change impact on it is required so as to manage the sustained use of the water resource and prevent sedimentation of the reservoir. High-resolution (0.25° × 0.25°) datasets of some general circulation models (GCMs) such as GFDL-ESM2M, MPI-ESM-MR, CSIRO-MK3-6-0, NorESM1-M, and MIROC5 were downloaded for six stations. After calibrating and validating the Soil and Water Assessment Tool (SWAT) model, the impact of climate change was simulated. Accordingly, the annual precipitation was expected to increase by 8.4 and 21.1% during 2050 and 2080, respectively; mean temperature was projected to increase by 1.85 and 2.8 °C in 2050 and 2080, respectively; the stream flow was expected to increase by 55.5 and 81% by 2050 and 2080, respectively, from the base period (1990–2017). The scenario of mean annual sediment yield would increase by 64.5 and 138% by 2050 and 2080, respectively. Therefore, actions toward reducing excess runoff production in the catchment and timely removal of sediment from the reservoir are required.
Are extreme floods on the Danube River becoming more frequent? A case study of Bratislava station
Authors: Leščešen Igor , Basarin Biljana , Pavić Dragoslav , Mudelsee Manfred , Pekarova Pavla , Mesaroš Minučer 
Published: February 2024

Abstract

In this study, strong and extreme flood events were analysed on the basis of long-term daily runoff records of winter and summer floods in the Danube River between 1876 and 2020, using the peaks-over-threshold method. Based on the results, the following conclusions can be made: (1) There is a downward trend in strong winter floods, but it is not statistically significant. Additionally, there is an upward trend in summer floods, but this is not statistically significant. (2) There are statistically significant upward trends in extreme events for both the winter and summer seasons. The results have implications for flood protection and disaster management on the Danube River. Regulation of assets in flood-prone areas is essential for minimising economic damage. Public awareness of increasing extreme summer floods is vital for prevention. This study suggests that effective flood risk analysis requires (i) a local- to regional-scale approach to account for spatial variability and (ii) advanced statistical tools for robust detection of climate extremes and estimation of their occurrence rates.
Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios: A novel approach and its implications for urban flood hazard mapping
Authors: Masoumi Maryam , Sarang Amin , Ardestani Mojtaba , Niksokhan Mohammad Hossein 
Published: February 2024

Abstract
Urban river flooding is a serious threat to cities that have altered their river buffer zones due to urbanization and climate change. This study aims to estimate the peak flow of urban rivers by considering the effects of climate change and debris flow on flood hazard. A novel approach is proposed that integrates hydrological, sedimentological, and hydraulic method and models to account for the influence of sediment volume, woody debris, and culvert blockage on peak flow estimation and flow parameters. The approach is applied to the Farahzad River basin in Tehran, Iran, using future data downscaled from a global climate model under the RCP8.5 scenario for 50- and 100-year return periods. The results show a significant increase in the peak flood discharge by nearly 3.2 times, the flood zone by 10–20%, the flood velocity by 15–30%, and the inundation depth by 10–40% due to climate change and debris flow scenarios. The study demonstrates the importance of considering multiple factors in estimating the peak flow of urban rivers and provides a useful tool for urban flood risk management.
Membrane distillation of wastewater: comparison of model and real organics
Authors: Habib Rasikh , Phuong Do Mai , Asif Muhammad Bilal , Jiang Guangming , Sivakumar Muttucumaru 
Published: February 2024

Abstract

Fouling behaviour in membrane distillation (MD) processes plays a crucial role in determining their widespread acceptability. Most studies have primarily focused on model organic foulants, such as humic acid (HA) and sodium alginate (SA). This study investigates the fouling of a polytetrafluoroethylene membrane in a direct contact MD (DCMD) using model organics (i.e., HA and SA) and real wastewater. The results indicated that the flux decline (5–60%) was only observed during the initial phase of the operation with model organic foulants. In contrast, real wastewater caused a gradual decline in flux throughout the experiment in both the concentrate (40%) and continuous (90%) modes. The study also found significant differences in the fouling layer morphology, composition, and hydrophobicity between the model organic foulants and real wastewater. Fourier transform infrared spectroscopy findings demonstrated that the fouling layer formed by real wastewater varied significantly from model organics, which primarily comprised of protein-like and polysaccharide-like functional groups. Finally, liquid chromatography–organic carbon detection revealed that the fouling layer of the MD membrane with real wastewater was composed of 40.7% hydrophobic and 59.3% hydrophilic organics. This study suggests that model organics may not accurately reflect real wastewater fouling.
Evolution and Trends of Aptamers in Cancer Research: A Bibliometric
Analysis of the Literature over the Last Decade
Authors: Jiang Song , Liu Mao-Sheng , Wang Ting , Zhang Kun-He 
Published: February 2024

Objective:
Aptamers are increasingly applied in cancer research. Here, we
have performed the first bibliometric analysis to demonstrate the evolution of aptamers
in cancer research over the past decade and to reveal future trends.

background:
none

Method:
Original articles and reviews on aptamers in cancer research published from
2013 to 2022 were retrieved from the Web of Science Core Collection database.
VOSviewer, CiteSpace, and R software were used for bibliometric analysis of the literature
and visualization of the results.

objective:
Aptamers have been increasingly applied in cancer research with encouraging results. However, no bibliometric studies have been conducted in this field. In this study, we performed a bibliometric analysis to demonstrate the evolution of aptamers in cancer research over the past decade and to reveal potential trends.

Results:
A total of 1627 eligible publications were analyzed. Annual and cumulative
publications have been found to be steadily increased. China was the most productive
country (884 publications) and Hunan University was the most productive institution
(97 publications). The United States had the highest level of international collaboration
(betweenness centrality = 0.55). Wei-Hong Tan was the most productive author (68
publications) and Craig Tuerk was the most cited author (387 citations). Analytical
Chemistry and Biosensors and Bioelectronics were the most influential journals in this
field. Three major themes were identified: aptamer selection techniques, aptamer-targeted
drug delivery, and aptasensors for cancer detection. The research hotspots have shifted
from aptamer selection, targeted drug delivery, molecular imaging, and biomarker detection
to electrochemical aptasensors and therapeutic applications. The future may focus
on high specificity and affinity in aptamer selection, aptasensor fabrication, aptamer-
targeted drug delivery, and therapeutic aptamer development.

method:
Original articles and reviews on aptamers in cancer research published from 2013 to 2022 were retrieved from the Web of Science Core Collection (WoSCC) database. VOSviewer, CiteSpace, and R software were used to perform a bibliometric analysis of the literature and generate knowledge maps.

Conclusion:
The field of aptamers in cancer research has been steadily developing over
the past decade, and future research may focus on aptamer application in cancer detection
and therapy and the improvement of aptamer selection.
A New Cell Model Overexpressing sTGFBR3 for Studying Alzheimer's Disease
In vitro
Authors: Chen Jiangxia , Zhou Lijun , Zhao Qingchun , Qi Zhentong 
Published: February 2024

Background::
Recent studies have suggested that abnormal microglial hyperactivation has an important
role in the progression of Alzheimer's disease (AD). sTGFBR3 (a shed extracellular domain of the
transforming growth factor type III receptor) is a newly identified target of microglia polarization dysregulation,
whose overexpression can cause abnormal accumulation of transforming growth factor β1 (TGF-β1),
promoting Aβ, tau, and neuroinflammatory pathology.

Objective::
The objective of this study is to develop and validate a new cell model overexpressing sTGFBR3
for studying AD in vitro.

Methods::
BV2 cells (a microglial cell derived from C57/BL6 murine) were used as a cell model. Cells were
then treated with different concentrations of lipopolysaccharide (LPS) (0, 1, or 0.3 μg/mL) for 12, 24, or 48h
and then with or without sodium pervanadate (100 μM) for 30 min. Next, the effect surface optimization
method was used to determine optimal experimental conditions. Finally, the optimized model was used to assess
the effect of ZQX series compounds and vasicine on cell viability and protein expression. Expression of
TGFBR3 and TNF-α was assessed using Western blot. MTT assay was used to assess cell viability, and enzyme-
linked immunosorbent assay (ELISA) was employed to evaluate extracellular TGF-β1 and sTGFBR3

Results::
LPS (0.3 μg/mL) treatment for 11 h at a cell density of 60% and pervanadate concentration (100 μM)
incubation for 30 min were the optimal experimental conditions for increasing membrane protein TGFBR3
overexpression, as well as extracellular sTGFBR3 and TGF-β1. Applying ZQX-5 and vasicine reversed this
process by reducing extracellular TGF-β1, promoting the phosphorylation of Smad2/3, a protein downstream
of TGF-β1, and inhibiting the release of the inflammatory factor TNF-α.

Conclusion::
This new in vitro model may be a useful cell model for studying Alzheimer's disease in vitro
Zuogui Pill Promotes Neurite Outgrowth by Regulating OPN/ IGF-1R/PTEN and Downstream mTOR Signaling Pathway
Authors: Liu Yan , Wu Dan , Yan Xiaohui , Xu Xinyu , Zhu Jian , Li Changyin , Feng Qinghua , Li Li , Wu Minghua , Li Wenlei 
Published: February 2024

Aim and Objective:
Zuogui pill (ZGP) is the traditional Chinese medicine for tonifying
kidney yin. Clinical and animal studies have shown that ZGP effectively enhances neurologic
impairment after ischemic stroke, which may be related to promoting neurite outgrowth.
This investigation aimed to prove the pro-neurite outgrowth impact of ZGP and define the underlying
molecular pathway in vitro.

Materials and Methods:
The major biochemical components in the ZGP were investigated using
UPLC-QTOF-MS. All-trans retinoic acid (ATRA) was employed to stimulate SH-SY5Y cells to
develop into mature neurons, followed by oxygen-glucose deprivation and reoxygenation damage
(OGD/R). Then the cells were supplemented with different concentrations of ZGP, and cell
viability was identified by CCK-8. The neurites' outgrowth abilities were detected by wound
healing test, while immunofluorescence staining of β-III-tubulin was used to label neurites and
measure their length. Western blot was employed to discover the changes in protein levels.

Results:
ZGP improved the cell viability of differentiated SH-SY5Y cells following OGD/R damage,
according to the CCK-8 assay. Concurrently, ZGP promoted neurite outgrowth and improved
neurite crossing and migration ability. Protein expression analysis showed that ZGP upregulated the
expression of GAP43, OPN, p-IGF-1R, mTOR, and p-S6 proteins but downregulated the expression
of PTEN protein. Blocking assay with IGF-1R specific inhibitor Linstinib suggested IGF-1R
mediated mTOR signaling pathway was involved in the pro-neurite outgrowth effect of ZGP.

Conclusion:
This work illustrated the molecular mechanism underpinning ZGP's action and offered
more proof of its ability to promote neurite outgrowth and regeneration following ischemic stroke.
Thiosemicarbazone-benzenesulfonamide Derivatives as Human Carbonic Anhydrases
Inhibitors: Synthesis, Characterization, and In silico Studies
Authors: Trawally Muhammed , Demir-Yazıcı Kübra , Angeli Andrea , Kaya Kerem , Akdemir Atilla , Supuran Claudiu T. , Güzel-Akdemir Özlen 
Published: February 2024

Introduction:
Carbonic anhydrases (CAs) are widespread metalloenzymes with the core function of
catalyzing the interconversion of CO2 and HCO3-. Targeting these enzymes using selective inhibitors has
emerged as a promising approach for the development of novel therapeutic agents against multiple diseases.

Methods:
A series of novel thiosemicarbazones-containing derivatives were synthesized, characterized, and tested
for their inhibitory activity against pharmaceutically important human CA I (hCA I), II (hCA II), IX (hCA IX),
and XII (hCA XII) using the single tail approach.

Results:
The compounds generally inhibited the isoenzymes at low nanomolar concentrations, with compound 6b
having Ki values of 7.16, 0.31, 92.5, and 375 nM against hCA I, II, IX and XII, respectively. Compound 6e exhibited
Ki values of 27.6, 0.34, 872, and 94.5 nM against hCA I, II, IX and XII, respectively.

Conclusion:
To rationalize the inhibition data, molecular docking studies were conducted, providing insight into
the binding mechanisms, molecular interactions, and selectivity of the compounds towards the isoenzymes.