Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering.

Robust face clustering enjoys a wide range of applications for gate passes, surveillance systems and security analysis in embedded sensors. Nevertheless, existing algorithms have limitations in finding accurate clusters when data contain noise (e.g., occluded face clustering and recognition). It is known that in subspace clustering, the ℓ1- and ℓ2-norm regularizers can improve subspace preservation and connectivity, respectively, and the elastic net regularizer (i.e., the mixture of the ℓ1- and ℓ2-norms) provides a balance between the two properties. However, existing deterministic methods have high per iteration computational complexities, making them inapplicable to large-scale problems. To address this issue, this paper proposes the first accelerated stochastic variance reduction gradient (RASVRG) algorithm for robust subspace clustering. We also introduce a new momentum acceleration technique for the RASVRG algorithm. As a result of the involvement of this momentum, the RASVRG algorithm achieves both the best oracle complexity and the fastest convergence rate, and it reaches higher efficiency in practice for both strongly convex and not strongly convex models. Various experimental results show that the RASVRG algorithm outperformed existing state-of-the-art methods with elastic net and ℓ1-norm regularizers in terms of accuracy in most cases. As demonstrated on real-world face datasets with different manually added levels of pixel corruption and occlusion situations, the RASVRG algorithm achieved much better performance in terms of accuracy and robustness.

An electrochemical microbiosensor for serotonin based on surface imprinted layer coordinated bimetal functionalized acupuncture needle.

Serotonin (5-hydroxytryptamine, 5-HT) is a pivotal monoamine neurotransmitter, which is widely distributed in human brain for biological, physical and psychopathological processes. The content of 5-HT can support diagnose of various diseases. To selectively detect 5-HT is very important in clinical medicine. Here, a novel microbiosensor for 5-HT is studied on acupuncture needle. Molecularly imprinted film enwrapped 5-HT was electropolymerized onto bimetallic gold/platinum (Au/Pt) nanoparticles on acupuncture needle microelectrode (ANME). Au/Pt nanostructure exhibited active sites to catalyze the oxidation of 5-HT and bind the generated polymer. 5-HT can be enwrapped by the functional monomer of pyrrole (Py) in the process of electropolymerization with suitably electroactive conformation. Comparing with interfaces of single metal or molecularly imprinted layer, synergistic microbiosensor exhibit better performance for 5-HT. 5-HT can be adsorbed and catalytically oxidized by the imprinted cavities. Under optimized conditions, the peak current linearly increases with the concentration of 5-HT from 0.03 to 500 µM, and a detection limit of 0.0106 µM is obtained. The performance of this microbiosensor is competitive with previous studies. Furthermore, the prepared microbiosensor showed effective application to analyze 5-HT in human serum and urine. Interestingly, the microbiosensor expressed the real-time monitoring ability to 5-HT from stimulated PC12 cells by K+. The microbiosensor also exhibited high selectivity, stability and reproducibility, which is promising in view of the low price, fast response and simple operation.

Feasibility and Acceptability Evaluation of a Digital Therapeutic Program for Improving Cancer Prevention: A Quasi-experimental Pre-post Interventional Pilot Study.

Previous studies have proved that healthy behaviors hinder the onset and progression of tumors. Digital therapeutics (DTx), playing a pivotal role in facilitating behavioral adjustments through educational interventions, lifestyle support, and symptom monitoring, contribute to the goal of tumor prevention. We aim to optimize the evaluation of the feasibility and acceptability of DTx for cancer prevention. This involves assessing AITI's daily activity rates and user feedback, and comparing changes in behavioral habits and differences in SF-36 before and after the intervention. In a 4-week trial with 57 participants engaging actively, we found both the average daily activity rate and 4-week retention rate at 35 (61.4%). The USE Questionnaire scores (validity, ease of use, acquisition, and satisfaction) ranged from 68.06 to 83.10, indicating AITI's user-friendliness and acceptability. Furthermore, positive habit changes were noted among participants in exercise and diet (p < 0.0001), suggesting the effectiveness of the DTx approach in modifying behavioral habits related to physical activity and nutrition. This pilot study underscores the potential of DTx in advancing cancer prevention. However, larger and longer studies are needed to comprehensively assess its impact.

Developing a High-Umami, Low-Salt Soy Sauce through Accelerated Moromi Fermentation with Corynebacterium and Lactiplantibacillus Strains.

The traditional fermentation process of soy sauce employs a hyperhaline model and has a long fermentation period. A hyperhaline model can improve fermentation speed, but easily leads to the contamination of miscellaneous bacteria and fermentation failure. In this study, after the conventional koji and moromi fermentation, the fermentation broth was pasteurized and diluted, and then inoculated with three selected microorganisms including Corynebacterium glutamicum, Corynebacterium ammoniagenes, and Lactiplantibacillus plantarum for secondary fermentation. During this ten-day fermentation, the pH, free amino acids, organic acids, nucleotide acids, fatty acids, and volatile compounds were analyzed. The fermentation group inoculated with C. glutamicum accumulated the high content of amino acid nitrogen of 0.92 g/100 mL and glutamic acid of 509.4 mg/100 mL. The C. ammoniagenes group and L. plantarum group were rich in nucleotide and organic acid, respectively. The fermentation group inoculated with three microorganisms exhibited the best sensory attributes, showing the potential to develop a suitable fermentation method. The brewing speed of the proposed process in this study was faster than that of the traditional method, and the umami substances could be significantly accumulated in this low-salt fermented model (7% w/v NaCl). This study provides a reference for the low-salt and rapid fermentation of seasoning.

Hydrogel/microcarrier cell scaffolds for rapid expansion of satellite cells from large yellow croakers: Differential analysis between 2D and 3D cell culture.

Cell culture meat is based on the scaled-up expansion of seed cells. The biological differences between seed cells from large yellow croakers in the two-dimensional (2D) and three-dimensional (3D) culture systems have not been explored. Here, satellite cells (SCs) from large yellow croakers (Larimichthys crocea) were grown on cell climbing slices, hydrogels, and microcarriers for five days to analyze the biological differences of SCs on different cell scaffolds. The results exhibited that SCs had different cell morphologies in 2D and 3D cultures. Cell adhesion receptors (Itgb1andsdc4) and adhesion spot markervclof the 3D cultures were markedly expressed. Furthermore, myogenic decision markers (Pax7andmyod) were significantly enhanced. However, the expression of myogenic differentiation marker (desmin) was significantly increased in the microcarrier group. Combined with the transcriptome data, this suggests that cell adhesion of SCs in 3D culture was related to the integrin signaling pathway. In contrast, the slight spontaneous differentiation of SCs on microcarriers was associated with rapid cell proliferation. This study is the first to report the biological differences between SCs in 2D and 3D cultures, providing new perspectives for the rapid expansion of cell culture meat-seeded cells and the development of customized scaffolds.

Analysis of online prescription patterns in Chinese patients with sequelae of cerebral infarction: a real-world study.

Cerebral infarction (CI) is a common cerebrovascular disease worldwide, and the burden caused by the sequelae of CI has increased significantly. However, current treatment guidelines lack standardized recommendations for pharmacotherapy of sequelae of CI. This retrospective study collected and analyzed 1.98 million prescriptions concerning sequelae of CI from patients admitted to Zhiyun Health Internet Hospital in 2022. The mean age of patients was 66.2 ± 11.4 years, and 52.40% were male. 79.73% had one or more comorbidities. For treatment, the prescriptions of 1-, 2- and ≥ 3-drug accounted for 64.55%, 23.77% and 11.68% respectively. Chinese patent medicine (CPM) prescriptions, western medicine (WM) prescriptions, and CPM and WM combined (CPM + WM) prescriptions accounted for 53.81%, 27.33%, and 18.86% respectively. In CPM prescriptions, the most frequently prescribed medications were Salvia miltiorrhiza (34.81%), Ginkgo biloba (24.96%), Panax notoginseng (20.67%), Gastrodia (7.15%) and Ligusticum Wallichii (4.90%). For WM prescriptions, the most commonly prescribed agents were anti-hypertensive (32.82%), anti-thrombotic (16.06%), vasodilator (15.70%), anti-dementia (10.88%), and lipid-lowering (9.58%) drugs. Among CPM + WM prescriptions, 72.61% had CPM/WM = 1, 21.20% had CPM/WM < 1, and 6.19% had CPM/WM > 1. This research utilized real-world data extracted from internet hospitals in China to present valuable evidence of online prescription patterns among patients experiencing sequelae of CI.

DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems.

Many research works have shown that the traditional alternating direction multiplier methods (ADMMs) can be better understood by continuous-time differential equations (DEs). On the other hand, many unfolded algorithms directly inherit the traditional iterations to build deep networks. Although they achieve superior practical performance and a faster convergence rate than traditional counterparts, there is a lack of clear insight into unfolded network structures. Thus, we attempt to explore the unfolded linearized ADMM (LADMM) from the perspective of DEs, and design more efficient unfolded networks. First, by proposing an unfolded Euler LADMM scheme and inspired by the trapezoid discretization, we design a new more accurate Trapezoid LADMM scheme. For the convenience of implementation, we provide its explicit version via a prediction-correction strategy. Then, to expand the representation space of unfolded networks, we design an accelerated variant of our Euler LADMM scheme, which can be interpreted as second-order DEs with stronger representation capabilities. To fully explore this representation space, we designed an accelerated Trapezoid LADMM scheme. To the best of our knowledge, this is the first work to explore a comprehensive connection with theoretical guarantees between unfolded ADMMs and first-(second-) order DEs. Finally, we instantiate our schemes as (A-)ELADMM and (A-)TLADMM with the proximal operators, and (A-)ELADMM-Net and (A-)TLADMM-Net with convolutional neural networks (CNNs). Extensive inverse problem experiments show that our Trapezoid LADMM schemes perform better than well-known methods.

Effect of emerging digital technologies and methodologies combined with incentives on HbA1c in patients with type 2 diabetes mellitus: study protocol for a parallel, open randomized controlled trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a common metabolic disease that requires long-term management and treatment. Digital intervention, as an emerging medical model, has been widely used in the treatment of T2DM patients. Behavioral economics theory provides a favorable perspective for studying the effect of digital intervention because it can reveal the decision-making mechanisms behind human behavior and provide more effective interventions for digital intervention. The purpose of this trial is to evaluate the impact of behaviorally based digital intervention on T2DM patients' HbA1c, self-monitoring of blood glucose (SMBG) testing rate, diabetes self-efficacy, and other indicators compared to conventional treatment. METHODS: This trial is a prospective randomized controlled trial conducted at the First People's Hospital of Kunshan City from April 1, 2023, to December 31, 2024, with a follow-up period of 3 months. The specific randomization method was established and implemented through the EDC clinical trial center's randomization system. We will measure and collect baseline data from three groups, including Group A: digital intervention + virtual incentives + conventional treatment, Group B: digital intervention + physical incentives + conventional treatment, and Group C: conventional treatment. HbA1c, weight, SMBG testing rate, diabetes self-efficacy, and diabetes-related medical expenses will be recorded at baseline, 1 month, 2 months, and 3 months for all three groups. The Shapiro-Wilk test will be used to test for normality, and Pearson correlation analysis will be used for correlation analysis. Dropouts will be analyzed separately. Analysis of variance or exact probability calculation will be used to compare demographic data and other baseline indicators. DISCUSSION: This study is a novel clinical trial that integrates multiple disciplines (economics and medicine) and uses digital technology to deliver the intervention. Most published studies were offline interventions based on behavioral economics theory, but very few were on online interventions for T2DM patients. This study has both novelty and social value. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2300070753. Registered on 2023/04/22.

Association between social support and the severity of positive symptoms in rural community-dwelling patients with schizophrenia during the COVID-19 pandemic.

BACKGROUND: This study examined the association between social support and the severity of positive symptoms in rural community-dwelling schizophrenia patients during the COVID-19 pandemic. METHOD: The cross-sectional study included 665 rural community-dwelling schizophrenia patients investigated during the COVID-19 pandemic. Social support was measured using the Social Support Rating Scale, and positive symptoms were assessed using the Positive Scale extracted from the Positive and Negative Syndrome Scale. Multiple linear regression was adopted to examine the association of social support with positive symptoms. RESULT: The scores for total social support, subjective support, objective support and the use of social support were 28.3 ± 5.9, 16.4 ± 5.2, 6.5 ± 1.4 and 5.4 ± 2.8, respectively. Total social support (ß = -0.08, 95%CI: -0.13 to -0.02, P < 0.01) and subjective social support (ß = -0.10, 95%CI: -0.16 to -0.04, P < 0.01) were significantly and negatively associated with the Positive Scale score after adjustment for confounders. Objective social support (ß = 0.11, 95%CI: -0.10 to 0.32, P = 0.31) and the use of social support (ß = -0.03, 95%CI: -0.14 to 0.07, P = 0.53) were not significantly associated with the Positive Scale score. CONCLUSION: The study confirmed the importance of social support, especially subjective support, provided to rural community-dwelling schizophrenia patients during the COVID-19 pandemic. This support should be addressed and strengthened for such patients in emergent events.

Self-propelled assembly of nanoparticles with self-catalytic regulation for tumour-specific imaging and therapy.

Targeted assembly of nanoparticles in biological systems holds great promise for disease-specific imaging and therapy. However, the current manipulation of nanoparticle dynamics is primarily limited to organic pericyclic reactions, which necessitate the introduction of synthetic functional groups as bioorthogonal handles on the nanoparticles, leading to complex and laborious design processes. Here, we report the synthesis of tyrosine (Tyr)-modified peptides-capped iodine (I) doped CuS nanoparticles (CuS-I@P1 NPs) as self-catalytic building blocks that undergo self-propelled assembly inside tumour cells via Tyr-Tyr condensation reactions catalyzed by the nanoparticles themselves. Upon cellular internalization, the CuS-I@P1 NPs undergo furin-guided condensation reactions, leading to the formation of CuS-I nanoparticle assemblies through dityrosine bond. The tumour-specific furin-instructed intracellular assembly of CuS-I NPs exhibits activatable dual-modal imaging capability and enhanced photothermal effect, enabling highly efficient imaging and therapy of tumours. The robust nanoparticle self-catalysis-regulated in situ assembly, facilitated by natural handles, offers the advantages of convenient fabrication, high reaction specificity, and biocompatibility, representing a generalizable strategy for target-specific activatable biomedical imaging and therapy.

The impact of patients' hostile attribution bias on aggression in doctor-patient interactions.

Background: Doctor-patient conflict is trending in social attention research. However, the existing literature rarely explores whether a patient's hostile attribution bias (HAB) in the doctor-patient interaction affects the aggression level against doctors. Objective: This study aimed to explore the relationship and mechanism between different types of HAB and aggression in patients. Method: In Study 1, 80 patients completed the word sentence association paradigm for hostility (WSAP-Hostility), and their explicit and implicit aggression levels were measured using the hot sauce paradigm and the single-category implicit association test (SC-IAT), respectively. In Study 2, 63 patients were randomly divided into an experimental (rejection) and a control group. Their state hostile attribution bias (SHAB) was activated through social rejection materials. They completed the SHAB questionnaire and anger expression inventory, and their explicit and implicit aggression levels were measured as in Study 1. Results: In both studies, results indicated that patients' trait and state HAB were significantly related to explicit aggression but not implicit aggression. Hostile interpretation positively predicted explicit aggression, whereas benign interpretation had a negative predictive effect on explicit aggression. Patients' anger played a mediating role between SHAB and explicit aggression. Conclusions: These findings suggest that patients' HAB affects explicit aggression toward doctors and anger plays a mediating role.

Sympathetic skin response for early detection of type 2 diabetic peripheral neuropathy and nephropathy.

BACKGROUND: Diabetic peripheral neuropathy (DPN) and diabetic nephropathy (DN) are common complications of type 2 diabetes mellitus (T2DM). Although nerve conduction studies (NCS) and sympathetic skin response (SSR) can detect DPN, the more sensitive method for early diagnosis remains unclear. Furthermore, whether DPN can be used as a predictor for diabetic nephropathy needs clarification. METHODS: We evaluated nerve conduction studies, sympathetic skin response, and the diabetic nephropathy indicator microalbuminuria (MAU) in 192 patients with type 2 diabetes mellitus and 50 healthy controls. RESULTS: Patients with type 2 diabetes mellitus showed a lower sensory nerve conduction velocity (SCV), sensory active nerve potential (SNAP), motor nerve conduction velocity (MCV), and compound motor action potential (CMAP) than the controls on NCS. Abnormal rates for nerve conduction studies and sympathetic skin response were 75.0% and 83.3%, respectively, in patients with type 2 diabetes mellitus. Interestingly, 54.2% of patients with normal nerve conduction studies had an abnormal sympathetic skin response. Moreover, we found a positive correlation between sympathetic skin response and microalbuminuria for the first time. The abnormal rate of microalbuminuria was 53.8%, lower than that of abnormal nerve conduction studies or sympathetic skin response patients. CONCLUSION: Sympathetic skin response is a more sensitive method than nerve conduction studies for the early diagnosis of diabetic peripheral neuropathy. Abnormal sympathetic skin response might serve as an indicator for early diabetic nephropathy. Additionally, diabetic peripheral neuropathy may occur earlier than diabetic nephropathy in the development of type 2 diabetes mellitus.

Pulsatile Gonadotropin-Releasing Hormone Therapy Is Associated With Better Spermatogenic Outcomes than Gonadotropin Therapy in Patients With Pituitary Stalk Interruption Syndrome.

OBJECTIVE: To compare the effects of combined gonadotropin and pulsatile gonadotropin-releasing hormone (GnRH) therapy on spermatogenesis in patients with pituitary stalk interruption syndrome (PSIS). METHODS: Male patients with PSIS (N = 119) were retrospectively studied. Patients received pulsatile GnRH therapy (N = 59) were divided into response and poor-response groups based on luteinizing hormone (LH) levels after 1-month treatment with a cutoff value of 1 or 2 IU/L. Participants with gonadotropin therapy were divided into human menopausal gonadotropin (hMG)/human chorionic gonadotropin (hCG) group (N = 60), and patients with pulsatile GnRH therapy were classified into GnRH group (N = 28) with treatment duration ≥6 months. RESULTS: The overall success rates of spermatogenesis for hMG/hCG and GnRH therapy were 51.67% (31/60) vs 33.90% (20/59), respectively. GnRH group required a shorter period to induce spermatogenesis (8 vs 15 months, P = .019). hMG/hCG group had higher median total testosterone than GnRH group [2.16, interquartile range(IQR) 1.06-4.89 vs 1.31, IQR 0.21-2.26 ng/mL, P = .004]. GnRH therapy had a beneficial effect on spermatogenesis compared to hMG/hCG therapy (hazard ratio 1.97, 95% confidence interval 1.08-3.57, P = .026). In patients with pulsatile GnRH therapy, compared with the poor-response group, the response group had a higher successful spermatogenesis rate (5.00% vs 48.72%, P = .002) and higher median basal total testosterone (0.00, IQR 0.00-0.03 vs 0.04, IQR 0.00-0.16 ng/mL, P = .026) with LH = 1 IU/L as the cutoff value after 1-month pulsatile GnRH therapy. CONCLUSIONS: Pulsatile GnRH therapy was superior to hMG/hCG therapy for spermatogenesis in patients with PSIS. Earlier spermatogenesis and higher concentrations of sperm could be obtained in the GnRH group if patients received therapy over 6 months.

Mixed hypogonadism: a neglected combined form of hypogonadism.

PURPOSE: Kallmann syndrome is a rare disease characterized by delayed puberty, infertility and anosmia. We report the clinical and genetic characteristics of three patients with Kallmann syndrome who presented with Klinefelter syndrome and defined this neglected combined form of hypogonadism as mixed hypogonadism. METHODS: Clinical data and examinations were obtained, including laboratory examination and magnetic resonance imagination (MRI) of the olfactory structures. Congenital hypogonadotropic hypogonadism (CHH) related genes were screened by next generation sequencing (NGS). RESULTS: Three patients with Kallmann syndrome were included. They had co-existence with Klinefelter syndrome and showed hypogonadotropic hypogonadism. Patient 1 was complicated with germinoma. CONCLUSION: Mixed hypogonadism was defined as hypogonadotropic hypogonadism in Klinefelter syndrome or primary testicular disease. Clinicians should be alert to mixed hypogonadism when spermatogenesis induction failed in patients with CHH or gonadotropin levels decrease in patients with Klinefelter syndrome.

Preparation of Novel Sea Cucumber Intestinal Peptides to Promote Tibial Fracture Healing in Mice by Inducing Differentiation of Hypertrophic Chondrocytes to the Osteoblast Lineage.

SCOPE: Hypertrophic chondrocytes have a decisive regulatory role in the process of fracture healing, and the fate of hypertrophic chondrocytes is not only apoptosis. However, the mechanism of sea cucumber (Stichopus japonicus) intestinal peptide (SCIP) on fracture promotion is still unclear. This study aims to investigate the effect of sea cucumber intestinal peptide on the differentiation fate of hypertrophic chondrocytes in a mouse tibial fracture model. METHODS AND RESULTS: Mice are subjected to open fractures of the right tibia to establish a tibial fracture model. The results exhibit that the SCIP intervention significantly promotes the mineralization of cartilage callus, decreases the expression of the hypertrophic chondrocyte marker Col X, and increases the expression of the osteoblast marker Col I. Mechanically, SCIP promotes tibial fracture healing by promoting histone acetylation and inhibiting histone methylation, thereby upregulating pluripotent transcription factors induced the differentiation of hypertrophic chondrocytes to the osteoblast lineage in a manner distinct from classical endochondral ossification. CONCLUSION: This study is the first to report that SCIP can promote tibial fracture healing in mice by inducing the differentiation of hypertrophic chondrocytes to the osteoblast lineage. SCIP may be considered raw material for developing nutraceuticals to promote fracture healing.

Impact of cognitive behavioral therapy on premature ejaculation patients: A prospective, randomized controlled trial protocol.

BACKGROUND: Premature ejaculation (PE) is one of the most common male sexual dysfunctions, with a prevalence of about 4%-39% in the Chinese population. Studies have shown that a variety of biological factors can lead to premature ejaculation, such as central nervous system disorders, hypersensitivity of the penis head, and psychological factors. Based on clinical experience, psychological counseling and education of patients and partners should be ranked as the first priority when treating PE. Cognitive behavioral therapy (CBT) addresses emotional, behavioral, and cognitive disorders by altering beliefs and actions. It has also been demonstrated to be clinically useful in treating a number of diseases. The purpose of this trial is to evaluate the efficacy of a mobile-based CBT intervention on patients with PE compared to conventional routine treatment. METHODS: This study is a prospective randomized controlled trial that will be conducted from May 2023 to Dec 2024 at ten hospitals, primarily including the First Affiliated Hospital of Sun Yat-sen University with an 8-week follow-up. The clinical trial central randomization system will be used to create and implement the specific randomization method. Baseline data of both groups will be measured and collected. The premature ejaculation diagnostic tool (PEDT) and the female sexual distress scale-revised for premature ejaculation (FSDS-R-PE) will be collected on the first day, 28±2 days, and 56±2 days during the intervention period, and the intravaginal ejaculatory latency time (IELT) will be measured in both groups. The Shapiro-Wilk test will be used for normality testing. Pearson correlation analysis will be used for correlation analysis. Differences between groups will be compared using analysis of variance or exact probability calculations. DISCUSSION: This study will investigate the effect of a mobile-based CBT intervention on patients with PE. TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR2300070581).

Mitigating cognitive impairment in aging mice: Exploring the therapeutic potential of ischelium.

To deeply explore the intervention effects of ischelium on the cognitive memory decline in naturally aging mice and its potential mechanisms, we randomly divided mice into four groups: young control group (C), elderly group (M), ischelium low-dose group (L), and ischelium high-dose group (H). The experiment lasted for 12 weeks. We employed the Y-maze test, open field test, and conditioned fear test to evaluate the memory functions of each group. Through HE staining and electron microscopy, we observed morphological changes in the mouse hippocampus. RT-PCR was used to detect changes in the expression of factors related to cognitive function in the hippocampus of elderly mice. We analyzed the changes in the Nrf2/HO-1 pathway and the inflammatory factors IL-1ß and TNF-α using elisa. Additionally, we examined the enzymatic activities of SOD, CAT, GSH-Px, and MDA in the hippocampus and analyzed the compositional changes of gut microbiota in mice using 16S technology. Our results indicate that ischelium effectively ameliorates cognitive impairments in elderly mice.

Gradient Correction for White-Box Adversarial Attacks.

Deep neural networks (DNNs) play key roles in various artificial intelligence applications such as image classification and object recognition. However, a growing number of studies have shown that there exist adversarial examples in DNNs, which are almost imperceptibly different from the original samples but can greatly change the output of DNNs. Recently, many white-box attack algorithms have been proposed, and most of the algorithms concentrate on how to make the best use of gradients per iteration to improve adversarial performance. In this article, we focus on the properties of the widely used activation function, rectified linear unit (ReLU), and find that there exist two phenomena (i.e., wrong blocking and over transmission) misguiding the calculation of gradients for ReLU during backpropagation. Both issues enlarge the difference between the predicted changes of the loss function from gradients and corresponding actual changes and misguide the optimized direction, which results in larger perturbations. Therefore, we propose a universal gradient correction adversarial example generation method, called ADV-ReLU, to enhance the performance of gradient-based white-box attack algorithms such as fast gradient signed method (FGSM), iterative FGSM (I-FGSM), momentum I-FGSM (MI-FGSM), and variance tuning MI-FGSM (VMI-FGSM). Through backpropagation, our approach calculates the gradient of the loss function with respect to the network input, maps the values to scores, and selects a part of them to update the misguided gradients. Comprehensive experimental results on ImageNet and CIFAR10 demonstrate that our ADV-ReLU can be easily integrated into many state-of-the-art gradient-based white-box attack algorithms, as well as transferred to black-box attacks, to further decrease perturbations measured in the l2 -norm.

Seroprevalence and potential risk factors of brucellosis in sheep from America, Africa and Asia regions: A systematic review and meta-analysis.

BACKGROUND: Brucellosis, a neglected and global zoonotic disease, infect a variety of mammals, among which sheep are one of the main hosts. This disease results in huge economic losses and is a widespread concern around the world. RESULT: Based on the selection criteria, 40 articles from 2010 to 2021 of five databases (CNKI, Wanfang, VIP, PubMed and Science Direct) reported in America, Africa and Asia were included. The data showed that during this period, the overall seroprevalence of sheep brucellosis on these three continents was 6.2%. At the regional level, sheep brucellosis had the highest seroprevalence (8.5%) in Africa and the lowest seroprevalence (1.9%) in the Americas. With regard to the age of the sheep, the seroprevalence was significantly higher in adult sheep (15.5%) than in lambs (8.6%). Further, the seroprevalence was significantly higher in sheep that had abortion (44.3%) than in pregnant (13.0%) and non-pregnant sheep (9.5%). With regard to herd size, herds with >20 sheep (35.4%) had a significantly higher seroprevalence than herds with <20 sheep (16.8%). In terms of farming and grazing mode, free-range rearing (8.4%) was associated with a significantly higher seroprevalence than intensive farming (2.8%), and mixed grazing (37.0%) was associated with a significantly higher seroprevalence than single grazing (5.7%). CONCLUSION: Sheep brucellosis is widely distributed in sheep-rearing regions of America, Africa and Asia, and sheep are susceptible to brucellosis by themselves or from other infectious sources. Therefore, timely monitoring of ovine brucellosis and improving farming and grazing patterns are critical to reducing the prevalence of brucellosis.

Correlation Between Glycemic Variability and Diabetic Complications: A Narrative Review.

Diabetes mellitus is a metabolic disorder with a complex etiology in which glycemic dynamics are disturbed and the body is unable to maintain the process of glucose homeostasis through the pancreas. Persistent symptoms of high blood glucose or low blood glucose may lead to diabetic complications, such as neuropathy, nephropathy, retinopathy, and cardiovascular diseases. Glycemic variability which can represent the presence of excessive glycemic excursions is an indicator for evaluating glucose homoeostasis. Limiting glycemic variability has gradually become an emerging therapeutic target in improve diabetes metabolism and prevent associated complications. This article reviews the progress of research on the various quantifiable parameters of glycemic variability and their relationships with vascular lesions and mechanisms.