Leveraging Cross-Diversity Machine Learning to Unveil Metal-Organic Frameworks with Open Copper Sites for Biogas Upgrading.

Biogas, primarily composed of methane (CH) and carbon dioxide (CO), is considered an alternative renewable energy resource. Efficient CO/CH separation is essential for biogas upgrading to increase energy density, and in this context, metal-organic frameworks (MOFs) have demonstrated significant potential. Here, we integrate multiscale modeling with cross-diversity machine learning (ML) to unveil MOFs with open copper sites (OCS-MOFs) that exhibit exceptional CO/CH separation performance.

Cell-Active, Arginine-Targeting Irreversible Covalent Inhibitors for Non-Kinases and Kinases.

Targeted covalent inhibitors (TCIs) play an essential role in the fields of kinase research and drug discovery. TCI strategies to target more common amino acid side-chains have yet to be demonstrated. Targeting other amino acids would also expand the pharmaceutical industry's toolbox for targeting other tough-to-drug proteins.

Cationic Magnetically Active Nitrogen-Doped Polycyclic Aromatic Hydrocarbon with Record Low Band Gap.

Polycyclic aromatic hydrocarbons (PAHs) have attracted significant interest in material chemistry, particularly if they own extremely low band gaps and magnetic properties. However, challenges remain regarding the synthetic accessibility and energy saturation issues. In this study, we introduce NR-11, which consists of eleven aromatic rings in its main conjugation and is separately doped with two electron-rich nitrogen atoms.

Modulation of CRISPR-Cas9 cleavage with an oligo-ribonucleoprotein design.

Clustered regularly interspaced short palindromic repeats (CRISPR) associated protein Cas9 system has been widely used for genome editing. However, the editing or cleavage specificity of CRISPR Cas9 remains a major concern due to the off-target effects. The existing approaches to control or modulate CRISPR Cas9 cleavage include engineering Cas9 protein and development of anti-CRISPR proteins.

Stretchable Polymer Hydrogels Based Flexible Triboelectric Nanogenerators for Self-Powered Bioelectronics.

The rapid development of flexible electronics has led to unprecedented social and economic improvements. But conventional power devices cannot adapt to the advances of flexible electronics. Triboelectric nanogenerators (TENGs) have been used as robust power sources to transform ambient mechanical energy into electricity, thus meeting the power requirements of flexible electronics.

Body Composition in Adults Born at Very Low Birthweight-A Sibling Study.

Background: Individuals born preterm at very low birthweight (VLBW, < 1500 g) tend to attain a smaller adult body size compared with term-born peers but less is known regarding specific body composition characteristics.

Objectives: We aimed to assess whether adults born at VLBW have less beneficial body composition characteristics, potentially mediating the association between VLBW birth and cardiometabolic disease. Sibling controls were used to account for the potential influence of shared genetic and/or lifestyle factors.

Comparative phenotypic and proteomic analysis of colistin-exposed .

Introduction: The emergence of colistin resistance threatens the treatment of infections.

Methods: In this study, in vitro development of colistin resistance was investigated using comparative phenotypic and proteomic analysis of ATCC 9027, its 14-day colistin sub-MIC exposed strain (Col-E1), and 10-day antibiotic-free cultured Col-E1 strain (Col-E2). Antibiotic susceptibility, morphology, virulence factors, and proteomic changes were assessed using disc-diffusion, agar-based, spectrophotometry, SEM, and iTRAQ-LC-MS/MS methods.

"If I could try it, I'd try it": Qualitative study of the illegal vaping culture in Singapore.

Aims And Background: Singapore has one the world's strictest e-cigarette (vaping) regulations, with bans on e-cigarette import, sale, purchase, use and possession. Nevertheless, Singapore is seeing a growing vaping trend. Beyond estimates of vaping prevalence, little is known about vaping in countries where it is banned or the features and drivers of such illegal vaping cultures.

Packing Engineering of Zirconium Metal-Organic Cages in Mixed Matrix Membranes for CO/CH Separation.

Metal-organic cages (MOCs) have been considered as emerging zero-dimensional (0D) porous fillers to generate molecularly homogeneous MOC-based membrane materials. However, the discontinuous pore connectivity and low filler concentrations limit the improvement of membrane separation performance. Herein, we propose the dimension augmentation of MOCs in membranes using three-dimensional (3D) supramolecular MOC networks as filler materials in mixed matrix membranes (MMMs).

Identification and monitoring of cell heterogeneity from plasmid recombination during limonene production.

Detecting alterations in plasmid structures is often performed using conventional molecular biology. However, these methods are laborious and time-consuming for studying the conditions inducing these mutations, which prevent real-time access to cell heterogeneity during bioproduction. In this work, we propose combining both flow cytometry and fluorescence-activated cell sorting, integrated with mechanistic modelling to study conditions that lead to plasmid recombination using a limonene-producing microbial system as a case study.

Aqueous Proteomic and Metabolomic Profiles in Low-Energy vs High-Energy Femtosecond Laser-Assisted Cataract Surgery.

Purpose: To investigate the aqueous proteomics and metabolomics in low-energy and high-energy femtosecond laser-assisted cataract surgery (FLACS).

Methods: In this prospective observational study, 72 patients were randomized to 3 groups: low-energy FLACS, high-energy FLACS, and conventional phacoemulsification (controls). Aqueous was collected after femtosecond laser treatment or at the beginning of surgery (controls).

Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution.

Gastric cancer (GC) is a major cause of global cancer mortality with high levels of heterogeneity. To explore geospatial interactions in tumor ecosystems, we integrated 2,138 spatial transcriptomic regions-of-interest (ROIs) with 152,423 single-cell expression profiles across 226 GC samples from 121 patients. We observed pervasive expression-based intratumor heterogeneity, recapitulating tumor progression through spatially localized and functionally ordered subgroups associated with specific immune microenvironments, checkpoint profiles, and genetic drivers such as SOX9.

EZH2 modulates mRNA splicing and exerts part of its oncogenic function through repression of splicing factors in CML.

The polycomb protein EZH2 is up-regulated in Chronic Myeloid Leukaemia (CML) and associated with transcriptional reprogramming. Here we tested whether EZH2 might also act as a modulator of the mRNA splicing landscape to elicit its oncogenic function in CML. We treated CML cell lines with EZH2 inhibitors and detected differential splicing of several hundreds of events, potentially caused by the transcriptional regulation of splicing factors.

Sociobiology meets oncology: unraveling altruistic cooperation in cancer cells and its implications.

Altruism, an act of benefiting others at a cost to the self, challenges our understanding of evolution. This Perspective delves into the importance of altruism in cancer cells and its implications for therapy. Against the backdrop of existing knowledge on various social organisms found in nature, we explore the mechanisms underlying the manifestation of altruism within breast tumors, revealing a complex interplay of seemingly counteracting cancer signaling pathways and processes that orchestrate the delicate balance between cost and benefit underlying altruistic cooperation.

Genetic Risk Factors for Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD), is the most common cause of liver disease, and its burden on health systems worldwide continues to rise at an alarming rate. MASLD is a complex disease in which the interactions between susceptible genes and the environment influence the disease phenotype and severity. Advances in human genetics over the past few decades have provided new opportunities to improve our understanding of the multiple pathways involved in the pathogenesis of MASLD.

High-coverage whole-genome sequencing of a Jakun individual from the "Orang Asli" Proto-Malay subtribe from Peninsular Malaysia.

Jakun, a Proto-Malay subtribe from Peninsular Malaysia, is believed to have inhabited the Malay Archipelago during the period of agricultural expansion approximately 4 thousand years ago (kya). However, their genetic structure and population history remain inconclusive. In this study, we report the genome structure of a Jakun female, based on whole-genome sequencing, which yielded an average coverage of 35.

Increased MASH-associated liver cancer in younger demographics.

Background: The incidence of cancer and the prevalence of metabolic disease and metabolic dysfunction-associated steatotic liver disease is increasing in young adults. However, updated global data on metabolic dysfunction-associated steatohepatitis (MASH)-associated primary liver cancer (PLC) in young adults remains scarce.

Methods: This study analyzed data from the Global Burden of Disease study between 2000 and 2021 to assess the age-standardized incidence, mortality, and disability-adjusted life years rates from MASH-associated PLC in young adults (15-49 y).

Machine Learning-Assisted High-Donor-Number Electrolyte Additive Screening toward Construction of Dendrite-Free Aqueous Zinc-Ion Batteries.

The utilization of electrolyte additives has been regarded as an efficient strategy to construct dendrite-free aqueous zinc-ion batteries (AZIBs). However, the blurry screening criteria and time-consuming experimental tests inevitably restrict the application prospect of the electrolyte additive strategy. With the rise of artificial intelligence technology, machine learning (ML) provides an avenue to promote upgrading of energy storage devices.

Good Practices for Health Technology Assessment Guideline Development: A Report of the Health Technology Assessment International, HTAsiaLink, and ISPOR Special Task Force.

Objectives: Health technology assessment (HTA) guidelines are intended to support successful implementation of HTA by enhancing consistency and transparency in concepts, methods, process, and use, thereby enhancing the legitimacy of the decision-making process. This report lays out good practices and practical recommendations for developing or updating HTA guidelines to ensure successful implementation.

Methods: The task force was established in 2022 and comprised experts and academics from various geographical regions, each with substantial experience in developing HTA guidelines for national health policymaking.

Antiscience, Vaccine Hesitancy, and Pandemic Responses: Highlights from the Asia Pacific Summit on Infectious Diseases and Immunization.

The recent resurgence of mpox highlights the urgent need for rethinking vaccination strategies globally, underscored by the painful memories of past public health crises where delayed responses and inequitable vaccine distribution exacerbated the spread of infectious diseases. The inaugural APIC-ADVA Asia Pacific Summit on Infectious Diseases and Immunization, themed "Vaccination for All: Access, Confidence and Equity (ACE)", was held in Singapore from 31 October to 1 November 2023 in an attempt to present best practices and hard-won insights from battling COVID-19 and other pandemics in the Asia-Pacific region. This summit was co-convened by the Asia-Pacific Immunization Coalition (APIC) and Asia Dengue Voice and Action (ADVA).

Probabilistic Attention Map: A Probabilistic Attention Mechanism for Convolutional Neural Networks.

The attention mechanism is essential to (CNN) vision backbones used for sensing and imaging systems. Conventional attention modules are designed heuristically, relying heavily on empirical tuning. To tackle the challenge of designing attention mechanisms, this paper proposes a novel probabilistic attention mechanism.

A Comparison of Three Automated Nucleic Acid Extraction Systems for Human Stool Samples.

Automated nucleic acid extractors are useful instruments for the high-throughput processing of bio-samples and are expected to improve research throughput in addition to decreased inter-sample variability inherent to manual processing. We evaluated three commercial nucleic acid extractors Bioer GenePure Pro (Bioer Technology, Hangzhou, China), Maxwell RSC 16 (Promega Corporation, Madison, WI, USA), and KingFisher Apex (ThermoFisher Scientific, Waltham, MA, USA) based on their DNA yield, DNA purity, and 16S rRNA gene amplicon results using both human fecal samples and a mock community (ZymoBIOMICS Microbial Community Standard (Zymo Research Corp., Irvine, CA, USA)).

Loss of Glutathione-S-Transferase Theta 2 (GSTT2) Modulates the Tumor Microenvironment and Response to BCG Immunotherapy in a Murine Orthotopic Model of Bladder Cancer.

Loss of the glutathione-S-transferases Theta 2 (Gstt2) expression is associated with an improved response to intravesical , Bacillus Calmette-Guérin (BCG) immunotherapy for non-muscle-invasive bladder cancer (NMIBC) patients who receive fewer BCG instillations. To delineate the cause, Gstt2 knockout (KO) and wildtype (WT) C57Bl/6J mice were implanted with tumors before treatment with BCG or saline. RNA was analyzed via single-cell RNA sequencing (scRNA-seq) and real-time polymerase chain reaction (RT-PCR).

Three-Dimensional Modelling of Indexed Papillary Muscle Displacement in Patients Requiring Mitral Valve Surgery Using Four-Dimensional Echocardiography Variables.

: Two-dimensional and three-dimensional echocardiographic imaging are commonly used in assessing ischemic mitral regurgitation (IMR) and degenerative mitral regurgitation (DMR) in patients with mitral valve disease. However, the use of 4D echocardiographic imaging has not yet been reported. The objectives of this study were to explore the efficacy of utilizing 4D echocardiographic variables, determine papillary muscle displacement in patients with either IMR or DMR, and compare the differences in papillary muscle displacement between groups.

Unveiling Complexity: Mathematical Models in Aortic Disease Investigation.

The complexity of aortic diseases demands sophisticated modeling approaches to better understand their pathophysiology and optimize treatment strategies [...