bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phytochemical profiling, antioxidant and nephroprotective activities of Ziziphus lotus Lam. leaf extract in paracetamol-induced renal toxicity in rats and molecular docking analysis
Authors: Ukwubile Cletus Anes , Menkiti Nnamdi David , Ahuchaogu Ahamefula Anslem , Malgwi Troy Salvia , Dibal Nathan Isaac , Umeokoli Blessing Ogechukwu 
Published: July 2024

Abstract

Ziziphus lotus Lam. is a medicinal plant that is used mostly in Nigeria and parts of Africa for treating many diseases. The study was aimed at assessing the phytoconstituents, evaluating antioxidant and nephroprotective activities against paracetamol-induced renal toxicity in rats and molecular docking analysis of leaf extract. Liquid-liquid partitioning was carried out for most active fraction while column chromatography was used for the isolation of bioactive compounds and analyzed by the GC-MS. Total phenolic and total flavonoid contents were determined using standard methods, antioxidant activity by DPPH (2-2-diphenyl-1-picrylhydrazyl) and ABTS (2,2’azinobis (3ethyl-benzothiazoline-6sulfonic acid) scavenging assays and nephroprotective activity was evaluated at various extract doses in rats. Molecular docking studies were carried out using AutoDock Vina software. The GC-MS profiling of the extract revealed the presence of 18 compounds with five compounds showing the strongest activities. Molecular docking studies of the most bioactive compounds predicted potential antioxidant and nephroprotective effects. The results further revealed a total phenolic content of 408.12 mg GAE/g and a flavonoid content of 88.01 mg QE/g. It also showed significant (p < 0.05) antioxidant activities against DPPH and ABTS radical scavenging at concentrations 0 to 800 µg/mL. There were significant abnormal increases in the biochemical parameters before the treatment of rats, and these increases were reduced significantly on administration of the leaf extract. Our study showed that Z. lotus extract possessed antioxidant activity and reversed kidney toxicity, thus, justifying its uses as an ethnomedicinal remedy for kidney problems.
Analyzing Knowledge Networks in Sustainability: Towards Achieving Sustainable Development Goals
Authors: Kim Yong Jin 
Published: July 2024

Abstract

Background: Increasing interest in sustainability has prompted the need for targeted research to achieve Sustainable Development Goals (SDGs). This study aims to identify key research areas (RAs) within sustainability knowledge networks.
Methods: We analyzed 535 papers published between 2015 and 2020 in the “Green and Sustainable Science and Technology” category of the Web of Science. Employing co-occurrence, cluster, and topological analyses, we established a network of 73 keywords and 103 links.
Results: Cluster analysis revealed three primary RAs: renewable energy (aligned with SDG 7: Affordable and Clean Energy), circular economy (aligned with SDG 12: Responsible Consumption and Production), and carbon emissions (aligned with SDG 13: Climate Action). Topological analysis, through a matrix based on weighted degree centrality and weighted closeness centrality, further identified influential topics within each RA.
Conclusions: The findings highlight the critical role of targeted goal setting in sustainability initiatives and provide actionable insights for policymakers to advance the SDGs effectively.
A lightweight enhanced branching attention model for remote sensing scene image classification
Authors: Wang Huiyue , Wang Xinyu , Xu Haixia , Yuan LiMing , Wen Xianbin 
Published: July 2024

Abstract

Unlike natural images, remote sensing images exhibit significant spatial complexity and minimal intra-class differences, presenting considerable challenges in the field of remote sensing scene image classification (RSSC). Although existing convolutional neural networks have achieved some progress in this domain, they often fail to fully account for the unique characteristics of remote sensing images. Additionally, these networks typically suffer from excessive parameter redundancy, resulting in substantial computational burdens. This is particularly problematic given the difficulty in obtaining and labeling remote sensing data. To address these issues, this paper proposes a lightweight method (AEBANet) featuring an attention branching structure specifically designed for RSSC. First, we construct an overall feature extraction framework based on depth-wise separable convolution (DS-Conv) to ensure efficient feature extraction while maintaining accuracy. Then, we propose the Adaptive Enhanced Branch Attention (AEBA) module, a lightweight structural design that enhances the model's capability to capture key features in both channel and spatial domains. Second, we develop the Multi-Level Feature Fusion (MLFF) module to integrate features at different levels, thereby improving information flow between features and utilizing detailed shallow information to supervise the deep global information. Finally, the proposed AEBANet achieves the highest overall accuracy of 93.12%, 96.76%, and 99.52% on the NWPU, AID, and UCM datasets, respectively. Ablation studies on these datasets validate the effectiveness and necessity of each module. Additionally, the proposed method is characterized by low complexity and computational cost.
Peptidomics Characteristics of Pediatric Sepsis
Authors: Yan Haipeng , Li Xun , Luo Ting , Zeng Xiaohui , Li Xiao , Xie Longlong , Wang Xiangyu , Yang Yufan , Zhang Xinping , Huang Jiaotian , Liu Pingping , Luo Lan , Cao Jianshe , Zhou Haiyin , Lu Xiulan , Xiao Zhenghui 
Published: July 2024

Abstract

This study explores the significant differential expression of peptides in sepsis patients compared to healthy controls and those with common infections using plasma peptidomics analysis. Blood samples were collected from 10 pediatric sepsis patients admitted to Hunan Children's Hospital in 2021, along with 20 age- and sex-matched healthy controls and 5 children with common infections. Differential peptide precursor proteins underwent GO and KEGG pathway enrichment analyses and protein-protein interaction analysis using the STRING database. A total of 3149 endogenous peptides corresponding to 480 precursor proteins were identified. Compared to the healthy group, the sepsis group exhibited 1113 differential peptides, with 880 upregulated and 233 downregulated. Compared to the common infection group, the sepsis group showed 181 upregulated and 86 downregulated peptides. These differences were primarily in humoral immune response and complement and coagulation cascades. The peptide RSFFSFLGEA, associated with the precursor protein SAA1, had the highest LogFC values between sepsis and healthy groups, and sepsis and common infection groups, with values of 6.828 and 5.580, respectively. This study reveals specific changes in peptide expression in sepsis patients' plasma, particularly significant alterations in peptides related to SAA1, complement C3, HB, and HP. These peptides are involved in acute inflammatory response, complement system, and free hemoglobin pathways, indicating their crucial roles in sepsis pathology. These findings provide new insights into the mechanisms of sepsis and suggest potential applications of these peptides in sepsis diagnosis and treatment, aiming to improve early diagnosis and therapeutic outcomes.
Evaluation of insecticides performance for the management of leaf miners in Fenugreek (Trigonella foenum-graecum L.)
Authors: Shinde Sojwal , Patil Chidanand , Pawar Somnath , Deore Bhaidas , Oftadeh Marziye 
Published: July 2024

Abstract

Fenugreek (Trigonella foenum-graecum L.), an ancient leguminous crop with medicinal properties, is widely consumed as green leaves, pods, and seeds. Leaf miner infestation, causing white tunnels in leaves, significantly reduces leaf vigor and productivity. An experiment using a Randomized Complete Block Design with seven chemical treatments and three replications aimed to combat this pest. Observations were made on three leaves of five plants per plot, assessing percent leaf infestation before treatment and at 1, 3, and 7 days post-treatment over two years (Rabi-2020 and Rabi-2021). Results showed that Chlorantraniliprole at 30 g a.i. ha-1 was most effective, with the lowest leaf miner infestation (19.16%) and highest yield increase (58.38%), achieving an Incremental Cost Benefit Ratio (ICBR) of 1:9.1. Following this, cyantraniliprole at 90 g a.i. ha-1, thiamethoxam at 25 g a.i. ha-1, and chlorantraniliprole + thiamethoxam (soil drench) at 150 g a.i. ha-1 also showed effectiveness. Notably, thiamethoxam at 25 g a.i. ha-1 had the highest ICBR due to its lower cost. Farmers are advised to use newer insecticides like chlorantraniliprole and cyantraniliprole to mitigate yield losses from leaf miner infestations. These insecticides demonstrated significant efficacy in protecting fenugreek crops, particularly where the economic value lies in the leaves.
Constraint-Depentdent Switching Event-Triggered Control for UncertainNonlinear Systems with State Constraints
Authors: Liu Yuang , Duan NA , Li Can , Liu Xuemei , Wan Changhui , Ge Quanbo 
Published: July 2024

Abstract

This paper investigates the event-triggered control problem for a class of strict-feedback uncertain nonlinear systems with switching state constraints. The main challenges of such work arise from two aspects: (1) The state is not constrained at all moments, so the constraints on the state are not fixed, resulting in switches between bounded and unbounded constraints. The existing research is more suitable for bounded constraints. (2) Due to the presence of switching constraints, we aim to address these scenarios with varying control performance, existing research addresses this solely via offline tuning of the controller and its parameters. To solve the above problems, we develop a new exponential nonlinear state-dependent function (ENSDF). The ENSDF transforms the constraint problem of the original state into the boundedness problem of the new state, independent of the boundedness of the constraint boundaries. Then, a new constraint-dependent switching event-triggered controller is developed. The switching event-triggered controller based on ENSDF can dynamically adjust the controller and its parameters online to adapt to switching constraints. It is theoretically shown that the state does not violate the constraints, all closed-loop signals are globally bounded, and the tracking error converges towards an adjustable compact set.
Delay in Return to Fertility after Discontinuation of Using Depo-Provera and Associated Factors Among Currently Pregnant Women Attending Antenatal Care in Public Health Facilities in Gindeberet District, Oromia, Ethiopia, 2021
Authors: Tolera Tilahun Negero , Kubela Andinet Tesema , Obssie Gadisa Fitala 
Published: July 2024

Abstract

Background: One of the of methods to control fertility is use of injectable Depo-Provera which has the side effect of delaying return to fertility after discontinuation of it. Delay of fertility return after the method termination remains a major concern for women who use it. This fear poses a negative impact on utilization and continuation of Depo-Provera in developing nations including Ethiopia. Therefore, determining the median delay of fertility return after discontinuation of Depo-Provera and identifying the associating factors are important for developing solutions to the issues of clients and health care providers
Objective: To assess delay in fertility return after discontinuation Depo-Provera and associated factors among pregnant women attending ANC in public health facilities in Gindeberet district, Oromia, Ethiopia ,2021
Methods: Facility based cross sectional study was conducted on 415 pregnant women attending Antenatal care in Public Health Facilities in Gindeberet district from August 10-October 10/2021.Consecutive sampling technique was used. pretested structured Interviewer-administered questionnaire was used to collect data.Data were entered into Epi infoversion 7 and then exported to SPSS version 25 for cleaning ,analysis and summarized using descriptive statistics of Frequencies and median. Bivariate and multivariable logistic regression was applied to estimate the crude and adjusted odds ratios with 95% CI to determine the presence and strength of association and P- value < 0.05 as cut off point
Result: The median delay of fertility return in this study was found to be 10 months from date of Depo-Provera discontinuation. The magnitude of fertility delay in this study was 45.5%[95%CI=38.4.4%,52.6%].Multivariable analysis showed that being lower income ≤2500 ETB [AOR:0.09 (0.042,0.21)],Age group from 15-24years [AOR:0.04 (0.006, 0.23)], Age group from 30-34yearsAOR:[0.23(0.083,0.66)],Age at first sex 19-23years [AOR:0.4(0.17,0.93)],Being sexually active1day/week[AOR:5.5(1.4,20.8)] sexually active 2-3days/week [AOR:4.2 (1.7,14.9)] had significant association with delay in return to fertility after discontinuation of using Depo-Provera.
Conclusion and recommendation: After discontinuation of Depo-Proverathere is significant delay in return to fertility. Therefore, Women should be counseled that there is a potential for delay in return to fertility following discontinuation of the method.Being older age, being higher income, infrequent sexual intercourse and delayed age at first sex were predictors of fertility delay after discontinuation of Depo-Provera.
Integration of Photovoltaic Module with Inductive Power Transfer Using a Single Buck-Boost Converter
Authors: de Lacerda Macklyster Lãnucy S. S. , Viera Leonardo A. Brum , Rech Cassiano , Santos Walbermark M. dos 
Published: July 2024

Abstract

Inductive power transfer (IPT) systems, when integrated with photovoltaic (PV) generation, traditionally necessitate the inclusion of a DC-DC converter to uncouple the generation and transmission stages. This conventional approach requires dual converters: one dedicated to PV's MPPT and the other to adjust the IPT's operational point, raising system costs and complexity. Thus, this study examines a system composed of a PV directly attached to an SS IPT using a single buck-boost converter for control purposes. The operational points of PV-IPT are described in terms of resistance values. Findings indicate that the implemented MPPT control identifies an intermediate operational point between the PV and IPT power peaks. Experimental data was acquired using a 100 W PV. The overall efficiency was mainly constrained by the IPT's efficiency, with experimental observations indicating maximum transferred power and overall efficiency of about 40 W and 60%, respectively.
The cyclic diagnosability of star grraphs *
Authors: Li Yalan , Ma Xiujuan 
Published: July 2024

Abstract

Connectivity and diagnosability are two important parameters for the tolerance of an interconnection network. The cyclic diagnosability ct(G) is the maximum number of faulty vertices that the graph can be guaranted to identify under the condition that the remaining graph has at least two components contain a cycle. In this paper, we study the problem about the cyclic diagnosability ct(G) of star graphs and obtain probability analysis of its cyclic diagnosability.
A Robust Approach for Deepfake Detection Using SWIN Transformer
Authors: Mishra Soumya Ranjan , Mohapatra Hitesh , Gourisaria Mahendra Kumar 
Published: July 2024

Abstract

The widespread use of deepfake technology in recent years has made it extremely difficult to differentiate between real and fake images, usually AI-generated images. Effective detection techniques are desperately needed because one can generate fake images and spread them with ease. In response to the situation, this research paper explores the effectiveness of employing SWIN Transformer, a cutting-edge transformer-based architecture, for deep fake image detection. The foundation of the suggested detection framework is an architecture made up of bottleneck, encoder, and decoder parts which is a type of SWIN transformer. It uses various self-attention mechanisms and advanced features to analyse the images closely whether it is a real image or a deepfake one. It relies on the concept of shifted windows during the processing of the images and is considered more effective than the traditional CNN methods. Our test results show how well the SWIN Transformer-based method performs in precisely recognizing deep fake images. The accuracy is found to be 97.91% for CelebDF dataset and 95.715% for FF++ dataset. The AUC for the newly modelled SWIN transformer is 0.99 and 0.9625 for CelebDF and FF++ datasets respectively. The Log Loss has been calculated to be 0.034 for CelebDF dataset and 0.1573 for FF++ dataset. The proposed methodology not only enhances the accuracy of detecting manipulated images but also offers potential for scalable and efficient deployment in real-world scenarios where the proliferation of deepfakes presents significant challenges to maintaining trust and authenticity in visual media.
Acceleration of Near Field Computation in MLFMA Algorithm on a single GPU by Generating Redundancy in Data
Authors: Torabi Abdolreza , Sadeghi Morteza 
Published: July 2024

Abstract

The Multilevel Fast Multipole Algorithm (MLFMA) has known applications in scientific modeling in the fields of telecommunications, physics, mechanics, and chemistry. Accelerating calculation of far-field using GPUs and GPU clusters for large-scale problems has been studied for more than a decade. The acceleration of the Near Field Computation (P2P operator) however was less of a concern because it does not face the challenges of distributed processing which does far field. This article proposes a modification of the P2P algorithm and uses performance models to determine its optimality criteria. By modeling the speedup, we found that making threads independence by creating redundancy in the data makes the algorithm for lower dense problems nearly 13 times faster than non-redundant mode.
Effectiveness of behaviour change interventions to reduce the risk of faecal contamination in urban irrigated vegetable value chains – applying the COM-B behavioural framework
Authors: Galibourg David , Scott Rebecca E. , Gough Katherine V. , Drechsel Pay , Evans Barbara E. 
Published: July 2024

ABSTRACT
In low- and middle-income countries, inadequate sanitation results in faecal contamination of the water used by urban farmers for irrigation. Consumers of raw contaminated vegetables run the risk of developing diarrhoeal diseases and helminth infections, which are a leading cause of under-five mortality and impact the well-being and productivity of millions of adults. This review identifies the evidence base for assessing which factors determine the success and/or failure of interventions that aim to manage the risk of faecal contamination in the urban irrigated vegetable value chain. We carried out a systematic search of the literature from the perspective of the COM-B behaviour framework (Capability + Opportunity + Motivation = Behaviour). Our results reveal that most interventions address stakeholders’ opportunity or capability to adopt safe practices without adequately considering their motivation. Interventions often focus on one sector rather than on the whole value chain (sanitation, agriculture, trade, consumption). To effectively change hygiene and food safety practices in the urban irrigated vegetable value chain, stakeholders’ intrinsic motivations need to be identified. Where WHO's multi-barrier approach is the best option, we recommend building on local multistakeholder platforms and adopting a behaviour change framework to support the largely technical change from farm to fork.
Cisplatin-based Liposomal Nanocarriers for Drug Delivery in Lung Cancer Therapy: Recent Progress and Future Outlooks
Authors: Mohammad-Jafari Kave , Naghib Seyed Morteza , Mozafari M.R. 
Published: July 2024

:
In order to improve the treatment of lung cancer, this paper looks at the development of cisplatinbased
liposomal nanocarriers. It focuses on addressing the drawbacks of conventional cisplatin therapy, including
systemic toxicity, inadequate tumor targeting, and drug resistance. Liposomes, or spherical lipid vesicles,
offer a potentially effective way to encapsulate cisplatin, enhancing its transport and minimizing harmful
effects on healthy tissues. The article discusses many liposomal cisplatin formulations, including pH-sensitive
liposomes, sterically stabilized liposomes, and liposomes coupled with specific ligands like EGFR antibodies.
These novel formulations show promise in reducing cisplatin resistance, optimizing pharmacokinetics, and
boosting therapeutic results in the two in vitro and in vivo models. They also take advantage of the enhanced
permeability and retention (EPR) effect in the direction of improved tumor accumulation. The study highlights
the need for more investigation to move these liposomal formulations from experimental to clinical settings,
highlighting their potential to offer less harmful and more effective cancer therapy alternatives.
Recent Advances in N-Arylation of Heterocycles in the Past Decade
Authors: Yang Xun , Li Haiyan , Jiang Quan , Lei Zhiguo , Xiao Yuxuan , Liu Jialing , Duan Wengui , Yu Lin 
Published: July 2024

:
N-arylated heterocycles are a significant class of core scaffolds in medicinal
chemistry, materials science, and agrochemistry, highlighting their importance in various
fields. The development of innovative methodologies for synthesizing these fundamental
structures has been a central focus in organic synthesis. Over the past few decades, numerous
approaches have been established to synthesize N-aryl heterocycles efficiently. Among
these methods, the direct N-arylation of N-H heterocycles stands out as one of the most
straightforward and robust strategies for accessing N-arylated heterocycles. This review
provides a comprehensive review of the recent advances in the synthesis of N-arylated heterocycles,
encompassing the relevant literature from the past decade. The review summarizes
the N-arylation of N-H heterocycles using various catalytic systems, including palladium,
nickel, copper, visible light-induced metal-catalyzed, and metal-free catalyzed methodologies. These
advances highlighted the continuous evolution and optimization of synthetic strategies to create diverse and
complex N-arylated heterocycles, which are pivotal for furthering research and development in multiple scientific
domains.
Spectrophotometric Determination of Curcumin using 3-Methyl-2-benzothiazolinone Hydrazone Hydrochloride Hydrate as Electrophilic Coupling Agent
Authors: Ayesha Syeda 
Published: July 2024

Introduction:
Nutraceuticals are products derived from food sources that provide
extra health benefits in addition to the basic nutritional value found in foods. Spectrophotometric
methods for the determination of curcumin were developed, which are
simple, sensitive, selective, rapid, and reliable.

Methods:
The methods are based on the reduction of iron (III) to iron (II) by 3-Methyl-2-
benzothiazolinone hydrazone hydrochloride hydrate (MBTH), which is an electrophilic
coupling agent and subsequent reaction with curcumin in mild hydrochloric acid medium.
Spectrophotometric methods for the determination of curcumin were developed, which
are simple, sensitive, selective, rapid, and reliable. The methods are based on the reduction
of iron (III) to iron (II) by 3-Methyl-2-benzothiazolinone hydrazone hydrochloride
hydrate (MBTH), which is an electrophilic coupling agent and subsequent reaction with
curcumin in mild hydrochloric acid medium.

Result:
The reaction produces a bluish–green complex with maximum absorbance at 670
nm. The colour complex can be extracted into chloroform. The methods obey Beer’s law
in the range 0.3-7.0 and 0.2-7.0 (μg mL-1).

Conclusion:
10 common anions and cations were added, and the method was tested, and
no interference was observed. The proposed methods offered the advantages of having
good reproducibility and were satisfactorily worked out to estimate the amount of curcumin
in various turmeric samples.