Search

Herein, a novel green low-carbon paper-based food-packaging composite was synthesised: curcumin microcapsule-polyvinyl alcohol/beeswax/chitosan (CURM-PVA/BW/CS) composite papers." Keywords: Shanghai; People's Republic of China; Asia; Food and Farming; Alkanes; Aromatic Hydrocarbons; Catechols; Curcumin; Diarylheptanoids; Food Packaging; Hydrocarbons; Organic Chemicals EN Shanghai People's Republic of China Asia Food and Farming Alkanes Aromatic Hydrocarbons Catechols Curcumin Diarylheptanoids Food Packaging Hydrocarbons Organic Chemicals 57 57 1 04/10/23 20230413 NES 230413 2023 APR 13 (NewsRx) -- By a News Reporter-Staff News Editor at Food Weekly News -- New research on Food and Farming is the subject of a report. [Extracted from the article]

Furthermore, the thermal-assisted PS-MS method exhibited good linearities (R-2, 0.9903-0.9997) within the range from 10-100 to 1000 ng mL(-1) for the direct quantitation of anti-obesity drugs in urine samples with an internal standard." By incorporating a heat source and optimizing the spray solvent and paper substrate, this technique demonstrates reduced matrix effect and higher sensitivity compared to traditional PS-MS methodology for direct analysis of anti-obesity drugs in urine samples. [Extracted from the article]

Researchers from Shanghai Jiao Tong University have conducted a study on pancreatic cancer, specifically focusing on the role of N6-methyladenosine (m6A) modification in the pathogenesis of pancreatic ductal adenocarcinoma (PDAC). The study found that the expression of methyltransferase-like 16 (METTL16), a critical m6A methyltransferase, is significantly diminished in PDAC. METTL16 was found to regulate the expression of DVL2, a protein involved in Wnt/beta-catenin signaling, through m6A modification. The study suggests that METTL16 could be a potential therapeutic target for PDAC treatment. [Extracted from the article]

A study conducted by the University of Shanghai for Science and Technology in China explores the use of biodegradable and recyclable paper coatings as an alternative to traditional plastic packaging materials. The researchers developed a coating based on chitosan/gelatin/microbeads composite aerogel, which not only possesses antimicrobial and preservation properties but also enhances the mechanical strength, hydrophobicity, and thermal insulation of cardboard. The coating was found to improve the tensile strength of the cardboard, increase its contact angle, and decrease its thermal conductivity coefficient. This eco-friendly substitute for plastic coatings on cardboard addresses the shortcomings of paper-based materials, ensuring food quality and safety. [Extracted from the article]

A study conducted by Shanghai University in China explored the effects of different reading styles on the mental health and quality of life of college students. The study found that paper text reading and audio reading were effective in reducing anxiety levels and improving sleep quality, while electronic text reading and video reading were less effective. Additionally, the study showed that positive psychology literature reading interventions significantly improved college students' quality of life scores. These findings provide suggestions for college students to choose appropriate reading styles and demonstrate the effectiveness of positive psychology reading on mental health. The research has important implications for promoting mental health and improving the quality of life among college students. [Extracted from the article]

A report from Shanghai Jiao Tong University in China discusses the use of nanoparticles to enhance the sensitivity of lateral flow immunoassays (LFIA), a paper-based detection technology used in clinical diagnosis, environmental monitoring, and food safety analysis. The review explores the correlation between the properties of nanoparticles and LFIA performance, and highlights the challenges and opportunities in this field. The research was supported by the National Natural Science Foundation of China and the National Key Research and Development Program of China. The study concludes by examining nanoparticle-assisted amplification strategies for LFIA. [Extracted from the article]

A study conducted by researchers at Chongqing University of Technology in China explores the contagion effect of overconfidence in business groups. The study analyzes data from 2007-2019 on Shanghai and Shenzhen A-share group holding listed companies. The findings suggest that if one member of a business group displays overconfidence, it is likely to influence other members to be overconfident in the following year. The research also identifies various factors that may influence this effect. The study contributes to the understanding of overconfidence as a widespread psychological phenomenon and provides empirical evidence for its prevalence. [Extracted from the article]

A new report from researchers at Central South University explores the impact of globalization on human settlement and its effects on community resilience. The study focuses on the contradictions of community development under globalization and analyzes the mismatch between residents' health activities and the environment. Using data from downtown Shanghai, the researchers construct a comprehensive community resilience index model and identify the dominant factors affecting the resilience level of community human settlement. The findings contribute to the development of global human settlement evaluation systems and provide valuable insights for building healthy communities worldwide. [Extracted from the article]

A study conducted by the Shanghai University of Engineering Science explores the use of silk fibroin (SF) as a promising protein for 3D printing inks in regenerative medicine. The researchers discuss different cross-linking strategies for SF to improve the qualities of printing, while acknowledging that each strategy has its advantages and disadvantages. The study aims to support the development of SF-based 3D printing inks to meet future needs in the field. The research has been peer-reviewed and provides valuable insights into the potential of SF in regenerative medicine. [Extracted from the article]

A study conducted at Shanghai International Studies University in China has developed an expert-involved explainable artificial intelligence (XAI) framework for recognizing essential tremor (ET) actions. The framework combines the interpretability of machine learning algorithms with human empirical judgment to improve model performance and provide decision-making suggestions for medical practitioners. The researchers collected sensing data from 20 ET patients and 5 healthy subjects using a smartphone monitoring system and used various methods to analyze and interpret the data. The proposed XAI framework aims to assist in early diagnosis and healthcare for ET. [Extracted from the article]

A report from the University of Shanghai for Science and Technology discusses the use of biochar as a strategy to address agro-climatic challenges in agriculture. The report reviews recent developments in biochar technology, focusing on the economic implications and environmental benefits of different biochar preparation methods. The study finds that biochar applications in agriculture can sequester carbon and reduce emissions, particularly in terms of mitigating the carbon footprint of farmland. However, there are potential risks associated with the composition of the feedstock and the mismatch between biochar properties and application scenarios. The report concludes that this study provides a valuable framework for understanding the environmental implications of biochar preparation, application, and life cycle assessments. [Extracted from the article]

Shanghai, People's Republic of China, Asia, Biotechnology, Drug Delivery, Drug Delivery Systems, Drugs and Therapies, Transdermal, Transdermal Delivery Keywords: Shanghai; People's Republic of China; Asia; Biotechnology; Drug Delivery; Drug Delivery Systems; Drugs and Therapies; Transdermal; Transdermal Delivery EN Shanghai People's Republic of China Asia Biotechnology Drug Delivery Drug Delivery Systems Drugs and Therapies Transdermal Transdermal Delivery 152 152 1 08/07/23 20230810 NES 230810 2023 AUG 10 (NewsRx) -- By a News Reporter-Staff News Editor at Blood Weekly -- Investigators publish new report on Drugs and Therapies - Drug Delivery Systems. This paper focuses on the research of stimulus -responsive polymer microneedles at home and abroad in the past ten years, and focuses on the evolution of polymer microneedles, the types of internal and external environmental stimulus response and its response structure-activity mechanism. [Extracted from the article]

A study conducted by researchers at the China State Institute of Pharmaceutical Industry in Shanghai, China, explores the use of lipid nanoparticles (LNPs) as drug carriers for targeted therapy of hepatic disorders. The liver is susceptible to various diseases, and current treatments, such as liver transplantation, have limitations. Nucleic acid therapeutics, which regulate relevant genes, offer a promising approach to treating hepatic disorders. LNPs, which protect nucleic acids from degradation and deliver them to cells, are seen as a significant advancement in gene therapies. The study provides a comprehensive review of LNPs' structure, composition, and applications in the treatment of hepatic disorders, as well as insights into future prospects and challenges. [Extracted from the article]

A recent report from Shanghai Jiao Tong University in China discusses the use of soft robots in cardiac surgery. Soft robots are known for their ability to interact safely with organs and have lower risks of damage compared to rigid robots. The researchers propose an adaptive iterative learning controller to track the irregular motion of the beating heart during surgery. The algorithm has been proven to improve control precision and stability compared to traditional controllers. The research provides valuable insights into the potential of soft robots in surgical applications. [Extracted from the article]

A study conducted at Shanghai University in China explores the use of transfer learning to decode motor imagery tasks in stroke patients. The researchers propose a multi-loss fusion convolutional neural network (MF-CNN) to create an optimizable source model, and then use source optimized transfer learning (SOTL) to improve the target model's performance. The study finds that the model trained on healthy subjects achieves higher classification accuracy in unilateral upper limb motor imagery tasks compared to deep learning and traditional transfer learning methods. This research provides support for the study of transfer learning and stroke rehabilitation training. [Extracted from the article]

A recent research report from Shanghai Maritime University in China discusses the development of an improved model for detecting colorectal lesions using white-light endoscopy. The researchers propose an improved YOLOv7 model called CSS-YOLOv7, which incorporates features such as the CNeB module, the SPD-Conv module, and the SIOU loss function to enhance lesion classification detection. The experimental results show promising outcomes, with a recall rate of 92.3% and mAP@.5 reaching 95.9%. This research contributes to the advancement of automatic detection of colorectal lesions. [Extracted from the article]

According to the news editors, the research concluded: "In this paper, we will briefly discuss the pathophysiological role of IL-17A in ischemic stroke risk factors, acute and chronic inflammatory responses, and the potential therapeutic value of targeting IL-17A." This research has been peer-reviewed. Keywords: Shanghai; People's Republic of China; Asia; Cells; Cerebrovascular Diseases and Conditions; Health and Medicine; Neurons; Risk and Prevention; Stroke EN Shanghai People's Republic of China Asia Cells Cerebrovascular Diseases and Conditions Health and Medicine Neurons Risk and Prevention Stroke 882 882 1 05/02/23 20230505 NES 230505 2023 MAY 5 (NewsRx) -- By a News Reporter-Staff News Editor at Genomics & Genetics Weekly -- Investigators discuss new findings in Cerebrovascular Diseases and Conditions - Stroke. [Extracted from the article]

In this paper, we propose a graph transformer geometric learning framework to model the multimodal brain network constructed by structural MRI (sMRI) and diffusion tensor imaging (DTI) for brain age estimation. Keywords: Shanghai; People's Republic of China; Asia; Alzheimer Disease; Biomarkers; Diagnostics and Screening; Health and Medicine; Neurodegenerative Diseases and Conditions EN Shanghai People's Republic of China Asia Alzheimer Disease Biomarkers Diagnostics and Screening Health and Medicine Neurodegenerative Diseases and Conditions 121 121 1 04/03/23 20230407 NES 230407 2023 APR 8 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Imaging Week -- Researchers detail new data in Neurodegenerative Diseases and Conditions - Alzheimer Disease. [Extracted from the article]

A recent study conducted by researchers at Fudan University in Shanghai, China, examined the transmission risk of the SARS-CoV-2 virus during dental procedures. The study simulated routine dental operations on a dental manikin within a digital dental unit, evaluating parameters such as cooling conditions and handpiece speeds. The researchers found that aerosol splashing created a localized pollution area up to 60 cm, with higher contamination risks within a 30 cm radius. They concluded that dentists should use the minimal viable speed of a dental handpiece with limited cooling water to minimize the spread of aerosol and virus, and comprehensive personal protective equipment is necessary for dental providers and assistants. [Extracted from the article]

A recent report from the University of Shanghai for Science and Technology discusses the formation, detection, resistance mechanism, and control technology of Listeria monocytogenes biofilm in the food industry. Listeria monocytogenes is a foodborne pathogen that causes listeriosis, a severe and fatal condition. The report highlights the importance of biofilms in protecting L. monocytogenes from environmental stresses and their persistence in processing equipment. It also provides an analysis of biofilm resistance mechanisms and discusses different techniques for controlling L. monocytogenes biofilm in the food industry. The research has been peer-reviewed and offers valuable insights for effective control technology in the food industry. [Extracted from the article]

A recent study conducted by researchers at East China University of Political Science and Law explores the effects of visibility affordance on users' intention to engage in cloud fitness, a popular form of indoor exercise for young people in China. The study examines the relationship between visibility affordance, psychological variables, and the intention to exercise with fitness influencers. The findings suggest that visibility affordance positively influences the intention to exercise with fitness influencers, and this relationship is mediated by the sense of social presence and immersion. The study contributes to the understanding of exercise behavior and health communication, providing practical implications for short video platforms, influencers, and individuals promoting healthier behaviors. [Extracted from the article]

A recent study conducted at the University of Shanghai for Science and Technology in Shanghai, People's Republic of China, has developed a lightweight U-Net model for denoising and noise localization of electrocardiogram (ECG) signals. The model acts as a denoising autoencoder, removing noise from ECG signals and identifying the locations of unacceptable noise. The proposed method achieved high accuracy in denoising and noise localization, improving ECG interpretation and potentially leading to better diagnosis and treatment of cardiovascular diseases. The research was supported by the National Natural Science Foundation of China. [Extracted from the article]

Researchers from East China University of Science and Technology have developed a new method for classifying upper-limb movements using mechanomyography (MMG), a low-frequency signal emitted during muscle contraction. The method, called CPSO-KELM, combines kernel extreme learning machine (KELM) with chaotic particle swarm optimization (CPSO) to improve the accuracy of movement pattern recognition. The researchers found that CPSO-KELM outperformed other common classifiers in recognizing upper-limb movements, with an overall recognition rate of 97.1%. The study also showed that CPSO had faster convergence and smaller training error compared to genetic algorithm (GA) and particle swarm optimization (PSO). [Extracted from the article]

Keywords: Shanghai; People's Republic of China; Asia; Big Data; Information Technology; Health and Medicine; Social Behavior EN Shanghai People's Republic of China Asia Big Data Information Technology Health and Medicine Social Behavior 222 222 1 04/24/23 20230424 NES 230424 2023 APR 24 (NewsRx) -- By a News Reporter-Staff News Editor at Mental Health Weekly Digest -- Data detailed on Information Technology - Big Data have been presented. Shanghai, People's Republic of China, Asia, Big Data, Information Technology, Health and Medicine, Social Behavior. [Extracted from the article]

Keywords: Shanghai; People's Republic of China; Asia; CDC and FDA; Epidemiology; Health and Medicine; Pandemic EN Shanghai People's Republic of China Asia CDC and FDA Epidemiology Health and Medicine Pandemic 1204 1204 1 04/10/23 20230414 NES 230414 2023 APR 16 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Letter on the CDC & FDA -- Research findings on CDC and FDA are discussed in a new report. Shanghai, People's Republic of China, Asia, CDC and FDA, Epidemiology, Health and Medicine, Pandemic. [Extracted from the article]

Asia, COVID-19, China, Coronavirus, RNA Viruses, SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2, Viral, Virology Keywords: Asia; COVID-19; China; Coronavirus; RNA Viruses; SARS-CoV-2; Severe Acute Respiratory Syndrome Coronavirus 2; Viral; Virology EN Asia COVID-19 China Coronavirus RNA Viruses SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2 Viral Virology 252 252 1 03/27/23 20230327 NES 230327 2023 APR 2 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Weekly -- Investigators publish new report on COVID-19. [Extracted from the article]

Shanghai, People's Republic of China, Asia, End-to-end Network, Eye Diseases and Conditions, Health and Medicine, Macular Degeneration, Macular Edema, Networks, Retinal Degeneration, Retinal Diseases and Conditions Keywords: Shanghai; People's Republic of China; Asia; End-to-end Network; Eye Diseases and Conditions; Health and Medicine; Macular Degeneration; Macular Edema; Networks; Retinal Degeneration; Retinal Diseases and Conditions EN Shanghai People's Republic of China Asia End-to-end Network Eye Diseases and Conditions Health and Medicine Macular Degeneration Macular Edema Networks Retinal Degeneration Retinal Diseases and Conditions 147 147 1 03/24/23 20230306 NES 230306 2023 MAR 6 (NewsRx) -- By a News Reporter-Staff News Editor at Diabetes Week -- Current study results on Eye Diseases and Conditions - Macular Edema have been published. [Extracted from the article]

Asia, Shanghai, Psychological, Health and Medicine, People's Republic of China, Mental Health Diseases and Conditions Keywords: Asia; Shanghai; Psychological; Health and Medicine; People's Republic of China; Mental Health Diseases and Conditions EN Asia Shanghai Psychological Health and Medicine People's Republic of China Mental Health Diseases and Conditions New research on Mental Health Diseases and Conditions is the subject of a report. [Extracted from the article]

A study conducted by researchers at Shanghai University of Medicine and Health Sciences explores the use of nanocarriers loaded with Danshensu for treating ischemic stroke. Ischemic stroke is a complex health condition that can cause ischemia and necrosis of brain tissue. The researchers propose the targeted self-assembly of a three-dimensional nanoparticle network containing Danshensu to reduce oxidative stress and glial overactivation. The nanoparticles bind to damaged blood-brain barriers and accumulate in the damaged brain, releasing Danshensu to scavenge reactive oxygen species and inhibit astrocyte activation. This approach shows promise in improving the inflammatory brain microenvironment and reducing neuronal apoptosis. [Extracted from the article]

A study conducted by researchers at Shanghai Maritime University focuses on the management of infectious healthcare waste during health crises, such as epidemics or natural disasters. The study proposes a resilient waste management network using a mixed-integer linear programming model and a scenario-oriented approach to account for uncertainty. The model suggests that establishing new collection centers is an effective strategy to enhance the resilience of the network. The research emphasizes the importance of resilience in infectious healthcare waste management networks during health crises. [Extracted from the article]

Researchers from Shanghai University have developed a multi-task joint learning network (MTJLN) for the diagnosis and clinical score prediction of Alzheimer's disease. The network utilizes multi-modal data and incomplete clinical scores to predict the pathological stage and clinical score of subjects. By dividing brain images into local patches and using an image patch pruning algorithm, the network effectively predicts the disease progression. The proposed method shows promise in assessing pathological stages and estimating disease progression in Alzheimer's disease. [Extracted from the article]

A research study conducted at Shanghai Maritime University in China has explored the use of hypergraph neural networks (HGNNs) in classifying migraines. The study aimed to find objective imaging biomarkers for migraines, as they are currently lacking. The researchers constructed hypergraphs from functional connectivity matrices based on preprocessed rs-fMRI data and designed three network layers to update node features, score and filter nodes, and use resulting vectors for classification. The experimental results showed that the proposed model outperformed other baseline methods in classification performance and exhibited good generalization. The study also identified key brain regions that could potentially serve as biomarkers for migraine diagnosis. [Extracted from the article]

A report from the University of Shanghai for Science and Technology discusses research on the dynamics of hepatitis B transmission. The study uses a stochastic epidemiological model with vaccination and two mean-reverting Ornstein-Uhlenbeck processes to analyze the transmission of hepatitis B. The researchers derive conditions for the extinction of hepatitis B and determine the presence of a stationary distribution. The findings are validated through numerical simulations using data from the World Health Organization. The research concludes that the simulations support the analytical approach. [Extracted from the article]

A study conducted at Tongji University in Shanghai, China, has developed a nanorod-integrated microfluidic chip for the isolation of tumor-derived extracellular vesicles (EVs). These EVs are potential early diagnostic markers for cancer. The chip utilizes periodic silicon nanorod arrays to enhance the binding probability of antibodies to EVs and improve isolation efficiency. The chip was tested with plasma samples from cancer patients and showed good diagnostic performance in detecting cancer. This research has been peer-reviewed and published in Advanced Materials Technologies. [Extracted from the article]

A recent report from the Sinopec Shanghai Research Institute of Petrochemical Technology in Shanghai, China, explores the multilevel chirality in chiral nickel molybdate films (CNMFs). The researchers discovered three hierarchical levels of chirality in CNMFs, ranging from the atomic to the micron scale. These findings contribute to the understanding of chiral self-assembly structural types and offer valuable insights for the analysis of hierarchical chiral crystals. The research was supported by the National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities. [Extracted from the article]

Researchers from Donghua University in Shanghai, China have developed a control scheme for an arm musculoskeletal system that incorporates cerebellar and emotional learning models. The study found that the proposed scheme has advantages such as fast learning convergence, simplified synaptic adaptation, and strong anti-disturbance ability. The research provides a theoretical reference for the application of biomimetic musculoskeletal systems. The study has been peer-reviewed and published in The European Physical Journal Special Topics. [Extracted from the article]

A recent study conducted by researchers at Fudan University in Shanghai, China, has developed an in vitro model for embryo implantation, which is crucial for understanding the early stages of pregnancy and for drug development. The researchers used mouse blastocysts and human endometrial adenocarcinoma cells to create the model, and they found that high concentrations of 17-beta-estradiol (E2) reduced embryo adhesion, while the addition of progesterone restored the adhesion rate. This model provides a simple and efficient platform for evaluating and screening molecules involved in the adhesion process during implantation. The research has been peer-reviewed and published in the Journal of Visualized Experiments. [Extracted from the article]

A recent report from Shanghai University discusses new research findings on mental health diseases and conditions, specifically focusing on adolescents. The World Health Organization survey reveals that the global incidence of adolescent mental illness is 28%, with a disease detection rate of only 24.6%. The research proposes a gaze estimation method called Young-gaze, which uses appearance-based methods with deep learning to predict the point of gaze using a monocular camera. The researchers collected images from 107 adolescents aged 10-14 years to create the Young-Gaze dataset and developed a Multi-scale Feature Fusion-based Calibration Network (MFFC-Net) for gaze estimation. The MFFC-Net achieved better performance on the Young-Gaze dataset and other public datasets. This research has been peer-reviewed and provides valuable insights into improving mental health diagnosis and treatment for adolescents. [Extracted from the article]

A study conducted by researchers at Shanghai Jiao Tong University in China explores the use of deep learning methods based on cardiac ultrasound videos to assist in the diagnosis of atrial septal defects (ASD) in children. The researchers used four standard views in pediatric cardiac ultrasound to identify ASDs and developed a model that achieved high accuracy in detecting ASDs. The proposed model, which is based on multiple instances learning, outperformed previous networks and clinical doctors in terms of accuracy. This research has been peer-reviewed and published in the Journal of Imaging Informatics in Medicine. [Extracted from the article]

A study conducted by researchers at ShanghaiTech University in Shanghai, China, explores the potential of noncontact trapping of micro-particles using an automated acoustic system. The system incorporates stereo vision to provide visual feedback and utilizes a spatiotemporal multiplexing control strategy to generate multiple trappings. The research demonstrates that stable trapping of multiple particles can be achieved, improving noncontact manipulation in robotics. The study was supported by the National Natural Science Foundation of China and has been peer-reviewed. [Extracted from the article]

A recent study conducted by researchers at Shanghai University in China has explored the relationship between serine/glycine metabolism and the proliferation of gastric cancer cells. The study found that the metabolism of serine and glycine greatly influences the ability of tumor cells to proliferate. The researchers constructed a dynamic model of the metabolic network in gastric cancer cells and observed that when extracellular serine is available, the model preferentially consumes serine. Additionally, an increase in the conversion rate of glycine to serine led to an upregulation of certain fluxes in the model. These findings provide new insights into the role of serine/glycine metabolism in gastric cancer and may contribute to the development of targeted cancer therapies. [Extracted from the article]

A recent study conducted by researchers at Shanghai University of Engineering Science explores the use of selective laser melting (SLM) in metal printing as an additive manufacturing technique. The study focuses on the simulation of AlSi10Mg, an extensively researched aluminum alloy used in various industries. The researchers discuss the challenges and trends in numerical simulations for SLM formed AlSi10Mg, including heat and mass transfer processes, microstructure evolution, and mechanical properties. The study concludes by summarizing the application of data-driven approaches in numerical simulations. This research provides valuable insights into the use of SLM and numerical simulations in the field of biotechnology. [Extracted from the article]

Researchers at the Institute of Informatics in Shanghai, China have developed a new framework to assess the performance of global smart cities for sustainable development in a post-pandemic era. The framework focuses on the principles of 'humanity-technology-sustainability' and aims to address challenges related to feasibility, interoperability, and flexibility in smart city assessments. The research assesses twenty globally renowned cities for smart city development each year and publishes the results on the United Nations Public Administration Network website. The assessments aim to draw attention to factors that contribute to advancing smart cities, identify benchmark cities, and assist decision-makers in prioritizing future smart city development initiatives. [Extracted from the article]

A recent study conducted by researchers at Tongji University in Shanghai, China, explored the correlation between the expression of a specific microRNA, miR-497-5p, and clinicopathological characteristics and prognosis in patients with breast cancer. The study collected cancer tissues and normal adjacent tissues from 140 patients with breast cancer and analyzed the expression of miR-497-5p. The results showed that low expression of miR-497-5p in cancer tissues was associated with larger tumor size, advanced clinical stage, and lymph node metastasis. Furthermore, patients with low miR-497-5p expression had decreased survival rates and miR-497-5p was identified as an independent risk factor for death in breast cancer patients. This research provides valuable insights into the role of miR-497-5p in breast cancer prognosis. [Extracted from the article]

A report from Shanghai Jiao Tong University in China discusses the use of machine learning methods to improve the diagnosis and outcome prediction of gastric cancer. The researchers propose a multimodal learning method called GaCaMML, which combines whole slide pathological images (WSIs) with gene expression data. The method shows improved prediction accuracy for survival, pathological stage classification, and lymph node classification compared to single-modal learning methods. The study highlights the potential of multimodal learning in gastric cancer prediction tasks and provides insights into the association between macroscopic pathological phenotypes and microscopic molecular features. [Extracted from the article]

A report from Fudan University in Shanghai, China discusses the challenges and advancements in understanding chirality transfer in biomolecules. The researchers studied the coassembly of glycopeptide molecules and found that the involvement of hydrogen bonds enabled nanoscale chirality transfer. However, the transfer was inhibited at the micrometer scale, leading to an achiral transfer. The researchers concluded that this work is a promising step towards understanding and replicating naturally occurring chirality transfer events. [Extracted from the article]

A report from East China Normal University discusses the use of artificial intelligence (AI) methods for screening and diagnosing autism spectrum disorder (ASD). The researchers reviewed 43 articles and identified five categories of recognition markers for ASD, including gaze behaviors, facial expressions, motor movements, voice features, and task performance. The accuracy of AI screening ranged from 62.13% to 100%, with sensitivity ranging from 69.67% to 100% and specificity ranging from 54% to 100%. The researchers concluded that while AI recognition shows promise for identifying children with ASD, further improvements are needed to enhance the screening model and improve accuracy. [Extracted from the article]