Revolutionary self-powered transducing mechanism for long-lasting and stable glucose monitoring: achieving selective and sensitive bacterial endospore germination in microengineered paper-based platforms.

We introduce a groundbreaking proof-of-concept for a novel glucose monitoring transducing mechanism, marking the first demonstration of a spore-forming microbial whole-cell sensing platform. The approach uses selective and sensitive germination of Bacillus subtilis spores in response to glucose in potassium-rich bodily fluids such as sweat. As the rate of germination and the number of metabolically active germinating cells are directly proportional to glucose concentration, the electrogenic activity of these cells-manifested as electricity-serves as a self-powered transducing signal for glucose detection.

In-hospital outcomes following an acute coronary syndrome in patients with recent cannabis use.

Background: The prevalence and short-term cardiovascular consequences of recent cannabis use in patients admitted to an intensive cardiac care unit for acute coronary syndrome is not well established.

Aims: To assess the prevalence of recent cannabis use detected by prospective systematic screening, and its prognostic value in predicting the occurrence of in-hospital major adverse events in consecutive patients with acute coronary syndrome.

Methods: From 07 to 22 April 2021, all consecutive patients admitted to an intensive cardiac care unit in 39 centres throughout France were studied prospectively.

A Paper-Based Wearable Moist-Electric Generator for Sustained High-Efficiency Power Output and Enhanced Moisture Capture.

Disposable wearable electronics are valuable for diagnostic and healthcare purposes, reducing maintenance needs and enabling broad accessibility. However, integrating a reliable power supply is crucial for their advancement, but conventional power sources present significant challenges. To address that issue, a novel paper-based moist-electric generator is developed that harnesses ambient moisture for power generation.

Ten-year trends in characteristics, management and outcomes of patients admitted with cardiogenic shock in the ACTION-SHOCK cohort.

Background: The ACTION-SHOCK registry offers a decade-long perspective on patients admitted with cardiogenic shock (CS).

Aims: To assess trends in the management and outcomes of patients with CS over 10 years.

Methods: Trends in the characteristics, management and outcomes of patients with CS admitted into the cardiac intensive care unit of Pitié-Salpêtrière hospital from 2011 to 2020 were analysed.

Robust 3D object watermarking scheme using shape features for copyright protection.

This article utilizes the discrete wavelet transformation to introduce an advanced 3D object watermarking model depending on the characteristics of the object's vertices. The model entails two different phases: integration and extraction. In the integration phase, a novel technique is proposed, which embeds the secret grayscale image three times using both the encrypted pixels and the vertices' coefficients of the original 3D object.

High-capacity data hiding for medical images based on the mask-RCNN model.

This study introduces a novel approach for integrating sensitive patient information within medical images with minimal impact on their diagnostic quality. Utilizing the mask region-based convolutional neural network for identifying regions of minimal medical significance, the method embeds information using discrete cosine transform-based steganography. The focus is on embedding within "insignificant areas", determined by deep learning models, to ensure image quality and confidentiality are maintained.

Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach.

Magnetic resonance imaging is a medical imaging technique to create comprehensive images of the tissues and organs in the body. This study presents an advanced approach for storing and compressing neuroimaging informatics technology initiative files, a standard format in magnetic resonance imaging. It is designed to enhance telemedicine services by facilitating efficient and high-quality communication between healthcare practitioners and patients.

A Systematic Review and Meta-Analysis of Randomized Controlled Trials Comparing the Effects of Biguanides (Metformin) and Thiazolidinediones on Glucose Tolerance and Insulin Sensitivity in Patients With Type II Diabetes Mellitus.

Type II diabetes mellitus (T2DM) is a global epidemic affecting people of all ages in developed and developing countries. The disease is usually characterized by insulin resistance and glucose intolerance; therefore, oral antidiabetic drugs such as thiazolidinediones (TZDs) and biguanide metformin are used to counter these defects. Due to the varied action mechanisms of TZDs and Metformin, their effects on insulin sensitivity and glucose tolerance may differ.

A Primary Epithelioid Angiosarcoma Arising in a Bilharzial Urinary Bladder: A Reappraisal and Case Report.

Background: Angiosarcoma (AS) of the urinary bladder is a very rare and aggressive malignancy with a dismal outcome.

Case Report: Here, we report a primary epithelioid angiosarcoma (EAS) of the urinary bladder in a forty-nine-year-old male patient who presented with severe hematuria. Cystoscopic examination revealed hemorrhagic ulcerated bladder mucosa but no definite mass lesions.

Integrated Papertronic Techniques: Highly Customizable Resistor, Supercapacitor, and Transistor Circuitry on a Single Sheet of Paper.

Humanity's excessive production of material waste poses a critical environmental threat, and the problem is only escalating, especially in the past few decades with the rapid development of powerful electronic tools and persistent consumer desire to upgrade to the newest available technology. The poor disposability of electronics is especially an issue for the newly arising field of single-use devices and sensors, which are often used to evaluate human health and monitor environmental conditions, and for other novel applications. Though impressive in terms of function and convenience, usage of conventional electronic components in these applications would inflict an immense surge in waste and result in higher costs.

Biofabrication and characterization of multispecies electroactive biofilms in stratified paper-based scaffolds.

Bioelectrochemical technologies have attracted significant scientific interest because the effective bacterial electron exchange with external electrodes can provide a sustainable solution that joins environmental remediation and energy recovery. Multispecies electroactive bacterial biofilms are catalysts that will drive the operation of bioelectrochemical devices. Unfortunately, there is a lack of understanding of key mechanisms determining their electron-generating capabilities and syntrophic relations within microbial communities in biofilms.

K-Mer Spectrum-Based Error Correction Algorithm for Next-Generation Sequencing Data.

In the mid-1970s, the first-generation sequencing technique (Sanger) was created. It used Advanced BioSystems sequencing devices and Beckman's GeXP genetic testing technology. The second-generation sequencing (2GS) technique arrived just several years after the first human genome was published in 2003.

Fog Computing Service in the Healthcare Monitoring System for Managing the Real-Time Notification.

A new computing paradigm that has been growing in computing systems is fog computing. In the healthcare industry, Internet of Things (IoT) driven fog computing is being developed to speed up the services for the general public and save billions of lives. This new computing platform, based on the fog computing paradigm, may reduce latency when transmitting and communicating signals with faraway servers, allowing medical services to be delivered more quickly in both spatial and temporal dimensions.

An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing.

Patients are required to be observed and treated continually in some emergency situations. However, due to time constraints, visiting the hospital to execute such tasks is challenging. This can be achieved using a remote healthcare monitoring system.

A Large-Scale Dataset and Deep Learning Model for Detecting and Counting Olive Trees in Satellite Imagery.

Since the Pre-Roman era, olive trees have a significant economic and cultural value. In 2019, the Al-Jouf region, in the north of the Kingdom of Saudi Arabia, gained a global presence by entering the Guinness World Records, with the largest number of olive trees in the world. Olive tree detecting and counting from a given satellite image are a significant and difficult computer vision problem.

Machine Algorithm for Heartbeat Monitoring and Arrhythmia Detection Based on ECG Systems.

Cardiac arrhythmia is an illness in which a heartbeat is erratic, either too slow or too rapid. It happens as a result of faulty electrical impulses that coordinate the heartbeats. Sudden cardiac death can occur as a result of certain serious arrhythmia disorders.

A Blind Watermarking Model of the 3D Object and the Polygonal Mesh Objects for Securing Copyright.

In this paper, we propose a novel model for 3D object watermarking. The proposed method is based on the properties of the discrete cosine transform (DCT) of the 3D object vertices to embed a secret grayscale image three times. The watermarking process takes place by using the vertices coefficients and the encrypted image pixels.

Rapid and Blind Watermarking Approach of the 3D Objects Using QR Code Images for Securing Copyright.

Watermarking techniques in a wide range of digital media was utilized as a host cover to hide or embed a piece of information message in such a way that it is invisible to a human observer. This study aims to develop an enhanced rapid and blind method for producing a watermarked 3D object using QR code images with high imperceptibility and transparency. The proposed method is based on the spatial domain, and it starts with converting the 3D object triangles from the three-dimensional Cartesian coordinate system to the two-dimensional coordinates domain using the corresponding transformation matrix.

Neutrophil-mediated oxidative stress and albumin structural damage predict COVID-19-associated mortality.

Human serum albumin (HSA) is the frontline antioxidant protein in blood with established anti-inflammatory and anticoagulation functions. Here, we report that COVID-19-induced oxidative stress inflicts structural damages to HSA and is linked with mortality outcome in critically ill patients. We recruited 39 patients who were followed up for a median of 12.

Vestibular Function in Children with Type 1 Diabetes: Videonystagmography Testing.

Background: Vestibular system is critical for maintaining balance and learning complex tasks. This study aimed to determine the frequencies, types, and predictors of vestibular dysfunctions (VDs) in children with type 1 diabetes (T1D) using videonystagmography (VNG).

Patients And Methods: This study included 65 patients (children with T1D = 40; controls = 25).

Restless leg syndrome in patients with chronic kidney disease: a hospital-based study from Upper Egypt.

Objectives: Chronic kidney disease (CKD) is a common cause of restless leg syndrome (RLS). RLS is under-recognized, misdiagnosed and undertreated disorder in our locality. In this study, we aimed to determine the prevalence of RLS due to CKD and its predictors.

Clinical and epidemiological profile of cerebral venous thrombosis. A Multicenter retrospective study in Aseer Region Saudi Arabi.

Objective: To assess the epidemiological pattern and correlates with the clinical outcome of Cerebral venous thrombosis (CVT) in Abha, Kingdom of Saudi Arabia.

Methods: A retrospective record_based cohort design was conducted including all patients admitted with diagnosis of CVT in 2 main tertiary hospitals in Aseer Region between 2015 to the end of 2018. The study hospitals were Aseer Central Hospital and Armed Forces Hospitals Southern Region.

Evaluation of the effectiveness of valproic acid for treating cyanotic breath holding spells: A Pilot prospective study.

Background: Cyanotic breath-holding spells (CBHS) are self-limited conditions among younger children. Frequent spells cause parents' fear and anxiety. Seizures, brain damage and sudden death have been rarely reported with BHS.

Biomimetic trace metals improve bone regenerative properties of calcium phosphate bioceramics.

The bone regenerative capacity of synthetic calcium phosphates (CaPs) can be enhanced through the enrichment with selected metal trace ions. However, defining the optimal elemental composition required for bone formation is challenging due to many possible concentrations and combinations of these elements. We hypothesized that the ideal elemental composition exists in the inorganic phase of the bone extracellular matrix (ECM).