bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biological control of Alternaria alternata causing surface rot on Amasya Apples using apple endophytic bacteria
Authors: Bektas Idris , Yazdic Ferit Can , Kusek Mustafa 
Published: October 2023

Abstract
In this study, an isolate of Alternaria alternata, the causal agent of apple fruit rot, was isolated from rotten cv Amasya Apple and identified based on ITS gene analysis and morphological analyses. Out of 58 different endophytic bacteria isolated from internal tissues of apples, twenty-six isolates caused the radial growth inhibition of A. alternata in dual cultures. Based on 16S rRNA sequencing analysis, these endophytic antagonistic bacteria were identified as Bacillus ssp. Bacillus methylotrophicus(ib17) exhibited the highest significant inhibitory effect on the mycelial growth of A. alternata at a rate of 79.45% under in vitro conditions. The in vivo analysis revealed that the biocontrol efficiency of the Bacillus licheniformis(ib20) against A. alternata reached 100% with a treatment duration of 24 h before the introduction of A. alternata. When the bacteria and A. alternata were introduced simultaneously, Bacillus amyloliquefaciens(ib1), Bacillus licheniformis(ib21), and Endophytic bacterium (ib16) showed the highest biocontrol effect against A. alternata at 81.8%. Moreover, when the bacteria introduced 24 h after A. alternata, Bacillus licheniformis(ib21) showed the highest biocontrol efficacy at 83.3% against the fungus compared to the controls. The endophytic bacteria could produce fungus cell wall hydrolyzing enzymes such as chitinase, cellulase, amylase, and protease. According to the results of this study, apple endophytic bacteria are a potential candidate to control apple rot caused by A. alternata due to cell wall hydrolyzing enzymes, as well as to reduce disease severity. However, further research needs to be carried out on the biochemical basis of their activity against A. alternata.
Untargeted GC-MS metabolomics combined with multivariate statistical analysis as an effective method for discriminating the geographical origin of shrimp paste
Authors: Ji Xiaoyue , Ji Wensu , Ding Linfei 
Published: October 2023

Abstract
Traditional fermented shrimp paste is wildly recognized for its distinctive flavor, exceptional nutritional value, and numerous health benefits. The volatile components of shrimp paste can be influenced by the production process and geographical environment, thereby reflecting its unique characteristics and quality. The objective of this study was to investigate the correlation between shrimp paste produced from different geographical origins and establish a rapid and accurate method for distinguishing them. To accomplish these objectives, the volatiles of shrimp paste from various regions were extracted using headspace solid-phase micro-extraction (HS-SPME) and subsequently analyzed by GC-MS. The data is preprocessed through MS-DIAL and then subjected to multivariate statistical analysis, wherein correlation analysis, principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA), and orthogonal partial least square-discriminant analysis (OPLS-DA) were collectively employed. The findings demonstrate that OPLS-DA exhibits a favorable discriminant region in the context of discriminant analysis. The integration of untargeted GC-MS metabolomics with multivariate statistical analysis offers a rapid and efficient approach for discriminating shrimp paste originating from diverse regions, which circumvents the time-intensive process of volatile compound identification.
Multi-robots dynamic path planning based on improved A* algorithm
Authors: Li Pei zheng , Xie Cong , Guo Xin 
Published: October 2023

Abstract

Intelligent warehousing based on multi-robot system has become the main solution to improve the efficiency of logistics warehousing. At present, the research on intelligent warehouse multi-robots system mainly focuses on task allocation, obstacle avoidance and path planning. In order to solve the traffic congestion problem caused by multiple robots working at the same time in an intelligent warehouse system, a dynamic path planning algorithm for multiple robots based on reservation grid was proposed. Firstly, the collision between robots is prevented by the method of reservation grid and directed graph. Then, the reservation grid is used to generate the traffic congestion map, which displays the congestion status of the current warehouse map in real time. Finally, by improving the A* algorithm, the dynamic path planning of multiple robots is realized, the traffic congestion problem between the robots is solved, and the system efficiency is improved. Simulation experiments are conducted to compare the proposed method with the traditional method, and the effectiveness of the multi-robot path planning method is verified and The range of task allocation parameters under the optimal operating efficiency is tested.
Comparison of the Postoperative Outcomes in Combined Vitrectomy with Sutured Scleral Intraocular Lens Fixation versus Sutureless Intrascleral Haptic Fixation
Authors: Cha Jae Bong , Youn Hyun Chul , Min Jung Kee 
Published: October 2023

Abstract
Purpose
The study aimed to compare the postoperative refraction outcomes between two techniques and evaluate the incidence of iris-optic capture in patients who underwent sutured scleral intraocular lens fixation (sutured SF IOL) and sutureless intrascleral haptic fixation (sutrueless SF IOL; Yamane technique).
Methods
Medical records of patients who underwent two types of SF IOL technique were retrospectively analyzed. The sutured SF IOL group included 24 eyes, whereas the sutureless SF IOL group included 41 eyes. The spherical equivalent (SE) difference (postoperative SE – target SE) was measured using an automatic refractive keratometer 2 months after the surgery. The occurrence of iris-optic capture was also confirmed during the 2-month follow-up after the surgery.
Results
In the sutured SF IOL group, the postoperative SE was − 1.00 ± 1.07, and subtracting the target SE from the postoperative SE obtained − 0.42 ± 0.69, which showed a myopic shift tendency. In the sutureless SF IOL group, the postoperative SE was − 0.34 ± 1.03, and subtracting the target SE from postoperative SE obtained 0.25 ± 0.71, showing a hyperopic shift tendency. Iris-optic capture was noted only in the sutured SF IOL group (4/24 eyes).
Conclusions
With the sutureless SF IOL technique, the setting of refraction is similar to the target refraction before surgery, and IOL-iris irritation is minimized, reducing complications such as iris-optic capture.
A pan-cancer analysis of the core pre-mRNA 3′ end processing factors, and their association with prognosis, tumor microenvironment, and potential targets
Authors: Li Xiangyu , Che Yu , Wang Xiaoyan , Zhu Yong 
Published: October 2023

Abstract

Alternative polyadenylation (APA) is a crucial mechanism for regulating gene expression during pre-mRNA 3′ processing. Pre-mRNA 3′ end processing factors is the main factor involved in this process. However, pre-mRNA 3′ end processing factors in different cancer expression profiles and the relationship between pre-mRNA 3′ end processing factors and tumor microenvironment and the prognosis of the same patient is still unclear. In this study, we conducted a comprehensive exploration of the core pre-mRNA 3′ end processing factors across various cancer types by utilizing common cancer database, and revealing a robust correlation between the expression of these core factors and tumor characteristics. Leveraging advanced bioinformatics databases, we evaluated the expression levels and prognostic relevance of pre-mRNA 3′ end processing factors across pan-cancer tissues. Our extensive pan-cancer analysis revealed unique expression patterns of pre-mRNA 3′ end processing factors in both tumor and adjacent non-tumorous tissues. Notably, we found a significant correlation between the expression levels of pre-mRNA 3′ end processing factors and patient prognosis. Furthermore, we identified strong associations between pre-mRNA 3′ end processing factors expression and various factors, such as stromal, immune, RNA stemness, and DNA stemness scores across pan-cancer tissues. Our data also highlighted a link between the expression of pre-mRNA 3′ end processing factors and sensitivity to specific drugs, including pyrazoloacndine, amonaflide, and chelerythrinede, among others. We found four key pre-mRNA 3′ end processing factors that play a crucial role in mRNA preprocessing. Our study illuminates the potential promotion and inhibition role of pre-mRNA 3′ end processing regulators in the progression of cancer, CPSF2, CPSF3, CSTF2, SYMPK offering valuable insights for future research investigations on these regulators as diagnostic markers and therapeutic targets across pan-cancer.
Improved qARM algorithm for frequent itemsets search in large-scale data sets
Authors: Qi han , Wang liyuan , Fu dianshuo , Gani Abdullah , Gong changqing 
Published: October 2023

Abstract
The existing Quantum Algorithm for Association Rules Mining(qARM) need to set the quantum oracle of data artificially when mining frequent itemsets, which is very time-consuming when dealing with large-scale data. Based on the Cn − X gate and extended Grover algorithm (less-than-oracle), this paper proposes an improved method. In the process of calculating support degree, the original quantum phase estimation algorithm is abandoned, and the combined gate based on the Cn − X gate is used to calculate support, so as to improve the accuracy of calculating support. Then, the extended Grover algorithm is modified to screen the support degree. By using IBM’s Qiskit tool for simulation experiments, the data sets with sizes of 2x2 and 4x4 and fragments 29 − 32 items of data for the dataset Market Basket Optimization.The simulation results shown that,when dealing with large-scale data sets, it is no longer necessary to prepare quantum oracle for all data in advance. In the valid data, its search accuracy can reach 90% on average.
Research on video action recognition based on Tri-Element Comprehensive Perception Attention
Authors: wu yuwei , Li Fei , Zhang Xu 
Published: October 2023

Abstract

When pursuing efficient methods for video action recognition, compared to target detection tasks, the recognition of actions and the temporal sequence of information are intricately connected. So, it often requires more complex models. Additionally, the recognition of action typically involves multiple feature dimensions. How to capture the correlations between different feature dimensions effectively is important for improving the accuracy of action recognition. To face these challenges, we propose a lightweight and effective module called the Tri-Element Comprehensive Perception Attention (TCP) module, which contains three parts: Channel Cross Attention, Spatial Fusion Attention, and Motion Perception Attention. These parts respectively learn information in the channel dimension, spatial dimension, and motion feature dimension through videos, and capture the inter-dimensional correlations effectively. Through extensive experiments, we verify the effectiveness of TCP and its sub-modules in terms of video-level accuracy and frame-level accuracy on the UCF101 and HMDB51 datasets. For example, using 3D Resnet as the backbone network, TCP attention achieves an accuracy of 93.13% and 70.46% on UCF101 and HMDB51 datasets, with improvements of 3.53 and 8.06 percentage points compared to the original model. Compared to advanced methods in this field, TCP demonstrates superior performance in action recognition tasks.
Cyclic Directed Probabilistic Graphical Model: A Proposal Based on Structured Outcomes
Authors: Sirotkin Oleksii 
Published: October 2023

Abstract
In the process of building (structural learning) a probabilistic graphical model from a set of observed data, the directional, cyclic dependencies between the random variables of the model are often found. Existing graphical models such as Bayesian and Markov networks can reflect such dependencies. However, this requires complicating those models, such as adding additional variables or dividing the model graph into separate subgraphs. Herein, we describe a probabilistic graphical model—probabilistic relation network— that allows the direct capture of directional cyclic dependencies during structural learning. This model is based on the simple idea that each sample of the observed data can be represented by an arbitrary graph (structured outcome), which reflects the structure of the dependencies of the variables included in the sample. Each of the outcomes contains only a part of the graphical model structure; however, a complete graph of the probabilistic model is obtained by combining different outcomes. Such a graph, unlike Bayesian and Markov networks, can be directed and can have cycles. We explored the full joint distribution and conditional distribution and conditional independence properties of variables in the proposed model. We defined the algorithms for constructing of the model from the dataset and for calculating the conditional and full joint distributions. We also performed a numerical comparison with Bayesian and Markov networks. This model does not violate the probability axioms, and it supports learning from observed data. Notably, it supports probabilistic inference, making it a prospective tool in data analysis and in expert and design-making applications.
Stability of magnesite in the presence of hydrous fluids up to 12 GPa: Insights into subduction zone processes and carbon cycling in the Earth’s mantle
Authors: Sieber Melanie J. , Reichmann Hans Josef , Farla Robert , Koch-Müller Monika 
Published: October 2023

Abstract
Understanding the stability of magnesite in the presence of a hydrous fluid in the Earth’s upper mantle is crucial for modeling the carbon budget and cycle in the deep Earth.
This study elucidates the behavior of magnesite in the presence of hydrous fluids. We examined the brucite-magnesite [Mg(OH)2-MgCO3] system between 1 and 12 GPa by using synchrotron in situ energy-dispersive X-ray diffraction experiments combined with textural observations from quenched experiments employing the falling sphere method. By subjecting magnesite to varying pressure-temperature conditions with controlled fluid proportion, we determined the stability limits of magnesite in the presence of a fluid and periclase.
The observed liquidus provides insights into the fate of magnesite-bearing rocks in subduction zones. Our findings show that magnesite remains stable under typical subduction zone gradients even when infiltrated by hydrous fluids released from dehydration reactions during subduction. We conclude that magnesite can be subducted down to and beyond sub-arc depths. Consequently, our results have important implications for the carbon budget of the Earth’s mantle and its role in regulating atmospheric CO2 levels over geological timescales.
کەلتوری ئوروک و بڵاوبوونەوەی لە کوردستان
Authors: Fatah Othman Tawfeeq , Ahmad Kozad Muhammad 
Published: October 2023

– ئوروک بە سەردەمی بڵاوبوونەوەی شارستانیەت دەبینرێت، کە زۆربەی مێسۆپۆتامیا و زاگرۆسیی کۆنی داپۆشیبو. کوردستانی کۆنیش بەشێک بووە لەو کلتورە و بۆ ماوەیەکی زۆر کۆنترۆڵی کوردستانی دەکرد لە ڕێگەی بنکە بازرگانی و کارگێڕییەکانیەوە، بەڵام دانیشتوانی ئەودەمەی کوردستان هەمیشە کلتووری خۆیان پاراستووە. سەرەڕای ئەوەش، دۆزینەوە شوێنەوارییە نوێیەکان لە کوردستانی باشوور زانیاری جیاوازتر پێشکەش دەکەن لەوانەی کە دەربارەی ئەم کەلتوورە لە باشووری مێزۆپۆتامیا زانراوە. ئەم توێژینەوەیە باس لە سەرهەڵدان و ئاوابوونی کەلتوری ئوروک ئەکات و باس لە گرنگترین شوێنەکانی کوردستان ئەکات کە کەرەستەی بەرجەستەی ئەم کەلتورەی لەخۆگرتوە.
Agroecología, un campo emergente para la enseñanza de las ciencias naturales: análisis bibliométrico 2012-2022
Authors: Norato Quevedo Nancy Paola , Hernández Barbosa Rubinsten 
Published: October 2023

Este texto presenta un análisis bibliométrico realizado con trabajos publicados en diferentes bases de datos especializadas durante los años 2012-2022 sobre la agroecología, su relación con la educación y las posibles oportunidades investigativas y didácticas, que desde la misma puedan surgir como campo emergente de estudio. Con el análisis se busca contestar la siguiente pregunta: ¿Cuáles son las categorías de trabajo que se perfilan dentro del campo investigativo emergente de la Agroecología, en la enseñanza de las Ciencias Naturales en contextos rurales entre los años 2012 y 2022? Para la búsqueda de los artículos de las bases de datos se definieron las siguientes palabras clave: Agroecología, Enseñanza de las Ciencias Naturales y Educación Rural. En total se seleccionaron 122 artículos que se alineaban con estas palabras. Se establecieron tres criterios de análisis: el primero, corresponde a características generales de los artículos, clasificación, país, año de publicación e idioma; el segundo se relaciona con las áreas de investigación vinculadas a las publicaciones, el factor de impacto de revistas científicas nacionales e internacionales y autores. El tercero, analiza los documentos que presentan correspondencia en las palabras clave: agroecología, enseñanza de las ciencias naturales y educación rural, seleccionadas en esta investigación. Como conclusión, la agroecología se considera un campo emergente para la enseñanza de las ciencias naturales en contextos rurales, que ha presentado un crecimiento notable, evidenciado por el significativo aumento de publicaciones en revistas científicas.
Educación especial e inclusiva para la discapacidad intelectual, una perspectiva desde la Educación Física
Authors: Romero Lozano Herney , Romero Cuestas Carlos Alberto , Quintero Reina Maximiliano 
Published: October 2023

Los niños con discapacidad intelectual representan uno de los grupos más numerosos que han sido incluidos en los procesos educativos formales, esto ha generado un reto para la comunidad educativa, generando cambios de pensamiento y actuación en pro de garantizar las mejores condiciones de aprendizaje. El presente artículo de revisión surge de la contextualización teórica de la investigación Perfil motriz de niñ@s escolares en condición de discapacidad intelectual leve y moderada caso Mérida Venezuela y Fusagasugá Colombia, representa una revisión del desarrollo investigativo durante los últimos cinco años visto desde la Educación Física, para ello se recurrió a bases de datos disponibles en red, identificando las tendencias investigativas sobre la discapacidad intelectual leve y moderada a nivel escolar en el contexto de la Educación Física. El estudio evidenció la falta de consenso en la teorización conceptual de la discapacidad, la educación especial, la educación inclusiva y la educación Física especial e inclusiva, ahondó en el proceso de valoración del desempeño motor en los escolares con discapacidad intelectual leve y moderada, proponiendo investigaciones futuras que permitan la validación de test existentes o la generación de nuevas estrategias de evaluación motriz con estas poblaciones.
Effect of Different Feeding Methods on Milk Production and Composition of Lactating Punganur Cows
Authors: AMBATI CHANDRA MOULI , Devasena  , MVAN Suryanarayana , G GANGARAJU , MADA SNEHA SHARADA 
Published: October 2023

The present experiment was conducted during January–August, 2021 at Livestock Research Station, Palamaner, Chittoor, Andhra Pradesh, India to study the effect of different feeding methods on production performance in lactating Punganur cows. A lactation study of 90 days duration was conducted on 16 lactating Punganur cows which were distributed (CRD) into four treatment groups comprising of 4 animals each. Animals of Control group were maintained as per the feeding practice followed by the farmers rearing Punganur cows in Chittoor district (Hedge lucerne, Paddy straw and Concentrate mixture), T2 group fed with Super Napier grass Paddy straw and Concentrate mixture, T3 group fed with Paddy straw, concentrate mixture and UMMB and T4 group fed with TMR. The average FCM yield (kg d-1) was highest (p<0.05) in T4 followed by T3 or T2 and lowest in T1. The Protein and lactose content (%) of milk was highest (p<0.05) in T4 and lowest in T3, while Fat and SNF (%) remained unaltered. The efficiency of milk production (kg/kg FCM) of DMI and TDNI lowest (p<0.05) in T4, While CPI and DCPI lower (p<0.05) in T4 or T3 as compared to T2 or T1. The cost economics of milk production indicated that the feed cost (`) per kg FCM yield was lowest (p<0.05) in T3. The study concluded that the feed conversion efficiency in terms of DM, CP and Gross energy was highest for TMR group, while cost economics of milk production was better in Paddy straw, concentrate mixture, UMMB and TMR group.
Environmental Efficiency Assessment of Gas Supply Systems Based on Their Life Cycle Analysis
Authors: Bespalov V. I. , Gurova O. S. 
Published: October 2023

Introduction. The most forward-looking method of choosing the optimal technology of the populated areas’ life support systems is the environmental and economic efficiency assessment of each type of such systems, wherein their life cycle assessment analysis is considered to be the primal stage. The scientific problem distinguished by the authors is the need to assess a life cycle of a gas supply system, which provides the organised supply and distribution of gas fuel to consumers. The study aims at finding the optimal combination of the environmental and economic factors for the gas control station variants by means of the life cycle analysis method followed by the environmental and economic efficiency assessment of the gas supply systems’ management and operation.Materials and Methods. The authors' research was based on the object’s life cycle analysis method compliant with the quality management system, methods of selection theory and environmental and economic efficiency assessment of various objects.Results. As a result of the research, it was determined that:- a gas control station is of particular interest in terms of choosing the optimal technology of the organised supply and distribution of gas fuel to consumers;- for gas control stations, the life cycle analysis and environmental and economic efficiency assessment method is the most appropriate one;- a gas control station life cycle includes 11 stages, among which the operational stage is identified by the authors as the main one;- for the selected variants of a gas control station layout, the environmental and economic efficiency assessment is made.Discussion and Conclusions. The life cycle analysis of the gas control stations of the gas supply systems made it possible to distinguish the operational stage as the most significant one. For each of the two variants of such stations selected by the authors, the environmental and economic efficiency assessment was carried out. Upon calculation results, it was discovered that among the variants under consideration, a gas control station with an expander-generator unit has the highest environmental and economic efficiency and its layout could be widely implemented in future.