Design and TCAD analysis of few-layer graphene/ZnO nanowires heterojunction-based photodetector in UV spectral region.

Graphene and zinc oxide (ZnO) nanowires (NWs)-based photodetectors demonstrate excellent photodetection performance in the ultraviolet (UV) spectrum regime. This paper presents the design and analysis of a heterostructure model of p-few-layer graphene (p-FLG)/n-ZnO NWs-based UV photodetector. The design utilizes the unique properties of few-layer graphene to enhance light absorption and improve photodetector performance.

Indian experience of Afatinib for EGFR mutation-positive advanced lung adenocarcinoma a real-world retrospective study.

Introduction: Afatinib, a second-generation EGFR TKI, was approved in 2015 for the treatment of metastatic NSCLC in India. We aimed to evaluate the clinical outcomes of Afatinib therapy in a real-world setting.

Patients And Methods: Electronic medical records of 43 patients who received Afatinib for advanced EGFR-mutant advanced NSCLC were retrospectively reviewed.

DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images.

Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. These models often employ a dual-branch structure, which balances processing speed and performance effectively.

Optoelectronic performance prediction of HgCdTe homojunction photodetector in long wave infrared spectral region using traditional simulations and machine learning models.

This research explores the design of an infrared (IR) photodetector using mercury cadmium telluride (HgCdTe). It proposes two- and three-dimensional homojunction models based on p-HgCdTe/n-HgCdTe, focusing on applications in the long-wavelength infrared range. The photodetector's performance is analyzed using Silvaco ATLAS TCAD software and compared with analytical calculations based on drift-diffusion, tunneling, and Chu's approximation techniques.

Semaglutide in Heart Failure: A Systematic Review of Outcomes of Semaglutide in Heart Failure Patients.

Heart failure (HF) stands as a formidable challenge in global healthcare casting a long shadow over both morbidity and mortality. A significant interplay between HF and type 2 diabetes (T2DM) manifests an elevated risk of adverse cardiovascular events in T2DM patients. Glucagon-like peptide 1 emerges as a pivotal player in T2DM, which is released in response to meals rich in glucose and lipids.

RV in COPD - The complicated matters of the heart - Correlation of ECHO and biomarker with COPD severity and outcome.

Background: Patients with chronic obstructive pulmonary disease (COPD) have an increased risk of cardiovascular involvement, which is among the leading causes of morbidity and mortality worldwide. Echocardiography (ECHO) could be a reliable, non-invasive tool for predicting the risk of cardiovascular modalities in patients with COPD. Combining the ECHO parameters with highly selective cardiac troponin could predict the severity and outcome of patients with COPD.

Tuning the Fermi Level of Graphene by Two-Dimensional Metals for Raman Detection of Molecules.

Graphene-enhanced Raman scattering (GERS) offers great opportunities to achieve optical sensing with a high uniformity and superior molecular selectivity. The GERS mechanism relies on charge transfer between molecules and graphene, which is difficult to manipulate by varying the band alignment between graphene and the molecules. In this work, we synthesized a few atomic layers of metal termed two-dimensional (2D) metal to precisely and deterministically modify the graphene Fermi level.

Efficacy and adverse effects of insulin versus plasmapheresis in patients with hypertriglyceridemia-3-induced acute pancreatitis: a systematic review and meta-analysis.

Background: Hypertriglyceridemia is a common cause of acute pancreatitis (AP). This literature review compared the effectiveness and adverse events of insulin therapy, with or without heparin, and plasmapheresis, in reducing triglyceride levels in patients with hypertriglyceridemia-induced AP.

Methods: Systematic reviews, meta-analyses, evidence syntheses, editorials, commentaries, protocols, abstracts, theses and preprints were excluded.

The Role of Gut Microbiota in Neurodegenerative Diseases: Current Insights and Therapeutic Implications.

Small microscopic entities known as microbes, having a population of hundreds of billions or perhaps even in trillions, reside in our gastrointestinal tract. A healthy immune system, digestion, and creation of vitamins and enzymes are all thanks to these microbes. However, new research has shown a hitherto unrecognized connection between the microbiota of the intestines and the genesis of neurodegenerative diseases.

Correction: Kumar et al. Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System. 2022, , 5160.

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DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images.

Acute lymphoblastic leukemia (ALL) is a life-threatening hematological malignancy that requires early and accurate diagnosis for effective treatment. However, the manual diagnosis of ALL is time-consuming and can delay critical treatment decisions. To address this challenge, researchers have turned to advanced technologies such as deep learning (DL) models.

Health prediction of reciprocating endodontic instrument based on the machine learning and exponential degradation models.

This study proposes an intelligent health prediction and fault prognosis of the endodontic file during the root canal treatment. Root canal treatment is the procedure of disinfecting the infected pulp through the canal with the help of an endodontic instrument. Force signals are acquired with the help of a dynamometer during the canal preparation, and statistical features are extracted.

Impact of improving infection control and antibiotic stewardship practices on nosocomial infections and antimicrobial resistance in an oncology centre from India.

Background: Improving basic infection control (IC) practices, diagnostics and anti-microbial stewardship (AMS) are key tools to handle antimicrobial resistance (AMR).

Materials And Methods: This is a retrospective study done over 6 years (2016-2021) in an oncology centre in North India with many on-going interventions to improve IC practices, diagnostics and AMS. This study looked into AMR patterns from clinical isolates, rates of hospital acquired infections (HAI) and clinical outcomes.

Effects of Angiotensin Receptor-Neprilysin Inhibitors Versus Enalapril or Valsartan on Patients With Heart Failure: A Systematic Review and Meta-Analysis.

Recent studies have focused on treating heart failure, primarily mitigating symptoms and reducing the risk of mortality and other cardiovascular complications. A promising new treatment approach involves using LCZ696, an angiotensin receptor-neprilysin inhibitor (ARNI) comprising sacubitril and valsartan. This treatment is superior to the conventional drugs enalapril or valsartan in patients diagnosed with heart failure.

An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks.

The process of examining the data flow over the internet to identify abnormalities in wireless network performance is known as network traffic analysis. When analyzing network traffic data, traffic classification becomes an important task. The traffic data classification is used to determine whether data in network traffic is in real-time or not.

The implication of oversampling on the effectiveness of force signals in the fault detection of endodontic instruments during RCT.

This work provides an innovative endodontic instrument fault detection methodology during root canal treatment (RCT). Sometimes, an endodontic instrument is prone to fracture from the tip, for causes uncertain the dentist's control. A comprehensive assessment and decision support system for an endodontist may avoid several breakages.

Ondansetron-induced QT prolongation among various age groups: a systematic review and meta-analysis.

Background: Ondansetron is a selective 5-hydroxytryptamine type 3 serotonin-receptor antagonist with antiemetic properties used inadvertently in the emergency department for controlling nausea. However, ondansetron is linked with a number of adverse effects, including prolongation of the QT interval. Therefore, the purpose of this meta-analysis was to assess the occurrence of QT prolongation in pediatric, adult, and elderly patients receiving oral or intravenously administered ondansetron.

Knowledge and Awareness About Diabetes Mellitus Among Urban and Rural Population Attending a Tertiary Care Hospital in Haryana.

Background: Diabetes mellitus (DM) is one of the fastest-growing public health problems in the twenty-first century. The ignorance among people about their disease may be related to their low socioeconomic status and lack of quality education available to them about the disease. It is a serious condition leading to several complications if the individual does not follow up regularly for check-ups and blood sugar monitoring.

Brain Tumor Classification Using Deep Neural Network and Transfer Learning.

In the field of medical imaging, the classification of brain tumors based on histopathological analysis is a laborious and traditional approach. To address this issue, the use of deep learning techniques, specifically Convolutional Neural Networks (CNNs), has become a popular trend in research and development. Our proposed solution is a novel Convolutional Neural Network that leverages transfer learning to classify brain tumors in MRI images as benign or malignant with high accuracy.

Ocular Manifestations in Pregnancy-Induced Hypertension at a Tertiary Level Hospital in Karnataka, India.

Introduction Pregnancy-induced hypertension (PIH) is a hypertensive disorder in pregnancy that occurs after 20 weeks of pregnancy in the absence of previously known hypertension. PIH is a common and serious complication accompanying pregnancy. Pre-eclampsia and eclampsia are multisystem disorders that can involve end organs like kidneys, liver, eyes, haematopoietic system and placenta.

Scheuermann's Disease in Young Adults: A Case Report.

Scheuermann kyphosis, also known as Scheuermann disease, juvenile kyphosis, or juvenile discogenic disease, is a condition involving an abnormal, excessive curvature of the spine. It involves both the vertebral bodies and discs of the spine and is characterized by anterior wedging of greater than or equal to 5 degrees in three or more adjacent vertebral bodies. Type 1 Scheuermann's disease involves the thoracic spine, whereas type 2 involves both the thoracic and lumbar spine.

Serpentine Supra-venous Hyperpigmentation "Badge of Courage" in Fight Against Cancer: An Brief Review.

Persistent serpentine supra-venous hyperpigmentation (PSSH) describes a hyperpigmentation of the skin overlying peripheral veins with characteristic of underlying vessels that are patent. It has been described most commonly after injection of chemotherapeutic drugs. We describe a 44 year old man with diagnosed case of Ca stomach on FOLFOX based chemotherapy.

Networked control system with MANET communication and AODV routing.

The industries are presently exploring the use of wired and wireless systems for control, automation, and monitoring. The primary benefit of wireless technology is that it reduces the installation cost, in both money and labor terms, as companies already have a significant investment in wiring. The research article presents the work on the analysis of Mobile Ad Hoc Network (MANET) in a wireless real-time communication medium for a Networked Control System (NCS), and determining whether the simulated behavior is significant for a plant or not.

Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System.

Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life. Recently, the healthcare department also emerged with soft-biometric technology, i.e.

Leigh's disease, a fatal finding in the common world: A case report.

Leigh syndrome is a neurodegenerative mitochondrial disorder of childhood characterized by symmetrical spongiform lesions in the brain. The clinical presentation of Leigh's syndrome can vary significantly. However, in the majority of cases, it usually presents as a progressive neurological disease involving motor and cognitive development.