Angiotensin II type-1 receptor autoantibody positively correlates with the rate of metaphase I oocytes in infertility with ovulatory disorder.

The renin-angiotensin system (RAS) plays an important role in reproductive function. Our previous study identified that angiotensin II type-1 receptor autoantibody (AT1-AA), an autoantibody that activates RAS, was closely associated with infertility. However, its distribution in different types of infertility remained unclear. This study was designed to explore the distribution of AT1-AA in infertile patients and the connections between AT1-AA and oocyte development and pregnancy outcome. A total of 184 infertile women participated, with samples collected from peripheral venous blood. ELISA was used to detect AT1-AA levels in their sera. It was observed that the proportion of ovulation-disorder factors in AT1-AA-positive group was significantly higher than that in negative group (P=0.001). In 59 infertile women with ovulatory disorders, compared with negative group, AT1-AA-positive group had lower rate of retrieval (P=0.032) and metaphase II (MII) oocytes (P=0.011) but higher proportion of metaphase I (MI) oocytes (P=0.019). A negative correlation was found between the levels of AT1-AA and rate of retrieval and MII oocytes (P=0.027; P=0.043), whereas a positive correlation was observed with the proportion of MI oocytes (P=0.002). Moreover, a specific predictive value for proportion of reaching MII and MI oocytes was exhibited by AT1-AA (P < 0.01; P < 0.05). But no significant difference in embryonic parameters or pregnancy outcomes between two groups was observed (P > 0.05). This study revealed that serum AT1-AA levels were significantly increased in infertile women with ovulatory disorders and positively correlated with proportion of MI oocytes, but not associated with outcomes of assisted reproduction.

Low Level of Accurate Knowledge of Undetectable Equals Untransmittable (U = U) Among Men Who Have Sex with Men (MSM) Challenges U = U Achievement in Chengdu, Southwestern China.

The introduction of the undetectable equals untransmittable (U = U) statement significantly reduces HIV stigma and provides an empirical basis for achieving "zero transmission." U = U messaging has gained increasing support and is well-developed in several countries. However, the current status of accurate knowledge of U = U and its associated factors among men who have sex with men (MSM) in China remians unclear. We conducted a cross-sectional survey among MSM recruited in Chengdu, China, from March to May 2022 to investigate the percentage of those who knew U = U accurately and to explore associations between sexual risk behaviors, HIV testing, socio-behavioral measures, and accurate knowledge of U = U. Of 497 MSM included in our study, 23.4% (116/497) had accurate knowledge of U = U. More than half of the participants (63.2%, 314/497) reported multiple sexual partnerships, 15.7% (78/497) used substance during sex, 37.4% (186/497) reported inconsistent condom use, and 76.1% (378/497) took HIV testing in the past six months. Factors associated with accurate knowledge of U = U among MSM included substance use during sex (multivariate odds ratios ORm = 1.96; 95%CI: 1.13-3.41), HIV status tested in the last six months (ORm = 2.07; 95%CI: 1.14-3.77), HIV-related literacy (ORm = 1.41; 95%CI: 1.14-1.74) and perceived higher risk of HIV infection (ORm = 1.11; 95%CI: 1.02-1.21). The findings indicate that great challenges need to be conquered for U = U achievement among the MSM population in Chengdu, China. Intervention strategies should be prioritized in health education on high-risk behaviors such as group sex and substance use, information provision and counseling of U = U in HIV testing services, and encouraging U = U knowledge sharing among MSM with their partners in China.

Unplanned Perioperative Reoperation Following Pulmonary Resection in Lung Cancer Patients: A Report of a Single-Center Experience.

BACKGROUND: Pulmonary resection is an important part of comprehensive treatment of lung cancer. Despite the progress in recent thoracic surgery, reoperation is occasionally inevitable for managing severe perioperative complications. This study aimed to investigate the incidence and causes of perioperative reoperation in lung cancer patients. METHODS: We retrospectively collected patients who underwent reoperation following pulmonary resection from January 2010 to February 2021 in China-Japan Friendship Hospital. RESULTS: Among the 5032 lung cancer patients who received primary pulmonary resection in our institute, 37 patients underwent perioperative reoperation with the rate being 0.74%. Lobectomy was the most frequently executed procedure (56.8%). The mean duration of the primary surgery was 143.6 ± 65.1 min. About half of the cases received secondary surgery within 24 h of the primary surgery, whereas only one case underwent secondary surgery 30 days after the primary surgery (due to chylous leakage). The major causes of the reoperation were bleeding (73.0%), chylous leakage (13.5%), lobar torsion (5.4%), air leakage (2.7%), atelectasis (2.9%), and cardiac herniation (2.7%). CONCLUSION: The most prevalent reasons for unplanned reoperation following pulmonary resection in lung cancer patients include bleeding, chylous leakage, and lobar torsion. The strict control of the surgical indications and standardization of surgical procedures are fundamental to reduce unplanned secondary operations after pulmonary resections. Timely identification of the need to secondary surgery is also important to ensure patients' safety.

Gradient Inversion Attacks: Impact Factors Analyses and Privacy Enhancement.

Gradient inversion attacks (GIAs) have posed significant challenges to the emerging paradigm of distributed learning, which aims to reconstruct the private training data of clients (participating parties in distributed training) through the shared parameters. For counteracting GIAs, a large number of privacy-preserving methods for distributed learning scenario have emerged. However, these methods have significant limitations, either compromising the usability of global model or consuming substantial additional computational resources. Furthermore, despite the extensive efforts dedicated to defense methods, the underlying causes of data leakage in distributed learning still have not been thoroughly investigated. Therefore, this paper tries to reveal the potential reasons behind the successful implementation of existing GIAs, explore variations in the robustness of models against GIAs during the training process, and investigate the impact of different model structures on attack performance. After these explorations and analyses, this paper propose a plug-and-play GIAs defense method, which augments the training data by a designed vicinal distribution. Sufficient empirical experiments demonstrate that this easy-toimplement method can ensure the basic level of privacy without compromising the usability of global model.

Long noncoding RNA LINC00921 serves as a predictive biomarker for lung adenocarcinoma: An observational study.

Lung adenocarcinoma (LUAD) is usually diagnosed at advanced stages. Hence, there is an urgent need to seek an effective biomarker to predict LUAD status. Long noncoding RNAs (lncRNAs) play key roles in the development of tumors. However, the relationship between LINC00921 and LUAD remains unclear. The gene expression data of LUAD were downloaded from the Cancer Genome Atlas database to investigate the expression level of LINC00921 in LUAD. Diagnostic ability analysis, survival analysis, tumor mutational burden analysis, and immune cell infiltration analysis of LINC00921 in LUAD patients were performed simultaneously. According to the median expression value of LINC00921, patients were divided into LINC00921 high- and low-expression groups. The function of LINC00921 in LUAD was identified through difference analysis and enrichment analysis. Moreover, drugs that may be relevant to LUAD treatment were screened. Finally, blood samples were collected for real-time polymerase chain reaction. LINC00921 was significantly lower in LUAD tumor tissues. Notably, patients with low expression of LINC00921 had a shorter median survival time. Decreased immune cell infiltration in the tumor microenvironment in the low LINC00921 expression group may contribute to poorer patient outcomes. Tumor mutational burden was significantly different in survival between the LINC00921 high- and low-expression groups. In addition, LINC00921 may exert an influence on cancer development through its regulation of target genes transcription. Glyceraldehyde-3-phosphate dehydrogenase-related drugs may be more likely to be therapeutically effective in LUAD. LINC00921 was able to be used as the potential diagnostic indicator for LUAD.

The associations between social support change and physical activity trajectory from late adolescence to young adulthood.

BACKGROUND: Previous research examined the associations between social support and physical activity. However, little is known about the associations between social support change and trajectories of physical activity during the transition from late adolescence to young adulthood. METHODS: The current study sought to examine these issues among 434 Chinese college students (Mage = 19.15, SDage = 0.61; 46.1% male), who completed questionnaires regarding demographics, physical activity, family support change, and peer support change across three waves (the data from one of the waves was retrospective). RESULTS: After controlling for covariates, the findings revealed that: (a) there was an increase in overall physical activity and duration, but a decrease in frequency during the transition from late adolescence (the second year of high school) to young adulthood (the third year of college); (b) family support change did not contribute to trajectories of physical activity, while peer support change significantly predicted the trajectory of overall physical activity, duration, and frequency. CONCLUSIONS: The findings extend the literature on physical activity from a developmental perspective by revealing different trends among physical activity duration and frequency, and unpacking different effects of family and peer support change on trajectories of physical activity.

Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study.

BACKGROUND: Patients with type 2 diabetes (T2DM) have an increasing need for personalized and Precise management as medical technology advances. Artificial intelligence (AI) technologies on mobile devices are being developed gradually in a variety of healthcare fields. As an AI field, knowledge graph (KG) is being developed to extract and store structured knowledge from massive data sets. It has great prospects for T2DM medical information retrieval, clinical decision-making, and individual intelligent question and answering (QA), but has yet to be thoroughly researched in T2DM intervention. Therefore, we designed an artificial intelligence-based health education accurately linking system (AI-HEALS) to evaluate if the AI-HEALS-based intervention could help patients with T2DM improve their self-management abilities and blood glucose control in primary healthcare. METHODS: This is a nested mixed-method study that includes a community-based cluster-randomized control trial and personal in-depth interviews. Individuals with T2DM between the ages of 18 and 75 will be recruited from 40-45 community health centers in Beijing, China. Participants will either receive standard diabetes primary care (SDPC) (control, 3 months) or SDPC plus AI-HEALS online health education program (intervention, 3 months). The AI-HEALS runs in the WeChat service platform, which includes a KBQA, a system of physiological indicators and lifestyle recording and monitoring, medication and blood glucose monitoring reminders, and automated, personalized message sending. Data on sociodemography, medical examination, blood glucose, and self-management behavior will be collected at baseline, as well as 1,3,6,12, and 18 months later. The primary outcome is to reduce HbA1c levels. Secondary outcomes include changes in self-management behavior, social cognition, psychology, T2DM skills, and health literacy. Furthermore, the cost-effectiveness of the AI-HEALS-based intervention will be evaluated. DISCUSSION: KBQA system is an innovative and cost-effective technology for health education and promotion for T2DM patients, but it is not yet widely used in the T2DM interventions. This trial will provide evidence on the efficacy of AI and mHealth-based personalized interventions in primary care for improving T2DM outcomes and self-management behaviors. TRIAL REGISTRATION: Biomedical Ethics Committee of Peking University: IRB00001052-22,058, 2022/06/06; Clinical Trials: ChiCTR2300068952, 02/03/2023.

Effects of personal and interpersonal factors on changes of food choices and physical activity among college students.

BACKGROUND: Health behaviors developed in the college years tend to persist in adulthood. However, distinct changing patterns of food choices and physical activity (PA) and their predictors are still less clear among college students. The current study sought to explore changes of food choices and PA, as well as the effects of personal and interpersonal factors. METHOD: Two-wave longitudinal data was collected from a sample of 431 Chinese college students (Mean baseline age = 19.15 ± 0.61 years; 45.7% male). A validated self-reported food frequency questionnaire was used to assess the frequency of food choices. The Chinese revised version of physical activity rating scale was used to assess physical activity. Latent profile analysis, latent transition analysis, and multinomial logistic regression analysis were used to analyze the data. RESULTS: Two profiles of food choices, i.e., Avoiding staples (5.1% at Time 1) and Varied diet (94.9% at Time 1), were identified at both timepoints. 90.9% remained the same profiles over time, 63.6% participants in the Avoiding staples profile shifted to the Varied diet profile, and only 6.3% of those in the Varied diet profile shifted to the Avoiding staples profile. Negative body shape-related belief was related to the translation from the Varied diet profile to the Avoiding staples profile. Further, four profiles of PA, i.e., Inactives (51.0% at Time 1), Low activies (26.0% at Time 1), Moderate activies (15.3% at Time 1), and Activies (7.7% at Time 1), were identified at both timepoints. 50.8% remained the same profiles over time, 38.6% Inactivies shifted to the other profiles, and 48.5% Activies shifted to the other profiles over time. Participants with higher self-efficacy showed an increase in PA over time, and those with lower self-efficacy and lower peer support showed a decrease in PA over time. CONCLUSIONS: Overall, most of college students remained the same food choices profiles, and body shape-related belief contributed to changes in food choices profiles. About half of college students experienced changes in PA, and the predictors of such changes were peer support and self-efficacy. The findings extend the understanding of the personal and interpersonal predictors of health behaviors among college students from a dynamic perspective.

Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing.

INTRODUCTION: Beijing initiated the nation's most comprehensive tobacco control program that adheres to the WHO Framework Convention on Tobacco Control. This study aimed to identify a set of indicators for the scoping of an Health Impact Assessment (HIA) to assess this policy. METHODS: This study used a modified Delphi process. It proposed a tobacco control health impact framework based on the Driving forces- Pressure- State- Exposure- Effect- Action model and the Determinants of Health Theory. After a review of current surveillance system and literature, a working group of 13 experts with multidisciplinary background was established to formulate indicator evaluation criteria and conduct indicator scoring. Each indicator was scored by experts according to four evaluation criteria chosen. Indicators that obtained a total score above 80% and with standard error less than 5 were selected as the final set of indicators. Kendall's coefficient of concordance was calculated. RESULTS: Twenty-three out of 36 indicators were selected. Smoking prevalence, mortality rate, hospital admission rate, tobacco consumption and hospital admission fees of smoking related diseases achieved more than 90% of total scores and ranked as the top five. Kendall's concordance coefficient was 0.218 for all indicators. For all model composition, Kendall's concordance coefficients were statistically significant. CONCLUSION: This study identified a set of twenty-three indicators for scoping of HIA of a comprehensive tobacco control policy in Beijing based on a tobacco control health impact conceptual framework. The set of indicators achieved high scores and statistically significant consistency and has great potential to promote the evaluation of tobacco control policy in a global city. Further study might use the set of indicators for HIA on tobacco control policy to analyze empirical data.

Assessment of preoperative anxiety and depression in patients with pulmonary ground-glass opacities: Risk factors and postoperative outcomes.

Objective: A large number of patients with pulmonary ground-glass opacities (GGOs) have anxiety and depression. However, the contributing factors and effects of anxiety and depression on postoperative outcomes are still unclear. Methods: Clinical data for patients undergoing surgical resection for pulmonary GGOs were collected. We prospectively evaluated levels and risk factors for anxiety and depression in patients with GGOs before surgery. The relationship between psychological disorders and postoperative morbidity was evaluated. Quality of life (QoL) was also assessed. Results: A total of 133 patients were enrolled. Prevalence rates of preoperative anxiety and depression were 26.3% (n = 35) and 18% (n = 24), respectively. Multivariate analysis revealed depression [odds ratio(OR) = 16.27, p < 0.001] and multiple GGOs (OR = 3.146, p = 0.033) to be risk factors for preoperative anxiety. Anxiety (OR = 52.166, p < 0.001), age > 60 (OR = 3.601, p = 0.036), and unemployment (OR = 8.248, p = 0.006) were identified as risk factors for preoperative depression. Preoperative anxiety and depression were associated with lower QoL and higher postoperative pain scores. Our results also revealed that the incidence of postoperative atrial fibrillation was higher in patients with than in those without anxiety. Conclusions: In patients with pulmonary GGOs, comprehensive psychological assessment and appropriate management are required before surgery to improve QoL and reduce postoperative morbidity.

Multiple streams approach to tobacco control policymaking in the capital city of the world's largest tobacco consuming country.

The aim of this study was to analyse the policymaking process of Beijing tobacco control regulations based on a multiple streams framework to provide a reference for other cities, at the national level and for the international community to promote the development of tobacco control policy. Twenty-one documents related to tobacco control in Beijing were collected, nine informants were interviewed and the interview data were analysed by a thematic framework method. It was found that indicators, feedback and a focus event in the problem stream drew the attention of policymakers and the society for tobacco control. In 2011, Ying Songnian, a representative of the Beijing Municipal People's Congress, put forward tobacco control legislation, which was just in time for the legislative reform of the Congress. The proposal was studied by the Congress, and a strategy of 'social co-governance' was founded. In the political stream, the government actively promoted tobacco control and social organizations extensively participated in it. In 2013, the General Office of the Central Committee of the Chinese Communist Party and the General Office of the State Council issued a notice on matters related to leading cadres taking the lead in banning smoking in public places, which opened a policy window for decision-makers who were hesitatant. The issue of tobacco control was successfully put on the policy agenda and contributed to the introduction of the Beijing Municipal Regulations on Smoking Control. Development of the factors in problem stream, policy stream and political stream promoted the setting up of the tobacco control policy agenda in Beijing. It is suggested that more cities should learn from the experience of Beijing, seize the opportunity of the ideological change of the ruling party, actively identify the problems, mobilize and advocate for representatives and introduce the concept of 'social co-governance' to promote tobacco control legislation.

Evolutionary Robust Clustering Over Time for Temporal Data.

In many clustering scenes, data samples' attribute values change over time. For such data, we are often interested in obtaining a partition for each time step and tracking the dynamic change of partitions. Normally, a smooth change is assumed for data to have a temporal smooth nature. Existing algorithms consider the temporal smoothness as an a priori preference and bias the search toward the preferred direction. This a priori manner leads to a risk of converging to an unexpected region because it is not always the case that a reasonable preference can be elicited given the little prior knowledge about the data. To address this issue, this article proposes a new clustering framework called evolutionary robust clustering over time. One significant innovation of the proposed framework is processing the temporal smoothness in an a posteriori manner, which avoids unexpected convergence that occurs in existing algorithms. Furthermore, the proposed framework automatically infers the a posteriori preference to temporal smoothness without data's affinity matrix and predefined parameters, which holds better applicability and efficiency. The effectiveness and efficiency of the proposed framework are confirmed by comparing with state-of-the-art algorithms on both synthetic and real datasets.

Comprehensive Analysis of a Novel Immune-Related Gene Signature in Lung Adenocarcinoma.

Lung cancer is the major cause of cancer-related deaths around the world. Lung adenocarcinoma (LUAD), the most common subtype of lung cancer, contributed to the majority of mortalities and showed different clinical outcomes in prognosis. Tumor-infiltrated immune cells at the tumor site are associated with better survival and immunotherapy response. Thus, it is essential to further investigate the molecular mechanisms and new prognostic biomarkers of lung adenocarcinoma development and progression. In this study, a six-gene signature (CR2, FGF5, INSL4, RAET1L, AGER, and TNFRSF13C) was established to predict the prognosis of LUAD patients, as well as predictive value. The prognostic risk model was also significantly associated with the infiltration of immune cells in LUAD microenvironments. To sum up, a novel immune-related six-gene signature (CR2, FGF5, INSL4, RAET1L, AGER, and TNFRSF13C) was identified that could predict LUAD survival and is highly related to B cells and dendritic cells, which may provide a theoretical basis of personalized treatment for targeted immunotherapy.

Controlled Release of TGF-ß3 for Effective Local Endogenous Repair in IDD Using Rat Model.

Introduction: Intervertebral disc (IVD) degeneration (IDD) is one of the most widespread musculoskeletal diseases worldwide and remains an intractable clinical challenge. Currently, regenerative strategies based on biomaterials and biological factors to facilitate IVD repair have been widely explored. However, the harsh microenvironment, such as increased ROS and acidity, of the degenerative region impedes the efficiency of IVD repair. Here, an intelligent biodegradable nanoplatform using hollow manganese dioxide (H-MnO2) was developed to modulate the degenerative microenvironment and release transforming growth factor beta-3 (TGF-ß3), which may achieve good long-term therapeutic effects on needle puncture-induced IDD. Methods: Surface morphology and elemental analysis of the MnO2 nanoparticles (NPs) were performed by transmission electron microscopy and an energy-dispersive X-ray spectroscopy detector system, respectively. The biological effects of MnO2 loaded with TGF-ß3 (TGF-ß3/MnO2) on nucleus pulposus cells (NPCs) were assessed via cytoskeleton staining, EdU staining, qPCR and immunofluorescence. The efficacy of TGF-ß3/MnO2 on needle puncture-induced IDD was further examined using MRI and histopathological and immunohistochemical staining. Results: The MnO2 NPs had a spherical morphology and hollow structure that dissociated in the setting of a low pH and H2O2 to release loaded TGF-ß3 molecules. In the oxidative stress environment, TGF-ß3/MnO2 was superior to TGF-ß3 and MnO2 NPs in the suppression of H2O2-induced matrix degradation, ROS, and apoptosis in NPCs. When injected into the IVDs of a rat IDD model, TGF-ß3/MnO2 was able to prevent the degeneration and promote self-regeneration. Conclusion: Use of an MnO2 nanoplatform for biological factors release to regulate the IDD microenvironment and promote endogenous repair may be an effective approach for treating IDD.

Factors Related to Diabetes Self-Management Among Patients with Type 2 Diabetes: A Chinese Cross-Sectional Survey Based on Self-Determination Theory and Social Support Theory.

Purpose: Self-management behavior (SMB) plays a significant role in glycemic control. This study aimed to explore the factors related to SMB among patients with type 2 diabetes and how these factors interacted with each other. Patients and Methods: Patients diagnosed with type 2 diabetes were recruited from 18 community healthcare stations (CHSs) from six community healthcare centers (CHCs) in Beijing, China from April to May in 2017. Motivation, competence, autonomy support, social support, self-management skills, adherence to self-monitoring of blood glucose (SMBG) and haemoglobin A1c (HbA1c) measurement were tested by questionnaire. Correlation analysis and path analysis were performed so as to identify the factors associated with patients' SMB. Results: A total of 532 participants completed this study. Participants who have good compliance to SMBG got higher scores in social support (F = 7.68, p = 0.01), competence (F = 10.47, p = 0.01), and skills (F = 12.34, p < 0.01). Higher competence (ß = 0.03, P < 0.001), higher social support (ß = 0.01, P < 0.001), better skills(ß = 0.01, P < 0.001) directly led to better adherence to SMBG. Social support had a positive effect on autonomy support (ß = 0.69, P < 0.001), motivation (ß = 0.45, P < 0.001), competence (ß = 0.28, P < 0.001), skills (ß = 0.14, P < 0.001), which was also indirectly linked to better adherence to SMBG. Better self-management skills directly led to better adherence to HbA1c measurement (ß = 0.03, P < 0.001). Social support had a positive effect on autonomy support (ß = 0.69, P < 0.001), motivation (ß = 0.45, P < 0.001), competence (ß = 0.28, P < 0.001), skills (ß = 0.14, P < 0.001), which was also indirectly linked to better adherence to HbA1c measurement. Conclusion: Self-determination theory and social support theory were practical in explaining SMB in Chinese population. Competence, motivation and social support played an important role in diabetic self-management. Paying attention to the promotion of individual's intrinsic motivation and self-efficacy may be able to help patients maintain self-management behavior in the long-term routine.

TraceBERT-A Feasibility Study on Reconstructing Spatial-Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences.

Trajectory data represent an essential source of information on travel behaviors and human mobility patterns, assuming a central role in a wide range of services related to transportation planning, personalized recommendation strategies, and resource management plans. The main issue when dealing with trajectory recordings, however, is characterized by temporary losses in the data collection, causing possible spatial-temporal gaps and missing trajectory segments. This is especially critical in those use cases based on non-repetitive individual motion traces, when the user's missing information cannot be directly reconstructed due to the absence of historical individual repetitive routes. Inserted in the context of location-based trajectory modeling, we tackle the problem by proposing a technical parallelism with the natural language processing domain. Specifically, we introduce the use of the Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art language representation model, into the trajectory processing research field. By training deep bidirectional representations from unlabeled location sequences, jointly conditioned on both left and right context, we derive an explicit predicted estimation of the missing locations along the trace. The proposed framework, named TraceBERT, was tested on a real-world large-scale trajectory dataset of short-term tourists, exploring an effective attempt of adapting advanced language modeling approaches into mobility-based applications and demonstrating a prominent potential on trajectory reconstruction over traditional statistical approaches.

Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process.

Dynamic multiobjective optimization problems are challenging due to their fast convergence and diversity maintenance requirements. Prediction-based evolutionary algorithms currently gain much attention for meeting these requirements. However, it is not always the case that an elaborate predictor is suitable for different problems and the quality of historical solutions is sufficient to support prediction, which limits the availability of prediction-based methods over various problems. Faced with these issues, this article proposes a knowledge learning strategy for change response in the dynamic multiobjective optimization. Unlike prediction approaches that estimate the future optima from previously obtained solutions, in the proposed strategy, we react to changes via learning from the historical search process. We introduce a method to extract the knowledge within the previous search experience. The extracted knowledge can accelerate convergence as well as introduce diversity for the optimization of the future environment. We conduct a comprehensive experiment on comparing the proposed strategy with the state-of-the-art algorithms. Results demonstrate the better performance of the proposed strategy in terms of solution quality and computational efficiency.

An Error Compensation Method for Improving the Properties of a Digital Henon Map Based on the Generalized Mean Value Theorem of Differentiation.

Continuous chaos may collapse in the digital world. This study proposes a method of error compensation for a two-dimensional digital system based on the generalized mean value theorem of differentiation that can restore the fundamental performance of chaotic systems. Different from other methods, the compensation sequence of our method comes from the chaotic system itself and can be applied to higher-dimensional digital chaotic systems. The experimental results show that the improved system is highly consistent with the real chaotic system, and it has excellent chaotic characteristics such as high complexity, randomness, and ergodicity.

Hybrid Control of Digital Baker Map with Application to Pseudo-Random Number Generator.

Dynamical degradation occurs when chaotic systems are implemented on digital devices, which seriously threatens the security of chaos-based cryptosystems. The existing solutions mainly focus on the compensation of dynamical properties rather than on the elimination of the inherent biases of chaotic systems. In this paper, a unidirectional hybrid control method is proposed to improve the dynamical properties and to eliminate the biases of digital chaotic maps. A continuous chaotic system is introduced to provide external feedback control of the given digital chaotic map. Three different control modes are investigated, and the influence of control parameter on the properties of the controlled system is discussed. The experimental results show that the proposed method can not only improve the dynamical degradation of the digital chaotic map but also make the controlled digital system produce outputs with desirable performances. Finally, a pseudorandom number generator (PRNG) is proposed. Statistical analysis shows that the PRNG has good randomness and almost ideal entropy values.

Dual-specificity phosphatase 15 (DUSP15) in the nucleus accumbens is a novel negative regulator of morphine-associated contextual memory.

Drug relapse among addicts often occurs due to the learned association between drug-paired cues and the rewarding effects of these drugs, such as morphine. Contextual memory associated with morphine has a central role in maintenance and relapse. We showed that morphine-conditioned place preference (CPP) activates extracellular-regulated protein kinase (ERK) in the nucleus accumbens (NAc). The main enzymes that mediate ERK dephosphorylation are members of the dual-specificity phosphatase (DUSP) superfamily. It is unclear which members regulate the morphine CPP-induced activation of ERK. After screening, DUSP15 was found to be decreased during both morphine CPP expression and the reinstatement period. Intra-NAc infusions of AAV-DUSP15 (overexpression) not only prevented the expression of morphine-induced CPP but also facilitated extinction, inhibited reinstatement, and abolished ERK activation. However, after repeated morphine exposure and withdrawal in mice, there was no change in the expression of p-ERK and DUSP15, and the overexpression of DUSP15 in the NAc did not improve the impaired spatial memory or anxiety-like behaviour induced by morphine. Together, these findings indicate that DUSP15 not only prevents the expression of drug-paired contextual memory but also promotes the extinction of existing addiction memories, thus providing a novel therapeutic target for the treatment of drug addiction.