CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases.

U-Net has been demonstrated to be effective for the task of medical image segmentation. Additionally, integrating attention mechanism into U-Net has been shown to yield significant benefits. The Shape Attentive U-Net (SAUNet) is one such recently proposed attention U-Net that also focuses on interpretability.

The role of molecular biomarkers in the diagnosis, prognosis, and treatment stratification of oral squamous cell carcinoma: A comprehensive review.

One of the most common cancers targeting the area of the head and neck is oral squamous cell carcinoma (OSCC), carrying a heavy global health cost. With a high incidence of metastasis and recurrence, the outlook for OSCC remains dismal despite advancements in treatment. This has sparked an investigation into molecular biomarkers, which have the potential to improve early diagnosis, forecast patient outcomes, and direct therapeutic approaches.

IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT.

In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. A lung tumour, one of the most dangerous medical diseases, requires early diagnosis with a higher precision rate. With that concern, this work aims to develop an Integrated Model (IM- LTS) for Lung Tumor Segmentation using Neural Networks (NN) and the Internet of Medical Things (IoMT).

Clinicopathological Analysis and Its Correlation With Various Classes of Lupus Nephritis.

Background and objectives Systemic lupus erythematosus (SLE) is a complex autoimmune disorder characterized by chronic immune complex deposition and involvement of multiple organ systems. Among individuals with SLE, a greater percentage are at a higher risk of developing lupus nephritis (LN). Renal biopsies play a pivotal role in diagnosing, managing, and predicting the prognosis of LN.

Enhancing light harvesting in bilayered dye-sensitized solar cells by tailoring light scattering with electrospun TiO nanofibers.

Dye-sensitised solar cells (DSCs) possess promising features such as high performance under low-light conditions, cost-effectiveness, and adaptability in contrast to conventional silicon-based solar cells. Introducing a scattering layer has been reported to be one of the most effective and economical solutions for improving the efficiency of DSCs. In this regard, various one-dimensional nanostructures have been applied to DSCs to enhance its light scattering property and improve electron transport, thereby achieving a better lifetime.

Incentives in prescribing, dispensing and pharmaceutical spending: A scientometric mapping.

Introduction: Health systems worldwide are struggling to ensure the affordability of medicines. Prescription, dispensing, and pharmaceutical expenditures are key variables that highlight the need to understand how global scientific evidence is generated against factors (implicit and non-explicit) that influence these variables.

Objectives: Explore and provide a detailed description of the characteristics of the global scientific production of Open Access articles related to the prescription, dispensing and pharmaceutical expenditure faced by health systems worldwide.

Design and Analysis of Wideband Single-Layer Reflectarray Antenna for Remote Sensing and Environmental Monitoring.

In this article, a wideband single-layer reflectarray antenna for Ku-band applications is presented. The proposed reflectarray antenna is suitable for applications such as fixed satellite service (FSS), broadcasting satellite service (BSS), earth exploration satellite service (EESS), remote sensing, and environmental monitoring. The developed single element of the proposed reflectarray antenna is made up of a horizontal strip, discrete vertical strips of varying sizes, and circular structures.

Justice-centered best practices for accessibility to public buildings in a tier II city: Insights from a Delphi expert consensus.

Background: Despite beneficial progress in policies, awareness and advocacy, accessibility gaps exist in public buildings in India. Challenges achieving full inclusivity still exist, due to a lack of clear guidance for implementing accessible solutions. Retrofitting older buildings, particularly in developing tier II cities is a major challenge.

Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm.

Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. This research proposes a new hybrid approach called QIFABC (Hybrid Quantum-Inspired Firefly and Artificial Bee Colony Algorithm), which combines the Quantum-Inspired Firefly Algorithm (QIFA) with the Artificial Bee Colony (ABC) method to enhance feature selection for a multi-pose facial expression recognition system.

Assessment of maternal knowledge on neonatal danger signs.

Maternal knowledge of neonatal danger signs and subsequent healthcare-seeking behaviors are critical for early intervention and reducing neonatal mortality. This study aimed to assess these factors among mothers attending the Immunization Centre at KMCH Hospital, Coimbatore. A quantitative approach with a descriptive design was employed.

Spontaneous Bacterial Peritonitis: Etiology, Microbiology, and Clinical Outcomes in Cirrhosis Patients.

Objective: Spontaneous bacterial peritonitis (SBP) is a critical complication in patients with liver cirrhosis, often resulting in high mortality. Understanding the microbiological agents causing SBP and their antibiotic resistance patterns is essential for effective treatment, particularly in tertiary care settings. This prospective observational study aimed to identify the microbial profile of SBP, evaluate antibiotic sensitivity, and assess patient outcomes.

DANNET: deep attention neural network for efficient ear identification in biometrics.

Biometric identification, particularly ear biometrics, has gained prominence amidst the global prevalence of mask-wearing, exacerbated by the COVID-19 outbreak. This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. Despite numerous proposed convolutional neural network (CNN) based deep learning techniques for ear detection, achieving the expected efficiency and accuracy remains a challenge.

The nucleolin antagonist N6L and paclitaxel combination treatment could be a new promising therapeutic strategy for pancreatic ductal adenocarcinoma therapy.

Pancreatic cancer (PCa) is one of the most devastating cancers with few clinical signs and no truly effective therapy. In recent years, our team has demonstrated that nucleolin antagonists such as N6L could be a therapeutic alternative for this disease. In order to study a possible clinic development of N6L (multivalent pseudopeptide), we undertook to study the effect of combination of N6L with chemotherapies classically used for PCa on the survival of pancreatic cancer cells.

Obturation of Simulated Internal Resorption Cavities With Four Different Techniques and a Hydraulic Root Canal Sealer: A Comparative Stereomicroscopic Evaluation.

Aim To compare the quality of obturation using WVC (warm vertical compaction), CLC (cold lateral compaction), injectable (iFill), and Thermafil (GuttaCore) techniques, along with hydraulic condensation of bioceramic (BC) sealer, and evaluating the percentage of gutta-percha (GP), sealer, and voids in simulated internal resorptive lesions, using an advanced stereomicroscope with ImageJ software (National Institutes of Health, Bethesda, MD, USA). Methods and material In this study, 40 freshly extracted maxillary incisors were collected, and endodontic instrumentation was done to working length using hand K-files. Simulated internal resorption cavities were created in the middle-apical third of the roots after horizontal sectioning and were re-cemented.

Spatial variations in urban woodland cooling between background climates.

Urban woodland composition and configuration have strong associations with land surface temperatures (LST), but the evidence is contradictory due to different spatial scales, regional climate zones, woodland types and urban contexts. In this study, we analyse associations between urban woodland and LST within and between five cities in different Köppen climate zones. Our consistent methodology is framed around local climate zones and conducted at a fine spatial scale.

A Therapeutic Approach of Chitosan-loaded p-Coumaric Acid Nanoparticles to Alleviate Diabetic Nephropathy in Wister Rats.

Objective: This study evaluated the renoprotective effects of p-Coumaric acid nanoparticles (PCNPs) in nephropathic rats.

Methods: Six groups of male Albino Wistar rats were randomly assigned. Group 1 was the control, while Group 2 received 45 mg/kg of streptozotocin (STZ) to induce diabetic nephropathy.

3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma.

Background: Current management of patients with borderline resectable pancreatic adenocarcinoma (BR-PDAC) depends on the degree of involvement of the major arterial and venous structures. The aim of this study was to evaluate 3D segmentation and printing to predict tumor size and vascular involvement of BR-PDAC to improve pre-operative planning of vascular resection and better select patients for neoadjuvant therapy.

Methods: We retrospectively evaluated 16 patients with BR-PDAC near vascular structures who underwent pancreatoduodenectomy (PD) with or without vascular resection between 2015 and 2021.

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.

The history of ankylosing spondylitis/axial spondyloarthritis - what is the driving force of new knowledge?

The history of (axial) spondyloarthritis has started several centuries ago. Since the end of the 19th century major achievements have been made. This historical review tries to show how closely the advances in clinical medicine in rheumatology have been related to advances made in basic sciences.

What happens when you turn weed management off? A long-term appraisal of the effectiveness of Pteridium aquilinum (L.) kuhn control treatments and the role of sheep grazing.

Long-term strategies are needed for the ecological restoration of land invaded by perennial weed species comprising of two parts: (1) control of the invasive species and (2) restoration of native vegetation meeting agricultural/conservation objectives. We investigated this within a statistically-rigorous, 28-year experiment at a site where Pteridium aquilinum had invaded an acid-grass/heathland. Where P.

Bifunctional NiCo-CuO Nanostructures: A Promising Catalyst for Energy Conversion and Storage.

This investigation explores the potential of co-incorporating nickel (Ni) and cobalt (Co) into copper oxide (CuO) nanostructures for bifunctional electrochemical charge storage and oxygen evolution reactions (OER). A facile wet chemical synthesis method is employed to co-incorporate Ni and Co into CuO, yielding diverse nanostructured morphologies, including rods, spheres, and flake. The X-ray diffraction (XRD) and Raman analyses confirmed the formation of NiCo-CuO nanostructure, with minor phases of nickel oxide (NiO) and cobalt tetraoxide (CoO).

Long Head of Biceps Tenodesis for Maintaining Inherent Length and Uniform Tension at the Bicipital Groove: Suprapectoral Double-Row Technique With All-Suture Anchors.

The clinicopathologic conditions of the long head of the biceps tendon vary, encompassing tendinitis, peritendinous inflammation, hypertrophy, and partial or complete tears. These symptoms are typically linked with SLAP tears and instability of the long head of the biceps tendon, often resulting in partial displacement or complete dislocation. The choice between tenotomy and tenodesis depends on varied factors.