Review
Materials Science, Multidisciplinary
Olga Lebedeva, Larisa Fishgoit, Andrey Knyazev, Dmitry Kultin, Leonid Kustov
Summary: This article reviews the possibilities and future perspectives of electrochemical deposition of bimetallic compositions and alloys containing Fe, Co, Ni, Cr, W, and Mo. The synthesis of two- and three-component materials, as well as compositionally more complex alloys, is discussed. Electrodeposition from solutions containing metal ions and metalloids is a promising approach due to its speed, cost-effectiveness, and ability to control the composition of the final product. The correlation between the magnetic and catalytic properties of iron-triad metal alloys is considered, which can lead to a deeper understanding of the properties of electrodeposited alloys. The advantages and perspectives of electrochemical deposition from ionic liquids and deep eutectic solvents are also briefly discussed.
Review
Engineering, Marine
Manikandan Muthu, Suraj Shiv Charan Pushparaj, Judy Gopal, Iyyakkannu Sivanesan
Summary: Chitosan, a natural biodegradable polymer extracted from marine shell wastes, has been widely used in biomedical applications due to its exceptional qualities. This review focuses on the biomedical highlights of chitosan-based microspheres (MS), particularly its antimicrobial properties against bacteria, fungi, and viruses. The gaps in its usage for antimicrobial investigations are addressed and future recommendations and expansion opportunities are suggested.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Surgery
Esther S. Tseng, Jessica L. Weaver, Ayodele T. Sangosanya, Rondi B. Gelbard, Matthew J. Martin, Lily Tung, Ariel P. Santos, Maureen McCunn, Stephanie Bonne, Bellal Joseph, Tanya L. Zakrison
Summary: This study aimed to examine the diversity, equity, and inclusion landscape in academic trauma surgery and the EAST organization. The survey results showed that women and surgeons of color are underrepresented as EAST members and leaders.
Article
Engineering, Civil
Temirlan Kurbanov, Marek Cuchy, Jiri Vokrinek
Summary: The shortest path problem is widely used in different fields, but becomes more complex when multiple objective criteria need to be considered. Existing methods for accelerating multicriteria shortest path search focus mostly on one-to-one search and heuristics pruning, while overlooking the one-to-many version. This paper proposes a novel algorithm combination that achieves fast one-to-many multicriteria shortest path search, utilizing a preprocessing algorithm and a modified label-setting algorithm. The proposed algorithm not only maintains solution optimality, but also incorporates heuristics and can handle a higher number of criteria. Experimental results demonstrate that the proposed approach outperforms existing techniques in terms of speed, scalability, and memory requirements reduction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Physical
Srijib Das, Aniruddha Kundu, Tapas Kuila, Naresh Chandra Murmu
Summary: Metal-air batteries, especially rechargeable zinc-air batteries (ZABs), have attracted extensive research attention as a promising sustainable energy technology due to their environmental friendliness, low manufacturing cost, and high theoretical specific energy density. However, the sluggish kinetics of oxygen-involved reactions hinder the real-time application of ZABs. Developing novel design strategies for effective bifunctional electrocatalysts is crucial to overcome this hurdle and promote the commercialization of ZABs.
ENERGY STORAGE MATERIALS
(2023)
Article
Computer Science, Artificial Intelligence
Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
Summary: In this study, we collected search log data and GPS log data to predict whether users will go to the searched place using a deep learning model. Experimental results showed that our framework performed well in multiple real-world search scenarios.
Article
Multidisciplinary Sciences
Stephan Fischer, Jesse Gillis
Summary: Analysis utilizing high-quality data systematically researched the replicability of markers for 85 neuronal cell types; Combining multiple datasets is necessary due to dataset-specific noise for obtaining robust differentially expressed genes; Meta-analytic markers offer optimal downstream performance and provide replicable marker lists for the 85 BICCN cell types.
Review
Surgery
Nadir Noureldin Abdella Bahta, Jacob Rosenberg, Siv Fonnes
Summary: This scoping review aimed to provide an overview of all diagnostic tools for diagnosing appendicitis and their reported accuracy. We identified 82 diagnostic tools, with most tools relying on symptoms and physical examinations. The majority of diagnostic tools required a medical doctor/surgeon with access to laboratory values. The accuracy across the diagnostic tools was high.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Article
Geochemistry & Geophysics
Zhangfeng Ma, Jihong Liu, Xiaojie Liu, Cheng Zhou, Jia Hu, Yan Cui, Shuhong Qin, Teng Huang, Zhen Li
Summary: In this study, a new algorithm is proposed to overcome the limitations of existing phase unwrapping error correction methods, by integrating decorrelation phase correction, triplet phase closure (TPC) test, and integer linear programming (ILP). The validity of the method is demonstrated using synthetic data and real data from the Central San Andreas Fault creeping section.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Astronomy & Astrophysics
Marlin B. Schaefer, Alexander H. Nitz
Summary: This study explores the use of machine learning to improve the detection of gravitational waves from binary black hole mergers. The researchers construct a two-detector search algorithm using neural networks trained on data from a single detector. They find that applying the networks individually to the data from the detectors and searching for time coincidences is more effective than using simple two-detector networks.
Review
Biochemistry & Molecular Biology
Wing Yip Tam, Xia Wang, Andy S. K. Cheng, Kwok-Kuen Cheung
Summary: The cerebellum, responsible for motor coordination and balance, also plays a role in non-motor functions like cognition, speech, and language comprehension. Maldevelopment and dysfunction of the cerebellum can lead to various issues, making cell-specific markers for cerebellar neurons vital for understanding interactions between cell types.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Integrative & Complementary Medicine
Lijie Wu, Jinku Li, Lili Ping, Xiaoli Zhang, Lina Zhai, Yanmin Li, Ruimin Zhang
Summary: This study explored the diagnostic value of inflammatory markers and cytokines in neonatal sepsis. The results showed that neonatal sepsis was associated with fluctuating levels of WBC, N%, PCT, CRP, IL-27, IL-6, IL-10, and TNF-alpha at different time points. Therefore, the joint detection of these markers provides a new pathway for the early diagnosis of neonatal sepsis.
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2022)
Editorial Material
Multidisciplinary Sciences
Virginia Gewin, McKenzie Skiles
Summary: Snow hydrologist McKenzie Skiles skis in rural areas of the United States each spring to study the impact of dust on water resources.
Review
Infectious Diseases
Rakesh P. Suseela, Mohd Shannawaz
Summary: More than half of TB patients in India seek care from the private sector, but the quality of care is suboptimal. The National TB Elimination Program in India has made progress in engaging the private sector for TB care, but there is still room for improvement. Efforts have been made through education, regulation, providing cost-free TB services, incentives, and partnership schemes. However, strategies have focused more on purchasing services rather than creating sustainable partnerships, and there is a lack of strategies to engage informal healthcare providers and chemists. An integrated private sector engagement policy is needed to ensure standards of TB care for all citizens in India.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Computer Science, Information Systems
Jiajun Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang, Chengyu Hu
Summary: Counterpoising the trade-off between convergence and diversity in many-objective optimization is a challenging task. The proposed HPEA algorithm effectively balances convergence and diversity through a three-stage search process, achieving competitive performance on various types of many-objective problems.
INFORMATION SCIENCES
(2021)