bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermotherapy combined with alternative products in the management of melon rot caused by Fusarium falciforme
Authors: de medeiros Ana Santana , Alves Tatianne Raianne Costa , Silva Jarlan Lucas dos Santos , de Moura Ana Paula , de Lima Jailma Suerda Silva , de Souza José Janderson Ferreira , de França Mateus Araújo Vasconcelos , Fernandes Juliano da Costa , Evangelista Luiz Fernando Bezerra , Ambrósio Márcia Michelle de Queiroz 
Published: September 2023

Abstract
In the search for efficient and sustainable methods for the management of Fusarium rot in melon, the present study aimed to evaluate the efficiency of the thermotherapy, either alone or in combination with alternative products to Magnate®, in melons inoculated with two isolates of Fusarium falciforme. The effect of the treatments on fruit quality was evaluated using physicochemical parameters, disease severity, and enzymatic analyses. The in vitro experiments showed that the lowest concentration (0.0625% v/v) of cinnamon essential oil was the most effective in controlling the mycelial growth of both isolates, demonstrating comparable effects to those observed with Copper Crop® and Magnate®. In the in vivo experiments, the treatment of fruits with thermotherapy combined with Cooper Crop® greatly reduced melon rot, decreased the damage caused by the two isolates of F. falciforme, and was more effective than Magnate®. This treatment produced a lower level of hydrogen peroxide in the inoculated fruits, thereby maintaining cell membranes. It contains antifungal compounds inherent to its composition and exerts an influence on the enzymes peroxidase and polyphenoxidase, thereby inducing the defense mechanism of the fruit. Therefore, thermotherapy combined with Cooper Crop® can be used in the management of melon rot as an alternative to Magnate®.
A Novel Aging-Related lncRNAs Signature-Based Model for Prognosis Prediction in Pancreatic Cancer
Authors: 李 Xinxiong , wang Meiping , Zhang Zaizhong , Feng Tianshun , Wu Junhong , Hong Weixuan , Fang Junwei , Wang Lie , Zhao Hu , Xiao Chunhong 
Published: September 2023

Abstract
Objective
To identify aging-related long non-coding RNAs (ARLs) with prognostic significance and construct a prognostic model for pancreatic cancer (PC) patients.
Methods
Transcriptome information from PC samples and normal samples was obtained from the Cancer Genome Atlas Database (TCGA) and the Genotypic Tissue Expression Database (GTEx). Aging-related genes (ARGs) were obtained from the Human Aging Genome Resources (HAGR) and GeneCards. Correlation analysis was performed to screen out ARLs. Univariate regression, lasso regression, and multivariate regression were used to identify the target ARLs and construct the prognostic model for aging-related PC.
Results
A total of 1109 ARLs were identified, and 9 target ARLs were obtained to construct the risk score prognostic model. These target ARLs include AC245041.2, AC244153.1, AC091057.1, MIR3142HG, AL137779.2, AC145207.5, TDRKH-AS1, AC068620.2, and AC127024.6. The model showed an area under the curve (AUC) of 0.798 on the receiver operating curve (ROC) curve, indicating its effectiveness in predicting prognosis. Kaplan-Meier analysis demonstrated a significant difference in overall survival (OS) between the two groups based on the median risk (P＜0.001). To further assess prognosis, the risk score was combined with clinicopathological features to construct a nomogram for PC. Additionally, gene enrichment analysis (GSEA) and immunological correlation analysis revealed differences in gene enrichment level, immune infiltration, and the expression of immune checkpoint genes between the two groups.
Conclusion
The constructed prognostic model based on nine ARLs provides valuable insights for the prognosis management of PC patients and the development of promising biomarkers in the diagnosis and treatment of PC.
DCSE-PCN: A Coarse-to-Fine Point Completion Network with Details Compensation and Structure Enhancement
Authors: Miao Yongwei , Jing Chengyu , Gao Weihao , Zhang Xudong 
Published: September 2023

Abstract
To address the limitations on inadequate completion of shape details for traditional methods, a novel coarse-to-fine point completion network (DCSE-PCN) is introduced in this paper through the modules of local details compensation and shape structure enhancement for effective geometric learning. The coarse completion stage of our network consists of two branches — a shape structure recovery branch and a local details compensation branch, which can recover the overall shape of the underlying model and the shape details of incomplete point cloud through feature learning and hierarchical feature fusion. The fine completion stage of our network employs the structure enhancement module to reinforce the correlated shape structures of the coarse repaired shape (such as regular arrangement or symmetry), thus obtaining the completed geometric shape with finer-grained details. Extensive experimental results on the ShapeNet dataset and ModelNet dataset validate the effectiveness of our DCSE-PCN, which can recover the shape details of the underlying point cloud while maintaining its overall shape. Compared to the existing methods, our presented coarse-to-fine completion network is shown its competitive performance on both CD and EMD distance error and is also robust to different degrees of data incompleteness and model noise.
Efficient Use of Auxiliary Attribute in Estimating the Finite Population Mean in Sample Surveys
Authors: Singh Housila P. , Tailor Rajesh , Malviya Priyanka 
Published: September 2023

Abstract
This paper addresses the problem of estimating the finite population mean of the study variable y in the presence of auxiliary attributes. An improved class of estimators for population mean has been defined along with properties under large sample approximation. An empirical study was carried out to observe the performance of the proposed and the existing estimators. It turns out that the suggested estimators are substantially more precise than the recent estimators envisaged by Koyuncu (2012) and Haq and Shabbir (2014, 2018).
Set-valued minimax programming problems under higher-order σ-arcwisely connectivity
Authors: DAS KOUSHIK 
Published: September 2023

Abstract
In this work, a set-valued minimax programming problem (MP) is taken into account. In the broad sense of higher-order arcwisely connected set-valued maps, we introduce the concept of higher-order σ-arcwisely connectedness of set-valued maps. Under higher-order contingent epidifferentiation and higher-order σ-arcwisely connectivity suppositions, the higher-order sufficient criteria for Karush-Kuhn-Tucker (KKT) optimality are constructed for the problem (MP). Additionally, we develop the higher-order Mond-Weir, Wolfe, and mixed kinds of duality and demonstrate the higher-order strong, weak, and converse theorems of duality among our main problem (MP) and the associated duals under higher-order σ-arcwisely connectivity supposition.
Mathematics Subject Classification (2000) 26B25 · 49N15
Estimation of the Exponential Distribution Parameter and Reliability Based on the Kernel and Bayes Approaches
Authors: Maswadah M. 
Published: September 2023

Abstract
We suggest herein a procedure for estimating the distribution parameters and reliability based on the non-parametric kernel density function. This technique has been utilized as an alternative and reliable approach for estimation in life-testing models directly from the data without any prior assumptions about the underlying distribution parameters. The efficiency of this technique has been studied compared to the Bayesian approach for estimating the parameter and reliability of the exponential distribution via Monte Carlo simulations. The simulation results indicated the robustness of the proposed method over the Bayesian approach based on the informative and informative conjugate priors. Finally, a numerical example is given to illustrate the densities and the inferential methods developed in this paper.
Water Quality Assessment of Rispana River at Dehradun (Uttarakhand) India with Reference to WQI and Microbial Contamination.
Authors: Singh Jabrinder , Pant Manish , Lakhera Aman , Singhal Naveen 
Published: September 2023

Abstract

In Dehradun capital city of Uttarakhand state (India) a major water resource Rispana river is highly contaminated due to anthropogenic activities and its water quality and quantity reduced to a critical level in recent past. The work was carried out on spatial basis in 4 different locations in pre-monsoon season during 2022. Sample collection and analysis was done as per APHA in laboratory for various parameters to calculate the water quality index-WQI by adopting the weighted arithmetic index approach. In this study it was observed that WQI varies from47.8 – 299.05 with an average of 146.14 (indicating a very poor quality & unfit for domestic purpose). Coliform levels are also very high (.2419.6 MPN) at majority of sites. River water harvesting at upstream region by municipal authorities led to reduced streamflow and discharge of waste from domestic and run-off sources contaminates the Rispana. Regulatory regimes must be executed for controlling unsustainable development approaches & water pollution in river catchments in Dehradun so that water quality and quantity of river Rispana could be enriched. To rejuvenate the water resources for sustainable utilization is a main mandate for development as per SDG 6.
Apparent Non-Suppression of Chaos in Spatiotemporal Chaotic Systems under Spatial and Temporal Variation of Parameters
Authors: Teli Bishnu Gupta , Kolake Balamurali Krishna Mayya 
Published: September 2023

Abstract
Coupled Map Lattice systems have been extensively studied in the past. The behavior of such systems under various mechanisms for the suppression of chaos has been investigated. The suppression of chaos is investigated here for both spatial as well as temporal variations of parameters. For this, the well-known Logistic map is used as the dynamical system. The method of homogeneous pinning is used as the chaos suppression mechanism. It is found that with pinning conditions, the STC when (i) control parameter r having only spatial variation together with coupling parameter ϵ having either only temporal temporal variation or spatial as well as temporal variation at the same time, (ii) r having temporal variation with every possible variation in ϵ and (iii) r having both spatial as well as temporal variation at the same time with every possible variation in ϵ, appears to have narrow range of values with non-suppression of chaos. However, upon close examination, it is found that the system is not chaotic at all.
Conditional Inference on Pareto Distribution Based on Generalized Order Statistics
Authors: Maswadah M. 
Published: September 2023

Abstract
Conditional and unconditional procedures are used for constructing confidence intervals for Pareto distribution parameters based on generalized order statistics via Monte Carlo simulations. The conditional confidence intervals for the parameters are derived for different sample sizes to allow an assessment of the amount of information lost when one bases confidence intervals on the unconditional distribution. Finally, a numerical example is given to illustrate the inferential methods developed in this paper.
Rotational alignment after intramedullary nailing in trochanteric fractures: Lateral decubitus versus supine position with fracture table. Does operative position matter?
Authors: Yurteri Ahmet , Mercan Numan , Kılıç Mehmet , Temiz Ahmet , Doğar Fatih , Topak Duran , Yıldırım Ahmet 
Published: September 2023

Abstract

Background: Fixation of trochanteric fractures with intramedullary nail in non-physiological position can cause poor functional outcomes. The aim of this study, evaluate the effect of intra-operative patient position on rotational alignment in intramedullary nail fixation of trochanteric fractures.
Methods: Femoral rotational alignment of 84 trochanteric fracture patients who underwent intramedullary nailing was measured by comuted tomography (CT) images. Patients were divided into two groups: Supine position on fracture table (Group-1, n:42) and lateral decubitus (LD) position (Group-2, n:42). Femoral malrotation angles were measured and divided into three subgroups as insignificant, significant and excessive. Number of intra-operative fluoroscopy imaging, preparation time, surgery time and anesthesia time in both groups compared.
Results: Malrotation degrees of patients in Group-1 ranged from 17° external rotation (ER) to 57° internal rotation (IR), with a mean of 10° IR. Of the patients in Group-1, 27 were in insignificant, 5 were in significant, and 10 were in excessive subgroup. Malrotation degrees of patients in Group-2 ranged from 33° ER to 47° IR, with a mean of 11° IR. Of patients in Group-2, 21 were in insignificant, 12 were in significant, and 9 were in excessive subgroup. There was no statistically significant relationship between patient position and malrotation angle. Number of intra-operative fluoroscopy imaging, preparation time and anesthesia time were statistically lower in Group-2. There was no statistically significant difference between Group-1 and Group-2 in terms of surgery time.
Conclusion: Intramedullary nailing in LD position is a reliable and practical surgical method in treatment of femoral trochanteric fractures, since there is no need for use of a fracture table, surgeon is exposed to less radiation, no risk of complications related to traction of fracture table, and shorter operation time.
SARS-CoV-2 isolates missing part of the furin cleavage site
Authors: Romeu Antonio R. 
Published: September 2023

Abstract
The discovery ofbat coronaviruses in Southeast Asia very similar to SARS-CoV-2 is key to deciphering SARS-CoV-2’s origin. They are remarkable the bat coronaviruses BANAL52 fromLaos and Rp22DB159 from Vietnam, which are the closest known relatives of SARS-CoV-2. Bat BANAL52 and Rp22DB159 spike glycorpotein havethe receptor binding domain almost identical to that of SARS-CoV-2, they can therefore infect human cells, despite the absence of the polybasic furin cleavage motif. Consistently, BANAL52 and Rp22DB159 sarbecoviruses have the characteristics to be considered progenitors of SARS-CoV-2. The key evolutionary step leading to the pandemic virus was the acquisition in a progenitor of SARS-CoV-2 the S gene insert encoding the polybasic furin cleavage site. Ahypothesis for the probable human origin of that S gene insertincludes that it has been acquired by recombination between the genome of a progenitor of SARS-CoV-2 and human mRNA transcripts within human infected cells. The question is whether it could be that in some cases this recombination did not occur. At this point, I was interested in conducting a sequenceanalysis to explore whether existSARS-CoV-2 isolatesmissing the furin cleavage motif. With the purpose of creating a curated working sample, I downloaded from NCBI Virus database SARS-CoV-2 spike glycoprotein sequences with the following filters: host, human; ambiguous characters, 0; sequence length, min. 1260, max. 1300. The total number of downloaded sequences was 2,331,196. As a results, 3,070 sequencesshowed specific mutations within the novel RRAR furin cleavage motif. However, here I show eightSARS-CoV-2 isolates missing part of the furin site including the RRAR cleavage motif. These eightSARS-CoV-2 isolates show the TMPRSS2 cleavage motif at the S1/S2 junction regionstrictly conserved. In conclusion, results suggest that as long as TMPRSS2 cleavage site would be present at the SARS‐CoV-2 spike glycoprotein S1/S2 junction, the furin clevage sitemay not be entirely essential. At least it is not for eight SARS-CoV-2 isolates.
Global patterns and drivers of dissolved organic matter across Earth systems: Evidence from H/C and O/C ratios
Authors: Hu Ang , Han Lei , Lu Xiancai , Zhang Ganlin , Wang Jianjun 
Published: September 2023

Abstract
Dissolved organic matter (DOM) is ubiquitous and contains a complex pool of thousands of distinct molecules, and their chemical characteristics help us inform the fate of global carbon. Yet, a more holistic perspective of molecular characteristics of DOM and underlying mechanisms across Earth systems and climates remain understudied. Here, we present a comprehensive analysis of the molecular characteristics of DOM using two abundance-weighted average indices, i.e., H/C and O/C ratios by compiling 3,558 samples from 317 studies covering the waters, land, plant, petroleum, and atmosphere systems, and the climatic regions from tropics to tundra. H/C ratios are lower on average in waters (H/C = 1.15 ± 0.005) and land (H/C = 1.20 ± 0.010) than the other systems, while their O/C ratios rank between plant and atmosphere. In the waters and land systems, the H/C ratios of DOM vary from the highest to the lowest in the habitats of land-to-ocean continuum generally as snow > glacier > marine ≥ freshwater/soil > groundwater. The H/C ratios show predictably U-shaped patterns along latitudinal gradients indicating the lowest abundance of more hydrogen saturated molecules at around mid-latitudes of 40°-50° in river water, lake water, and forest soil. The two ratios are primarily controlled by the environmental factors such as pH, dissolved oxygen, and carbon and nitrogen contents. We further unveil additional and considerable links between the ratios and the extremes of climatic factors such as precipitation of warmest quarter and maximum temperature of warmest month. Our synthesis provides molecular-level perspectives to characterize the global distribution and underlying drivers of DOM, which is complementary for our understanding global carbon cycle’s processes under future global change.
Security Testing of a Smart Home Management System using Formal Method and Gray-box Testing
Authors: Nguyen Long , Simmons Allan , Tran Hai-Anh , Tran Truong 
Published: September 2023

Abstract
The increasing prevalence of Internet-of-Things (IoT) devices in households has led to a need for security testing. In a Smart Home system, the central management software is often used to control and automate the smart devices. However, it can be difficult to ensure the security of the centralized software that controls a wide selection of devices. In this paper, we present our study using the formal method and gray-box testing to analyze and validate the security of a popular Smart Home Management software: Home Assistant system. We based our study on the guidelines provided by the National Institute of Standards and Technology (NIST). The paper presents the details of our testing methods, results, discussion, and guidance for resolving any exposed vulnerabilities. Our testing results show that the Home Assistant system is vulnerable to a number of attacks, including denial-of-service attacks, data breaches, and unauthorized access. We recommend that Home Assistant developers take steps to address these vulnerabilities in order to improve the security of their systems. We hope that our study will help to raise awareness of the security risks associated with IoT devices and encourage developers to take steps to protect their users.
Participatory Epidemiology of Endemic Bovine Diseases amongest Dasanech and Nyangatom Pastoralists, South Omo Zone, Ethiopia
Authors: Mulugeta Yebelayhun , Hordofa Debele , Elias Defar 
Published: September 2023

Abstract
A community based cross-sectional study was conducted to validate the existing veterinary knowledge of Dasanech and Nyangatom pastoralists on endemic diseases and to determine their perception of rank, morbidity, and mortality of the disease. The study was conducted among South Omo Pastoralists in Ethiopia from September 2021 to June 2022. Using participatory appraisal methods, 96 informants were included in the study to provide in-depth information. The results showed that Anthrax, Contagious Bovine Pleuropneumonia, Trypanosomiasis, Pasteurellosis, and Lumpy Skin Disease were the five most important diseases prioritized in the study areas based on the impact on livelihood. The relative prevalence of these diseases were 18%, 16.5%, 6%, 8.5% and 3.4%, with case fatality rates of 14%, 10.88%, 5.58%, 5.3%, and 2% respectively. The study also revealed that pastoralists had good knowledge of these diseases and their clinical signs. The study showed that the concordance between informant groups, veterinary literatures, and research works showed that Dasanech and Nyangatom pastoralists are knowledgeable about endemic bovine diseases. Therefore, the study recommended that disease control intervention measures in the area should involve the community and consider these diseases.
Field demonstration of UV-LED disinfection at small and decentralized water facilities
Authors: Oguma Kumiko 
Published: September 2023

Abstract

Ultraviolet light-emitting diodes (UV-LED) can be a good option for disinfecting water in small and decentralized facilities. A flow-through UV-LED disinfection module was evaluated at three remote locations in Japan. The disinfection efficiency of the module was monitored for over one year, targeting indigenous Escherichia coli, total coliforms, standard plate count, and heterotrophic plate count (HPC) bacteria. The physicochemical parameters of the source water, including UV transmittance (UVT), were also monitored to understand their natural fluctuation and impacts on UV disinfection. Overall, the UV-LED module showed efficient disinfection at all locations, achieving 2.7 log inactivation of E. coli at 30 L/min in a community-based water supply. HPC inactivation did not significantly differ among the three test sites (p &gt; 0.01). One test site experienced a decrease in HPC inactivation after 10 months, whereas the other two sites did not show performance deterioration after one year. HPC inactivation was not correlated with the UVT of source water at any location, implying the difficulty to use UVT as a single parameter to predict disinfection efficiency in practical applications. This study demonstrates the effectiveness of UV-LED technology for water disinfection in small and decentralized water supply systems.
Nanocomposites from spent coffee grounds and iron/zinc oxide: green synthesis, characterization, and application in textile wastewater treatment
Authors: Reyes-Pérez J. A. , Roa-Morales G. , De León-Condes C. A. , Balderas-Hernández P. 
Published: September 2023

Abstract

This study reports on a novel composite of bimetallic FeO/ZnO nanoparticles supported by spent coffee grounds (SCGs). The leaves of eucalyptus (Eucalyptus globulus Labill) and trumpet (Cuphea aequipetala Cav), with their high antioxidant content, serve as bio-reductant agents for the green synthesis of nanoparticles. It was characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), and transmission electron microscopy (TEM). Stable nanoparticles were produced with different diameters of 5–30 nm, and they were applied as catalysts in Fenton-like processes. Box–Behnken experimental design (BBD) was used to determine the optimal removal efficiency with three factors and was used in the degradation of textile dyes from wastewater. The nanocomposite displayed a high decolorization ratio (88%) of indigo carmine in the presence of H2O2 combined. This resulted in a reduction in chemical oxygen demand (COD) of 56% at 120 min of contact time at an initial pH of 3.0 and a 0.5 g/L of catalyst dose, a H2O2 concentration of 8.8 mM/L, an initial dye concentration of 100 mg/L, and a temperature of 25 °C.