Microbial biopesticides: A one health perspective on benefits and risks.

Controlling insect pests that destroy crop and spread diseases will become increasingly crucial for addressing the food demands of a growing global population and the expansion of vector-borne diseases. A key challenge is the development of a balanced approach for sustainable food production and disease control in 2050 and beyond. Microbial biopesticides, derived from bacteria, viruses, fungi, protozoa, or nematodes, offer potentially significant benefits for promoting One Health and contributing to several United Nations Sustainable Development Goals (SDGs).

A qualitative study on general practitioners' perspectives on late-life depression in Singapore-part II: system- and physician-related factors.

Background: Little is known about the practices and resources employed by general practitioners (GPs) in Singapore to manage late-life depression. As the country is stepping up its efforts to promote collaborative care across community mental health and geriatric care, understanding GPs' current practices when managing late-life depression appears timely.

Methods: This qualitative descriptive study explored the perspectives on late-life depression of 28 private GPs practicing in Singapore through online semi-structured group and individual interviews.

A Multi-Center Prospective Study on the Healing of Neuro-Ischemic Ulcers in Singapore: A Prospective Cohort Study.

Background And Aims: Neuro-ischemic ulcers (NIU) present a substantial clinical and economic burden on the healthcare systems. This study aims to evaluate their healing rate, associated healthcare resource utilization, and prognostic factors influencing healing.

Methods: Consecutive patients attended specialist clinics or admitted to wards in three tertiary hospitals for new or existing NIUs from November 2019 to November 2021 were eligible for this study.

Behavior, mechanisms, and applications of low-concentration CO in energy media.

This review explores the behavior of low-concentration CO (LCC) in various energy media, such as solid adsorbents, liquid absorbents, and catalytic surfaces. It delves into the mechanisms of diffusion, adsorption, and catalytic reactions, while analyzing the potential applications and challenges of these properties in technologies like air separation, compressed gas energy storage, and CO catalytic conversion. Given the current lack of comprehensive analyses, especially those encompassing multiscale studies of LCC behavior, this review aims to provide a theoretical foundation and data support for optimizing CO capture, storage, and conversion technologies, as well as guidance for the development and application of new materials.

Cycloolefin Copolymers With a Multiply Rigid Structure for Protecting Triplet Exciton From Thermo- and Moisture-Quenching.

Polymeric room temperature phosphorescence (RTP) materials have been well developed and utilized in various fields. However, their fast thermo- and moisture-quenching behavior highly limit their applications in certain harsh environments. Therefore, the preparation of materials with thermo- and moisture-resistant phosphorescence is greatly attractive.

Microfluidics for morpholomics and spatial omics applications.

Creative designs, precise fluidic manipulation, and automation have supported the development of microfluidics for single-cell applications. Together with the advancements in detection technologies and artificial intelligence (AI), microfluidic-assisted platforms have been increasingly used for new modalities of single-cell investigations and in spatial omics applications. This review explores the use of microfluidic technologies for morpholomics and spatial omics with a focus on single-cell and tissue characterization.

Cation-Vacancy Engineering in Cobalt Selenide Boosts Electrocatalytic Upcycling of Polyester Thermoplastics at Industrial-Level Current Density.

The past decades have witnessed the increasing accumulation of plastics, posing a daunting environmental crisis. Among various solutions, converting plastics into value-added products presents a significant endeavor. Here, an electrocatalytic upcycling route that efficiently converts waste poly(butylene terephthalate) plastics into high-value succinic acid with high Faradaic efficiency of 94.

Site-Selective Modification and Labeling of Native RNA.

Ribonucleic acid (RNA) plays a pivotal role in regulating biological processes within living systems, with modified nucleosides serving as critical modulators of various aspects of biological functions. Therefore, the development of efficient methodologies for late-stage, site-selective RNA modification is of considerable interest, as it facilitates the functional exploration of RNA chemical modifications and their implications for therapeutic applications. Precise RNA modification holds significant promise for the treatment of genetic diseases by enabling the correction of mutated nucleobases to their wild-type forms.

Computational Insights Into Corrosion Inhibition Mechanism: Dissociation of Imidazole on Iron Surface.

Corrosion inhibitors are widely used to mitigate safety risks and economic losses in engineering, yet post-adsorption processes remain underexplored. In this study, we employed density functional theory calculations with a periodic model to investigate the dissociation mechanisms of imidazole on the Fe(100) surface. Imidazole was found to adsorb optimally in a parallel orientation, with an adsorption energy of -0.

Nation-wide surveillance of ticks (Acari: Ixodidae) on dogs and cats in Singapore.

Companion animals are major reservoirs of zoonotic parasites and pathogens. Among these, ticks and tick-borne pathogens are of particular concern. Efforts to study the zoonotic risks associated with companion animals in Singapore have been hampered by a poor understanding of the ticks of local dogs and cats.

Global impact of 10- and 13-valent pneumococcal conjugate vaccines on pneumococcal meningitis in all ages: the PSERENADE project.

Background: Pneumococcal conjugate vaccines (PCVs) introduced in childhood national immunization programs lowered vaccine-type invasive pneumococcal disease (IPD), but replacement with non-vaccine-types persisted throughout the PCV10/13 follow-up period. We assessed PCV10/13 impact on pneumococcal meningitis incidence globally.

Methods: The number of cases with serotyped pneumococci detected in cerebrospinal fluid and population denominators were obtained from surveillance sites globally.

Using evidence-based imaging referral guidelines to facilitate appropriate imaging: Are they all the same?

Rationale And Objectives: Countries worldwide have selected, adopted, adapted, and translated evidence-based imaging referral guidelines from radiology professional bodies. This study establishes the concordance of three imaging referral guidelines from the ACR, ESR, and RCR, and examines the emergency department cervical spine imaging appropriateness rates.

Materials And Methods: A retrospective analysis of the electronic medical records was performed between October 1st to December 31st, 2022, evaluating 452 radiography and 153 CT imaging referrals.

Association of dysfunctional adiposity index with kidney impairment is accounted for by pigment epithelium-derived factor in type 2 diabetes mellitus - An 11-year follow-up of the SMART2D cohort study.

Aims: This novel longitudinal study investigated the association of the new dysfunctional adiposity index (DAI) with kidney impairment in multi-ethnic Asians with type 2 diabetes mellitus (T2DM), and the mediation effect of pigment epithelium-derived factor (PEDF).

Methods: T2DM adults followed for up to 10.5 years were analyzed (n = 1611).

Cost-effective production of meaty aroma from porcine cells for hybrid cultivated meat.

Cultivated meats are typically hybrids of animal cells and plant proteins, but their high production costs limit their scalability. This study explores a cost-effective alternative by hypothesizing that controlling the Maillard and lipid thermal degradation reactions in pure cells can create a meaty aroma that could be extracted from minimal cell quantities. Using spontaneously immortalized porcine myoblasts and fibroblasts adapted to suspension culture with a 1 % serum concentration, we developed a method to isolate flavor precursors via freeze-thawing.

The feasibility of using machine learning to predict COVID-19 cases.

Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.

Peptide-Based Complex Coacervates Stabilized by Cation-π Interactions for Cell Engineering.

Complex coacervation is a form of liquid-liquid phase separation, whereby two types of macromolecules, usually bearing opposite net charges, self-assemble into dense microdroplets driven by weak molecular interactions. Peptide-based coacervates have recently emerged as promising carriers to deliver large macromolecules (nucleic acids, proteins and complex thereof) inside cells. Thus, it is essential to understand their assembly/disassembly mechanisms at the molecular level in order to tune the thermodynamics of coacervates formation and the kinetics of cargo release upon entering the cell.

The 40S ribosomal subunit recycling complex modulates mitochondrial dynamics and endoplasmic reticulum - mitochondria tethering at mitochondrial fission/fusion hotspots.

The 40S ribosomal subunit recycling pathway is an integral link in the cellular quality control network, occurring after translational errors have been corrected by the ribosome-associated quality control (RQC) machinery. Despite our understanding of its role, the impact of translation quality control on cellular metabolism remains poorly understood. Here, we reveal a conserved role of the 40S ribosomal subunit recycling (USP10-G3BP1) complex in regulating mitochondrial dynamics and function.

AGA Clinical Practice Guideline on the Prevention and Treatment of Hepatitis B Virus Reactivation in At-Risk Individuals.

Background & Aims: Hepatitis B reactivation (HBVr) can occur due to a variety of immune-modulating exposures, including multiple drug classes and disease states. Antiviral prophylaxis can be effective in mitigating the risk of HBVr. In select cases, clinical monitoring without antiviral prophylaxis is sufficient for managing the risk of HBVr.

ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis.

Objective: Electronic health record (EHR) systems contain a wealth of clinical data stored as both codified data and free-text narrative notes (NLP). The complexity of EHR presents challenges in feature representation, information extraction, and uncertainty quantification. To address these challenges, we proposed an efficient Aggregated naRrative Codified Health (ARCH) records analysis to generate a large-scale knowledge graph (KG) for a comprehensive set of EHR codified and narrative features.

Prognostic performance of the two-step clinical care pathway in metabolic dysfunction-associated steatotic liver disease.

Background & Aims: Current guidelines recommend a 2-step approach for risk stratification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) with Fibrosis-4 index (FIB-4) followed by liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) or similar second-line tests. This study aimed to examine to prognostic performance of this approach.

Methods: The VCTE-Prognosis Study was a longitudinal study of patients with MASLD who had undergone VCTE examinations at 16 centres from the US, Europe and Asia with subsequent follow-up for clinical events.

Evaluation of a smartphone-based markerless system to measure lower-limb kinematics in patients with knee osteoarthritis.

OpenCap, a smartphone-based markerless system, offers a cost-effective alternative to traditional marker-based systems for gait analysis. However, its kinematic measurement accuracy must be evaluated before widespread use in clinical practice. This study aimed to evaluate OpenCap for lower-limb joint angle measurements during walking in patients with knee osteoarthritis (OA) and to compare error metrics between patients and healthy controls.

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.

Detecting anomalies in attributed networks has become a subject of interest in both academia and industry due to its wide spectrum of applications. Although most existing methods achieve desirable performance by the merit of various graph neural networks, the way they bundle node-affiliated multidimensional attributes into a whole for embedding calculation hinders their ability to model and analyze anomalies at the fine-grained feature level. To characterize anomalies from each feature dimension, we propose Eagle, a deep framework based on bipartitE grAph learninG for anomaLy dEtection.

RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces.

Accurate decoding of electroencephalogram (EEG) signals in the shortest possible time is essential for the realization of a high-performance brain-computer interface (BCI) system based on the steady-state visual evoked potential (SSVEP). However, the degradation of decoding performance of short-length EEG signals is often unavoidable due to the reduced information, which hinders the development of BCI systems in real-world applications. In this paper, we propose a relaxed matching knowledge distillation (RMKD) method to transfer both feature-level and logit-level knowledge in a relaxed manner to improve the decoding performance of short-length EEG signals.