Efficient photocatalytic degradation of organic pollutants using α-SnWO with g-CN nanocomposites for wastewater remediation.

Wastewater management has become necessary in this industrialized era to meet the water needs of the world. Wastewater is one of the major crises in depletion of the environment. Photocatalysis is considered as the best way to remove pollutants.

A review on recent advances in g-CN-MXene nanocomposites for photocatalytic applications.

The solutions for environmental remediation and renewable energy generation have intensified the exploration of efficient photocatalytic materials. Recently, the composites of g-CNand MXene have gained considerable interest for their potential applications in photocatalysis. In the g-CN-MXene composite, the g-CNpossesses unique physical, chemical, and optical properties to increase visible light absorption.

Gold-Catalyzed Lactone Synthesis: Advancements and Insights.

Lactones represent a class of fundamental structural motifs ubiquitous in nature, holding significance across diverse scientific domains such as pharmaceuticals, natural products, drug discovery, and industry. Despite their simplicity, the synthesis of lactones has garnered considerable interest due to their pivotal roles. Gold, traditionally regarded as a noble metal, has emerged as an efficient catalyst, challenging conventional perceptions.

A Dual Cobalt-Photoredox Catalytic Approach for Asymmetric Dearomatization of Indoles with Aryl Amides via C-H Activation.

In this study, we unveil a novel method for the asymmetric dearomatization of indoles under cobalt/photoredox catalysis. By strategically activating C-H bonds of amides and subsequent migratory insertion of π-bonds present in indole as reactive partner, we achieve syn-selective tetrahydro-5H-indolo[2,3-c]isoquinolin-5-one derivatives with excellent yields and enantiomeric excesses of up to >99 %. The developed method operates without a metal oxidant, relying solely on oxygen as the oxidant and employing an organic dye as a photocatalyst under irradiation.

A computational study to determine the role of σ-hole in Br/OH substituted nido-carborane and its binding capabilities.

A detailed investigation of the σ-hole on the halogen atom present in the nido-heteroboranes is made by employing quantum mechanical methods. The bromide and the hydroxyl groups are incorporated in the exo-substituents of the nido-boranes. The potential of the bromide σ-hole was compared to that of electrostatic potential of hydroxyl group counterpart.

Reconstructive cranial surgery for invasive and non-responsive mucormycosis.

The incidence of mucormycosis showed a sharp rise during the COVID-19 pandemic in vulnerable populations like people with diabetes. Here, we report a case of mucormycosis of the frontal and ethmoid sinuses in a man in his mid-50s with a background of diabetes mellitus and COVID-19 infection requiring steroids and oxygen support. The infection had remained persistent despite initial debridement by functional endoscopic sinus surgery of the anterior frontal sinus wall and re-exploration, followed by debridement using the brow incision.

Effective method for upcycling construction and demolition waste into concrete: A life cycle approach.

Different property enhancement techniques have already been established to support upcycling of construction and demolition waste as aggregate in concrete. However, the most suitable and sustainable method is still unknown. Quality improvement of recycled coarse aggregate (RCA) after any treatment method and its environmental impact is estimated using life cycle analysis (LCA).

Endoscopic Management of Malignant Tumors of Paranasal Sinus and Nasal Cavity: An Institutional Experience.

Malignant tumors of sinonasal region are rare and affect less than 1 in 100,000 people per year. They are histologically diverse group and potentially pose significant management problems due to their proximity to the orbit and intracranial cavity. Although squamous cell carcinoma (SCC) is most common malignant tumor of paranasal cavity, tumors like adenocarcinoma, olfactory neuroblastoma, malignant melanoma, adenoid cystic carcinoma, sarcomas, haemoproliferative tumors, e.

Primary synovial sarcoma of parotid gland with intravenous extension into the heart.

We are reporting a case of a 47-year-old male with primary synovial sarcoma of the right parotid gland with tumor thrombus extension in the right internal jugular vein and right atrium. The rarity of this occurrence as documented in the review of the literature provides for uncertainty about proper management. Our case represents a rare occurrence with the unique radiological finding that has implications for management.

3D printing of nasopharyngeal swabs for COVID-19 diagnose: Past and current trends.

The current technological advancements in emerging 3D printing technologies are indeed propitious. To date, ground-breaking 3D printing technologies are used in automobile, aerospace, clothing, pharma, and biomedical industries by creating pre-requisite engineered and tailored end-user products reaching standard sets. 3D printing is also becoming a crucial technology in support of enhanced health care and general emergency response since the beginning of the COVID-19 pandemic.

Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVM.

Researchers have been using signal processing based methods to assess speech from Parkinson's disease (PD) patients and identify the contrasting features in comparison to speech from healthy controls (HC). The methodologies follow conventional approach of segmenting speech over a fixed window (≈25ms to 30ms) followed by feature extraction and classification. The proposed methodology uses MFCCs extracted from pitch synchronous and fixed window (25ms) based speech segments for classification using fine Gaussian support vector machines (SVM).

Novel Catheter Multiscope: A Feasibility Study.

Unlabelled: Open Challenges: Continuous monitoring of fundamental cardiovascular hemodynamic parameters is essential to accomplish critical care diagnostics. Today's standard of care measures these critical parameters using multiple monitoring technologies. These state-of-the-art technologies require expensive instrumentation and complex infrastructure.

Endoscopic Endonasal Optic Nerve Decompression with Durotomy: Pis Aller in the Mind of a Blind.

Background: Progressive vision loss is a dismal sequelae of idiopathic intracranial hypertension (IIH) and secondary intracranial hypertension with cerebro-venous sinus thrombosis (CVST). The initial management revolves around weight loss, acetazolamide, steroids, and diuretics. A subset of unfortunate patients, refractory to medical therapy, need surgical intervention in the form of CSF diversion or optic nerve decompression (OND).

Applications of Higher Order Statistics in Electroencephalography Signal Processing: A Comprehensive Survey.

Electroencephalography (EEG) is a noninvasive electrophysiological monitoring technique that records the electrical activities of the brain from the scalp using electrodes. EEG is not only an essential tool for diagnosing diseases and disorders affecting the brain, but also helps us to achieve a better understanding of brain's activities and structures. EEG recordings are weak, nonlinear, and nonstationary signals that contain various noise and artifacts.

Classification of Parkinson's disease Using Pitch Synchronous Speech Analysis.

Human speech production is a complex task that demands synchronized cognitive and muscular functioning. Assessment of a Parkinson's disease (PD) patient's speech using computational methods is a growing field of research. Existing methodologies aim at extraction and usage of features from speech to capture perturbations due to PD.

A Review on Surface Stress-Based Miniaturized Piezoresistive SU-8 Polymeric Cantilever Sensors.

In the last decade, microelectromechanical systems (MEMS) SU-8 polymeric cantilevers with piezoresistive readout combined with the advances in molecular recognition techniques have found versatile applications, especially in the field of chemical and biological sensing. Compared to conventional solid-state semiconductor-based piezoresistive cantilever sensors, SU-8 polymeric cantilevers have advantages in terms of better sensitivity along with reduced material and fabrication cost. In recent times, numerous researchers have investigated their potential as a sensing platform due to high performance-to-cost ratio of SU-8 polymer-based cantilever sensors.

Multifunctional Nanohydroxyapatite-Promoted Toughened High-Molecular-Weight Stereocomplex Poly(lactic acid)-Based Bionanocomposite for Both 3D-Printed Orthopedic Implants and High-Temperature Engineering Applications.

The current work focuses on the fabrication of high-molecular-weight stereocomplex poly(lactic acid)/nanohydroxyapatite (sPLA/n-HAP)-based bionanocomposite for three-dimensional (3D)-printed orthopedic implants and high-temperature engineering applications. To achieve the same, n-HAP is grafted with poly(d-lactic acid) (PDLA) via in situ ring-opening polymerization of d-lactide, followed by blending with poly(l-lactic acid) (PLLA), which yields sPLA/n-HAP biocomposite with improved storage modulus even at temperatures higher than 140 °C. X-ray diffraction and calorimetric analysis ensure the presence of 100% stereocomplex crystallites of biocomposite along with significant improvement in the melting temperature (∼227 °C).

Impact of Isolation and Immobilization Layers on the Electro-Mechanical Response of Piezoresistive Nano Cantilever Sensors.

In the last decade, piezoresistive nano cantilever sensors have been extensively explored, especially for chemical and biological sensing applications. Piezoresistive cantilever sensors are multi-layer structures with different constituent materials. Performance of such sensors is a function of their geometry and constituent materials.

Piezoresistive Composite Silicon Dioxide Nanocantilever Surface Stress Sensor: Design and Optimization.

In this paper, we present the design and optimization of a rectangular piezoresistive composite silicon dioxide nanocantilever sensor. Unlike the conventional design approach, we perform the sensor optimization by not only considering its electro-mechanical response but also incorporating the impact of self-heating induced thermal drift in its terminal characteristics. Through extensive simulations first we comprehend and quantify the inaccuracies due to self-heating effect induced by the geometrical and intrinsic parameters of the piezoresistor.

A novel acoustic catheter stethoscope based acquisition and signal processing framework to extract multiple bio signals.

In this study, a novel acoustic stethoscope based on an intravenous catheter was introduced to measure vascular pressures from a Yorkshire pig. Our hypothesis is that by means of this single device (measurement system) and by applying signal analysis and processing framework, multiple vital bio signals can be extracted. In contrast, current conventional state-of-the-art technologies use multiple devices to provide the same information.

Lactational exposure effect of polychlorinated biphenyl on rat Sertoli cell markers and functional regulators in prepuberal and puberal F offspring.

Purpose: Polychlorinated biphenyls (PCBs) are persistent and bioaccumulative environmental toxicants acting as endocrine disruptors. Many researches evidenced that PCBs affect the male reproductive system in adult rats and it can transfer from mother to offspring through milk. We investigated whether the lactational exposure to PCBs affects the Sertoli cell function in F offspring.

An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks.

In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) "downward-IDS (D-IDS)" to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) "upward-IDS (U-IDS)" to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented.

Signal processing techniques for atrial fibrillation source detection.

In clinical practice, Atrial Fibrillation (AF) is the most common and critical cardiac arrhythmia encountered. The treatment that can ensure permanent AF removal is catheter ablation, where cardiologists destroy the affected cardiac muscle cells with RF or Laser. In this procedure it is necessary to know exactly from which part of the heart AF triggers are originated.