bluuebunny/crossref_metadata_2025_split huggingface dataset:
Terahertz Spoof Surface Plasmon Polariton Structure for High-precision Gas Sensor Technology
Authors: NAJAFY VAHID , ABBASI-ARAND BIJAN , HESARI-SHERMEH MARYAM 
Published: May 2024

Abstract

In the realm of sensor technology, it is a significant challenge to accurately identify and differentiate sample materials in the gas phase, especially when they have closely similar refractive indices. A promising solution in the THz range is the use of plasmonic spoof surface structures configured in an Otto arrangement. This configuration increases sensitivity by amplifying the trapped fields within the periodic structure and the sample material. This represents a remarkable improvement over the conventional binary-grating structure (CBGS) model with the proposed multilevel meta-grating structure (MMGS) sensor. An in-depth analysis of gas samples shows a remarkable increase in sensitivity to a small refractive index change up to by 11.4 (TH/RIU). The refractive index of gas sample is more sensitive to both pressure and molecular density. The proposed setup has been meticulously designed to maximize reflectance within the sensor's reflectance spectrum. This has been achieved by precisely adjusting the air gap distance, effectively minimizing the impact of sample material density. The new proposed design proves to be particularly suitable for effectively detecting different gas with closely spaced refractive indices. An investigation of four common and well-known gas shows a minimum resolution of 5 GHz for resonance peak positions. The results are validated by simulating the reflection spectrum using the semi analytical rigorous coupled wave analysis (RCWA) method. Moreover, the eigenmode solver in the CST-Studio software is used to generate dispersion curves. The proposed structure is very useful for high precision sensors with a small refractive index change.
Effects of different doses of antenatal betamethasone alone or in combination with magnesium sulfate exposure on hearing in preterm infants: A retrospective case–control study
Authors: Wang Yuji , Chang Jing , Huang Yan 
Published: May 2024

Abstract

Introduction:
Hearing impairment is highly prevalent worldwide, and the proportion of preterm infants with severe or worse is as high as 50%. At present, there is a lack of effective prevention preventive measures and drug treatments for hearing impairment. The objective of this study was to explore the effects of different doses of antenatal betamethasone alone or in combination with magnesium sulfate exposure on hearing in preterm infants. And provides a reference for hearing prevention in preterm infants.
Methods
This was a retrospective case‒control study of preterm infants who diagnosed hearing loss. According to the principles of “similar gestational age (± 7 days)” and “diagnosis of sepsis”, each infant with hearing loss was matched 4 infants with normal hearing (control group). Multivariate conditional logistic regression was used to analyze the effect of antenatal betamethasone and magnesium sulfate treatment on hearing in preterm infants.
Results
In total, 72 preterm infants were diagnosed with hearing loss. The results of multivariate conditional logistic regression analysis of the effects of different betamethasone doses on hearing in preterm infants (Model 1) showed that the risk of hearing loss was 0.29 times lower in preterm infants who received 2 doses of betamethasone than without use. There was no significant difference in the risk of hearing loss between preterm infants who received 1 dose or > 2 doses (P > 0.05). The results of multivariate conditional logistic regression analysis of the effects of different doses of antenatal betamethasone alone or combined with magnesium sulfate on hearing in preterm infants (Model 2) showed that the risk of hearing loss in preterm infants treated with 2 doses of betamethasone combined with magnesium sulfate was 0.21 times lower than without use. The risk of hearing loss was 4.46 times greater in preterm infants treated with > 2 doses of betamethasone combined with magnesium sulfate than without use. Moreover, there was no significant difference in the effect of other medication doses on the hearing outcome of preterm infants (P > 0.05).
Conclusions
The effect of antenatal betamethasone treatment on the hearing of preterm infants is related to medication doses and the usage of magnesium sulfate.
Contrastive Learning for Next-basket Recommendation
Authors: Zhu Shaoqiang , Wang Qiang , Zhang Kejia , Pan Haiwei 
Published: May 2024

Abstract

Next-basket recommendation (NBR) aims to recommend items to a user based on his/her historical basket sequence. Existing methods typically employ neural networks to model a user's historical basket sequence. While achieving promising results, these methods overlook the data sparsity problem inherent in NBR. Data sparsity problem prevents models from obtaining sufficient training. To alleviate the data sparsity problem in NBR, we propose a multi-task learning framework named Contrastive Learning for Next-basket Recommendation (CL4NBR). CL4NBR introduces a contrastive learning task alongside the original next-basket prediction task, leveraging self-supervised signals from users' historical basket sequences. This approach enables the generation of more effective user representations, leading to more accurate recommendation results. To obtain self-supervised signals from users' basket sequences, three data augmentation methods for basket sequences are designed in this study. Furthermore, CL4NBR utilizes the repeated purchase information of users when predicting their next baskets. Experimental evaluations conducted on four public datasets demonstrate that CL4NBR outperforms state-of-the-art methods.
Numerical Analysis of Slip Phenomena on Heat and Mass Transfer in a Vertical Channel with immiscible Micropolar and Viscous Fluids with variable viscosity
Authors: Srin G. , Gosty Vanaja , Babu B. Suresh 
Published: May 2024

Abstract

This research delves into the intricate dynamics of heat and mass transfer within a vertical channel comprising immiscible micropolar and viscous fluids. The study incorporates the influence of slip phenomena, specifically examining velocity, thermal, and diffusion slips, which significantly impact the overall transport processes. The investigation employs a rigorous numerical approach, employing the Runge-Kutta numerical method to simulate and analyze the complex interactions within the system. The integration of slip effects adds an additional layer of complexity to the analysis, offering insights into how these phenomena influence the overall heat and mass transfer characteristics. The findings of this research enrich our comprehension of fluid dynamics, offering insights for enhancing processes across diverse engineering applications that entail Microscopic-scale fluids and sticky fluids in a vertical channels. Through analysis, dimensionless velocity, angular velocity, thermal energy, and diffusion are scrutinized beyond the pertinent parameters and visually represented to enable meaningful insights. Bar charts also depict important elements of heat and mass transfer, such as shear stress, Nusselt number, and Sherwood number values, making it easier to evaluate the rates of transfer across the channel's surface.
Nanoparticle encapsulation to enhance seed treatment efficacy against Fusarium graminearum
Authors: Marcos Fernando , Narasimhan Balaji , Mullis Adam , Munkvold Gary 
Published: May 2024

Abstract

The importance of seed treatments has increased rapidly in the past decade, mainly due to their high efficacy controlling early-season pests and diseases, and their limited environmental impact. Chemical seed treatments require a smaller amount of pesticide use and reduce environmental spread compared to foliar or soil applications; similarly, selection pressure for the development of resistance in the pest population is reduced. However, the rapid dissipation of seed treatment active ingredients after planting is associated with unpredictable duration of control, limiting the performance of seed treatment technology. Polyanhydrides are synthetic biodegradable polymers that can be used to deliver active ingredients or pharmaceuticals in pathological systems. They can provide a steady and sustained release of active compounds, enhancing the treatment of diseases caused by pathogens. Our study consists of experiments using polyanhydride nanoparticle-encapsulated fludioxonil and thiabendazole (two fungicides commonly used against Fusarium graminearum) at different rates on maize and soybean. We employed both rolled-towel assays (simulating a seedborne infection) and delayed emergence assays (simulating a soilborne infection). In the rolled-towel assay, nanoparticle-encapsulated fungicides performed similarly to standard formulations. However, when emergence was delayed for one week by low temperature, nanoparticle-encapsulated fungicides showed superior control over standard formulations. For longer emergence delay treatments, nanoparticle and conventional fungicide formulations showed similar levels of control. Polyanhydride encapsulated seed treatments showed the potential to prolong effectiveness of active ingredients when emergence is delayed due to cold temperatures, a very common situation in temperate maize production areas, such as the American Midwest.
Effects of some anti-ulcer and anti-inflammatory natural products on cyclooxygenase and lipoxygenase enzymes: insights from in silico analysis
Authors: Metuge Jonathan A. , Betow Jude Y. , Bekono Boris D. , Tjegbe Mathieu Jules Mbenga , Ndip Roland N. , Ntie-Kang Fidele 
Published: May 2024

Abstract

Gastric and duodenal ulcers are increasingly becoming global health burdens. The side effects of conventional treatments such as non-steroid anti-inflammatory drugs (NSAIDs), proton pump inhibitors (PPIs), antibiotics, histamine H2 receptor antagonists (H2RAs), and cytoprotective agents have necessitated the search for new medications. Plants are a rich source of active metabolites and herbal medicines have been used in the treatment of ulcers and cancers. In this study, we used in silico methods to evaluate the effects of some anti-ulcer and anti-inflammatory phytochemicals on some key enzymes, cyclooxygenase (COX), and lipoxygenase (LOX) which are implicated in the protection and destruction of the gastric mucosa. Five compounds, rhamnetin, kaempferol, rutin, rosmarinic acid, and chlorogenic acid were identified to putatively bind to cyclooxygenase 2 (COX-2) and 5-lipoxygenase (5-LOX) but not to cyclooxygenase 1 (COX-1). The interaction mechanisms between these phytochemicals and the target proteins are discussed. The drug metabolism, pharmacokinetics, and toxicity of the compounds have been evaluated to assess their suitability as potential next-generation anti-ulcer and anti-inflammatory drugs.
Changes in the Chemical Composition of Polyethylene Terephthalate Under UV Radiation in Various Environmental Conditions
Authors: Rostampour Sara , Cook Rachel , Jhang Song-Syun , Li YueJin , Fan Chunlei , Sung Li-Piin 
Published: May 2024

Abstract

Polyethylene terephthalate has been widely used in the packaging industry. Degraded PET micro-nano plastics could pose public health concerns following release into various environments. This study focuses on PET degradation under ultraviolet radiation using the NIST SPHERE facility at the National Institute of Standards and Technology in saturated humidity (i.e., ≥ 95 % relative humidity) and dry conditions (i.e., ≤ 5 % relative humidity) with varying temperatures (30 °C, 40 °C, and 50 °C) for up 20 days. ATR-FTIR was used to characterize the chemical composition change of degraded PET as a function of UV exposure time. The results showed that the cleavage of the ester bond at peak 1713 cm-1 and the formation of the carboxylic acid at peak 1685 cm-1 are significantly influenced by UV radiation. Furthermore, the formation of carboxylic acid was considerably higher at saturated humidity and 50 °C conditions compared to dry conditions. The ester bond cleavage was also more pronounced in saturated humidity conditions. The novelty of this study is to provide insights into the chemical degradation of PET under environmental conditions, including UV radiation, humidity, and temperature. The results can be used to develop strategies to reduce the environmental impact of plastic pollution.
Exploring Linux Algorithmic Approach as a Standard Network Configuration Language Model for Network Devices
Authors: Kaniwa Freeson 
Published: May 2024

Abstract

Network device configuration is a complex task that relies on vendor-specific command languages, resulting in a steep learning curve for network engineers. This paper proposes adopting Linux networking commands as a standard configuration language across hardware vendors. We examine the background and precedent for this approach, analyze the benefits and challenges, and present a detailed architecture. We demonstrate the feasibility through rigorous implementation examples and experimental evaluation. Results show that the Linux-based approach can significantly reduce configuration complexity and errors while providing performance comparable to vendor-specific Command Line Interfaces (CLIs). We discuss the implications of these findings and call for further research and standardization efforts around Linux-based network configuration. Widespread adoption of Linux networking commands could accelerate network automation, improve operational efficiency, and simplify engineer training.
Improved Computing Performance for Algorithm Finding the Shortest Path for all-pair in the MapReduce architectures
Authors: Lau Nguyen Dinh , tuan Le Thanh 
Published: May 2024

Abstract

The problem of finding All Pair Shortest Path (APSP). APSP is performed on many structures such as: MPI, OpenMP, Cuda, …. When the input data is large, we need to find ways to improve computing power to reduce calculation time for the APSP algorithm. In this paper, we present a contribution for the All-Pair Shortest Path algorithm (APSP) in the MapReduce architectures. The MapReduce algorithm has two functions Map and Reduce. There receive key/value pairs based on an adjacency list. Algorithm perform in MapReduce and our results prove that the proposed approach improved Computing Performance for Algorithm Finding the Shortest Path for all-pair.
Selective Cytotoxicity of Anthocyanins on Breast Cancer Cells
Authors: Catacutan Mary Krystelle , Kim Tae-Yeon , Lee Sungmun 
Published: May 2024

Abstract

Background Anthocyanins, one of the subclasses of flavonoids, are water-soluble phytochemicals and essential pigments in vegetables or fruits, and there is significant interest due to their potential health benefits. Anthocyanins have demonstrated anticancer effects such as inhibition of cell proliferation, and stimulation of apoptosis. Here, we investigated that anthocyanins could selectively inhibit the proliferation of breast cancer cells. Methods Anthocyanins were extracted from four different vegetables (red cabbage, red onion, black bean, and eggplant), and five different fruits (pomegranate, raspberry, blueberry, blackberry, and red grape), and cytotoxicity of all anthocyanins were measured. Results Among nine anthocyanins, blueberry anthocyanins were the best candidate to be toxic to only breast cancer cell lines such as MDA-MB-231 and MCF-7, but not to be toxic to other type of cells such as THP-1 and Caco-2 cell lines. From transwell cell migration assay, blueberry anthocyanins reduced the migration of MDA-MB-231 by 31.7%. 3D-cultured spheroid experiment demonstrated that blueberry anthocyanins reduced the cell density of spheroids, and enhanced the cell toxicity of spheroids. Conclusions The results of this research enhanced the understanding of the selective anticancer effect of blueberry anthocyanins on MDA-MB-231 and MCF-7 breast cancer cell lines.
Motion-induced blindness shows spatial anisotropies of conscious perception
Authors: Sárközy András , Robinson Jonathan , Kovács Gyula 
Published: May 2024

Abstract

Polar angle asymmetries (PAAs), the differences in perceptual experiences and performance across different regions of the visual field are present in various paradigms and tasks of visual perception. Currently, research in this area is sparse, particularly regarding the influence of PAAs during perceptual illusions, highlighting a gap in visual cognition studies. We aim to fill this gap by measuring PAAs across the visual field during an illusion applied to test conscious vision widely. Motion-induced blindness (MIB) is an illusion when a peripheral target disappears from consciousness as the result of a continuouslymoving background pattern. During MIB we separately measured the average disappearance time of peripheral targets in eight equidistant peripheral visual field positions. Our results indicate a significant variation in MIB disappearance times as a function of peripheral target position. Specifically, we found shorter disappearance times along cardinal compared to oblique directions, and along the horizontal compared to the vertical meridian. Our results suggest specific consistencies between visual field asymmetries and conscious visual perception.
Network pharmacology based virtual screening of active constituents of moringa oleifera and the molecular mechanism against breast cancer.
Authors: pisal Harshad , Badhe Pravin , Mali Prashant D. 
Published: May 2024

Abstract

Moringa oleifera extract consists of active phytoconstituent which can have potential to produce therapeutic effects against cancer. In the study we investigated the molecular mechanism of chemical constituents of moringa against targets in Breast Carcinoma using network pharmacology and virtual screening Network pharmacology is a systematic approach to identify potential targets and pathway networks associated with disease pathology. The steps in network pharmacology includes text mining in which we retrieve multiple genes/proteins associated with disease from different bioinformatics databases. Then enrichment analysis to obtain top pathways and associated targets with those pathways in disease pathway and construction of the network and its analysis using software and web based tools. The obtained targets were further screened by molecular docking for their binding characteristics. In the study, moringa extract was studied for antimitotic activity against meristematic cells.
A systematic review and meta-analysis on the Nephroprotective activity of Naringin based on pre-clinical experimental evidence
Authors: Das Akanksh , Bhardwaj Vibhu , Viswanatha Gollapalle Lakshminarayanashastry , H Shylaja , S Hemavathi 
Published: May 2024

Abstract

This systematic review and meta-analysis aimed to summarize and conclude on the therapeutic benefits of naringin in various kidney diseases based on preclinical evidence. Online searches were conducted using electronic databases such as PubMed/Medline and Google Scholar, focusing primarily on the role of naringin in various experimental animal models of kidney diseases. Based on the inclusion and exclusion criteria, 27 studies were selected. The meta-analysis revealed that naringin could significantly alleviate experimental models of nephrotoxicity induced by drugs, chemotherapy, chemicals, and oxidative stress through multiple mechanisms such as antioxidant (ROS/RNS pathways), anti-inflammatory (COX-2, IL-6, TNF-α, NF-κB pathways), and suppression of apoptotic factors (BCL-2, BAX, Caspases). Furthermore, these changes at the cellular and molecular levels were observed as improvements in the structure, function, and physiology of the kidney following naringin treatment. In conclusion, this systematic review and meta-analysis support the available scientific evidence regarding the therapeutic benefits of naringin in the management of drug-induced, chemotherapy-induced, chemical-induced, and oxidative stress-induced kidney diseases.
Assessing water poverty in Eastern Nepal: A study of selected Palikas across different districts
Authors: Yadav Jangbahadur Prasad , Giri Birendra , Karki Kaji Ram , K. C. Bishal 
Published: May 2024

ABSTRACT

‘Water poverty’ is a hidden crisis in selected Palika's of Nepal, arising from factors such as population growth, climate change, land use alterations, and erratic infrastructure development, significantly impacting water resource quantity and quality. Addressing this requires location-specific indicators like the Water Poverty Index (WPI) for effective water resource planning. This study investigates water poverty causes in the area, analyzing five WPI components: Access, Resource, Usage, Capacity, and Environment. Introducing 10 WPI indicators and 13 context-specific variables tailored to Nepal, the research assesses water poverty across different spatial scales (metropolitan, sub-metropolitan, municipality, and rural municipality). The results show WPI scores ranging from 62.96 to 72.77, highlighting the need for targeted policy interventions. While no clear trend emerges across scales, higher resource and access scores prevail in all areas, with use, environment, and capacity scores higher in metropolitan and sub-metropolitan regions. These disparities underscore the need for tailored policies and management plans across scales to improve water poverty in the studied regions.
Green Synthesis of Zinc Oxide NPs as a New Catalyst for the Synthesis of
Imidazo[2,1-b]quinazoline Derivatives with Docking Validation as Aurora Kinase
(AKI-001) Inhibitors
Authors: Osama Yasmen , Abdel-Latif Ehab , Metwally Heba M. , El-Rayyes Ali , Khatab Tamer K. 
Published: May 2024

Abstract:
As natural capping reagents, flaxseed gel, caprylic/capric triglyceride, aloe vera,
and propylene glycol were utilized in the synthesis of ZnO-NPs in the current study. The
synthesized ZnO NPs structure was characterized by Transmission Electron Microscopy
(TEM), Fourier Transform Infrared (FT-IR), and X-ray Diffraction (XRD). The prepared
ZnO-NPs were used as an efficient catalyst for the production of a new series of fused polynuclear
heterocyclic system-based imidazoquinazoline by multicomponent reaction. The
reaction was initiated by mixing 2-aminobenzimidazole, aryl/hetaryl aldehydes, and betanaphthol
under solvent-free conditions at 60-70°C in the presence of a catalytic amount of
the synthesized ZnO-NPs. As demonstrated by molecular docking, the prepared ligands (4,
7, 8, 9, and 11) exhibited outstanding validation as aurora kinase inhibitors in comparison to
AKI-001, the prototype pentacyclic inhibitor.