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Ethnocultural heritage of the North-Eastern Caucasus as a factor of eco-tourism development

Journal of Mountain Science 2024年第8期21卷 2810-2824页

作者： Zaburaeva Khava sh. Complex Research Institute named after Kh.I.Ibragimov of the Russian Academy of Sciences Grozny 366002Russia

The North-East Caucasus is a multi-ethnic mountain macroregion with a rich cultural heritage,insufficiently studied in the context of the ecotourism *** fill this gap and identify promising directions of environmentally safe forms of tourism,the author used in-depth review of modern literature to investigate the features of ecological tourism and the problems of preserving ethno-cultural heritage,and used historical and comparative-geographical methods to analyze the development of the tangible and intangible cultural heritage of the indigenous peoples of the North-Eastern Caucasus in different historical periods and to identify the geographical peculiarities of the distribution of historical and cultural monuments(tower buildings),pilgrimage sites and centers of traditional crafts and *** part of the planned expeditions,the author personally visited some historical monuments and handicraft centers for a deeper study of ethno-cultural *** cartographic method made it possible to visualize the *** results of the research show that the ethnocultural heritage of the North-East Caucasus is formed by material(historical and cultural monuments)and immaterial elements of culture(language,customs,traditions,ethnic identification)of those peoples,who live *** ethnocultural heritage is considered as the most important factor in the development of the tourism *** is revealed that this region has a large potential for development in various areas of *** highest concentration of religious buildings focused in mountainous *** tower structures were erected in mountainous and high-altitude *** ancient times to the present day there have been preserved various types of crafts and trades(pottery,metalworking,burka making,jewelry making,carpet weaving,gold embroidery,wood and stone carving,etc.),which can become objects of *** ethnocultural heritage of the North-East Caucasus needs to be preserved a

关键词： Mountainous districts Sustainable development Prospects Stone Towers Folk crafts

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Deep Learning-Based Classification of Rotten Fruits and Identification of shelf Life

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Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： S.Sofana Reka Ankita Bagelikar prak.sh venugopal V.Ravi Harimurugan Devarajan Centre for Smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional *** primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to *** impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the *** overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf *** agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf ***,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten *** proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and ***,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf *** results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best *** comparison to other pre-trained models,the visual geometry group16(VGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf *** developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated ***,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16

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Mechanism of microbial spore inactivation through electromagnetic radiations:a review

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Journal of Future Foods 2024年第4期4卷 324-334页

作者： Piyush sharma Arun Prasath venugopal Parag prak.sh Sutar Hong-wei Xiao Qi Zhang Deparment of Food Process Engineering.National Institute of Techmology Rourkela Odisha 769008India College of Engineering China Agriculural UniversityBeijing 100083China School of Mechanical Engineering Yangzhou UTniversiny Yangzhou 225002China

Spores are the biological structures formed out of sporulation from vegetative cells in adverse *** tolerant to many extreme environment and conditions,they escape and survives critical processing steps in the food industry that poses food and health safety problems,as is evident from the increase in reports of food-bome outbreaks due to *** radiation(EM)is used for rapid decontamination and sterilization purposes in the food *** studies have reported a greater reduction in spore population upon irradiation with EM rays due to its impact on genomic material and other components of spores that destabilises overall structue and brings clonogenic death However,there is scattered literature regarding the mechanism of its inactivation and resistance against such *** review attempts to concisely evaluate the potential of electromagnetic radiations in spore inactivation and details its mechanism through a collective study of scientific results and *** also briefs about the process of sporulation,the structure of spores and the role of its components in the resistance of spores to *** studies,which demonstrated that combining various EM treatments might be an effective way for inactivation of spores,were discussed in detail.

关键词： Spore structure Electromagnetic radiations Mechanism of inactivation Damage resistance

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Enhancing Canola Yield and Photosynthesis under Water Stress with Hydrogel Polymers

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1623-1645页

作者： Elham A.Badr Gehan sh.Bakhoum Mervat sh.Sadak Ibrahim Al-Ashkar Mohammad Sohidul Islam Ayman El Sabagh Magdi T.Abdelhamid Field Crops Research Department National Research CentreCairo12622Egypt Botany Department National Research CentreCairo12622Egypt Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh12271Saudi Arabia Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Research Centers Montana State UniversityBozemanMT 59717USA

While Egypt’s canola production per unit area has recently grown,productivity remains low,necessitating increased *** are water-absorbent polymer compounds that can optimize irrigation schedules by increasing the soil’s ability to retain ***,twoﬁeld experiments were conducted to examine hydrogel application to sandy soil on canola growth,biochemical aspects,yield,yield traits,and nutritional quality of yielded seeds grown under water deﬁcit stress *** experiments were conducted by arranging a split-plot layout in a randomized complete block design(RCBD)with three times replications of each *** water stress at 75%or 50%of crop evapotranspiration(ETc)lowered chlorophyll a,chlorophyll b,caro-tenoids,and total pigments content,indole-3-acetic acid,plant development,seed yield,and oil and total carbo-hydrates of seed yield,hydrogel treatment enhanced all of the traits mentioned ***,hydrogel enhanced to gather compatible solutes(proline,amino acids,total soluble sugars),phenolics content in leaves,seed protein,and crop water productivity,which increased while the plants were under water *** results revealed that the full irrigation(100%ETc)along with hydrogel compared to water-stressed(50%ETc)led to enhanced seed yield(kg ha^(-1)),Oil(%),and Total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,***,under water-stressed plots with hydrogel exhibited enhancement by 10.0%,3.2%and 5.1%in seed yield(kg ha^(-1)),oil(%),and total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,respec-tively compared to *** a result,the use of hydrogel polymer will be a viable and practical solution for increasing agricultural output under water deﬁcit stress situations.

关键词： Hydrogel oil osmolytes rapeseed yield water stress

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Improved Dwarf Mongoose Optimization Algorithm for Feature Selection:Application in Software Fault Prediction Datasets

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Journal of Bionic Engineering 2024年第4期21卷 2000-2033页

作者： Abdelaziz I.Hammouri Mohammed A.Awadallah Malik sh.Braik Mohammed Azmi Al-Betar Majdi Beseiso Department of Computer Science Al-Balqa Applied UniversityAl-Salt19117Jordan Department of Scientific Research and Graduate Studies University of Prince Mugrin42241MedinaSaudi Arabia Department of Computer Science Al-Aqsa UniversityGaza4051Palestine Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Information Technology Al-Huson University CollegeAl-Balqa Applied UniversityAl-HusonIrbid21110Jordan

Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational *** paper presents an enhanced approach to FS for software fault prediction,specifically by enhancing the binary dwarf mongoose optimization(BDMO)algorithm with a crossover mechanism and a modified positioning updating *** proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction *** gained superb performance compared to other well-esteemed optimization methods across 17 benchmark *** ranked first in 11 out of 17 datasets in terms of average classification ***,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all *** findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.

关键词： Dwarf mongoose optimization algorithm Optimization Feature selection Classification

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Synergistic Swarm Optimization Algorithm

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2557-2604页

作者： sharaf Alzoubi Laith Abualigah Mohamed sharaf Mohammad sh.Daoud Nima Khodadadi Heming Jia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmman11953Jordan Computer Science Department Al Al-Bayt UniversityMafraq25113Jordan Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia School of Engineering and Technology Sunway University MalaysiaPetaling Jaya27500Malaysia Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia College of Engineering Al Ain UniversityAbu Dhabi112612United Arab Emirates Department of Civil and Architectural Engineering University of MiamiCoral Gables1251USA School of Information Engineering Sanming UniversitySanming365004China

This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm(SSOA).The SSOA combines the principles of swarmintelligence and synergistic cooperation to search for optimal solutions efficiently.A synergistic cooperation mechanism is employed,where particles exchange information and learn from each other to improve their search *** cooperation enhances the exploitation of promising regions in the search space while maintaining exploration ***,adaptive mechanisms,such as dynamic parameter adjustment and diversification strategies,are incorporated to balance exploration and *** leveraging the collaborative nature of swarm intelligence and integrating synergistic cooperation,the SSOAmethod aims to achieve superior convergence speed and solution quality performance compared to other optimization *** effectiveness of the proposed SSOA is investigated in solving the 23 benchmark functions and various engineering design *** experimental results highlight the effectiveness and potential of the SSOA method in addressing challenging optimization problems,making it a promising tool for a wide range of applications in engineering and *** codes of SSOA are available at:https://***/matlabcentral/fileexchange/153466-synergistic-swarm-optimization-algorithm.

关键词： Synergistic swarm optimization algorithm optimization algorithm metaheuristic engineering problems benchmark functions

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Reversed-Phase-HPLC Assay Method for Simultaneous Estimation of Sorbitol, Sodium Lactate, and Sodium Chlorides in Pharmaceutical Formulations and Drug Solution for Infusion

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American Journal of Analytical Chemistry 2024年第2期15卷 57-71页

作者： Sreenivas Pippalla venugopal Komreddy Srinivasulu Kasa Vaishnavi Chintala Poluri Venkata Reddy Department of Chemistry Sikkim Professional University Gangtok India Analytical Research & Development Hikma Pharmaceuticals USA Inc. Bedford USA Department of Chemistry Osmania University Hyderabad India Analytical Research & Development Cambrex High Point High Point USA Department of Analytical Chemistry Annamalai University Annamalai Nagar India

A rapid, straightforward, sensitive, efficient, and cost-effective reverse-phase high-performance liquid chromatographic method was employed for the simultaneous determination of Sorbitol, Sodium Lactate, and Chlorides in a drug solution for infusion. Sorbitol, Sodium lactate, and Chloride are all officially recognized in the USP monograph. Assay methods are provided through various techniques, with titrations being ineffective for trace-level quantification. Alternatively, IC, AAS, and ICP-MS, though highly accurate, are costly and often unavailable to most testing facilities. When considering methods, it’s important to prioritize both quality control requirements and user-friendly techniques. A simple HPLC simultaneous method was developed for the quantification of Chlorides, Sorbitol, and Sodium Lactate with a shorter run time. The separation utilized a shimpack SCR-102(H) ion exclusion analytical column (7.9 mm × 300 mm, 7 μm), with a flow rate of 0.6 mL per min. The column compartment temperature was maintained at 40°C, and the injection volume was set at 10 μL, with detection at 200 nm. All measurements were conducted in a 0.1% solution of phosphoric acid. The analytical curves demonstrated linearity (r > 0.9999) in the concentration range of 0.79 to 3.8 mg per mL for Sodium Lactate (SL), 0.16 to 0.79 mg per mL for Sodium Chloride (SC), and 1.5 to 7.2 mg per mL for Sorbitol. Validation of the developed method followed the guidelines of the International Conference on Harmonization (ICH Q2B) and USP. The method exhibited precision, robustness, accuracy, and selectivity. In accelerated stability testing over 6 months, no significant variations were observed in organoleptic analysis and pH. Consequently, the developed method is deemed suitable for routine quality control analyses, enabling the simultaneous determination of Sodium Lactate, Sodium Chloride, and Sorbitol in pharmaceutical formulations and infusions.

关键词： Sorbitol Sodium Lactate and Chloride Assay Analytical Validation HPLC

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中国特色社会主义政治经济学基本方法论的传承与创新

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经济学动态 2024年第4期 3-11页

作者：黄少安山东大学经济研究院 250100

研究对象统一和规范了所有政治经济学的一般性特征,中国特色社会主义政治经济学也必须符合这个一般性。研究方法、内容、范式和目的决定或赋予不同经济学流派的特色。中国特色社会主义政治经济学的特色有三个维度,在基本方法论维度可能... 详细信息

研究对象统一和规范了所有政治经济学的一般性特征,中国特色社会主义政治经济学也必须符合这个一般性。研究方法、内容、范式和目的决定或赋予不同经济学流派的特色。中国特色社会主义政治经济学的特色有三个维度,在基本方法论维度可能有两个方面的创新或特色:一是发展和完善了的、本质主义与历史主义结合的历史唯物主义;二是有意识地从中华传统的、优秀的文化中寻找相关的、既符合人类合作性又切合中国作为公有制为主体的实际情况的文化元素,提炼成为经济学基本方法论的“主义”。在创建和完善中国特色社会主义政治经济学的过程中,需要处理好几个重要关系:一是处理好“一般”与“特色”的关系;二是处理好积累和传承与创新的关系;三是处理好通用学术语言与学术话语权的关系;四是处理好学理支撑与联系实际和服务现实的关系。

关键词：中国特色社会主义政治经济学一般性与特色基本方法论的传承与创新

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Swift XRT Analysis of Type II-P Supernova SN 2008ij

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International Journal of Astronomy and Astrophysics 2024年第3期14卷 220-229页

作者： sh. M. shehata Ahmed M. Fouad R. M. Samir A. A. shaker National Research Institute of Astronomy and Geophysics (NRIAG) Helwan Egypt

This study investigates the X-ray properties and evolution of Type II supernovae (SNe II) observed by Swift, examining variations among supernovae and exploring their X-ray characteristics over time. We present the first X-ray study of the Type IIp supernova SN 2008ij using data from the Swift X-ray mission. This investigation focuses on its spectral properties, identifying an X-ray flux of 1.20 (+0.11, −0.10) × 10−13 erg/cm2/s and a plasma temperature of 4.76 (+1.22, −0.83) keV. Our study marks an advancement in understanding SN 2008ij, providing crucial results into its X-ray emission characteristics. These results lay the groundwork for future studies of Type IIp supernovae, offering a foundation for exploring their evolutionary and physical processes.

关键词： X-Ray Core Collapse Supernova Swift (XRT) Observations

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Performance analysis of jig for coal cleaning using 3D response surface methodology

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International Journal of Mining Science and Technology 2017年第2期27卷 333-337页

作者： Kumar shravan venugopal R. Department of Fuel and Mineral Engineering Indian Institute of Technology(ISM)Dhanbad826004India

Beneficiation of coal of -4.76 mm + 3 mm size fraction was investigated in a laboratory model Denver *** variables were studied to analyze their effect on the performance of jig in terms of yield and ash content of clean coal. Three-factor three-level Box-Behnken design of experiments with response surface methodology(RSM) was employed to understand the performance behavior of jig. From the study, the bed height was found to be the most significant parameter affecting the yield and ash content of clean coal. It was possible to reduce the ash content from 24.32% in feed to an ash content of 16.55% in clean coal at 2 L/min water flow rate and 10 min jigging time. Influence of operating variables of the jig on responses was presented and discussed in 3D surface plots. The developed model was found to be significant within the range of parameters under investigation with correlation of co-efficient values as 0.99(yield) and 0.98(ash).

关键词： Coal beneficiation Jigging Bed height 3D-RSM Box-Behnken

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