bluuebunny/crossref_metadata_2025 huggingface dataset:
YOUTH LEISURE SOLIDARITIES IN THE CONTEXT OF RURAL DEVELOPMENT POLICY OF KRASNODAR REGION
Authors:   Kuban State University, Plotichkin N.V. , Khmelnitskaya O.A. ,   Kuban State University
Published: November 2024

The author’s attention is focused on identifying resources, forms, practices, places of formation and implementation, measures of state support for leisure solidarities of rural youth in the Krasnodar Territory. The theoretical contours of the study are outlined by the concept of spatial solidarity, realized in everyday interactions of representatives of various local communities (S. Oosterlynck), the interpretation of youth cultural practices through the prism of the solidarity approach (E. L. Omelchenko), focused on intra- and intergroup com-munications that contribute to the formation of collective identities in youth communities. The analytical optics of modern sociologists focuses not only on the macro level of con-structing dominant structural forms of solidarity within the borders of national states, but also on the micro level of achieving social cohesion of relational places (workplaces, leisure, educational, housing spaces). The design of the study is determined by the explication of sol-idarity as a set of social practices based on interdependence, meetings, common values, and the exchange of various resources, carried out in everyday leisure spaces by young residents of rural communities. The applied research was based on a strategy of mixing qualitative and quantitative methods (questionnaire and expert surveys, interviews). In 2022–2023, a survey of rural youth of Kuban was conducted (N=98, N=103), in 2023, interviews were conducted with experts (N=6) and schoolchildren (N=6) living in non-urbanized areas of the region. The places of construction of youth cohesion are designated as home, social networks, leisure institutions; two forms of youth solidarity are distinguished: direct/ascending and indirect/descend-ing. Barriers to the development of youth leisure solidarities in rural areas are identified: lack of human resources, poor material and technical equipment of cultural and leisure network facilities, lack of innovative creative cultural and leisure sites in rural settlements. The paper describes measures of state support for everyday cultural youth spaces in rural settlements of the Krasnodar Territory.
PREFERENTIAL REGIMES IN THE FAR EASTERN REGION AS A STRATEGIC TOOL OF THE STATE IN THE CONTEXT OF THE “TURN TO THE EAST”
Authors:   MGIMO University, Shestakova M.N.
Published: November 2024

The article analyses preferential regimes as a significant strategic instrument employed by the state for economic advancement and enhancing the investment appeal of the Far Eastern Federal District. Over the past decade, this region has served as a geopolitical outpost of the Russian Federation in accordance with its ‘turn to the East’ strategy. Preferential regimes in the form of free economic zones (FEZs) appeared in the Far East back in the 1990s and were among the first in post- Soviet Russia. However, the efficacy of these regimes has not met ex-pectations. After an extended break, the state resumed its attempts of establishing territories offering advantageous fiscal and investment climates. Nowadays, special economic zones are in operation in a number of regions within the Russian Federation. Nevertheless, preferential regimes play a special role in the Far Eastern Federal District, serving as pivotal reference points for ‘breakthrough’ economic and investment activity across the entire macro- region and potentially the country as a whole. These include not only special economic zones (SEZs), but also advanced development territories (ADTs), the Free Port of Vladivostok (FPV), the In-novation Science and Technology Centre ‘Russkiy’ (ISTC ‘Russkiy’) and even the Arctic Zone of the Russian Federation. It is common practice for governments in many countries to implement preferential economic policies with the objective of stimulating economic growth in specific regions. Such policies produce varying effects. This article presents an analysis of the functioning of preferential regimes in the Far Eastern Federal District, with a particular focus on ASEZ.
GREEN ENERGY VS COAL: SUSTAINABILITY POLICY CRISIS IN SOUTH AFRICA
Authors:   National Research Institute of World Economy and International Relations named after E. M. Primakov of the Russian Academy of Sciences (IMEMO RAS), Ustyuzhantsev O.V.
Published: November 2024

The article explores the impact of global decarbonization trends and climate pledges on the South African coal industry. As alternative energy sources become cheaper and structural changes emerge in the energy sector, negative trends in coal industry development arise, namely industry destabilization. This study aims to investigate the government’s role in this process. It analyzes policy and strategic documents and the discourse surrounding decarbonization and the coal industry’s future. Interviews with coal industry representatives, officials, and experts from government and non-government organizations in South Africa were con-ducted. The study shows that South Africa’s government plays a passive role in managing the destabilization processes in the coal industry caused by global decarbonization trends and climate commitments. It distances itself, exacerbating uncertainty in the industry. There are numerous discursive contradictions within the government itself, leading to a lack of coordination between agencies and hindering the development of a unified strategy to support the coal industry in a changing energy landscape. The author revealed that the government does not support innovations and the implementation of clean technologies in the coal sector. As a re-sult, the industry continues to operate in an outdated and unsustainable mode. Rather than promoting a new development agenda, the government supports an inertial transformation scenario, slowing down the decarbonization process and hindering the transition to more sustainable energy models. The findings are significant for understanding the role of governments in transforming the coal sectors of countries where coal remains a vital element of the econ-omy.
Ипотечное жилищное кредитование в современных условиях
Authors: Rassadina Iana Aleksandrovna , Morozova Nataliia Vital'evna
Published: November 2024

Mortgage housing lending allows you to purchase
real estate, paying initially only a small part of its price,
is a mechanism for the real estate market that ensures the resolution
of the contradiction between the high value (price) of real
estate and the current income level of potential purchasers
of real estate. The relevance of the research topic is due to the fact that
mortgage housing lending is one of the most important elements
of the economic system of the Russian Federation, playing a huge role in
providing housing to the population and improving housing conditions. The purpose
of the study is to study the factors influencing the situation with
housing mortgage lending. The following methods were used in the work: analysis and synthesis,
generalization, grouping, comparison, tabular, etc.
Main directions of human resource development in the civil service of the Russian Federation: state, problems and prospects for the implementation of the national project «Staff”
Authors: Sagan Sofia Vladimirovna
Published: November 2024

The article discusses issues related to human resources technologies in the public service. The problem of the topic of the study is the acute shortage of staff of state authorities of the Russian Federation. The activities to improve public sector personnel policy are proposed within the framework of the national project «Human resources».
Metamorphism of meta-ultramafic rocks from the Qori metamorphic complex (Neyriz, Iran): Implications for arc-related metamorphism
Authors: Fazlnia Abdolnaser , Miri Mirmohammad , Saki Adel
Published: November 2024

The Qori metamorphic complex (QMC) is a part of the Sanandaj–Sirjan zone (SaSZ) of Iran that formed as a result of Cimmerian orogenic movements during the Toarcian (upper Early Jurassic). The complex consists mainly of meta-basites and marbles with interlayers of meta-psammitic, meta-ultramafic, and meta-pelitic rocks. Peak metamorphic mineral assemblages in meta-basites and meta-pelites comprise mostly garnet + hornblende + plagioclase + quartz ± titanite ± biotite and kyanite + garnet + biotite + plagioclase + quartz ± staurolite ± muscovite, respectively. The equilibrium assemblage olivine + orthopyroxene + clinopyroxene + amphibole + spinel + ilmenite ± chromiferrous magnetite in meta-ultramafic rocks formed at the peak metamorphic condition of these rocks. Geothermobarometry calculations and pseudosection modeling obtained 700–800 °C and 6–8 kbar, respectively. The majority of the minerals represent two events of crystallization, especially the spinel grains with flat and convex-concave chemical profiles for their cores and rims. The continental crust of the southern SaSZ underwent two Barrovian-type metamorphic events resulting in its preservation in the QMC meta-ultramafic rocks. The first one, ca. 187 Ma, occurred in association with crustal thickening during the initiation of Neo-Tethys oceanic lithosphere subduction beneath the Central Iran Plate (southeast Eurasia). The second one, ca. 147 Ma, occurred as a result of crustal thickening in the supra-subduction zone. Retrograde metamorphism at the end of the second metamorphism phase, as well as during outcropping towards the surface, resulted in the formation of clinochlore, serpentine, tremolite, talc, and serpentine. The results show that the peak assemblage occurred during the second metamorphic event in the upper amphibolite–lower granulite facies condition.
May Phytomedicines Play a Role in Cardiovascular Risk Reduction?
Authors: Hausmann Sigrun Chrubasik-
Published: November 2024

C.F. suffered myocardial infarction despite low cardiovascular risk as defined by the Swiss Working Group on Lipids and Atheriosclerosis (AGLA). C.F. wished replacement of his synthetic blood pressure lowering and antilipidemic medication by phytomedicines. A combination of standardized cocoa and black garlic extracts with coenzyme Q10 plus black seed oil with 30 mg thymoquinone in the daily dose normalized total cholesterol and maintained low blood pressure. However, the AGLA desired setpoint of LDL cholesterol (below 1.6 mmol/L) was not achieved. Since such low LDL cholesterol concentrations are not necessarily associated with less mortality, we agreed that C.F. continued with the phytomedicines because his quality of life was better than during the intake of the synthetic medications.
Özgünlük ve Gastronomi Deneyiminin Tekrar Ziyaret Niyeti ve Ağızdan Ağıza İletişim Üzerindeki Etkisi: Gaziantep Örneği
Authors: Yıldız Evrim , Hökelekli Neslihan Aybike
Published: November 2024

Turizm faaliyetleri içerisinde gastronomi ve yerel yiyecekler önemli yer tutmaktadır. Turistler artık seyahatlerini planlarken “görülmesi gereken” unsurlardan daha çok “deneyimlenmesi gereken” unsurları göz önünde bulundurmaktadır. Deneyimlenmesi gereken ve yerel kültürü yansıtan önemli turistik ürünlerden birisi de yerel yiyeceklerdir. Buna göre bazı turistler kendine has nitelikleri olan yiyecekleri tüketerek akılda kalıcı deneyim yaşamak için seyahat etmektedirler. Araştırmanın amacı Gaziantep bölgesine gelen ziyaretçilerin yerel yiyeceklerden algıladıkları özgünlüğün ve yaşadıkları gastronomi deneyiminin tekrar ziyaret niyeti ve ağızdan ağıza iletişim üzerindeki etkisini araştırmaktır. Bu kapsamda Gaziantep bölgesine gelen ve bu bölgenin yiyeceklerini tüketmiş 289 yabancı ziyaretçiden anket vasıtasıyla veri toplanmıştır. Toplanan veriler analiz edilerek bulgular raporlanmış hipotezler test edilmiştir. Araştırmanın bulgularına göre özgünlük ve gastronomi deneyimi tekrar ziyaret niyeti ve ağızdan ağıza iletişim üzerinde etkili olmaktadır. Ayrıca özgünlüğün gastronomi deneyimi üzerinde etkisi olduğu tespit edilmiştir. En büyük etki özgünlük ve gastronomi deneyimi arasında meydana gelmiştir. Gastronomi deneyiminin, ağızdan ağıza iletişim ve tekrar ziyaret niyetine olan etkisi özgünlüğe kıyasla daha yüksektir. Araştırmanın sonuçları ışığında çeşitli önerilerde bulunulmuştur.
Pisma Tommasa Girolama Nicolòa Battiale (1773. – 1858.)
Authors: Budicin Biserka
Published: November 2024

Svi su fondovi, koji god stvaratelj bio, organizam za sebe i svaki ima nešto posebno i nešto samo svoje, specifično za određeno podneblje, običaje, ljude, govor… Ipak, obiteljski i osobni fondovi možda su najzanimljivije arhivsko gradivo. Oni su zaista nepresušno vrelo podataka, od prilika u kojima je obitelj živjela (povijesne, političke, socijalne, društvene) do onih koje je obitelj/osoba sakrivala, ali u isto vrijeme proživljavala i osjećala. Svaka je, pa tako i ova vrlo moćna, poznata, imućna obitelj prolazila uspone i padove, a sve se to doznaje iz dokumentacije koju je za sobom ostavila. Ta unutarnja previranja i borbe, radosne vijesti i uspjesi najbolje su iskazani u pismima koja su slali i koja su primali članovi te obitelji. Pisma su svojevrsni mali dnevnici iz kojih se najviše doznaje o događajima i osobi koja piše, a tu se misli na situaciju, stavove o situaciji i osjećaje koje je potaknula, pismenost osobe koja piše, način izražavanja i tome slično. U fondu HR-DAPA-984 Obitelj Battiala sačuvano je nešto malo više od 0,4 d/m, odnosno 4 kutije pisama gotovo svih članova. Najviše je sačuvano upravo pisama Tommasa Girolama Nicolòa. Njegova je pisma on sam ili netko drugi sređivao u vremenu kad su nastajala i pristizala ili nešto nakon toga, što je vidljivo po oznakama na njima. Ta su pisma sadržajno najraznolikija i najinformativnija. Gradivo Fonda otkriva nove, rasvjetljava manje poznate te potvrđuje već poznate činjenice o Labinu i Labinštini (imena i prezimena lokalnoga stanovništva, tko se čime bavio, koji je bio socijalni status pojedine obitelji, odnos među obiteljima višeg socijalnog statusa i tome slično, ali i važnih i utjecajnih ljudi odnosno obitelji onoga vremena s područja Istre i šire, kao i nazive ulica, lokaliteta, mikrolokacija). Iznimno je vrijedan izvor za povijesna istraživanja raznih znanstvenih disciplina: lingvistike, prava, gospodarstva, medicine, etnologije
Službe unutar pavlinskoga reda predviđene konstitucijama iz 1644. godine
Authors: Spetić Gaudencije Vito
Published: November 2024

Pavlinski je samostan u XVII. stoljeću djelovao kao složen mehanizam, u kojemu je konstitucijama propisana svaka obveza i služba. U ovom su radu prikazane službe predviđene konstitucijama pape Urbana VIII. iz 1644. godine. Opisuju suvremenom čitatelju potrebe i zahtjeve samostanskoga života, kao i pojam službe kao najvažnije djelovanje u novovjekovnoj samostanskoj zajednici. Svaki pavlinski samostan vidimo kao svojevrstan zatvoreni mehanizam u kojem svatko ima svoju ulogu, a poglavar pazi da se te uloge točno ispunjavaju. Neke se službe primaju imenovanjem poglavara (prior, propovjednik, ispovjednik), na neke su službe redovnici demokratski izabirani (generalni prior, diskret), a na nekima se izmjenjuju prema internom rasporedu samostana (hebdomadar, rektor kora, lektor). Rad objašnjava čime su se redovnici bavili kada se nisu posvećivali molitvi i kako je u XVII. stoljeću bio organiziran jedan pavlinski samostan. Rad nas upoznaje i s točnom terminologijom pojedinih službi, načinom nominacije, njihovim trajanjem i obvezama koje su se uz njih vezale.
Crane flies (Diptera, Tipuloidea: Tipulidae, Limoniidae) of the mountain-tundra landscapes of western Chukotka (Russia)
Authors: Paramonov N. M. , Khruleva O. A.
Published: November 2024

An annotated list of crane flies (Tipuloidea) collected in the vicinity of Pevek City (Chukotka Autonomous Okrug, northwest of Chaun Bay) was compiled based on the surveys carried out in 2011 and 2021, as well as on the collection material of the Zoological Institute RAS (St. Petersburg). The list contains 10 species of Tipulidae (120 specimens in total) and three species of Limoniidae (7 specimens), of which Tipula (Odonatisca) subarctica Alexander, 1919 and Symplecta (Symplecta) scotica (Edwards, 1938) are recorded for the first time for the Chukotka AO. The bulk of the fauna consists of the species with the Arctic/Arcto-montane ranges, some of which are restricted to the extreme northeast of Asia; one third of the species have Hypoarcto-montane ranges. The peculiar feature of the ecological composition of the fauna is the small number of hygrophilous taxa (only one species in the family Tipulidae). The Hypoarcto-montane Tipula (Vestiplex) montana excisoides Alexander, 1934 is the commonest species in the studied area. Most of the other species found around Pevek are rare there, and some are found in very small numbers, which is particularly characteristic of limoniids.
New records of fulgoroid planthoppers (Hemiptera, Fulgoromorpha) from European part of Russia
Authors: Gutsol A. V.
Published: November 2024

Genus Anatolodus Dlabola, 1982 (Issidae) is recorded for the Russian fauna for the first time. New data on the distribution of Cixidia polias Emeljanov, 2005 (Achilidae), Metcalfa pruinosa (Say, 1830) (Flatidae) and Trypetymorpha occidentalis Huang et Bourgoin, 1993 (Tropiduchidae) are reported.
Hamlet and Ludi (Commentary on Two Words in Hamlet: Quarto vs Folio)
Authors: Mikeladze N. E.
Published: November 2024

Abstract. The texts of the lifetime quartos of Shakespeareʼs Hamlet and the first posthumous folio of 1623 differ significantly. Their analysis and comparisons underlies the researchers’ assumptions and hypotheses about the “authorʼs” manuscripts, “foul papers”, prompt-books, “pirated” editions, the specifics of authorʼs vocabulary, spelling and punctuation, different kinds of emendations: typists’ errors and negligence, “authorʼs” edits, justified and unjustified interventions of editors, etc. But above all they determine our idea of Shakespeareʼs worldview, the laws of life and culture of his time, often relevant today. In modern editions two discrepancies we examined are usually reproduced not from the good quarto of 1604 (Q2, left), but according to the First folio version (F1, right): sanctity – sanitie (II, 2, 207); gamgiuing – gain-giuing (V, 2, 194). Russian translations are also made from it.
A comparative study of the text and the context of these passages led us to the following conclusions. In both cases preference should be given to the “true and perfect” text of the Second quarto (Q2) and proceed from it in reprints and new translations of Hamlet. In scholarly editions of the play both places need detailed commentary, which is important for Shakespearean studies. Gamgiuing requires a correction to gaming with justification of the probable cause of the typo. Both words explain the development of the complex motive of game and gaming in the play, and specifically Hamlet’s attitude towards the game: his penchant for wise play with words and meanings, considered as “madness” by “carnal” men (1Cor 2: 12–15), and his rejection of gambling in the logic of Roger Ascham’s treatise Toxophilus (1545).
About Some Features of Verb Word Formation with the Prefix ИЗ- in Аrkhangelsk Dialects
Authors: Nefedova E. A.
Published: November 2024

Abstract. The article is devoted to the study of the verbal word features formation with the prefix ИЗ- in the Arkhangelsk region dialects. Based on the correlation of the meanings of the motivated and motivating verbs and their distribution into semantic groups, the prefix ИЗ- meanings are determined. The systemic connections between them are also described. The synonymy of the specific meaning of the prefix ИЗ-, on the basis of which synonymous pairs and triplets of verbs function in dialects (izvýknut̕ – privýknut̕, izgulyát̕ – nagulyát̕, izmúchit̕sya – primúchit̕sya – isprimúchit̕sya), with other prefixes of the Russian language has been revealed. Some conditions of the contextual use of ИЗ-verbs are characterized. Criteria for determining the productivity of word-formation types of verbal prefix are proposed.
Syntactic Opposition for Nouns and Verbs as an Argument of a Clause in Late Classical Chinese Text Lunheng I A. D.
Authors: Durymanova A. D.
Published: November 2024

Abstract. This article analyzes the syntactic features of presumably nominal and verbal lexemes in argument positions based on the material of a late classical text of the 1st century AD. “Lunheng”. The main proposed tool for syntactic analysis is a system of distinctive contexts (allow to determine the syntactic position of the lexeme under study). Such acriteriahelped to parse and analyze more than twenty-five thousand clauses. It appeared that there is a great frequency difference in the number of verb and noun lexemes encountered in given argument contexts (69.48% and 87.84%, respectively), there are also other differences in contexts’ frequency, conditions and restrictions of use. Potentially, these results may highlight some restrictions of free syntactic shift, and as a result indirectly indicate rigid flexibility of the system of categories in Old Chinese with a number of limitations.
Analysis of Wireless Communication Protocols for Enhancing the Efficiency of Cognitive Telecommunications Networks Functionality
Authors: Lysechko Volodymyr , Komar Oleksii , Syvolovska Olena , Veklych Oleksandr
Published: November 2024

In the study, modern protocols and their specifications were analyzed and systematized. Advantages and disadvantages were identified, which are necessary for expanding the application possibilities of cognitive radio systems. Through the analysis of the technical characteristics of cognitive radio systems, the main factors of stagnation in various technological capabilities were discovered. It has been proven that IEEE protocols provide a critically important foundation for the standardization of cognitive radio systems, facilitating their compatibility and efficient use of the radio frequency spectrum. It has been substantiated that cognitive radio systems include optimization subsystems to ensure reliable communication. Specifically, the cognitive analysis subsystem is essential for effective monitoring of the radio frequency spectrum, enabling frequency adaptation in response to spectrum occupancy. The cognitive decision-making subsystem ensures optimal resource use through rational frequency distribution and transmission parameter adjustment. Adaptation and routing play a key role in ensuring reliable data exchange, while resource management and security measures strengthen the system's integrity and protection. The research demonstrated that the multi-level integration of subsystems opens new possibilities for enhancing the efficiency of radio frequency spectrum use in dynamically changing conditions. Thus, the implementation of modern protocols and technologies in cognitive radio systems is an important step towards creating more flexible and adaptive networks capable of effectively responding to changing conditions and user requirements. The analysis presented in the article demonstrates the necessity and effectiveness of applying innovative wireless communication protocols. These protocols significantly enhance throughput capacity and spectral efficiency, which, in turn, contribute to the optimization of network operations in "smart radio" systems across various applications – from military to commercial.
Elemental analysis and ecological safety assessment of nutritive herb Ziziphora clinopodioides Lam. cultivated and wild growing in the South-Caucasian flora
Authors: Ulikhanyan Greta , Hovhannisyan Vahe , Arshakyan Naira , Altunyan Astghik , Ghukasyan Nelli , Ghazaryan Arshaluys , Dumanyan Karine , Poghosyan Gayane , Hovhannisyan Hrachya , Danielyan Lusine , Harutyunyan Ruzanna , Feschyan Sona , Hovsepyan Maya , Mkrtchyan Siranush , Kyslychenko Viktoria , Chichoyan Naira
Published: November 2024

Background: Today, the use of mathematical modeling is crucial in assessing the ecological safety of nutritive herbs. The aim of our research was to examine the mineral composition and assess the ecological purity of raw materials from Ziziphora clinopodioides Lam., collected across various natural and climatic zones in the South Caucasus region.
Objective: To conduct an elemental analysis of the mineral composition and assess the ecological safety of nutritive plant raw materials derived from Ziziphora clinopodioides Lam.
Methods: The analysis was performed using an Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) instrument, with results reported in micrograms per gram. A multi-standard approach with various dilutions was employed to investigate the quantities of elemental content. The elemental analysis of the obtained ash mass was conducted utilizing the Agilent 5800 VDV ICP-OES instrument ( USA). Mathematical modeling techniques, including Correlation Analysis, Principal Component Analysis, and Hierarchical Cluster Analysis, were used in the study. 
Results: Experimental data unequivocally demonstrated that the concentration of heavy metals in all analyzed Z. clinopodioides samples falls within the established limits of maximum permissible concentrations. Notably, no toxic metals such as Lead (Pb), Arsenic (As), or Cadmium (Cd) were detected in any of the samples, affirming the ecological safety of the raw materials. Principal component analysis yielded four predominant components, collectively accounting for 91.934% of the overall variability among 13 variables, as based on the variation in elemental concentrations. Furthermore, hierarchical cluster analysis (HCA) enabled the categorization of plant raw material samples into three distinct groups, contingent on the geographical origins of the areas and the methods of cultivation.
Conclusions: Chemometric analysis conclusively demonstrates that the variation in elemental composition within the examined samples, as well as the plant's capacity to accumulate biologically active compounds, is contingent not solely upon the altitude of the growth locations above sea level but also by the conditions of cultivation and introduction.
Keywords: Ziziphora clinopodioides Lam., nutritive herbs, ash, chemometric approaches, correlation analysis, hierarchical cluster analysis, optical emission spectrum
Data Analytics and Data Mining Techniques in Financial Investment Risk Management
Authors: Wu Jianing
Published: November 2024

In order to effectively manage financial risks, the application of data analysis and data mining technology in financial investment risk management has been proposed. Taking the daily closing price data of Shanghai Stock Exchange Index and Shenzhen Stock Exchange Index as the research object, the marginal distribution is obtained by using the nonparametric kernel distribution estimation function method, the parameters of the commonly used Copula function are estimated by Matlab software, and the Euclidean distance is used as the evaluation index of the Copula model. Then, based on binary normal Copula and t-Copula, we use the new method proposed in this paper to construct a new Copula function. Through comparative analysis, we find that the constructed Copula function can better fit financial data than the commonly used Copula function. Finally, Monte Carlo method is used to calculate the value at risk of the portfolio under different weight values. The results show that when the investment weights are different, the VaR values obtained differ greatly. It can be further found that when the investment weight of the Shanghai Stock Exchange Index is 0.6 and the investment weight of the Shenzhen Stock Exchange Index is 0.4, the VaR value obtained by using these four Copula functions is the smallest, so it can be concluded that the risk of investors selecting this portfolio is the smallest. Conclusion: This application provides a theoretical basis for investors to make better portfolio selection.
Zero-Carbon Innovative Torch Design Based on Ammonia Combustion Technology
Authors: Zheng Jiayi , He Wenzhi , Deng Kai , Cheng Nuo , Sheng Tianchi , Zhang Lekai , Xing Baixi
Published: November 2024

In the realm of environmental protection, sustainable design has emerged as a pivotal concern. As an important aspect of sustainable design, the application of clean energy technology is crucial for product innovation. This study focuses on the innovation of zero-carbon torch design based on a clean energy solution. We explored the potential of using ammonia as an alternative to traditional fossil fuel for torch energy supply. By thoroughly analyzing the chemical properties of ammonia combustion and its potential in sustainable development, a handheld zero-carbon torch has been created. The torch design study was held to optimize combustion efficiency and reduce environmental impact. Experimental simulations were conducted to validate the design’s feasibility, confirming that the torch maintains stable combustion across diverse climatic conditions. Our structural design and energy strategy offer a viable technical solution that combines clean energy with product innovation, catering to industry needs.
A Study on Image Denoising Under Multi-Objective-Based Algorithm
Authors: Jiang Ping
Published: November 2024

In order to improve the image quality in neutron imaging, a denoising method combining particle swarm optimization (PSO) algorithm and wavelet threshold function is adopted in this study. The denoising threshold is adjusted by particle swarm optimization algorithm to effectively reduce Poisson noise and maintain image details. Experimental results show that compared with other methods, this method is more effective in removing noise, and can significantly improve the peak signal to noise ratio (PSNR) and reduce the mean square error (MSE) of the image, thus improving the image quality.
Modeling and Simulation Analysis of the Stewart Platform System Based on Modelica
Authors: Huang Di , Hui Lixin , Lin Qianqian , Bao Bingrui , Jin Zhengguo
Published: November 2024

The Stewart platform is a typical complex mechatronic system, involving multiple disciplines such as mechanics, control and electrical engineering. In order to model and analyze the Stewart platform system in a unified manner, a unified multidisciplinary modeling language is adopted. Based on the object-oriented modeling concept, the system is decomposed and integrated to establish a set of simulation models for the Stewart platform system. This paper, taking advantage of the acausal modeling characteristics of the Modelica language, efficiently and rapidly constructs a set of inverse kinematics control methods that can accurately solve the controlled quantities in the controller based on the inverse model. By conducting multi-scenario simulation analyses based on the Stewart platform system model, The results demonstrate that the inverse kinematics control method can accurately achieve control over the displacement and orientation of the moving platform, proveing the correctness of the Stewart platform system. This provides guidance for subsequent research on the control theory and kinematics dynamics of the Stewart platform.
Construction of Labor Education System Under MOA Model
Authors: Zhang Wei
Published: November 2024

This paper proposes a recommendation system for labor education information in colleges and universities based on MOA model, which is designed by using multiple mixed criteria fuzzy algorithm. The system includes retrieval, database and recommendation display modules, which can accurately recommend educational resources according to user preferences. The experimental results show that when the number of users increases from 400 to 500, the user discovery accuracy of the system is stable above 0.95, and the recommended recall rate exceeds 0.9. The research shows that the system is stable and accurate, and can effectively support the construction of labor education system in colleges and universities.
Research on the Problems and Countermeasures of Management Information System Construction in Electric Power Enterprises
Authors: Qu Dongzhe , Liu Guangyu , Qu Xinying
Published: November 2024

In order to solve the problem of high memory overhead during the operation of power enterprise information management system, the research on the problems and countermeasures of power enterprise management information system construction is proposed. In this paper, firstly, the fusion feature distributed detection method is used for power information management process scheduling, the relevant feature quantity of power information is mined under the hybrid frame system, the feature distribution of three-phase windings of the power information system is analyzed, and then combined with the hybrid excitation rectifier analysis method for the hybrid frame system big data fusion processing of the power information management system is carried out to construct the big data information integration model of the power information management, with the The number of poles and the required number of ampere-turns of the power system are taken as the constraint parameters, and the big data fusion and feature optimization detection of the power information are carried out in the hybrid frame system to extract the basic parameters such as the rated power, efficiency, and rated torque of the power information management system, and to realize the optimized design of the power information management system. Finally, in order to test the memory overhead of the power information management system, the method of this paper is compared with the method of multi-dimensional structural entropy-based smart grid information management system and regional grid scheduling information graphical management software, and the comparison results are obtained. The experimental results show that: using the method in this paper for the design of power information management system, the memory is 7.64, 12.45, 15.66, 23.44, respectively, and the memory overhead is small. Conclusion: The power information management system designed in this paper has small overhead, good output stability and large power gain.
Application and Optimization of Artificial Intelligence in Distributed Energy Management Systems
Authors: Liu Guangyu , Qu Xinying , Qu Dongzhe
Published: November 2024

In order to solve the problem of inaccurate prediction performance of existing distributed energy management, the application and optimization of artificial intelligence in distributed energy management systems are proposed. This paper uses a lightweight gradient boosting machine model to conduct detailed analysis of energy data, and optimizes the LightGBM model through PSO to improve model performance. By predicting energy data, and conducting experimental comparisons with multiple linear regression (LR), random forest (RF), LightGBM and extreme gradient boosting (XGB). Experimental results show that the LightGBM model optimized by PSO performs better and its prediction effect is significantly better than other models. Compared with other models, PSO-LightGBM shows higher prediction accuracy, robustness and stability, and the three evaluation indicators used in the experiment all reach the optimal level (the mean square error is only 0.083, and the coefficient of determination reaches 91.56% , the explained variance is 91.60%). Conclusion: This method can more accurately predict the power consumption of enterprises and has important practical application value.
A Deep Learning-Based Keyword Extraction Algorithm in Legal Information Retrieval Systems
Authors: Zhao Na
Published: November 2024

In order to solve the problem that the traditional keyword matching based retrieval method cannot meet people’s demand for information retrieval, the keyword extraction algorithm based on deep learning is proposed in legal information retrieval system. In order to solve the problem that the traditional keyword matching based retrieval method cannot meet people’s demand for information retrieval, a deep learning-based keyword extraction algorithm is proposed in the legal information retrieval system. In this paper, for the shortcomings of the statistical based method that can only extract two-word words, we consider to add the rule-based method to extract the compound words, and we propose the improved method for the concepts of the existence of the relationship of synonyms and the relationship between the whole and the part. The experimental results show that: the size of the corpus has a great influence on the experimental results, this paper selects 100 documents of each domain, the scale is not too large, with the increase of the corpus size, the accuracy and recall rate can be improved. With the addition of correlation rules, some compound words can be extracted, and the domain relevance and domain consistency formulas are improved to extract concepts with synonym relationship and low-frequency concepts with part-of-the-whole relationship. Conclusion: The experimental results show the feasibility of the method.
Research on the Standard System and Key Technologies of Digital Transmission Technology
Authors: Liu Zhuoya , Zhang Xun , Fan Qiang , Huang Junkai , Chen Xiangli
Published: November 2024

This paper proposes a digital substation standard system to enhance management efficiency. It introduces a model for comprehensive digital information perception and Bayesian algorithms for monitoring. Wireless sensor identification collects subsystem data, analyzed by decision tree clustering. Key meta-data scheduling and fusion methods integrate digital information across the substation. Digital twin technology enables dynamic data fusion and sharing, optimizing substation management.
Multi-Sensor Fusion Localization Algorithms for Intelligent Agricultural Unmanned Vehicles in Complex Environments
Authors: Yang Kaihang , Wang Xiaodong , Zhao Hongyang , Wen Haojie , Qin Jinyan , Wang Ziheng
Published: November 2024

In order to solve the problems of short-time data loss, low positioning accuracy and asynchronous sensor frequency of agricultural unmanned vehicles, the application of multi-sensor fusion positioning algorithm of intelligent agricultural unmanned vehicles in complex environments was proposed. This paper uses laser radar, IMU and wheel odometer to obtain positioning information, and proposes a combined data fusion method based on extended Kalman filter and complementary fusion. Firstly, the initial positioning data is preprocessed by S-G filtering algorithm, and the positioning data fusion of IMU and wheel odometer sensor is realized by using the extended Kalman filtering fusion algorithm to obtain the fusion data 1; Then, the fusion data 1 and the laser radar are fused using the complementary fusion algorithm to obtain the fusion positioning data 2. The fusion data 1 carries out real- time correction for the laser radar to solve the displacement deviation of frequency asynchrony, thus significantly improving the positioning accuracy. Finally, the Gazebo simulation platform is used to build the agricultural unmanned vehicle model and set the basic parameters of the sensor to verify the effectiveness and stability of the algorithm. The experimental results show that the data fusion algorithm improves the positioning accuracy and stability of the nonlinear sensor, and the average positioning error is within 8 cm. Conclusion: The algorithm is effective for improving the positioning accuracy of agricultural unmanned vehicles, and has important application value for agricultural unmanned vehicles combined with low-cost sensors.
Nitrosamine Exposure Causes Insulin Resistance Diseases: Relevance to Type 2 Diabetes Mellitus, Non-Alcoholic Steatohepatitis, and Alzheimer's Disease
Authors: Tong Ming , Neusner Alexander , Longato Lisa , Lawton Margot , Wands Jack R. , de la Monte Suzanne M.
Published: November 2024

The current epidemics of type 2 diabetes mellitus (T2DM), non-alcoholic steatohepatitis (NASH), and Alzheimer's disease (AD) all represent insulin-resistance diseases. Previous studies showed that streptozotocin, a nitrosamine-related compound, causes insulin resistance diseases including, T2DM, NASH, and AD-type neurodegeneration. We hypothesize that chronic human exposure to nitrosamine compounds, which are widely present in processed foods, contributes to the pathogenesis of T2DM, NASH, and AD. Long Evans rat pups were treated with N-nitrosodiethylamine (NDEA) by i.p. (x3) or i.c. (x1) injection, and 2–4 weeks later, they were evaluated for cognitive-motor dysfunction, insulin resistance, and neurodegeneration using behavioral, biochemical, and molecular approaches. NDEA treatment caused T2DM, NASH, deficits in motor function and spatial learning, and neurodegeneration characterized by insulin resistance and deficiency, lipid peroxidation, cell loss, increased levels of amyloid-β protein precursor/amyloid-β, phospho-tau, and ubiquitin immunoreactivities, and upregulated expression of pro-inflammatory cytokine and pro-ceramide genes, which together promote insulin resistance. In conclusion, environmental and food contaminant exposures to nitrosamines play critical roles in the pathogenesis of major insulin resistance diseases including T2DM, NASH, and AD. Improved detection and prevention of human exposures to nitrosamines will lead to earlier treatments and eventual quelling of these costly and devastating epidemics.
Can early gut microbiota screening reduce the incidence of cognitive impairment? A Mendelian randomization study
Authors: Xi Chongcheng , Zhang Jie , Liu Haihui , Xing Jia , Ding Yiyun , Wei Wei , Wang Le , Liu Zhenzhu
Published: November 2024

Background: Gastrointestinal symptoms are now detected early in the clinical course of many dementia patients, and studies of the microbiome-gut-brain axis have confirmed bidirectional interactions between the gut and the brain. However, the causal relationship between gut microbiota and cognitive impairment has not been fully established. Therefore, this study conducted a bidirectional Mendelian randomization study to elucidate the potential causal relationship of gut microbiota to cognitive impairment. Objective: Using Mendelian randomization to identify gut flora with a genetic causal effect on the development of cognitive impairment. Methods: This study utilized publicly available genome-wide association study summary data to perform MR analysis, with gut microbiota as the exposure and various cognitive function indicators as well as scores for Alzheimer's disease as outcomes. This study selected single nucleotide polymorphisms as instrumental variables based on p-values, F-statistics, and r2. Bidirectional Mendelian randomization was conducted using methods such as inverse variance weighted, MR-Egger, simple mode, and weighted mode to assess the causal relationship. Concurrently, this study carried out Cochran's Q test, MR-Egger intercept test, and leave-one-out analysis to identify potential heterogeneity and horizontal pleiotropy. Results: This study identified a total of 31 gut microbes that have a causal relationship with cognitive impairment, which include 1 phylum, 4 classes, 3 orders, 2 families, and 21 genera. Conclusions: This study unveiled specific gut microbiota associated with cognitive impairment, offering new insights and approaches for the prevention and treatment of cognitive impairment through gut microbiota such as Bifidobacterium and Ruminococcus gnavus group.
DYNAMIC OPTIMIZATION OF SYSTEMS OF SYSTEMS USING VALUE	MEASUREMENT
Authors: Honour Eric C. , Browning Tyson R.
Published: November 2024

Many systems of systems (SoS) occur today through the collaboration of multiple stakeholders, without any clear authority or direction at the SoS level. Examples include a supply chain, an airport, and the Internet. Because of the uncontrolled interactions, such a SoS exhibits complexity behaviors such as reflexivity, emergence, self-organization, and adaptation. This paper presents underlying theory to explain a methodology for dynamic optimization of SoS, in which the stakeholders make changes based on local perceptions of the value of the SoS. Each stakeholder has a different local perception of value, measured against an objective function that may be unique to the stakeholder. As the stakeholder compares perceived value to desired value, the stakeholder attempts to optimize the SoS from its own point of view by making decisions that lead to SoS changes. These changes then affect other stakeholders, resulting in a dynamic architecture and implementation of the SoS. We present the optimizing value proposition of each stakeholder in terms of a quantifiable objective function based on the life-cycle value of the SoS to that stakeholder, and we present the dynamic interaction as a model of self-organization. An example based on supply chain management demonstrates the approach.
LINKING LEADERSHIP AND TECHNICAL EXECUTION IN UNPRECEDENTED	SYSTEMS-OF-SYSTEMS ACQUISITIONS
Authors: Sisti Frank J. , Latimer IV DeWitt T.
Published: November 2024

The acquisition of systems is as much an art as a science, a premise that is underscored by the limited understanding of the variables found in complex systems-of-systems. Moreover, the art and science associated with acquiring systems has been steadily increasing in complexity as the various technologies being acquired have made huge advances in capabilities. One of the most challenging types of acquisition to execute well is that requiring the development of an unprecedented systemof- systems or an ultra large scale system. The challenges to the acquisition staff range the spectrum of those faced at all levels in the acquiring organization. Multiple challenges exist from the most senior leadership and management, through those architecting the system, down to the individual engineer executing technical tasks as a part of the concept, design, development, fielding, and sustainment of such systems-of-systems. Leadership theory based on transformational and transactional leadership styles assists in highlighting leadership problems in unprecedented acquisitions. Coupled to these challenges are the clearly demonstrable requirements for ever closer linkages between each of the discrete functional levels within the acquiring organization. The study of the essential nature of theses linkages, and how their performance can severely impact the probability of success and effectiveness of the acquisition, is examined through the evaluation of a number of exemplar case studies. Using analytical insight derived from these case studies, combined with the application of current theories on leadership and management, this paper evolves the transdisciplinary premise by articulating that leadership and technical execution must be tightly linked especially when developing unprecedented systems-of-systems.
Preparing for Hospital at Home: A Review of the Current Landscape of Training Practices
Authors: Denecke Kerstin , Reichenpfader Daniel
Published: November 2024

Hospital at Home (HaH) is a model of care that provides hospital-level care in the patient’s home, requiring a unique set of competencies and skills from both multidisciplinary care teams and informal caregivers. These skills are often different from those required in traditional hospital settings. The aim of this paper is to consolidate the information of HaH-related education and training to support the development of standardized curricula to ensure safe hospitalization at home. We compiled relevant information from the scientific literature on HaH approaches and studies and conducted a web search. Our results indicate that healthcare professionals are trained in short training sessions, covering specific skills needed in the HaH context. These skills comprise, among others, communication, medication safety, infection control, and wound care. Patients and their families receive training in recognizing symptoms of deterioration and self-care. Concrete guidelines or standardized training programs are still missing. Future research should thus focus on developing standardized HaH training protocols and programs for both staff and patients to ensure patient safety at home.