Highly Conductive Non-Calcined 2D CuCo Bimetallic-Organic Framework for Urea Electrolysis in Simulated Seawater.

Global clean energy demands can be effectively addressed using the promising approach of hydrogen energy generation combined with less energy consumption. Hydrogen can be generated, and urea-rich wastewater pollution can be mitigated in a low-energy manner using the urea oxidation reaction (UOR). This paper seeks to assemble a unique electrocatalyst of a pristine 2D MOF, [Co(HBTC)(DMF)] (Co-MUM-3), from 1,3,5-benzenetricarboxylate (BTC) to oxidize urea in simulated seawater.

Effects of FGFR2b-ligand signaling on pancreatic branching morphogenesis and postnatal islet function.

Pancreatic development is a complex process vital for maintaining metabolic balance, requiring intricate interactions among different cell types and signaling pathways. Fibroblast growth factor receptors 2b (FGFR2b)-ligands signaling from adjacent mesenchymal cells is crucial in initiating pancreatic development and differentiating exocrine and endocrine cells through a paracrine mechanism. However, the precise critical time window that affects pancreatic development remains unclear.

Green-light-induced selective hydroselenation of olefins with diselenides.

A selective green-light-induced hydroselenation of alkenes with diselenides using Hantzsch ester as the hydrogen donor has been developed. In the case of electron-neutral diaryl diselenides and diacyl ones, alkenes undergo anti-Markovnikov-selective hydroselenation. When switching to electron-deficient diaryl diselenides and dialkyl ones, Markovnikov-selective hydroselenation occurs.

An Optimized SVR Algorithm for Pulse Pile-Up Correction in Pulse Shape Discrimination.

Pulse pile-up presents a significant challenge in nuclear radiation measurements, particularly in neutron-gamma pulse shape discrimination, as it causes pulse distortion and diminishes identification accuracy. To address this, we propose an optimized Support Vector Regression (SVR) algorithm for correcting pulse pile-up. Initially, the Dung Beetle Optimizer (DBO) and Whale Optimization Algorithm (WOA) are integrated to refine the correction process, with performance evaluated using charge comparison methods (CCM) for pulse shape discrimination.

Assessment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectroscopy and Optimized Support Vector Machine.

Accurate assessment of the aging state of transformer oil-barrier insulation is crucial for ensuring the safe and reliable operation of power systems. This study presents the development of indoor accelerated thermal aging experiments to simulate the degradation of oil-immersed barrier insulation within transformers. A series of samples reflecting various aging states was obtained and categorized into six distinct groups.

The various associations between whole /regional fat mass and trajectory of cardiometabolic diseases: a nonlinear multistate model.

Objective: This study aimed to investigate the association of whole body/regional fat mass (FM) with cardiometabolic disease (CMD) trajectory.

Methods: We conducted a prospective analysis using the UK Biobank. The FM index (FMI), a surrogate for whole body FM, and regional FM (i.

Perfluorohexanesulfonic Acid (PFHxS) Induces Hepatotoxicity through the PPAR Signaling Pathway in Larval Zebrafish ().

In recent years, the industrial substitution of long-chain per- and polyfluoroalkyl substances (PFAS) with short-chain alternatives has become increasingly prevalent, resulting in the widespread environmental detection of perfluorohexanesulfonic acid (PFHxS), a short-chain PFAS. However, there remains limited information about the potential adverse effects of PFHxS at environmental concentrations to wildlife. Here, early life stage zebrafish () were exposed to environmentally relevant concentrations of PFHxS to better characterize the adverse effects of PFHxS on aquatic organisms.

Intratumoral and peritumoral radiomics based on ultrasound for the differentiation of follicular thyroid neoplasm.

Background: Although ultrasound (US) has been widely adopted as the preferred imaging modality for thyroid nodule evaluation, its reliability in distinguishing follicular adenomas from adenocarcinomas based on US features has been a subject of debate. The primary objective of our study was to comprehensively evaluate the efficacy of US-derived intratumoral and peritumoral radiomics in preoperatively differentiating follicular thyroid adenomas from adenocarcinomas, thereby contributing to the ongoing discussion regarding this challenging distinction.

Methods: In total, 195 patients who were pathologically diagnosed with thyroid follicular neoplasm were retrospectively enrolled in this study.

CRISPR/Cas13a combined with reverse transcription and RPA for NoV GII.4 monitoring in water environments.

Water bodies contaminated with the norovirus (NoV) are important vectors for its transmission. Therefore, enhanced monitoring of NoV in aqueous environments plays an active role in preventing diseases. Here, we reverse transcribed viral RNA into cDNA, and then used the constructed RPA-CRISPR/Cas13a-based platform for sensitive and quantitative monitoring of NoV GII.

Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritis.

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease. Lupus nephritis (LN) is a major risk factor for morbidity and mortality in SLE. Proliferative and pure membranous LN have different prognoses and may require different treatments.

Utilizing large language models for identifying future research opportunities in environmental science.

Facing pressing global challenges such as climate change, biodiversity loss, resource scarcity, and environmental pollution, the field of environmental science urgently needs innovative research methods. However, identifying meaningful and cutting-edge research topics is a significant challenge, as it requires a thorough understanding of existing literature and the ability to discern knowledge gaps. Traditional bibliometrics often fall short of capturing nascent interdisciplinary fields.

Widespread distribution of chlorophyll f-producing Leptodesmis cyanobacteria.

Chlorophyll (Chl) f was reported as the fifth Chl in oxygenic photoautotrophs. Chlorophyll f production expanded the utilization of photosynthetically active radiation into the far-red light (FR) region in some cyanobacterial genera. In this study, 11 filamentous cyanobacterial strains were isolated from FR-enriched habitats, including hydrophyte, moss, shady stone, shallow ditch, and microbial mat across Central and Southern China.

Photoredox/Iron Dual-Catalysis-Enabled [4 + 2] Cyclization of Acyl Nitrene with Alkynes.

In this work, the annulation of acyl nitrene with alkynes is reported under photoredox/iron dual-catalysis for the synthesis of a series of isoquninalin-2-ones. The reaction is featured with a high reaction regioselectivity and good reaction generality. In particular, the resulting isoquinalin-2-ones could be structurally elaborated into several biologically interesting scaffolds.

High Relative Humidity-Induced Growth of Perovskite Nanowires from Glass toward Single-Mode Photonic Nanolasers at Sub-100-nm Scale.

Metal halide perovskites (MHPs) have achieved substantial progress in their applications; however, their ionic crystal character and low formation energy result in poor structural stability and limited morphological tunability. In particular, high relative humidity (RH) commonly causes severe MHP degradation, which poses a major obstacle to long-term device operation. Herein, high RH-induced growth of anisotropic MHP structures on glass surfaces is reported under 25 °C and atmospheric conditions on a basis of glass corrosion by moisture.

Mo-Pb redox triggers self-enhanced removal and recovery of Pb with superselectivity.

Membrane-based electrodeposition (MED) has emerged as a promising approach for reversible removal-recovery of toxic but valuable Pb. However, limited by the low specificity of membrane deposition toward various heavy metal ions in MED, the selective removal of Pb remains an obstacle. Inspired by the soft-hard acid-base theory, here we developed a Pb-affinity electroactive membrane by incorporating MoS with the cation exchange membrane (CEM) to achieve a tandem Pb selective adsorption-deposition process.

Enhanced sediment microbial diversity in mangrove forests: Indicators of nutrient status in coastal ecosystems.

Coastal ecosystems are increasingly threatened by nutrient imbalances and environmental degradation, which can compromise their stability and productivity. We analyzed the sediment characteristics, microbial community structures, and nutrient cycling across three habitats: mangrove forests, seagrass beds, and bare beaches. The physicochemical properties (including pH, total nitrogen (TN), phosphorus (P), and potassium (K)) of the sediment samples were analyzed, and the microbial diversity was assessed using high-throughput sequencing.

Latest advancements and prospects in the next-generation of Internet of Things technologies.

The Internet of Things (IoT) is a sophisticated network of objects embedded with electronic systems that enable devices to collect and exchange data. IoT is a recent trending leading technology and changing the way we live. However, it has several challenges especially efficiency, architecture, complexity, and network topology.

Structure and property exploration of two-dimensional, bulk, and cluster lithium sulfide using the IMODE method.

Lithium sulfide (LiS) plays an important role in fields such as energy, environment and semiconductors. Exploration of the microstructure of LiS has significant implications for developing new materials and optimizing related material properties. In this work, the inverse design of materials by the multi-objective differential evolution (IMODE) method combined with density functional theory (DFT) calculations was used to predict the two-dimensional (2D), three-dimensional (3D), and cluster structures of LiS.

A perspective on the algae-derived dissolved organic matter and its dynamic influence on the aggregation of nanoplastics in eutrophic waters.

The aggregation behavior of nanoplastics (NPs) is crucial in determining their fate in aquatic environments. Dissolved organic matter (DOM), characterized by its complex molecular structure and diverse functional groups, can spontaneously absorb on the surface of NPs, thus altering their colloidal stability. In eutrophic waters, DOM primarily originates from metabolic byproducts released by phytoplankton, and its molecular composition and hydrophilic properties change dynamically as the progression of algal blooms.

High temperature induces the upward shift of the thermal neutral zone and decreases metabolic capacity in zebra finches.

The thermal neutral zone (TNZ) represents a fundamental concept in the thermal physiology of homeothermic organisms. TNZ is characterized as a specific range of environmental temperatures within which the metabolic rate remains at its basal level. The ambient temperature is regarded as a critical environmental factor that affects an animal's thermoregulation and propels the development of various morphological, physiological, and behavioral adaptations.

Decoding AI ethics from Users' lens in education: A systematic review.

In recent years, Artificial Intelligence (AI) has witnessed remarkable expansion, greatly benefiting the education sector. Nonetheless, this advancement brings forth several ethical dilemmas. The existing research on these ethical concerns within the educational framework is notably scarce, particularly when viewed from a user's standpoint.

The influence of transportation, social norms, cultural identity, and affective disposition in transnational media enjoyment.

Background: The globalization of the media market is forcing decision-makers to understand the psychological processes behind local audiences' enjoyment of foreign TV dramas. Transportation is a well-established psychological theory and framework utilized to elucidate and anticipate audience engagement and enjoyment in the cognitive process of experiencing a narrative text. Although there is a substantial body of literature on transportation and media enjoyment, there is a noticeable absence of studies on the relationship between audiences being "transported" into the narrative world of TV dramas and, particularly, the pleasure audiences derive from interacting with media content within a cross-cultural acceptance context.