GradeDiff-IM: An Ensembles Model-based Grade Classification of Breast Cancer.

Cancer grade classification is a challenging task identified from the cell structure of healthy and abnormal tissues. The partitioner learns about the malignant cell through the grading and plans the treatment strategy accordingly. A major portion of researchers used DL models for grade classification.

Platanus occidentalis L. fruit-derived carbon materials for electrochemical potassium storage.

In the post-lithium-ion battery era, potassium-ion batteries (PIBs) have been considered as a promising candidate because of their electrochemical and economic characteristics. However, as an emerging electrochemical storage technology, it is urgent to develop capable anode materials that can be produced at low cost and on a large scale to promote its practical application. Biomass-derived carbon materials as anodes of PIBs exhibit strong competitiveness by their merits of low weight, high stability, non-toxicity, and wide availability.

Metastable state preceding shear zone instability: Implications for earthquake-accelerated landslides and dynamic triggering.

Understanding the dynamic response of granular shear zones under cyclic loading is fundamental to elucidating the mechanisms triggering earthquake-induced landslides, with implications for broader fields such as seismology and granular physics. Existing prediction methods struggle to accurately predict many experimental and in situ landslide observations due to inadequate consideration of the underlying physical mechanisms. The mechanisms that influence landslide dynamic triggering, a transition from static (or extremely slow creeping) to rapid runout, remain elusive.

Genome-wide association mapping of bruchid resistance loci in soybean.

Soybean is a globally important industrial, food, and cash crop. Despite its importance in present and future economies, its production is severely hampered by bruchids (Callosobruchus chinensis), a destructive storage insect pest, causing considerable yield losses. Therefore, the identification of genomic regions and candidate genes associated with bruchid resistance in soybean is crucial as it helps breeders to develop new soybean varieties with improved resistance and quality.

Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.

Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion. Techniques such as Compressed Sensing (CS) and Parallel Imaging (pMRI) have been proposed to accelerate MRI data acquisition and improve image quality. However, these methods have limitations in high spatial-resolution applications, often resulting in blurring or residual artifacts.

Experimental investigation on mechanical properties and strength criteria of frozen soft rock.

Excavation of underground engineering structures involving deeply buried water-rich soft rocks is generally carried out using the artificial freezing method. A series of undrained uniaxial and triaxial shear and creep tests were conducted on soft rocks under different confining pressures (0, 0.2, 0.

An optimized approach for container deployment driven by a two-stage load balancing mechanism.

Lightweight container technology has emerged as a fundamental component of cloud-native computing, with the deployment of containers and the balancing of loads on virtual machines representing significant challenges. This paper presents an optimization strategy for container deployment that consists of two stages: coarse-grained and fine-grained load balancing. In the initial stage, a greedy algorithm is employed for coarse-grained deployment, facilitating the distribution of container services across virtual machines in a balanced manner based on resource requests.

Effects of spectral manipulations of music mixes on musical scene analysis abilities of hearing-impaired listeners.

Music pre-processing methods are currently becoming a recognized area of research with the goal of making music more accessible to listeners with a hearing impairment. Our previous study showed that hearing-impaired listeners preferred spectrally manipulated multi-track mixes. Nevertheless, the acoustical basis of mixing for hearing-impaired listeners remains poorly understood.

Transient Directing Group-Assisted Palladium-Catalyzed C4-Alkynylation of Indoles.

Pd-catalyzed C4-selective alkynylation of indoles was established by employing glycine as a transient directing group. This reaction exhibits high regioselectivity with the tolerance of a wide scope of functional groups to afford diverse alkynylated indoles in moderate to good yields. Moreover, the readily accessible scale-up synthesis and further decorations to achieve multifunctionalized indoles demonstrate the synthetic potential of this protocol.

Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly.

Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-assembling nanomedicines, employing physiochemical parameters to predict formation via machine learning.

Covalent Grafting of Graphene Quantum Dots onto Stepped TiO-Mediated Electronic Modulation for Electrocatalytic Hydrogen Evolution.

The interaction between electrocatalytic active centers and their support is essential to the electrocatalytic performance, which could regulate the electronic structure of the metal centers but requires precise design. Herein, we report on covalent grafting of graphene quantum dots (GQDs) on stepped TiO as a support to anchoring cobalt phosphide nanoparticles (CoP/GQD/S-TiO) for electrocatalytic hydrogen evolution reaction (HER). The covalent ester bonds between GQDs and TiO endow enlarged anchoring sites to achieve highly dispersed electroactive CoP nanoparticles but, more importantly, provide an efficient electron-transfer pathway from TiO to GQDs which could regulate the electronic structure of CoP.

The Building Blocks for Successful Hub Implementation for Migrant and Refugee Families and Their Children in the First 2000 Days of Life.

Background And Objective: Migrant and refugee women, families, and their children can experience significant language, cultural, and psychosocial barriers to engage with child and family services. Integrated child and family health Hubs are increasingly promoted as a potential solution to address access barriers; however, there is scant literature on how to best implement them with migrant and refugee populations. Our aim was to explore with service providers and consumers the barriers, enablers, and experiences with Hubs and the resulting building blocks required for acceptable Hub implementation for migrant and refugee families.

Prognostic value of tumor-infiltrating lymphocyte subtypes and microorganisms in triple-negative breast cancer.

Tumor-infiltrating lymphocytes (TILs) are key components of the tumor microenvironment (TME) and serve as prognostic markers for breast cancer. Patients with high TIL infiltration generally experience better clinical outcomes and extended survival compared to those with low TIL infiltration. However, as the TME is highly complex and TIL subtypes perform distinct biological functions, TILs may only provide an approximate indication of tumor immune status, potentially leading to biased prognostic results.

Microbial-induced Synthesis of nano NiFe LDH for High-efficiency Oxygen Evolution.

NiFe layered double hydroxide (LDH) currently are the most efficient catalysts for the oxygen evolution reaction (OER) in alkaline environments. However, the development of high-performance low cost OER electrocatalysts using straightforward strategies remains a significant challenge. In this study, we describe an innovative microbial mineralization-based method for in situ-induced preparation of NiFe LDH nanosheets loaded on nickel foam and demonstrate that this material serves as an efficient oxygen evolution electrocatalyst.

Geophysical and geochemical characterization of Odogbo Dumpsite, Ijebu Ijesa, Southwestern Nigeria.

Due to incessant contamination of the groundwater system near the dumpsite in southwestern Nigeria Basement Complex, this study seeks to evaluate the impact of the Odogbo dumpsite on the local groundwater system by integrating geophysical and geochemical methodologies. Aeromagnetic data covering the study area was acquired, processed, and enhanced to delineate basement features that could potentially be passing plumes to the groundwater system. Concurrently, geoelectric methods using 2-D dipole-dipole imaging and vertical electrical sounding (VES) were utilized to characterize the vulnerability indices of the lithologies underlying the dumpsite.

The Impact of Exercise Training on Psychological Outcomes, Body Composition, and Quality of Life in Overweight or Obese Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Overweight and obesity are associated with adverse psychological outcomes, compromised body composition, and reduced quality of life (QoL). While exercise training has been proposed as an effective intervention, its impact on these outcomes remains unclear. This systematic review and meta-analysis evaluated the effects of exercise training on psychological outcomes, body composition, and QoL in overweight or obese adults.

On the integral upper limit in the Laplace transform formulation for evaluating the half-space Green's function over an extended reacting plane.

Th e Laplace transform formulation proposed by Di and Gilbert [J. Acoust. Soc.

Pd-catalyzed Asymmetric Hydrogenolysis Rearrangement of Allylic Esters to Access Axially Chiral Olefins.

The Pd-catalyzed asymmetric hydrogenolysis rearrangement of allylic acetates using (s-Bu)3BHK has been described, achieving the synthesis of axially chiral alkylidene cycloalkanes with excellent enantioselectivities (up to 99% ee) and a wide substrate scope (30 examples of cyclohexanes and cyclobutanes). To the best of our knowledge, this is the first time to achieve synthesis of axially chiral olefins via asymmetric hydrogenolysis of allylic acetates. This methodology not only offers a novel synthetic pathway for non-atropisomeric axially chiral structures but also highlights the potential of asymmetric hydrogenolysis as a powerful tool in synthetic organic chemistry.

Enhanced Light Transmittance of Electron Transport Layer through Bilayer SnO2 for High-Performance Semitransparent Perovskite Solar Cells.

Semitransparent perovskite solar cells (ST-PSCs) for building-integrated photovoltaics (BIPV) face the challenge of achieving high efficiency due to significant light loss. The SnO2 electron transport layer (ETL), utilized in n-i-p PSCs and prepared via the sol-gel method, is susceptible to aggregation on substrate, resulting in light scattering that diminishes absorption of the perovskite layer. In this study, we propose a strategy that combines atomic layer deposition (ALD) and sol-gel solution to deposit a bilayer SnO2 structure to address these issues.

Correction: Chen et al. Aerogels Based on Reduced Graphene Oxide/Cellulose Composites: Preparation and Vapour Sensing Abilities. 2020, , 1729.

In the original publication [...

Electrocatalytic and Photocatalytic N Fixation Using Carbon Catalysts.

Carbon catalysts have shown promise as an alternative to the currently available energy-intensive approaches for nitrogen fixation (NF) to urea, NH, or related nitrogenous compounds. The primary challenges for NF are the natural inertia of nitrogenous molecules and the competitive hydrogen evolution reaction (HER). Recently, carbon-based materials have made significant progress due to their tunable electronic structure and ease of defect formation.

Nonlinear Optics in Two-Dimensional Magnetic Materials: Advancements and Opportunities.

Nonlinear optics, a critical branch of modern optics, presents unique potential in the study of two-dimensional (2D) magnetic materials. These materials, characterized by their ultra-thin geometry, long-range magnetic order, and diverse electronic properties, serve as an exceptional platform for exploring nonlinear optical effects. Under strong light fields, 2D magnetic materials exhibit significant nonlinear optical responses, enabling advancements in novel optoelectronic devices.

Study of Thermal Effects in Fused-Tapered Pure Passive Fibers and Signal Combiners.

This paper investigates the thermal effects in fused-tapered passive optical fibers under near-infrared absorption. The thermal effect is primarily caused by impurities, such as OH-, which absorb incident light and generate heat. Using the finite element method, the volume changes during fiber tapering were simulated, influencing power density and thermal distribution.

A Magnetic Photocatalytic Composite Derived from Waste Rice Noodle and Red Mud.

This study is the first to convert two waste materials, waste rice noodles (WRN) and red mud (RM), into a low-cost, high-value magnetic photocatalytic composite. WRN was processed via a hydrothermal method to produce a solution containing carbon quantum dots (CQDs). Simultaneously, RM was dissolved in acid to form a Fe ion-rich solution, which was subsequently mixed with the CQDs solution and underwent hydrothermal treatment.

Iron Oxide Nanoparticle-Based T Contrast Agents for Magnetic Resonance Imaging: A Review.

This review highlights recent progress in utilizing iron oxide nanoparticles (IONPs) as a safer alternative to gadolinium-based contrast agents (GBCAs) for magnetic resonance imaging (MRI). It consolidates findings from multiple studies, discussing current T contrast agents (CAs), the synthesis techniques for IONPs, the theoretical principles for designing IONP-based MRI CAs, and the key factors that impact their T contrast efficacy, such as nanoparticle size, morphology, surface modifications, valence states, and oxygen vacancies. Furthermore, we summarize current strategies to achieve IONP-based responsive CAs, including self-assembly/disassembly and distance adjustment.