Stability and Rheological Properties of Grouts with Waste Glass Powder as Cement Replacement: Influences of Content and Alkali Activator.

Effective recycling and utilization of waste glass is a critical issue that urgently needs to be addressed. This study aims to explore the feasibility of using ground waste glass powder (particle size ≤ 75 μm) as a supplementary cementitious material to partially replace cement in the preparation of low-carbon and environmentally friendly grouting materials. The research systematically evaluates the impact of waste glass powder (WGP) on the fresh properties (particularly the stability and rheological characteristics) of cement-based grouting materials under various conditions, including WGP content (0-40%), the addition of NaOH activator (NaO content of 4%) or not, and water-solid ratio (/ 0.

Planar Two-Dimensional Vibration Isolator Based on Compliant Mechanisms.

In practical engineering applications, the vibration is often generated in various directions and can be harmful to the engineering equipment. Thus, it is necessary to develop vibration isolators that can reduce vibration in multiple directions. In this paper, we propose a planar two-dimensional vibration isolator based on compliant mechanisms.

Cyanamide-Based Cyclization Reactions for Nitrogen-Containing Heterocycles Synthesis.

Nitrogen-containing heterocycles, such as indoles and quinolines, serve as the key scaffolds in numerous pharmaceuticals, pesticides, and natural products. The synthesis methods of nitrogen-containing heterocycles show significant scientific and industrial value. As a chemical intermediate featuring dual functional groups, cyanamide plays a crucial role in organic synthesis, directly affecting the development of new drugs and the design of new materials.

Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach.

In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus inpatients admitted to Yueyang People's Hospital from May 2019 to October 2022, of which 95 cases of hydrocephalus occurred after ICH and no hydrocephalus in 749 cases. The following indicators were compared between the two groups of patients: gender, age, Glasgow Coma Scale(GCS)score, whether the amount of bleeding was greater than 30 ml, whether it broke into the ventricle or not, modified Graeb score(MGS), modified Rankin Scale (MRS) score, whether surgery was performed or not, red blood cells, white blood cells, and platelets. After variable screening, the following six variables were selected: GCS score, MGS, MRS score, whether the bleeding volume was greater than 30 ml, whether it broke into the ventricle or not, and whether surgery was performed or not were modelled and analysed using logistic regression model and support vector machine model in machine learning.

A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques.

Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high computational demands hinder their practical use in clinical environments.

Objective: This study aims to address the computational inefficiencies of deep neural networks by proposing a lightweight model that integrates model compression techniques, ConvLSTM layers, and ConvNext Blocks, all optimized through Knowledge Distillation (KD).

Pt@ZnCoO Microspheres as Peroxidase Mimics: Enhanced Catalytic Activity and Application for L-Cysteine Detection.

Compared to natural enzymes, the development of efficient artificial simulated enzymes, such as those based on bimetallic materials with high catalytic activity and good stability, is an important way until now. Herein, we employed ZnCoO microspheres as carriers to synthesize Pt-doped composites with different amounts using a one-pot method. The morphology and structure of the synthesized materials were characterized using XRD, SEM, BET, FT-IR, XPS, and Zeta potential techniques.

On-site visual quantification of alkaline phosphatase activity in cells using a smartphone-based approach.

Alkaline phosphatase (ALP) is a critical biomarker associated with various physiological and pathological processes, making its detection essential for disease diagnosis and biomedical research. In this study, we developed a novel, simple, and portable visual quantification method for ALP activity in cells using an efficient CuZnS nanomaterial with peroxidase-like properties, integrated into a smartphone-based platform for enhanced usability. The CuZnS nanomaterial catalyzes the breakdown of H₂O₂, generating ·OH radicals that oxidize the colorless substrate TMB into blue oxTMB, which is subsequently reduced back to TMB by ascorbic acid (AA).

A class of n-D Hamiltonian conservative chaotic systems with three-terminal memristor: Modeling, dynamical analysis, and FPGA implementation.

Memristors are commonly used to introduce various chaotic systems and can be used to enhance their chaotic characteristics. However, due to the strict construction conditions of Hamiltonian systems, there has been limited research on the development of memristive Hamiltonian conservative chaotic systems (MHCCSs). In this work, a method for constructing three-terminal memristors is proposed, and the three-terminal memristors are incorporated into the Hamiltonian system, resulting in the development of a class of n-D MHCCS.

A Time-Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen.

Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. Traditional machine learning techniques rely heavily on feature extraction, where weak feature extraction can lead to suboptimal features and poor classification performance. In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process.

Tumor-microenvironment-mediated second near-infrared light activation multifunctional cascade nanoenzyme for self-replenishing O/HO multimodal tumor therapy.

Developing a catalytic nanoenzyme activated by the tumor microenvironment (TME) shows excellent potential for in situ cancer treatment. However, the rational design of a cascade procedure to achieve high therapeutic efficiency remains challenging. In this study, the colorectal TME-responsive multifunctional cascade nanoenzyme CuO@MnO@glucose oxidase (GOx)@hyaluronic acid (HA) was developed to target in situ cancer starvation/chemodynamic therapy (CDT)/photothermal therapy (PTT).

Tumor detection on bronchoscopic images by unsupervised learning.

The diagnosis and early identification of intratracheal tumors relies on the experience of the operators and the specialists. Operations by physicians with insufficient experience may lead to misdiagnosis or misjudgment of tumors. To address this issue, a datasets for intratracheal tumor detection has been constructed to simulate the diagnostic level of experienced specialists, and a Knowledge Distillation-based Memory Feature Unsupervised Anomaly Detection (KD-MFAD) model was proposed to learn from this simulated experience.

Crowd counting in domain generalization based on multi-scale attention and hierarchy level enhancement.

In order to solve the problem of weak single domain generalization ability in existing crowd counting methods, this study proposes a new crowd counting framework called Multi-scale Attention and Hierarchy level Enhancement (MAHE). Firstly, the model can focus on both the detailed features and the macro information of structural position changes through the fusion of channel attention and spatial attention. Secondly, the addition of multi-head attention feature module facilitates the model's capacity to effectively capture complex dependency relationships between sequence elements.

Buried interface engineering towards stable zinc anodes for high-performance aqueous zinc-ion batteries.

The dendrite and corrosion issues still remain for zinc anodes. Interface modification of anodes has been widely used for stabilizing zinc anodes. However, it is still quite challenging for such modification to simultaneously suppress zinc dendrites and corrosion issues.

The synergistic effect induced by "Z-bond" between cations and anions achieving a highly reversible zinc anode.

Due to their high energy density, low cost, and environmental friendliness, aqueous zinc-ion batteries are considered a potential alternative to Li-ion batteries. However, dendrite growth and parasitic reactions of water molecules limit their practical applications. Herein, an ionic liquid additive, 1-butyl-3-methylimidazolium Bis(fluorosulfonyl)imide (BMImFSI), is introduced to regulate the electrical double layer (EDL).

Integrated approach for cellulosic ethanol and succinic acid production: Gamma valerolactone-based pretreatment and co-fermentation of peanut shells.

The inability to utilize pentose poses as a significant limitation to the production of cellulosic ethanol. To attain efficient raw material conversion and mitigate carbon dioxide emissions during cellulosic ethanol synthesis, a integrated approach focused on the co-processing of ethanol and succinic acid (SA) from peanut shells was proposed. The results demonstrated that the GVL system, containing 30 % water and catalyzed by dilute sulfuric acid, exhibited remarkable efficiency in pretreatment, boosting glucose yield sixfold relative to the untreated raw material.

Development and Application of Flue Gas Desulfurized Gypsum and Blast-Furnace-Slag-Based Grouting Material for Cracked Silty Mudstone.

The grouting technique is an efficient method for enhancing the stability of cracked slopes through the use of grouting materials. Conventional cement-based grouting materials are costly, energy-intensive, and environmentally damaging. Additionally, cement-hardening slurry is prone to cracks between the slurry and the rock.

The Distributions and Dependences of 3D Particle Morphology Characteristics for Crushed and Natural Sands by X-Ray uCT Investigations.

The morphology of an individual particulate refers to its shape characteristics and size properties, which both play important roles for granular matter in physics, mechanics, chemistry, and biology. In this study, ellipsoidality is defined as a 3D shape index for evaluating particle roundness, and an explicit calculation method is applied. The dependences of 3D shape characteristics (aspect ratios, sphericity, and ellipsoidal degree) on particle size (ranges from 0.

Enhanced Optoelectronic Performance and Polarized Sensitivity in WSe Nanoscrolls Through Quasi-One-Dimensional Structure.

Transition metal dichalcogenides (TMDs), such as tungsten diselenide (WSe), are expected to be used in next-generation optoelectronic devices due to their unique properties. In this study, we developed a simple method of using ethanol to scroll monolayer WSe nanosheets into nanoscrolls. These nanoscrolls have a quasi-one-dimensional structure, which enhances their electronic and optical properties.

Self-template manufacturing of on-skin electrodes with 3D multi-channel structure for standard 3-limb-lead ECG suit.

Wearable electrocardiogram (ECG) devices are the mainstream technology in the diagnosis of various cardiovascular diseases, in which soft, flexible, permeable electrodes are the key link in human-machine interface to capture bioelectrical signals. Herein, we propose a self-template strategy to fabricate silver-coated fiber/silicone (AgCF-S) electrodes. With a simple dissolving-curing-redissolving process, the polyvinyl acetate shell around the AgCF core is in-situ removed to form a three-dimensional (3D) multi-channel structure.

Isolation of salt-tolerant Vibrio alginolyticus X511 for efficient co-production of 2,3-butanediol and alginate lyase from Laminaria japonica.

In order to establish an efficient microbial transformation platform based on seaweed feedstocks, experiments were performed to isolate a salt-tolerant strain capable of producing alginate lyase and 2,3-butanediol (2,3-BDO). Its physiological and biochemical characteristics, carbon source utilization, and product synthesis capabilities were investigated, and then the process for co-producing alginate lyase and 2,3-BDO from Laminaria japonica was optimized. Results showed that the isolated strain was identified as Vibrio alginolyticus, which was capable of utilizing multiple carbon sources to produce alginate lyase and 2,3-BDO even in the presence of 5 % NaCl.

Multifunctional Conjugated Polyphenol "Bridge" Capped the Upper Interface of Highly Efficient and Stable Inorganic Perovskite Solar Cells Fabricated in Air.

Carbon-based all-inorganic perovskite solar cells (C-PSCs) are promising alternatives compared with conventional organic-inorganic halide PSCs because of their good thermal stability. However, low carrier transport efficiency and energy level mismatch of the upper interface of the device limit the further improvement of power conversion efficiency (PCE), and all-inorganic perovskites are extremely sensitive to oxygen and humidity, which seriously damages the long-term stability of the device. Upper interface modification is an effective solution to improve the PCE and the stability of devices.

Effects of rolling on eating quality, starch structure, and water distribution in cooked indica rice dough.

Background: Given the composition of rice and its lack of gluten proteins, rice flour fails to form a cohesive and elastic dough when mixed directly with water. Consequently, many rice products rely on rice sheets (RS) made by rolling cooked rice dough. Limited research exists on how the rolling process impacts the properties and structure of cooked indica rice dough.