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In the industrial Internet of things, the generation of tasks is observed to exhibit both continuity and periodicity, along with stringent latency requirements. These characteristics posed challenges to system's cost-efficiency. To address these challenges, a cost minimization resource allocation algorithm based on the urgency of tasks was proposed. By employing a genetic algorithm, the task offloading strategy and the system's resource allocation strategy were optimized. For offloaded tasks, they were scheduled according to their level of urgency. Additionally, the optimal transmission power for each task was calculated to meet latency constraints. Simulation results indicate that the proposed algorithm effectively reduces the overall energy cost of the system.

Cyber resiliency engineering is a technical approach embraced by countries and regions such as the United States and Europe to implement digital transformation and address network security challenges under new circumstances. It aims to keep the barriers to entry high for digital technologies based on the cyber resilience standard and to improve the digital infrastructure security capability of China from both the application service and device supply sides. This study focuses on the impact and challenges brought by the initiatives of cyber resiliency engineering in the United States and Europe on the development of new-generation network information technology in China. It starts from a concept introduction of resilience, cyber resilience, and cyber resiliency engineering. Subsequently, it elaborates on the application progress of cyber resiliency engineering in the United States and Europe in terms of policy drivers, strategic considerations, and development dilemmas. Moreover, the study goes further to propose a dynamic heterogeneous redundancy architecture based on an endogenous security and safety (ESS) theory. It describes and illustrates the intrinsic mechanism, basic concepts, and application methods of cyber resilience empowered by ESS. Furthermore, we propose that China should accelerate innovation to offset the combined effects of cyber resiliency engineering in developed countries, introduce a cyber resilience policy and law system with Chinese characteristics, establish corresponding regulatory systems to clarify the network security responsibilities, establish a quantifiable, verifiable, and credible testing and evaluation system, and boost the holistic implementation of cyber resilience with a multi-pronged approach including financial marketization, hoping to ystematically enhance the cyber resilience and strength of China.

Objective To investigate the changes of neural function and its correlation with cognitive function and emotion in patients with neuropsychiatric systemic lupus erythematosus (NPSLE). Methods A total of 46 patients with systemic lupus erythematosus (SLE) admitted to The Affiliated Taizhou People's Hospital of Nanjing Medical University from June 2020 to September 2022 were included. The patients were divided into the NPSLE group (n = 26) and the non⁃NPSLE group (n = 20) based on the presenceor absence of neuropsychiatric symptoms. The mean regional homogeneity (mReHo) and mean fractional amplitude of low⁃frequency fluctuation (mfALFF) were calculated by resting⁃state fMRI (rs⁃fMRI). The Mini⁃Mental State Examination (MMSE) was used to evaluate overall cognitive function, the Fatigue Scale for Motor and Cognitive Functions (FSMC) was used to assess both motor and cognitive fatigue, and the Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety and depression mood. Pearson correlation analysis and partial correlation analysis were conducted to explore the correlation of mReHo and mfALFF values in various brain regions with neuropsychologcial tests. Results The MMSE scores in NPSLE group was lower than non⁃NPSLE group (Z = ⁃ 3.934, P = 0.000). Additionally, the FSMC⁃ Motor (t = 2.016, P = 0.050), FSMC⁃Cognition (t = 2.055, P = 0.046), HADS⁃Anxiety (Z = ⁃ 2.424, P = 0.015) and HADS⁃Depression (Z = ⁃ 2.731, P = 0.006) scores in NPSLE group were higher than those in non⁃NPSLE group. The mReHo values of the right dorsolateral superior frontal gyrus, right middle occipital gyrus, right posterior central gyrus, right inferior parietal margin angular gyrus and right inferior temporal gyrus decreased, while mfALFF values of the right middle occipital gyrus and right posterior central gyrus decreased in the NPSLE group (false discovery rate correction; voxel level P < 0.001, cluster P < 0.05). The mReHo and mfALFF in the right postcentral gyrus were both negatively correlated with HADS⁃Depression (r = ⁃ 0.483, P = 0.017; r = ⁃ 0.504, P = 0.012). The mReHo in the right inferior parietal gyrus was negatively correlated with FSMC ⁃Motor (r = ⁃ 0.475, P = 0.019) and FSMC ⁃Cognition (r = ⁃ 0.414, P = 0.044). The mReHo in the right inferior temporal gyrus was negatively correlated with FSMC⁃Cognition (r = ⁃ 0.427, P = 0.037). Conclusions NPSLE patients exhibited abnormal local activity in brain regions, and neural function is closely related to neuropsychological test.

To better improve students’ physical quality, this paper constructs a self-coding training model for the optimal path of football physical education based on the self-coding neural network in the deep learning model. The student’s physical performance and teaching methods are input into the self-coding neural network for the optimal path of football physical education as the input layer. The data are corrected by regularizing and balancing the data in the input layer through coding and decoding in the implicit layer. The corrected data is reconstructed and transformed as the input layer of the next level of the self-coding neural network. The above steps are repeated until the same output layer parameters as the pre-trained model are reached, resulting in the optimization path of football physical education teaching: changing the teaching mode and improving the teaching ability of teachers. The simulation results show that the optimized teaching mode can improve the average score of students’ football physical education by 33 points. Taking junior students as an example, after the teacher’s teaching ability was improved, the excellent rate of students’ football physical education scores increased from 7% to 29%. From the above results, it can be seen that the optimized path of football physical education based on the deep learning model is feasible and can improve students’ physical quality.

To address the serious imbalance between the supply and demand of the cybersecurity workforce, this paper proposes to embrace the latest trend of a fundamental shift in the “underlying dynamics of the digital ecosystem”, focusing on a shared liability for cybersecurity between the application side and the manufacturing side. Assuming that product providers shall take more responsibility by implementing secure defaults, this paper explores the establishment of an S&S talent cultivation system to strike the right balance of cybersecurity liabilities by nurturing more responsible developers. This paper proposes a Knowledge, Skill, and Awareness (KSA) model for Security and Safety (S&S) talent cultivation, proves the feasibility of this model by analyzing the theoretical, disciplinary, methodological, practical, and societal foundations of S&S talent cultivation. Additionally, this paper proposes principles and strategies for building a S&S talent cultivation system based on its unique characteristics and patterns. It gives a talent cultivation scheme, supported by an “Independent Knowledge System, Education and Cultivation System, Practice and Training system, Evaluation and Certification system, and Awareness Popularization System”. Finally, this paper puts forward a proposal for coordinating efforts and adopting multiple measures to accelerate the cultivation of S&S talents.

【Objective】 Optimizing water allocation to channel networks in irrigation districts can reduce water waste and help improve water use efficiency. This paper presents the application of a modified beetle swarm optimization algorithm to achieve this goal. 【Method】 The analysis was based on irrigation in 2020 at Dagong irrigation district. Reducing water losses from seepage in the channel network was taken as the optimization objective, and operating duration of each channel and water discharge to the low-order branches were taken as the decision variables. We constructed water distribution in the channel network and solved the optimization using the beetle swarm optimization algorithm. The results were compared with those obtained from the beetle antennae search algorithm and the particle swarm algorithm. 【Result】 The total water distribution calculated from the beetle swarm optimization algorithm is 3 918 500 m3, the total loss from leakage is 228 700 m3, and the total water distribution time is 7.30 d. These are a great improvement compared with those obtained from the beetle antennae search algorithm, and close to the results calculated from the particle swarm algorithm. 【Conclusion】 The modified beetle swarm optimization algorithm is efficient and the results calculated by it meet the requirements for optimal allocation of water resources to channel network in irrigation district. It can be used to improve water management in irrigation districts and other areas.

The interaction of man, society with nature has always been one of the most complex and contradictory topics in various fields of scientific knowledge. This interaction was constantly transformed, but one feature has always remained unchanged – human life directly depends on the state of nature. The ecological situation that has developed at present, despite its constant updating at the international, federal and regional levels, continues to remain unresolved, the threat to human life continues to grow. In this regard, the scientific substantiation of the creation of effective mechanisms and technologies of environmental policy that will contribute to overcoming the environmental crisis becomes urgent. The authors define the main goal of the study as identifying the features and effective mechanisms of modern environmental policy of Russia and China at the social, technological, natural levels of interaction between nature and society. The methodological basis of the research includes: a general theory of interaction between nature and society, which allows us to analyze the main directions and mechanisms of overcoming the ecological crisis at the social, technological, natural levels of interaction between nature and society; a comparative historical approach, which allowed us to consider the dynamics and features of the development of environmental policy in Russia and China; a systematic approach that contributed to a comprehensive analysis of the features of environmental policy, taking into account the socio-economic, political factors of the development of countries. This article highlights the main directions, stages, effective mechanisms of modern environmental policy in Russia and China at the social, technological, natural levels of interaction between nature and society. We concluded that the effective mechanisms of environmental policy are those that are associated with changes at the technological level of interaction between nature and society, associated with green and ecological production, measures taken at the level of plagenous processes remain ineffective. The research materials can be applied to study and identify ways to overcome the ecological crisis, the features of modern modernization processes in Russia and China.

The evaluation indexes of vehicle shift quality,including the shifting-impact,the friction work and the shifting-time are given,combining with the ZL50 loader transmission system and the changes of the shift torque of the power shift clutch in the hydraulic control,several main factors of shift quality are summarized,the impact of the evaluation index is simulated and analyzed by using Matlab/Simulink. Finally,the improved control strategy is given through the experiment.

Balantidium grimi n. sp. is described from the rectum of the frog Quasipaa spinosa (Amphibia, Dicroglossidae) from Lishui, Zhejiang Province, China. The new species is described by both light microscopy (LM) and scanning electron microscopy (SEM), and a molecular phylogenetic analysis is also presented. This species has unique morphological features in that the body shape is somewhat flattened and the vestibulum is “V”-shaped, occupying nearly 3/8 to 4/7 of the body length. Only one contractile vacuole, situated at the posterior body, was observed. The phylogenetic analysis based on SSU-rDNA indicates that B. grimi groups together with B. duodeni and B. entozoon. In addition, the genus Balantidium is clearly polyphyletic.

Morphological studies of Sicuophora (Syn. Wichtermania) multigranularis Xiao et al., 2002, from the rectum of the frog, Quasipaa spinosa, performed using silver impregnation and scanning electron microscopy, confirmed the following newly recognized features: (1) only one apical suture on the right surface; (2) two naked regions at the posterior end of both the left and the right side of the body. Phylogenetic analysis based on the SSU-rRNA gene showed that S. multigranularis is a sister to a clade comprising all other Clevelandellida, strongly supporting the validity of the genus Sicuophora. This is also the first molecular data obtained for the genus Sicuophora. Because of the lack of molecular data, it will be necessary to obtain more genetic data from the family Sicuophoridae to discuss the question of the taxonomic status of the genus Sicuophora.

Cepedea longa Bezzenberger, 1904, collected from Fejervarya limnocharis (Amphibia, Anura, Ranidae) from Honghu Lake, Hubei Province, China in May–July 2016, is described at both light and transmission electron microscope levels. This is the first electron microscopic study of this species. Cepedea longa possesses a developed fibrillar skeletal system, composed of longitudinal fibrillar bands and transversal fibrils as well as numerous thin microfibrils dispersed in the endoplasm, which may play an important role in morphogenesis and offer some resilience to deformations of the cell. Longitudinal microfibrils are polarizing elements of kineties, bordering the somatic kineties on the left side and possibly responsible for kinetosome alignment. Two types of vesicles exist in the somatic cortex: globular endocytotic vesicles and flattened exocytotic vesicles. As to the nuclei of C. longa, a thick microfibrillar layer was observed to attach to the cytoplasmic face of the nuclear envelope. This fact suggests no necessary connection between the presence of this microfibrillar layer and the number of nuclei. In addition, some unknown tightly-packed microtubular structures in the nucleoplasm were observed for the first time in opalinids; neither their nature nor physiological significance is known. A detailed list of all reported Cepedea species is included.