Unveiling the trends: Growing cancer and venous thromboembolism mortality in older adults in the United States, 1999-2020.

Background: While cancer mortality rates in the United States (U.S.) have decreased due to advances in chemotherapy, older adults with cancer face an elevated risk of venous thromboembolism (VTE).

Addressing residual and recurrent aneurysms post-Woven EndoBridge device embolization: a systematic review and meta-analysis.

Background: Early literature on the Woven EndoBridge (WEB) device reported 80-90% adequate aneurysm occlusion but low complete occlusion (40-55%). It is uncertain whether residual or recurrent aneurysms require re-treatment to prevent future rupture.

Objective: To systematically review the literature to meta-analyze occlusion and complication rates after re-treatment of these aneurysms.

CDC WONDER: Trends in diabetes mellitus mortality in the United States from 1968 to 2021.

This study analyzes U.S. diabetes mortality trends from 1968 to 2019 using CDC WONDER data.

A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering.

Improving human health and comfort in buildings requires efficient temperature regulation. Temperature control system has a significant contribution in minimizing the impact of climate change. Temperature control system is used in industry to control temperature.

Design and Investigation of a Passive-Type Microfluidics Micromixer Integrated with an Archimedes Screw for Enhanced Mixing Performance.

In recent years, microfluidics has emerged as an interdisciplinary field, receiving significant attention across various biomedical applications. Achieving a noticeable mixing of biofluids and biochemicals at laminar flow conditions is essential in numerous microfluidics systems. In this research work, a new kind of micromixer design integrated with an Archimedes screw is designed and investigated using numerical simulation and experimental approaches.

Molecular mechanisms of cold stress response in cotton: Transcriptional reprogramming and genetic strategies for tolerance.

Cold stress has a huge impact on the growth and development of cotton, presenting a significant challenge to its productivity. Comprehending the complex molecular mechanisms that control the reaction to CS is necessary for developing tactics to improve cold tolerance in cotton. This review paper explores how cotton responds to cold stress by regulating gene expression, focusing on both activating and repressing specific genes.

Morphological study of the anterior dentition in Raoellidae (Mammalia, Artiodactyla), new insight on their dietary habits.

Raoellidae are small artiodactyls from the Indian subcontinent closely related to stem cetaceans. They bring crucial information to understand the early phase of the land-to-water transition in Cetacea. If they are considered to be partly aquatic, the question of their dietary habits remains partly understood due to their "transitional" morphology.

Comparing the efficacy and safety of extended vs standard dosing of ocrelizumab in MS: A systemic review and meta-analysis.

Introduction: Multiple Sclerosis (MS) is a challenging autoimmune disease that disrupts the central nervous system, leading to a range of symptoms. Ocrelizumab, a treatment commonly used for MS, targets B cells to help manage the disease. While the standard-interval dosing (SID) is effective, the COVID-19 pandemic raised concerns about safety, particularly around immune responses.

Rising cardiovascular mortality among obstructive sleep apnea patients: United States epidemiological trends (1999-2019).

Background: Obstructive sleep apnea (OSA) prevalence has risen significantly, affecting millions globally and posing a major healthcare burden. OSA is strongly associated with cardiovascular diseases (CVD) such as heart failure, stroke, and ischemic heart disease. However, trends in CVD-related mortality among individuals with OSA remain underexplored.

Navigating agitation in neurodevelopmental disorders: A comparative study of pharmacotherapies via network meta-analysis in children and adults with autism spectrum disorder or intellectual disabilities.

Importance: Individuals with autism spectrum disorder (ASD) and intellectual disability often experience persistent challenges related to aggressive behaviour and agitation, highlighting the critical need for evidence-based pharmacological interventions among other strategies. Despite previous network meta-analyses (NMAs), the rapidly evolving landscape of treatment options necessitates ongoing and updated assessments.

Objective: To evaluate the efficacy and tolerability of various pharmacotherapies in managing agitation in children and adults with ASD or intellectual disabilities (ID).

Forward and Backward Private Searchable Encryption for Cloud-Assisted Industrial IoT.

In the cloud-assisted industrial Internet of Things (IIoT), since the cloud server is not always trusted, the leakage of data privacy becomes a critical problem. Dynamic symmetric searchable encryption (DSSE) allows for the secure retrieval of outsourced data stored on cloud servers while ensuring data privacy. Forward privacy and backward privacy are necessary security requirements for DSSE.

Environmental mediation of colistin resistance in the African context. A systematic scoping review.

Objectives: The prevalence of antimicrobial resistance (AMR) among Gram-negative bacteria is a major global health concern. Resistance to last-resort antibiotics like colistin is particularly alarming. This study reviews how environmental factors have contributed to colistin resistance in the African context, where reports of colistin-resistant Gram-negative organisms are emerging.

Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand.

Climate change and increasing water demands underscore the importance of water resource management. Precise precipitation forecasting is critical to effective management. This study introduced a Daily Precipitation Forecasting Hybrid (DPFH) technique for central Thailand, which uses three different input-based models to improve prediction accuracy.

Defining quantitative rules for identifying influential researchers: Insights from mathematics domain.

In the midst of a vast amount of scientific literature, the need for specific rules arise especially when it comes to deciding which impactful researchers should be nominated. These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc.

PHyPO: Priority-based Hybrid task Partitioning and Offloading in mobile computing using automated machine learning.

With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increases the latency of the system. Whereas edge computing reduces the latency along with the energy consumption, it has limited resources and cannot process bigger tasks.

Nephroprotective Potential of 1,3,4-Oxadiazole Derivative Against Methotrexate-Induced Nephrotoxicity in Rats by Upregulating Nrf2 and Downregulating NF-κB and TNF-α Signaling Pathways.

Nephrotoxicity is a prominent complication of methotrexate (MTX) therapy that limits clinicians in its extensive use. MTX triggers oxidative burden and inflammation, so the nephroprotective potential of the synthetic derivative of 1,3,4-oxadiazole (5b) was explored in this research. Male Wistar rats were divided into four groups i.

The Endocranial Cast of Khirtharia (Artiodactyla, Raoellidae) Provides New Insights into the Earliest Evolution of the Cetacean Brain.

Introduction: Raoellidae are small artiodactyls retrieved from the middle Eocene of Asia (ca. -47 Ma) and closely related to stem Cetacea. Morphological observations of their endocranial structures allow for outlining some of the early steps of the evolutionary history of the cetacean brain.

Two-stage surgical approach for type III odontoid fracture with C1-C2 fracture dislocation: a case report and management overview.

Introduction And Importance: Odontoid fractures of the second cervical vertebra (C2) are categorized into three types, with type III extending into the body of the axis. These fractures, often resulting from high-energy trauma, can cause significant instability and neurological issues. This case report discusses a 43-year-old male with a type III odontoid fracture and C1-C2 fracture dislocation, demonstrating the effectiveness of traditional neurosurgical techniques in managing such complex injuries.

Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations.

Objectives: Dental health is integral to overall well-being, with early detection of issues critical for prevention. This research work focuses on utilizing artificial intelligence and deep learning-based object detection techniques for automated detection of common dental issues in orthopantomography x-ray images, including broken roots, periodontally compromised teeth, and the Kennedy classification of partially edentulous arches.

Methods: An orthopantomography dataset has been used to train several models employing various object detection architectures, hyperparameters, and training techniques.

Accelerated galvanic interaction for the fabrication of core-shell nanowires to boost the hydrogen evolution reaction.

As an essential reaction of water splitting in alkaline solution, the hydrogen evolution reaction (HER) is seriously limited by its ponderous dynamics and the dissolution of Ru. Herein, we propose a strategy for the electrochemical deposition of Ru nanoparticles on the surface of Ag nanowires (Ag NWs) to generate a core-shell Ru@Ag/AgCl catalyst through an accelerated galvanostatic interaction conducted in RuCl solution. The active sites of Ru were precisely controlled by tailoring the number of cycles in cyclic voltammetry (CV).

Can Endovascular Repair of Unruptured Intracranial Aneurysms Be Safely Performed in an Outpatient Setting? Lessons Learned from Spine Outcome Control Groups.

Background And Objectives: The performance of select neurosurgical procedures is being transitioned to an outpatient setting rather than an inpatient setting to increase healthcare cost-effectiveness. Despite numerous technological advancements in the treatment of unruptured intracranial aneurysms (UIAs), the procedures are solely performed in an inpatient setting. We aimed to compare the rate of short-term outcomes associated with inpatient endovascular treatment of UIAs with those for established outpatient neurosurgical procedures, including anterior cervical discectomy and fusions (ACDFs) and lumbar discectomies.

Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization.

With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researchers developed various approaches to solve the automatic hate speech detection problem using different corpora in various languages, however, research on the Urdu language is rather scarce.

Silicon-on-insulator wavelength-selective filter with integrated detectors at the 2 µm wave band.

The short-wave infrared range is highly significant for spectroscopic sensing and upcoming optical communication applications. Integrating active and passive photonic components is essential to achieve compact optical solutions. In this paper, we show, for the first time to our knowledge, a wavelength-selective detection system based on the heterogeneous integration of two grating-coupled InGaAs photodetectors operating at the 2µm wave band, with a wavelength selectivity provided by a dual-channel Mach-Zehnder interferometer fabricated using a silicon-on-insulator (SOI) wafer.