Achieving up to 95% removal efficiency of chlorpyrifos pesticide using sugarcane bagasse-based biochar alginate beads in a continuous fixed-bed adsorption column.

Pesticide contamination in wastewater poses a significant environmental challenge, driven by extensive agricultural use. This study evaluates the removal of chlorpyrifos (CPS) using sugarcane bagasse-based biochar alginate beads in a continuous fixed-bed adsorption column, achieving a remarkable 95-98% removal efficiency. Compared to conventional adsorbents like activated carbon, which typically show CPS adsorption capacities ranging from 50 to 70 mg g⁻ under similar conditions, the biochar alginate beads demonstrate better performance with a sorption capacity of 91.

Retraction Note: Dynamic multi-variant relational scheme-based intelligent ETL framework for healthcare management.

[This retracts the article DOI: 10.1007/s00500-022-06938-8.].

Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction.

[This retracts the article DOI: 10.1007/s00500-023-08313-7.].

Nanoengineered RF-Sputtered MnO Cathode Thin Films for Aqueous Zinc-Ion Batteries: Insights into Diffusion Dynamics and Application Potential.

Manganese oxides are a promising cathode material for aqueous zinc-ion batteries (AZIBs), but thin-film configurations remain underexplored. This study investigates the electrochemical dynamics of 60 nm thin MnO thin films, fabricated via RF magnetron reactive sputtering. It addresses the highest reported capacity (25 mAh/g) in thin film form, stability over 500 cycles, effective performance across varying current rates, surpassing previous studies and challenges such as phase stability, and capacity fading over extended cycling, aiming to enhance uniformity, minimizing diffusion barriers for improved performance.

Engineering a high-throughput clone for industrial-scale production of long-acting GLP-1 analogue with retained bio-efficacy.

Type 2 diabetes mellitus (T2DM) and obesity are critical global health issues with rising incidence rates. Glucagon-like peptide-1 (GLP-1) analogues have emerged as effective treatments due to their ability to regulate blood glucose levels and gastric emptying through central nervous signals involving hypothalamic receptors, such as leptin. To address the short plasma half-life of native GLP-1, a C-16 fatty acid was conjugated to lysine in the GLP-1 analogue sequence to enhance its longevity.

An electrically conductive dinuclear aluminium complex for the fabrication of a Schottky diode.

Electrical performances of a biphenyl-derived amido Schiff base ligand L and its dinuclear Al(iii) complex (complex 1) were investigated in a metal-semiconductor (MS) junction. Electrical studies revealed that complex 1 significantly enhanced the electrical conductivity and improved the characteristics of a Schottky barrier diode (SBD). The - characteristics demonstrated that complexation of ligand L with Al(iii) ion increased the conductivity by two orders of magnitude (conductivity of L = 1.

Retraction notice to "Enhanced photocatalytic efficiencies in a bifunctional ZnO/PVA nanocomposites derived from Capparis zeylanica L." [Environ. Res. 233 (2023) 116482].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Chemical characteristics and bioactivity potential of polysaccharide extracts and purified fractions from Arctic brown macroalgae.

Macroalgae growing in the polar regions are exposed to extreme environment conditions and may induce differences in the structural and bioactive properties of their polysaccharides. Six brown macroalgae viz. kelp species - Saccharina latissima, Laminaria digitata, and Alaria esculenta; rockweed Fucus distichus; and filamentous macroalgae - Chorda filum and Chordaria flageliformis, from the Arctic were investigated for polysaccharides and their bioactivity.

CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model.

Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.

Role of Artificial Intelligence in Drug Discovery to Revolutionize the Pharmaceutical Industry: Resources, Methods and Applications.

Traditional drug discovery methods such as wet-lab testing, validations, and synthetic techniques are time-consuming and expensive. Artificial Intelligence (AI) approaches have progressed to the point where they can have a significant impact on the drug discovery process. Using massive volumes of open data, artificial intelligence methods are revolutionizing the pharmaceutical industry.

A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides.

Cell-penetrating peptides (CPPs) are highly effective at passing through eukaryotic membranes with various cargo molecules, like drugs, proteins, nucleic acids, and nanoparticles, without causing significant harm. Creating drug delivery systems with CPP is associated with cancer, genetic disorders, and diabetes due to their unique chemical properties. Wet lab experiments in drug discovery methodologies are time-consuming and expensive.

Defect state enhanced nonlinear absorption and optical limiting behaviour of erbium doped silver molybdate nanostructures.

Transition metal based optical limiting materials have garnered significant attention due their crucial role in protecting sensitive optical system from high intense laser damage. Transition metal molybdates exhibits nonlinear optical (NLO) response, which attenuate highly intense light by transmitting light of desired intensity. Herein we report Silver molybdate (AgMoO) nanostructures doped with erbium (Er) ions were successfully synthesized by simple co-precipitation technique.

Retraction notice to "A study on the role of surface functional groups of metakaolin in the removal of methylene blue: Characterization, kinetics, modeling and RSM optimization" [Environ. Res. 226 (2023) 115604].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Bibliometric Analysis of Research on Lip Prints.

Lip prints, or cheiloscopy, are unique patterns of grooves and wrinkles, gaining prominence in forensic science as reliable tools for personal identification, akin to fingerprints and DNA profiling. Advances in imaging techniques have enhanced their forensic applicability. This study conducts a bibliometric analysis to explore global research trends, key contributors, and thematic developments in lip print research.

Exploring the Anti-Adherence Potential of Skt35 to Combat Catheter-Associated Staphylococcus aureus Infections: Efficacy, Toxicity and Mechanism of Action.

Catheter-associated urinary tract infections (CAUTIs), often caused by biofilm-forming Staphylococcus aureus, present significant clinical challenges. Skt35, a dioxopiperidinamide derivative of cinnamic acid, was investigated for its potential antibacterial and antibiofilm activities against S. aureus biofilms.

Adaptive insights: dynamic assessment for speech sound intervention in a child with cleft lip and palate.

Dynamic assessment (DA) is a new approach to evaluating speech and language disorders, focusing on the learning process over static abilities. It involves a test-teach-retest format and uses the mediated learning experience (MLE) to measure a child's modifiability through intervention efforts. This method is especially relevant for children with cleft lip and palate (CLP).

Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique.

Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 in 4 deaths happens due to it. The disease prevalence rate becomes higher since there is an inadequate system/model for predicting CVD at an earliest. Diabetic Retinopathy (DR) is a kind of eye disease was associated with increasing risk factors for all-causes of CVD events.

Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.

Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time access to precise and trustworthy effluent indices is crucial. Because wastewater treatment processes are complicated, nonlinear, and time-varying, it is essential to adequately monitor critical quality indices, especially chemical oxygen demand (COD). Traditional models for predicting COD often struggle with sensitivity to parameter tuning and lack interpretability, underscoring the need for improvement in industrial wastewater treatment.

Spin transport properties in a topological insulator sandwiched between two-dimensional magnetic layers.

Non-trivial band topology along with magnetism leads to different novel quantum phases. When time-reversal symmetry is broken in three-dimensional topological insulators (TIs) through, e.g.

MoS nanoflowers surface decorated with CuS nanorods and carbon dots for fluorescent and ultrasound imaging in cancer therapy.

In recent years, the design of various ultrasound responsive echogenic nanomaterials offers many advantages such as deep tissue penetration, high signal intensity, colloidal stability, biocompatibility and less expensive for ultrasound-based cancer cell imaging while providing the option to monitor the progress of tumor volume during the treatment. Further, the ability of nanomaterials to combine photo-thermal therapy (PTT) and chemotherapy has opened a new avenue in the development of cancer theranostics for synergistic cancer therapy. Herein, we report MoS nanoflowers (NFs) surface decorated with CuS nanorods (NRs) and folic acid-derived carbon dots (FACDs) using cystine-polyethyleneimine (PEI) linker for PTT-chemotherapy.

A Literature Review on Oral Lumenoscopy: A Non-invasive Method for Diagnosing Oral Potentially Malignant Disorders.

Dentistry still faces difficulties in diagnosing oral precancer and cancer, especially when it comes to early phase changes or disease detection, evaluation, and treatment. In essence, oral lumenography is the process of identifying oral lesions using a chemiluminescent light source and a toluidine blue labeling system. Since neoplastic epithelial cells have a changed nuclear-cytoplasmic ratio, acetic acid dehydration brings out this nuclear density and gives the tissue an "acetowhite" look.

Acupuncture as a Complementary Therapy in Conservative and Endodontic Procedures: A Narrative Review.

With over two millennia of history, traditional Chinese acupuncture ranks among the most renowned forms of supplementary and other healthcare. The use of acupuncture releases endorphins and serotonin, two naturally occurring painkillers, into the nervous system and stimulates it. It also modifies how pain signals are processed and perceived.

Delineating CYP2C19-Mediated Interactions: Network Pharmacology Investigation of Ilaprazole and Clopidogrel versus Conventional Proton Pump Inhibitors.

Background: Clopidogrel, an antiplatelet drug commonly used in cardiovascular disease, is metabolized by the liver mainly through CYP2C19. Concomitant use of Proton pump inhibitors along with clopidogrel may affect the potency of clopidogrel by CYP2C19 inhibition. However, a novel PPI, ilaprazole is known to differ in its pharmacokinetic features, given the potential differences between ilaprazole's interactions and their metabolism with clopidogrel.

3T dilated inception network for enhanced autism spectrum disorder diagnosis using resting-state fMRI data.

Autism spectrum disorder (ASD) is one of the complicated neurodevelopmental disorders that impacts the daily functioning and social interactions of individuals. It includes diverse symptoms and severity levels, making it challenging to diagnose and treat efficiently. Various deep learning (DL) based methods have been developed for diagnosing ASD, which rely heavily on behavioral assessment.