Article
Urban Studies
Abiodun K. Oyetunji, Benjamin I. Oluleye, Michael A. Olukolajo, Daniel W. M. Chan
Summary: This research explores the benefits of sustainable green housing delivery and reveals a high level of consensus between private investors and academia. The findings provide a credible roadmap for promoting sustainable housing and can guide government, clients, policymakers, and practitioners in achieving a balanced and sustainable environment.
Article
Business
Bikash Koli Dey, Mitali Sarkar, Kripasindhu Chaudhuri, Biswajit Sarkar
Summary: This study constructs an advanced dual-channel supply chain model for a single product with two players. Customers can order online or offline, while retailers only use offline mode to obtain the product from the manufacturer. Retailers offer free transportation service for a certain quantity of orders to optimize profit and satisfy customers. The study also employs an uncertain optimization technique to optimize the total profit of the supply chain and the decision-making variable.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Business
Dietrich Silber, Arvid O. I. Hoffmann, Alex Belli
Summary: A maximizing decision-making style is generally associated with lower individual well-being, but in the financial domain, it is actually positively associated with individuals' financial well-being. These findings provide guidance for financial service providers and policymakers.
PSYCHOLOGY & MARKETING
(2023)
Article
Automation & Control Systems
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
Summary: This paper proposes a method of reasoning in neural networks using functional priors and matching the prior distributions with Gaussian processes. Experimental evidence shows that this approach improves performance significantly compared to other priors and approximate Bayesian deep learning methods.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Review
Oncology
Iulia Minciuna, Laurens A. van Kleef, Horia Stefanescu, Bogdan Procopet
Summary: Intermittent fasting has the potential to reduce the risk of liver disease and hepatocellular carcinoma, especially among non-alcoholic steatohepatitis patients. However, cirrhotic patients may be more vulnerable to malnutrition and liver-related adverse events. Additionally, intermittent fasting can improve response and tolerance to treatment.
Article
Pathology
Maha Guindi
Summary: The article aims to review fibrosis staging systems, reversibility of fibrosis, histologic pattern of fibrosis regression, and recently proposed staging systems that address the nuanced fibrosis information needed for clinical management. Liver fibrosis plays a crucial role in the prognosis of most chronic liver diseases, and the knowledge of reversibility and patterns of fibrosis regression poses challenges in staging. The heterogeneity of fibrosis in congestive liver disease is a growing concern, particularly in determining transplant suitability. Pathologists should be familiar with these concepts and proposed staging systems to apply them in daily practice.
Editorial Material
Cell Biology
Neville E. Sanjana
Summary: While science may appear competitive at times, it actually relies on open sharing and collaboration. Open science not only advances research, but also boosts the careers of researchers.
NATURE REVIEWS MOLECULAR CELL BIOLOGY
(2021)
Article
Clinical Neurology
Alannah Hahn, Annelie C. Goehler, Christiane Hermann, Alexander Winkler
Summary: The study investigated the effect of an open-label placebo treatment on perceived sadness and autonomic activity. The results showed that the open-label placebo group reported attenuated increase in sadness and had lower sadness levels compared to the control group. Heart rate decreased during mood inductions.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Geochemistry & Geophysics
Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu
Summary: This paper proposes a new FSRSSC baseline method, which achieves state-of-the-art performance by learning two feature representations using two self-supervised methods on the meta-training set and fusing them into one. Training a good feature extractor may be more efficient than complex meta-learning algorithms for FSRSSC.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Linfeng Zhang, Kaisheng Ma
Summary: Data augmentation, a technique of applying image transformations to datasets, is a powerful method in visual representation learning. This paper proposes a novel approach that breaks the trade-off between diversity and difficulty in data augmentation through multi-task learning. By formulating model learning on augmented and original images as auxiliary and primary tasks respectively, the negative influence of hard augmentation can be alleviated, allowing neural networks to learn valuable semantic information even with random augmentation policies.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Review
Environmental Sciences
Linjia Shi, Xingde Du, Haohao Liu, Xinghai Chen, Ya Ma, Rui Wang, Zhihui Tian, Shiyu Zhang, Hongxiang Guo, Huizhen Zhang
Summary: Research on the hepatotoxicity induced by MCs has made significant progress, including confirming symptoms of liver damage, mechanisms of liver cancer, cell proliferation pathways, etc. Topics covered include cell apoptosis, metabolic imbalance, and the combined toxicity of MCs with other toxins.
ENVIRONMENTAL RESEARCH
(2021)
Review
Food Science & Technology
Inaki Diez-Ozaeta, Oihana Juaristi Astiazaran
Summary: In recent years, the demand for minimally processed foods has increased, leading to the popularity of fermented foods as a beneficial nutritional and functional strategy. A review of the latest studies on fermented foods highlights their potential health benefits, the bioactive compounds responsible for these properties, and future research trends. It emphasizes the importance of clinical evidence to ensure that fermented foods can significantly improve well-being.
FOOD RESEARCH INTERNATIONAL
(2022)
Review
Gastroenterology & Hepatology
Shiva Rangwani, Devarshi R. Ardeshna, Khalid Mumtaz, Sean G. Kelly, Samuel Y. Han, Somashekar G. Krishna
Summary: Endoscopic ultrasound guided liver biopsy (EUS-LB) is a minimally-invasive alternative for diagnosing liver parenchymal diseases. Compared to traditional liver biopsy, it has comparable diagnostic yield, better specimen acquisition, and shorter recovery time.
WORLD JOURNAL OF GASTROENTEROLOGY
(2022)
Article
Multidisciplinary Sciences
Lisa H. Sideris
Summary: This essay explores the complexities of wonder and critiques the privileging of scientific wonder over natural wonder presented by Richard Dawkins and E. O. Wilson.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2021)
Review
Nutrition & Dietetics
Piper Sandel, Lawrence Ma, Helen Wang, Eric A. A. Pasman
Summary: As obesity becomes more prevalent, the cases of pediatric nonalcoholic fatty liver disease (NAFLD) and its complications, such as progressive liver failure, in young adults will continue to increase. Lifestyle changes through dietary modifications and exercise are currently the primary treatments, but there is a lack of large pediatric-specific trials to support specific interventions. Various dietary modifications and supplements have been suggested and studied, but further research is needed to provide effective and sustainable dietary recommendations for reversing the progression of NAFLD in children.
