Article
Multidisciplinary Sciences
Ayaka Matsuoka, Toru Miike, Hirotaka Yamazaki, Masahiro Higuchi, Moe Komaki, Kota Shinada, Kento Nakayama, Ryota Sakurai, Miho Asahi, Kunimasa Yoshitake, Shogo Narumi, Mayuko Koba, Takashi Sugioka, Yuichiro Sakamoto
Summary: Education and clinical experience are necessary for conducting appropriate medical interviews. The use of a medical interview support application has been found to improve the quality of interviews conducted by residents. The application not only increases the rate of appropriate medical interviews, but also enhances the number of questions asked and the duration of the interviews.
Article
Engineering, Electrical & Electronic
Kanishk Chawla, Prabodh Bajpai, Rajib Das
Summary: Resilience in power distribution systems is crucial to quickly absorb, adapt and recover from catastrophic events like natural disasters. Despite being considered highly reliable, underground power distribution networks are still vulnerable to factors such as location and maintenance, impacting the system's resiliency assessment. Quick and accurate decision-making by network operators during and after disasters has a significant impact on system restoration and supplying critical loads.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Environmental Sciences
Priyanka Panchal, Poonam Meena, Satya Pal Nehra
Summary: This study focuses on the synthesis and analysis of Ag nanoparticles and nanocomposites mediated by Azadirachta indica plant fruit extract for their photocatalytic, antibacterial, and dye degradation activities. The green-synthesized Ag/AgCl nanocomposites showed enhanced photocatalytic and antibacterial activities, indicating potential applications in various sectors. It may become a hot research topic in environmental applications in the near future.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Chemical
Oscar T. Vegas Nino, Fernando Martinez Alzamora, Velitchko G. Tzatchkov
Summary: This paper introduces two new methodologies for water supply system decentralization through distribution network sectorization, implemented in a freely available software tool online. The results show that these methods outperform other proposed methodologies in the literature for decentralizing water supply systems.
Article
Environmental Sciences
P. Muthukumaran, P. Suresh Babu, S. Shyamalagowri, J. Aravind, M. Kamaraj, M. Govarthanan
Summary: The exploding global population and its impact on the environment have led to detrimental effects, making environmental mitigation the prime challenge of this century. Nanotechnology, specifically using biopolymer composites, offers unlimited potential for handling xenobiotics and environmental clean-up. This review extensively examines the development of biopolymer nanoparticles (Bp-NPs) and biopolymer nanomaterials (Bp-NMs) from various biomolecules, emphasizing their applications in hazardous xenobiotics handling and pollution management.
Article
Biophysics
Yiqian Kong, Zongyi Li, Lili Zhang, Juncheng Song, Qi Liu, Yinghua Zhu, Na Li, Lili Song, Xiangyang Li
Summary: This study developed a dual mode aptasensor and an intelligent sensor detection platform for rapid and accurate on-site detection of aflatoxin B1 in food. The sensor utilized special nanomaterials and a fluorescent probe to achieve fluorescence/colorimetric detection without the need for material and reagent replacement. The collected signals can be analyzed and modeled on a developed artificial neural network platform, enabling visual intelligent sensing.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Naina Said, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha
Summary: This paper proposes and evaluates an active learning-based framework for disaster analysis, showing promising results in analyzing images from social media outlets. It demonstrates the potential use of active learning techniques for disaster analysis in images without the need for manual annotation.
SIGNAL IMAGE AND VIDEO PROCESSING
(2021)
Article
Environmental Sciences
Laura Uusitalo, Thorsten Blenckner, Riikka Puntila-Dodd, Annaliina Skytta, Susanna Jernberg, Rudi Voss, Barbel Muller-Karulis, Maciej T. Tomczak, Christian Moellmann, Heikki Peltonen
Summary: This paper demonstrates the use of a Bayesian network-based decision support model to summarize research and model projections for the Baltic Sea, integrating disciplines such as climatology, biogeochemistry, marine ecology, fisheries ecology, and economics. The model allows for evaluation of uncertainties, precautionary management, and simultaneous consideration of environmental and economic goals, providing a more holistic view of the management problem.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Ecology
Daniel T. Blumstein, Loren D. Hayes, Noa Pinter-Wollman
Summary: Social behavior is crucial in understanding the impact of human-induced environmental changes on animal population resilience. Social structures of animal groups, which often have demographic consequences for group members, can be directly influenced or indirectly modified by environmental drivers through social interactions, group composition, or group size. We have developed a framework to study these demographic consequences and estimating the strength of direct and indirect pathways will provide insights for understanding and potentially managing the effects of human-induced rapid environmental changes.
TRENDS IN ECOLOGY & EVOLUTION
(2023)
Article
Engineering, Marine
Nikolaos P. Ventikos, Alexandros Koimtzoglou, Konstantinos Louzis, Nikolaos Themelis, Marios-Anestis Koimtzoglou
Summary: In case of a ship emergency situation, the master and bridge command team have to assess risk and make crucial decisions under time pressure. The use of a decision-support tool can improve their performance and the way ships are evacuated.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Maria Gita, Constantin-Bala Zamfirescu
Summary: This study analyzes the possibility of using dynamic Bayesian networks to predict assembly steps in the manufacturing industry and develops an assembly assistance training system to support human workers. The experimental results show that dynamic Bayesian networks have high accuracy in predicting new patterns, but at the expense of prediction rate.
APPLIED SCIENCES-BASEL
(2022)
Review
Environmental Sciences
Abdelmonaim Azzouz, Lamia Hejji, Vanish Kumar, Ki-Hyun Kim
Summary: Diverse aptasensors have been developed through the combination of aptamers with nanomaterials for the timely and efficient detection of metals in environmental and biological matrices. These sensors have multiple advantages such as heightened sensitivity, facile production, uncomplicated operation, exceptional specificity, enhanced stability, low immunogenicity, and cost-effectiveness.
ENVIRONMENTAL RESEARCH
(2023)
Article
Nutrition & Dietetics
Maelys Granal, Lydia Slimani, Nans Florens, Florence Sens, Caroline Pelletier, Romain Pszczolinski, Catherine Casiez, Emilie Kalbacher, Anne Jolivot, Laurence Dubourg, Sandrine Lemoine, Celine Pasian, Michel Ducher, Jean Pierre Fauvel
Summary: This study aimed to develop a reliable method to estimate dietary potassium intake in CKD patients in order to improve prevention of cardiovascular complications. A clinical tool was developed using 24-hour urinary potassium excretion as a surrogate of dietary potassium intake. The prediction tool showed an accuracy of 74% in classifying potassium diet.
Article
Ecology
Rachel L. Gunn, Ian R. Hartley, Adam C. Algar, Petri T. Niemela, Sally A. Keith
Summary: This study found that animals exhibit strong behavioral responses to human-induced rapid environmental change (HIREC), with significant differences in the magnitude and direction of these responses depending on the specific form of HIREC. Exploration showed stronger responses compared to other behaviors, with climate change inducing the most pronounced behavioral changes. Model heterogeneities were primarily due to study design and sample variations, with phylogeny also playing a significant role in bird models. Recommendations include balanced representation of lab and field studies, consideration of context-dependent factors, standardization of methods, and acknowledging individual behavioral differences.
Review
Multidisciplinary Sciences
Rongqi Zhai, Ge Chen, Guangyang Liu, Xiaodong Huang, XiaoMin Xu, Lingyun Li, Yanguo Zhang, Jing Wang, Maojun Jin, Donghui Xu, A. M. Abd El-Aty
Summary: This review summarizes the principles and strategies of gold (Au) nanomaterials in enzyme inhibition methods, including colorimetric and fluorometric detection, as well as electrochemical sensing system. The advantages of Au nanomaterial-based enzyme inhibition methods compared with conventional enzyme inhibition methods are illustrated. The review also provides information on detection limits, linear range, and future research directions.
JOURNAL OF ADVANCED RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Laetitia Bardet, Herve Roussel, Stefano Saroglia, Masoud Akbari, David Munoz-Rojas, Carmen Jimenez, Aurore Denneulin, Daniel Bellet
Summary: The thermal instability of silver nanowires leads to increased electrical resistance in AgNW networks. Understanding the relationship between structural and electrical properties of AgNW networks is crucial for their integration as transparent electrodes in flexible optoelectronics. In situ X-ray diffraction measurements were used to study the crystallographic evolution of Ag-specific Bragg peaks during thermal ramping, revealing differences in thermal and structural transitions between bare and SnO2-coated AgNW networks.
Article
Chemistry, Multidisciplinary
Nathalia Cancino-Fuentes, Arnau Manasanch, Joana Covelo, Alex Suarez-Perez, Enrique Fernandez, Stratis Matsoukis, Christoph Guger, Xavi Illa, Anton Guimera-Brunet, Maria V. Sanchez-Vives
Summary: This study provides a comprehensive characterization of graphene-based solution-gated field-effect transistors (gSGFETs) for brain recordings, highlighting their potential clinical applications.
Article
Chemistry, Multidisciplinary
Sikandar Aftab, Hailiang Liu, Dhanasekaran Vikraman, Sajjad Hussain, Jungwon Kang, Abdullah A. Al-Kahtani
Summary: This study examines the effects of hybrid nanoparticles made of NiO@rGO and NiO@CNT on the active layers of polymer solar cells and X-ray photodetectors. The findings show that these hybrid nanoparticles can enhance the charge carrier capacities and exciton dissociation properties of the active layers. Among the tested configurations, the NiO@CNT device demonstrates superior performance in converting sunlight into electricity, and achieves the best sensitivity for X-ray detection.
Article
Chemistry, Multidisciplinary
Hyo Jung Shin, Seung Gyu Choi, Fengrui Qu, Min-Hee Yi, Choong-Hyun Lee, Sang Ryong Kim, Hyeong-Geug Kim, Jaewon Beom, Yoonyoung Yi, Do Kyung Kim, Eun-Hye Joe, Hee-Jung Song, Yonghyun Kim, Dong Woon Kim
Summary: This study investigates the role of SOX9 in reactive astrocytes following ischemic brain damage using a PLGA nanoparticle plasmid delivery system. The results demonstrate that PLGA nanoparticles can reduce ischemia-induced neurological deficits and infarct volume, providing a potential opportunity for stroke treatment.
Article
Chemistry, Multidisciplinary
Anurag Chaudhury, Koushik Debnath, Nikhil R. Jana, Jaydeep K. Basu
Summary: The study investigates the interaction between nanoparticles and cell membranes, and identifies key parameters, including charge, crowding, and membrane fluidity, that determine the adsorbed concentration and unbinding transition of nanoparticles.
Article
Chemistry, Multidisciplinary
Sina Sadeghi, Fazel Bateni, Taekhoon Kim, Dae Yong Son, Jeffrey A. Bennett, Negin Orouji, Venkat S. Punati, Christine Stark, Teagan D. Cerra, Rami Awad, Fernando Delgado-Licona, Jinge Xu, Nikolai Mukhin, Hannah Dickerson, Kristofer G. Reyes, Milad Abolhasani
Summary: In this study, an autonomous approach for the development of lead-free metal halide perovskite nanocrystals is presented, which integrates a modular microfluidic platform with machine learning-assisted synthesis modeling. This approach enables rapid and optimized synthesis of copper-based lead-free nanocrystals.
Article
Chemistry, Multidisciplinary
Zahir Abbas, Nissar Hussain, Surender Kumar, Shaikh M. Mobin
Summary: The rational construction of free-standing and flexible electrodes for electrochemical energy storage devices is an emerging research focus. In this study, a redox-active metal-organic framework (MOF) was prepared on carbon nanofibers using an in situ approach, resulting in a flexible electrode with high redox-active behavior and unique properties such as high flexibility and lightweight. The prepared electrode showed excellent cyclic retention and rate capability in supercapacitor applications. Additionally, it could be used as a freestanding electrode in flexible devices at different bending angles.
Article
Chemistry, Multidisciplinary
Lishan Zhang, Xiaoting Zhang, Hui Ran, Ze Chen, Yicheng Ye, Jiamiao Jiang, Ziwei Hu, Miral Azechi, Fei Peng, Hao Tian, Zhili Xu, Yingfeng Tu
Summary: Photodynamic therapy (PDT) is a promising local treatment modality in cancer therapy, but its therapeutic efficacy is restricted by ineffective delivery of photosensitizers and tumor hypoxia. In this study, a phototactic Chlorella-based near-infrared (NIR) driven green affording-oxygen microrobot system was developed for enhanced PDT. The system exhibited desirable phototaxis and continuous oxygen generation, leading to the inhibition of tumor growth in mice. This study demonstrates the potential of using a light-driven green affording-oxygen microrobot to enhance photodynamic therapy.
Article
Chemistry, Multidisciplinary
Yujin Li, Jing Xu, Xinqi Luo, Futing Wang, Zhong Dong, Ke-Jing Huang, Chengjie Hu, Mengyi Hou, Ren Cai
Summary: In this study, hollow heterostructured materials were constructed using an innovative template-engaged method as cathodes for zinc-ion batteries. The materials exhibited fast Zn2+ transport channels, improved electrical conductivity, and controlled volume expansion during cycling. The designed structure allowed for an admirable reversible capacity and high coulombic efficiency.
Article
Chemistry, Multidisciplinary
Paritosh Mahato, Shashi Shekhar, Rahul Yadav, Saptarshi Mukherjee
Summary: This study comprehensively elucidates the role of the core and electrostatic surface of metal nanoclusters in catalytic reduction reactions. The electrostatic surface dramatically modulates the reactivity of metal nanoclusters.
Article
Chemistry, Multidisciplinary
Pei Liu, Mengdi Liang, Zhengwei Liu, Haiyu Long, Han Cheng, Jiahe Su, Zhongbiao Tan, Xuewen He, Min Sun, Xiangqian Li, Shuai He
Summary: This study demonstrates a simple and environmentally-friendly method for the synthesis of zinc oxide nanozymes (ZnO NZs) using wasted hop extract (WHE). The WHE-ZnO NZs exhibit exceptional peroxidase-like activity and serve as effective catalysts for the oxidation of 3,3,5,5-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide (H2O2). In addition, a straightforward colorimetric technique for detecting both H2O2 and glucose was developed using the WHE-ZnO NZs as peroxidase-like catalysts.
Article
Chemistry, Multidisciplinary
Hyunkyu Oh, Young Jun Lee, Eun Ji Kim, Jinseok Park, Hee-Eun Kim, Hyunsoo Lee, Hyunjoo Lee, Bumjoon J. Kim
Summary: Mesoporous carbon particles have unique structural properties that make them suitable as support materials for catalytic applications. This study investigates the impact of channel nanostructures on the catalytic activity of porous carbon particles (PCPs) by fabricating PCPs with controlled channel exposure on the carbon surface. The results show that PCPs with highly open channel nanostructures exhibit significantly higher catalytic activity compared to those with closed channel nanostructures.
Article
Chemistry, Multidisciplinary
Yunjie Lu, Zhaohui Li, Zewei Li, Shihao Zhou, Ning Zhang, Jianming Zhang, Lu Zong
Summary: A tough, long-lasting adhesive and highly conductive nanocomposite hydrogel (PACPH) was fabricated via the synergy of interfacial entanglement and adhesion group densification. PACPH possesses excellent mechanical properties, interfacial adhesion strength, and conductivity, making it a promising material for long-term monitoring of human activities and electrocardiogram signals.
Article
Chemistry, Multidisciplinary
Zichao Wei, Audrey Vandergriff, Chung-Hao Liu, Maham Liaqat, Mu-Ping Nieh, Yu Lei, Jie He
Summary: We have developed a simple method to prepare polymer-grafted plasmonic metal nanoparticles with pH-responsive surface-enhanced Raman scattering. By using pH-responsive polymers as ligands, the aggregation of nanoparticles can be controlled, leading to enhanced SERS. The pH-responsive polymer-grafted nanoparticles show high reproducibility and sensitivity in solution, providing a novel approach for SERS without the need for sample pre-concentration.
Article
Chemistry, Multidisciplinary
Melis Ozge Alas Colak, Ahmet Gungor, Merve Buldu Akturk, Emre Erdem, Rukan Genc
Summary: This research investigates the effect of functionalizing carbon dots with hydroxyl polymers on their performance as electrode materials in a supercapacitor. The results show that the functionalized carbon dots exhibit excellent electrochemical performance and improved stability.