The correction of thermodynamic data published in Journal of Hazardous Materials 461 (2024) 132464.

The dissemination of scientific knowledge depends on the ability of the authors, reviewers and publishers to provide available information and data to readers and mistakes, if not discovered, it will affect the academic quality of the paper. Recently, Liu et al. published an important academic paper that investigated the adsorption behavior of thiram by four common types of microplastics (MPs) and its hazardous change after that adsorption.

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses.

Anthropogenic activities, particularly land use change and management practices, alter the global nitrogen (N) cycle. As a central part of the global N cycle, soil N supply from net N mineralization (NNM) and net nitrification (NN) contributes to over 50% of crop N uptake. However, how global land use changes impact soil N supply and potential N loss remains elusive.

Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model.

Aiming to enable intelligent vehicles to achieve autonomous charging under low-battery conditions, this paper presents a navigation system for autonomous charging that integrates an improved bidirectional A* algorithm for path planning and an optimized YOLOv11n model for visual recognition. The system utilizes the improved bidirectional A* algorithm to generate collision-free paths from the starting point to the charging area, dynamically adjusting the heuristic function by combining node-target distance and search iterations to optimize bidirectional search weights, pruning expanded nodes via a greedy strategy and smoothing paths into cubic Bézier curves for practical vehicle motion. For precise localization of charging areas and piles, the YOLOv11n model is enhanced with a CAFMFusion mechanism to bridge semantic gaps between shallow and deep features, enabling effective local-global feature fusion and improving detection accuracy.

Text Typing Using Blink-to-Alphabet Tree for Patients with Neuro-Locomotor Disabilities.

Lou Gehrig's disease, also known as ALS, is a progressive neurodegenerative condition that weakens muscles and can lead to paralysis as it progresses. For patients with severe paralysis, eye-tracking devices such as eye mouse enable communication. However, the equipment is expensive, and the calibration process is very difficult and frustrating for patients to use.

Placental Pathology in Obstetric Antiphospholipid Syndrome Beyond Thrombosis: A Case Report and Literature Review.

: Antiphospholipid syndrome (APS) is one of the highest risk factors for obstetric complications. This article contains a case report of a patient with obstetric APS who experienced fetal loss during their first pregnancy and experienced a successful second pregnancy upon treatment with acetylsalicylic acid (ASA), low-molecular-weight heparin (LMWH), and hydroxychloroquine (HCQ). We compare placental pathology in these two pregnancies and discuss the impact of antiphospholipid antibodies and clinical management on pregnancy outcomes.

Mitigation of Cadmium and Copper Stress in Lettuce: The Role of Biochar on Metal Uptake, Oxidative Stress, and Yield.

Biochar has emerged as a promising soil amendment for mitigating heavy metal contamination in agricultural systems. This study investigates the effects of biochar on cadmium (Cd) and copper (Cu) uptake, plant growth, oxidative stress, and physiological responses in lettuce ( L.) plants exposed to different metal concentrations.

Fine-Tuning Models for Histopathological Classification of Colorectal Cancer.

This study aims to design and evaluate transfer learning strategies that fine-tune multiple pre-trained convolutional neural network architectures based on their characteristics to improve the accuracy and generalizability of colorectal cancer histopathological image classification. The application of transfer learning with pre-trained models on specialized and multiple datasets is proposed, where the proposed models, CRCHistoDense, CRCHistoIncep, and CRCHistoXcep, are algorithmically fine-tuned at varying depths to improve the performance of colorectal cancer classification. These models were applied to datasets of 10,613 images from public and private repositories, external sources, and unseen data.

An improved mathematical model for hypothetical oil reservoir for optimum oil recovery using magnetic nanomaterials.

In the oil and gas industry, enhanced oil recovery (EOR) strategies for unconventional reservoirs, characterized by complex geometries, differ significantly from those used in conventional reservoirs. This research focuses on the impact of 3D hexagonal prism geometries on EOR in hypothetical oil reservoirs using silicon dioxide (SiO₂) magnetic nanoparticles under liquid-phase flow conditions, a topic not extensively explored in existing literature. We developed an improved magnetohydrodynamic (MHD) mathematical models to simulate oil recovery processes in these geometries, using ANSYS Fluent for finite volume analysis.

Surgical advances in the treatment of Alzheimer's disease: A comprehensive review.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, represents a significant global health challenge with profound implications for patients and their families. Despite decades of intensive research efforts, no curative treatment for AD currently exists. In recent years, surgical interventions have emerged as a promising therapeutic avenue, offering potential for disease modification and symptom management.

Equitable access to COVID-19 vaccines in Botswana: a scoping review.

Introduction: Despite global market complexities, Botswana acquired about 2.6 million COVID-19 vaccine doses between March 2021 and March 2022, 76% of which were purchased while 24% were donations. Thus, the study was envisaged to aggregate evidence on the case of Botswana's COVID-19 vaccine access patterns, hesitancy, and uptake.

Double spinal dural arteriovenous fistula with multiple draining veins: A case report.

Rationale: Spinal dural arteriovenous fistulas (SDAVFs) are acquired arteriovenous shunts that occurs in the layers of the dura. Double-level SDAVFs with multiple draining veins are extremely rare. We present a rare case of double-level SDAVFs with multiple draining veins which was successfully managed in our hybrid theater.

Comprehensive evaluation of impact strength and microstructural characteristics of geopolymer concrete reinforced with four types of natural fibers of varying lengths.

This study systematically studied the impact strength of Geopolymer concrete (GC) integrating fly ash, slag, and silica fume, reinforced with four natural fibers including sisal, jute, coir, and flax at varying aspect ratios. The primary objectives are to analyze the influence of fiber length on initial cracking number (J1), failure number (J2), crack-bridging mechanisms, and failure modes under impact loading. This study presents a unique contribution by thoroughly examining the impact of fiber aspect ratio in multi-binder GC, offering critical insights into optimizing fibrous GC for improved structural performance and resilience.

Hydration properties of belite cement prepared by lime-hydrothermal treatment of Saudi basaltic volcanic ash and glass.

In this study, lime, volcanic ash, glass, and OPC were used to prepare belite, belite/OPC blended, and volcanic ash/OPC blended cements. The hydrothermal treatment of volcanic ash/lime mixes at 190 °C for 3.5 h followed by calcination at 600 °C for 3 h.

Sustainable DNA-polysaccharide hydrogels as recyclable bioplastics.

Traditional petrochemical-derived plastics are challenging to recycle and degrade, and the existing (re)process methods are organic solvent-based and/or energy-intensive, resulting in significant environmental contamination and greenhouse gas emissions. This study presents a sustainable bioplastic material characterized by multi-closed-loop recyclability and water (re)processability. The bioplastics are derived from abundant polysaccharide sources of dextran, alginic acid, carboxymethyl cellulose, and DNA of plant and living organism waste.

Efficacy and Safety of Radiotherapy and Systemic Treatments in Adrenocortical Carcinoma: Systematic Review and Meta-Analysis.

Context: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with a high recurrence and mortality rate even after complete resection. Therefore, intensification of adjuvant therapies is crucial, though their effectiveness remains controversial.

Objective: This study aimed to determine the efficacy and safety of available treatments by considering the prognostic factors affecting disease outcomes.

Finite-Temperature Quantum Topological Order in Three Dimensions.

We identify a three-dimensional system that exhibits long-range entanglement at sufficiently small but nonzero temperature-it therefore constitutes a quantum topological order at finite temperature. The model of interest is known as the fermionic toric code, a variant of the usual 3D toric code, which admits emergent fermionic pointlike excitations. The fermionic toric code, importantly, possesses an anomalous two-form symmetry, associated with the spacelike Wilson loops of the fermionic excitations.

Improving early childhood nutrition practices through parents' evening forums in rural Rwanda.

Objective: This study aimed to evaluate early childhood nutrition knowledge and practices in Gicumbi District, Rwanda, and assess the potential of parents' evening forums as platforms for community-based nutrition education.

Design: This study employed a mixed-methods design incorporating structured questionnaires (quantitative) and focus group discussions and interviews (qualitative). Quantitative data were analysed using descriptive statistics and Spearman's rank correlation to explore associations among participation, knowledge application and access barriers.

Understanding the role of toggle genes in chronic lymphocytic leukemia proliferation.

Cancer cell populations, such as chronic lymphocytic leukemia (CLL), are characterized by aberrant proliferation and plasticity: cells may switch between states so increasing population heterogeneity. Previous works have shown that gene expression noise can impact cell-state transition. To gain better insights into transcriptome-wide expression dynamics and the effect of noise on state transition, here we investigate RNA-Seq data of proliferative (PC) and non-proliferative (NPC) CLL cells.

Reward boosts cognitive control during working memory maintenance.

Working memory (WM) involves short-term maintenance and manipulation of goal-relevant information, with cognitive control playing a crucial role in these processes due to WM's limited capacity. Pupillometry studies show distinct pupillary changes for WM stages, reflecting cognitive effort and load. Motivational incentives enhance WM performance by potentially improving encoding, maintenance, or retrieval, though the specific components influenced by reward remain unclear.

Comparison of lipophilic and size-exclusion membranes: the effect of stirring and cyclodextrin in the donor compartment.

Background And Purpose: The effective transport of an active pharmaceutical ingredient across various membrane systems is critical for enhancing its bioavailability, especially in formulations involving solubilizing agents. This study aims to investigate the permeability differences of carvedilol (CAR) between lipophilic and size-exclusion membranes in the presence of hydroxypropyl-beta-cyclodextrin (HP-β-CD) using side-by-side diffusion cell assays.

Experimental Approach: Solubility and permeability assays confirmed that HP-β-CD significantly enhanced the solubility of CAR, while simultaneously decreasing its permeability, indicating an interplay between the two parameters.

Influence of Orange Oil on Skin Permeability, Dermatokinetics, and In Vivo Anti-inflammatory Properties of Lornoxicam-loaded Niosomal Gel.

Introduction: Lornoxicam is a non-steroidal anti-inflammatory drug belonging to the oxicam class. This study aimed to develop a niosomal gel containing orange oil for improving the anti-inflam-matory effect of lornoxicam.

Methods: Lornoxicam-loaded niosomes (LOR-OR-NIO) were prepared using film hydration followed by the sonication method.

Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches.

Accurately predicting energy consumption in electric vehicles (EVs) is essential for enhancing energy efficiency and improving infrastructure planning. However, this task remains challenging due to the complex interplay of driving conditions, vehicle specifications, and environmental factors. This study proposes a novel data-driven approach that utilizes machine learning (ML) techniques, supported by an extensive real-world dataset derived from Colorado.

Investigating the Effects of a High-Load Resistance Training Program on Bone Health in Wheelchair Users (the BoneWheel Study): Protocol for a Randomized Controlled Trial.

Background: Low mechanical loading of the bones of wheelchair users leads to low bone mineral density (BMD) and increased risk of bone fractures and associated complications. High-load resistance training of the upper body is one way to achieve mechanical loading of the lumbar spine and the hip bones. In addition, maintaining good nutritional status with key nutrients for bone remodeling, that is, vitamin D and calcium, is important for bone accrual.

Analysis of Perfluoroalkyl Substances (PFASs) in Settled Dust by Liquid Chromatography with Tandem Mass Spectrometry: Method Validation and Application to Vietnamese House and Road Dusts.

Information about perfluoroalkyl substances (PFASs) like perfluoroalkyl carboxylic acids (PFCAs) and sulfonates (PFSs) in settled dust from emerging and developing countries is still limited, partly due to the lack of efficient analytical methods. In this study, a reliable, simple, and cost-effective analytical procedure was developed and validated to determine 12 PFCAs and 4 PFSs in dust samples. The samples were ultrasonicated with methanol, followed by a dispersive sorbent clean-up step with graphitized carbon and quantification by liquid chromatography with tandem mass spectrometry (LC-MS/MS) method.

Architectural Design Features in High Density Urban Residential Estates and Their Role in Mosquito Incidence in Singapore.

Existing research has established building age as a dominant urban factor influencing mosquito incidence in Singapore, which presents a problem for vector-borne diseases like Dengue. However, in-depth research understanding this relationship has yet to be conducted. This paper explores the correlation between detailed building design features and female Aedes Aegypti mosquito counts, applied to a novel dataset of 400 high-rise residential buildings representing a nationally representative sample.