Article
Energy & Fuels
Simon Ascher, William Sloan, Ian Watson, Siming You
Summary: This study develops a machine learning method to predict the performance of gasification technology, reducing uncertainty in decision-making. The use of an artificial neural network allows for accurate predictions and broad applicability.
Article
Immunology
Zhuoqi Li, Zongxiu Yin, Zupeng Luan, Chi Zhang, Yuanyuan Wang, Kai Zhang, Feng Chen, Zhensong Yang, Yuan Tian
Summary: This study constructed a risk score model for lung adenocarcinoma (LUAD) based on novel biomarkers related to the coagulation process and tumor-associated macrophage (TAM) infiltration. The model showed excellent predictive value for patient prognosis and immunotherapeutic clinical outcomes.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Environmental Sciences
Wenhao Tang, Hua Li, Lianyue Fei, Bigui Wei, Tianhong Zhou, Hongwei Zhang
Summary: This paper reviews the research progress in the adoption of coagulation technology for microplastics removal in recent years, compares the removal efficiency of coagulation in different water treatment plants, and analyzes the mechanisms and influencing factors of microplastics removal during coagulation. It is found that combined coagulation techniques have better removal efficiency and can effectively reduce microplastics pollution while meeting strict discharge standards.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori
Summary: Recent advancements in machine learning achieved by Deep Neural Networks (DNNs) have led to significant improvements in accuracy; however, the high number of parameters and computations associated with DNNs result in high memory usage and energy consumption. To address this issue, various compression techniques have been employed, with quantization being a promising approach. This article presents a comprehensive survey of quantization concepts and methods, focusing on image classification. It covers clustering-based quantization methods, the use of scale factor parameter, training of a quantized DNN, replacement of floating-point operations with bitwise operations, sensitivity of different layers in quantization, evaluation metrics, and benchmarks. The article aims to familiarize readers with quantization concepts, introduce important works in DNN quantization, and highlight challenges for future research in this field.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2023)
Article
Immunology
Astrid Hagelkruys, Gerald Wirnsberger, Johannes Stadlmann, Miriam Wohner, Marion Horrer, Bojan Vilagos, Gustav Jonsson, Melanie Kogler, Luigi Tortola, Maria Novatchkova, Peter Bonelt, David Hoffmann, Rubina Koglgruber, Ulrike Steffen, Georg Schett, Meinrad Busslinger, Andreas Bergthaler, Christoph Klein, Josef M. Penninger
Summary: Loss of Jagn1 leads to alterations in ER and reduced antibody production in B cells, resulting in compromised humoral immune response in mice.
JOURNAL OF EXPERIMENTAL MEDICINE
(2021)
Review
Computer Science, Interdisciplinary Applications
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, Ankur Changela
Summary: This paper explores the application of deep learning-based approaches in hypertension detection. By analyzing a large amount of physiological and clinical data, the study finds that deep learning models have the potential to assist in hypertension identification. A diverse dataset is utilized to build predictive models, and techniques such as pre-processing and feature selection are applied to improve the accuracy and performance of the models. The results show that the deep learning models outperform conventional diagnostic methods in hypertension detection, and integrating these models into healthcare systems could help classify high-risk individuals and support timely treatment.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Mathematical & Computational Biology
Akanksha Arora, Dashleen Kaur, Sumeet Patiyal, Dilraj Kaur, Ritu Tomer, Gajendra P. S. Raghava
Summary: Saliva, as a non-invasive diagnostic fluid, has great potential for early diagnosis and prognosis of patients. In order to accelerate research in non-invasive diagnosis and prognosis of complex diseases, it is important to gather all the information on salivary biomarkers into a single platform. A web-based database, SalivaDB, has been developed which contains extensive information on salivary biomarkers found in humans. This database provides comprehensive information on proteins, metabolites, microbes, miRNAs, and genes, and includes analysis methods, associated diseases, biomarker types, and other relevant data.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2023)
Review
Computer Science, Artificial Intelligence
Chunyu Yuan, Sos S. Agaian
Summary: Deep learning has revolutionized the development of intelligent systems and is widely used in various real-life applications. Binary Neural Networks (BNN) are game-changing technologies that can enhance the capabilities of deep learning and can be implemented on computationally limited and energy-constrained devices. While BNNs can significantly save storage, computation cost, and energy consumption, they often trade-offs with extra memory, computation cost, and higher performance.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Biotechnology & Applied Microbiology
Xinyu Bi, Yang Cheng, Xianhao Xu, Xueqin Lv, Yanfeng Liu, Jianghua Li, Guocheng Du, Jian Chen, Rodrigo Ledesma-Amaro, Long Liu
Summary: This study constructed a new genome-scale metabolic model for Bacillus subtilis, which accurately predicted the growth of mutants under different culture conditions. A software tool was also developed for model reconstruction and analysis. This model was further used to guide a metabolic engineering strategy, resulting in increased production of the nutraceutical menaquinone-7.
BIOTECHNOLOGY AND BIOENGINEERING
(2023)
Review
Environmental Sciences
Yogendra Singh Solanki, Madhu Agarwal, A. B. Gupta, Sanjeev Gupta, Pushkar Shukla
Summary: Fluoride contamination is a significant global issue with various health risks associated with excess fluoride in drinking water. The World Health Organization has set the upper limit for fluoride in drinking water at 1.5 mg/L, with different countries having their own standards. High levels of fluoride can lead to dental and skeletal issues, as well as chronic diseases.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Information Systems
Mohammed Chahbar, Gladys Diaz, Abdulhalim Dandoush, Christophe Cerin, Kamal Ghoumid
Summary: This article addresses the lack of consideration for Network Slice (NS) modeling details from Standards Developing Organizations (SDOs) in End-to-End (E2E) NS implementations. It provides a general architecture for E2E network slicing functionality before delving into domain-specific visions and surveys the NS modeling works in Radio Access Networks (RAN), Core Networks (CN), and Transport Networks (TN). The goal is to clarify the E2E Network Slicing process and propose integrating data models developed by IETF working groups in the context of the ACTN architecture for managing Transport NSs.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Review
Engineering, Environmental
Yonghai Gan, Chengcheng Ding, Bin Xu, Zhuang Liu, Shengtian Zhang, Yibin Cui, Bingdang Wu, Wenguang Huang, Xiaojie Song
Summary: This study critically reviews the performance and mechanism of coagulation technology in controlling antimony (Sb) pollution, introduces the factors influencing the Sb removal performance by coagulation, and emphasizes the internal mechanisms and improvement strategies of oxidation/reduction-coagulation and coagulation-membrane filtration technologies for Sb removal. Additionally, the development of Sb-removing coagulants and the resource utilization of Sb-containing sludge are discussed, providing important insights for basic research and practical applications of Sb and Sb-like pollution control in water/wastewater treatment.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Mathematics, Applied
Joel Weijia Lai, Kang Hao Cheong
Summary: Individuals' choices can have either positive or negative effects on the entire group. This article introduces a variant of Parrondo's paradox called PAPP, which shows how two losing choices can combine to yield a winning outcome, and explores its application in social networks.
Review
Immunology
Janita J. Oosterhoff, Mads Delbo Larsen, C. Ellen van der Schoot, Gestur Vidarsson
Summary: The degree of fucosylation of a human N-linked glycan at a conserved site in the immunoglobulin IgG-Fc domain may add an additional regulatory layer to adaptive humoral immunity, with significant implications.
TRENDS IN IMMUNOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Alex H. M. Ng, Parastoo Khoshakhlagh, Jesus Eduardo Rojo Arias, Giovanni Pasquini, Kai Wang, Anka Swiersy, Seth L. Shipman, Evan Appleton, Kiavash Kiaee, Richie E. Kohman, Andyna Vernet, Matthew Dysart, Kathleen Leeper, Wren Saylor, Jeremy Y. Huang, Amanda Graveline, Jussi Taipale, David E. Hill, Marc Vidal, Juan M. Melero-Martin, Volker Busskamp, George M. Church
Summary: Using a library of human transcription factor genes, this study identified and utilized new transcription factors to directly program human pluripotent stem cells into various cell types, offering a novel approach in the field of cell engineering.
NATURE BIOTECHNOLOGY
(2021)
Article
Food Science & Technology
Tam M. Huynh, Wayne C. Hodgson, Geoffrey K. Isbister, Anjana Silva
Summary: The study found that commercial antivenoms can partially reverse post-synaptic neurotoxicity induced by snake venom, with varying degrees and rates. The observations suggest that commercial antivenoms are likely to actively reverse established alpha-neurotoxin-mediated neuromuscular paralysis in snake envenoming and exhibit cross-neutralisation with different antivenoms.
Article
Food Science & Technology
Prabhani Thakshila, Wayne C. Hodgson, Geoffrey K. Isbister, Anjana Silva
Summary: This study examined the neutralisation effects of Indian and Australian polyvalent antivenoms on the myotoxicity induced by Sri Lankan Russell's viper and Australian mulga snake venom. The results demonstrated that Indian antivenom prevented the muscle contraction inhibition caused by the viper venom, while Australian antivenom did not. Australian antivenom neutralised the myotoxic effects of mulga snake venom, whereas Indian antivenom did not. The effects of antivenoms on already initiated myotoxicity was similar to physically removing the toxins.
Article
Pharmacology & Pharmacy
Tam M. Huynh, Anjana Silva, Geoffrey K. Isbister, Wayne C. Hodgson
Summary: This study identified and characterized short-chain and long-chain postsynaptic neurotoxins in the venom of the Indian Cobra. It was observed that antivenom could reverse the neurotoxicity of the long-chain neurotoxin, but not the short-chain neurotoxin.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Emergency Medicine
Katherine Isoardi, Benjamin Learmont, Benjamin Horan, Geoffrey Isbister
Summary: This study evaluated the effect of a care pathway on the management of opioid-poisoned patients. The results showed that the use of the pathway led to an increase in the proportion of patients receiving naloxone for respiratory depression and an increase in the number of documented observations.
EMERGENCY MEDICINE AUSTRALASIA
(2023)
Review
Toxicology
Theo Tasoulis, Geoffrey K. Isbister
Summary: Snake venoms are complex mixtures of proteins and peptides. Proteomic techniques have advanced our understanding of venom composition. The dominant protein families, including phospholipase A(2), snake venom metalloprotease, three-finger toxins, and snake venom serine protease, play significant roles in envenomation.
ARCHIVES OF TOXICOLOGY
(2023)
Article
Toxicology
Subodha Waiddyanatha, Anjana Silva, Kosala Weerakoon, Sisira Siribaddana, Geoffrey K. Isbister
Summary: There is no significant association between snakebite-associated acute kidney injury (AKI) and chronic kidney disease (CKD) in rural Sri Lankan snakebite patients. However, microalbuminuria is common and it is likely associated with hypertension, diabetes mellitus, and chronic interstitial nephritis in this population.
CLINICAL TOXICOLOGY
(2023)
Article
Toxicology
Joyce Cooper, Stephen B. Duffull, Geoffrey K. Isbister
Summary: This study aimed to investigate the frequency of serotonin toxicity following overdose of antidepressants that inhibit serotonin reuptake and the factors that influence the probability of serotonin toxicity occurring. The results showed that overdose dose and co-ingestion of certain medications increased the probability of serotonin toxicity, while increasing age and co-ingestion of certain medications decreased the probability.
CLINICAL TOXICOLOGY
(2023)
Article
Food Science & Technology
Mimi Lay, Qing Liang, Geoffrey K. Isbister, Wayne C. Hodgson
Summary: In this study, the efficacy of Chinese D. siamensis antivenom alone and in combination with Varespladib was examined for reversing neuromuscular blockade caused by the venom. It was found that the antivenom alone was not able to reverse the neurotoxic and myotoxic effects of the venom at different time points. However, the addition of Varespladib prevented these toxic effects and improved muscle function, indicating its potential as an adjunct treatment. The combination of Varespladib and antivenom did not offer additional benefits compared to Varespladib alone.
Article
Pharmacology & Pharmacy
Isabelle H. S. Kuan, Daniel F. B. Wright, Stephen B. Duffull
Summary: Flip-flop is a term used to describe the situation where rate constants in multiexponential models appear to be switched, but it is actually a permutation of parameter values' rank order. This article revisits flip-flop pharmacokinetics and discusses its influence in population pharmacokinetic analyses.
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Angela L. L. Chiew, Geoffrey K. K. Isbister, Paul Stathakis, Katherine Z. Z. Isoardi, Colin Page, Kirsty Ress, Betty S. H. Chan, Nicholas A. A. Buckley
Summary: The concentrations of APAP metabolites can predict the onset of hepatotoxicity in patients with acute APAP poisoning. Patients who developed hepatotoxicity had higher concentrations of CYP pathway metabolites and lower concentrations of sulfation metabolites. APAP metabolites may have potential roles in identifying and treating patients with APAP poisoning.
CLINICAL PHARMACOLOGY & THERAPEUTICS
(2023)
Article
Pediatrics
Chi Duong, Caitlyn Lovett, MIchael A. Downes, Geoffrey K. Isbister
Summary: The study aimed to describe the severity of clonidine poisonings in a paediatric population referred to a tertiary toxicology service. A retrospective review of clonidine poisoning cases in children or adolescents was conducted, revealing that the poisonings commonly resulted in bradycardia, hypotension, and decreased GCS, but rarely required major interventions.
JOURNAL OF PAEDIATRICS AND CHILD HEALTH
(2023)
Review
Pharmacology & Pharmacy
Tina Noutsos, Geoffrey K. Isbister
Summary: Snakebite is a neglected public health issue in resource poor countries, causing death and disability. Snakebite-associated thrombotic microangiopathy (TMA) leads to acute kidney injury and a risk of chronic kidney disease. The current evidence for therapeutic interventions in snakebite-associated TMA is limited and further research is needed.
EXPERT REVIEW OF CLINICAL PHARMACOLOGY
(2023)
Article
Toxicology
Geoffrey K. Isbister
Summary: Antivenom is the main treatment for snake envenoming, but availability is a concern in resource poor regions. Early administration and selective use of antivenom are essential for effective treatment. Delays in antivenom administration occur both before and after hospitalization, and improving diagnosis speed and timing of administration are crucial.
Article
Toxicology
Michael A. Downes, Maree Connor, Geoffrey K. Isbister
Summary: This study reports the clinical effects of health care workers caring for an organophosphate poisoned patient and found no evidence of toxicity. The findings support the use of standard personal protective equipment as recommended in guidelines.
CLINICAL TOXICOLOGY
(2023)
Article
Toxicology
Subodha Waiddyanatha, Anjana Silva, Supun Wedasingha, Sisira Siribaddana, Geoffrey K. Isbister
Summary: This study aimed to assess the frequency of serum sickness following the administration of Indian polyvalent antivenom in Sri Lanka. The results showed that only a small proportion of patients developed serum sickness, in contrast to other antivenom studies.
CLINICAL TOXICOLOGY
(2023)
