bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Rise of Agriculture 4.0: A Bibliometric Analysis of Research Trends and Future Directions
Authors: Barman Bikram , Singh Rashmi , Quader Sk Wasaful , Nath Rajat Kumar 
Published: August 2024

Abstract

The term "agriculture 4.0" refers to integrating artificial intelligence, big data, cloud computing, the Internet of Things and advanced robotics into agriculture. The field of Agriculture 4.0 research has seen a surge in attention as sustainable agriculture has gained more prominence. This study concentrated on conducting a bibliometric analysis of Agriculture 4.0 and its growth. The Dimensions.ai data used in the study was produced using the search terms “Agriculture 4.0," "Smart Farming," "Farming 4.0," and "Digital Agriculture.” A comprehensive dataset consisting of 1,458 relevant documents has been identified, retrieved, and compiled into a CSV format for further analysis. The retrieved data was visualized and analyzed using suitable software. It was that the information and computing sciences field had the maximum number of publications on Agriculture 4.0 (1,015), followed by Agriculture, veterinary and food science (487). The majority of articles (1,074) addressed Sustainable Development Goal 2, which has hunger as its main focus. Based on co-authorship analysis, India, China, and the USA emerged as the leading nations both in impact and research volume, with other countries clustering around them. The University of Guelph, Wageningen University and Research and Anna University were the three organisations with respectively the most impact in terms of total citations. According to the sources' citation analyses, readers were more influenced by the "Computers and Electronics in Agriculture" publication when it came to Agriculture 4.0 research. The Agriculture 4.0 research involves many stakeholders; thus, a broad multidisciplinary approach is necessary. Hence, to solve the issue of Agriculture 4.0, multidisciplinary researchers ought to collaborate rather than act alone.
Intermittent hypoxia enhances voluntary activation and reduces performance fatigability during repeated lower limb contractions
Authors: Bogard Alysha Taylor , Pollet Aviva K. , Tan Andrew Quesada 
Published: August 2024

Abstract

Prior research has highlighted the therapeutic benefits of acute intermittent hypoxia (AIH) in enhancing motor performance after motor incomplete spinal cord injury and in able-bodied individuals. While studies in rodents and humans indicate that AIH may facilitate motor excitability, the relationship between excitability changes and functional performance remains unclear. Additionally, discrepancies in the effects of AIH on excitability in able-bodied individuals merit further investigation. Understanding the concurrent impact of repetitive AIH on voluntary activation and spinal reflex excitability may clarify the functional implications of AIH for muscle force production. High voluntary activation is vital for sustaining torque production during activities that require repeated muscle contractions. We hypothesized that repetitive AIH would attenuate declines in both voluntary activation and maximum torque production typically observed during fatiguing contractions. To test this hypothesis, we examined the effects of four consecutive days of AIH on voluntary activation and torque generation during repeated maximal plantar flexion contractions. We assessed changes in voluntary activation using the central activation ratio (CAR) by calculating the ratio of voluntary torque to the torque produced with supramaximal electrical stimulation. Consistent with our hypothesis, we show that repetitive AIH significantly increases both CAR and peak torque during fatiguing contractions. We did not observe any changes in resting spinal reflex excitability or antagonist muscle coactivation during the fatiguing contractions post-AIH. Together, these findings suggest that repetitive AIH reduces performance fatigability through enhanced descending neural drive. Optimizing voluntary activation is critical for facilitating the recovery of functional walking skills after neurological injury.
Optimizing Large Language Models with Multi-Degree Low-Rank Approximations
Authors: Sisoka Benjamin , Robinson William 
Published: August 2024

Abstract

The increasing computational demands and resource requirements of advanced neural network models have created a growing need for efficient methods to enhance their scalability and deployment, particularly in environments with limited hardware capabilities. Addressing this challenge, the novel application of multi-degree low-rank approximations provides a significant breakthrough, enabling substantial reductions in memory usage and computational costs while preserving high levels of performance. Experiments conducted on the Mistral model demonstrated that this approach can effectively balance the trade-offs between model complexity and accuracy, achieving reduced perplexity and improved classification performance across a range of tasks. The use of varying degrees of rank reduction allowed for tailored optimization, enhancing the model's adaptability to different task requirements and operational environments. The findings suggest that multi-degree low-rank approximations are not only a viable solution for optimizing large-scale neural networks but also a versatile tool for extending the applicability of sophisticated language models to resource-constrained settings. This approach opens up new possibilities for the deployment of advanced language processing capabilities in real-time applications, mobile devices, and other platforms where computational efficiency is critical.
The Association between Selenium and Epithelial Ovarian Cancer among Women: A methodology and comments from the Systematic Review and Meta-analysis
Authors: KCM Perera , WND Perera , Chrishantha Abeysena 
Published: August 2024

Abstract

Background Ovarian cancer is the sixth most prevalent and fatal cancer among females worldwide. Antioxidants have some proven anticancer effects by limiting oxidative stress. Selenium is a powerful antioxidant and protects cells from the destruction caused by peroxides. This study aimed to determine the association between selenium intake and Epithelial Ovarian Cancer among women, who had not undergone an oophorectomy.
Methods and analysis A comprehensive electronic search was carried out according to the prepared search strategy from the starting date of the PubMed/Medline, EMBASE, Scopus, Proquest, and Web of Science databases up to the 30th of September 2022 without limitations related to language or publication status. All observational studies, cross-sectional analytical studies, ecological studies, randomized control studies, and nonrandomized clinical trials were included in the systematic review. Studies will be screened by COVIDENCE. The exposure of interest was high selenium intake from either food sources, supplements, or high selenium supplements in blood and toenails. The data were extracted. The New Castle Ottawa Scale and the ROBINS-1 tool will be used to assess the bias of the selected studies. A narrative synthesis and meta-analysis will be conducted. The results are displayed via forest plots. All analyses will be performed using STATA-17.
Commentary Ovarian cancer is the most fatal gynecological malignancy among women. Due to the lack of recommended screening tools, the identification of modifiable effective risk factors and preventive tools is essential for reducing the ovarian cancer burden. Selenium is a powerful antioxidant and prevents cell damage. Several studies have shown that selenium protects against the development of some selected cancers. Therefore it is envisaged that there is an inverse relationship between selenium and ovarian cancer for more expanded research study for the future ovarian cancer preventive strategies.
Systematic review registration: Registered in the International Prospective Register of Systematic Reviews (PROSPERO)- CRD42022356472
Effect of thermotherapy on meristem culture response of two local cassava (Manihot esculenta Crantz) cultivars from Burkina Faso
Authors: OUEDRAOGO Wendpang-yidé Idrissa Caleb , SOME Koussao , NANA Rasmata , TIAMA Djakaridja , BERTHE Ousséni , SORO Monique 
Published: August 2024

Abstract

Using healthy cuttings can enhance the productivity of cultivars susceptible to viral diseases. However, due to the unavailability of healthy cuttings, farmers often have to rely on infected ones. This study aims to enhance the health quality of planting material by using thermotherapy and meristem culture techniques on two cassava cultivars. To achieve this, cuttings from the BFM206 and BFM260 cultivars were subjected to heat treatment in a thermotherapy chamber and a control treatment in field conditions. The heat treatment involved exposing the cuttings to a temperature of 37°C for the first week. The temperature was then increased by 2°C each week over four weeks, reaching 37°C, 39°C, 41°C, and 43°C, respectively. After the treatment, the resulting shoots were used as mother plants for meristem culture. The experimental design was a split-plot with 5 repetitions. The parameters studied included the severity and incidence of cassava mosaic disease, the regeneration rate, the callus formation rate, and growth parameters. The heat treatment resulted in a significant difference between the cultivars in terms of the severity of cassava mosaic disease (P < 0.001) and the regeneration rate (P = 0.008). Furthermore, compared to the control treatment, the heat treatment significantly increased the number of nodes by 4.92 and the number of stems by 1.42 in the BFM260 cultivar. In conclusion, thermotherapy can help reduce the severity of cassava mosaic disease in mother plants and thereby improve the in vitro growth of meristems.
Thermal effects on the biological parameters of the bean Aphis craccivora (Hemiptera: Aphididae)
Authors: Dona Rochelyn , Satar Serdar 
Published: August 2024

Abstract

The cowpea aphid Aphis craccivora is a polyphagous species that has spread worldwide. The aim of this study was to investigate the thermal effects on the developmental period, longevity, and fecundity of apterous females of A. craccivora. The experiment was conducted under the effects of four temperature regimes, which included 16°C, 20°C, 24°C, and 28°C, with 65 ± 5% relative humidity (RH) and a photoperiod of long-day 16:8 (L:D) h. Afterwards, the nymphs developed successfully until the adult stage at all temperature regimens. The developmental period of immature A. craccivora ranged from 10.6 days at 16°C to 5.0 days at 28°C. The nymph viability and survival were greater at 24°C than at the other temperatures. However, at a constant temperature of 28°C, the mortality rate was greater than that of the other species at the immature stage of A. craccivora. The lower developmental threshold for cowpea aphids was estimated at 1.77°C and 66.79 degree-days (DD) at the first instar until adulthood. The average longevity of adult females decreased from 22.2 days at 16°C to 10.8 days at 28°C. The net reproduction rate per female was 46.97 at 24°C and 26.93 to 28°C. The largest intrinsic rates of increase (rm= 0.367) occurred at 28°C, and the smallest occurred at 16°C (rm= 0.177). It was obvious that temperatures greater than 28°C resulted in good development, increased mortality at the nymphal stage, reduced adult longevity, and diminished fecundity. The optimal growth temperature for A. craccivora was 20°C-24°C.
Prevalence of pneumonia and its associated factors among under five years old children at tertiary hospital in Mogadishu Somalia
Authors: AHMED YONIS ABDULLAHI , Roble Miski Abdullahi , Qalif Yasser , Qalif Yasser , Adan Aisha Mohamed , Ahmed Fardawsa Hassan , Yasar Mehmet Zaki , Ali Amal Abdullahi 
Published: August 2024

Abstract

Introduction
Pneumonia remains a leading cause of morbidity and mortality among children under five years old. Despite advancements in medical science, the disease remains a significant public health concern particularly in developing countries. This study aimed to assess the prevalence of pneumonia and its associated factors among under-five children at a tertiary hospital in Mogadishu, Somalia, to contribute to the formulation of effective intervention strategies.
Methods
A hospital-based, descriptive, cross-sectional study was conducted between February and June 2024. A sample size of 384 children was determined using the Cochran formula. Simple random sampling was used to select participants. Data were collected through face-to-face interviews with caregivers and review of medical records using a structured questionnaire adapted from validated sources. Data were analysed using SPSS software, employing descriptive statistics and bivariate analysis with chi-square tests. Variables with P<0.2 were included in a multivariable logistic regression model to adjust for confounders. A P<0.05 was considered statistically significant.
Result
Overall, data of 356 children under 5 years were analysed. The majority comprised children aged 1 month-1 year (n=121,34.0%). The prevalence of pneumonia was 42.1%. Nearly half of the children had not been vaccinated, and aspiration incidents were reported in 19.9% of cases. Children of less than one month (AOR: 2.3, 95% CI:1.59-3.58, p<0.1001), and those aged >1-2 years (AOR: 1.9, 95% CI: 1.31-2.74, p=0.001), >3-4 years (AOR: 1.9, 95% CI: 1.24-1.80, p=0.003), and >4-5 years (AOR: 1.9, 95% CI: 1.19-3.00, p=0.007) had a significantly higher risk of paediatric pneumonia. Furthermore, unvaccinated children (AOR: 0.8, 95% CI: 0.60-0.99, p=0.048), and allergic disease in the family (AOR: 0.7, 95% CI: 0.58-0.96, p=0.020) were significantly associated with paediatric pneumonia.
Conclusion
The study highlights the significant burden of pneumonia among children under five in Mogadishu and identifies key risk factors contributing to its prevalence. These findings underscore the urgent need for targeted public health interventions, including improved vaccination coverage, and enhanced caregiver education. Addressing these factors is crucial for reducing pneumonia-related morbidity and mortality in this vulnerable.
Hydroxymethyl Lignin Capped Silver Nanoparticles: Antimicrobial and Hydrogen Peroxide Sensing Ability
Authors: Madivoli Edwin , Kamau Kahinga , Kimani Paul Kinyanjui , Chika T. 
Published: August 2024

Abstract

Lignin (Lg) fractionation overcomes the limitations of the heterogeneous nature of lignin. In this study, the effects of methanol fractionation on the thermal degradation, crystallinity, morphology and chemical structure of lignin and its application in hydrogen peroxide sensing were investigated. Lg was separated into low-molecular-weight lignin (LMwLg) and high-molecular-weight lignin (HMwLg) followed by modification to hydroxymethyl lignin, which reduced the silver ions to nanoparticles. The functional groups, crystallinity, thermal profile and morphology were subsequently investigated using Fourier transform infrared spectroscopy, thermal gravimetry, powder diffraction and scanning electron microscopy. LMwLg was found to be crystalline and highly hygroscopic and had four thermal degradation stages, while HMwLg had several degradation stages and was amorphous. The sharp peaks in the LMwLg diffractogram were characteristic of sodium, while those in the AgNP-HMwLg diffractogram were characteristic of AgNPs, as evidenced by the SPR peak at 428 nm, whose intensity decreased in the presence of hydrogen peroxide. Moreover, compared with pristine lignin, AgNP-HMwLg exhibited greater inhibitory activity against E. coli, S. aureus, P. aeruginosa and B. subtilis with inhibition zones of 10.67 ± 0.58, 11.50 ± 0.00, 10.33 ± 0.58, and 8.33 ± 0.57 cm, respectively. In conclusion, AgNP-HMwLg contained hydrogen peroxide in solution and inhibited the growth of selected gram-positive and gram-negative bacteria.
Micro-Analysis of	Unipolar Induction: Experiments with Multiple Magnet System
Authors: Chhotray Sushant Kumar 
Published: August 2024

Abstract

The Faraday paradox, originating from the age-old unipolar induction experiment, challenges established principles of electromagnetic induction. Two conflicting hypotheses—the M and N hypotheses—compete to elucidate this enigma. While the former suggests that magnetic flux rotates with the magnet, the latter contends that flux remains stationary. Intriguingly, experimental evidence supports both theories. This study aims to enhance understanding of the unipolar theory by leveraging the flux-cutting law of electromagnetic induction. Key concepts, including magnetic domain theory, relative angular velocity, and the flux-cutting rule, will be outlined, along with an analysis of unipolar induction results. The measurement circuit, or external circuit, is part of the closed circuit and interacts with the magnetic field to induce electromotive force, which is included in the analysis. A novel experiment utilizing multiple magnets, collectively equivalent to a single magnet, is devised and executed to gain deeper insight into the mechanism of unipolar induction. The seat of electromotive force is localized in the circuit under study, and its dynamic behavior is found to be instrumental in explaining the outcomes of unipolar induction. This study also highlights the paradoxical nature of Faraday's experiment, the contrasting hypotheses, the experimental outcomes, and the role of the flux cutting rule in resolving the conundrum.
Mitigating the after-effect of climate-induced disaster through energy dissipation using stepped storm waterway in hilly roads
Authors: Mishra Ritusnata , Ojha C. S. P. 
Published: August 2024

ABSTRACT

The current research examines the after-effects of climate-induced disasters in India's Himalayan region, as well as the consequences of highway damage. To avoid the damages caused by heavy rain, cloudbursts, and landslides, a design of stepped storm waterway downstream of the underpass rainwater drainage is recommended to overcome such failure in highway design. As a result, an experimental model study was carried out on a stepped channel for a slope of 26.6° with two specific widths. The slope is chosen as it is close to the ideal slope based on the literature. The present research evaluates several characteristics such as the behaviour of flow at different locations (jet length and pool depths), air–water flow properties (air concentration), and energy dissipation efficiency. Different aerated flow depths have been studied to understand their effects on aeration, as well as on energy dissipation. The outcomes showed that the wider channel has a relatively higher energy dissipation efficiency. This outcome could help in modifying the existing storm waterway by widening the channel to facilitate huge runoff during bad climatic conditions. Finally, a multi-nonlinear regression expression is proposed to predict energy dissipation by taking into consideration channel geometry and inflow condition.
ARIMA-Based forecasting of monthly rainfall in Mandi district, Himachal Pradesh
Authors: Sharma Aashish , Singh Kanwarpreet 
Published: August 2024

ABSTRACT

To anticipate monthly rainfall time series, autoregressive integrated moving average (ARIMA) modelling was performed using R studio. For a period of 30 years, the monthly rainfall data (in mm) were gathered for eight localities in the Mandi district of Himachal Pradesh: Bharol, Chachiyot, Jogindernagar, Karsog, Kataula, Mandi, Sarkaghat, and Sundernagar. The augmented Dickey–Fuller test was performed to determine whether the rainfall data were steady before applying the ARIMA model. The minimal values of the Akaike information criterion, Bayesian information criterion, autocorrelation function, and partial autocorrelation function were used to select the best models. The best fit was determined to be ARIMA (0,0,2) (2,1,0)12 for five stations and ARIMA (0,0,0) (1,1,0)12 for the remaining three stations. A box test is performed to validate the ARIMA model and verify the autocorrelation in the data. Using the ARIMA model, forecasts are made for the 10 years (2021–2030). The validity and performance of the ARIMA models were evaluated using error statistics (mean absolute error = 34.65, root-mean-square error = 33.58, and R2 = 0.93). The projected data's mean and standard deviation were close to the actual data. As a result, the ARIMA model's monthly rainfall prediction parameters were satisfactory.
Eigen-6c4 Gravity and Alos Palsar Radar Data Integration for Delineating Geological Lineaments in North Ghadames Basin, NW Libya
Authors: Trepil Fouzie , Muztaza Nordiana Mohd , Abir Ismail Ahmad , Saleem Mohamed , Abuwoden Isa , Adewumi Taiwo 
Published: August 2024

Introduction
The ambiguity regarding the geological interpretation has the potential to be significantly decreased with the use of remote sensing, geophysical data, and the history of geology.

Aims
The objective of this work is to delineate geological lineaments and faults using EIGEN-6C4 satellite gravity and ALOS PALSAR radar data in the north Ghadames basin, of northwest Libya.

Methods
The satellite gravity dataset of the study region was used to perform a complete Bouguer anomaly map of the study area to start the gravity interpretation. Then different filters were performed on the gravity dataset, such as the total horizontal gradient (THG), CET grid analysis, 3-dimensional Euler solution (ED), and a tilt derivative (TDR) using the commercial Oasis Montaj programme. The techniques of edge identification (THG, TDR, and also CET grid analysis) are utilised for locating and identifying the boundaries or edges of geological structures that contribute to gravity anomalies. The 3-dimensional Euler solution, in conjunction with the TDR method, is employed to precisely figure out the positions and estimated depths associated with subsurface sources. Radiometric calibration, speckle filtering, and geometric correction were applied to preprocess the ALOS PALSAR L 1.1 image via the Sentinel Application Platform (SNAP) software. For automatic extraction, the PCI Geomatica software's LINE module was applied.

Results
The gravity data results indicate that the main trends of the identified geological lineaments are oriented in the North-South, East-West, Northwest-Southeast, and North-Northwest to South-Southeast directions. Furthermore, the depths of the sources observed underneath the study region differ from 250 m to 2750 m. The orientation of extracted lineaments from the ALOS PALSAR L1.1 images, specifically the horizontal-horizontal as well as horizontal-vertical polarisation images, predominantly have orientations in the north-south, north-northeast to south-southwest, east-west, north-northwest to south-southeast, and northeast-southwest directions within the study area.

Conclusion
All these findings of lineaments are associated with the tectonic features of the area. Consequently, identifying these lineaments/faults is important to reduce the ambiguity of geological interpretation and provide more information on the dominant trends for future exploration activities in the study region.