bluuebunny/crossref_metadata_2025_split huggingface dataset:
An image encryption scheme based on an improved memristive neuron chaotic system
Authors: Wang Yanzhang 
Published: September 2024

Abstract
With fast-developing Internet and communication, the security transmission of image in network has become a research highlight. So far, researchers have designed a lot of image encryption methods based on chaotic models, some of them are not secure enough. To enhance security of image transmission on the network, in this paper, an image encryption method is developed from a 3D memeristive FitzHugh-Nagumo (FHN) neuron. First, a 3D memeristive FHN model is obtained by connecting a memeristor into a 2D FHN model, and dynamics for 3D FHN model are estimated by applying phase diagrams, bifurcation and Lyapunov exponent. Then, an image encryption algorithm is proposed by using this 3D model. Finally, security of encryption algorithm is estimated. Simulation results confirm the effectiveness of encryption scheme.
Utilizing quantum processor for the analysis of strongly correlated materials
Authors: Li Hengyue , Yang Yusheng , Lv Pin , Qu Jinglong , Wang Zhe-Hui , Sun Jian , Ying Shenggang 
Published: September 2024

Abstract
This study introduces a systematic approach for analyzing strongly correlated systems by adapting the conventional quantum cluster method to a quantum circuit model. We have developed a more concise formula for calculating the cluster’s Green’s function, requiring only real-number computations on the quantum circuit instead of complex ones. This approach is inherently more suited to quantum circuits, which primarily yield statistical probabilities. As an illustrative example, we explored the Hubbard model on a 2D lattice. The ground state was determined utilizing Xiaohong, a superconducting quantum processor equipped with 66 qubits, supplied by QuantumCTek Co., Ltd. Subsequently, we employed the circuit model with controllable noise to compute the real-time retarded Green’s function for the cluster, which is then used to determine the lattice Green’s function. We conducted an examination of the band structure in the insulator phase of the lattice system. This preliminary investigation lays the groundwork for exploring a wealth of innovative physics within the field of condensed matter physics.
Two-stage stochastic planning for distribution networks considering uncertainties of electric vehicles and distributed generators
Authors: Zheng Huhu , Ye Jianhua 
Published: September 2024

Abstract
A significant quantity of electric vehicles and distributed generator (DG) sources are connected to the distribution network (DN), resulting in the formation of a new power-transportation network (PTN). This integration introduces source-load uncertainty to the system. This research presents a stochastic planning model for PTN that focuses on making decisions on charging station locations. Initially, a model for the distribution network is created, which incorporates energy storage devices, demand response devices, and DG devices. The transportation network utilizes a P-median siting determination model. Ultimately, a two-stage stochastic planning approach is employed to address system uncertainty. The primary goal is to minimize both the investment cost and operation cost of the system while also considering several common situations. The efficacy of the proposed approach has been proven using a combined system consisting of a 33-node DN and a 25-node TN.
Optimal scheduling of virtual power plants considering integrated demand response
Authors: Wang Jinfeng , Wu Yulong , Wei Zhenze , Pang Jiale 
Published: September 2024

Abstract
In contemporary power system management, leveraging multilevel demand response strategies plays a pivotal role in balancing energy supply with demand, thereby enhancing system efficiency and flexibility. This paper introduces an innovative optimization model for virtual power plant operations that anticipates the scheduling needs several days in advance. It incorporates a comprehensive approach to demand response on the consumer side, highlighting two main types: price-based and substitution-based responses. Furthermore, the model integrates the functionalities of energy storage and conversion devices. This integration aims to facilitate effective load management, ensuring an optimized load distribution while minimizing the overall system costs.
Gear detection and research for hydraulic couplers based on AC electromagnetic field techniques
Authors: Han Yang , Liang Pengfei , Liu Xiaorui 
Published: September 2024

Abstract
To address the issue of fatigue cracks of hydraulic coupler gears in nuclear power plants, we construct an alternating current (AC) electromagnetic field detection system based on stress analysis of gear models. In this model, we design a probe suitable for gear detection in the main feedwater system of nuclear power plants. Moreover, artificial defects are machined into the gears to verify the feasibility of the AC electromagnetic techniques. Results indicate that the AC electromagnetic field techniques can detect the near-surface defects in the test piece with a greater detection depth and better detection effectiveness.
Analysis of hierarchical optimization control technology of distribution network with mobile energy storage
Authors: Lv Jiaolong , Gai Di , Liu Chuanbo , Bai Yuanlong , Zhang Mengyu , Han Yishu , Ma Shizhe , Ming Xin , Li Jialin , Xiao Ying 
Published: September 2024

Abstract
Mobile energy storage has many application scenarios and high scheduling flexibility. The article introduces the layered optimization control technology of distribution networks to ensure the safety of distribution network operation after mobile energy storage access. The article analyzes the logic principle of distribution network hierarchical control technology, constructs a distribution network hierarchical optimization control model, and introduces the solution algorithm of the optimization model. The case study findings indicate that the examined layered control strategy for distribution networks can appropriately manage the charge and discharge states of mobile energy storage. This enhances the utility of mobile energy storage and the operational dependability of the distribution network.
Multi-timescale coupling optimization model and economic analysis for joint transmission of large-scale new energy power generation bases
Authors: Zhao Lang , Yi Haiqiong , Li Yizheng , Wu Qiliang , Xie Xintao , Yu Haifeng 
Published: September 2024

Abstract
Although the northwest of China is full of sand and desert, it is rich in wind, solar, and coal resources. It is an important way to solve the contradiction between new energy and load distribution by bundling “wind-solar-thermal-storage” power through ultra-high voltage channels. In this paper, the optimization model of large-scale new energy bases coupled with multiple time scales is constructed to determine the optimal output of thermal power units in the process of transmission. Then, the economy of thermal power in large new energy bases is analyzed. The results show that the bundling of “wind-solar-thermal-storage” reduces the rate of wind and solar abandonment of new energy and increases the environmental benefits of new energy transmission.
Optimal scheduling of integrated energy systems for eco-economic operation
Authors: Sun Quan , Wu Bin 
Published: September 2024

Abstract
In the context of rising environmental awareness and the pursuit of sustainable development, it is critical to advance low-carbon economies, especially within the field of energy system management. Our research is dedicated to enhancing the efficiency of Combined Cooling, Heating, and Power (CCHP) systems to meet both cost and environmental objectives. We have devised an optimized CCHP model that employs the particle swarm optimization algorithm to manage complex constraints and improve solution accuracy. Through case studies, we have verified that our model significantly increases the system’s eco-efficiency and operational excellence.
Distributed energy storage participates in reactive power optimization strategy research of new distribution system
Authors: Deng Yanping , Du Ye , Sun Yifan , Du Shu , Xu Jing , Rong Xin , Ren Shuheng , Zhao Rusheng 
Published: September 2024

Abstract
We studied the reactive power control strategy of distributed energy storage in distribution systems, improved reactive power support capacity, and enhanced system reliability and new energy carrying capacity. Firstly, the principles and methods of reactive power optimization in distribution networks are studied. Then, the principles and mechanisms of distributed energy storage participating in reactive power control in distribution networks are studied. Finally, the genetic algorithm optimization method for reactive power optimization in distribution networks is studied, including parameter setting, target selection, and genetic strategy improvement, providing support for fine control of reactive power and voltage in distribution systems and efficient operation. Through simulation analysis of the IEEE33 node system, it is shown that distributed energy storage can improve the reactive voltage level of the distribution system and promote the consumption of new energy.
Aerodynamic performance and flow field characteristics of wind turbines under shear incoming flow conditions
Authors: Li Qian , Guo LinFeng , Lin HangBing , Zhang Qing , Zhou LiPeng , Liu Yong , Li DeShun 
Published: September 2024

Abstract
With the large size of the units, wind farms are evaluated in order to improve the accuracy of the incoming flow measurement and to improve the unit control strategy. In this paper, the turbulent wind field generated by autoregressive linear filtering using a large eddy simulation turbulence model is used to study the wind speed-induced zone under shear incoming flow conditions. At the same time, the wake and aerodynamic performances of the wind turbine under different incoming flow conditions are investigated, and conclusions are obtained. 1) The larger the shear index is, the larger the amplitude is at the first frequency component of the power and the thrust, and the larger the fatigue load is for the wind turbine. 2) For the wind turbine wake flow in the case of smaller wind turbine size, the wake velocity profiles at different shear indices cross and overlap in the transition and far wake regions. At position 0.5 D, the turbulence profiles with different shear indices basically overlap; the larger the shear index is, the more intense the wake flow exchange is and the greater the turbulence intensity in the wake region will be. 3) For the wind speed-induced region, at position −0.1 D, the incoming flow velocity distribution is subject to the combined effect of induction and shear, and the induction effect of the wind turbine wheel is a little larger. The larger the shear index, the greater the turbulence intensity.
Armed conflict as a catalyst for increasing flood risk
Authors: Basheer Mohammed , Elagib Nadir Ahmed 
Published: September 2024

Abstract
Armed conflict has many adverse impacts beyond violence such as increasing risks of natural hazards. Analyses of the interactions between flood risks and armed conflict are essential for developing effective policies and strategies to address both challenges. This study aims to develop conceptual and analytical socio-hydrological frameworks for assessing how armed conflict can impact flood risks. The frameworks postulate a link between armed conflict and flood vulnerability, given that armed conflict creates unique challenges that exacerbate the effects of floods. Our conceptual framework identifies routes through which armed conflict affects vulnerability to floods, such as damage to infrastructure, population displacement and density, weak governance, and less awareness, resulting in lower resilience, higher susceptibility, and increased flood vulnerability and risk. Our analytical framework uses flood modeling to evaluate flood hazards and incorporates spatial data related to armed conflict zones, nighttime light, population classification by age, land price, land cover, and rural/urban areas classification. We take Khartoum, the capital city of Sudan, as a case study in view of its armed conflict that erupted in 2023. By highlighting the linkages between armed conflict and flood risk, this study contributes to conceptualizing the broader interlinkages between conflict and environmental systems. The study emphasizes the importance of integrating conflict analysis with disaster risk management strategies. We encourage collaboration between humanitarian, environmental, and security sectors to improve preparedness, response, and resilience in conflict-affected regions. While our analysis for Khartoum is based on conflict zones in the early stages of the conflict and uses simple estimates for conflict vulnerability contribution, the proposed frameworks provide groundwork for assessing changes in flood risk in Sudan and other conflict regions around the world.
Status of agricultural water management practices in Africa: a review for the prioritisation and operationalisation of the Africa Union’s irrigation development and agricultural water management (AU-IDAWM) strategy
Authors: Dirwai Tinashe Lindel , Taguta Cuthbert , Senzanje Aidan , Nhamo Luxon , Cofie Olufunke , Lankford Bruce , Nyambe Harsen Nyambe , Mabhaudhi Tafadzwanashe 
Published: September 2024

Abstract
Efficient agricultural water management (AWM) practices enhance crop water productivity and promote climate change adaptation and resilience initiatives, particularly in smallholder farming systems. Approximately 90% of sub-Saharan Africa’s (SSA) agriculture is rainfed under smallholder farmers who constitute about 60% of the continent’s population and depend on agriculture for their livelihoods. While AWM is central to the African agenda, knowledge of AWM is fragmented, making it challenging to operationalize regional initiatives at country levels. Therefore, this study sought to review the status of AWM practices and technologies in Africa and provide guidelines, scenarios, and investment plans to guide the prioritization and operationalization of the African Union’s irrigation development and AWM (AU-IDAWM) initiative. The initiative proposes four developmental pathways; 1—improved water control and watershed management in rain-fed farming, 2—farmer-led irrigation, 3—irrigation scheme development and modernization, and 4—unconventional water use for irrigation. The preferred reporting items for systematic reviews and meta-analyses approach guided the systematic literature review. The study indicates that most agricultural production systems are mainly under pathways 1 and 2, which dictate the subsequent AWM practices. Pathway 4 had isolated adoption in North Africa. SSA exhibited overlaps in opportunities for AWM, whereas North Africa had green energy and strong extension services. The challenges were unique to each geopolitical region. Policy-related issues affected North Africa, whilst low investment in AWM dominated West Africa. Poor institutional coordination plagued East Africa, whilst low access to extension services affected Southern Africa. The Central African region was undermined by poor management practices that culminated in soil salinity in the agricultural lands. Targeted and scalable investments across interventions are necessary topotentially improve AWM uptake and subsequent food security in the continent. Also, institutional setups are essential in coordinating efforts towards achieving AWM. Extension services are essential information dissemination platforms for adopting effective climate-smart agriculture.
Clifford orbits and stabilizer states
Authors: Feng Lingxuan , Luo Shunlong 
Published: September 2024

Abstract
Stabilizer states serve as ‘classical objects’ in the stabilizer formalism of quantum theory, and play an important role in quantum error correction, fault-tolerant quantum computation, and quantum communication. They provide an efficient description of many basic features of quantum theory and exhibit a rich structure. For prime dimensional systems, they may be defined by two quite different yet equivalent ways: The first is via stabilizer groups (maximal Abelian subgroups of the discrete Heisenberg–Weyl group). The second is via the orbits of the Clifford group acting on any computational basis state. However, in a general dimensional system, this equivalence breaks down, and consequently, it is desirable to clarify the difference and relation between the above two approaches to stabilizer states. In this work, we show that these two approaches are equivalent if and only if the system dimension is square-free (i.e. has no square factor). Furthermore, we completely reveal the relation between the Clifford orbits and stabilizer states in an arbitrary dimensional system, derive the explicit expressions of the Clifford orbits and determine their cardinalities.
Overview of the IV International Conference on Agricultural Engineering and Green Infrastructure Solutions (AEGIS-IV 2024)
Authors: Astanakulov K D , Kh Shomirzaev M , Karshiev F U , Shavazov K A , Navid H , Vitliemov P , Borotov A N 
Published: September 2024

Abstract
The overview describes the main directions and results of the IV International Conference on Agricultural Engineering and Green Infrastructure Solutions (AEGIS-IV 2024) held in Tashkent on 28-30 March 2024. It gives the details about the participants and the proceedings. A description of the main trends in agricultural mechanization and food technologies, green infrastructure solutions, environmental engineering for sustainable development of the modern society are given in the overview.
List of Programme Committee and Organizing Committee are available in this Pdf.
Methodologies for calculating abrasive particle size in gear wear
Authors: Ishmuratov Kh K , Abdurakhmanov A E , Ishmuratov S Kh , Taxirova G Sh 
Published: September 2024

Abstract
In agriculture, when cultivating crops, many agro-technical operations are carried out and many different agricultural machinery and equipment are used in these processes. To drive various mechanisms and working bodies of these technical means and equipment, various drive or transmission mechanisms are used from one part of the equipment to another. Among them, the most common type of transmission mechanisms are gear mechanisms. According to operating conditions, gear mechanisms are divided into those operating in an open, dry state and those operating in a closed, wet state, mostly in oil. However, during the operation of gear mechanisms, wear of the teeth is observed. Practice shows that for wear of gear teeth, despite their operating conditions, working them in an open dry state or working them in a closed wet state, mainly on oil, abrasive particles show a great influence. Based on this, the article presents the results of the development of a methodology for calculating the size of sample particles leading to wear of gear teeth.
Alcohol, Coffee, and Tobacco
Authors: Jahn Anthony F , Cho Youngnan Jenny 
Published: September 2024

Abstract
This chapter presents an overview of three common social habits, discussing their pharmacologic effects on the body and, specifically, how they affect the vocal apparatus. Practical advice is offered on how singers may indulge in alcoholic drinks and coffee without adverse effect on performance. The key is to use both in moderation and to compensate for any possible negative impact they may have on the singing voice.
Cortisone and the Voice
Authors: Jahn Anthony F , Cho Youngnan Jenny 
Published: September 2024

Abstract
Cortisone is an important but overused medication in the singing community. This chapter discusses how cortisone works and gives specific advice on when and how it should be used. The authors also caution against overuse and misuse of this powerful medication. Unfortunately, cortisone has become the knee-jerk go-to response for many physicians, resulting in short-term improvement but long-term mismanagement of vocal disorders. This chapter offers specific advice on when cortisone can be beneficial and when it should be avoided.
Mindful Practice
Authors: Jahn Anthony F , Cho Youngnan Jenny 
Published: September 2024

Abstract
This chapter looks at practicing, an essential and, for most, daily part of vocal performance. Practice has several aspects: learning new music, technical problem-solving, memorizing, and enhancing endurance. The authors suggest that the singer be clear regarding the purpose of a practice session to maximize its benefits, and caution against overpracticing and possibly straining the vocal apparatus.
The Living Instrument
Authors: Jahn Anthony F , Cho Youngnan Jenny 
Published: September 2024

Abstract
The entire body is the singer’s instrument, and with time, the instrument changes. Nonetheless, many singers are able to continue a productive career for decades. This chapter gives an overview of how the vocal apparatus and the voice develop and change from infancy to old age. We provides suggestions on how the vocalist can recognize, adapt to, and optimize the instrument with the passing years.
A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks
Authors: Zhan Lingmin , Wang Yingdong , Wang Aoyi , Zhang Yuanyuan , Cheng Caiping , Zhao Jinzhong , Zhang Wuxia , Chen Jianxin , Li Peng 
Published: September 2024

Abstract
Systematic characterization of biological effects to genetic perturbation is essential to the application of molecular biology and biomedicine. However, the experimental exhaustion of genetic perturbations on the genome-wide scale is challenging. Here, we show TranscriptionNet, a deep learning model that integrates multiple biological networks to systematically predict transcriptional profiles to three types of genetic perturbations based on transcriptional profiles induced by genetic perturbations in the L1000 project: RNA interference, clustered regularly interspaced short palindromic repeat, and overexpression. TranscriptionNet performs better than existing approaches in predicting inducible gene expression changes for all three types of genetic perturbations. TranscriptionNet can predict transcriptional profiles for all genes in existing biological networks and increases perturbational gene expression changes for each type of genetic perturbation from a few thousand to 26 945 genes. TranscriptionNet demonstrates strong generalization ability when comparing predicted and true gene expression changes on different external tasks. Overall, TranscriptionNet can systemically predict transcriptional consequences induced by perturbing genes on a genome-wide scale and thus holds promise to systemically detect gene function and enhance drug development and target discovery.