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Recent studies have increasingly utilized gradient metrics to investigate the spatial transitions of brain organization, enabling the conversion of macroscale brain features into low-dimensional manifold representations. However, it remains unclear whether alterations exist in the cortical morphometric similarity (MS) network gradient in patients with schizophrenia (SCZ). This study aims to examine potential differences in the principal MS gradient between individuals with SCZ and healthy controls and to explore how these differences relate to transcriptional profiles and clinical phenomenology.
Methods
MS network was constructed in this study, and its gradient of the network was computed in 203 patients with SCZ and 201 healthy controls, who shared the same demographics in terms of age and gender. To examine irregularities in the MS network gradient, between-group comparisons were carried out, and partial least squares regression analysis was used to study the relationships between the MS network gradient-based variations in SCZ, and gene expression patterns and clinical phenotype.
Results
In contrast to healthy controls, the principal MS gradient of patients with SCZ was primarily significantly lower in sensorimotor areas, and higher in more areas. In addition, the aberrant gradient pattern was spatially linked with the genes enriched for neurobiologically significant pathways and preferential expression in various brain regions and cortical layers. Furthermore, there were strong positive connections between the principal MS gradient and the symptomatologic score in SCZ.
Conclusions
These findings showed changes in the principal MS network gradient in SCZ and offered potential molecular explanations for the structural changes underpinning SCZ.
Glaciers play a crucial role in the Asian Water Tower, underscoring the necessity of accurately assessing their mass balance and ice volume to evaluate their significance as sustainable freshwater resources. In this study, we analyzed ground-penetrating radar (GPR) measurements from a 2020 survey of the Xiao Dongkemadi Glacier (XDG) to determine ice thickness, and we extended the glacier’s volume-change record to 2020 by employing multi-source remote-sensing data. Our findings show that the GPR-derived mean ice thickness of XDG in 2020 was 54.78 ± 3.69 m, corresponding to an ice volume of 0.0811 ± 0.0056 km3. From 1969 to 2020, the geodetic mass balance was −0.19 ± 0.02 m w.e. a−1, and the glacier experienced area and ice volume losses of 16.38 ± 4.66% and 31.01 ± 4.59%, respectively. The long-term mass-balance reconstruction reveals weak fluctuations occurred from 1967 to 1993 and that overall mass losses have occurred since 1994. This ongoing shrinkage and ice loss are mainly associated with the temperature increases in the warm season since the 1960s. If the climate trend across the central Tibetan Plateau follows to the SSP585 scenario, then XDG is at risk of disappearing by the end of the century.
With the increase in egg production rate and the coming of peak laying period, some metabolic disorders usually emerge in layers. The current study was conducted to compare the physiological difference between the early laying stage (around 30% laying rate) and peak laying stage (more than 95% laying rate) of laying hens based on hepatic transcriptome, serum metabolomics and caecal microbiota. The results showed that the egg weight and yolk weight were significantly higher in peak laying hens. Further, serum malondialdehyde and total bile acid concentrations were higher, but total anti-oxidant capacity, total bilirubin and low-density lipoprotein cholesterol (LDL-c) concentrations were significantly lower in peak laying hens. Hepatic transcriptome analysis identified 540 up-regulated and 269 down-regulated genes. Consistently, fatty acid biosynthesis, PPAR and insulin signalling pathways were significantly enriched. Subsequently, the result of serum metabolomics identified 74 up- and 77 down-regulated metabolites. Among down-regulated metabolites, hesperetin, apigenin and betaine related to anti-oxidant function were down-regulated. In addition, western blotting result showed BCL2 and p53 proteins expressions were decreased in the peak laying period, whereas hepatic CEBPα protein level was increased. On the other hand, gut microbiota analysis revealed that Chao index was decreased in peak laying hens. And the LEfSe analysis showed the dominant microflora including Ruminococcus, Oxalobacter, Paracoccus and so on was found in peak laying hens. These findings indicated that the hepatic lipid metabolism of peak laying hens is enhanced and the decline in anti-oxidant performance of hens also implies its importance during the early stage of egg production.
This systematic review aims to synthesise findings from randomised, controlled trials and assess the efficacy and safety of radiofrequency ablation in treating allergic rhinitis.
Methods
A thorough search was conducted across PubMed, the Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure, WanFang, Chinese Scientific Journal, and Chinese Biomedical Literature databases from their inception until October 2023. The primary outcome measure was the total effective rate, with secondary outcomes including adverse events.
Results
This review included 15 randomised, controlled trials involving 1430 patients. The pooled analysis revealed a statistically significant effect on the total effective rate (odds ratio = 3.27, 95 per cent confidence interval = 2.37 to ~4.51). However, no statistical significance was observed in adverse events (odds ratio = 1.18, 95 per cent confidence interval = 0.67 to ~2.08).
Conclusions
Based on the analytical results, radiofrequency ablation emerges as an efficacious and safe treatment modality for allergic rhinitis. Given the constraints posed by a limited sample size, it is imperative that forthcoming clinical trials adhere rigorously to the gold standard of randomised, controlled trials for the purpose of corroborating these conclusions.
Web3 is a new frontier of internet architecture emphasizing decentralization and user control. This text for MBA students and industry professionals explores key Web3 concepts, starting from foundational principles and moving to advanced topics like blockchain, smart contracts, tokenomics, and DeFi. The book takes a clear, practical approach to demystify the tech behind NFTs and DAOs as well as the complex regulatory landscape. It confronts challenges of blockchain scalability, a barrier to mainstream adoption of this transformative technology, and examines smart contracts and the growing ecosystem leveraging their potential. The book also explains the nuances of tokenomics, a vital element underpinning Web3's new economic model. This book is ideal for readers seeking to stay on top of emerging trends in the digital economy.
Chapter 7 highlights key concepts in Decentralized Finance (DeFi) and compares it to traditional finance. It discusses major DeFi applications such as decentralized exchanges, lending/borrowing platforms, derivatives, prediction markets, and stablecoins. DeFi offers advantages, including open access, transparency, programmability, and composability. It enables peer-to-peer financial transactions without intermediaries, unlocking financial inclusion, efficiency gains, and innovation. However, risks such as smart contract vulnerabilities, price volatility, regulatory uncertainty, and lack of accountability persist. As DeFi matures, enhanced governance, security audits, regulation, and insurance will be vital to address these challenges. DeFi is poised to reshape finance if balanced with prudence. Important metrics to track growth include total value locked, trading volumes, active users, and loans outstanding. Research tools such as Dune Analytics, DeFi Llama, and DeFi Pulse provide data-driven insights. Overall, DeFi represents a profoundly transformative blockchain application, but responsible evolution is key. The chapter compares DeFi to traditional finance and analyzes major applications, benefits, risks, and metrics in this emerging field.
Chapter 1 provides an overview of the concepts and definitions inherent to Web3. It presents a deep exploration into the phenomenon of "Convergence of Convergence," a term coined to denote the convergence of various dimensions within Web3, such as technology, data, user interactions, business models, identity, and organizational structures. The chapter also offers a comparative study of Web3 from different perspectives – tracing its evolution in the Internet era, analyzing its implications for user experience, evaluating its regulatory aspects, and understanding its scalability. Each of these aspects is explored in a detailed, standalone section, allowing readers to comprehend the multifaceted nature of Web3. The overarching aim of this chapter is to foster a comprehensive understanding of Web3, delineating its significance as a major shift in the Internet paradigm and its potential for creating more decentralized, user-empowered digital ecosystems.
Chapter 11 envisions the future potential of Web3 technologies in reshaping the web. It covers key areas such as generative AI, DeFi, mobile apps, cloud infrastructure, and the Metaverse. In DeFi, the focus is on scalability, interoperability, regenerative finance, decentralized identity, and its integration with social networks. The convergence of generative AI and Web3 is examined through case studies and applications, while mobile apps are explored as nodes for consensus algorithms, providing decentralized and secure networks. The impact of Web3 on cloud infrastructure includes decentralized storage, blockchain-based authentication and authorization, decentralized computing resources, and token-based incentives. Lastly, the chapter delves into the Metaverse, discussing decentralized ownership, token economies, identity and privacy considerations, interoperability, and decentralized governance. Through these explorations, the chapter highlights the transformative potential of Web3 in fostering decentralization, inclusivity, and innovation in the digital era.
Chapter 10 explores the evolving regulatory landscape surrounding Web3 technologies. It highlights the need for coordinated and adaptive regulations to foster innovation while managing potential risks. The chapter examines the impact of major crypto company collapses in 2022 on regulatory frameworks and emphasizes the importance of proactive measures to protect investors and mitigate risks. It delves into the regulatory landscapes in the United States, the European Union, China, and Web3-friendly countries such as the United Arab Emirates, Singapore, Germany, and Switzerland. The chapter covers key initiatives, including the Executive Order Ensuring Responsible Development of Digital Assets and the Responsible Financial Innovation Act in the United States, as well as stablecoin regulations and regulatory challenges related to decentralized autonomous organizations (DAOs). It also explores the intersection of the General Data Protection Regulation (GDPR) and Web3, emphasizing the challenges of privacy and compliance. Overall, the chapter provides a comprehensive overview of regulatory considerations in Web3, addressing innovation, consumer protection, financial stability, and privacy concerns. It emphasizes the importance of regulatory coordination and adaptation to promote innovation while safeguarding against potential risks.
Chapter 2 leverages first principles thinking to reveal the seismic shift enabled by Web3’s self-sovereign Internet and decentralized economic architecture. Opportunities emerge in infrastructure, access, efficiency, accountability, and empowerment. On-chain data sharing and self-sovereign identity allow efficient bootstrapping in an open ecosystem. Decentralized finance increases financial access, while blockchain ID could facilitate inclusive programs such as universal basic income. By automating manual workflows, smart contracts and traceability boost efficiency. Immutable blockchain ledgers enhance transparency via innovations such as triple-entry accounting. The creator economy shifts power by enabling direct content monetization and ownership through NFT marketplaces, decentralized social platforms, and games. Despite adoption hurdles, Web3 fundamentally reshapes incentives around user control over identity, data, and value creation in a decentralized economy. Capturing the full potential requires reimagining economic systems, not just optimizing current models. This epochal shift promises to unlock tremendous value by aligning technology with empowerment in an open, user-centric Internet.