Prognostic significance of estimated radiation dose to immune cells in cancer patients undergoing thoracic irradiation: A meta-analysis.

Background And Purpose: Emerging evidence suggests that excessive radiation dose to immune cells may impair host immunity and negatively affect cancer prognosis. However, the prognostic impact of the estimated radiation dose to immune cells across different cancer types and treatment modalities remains inconclusive. This meta-analysis aimed to systematically evaluate the association between estimated radiation dose to immune cells and survival outcomes in patients with lung and esophageal cancers undergoing radiotherapy.

Secure and efficient graduate employment: A consortium blockchain framework with InterPlanetary file system for privacy-preserving resume management and efficient talent-employer matching.

In recent years, the unemployment situation of teenagers has become increasingly serious, and many college students face the problem of unemployment upon graduation. Concurrently, Companies need more support in their talent acquisition processes, including high costs, security concerns, inefficiencies, and time-consuming sourcing procedures. Moreover, job applicants frequently confront risks associated with potentially compromising their personal information during the application process.

A Fuzzy-Based Relay Security Algorithm for Wireless Sensor Networks.

Wireless sensor network data is an important source of big data. A sensor node cooperatively transmits or forwards data through intermediate nodes to a collection center, which is then aggregated for big data analysis and application. The relay selection algorithm selects the best transmissible node among the candidate nodes to fully exploit the limited resources of the sense nodes and extend the network lifecycle.

U-Net Inspired Transformer Architecture for Multivariate Time Series Synthesis.

This study introduces a Multiscale Dual-Attention U-Net (TS-MSDA U-Net) model for long-term time series synthesis. By integrating multiscale temporal feature extraction and dual-attention mechanisms into the U-Net backbone, the model captures complex temporal dependencies more effectively. The model was evaluated in two distinct applications.

Employing urinary biomarkers in predicting renal recovery three months after in-hospital acute kidney injury.

Introduction: Renal recovery after acute kidney injury (AKI) significantly improves outcomes. This cohort study explored the efficacy of six urinary biomarkers and the spot urine creatinine-to-osmolality ratio (sUCr/Osm) in predicting renal recovery 3 months after in-hospital AKI.

Methods: Data from the Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury study, involving 744 patients with in-hospital AKI, were analyzed.

Digital leisure and psychological well-being in later life: Examining roles of active-constructive responses and gratitude.

Use of information and communication technology for enjoyment, often identified as digital leisure, provides older adults with opportunities to experience leisure in innovative ways. Although perceived active-constructive responses from others within the context of digital leisure may be beneficial in later life, it remains unclear how perceived active-constructive responses during digital leisure can help older adults experience psychological well-being (PWB). To address this research gap, we examined a moderation model with active-constructive responses and gratitude to predict PWB.

Using Screen Printing Technology to Fabricate Flexible Sodium Ion Sensors.

This study focused on the development of Na ion sensing devices on a flexible substrate and investigated the impact of various additive materials on its sensing performance. For the Na ion sensing aspect, the film on the carbon working electrode used tert-butyl calix[4]arene tetraethyl acetate as the ion carrier. The main component of the film was polyvinyl chloride (PVC), with a plasticizer added to enhance its flexibility, ensuring better adaptation to the flexible substrate.

Trends in Studies on Transesophageal Echocardiography in Emergency Medicine: A Scoping Review.

Background: Transesophageal echocardiography (TEE) has been introduced in resuscitative scenarios in recent decades, with a growing number of emergency physicians learning, performing, and studying resuscitative TEE.

Objective: Our goal was to characterize publishing trends regarding TEE use in emergency medicine (EM) and to investigate the increasing interest in potential applications of TEE in emergency departments (ED).

Methods: We retrieved published research associated with the use of TEE in EM from the Web of Science database from inception to December 31, 2023.

Evaluating European countries' progress towards SDGs: Insights from parallel SBM DEA analysis of economic, healthcare, environmental, and educational efficiencies.

The Sustainable Development Goals (SDGs) of the United Nations aim to address the sustainable challenges continuously emerging in the world today. This study analyzes the progress of 27 European countries from 2015 to 2019 in achieving SDG Goal 3 (Good Health and Well-Being), Goal 4 (Quality Education), and Goal 8 (Decent Work and Economic Growth). The implementation of these three goals is interconnected.

Generative Adversarial Network for Synthesizing Multivariate Time-Series Data in Electric Vehicle Driving Scenarios.

This paper presents a time-series point-to-point generative adversarial network (TS-p2pGAN) for synthesizing realistic electric vehicle (EV) driving data. The model accurately generates four critical operational parameters-battery state of charge (SOC), battery voltage, mechanical acceleration, and vehicle torque-as multivariate time-series data. Evaluation on 70 real-world driving trips from an open battery dataset reveals the model's exceptional accuracy in estimating SOC values, particularly under complex stop-and-restart scenarios and across diverse initial SOC levels.

A Markov decision optimization of medical service resources for two-class patient queues in emergency departments via particle swarm optimization algorithm.

In the modern healthcare system, the rational allocation of emergency department (ED) resources is crucial for enhancing emergency response efficiency, ensuring patient safety, and improving the quality of medical services. This paper focuses on the issue of ED resource allocation and designs a priority sorting system for ED patients. The system classifies patients into two queues: urgent and routine.

Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing.

The proliferation of sophisticated counterfeiting poses critical challenges to global security and commerce, with annual losses exceeding $2.2 trillion. This paper presents a novel physics-constrained deep learning framework for high-precision security ink colorimetry, integrating three key innovations: a physics-informed neural architecture achieving unprecedented color prediction accuracy (CIEDE2000 (ΔE00): 0.

Employing urinary biomarkers to infer the absence of acute kidney disease in outpatients with a single serum creatinine measurement.

Introduction: In outpatient settings, it is challenging to exclude acute kidney disease (AKD) based on a single serum creatinine (SCr) measurement. This retrospective study aimed to explore the usefulness of urinary biomarkers and a novel functional biomarker, a spot urine creatinine-to-osmolality ratio (sUCr/Osm), for inferring the absence of AKD.

Methods: The cohort was from the ASSESS-AKI Study.

Electric Field-Enhanced SERS Detection Using MoS-Coated Patterned Si Substrate with Micro-Pyramid Pits.

This study utilized semiconductor processing techniques to fabricate patterned silicon (Si) substrates with arrays of inverted pyramid-shaped micro-pits by etching. Molybdenum trioxide (MoO) was then deposited on these patterned Si substrates using a thermal evaporation system, followed by two-stage sulfurization in a high-temperature furnace to grow MoS thin films consisting of only a few atomic layers. During the dropwise titration of Rhodamine 6G (R6G) solution, a longitudinal electric field was applied using a Keithley 2400 (Cleveland, OH, USA) source meter.

Relationship of SSVEP response between flash frequency conditions.

This study delves into the application of Brain-Computer Interfaces (BCIs), focusing on exploiting Steady-State Visual Evoked Potentials (SSVEPs) as communication tools for individuals facing mobility impairments. SSVEP-BCI systems can swiftly transmit substantial volumes of information, rendering them suitable for diverse applications. However, the efficacy of SSVEP responses can be influenced by variables such as the frequency and color of visual stimuli.

Optimizing user experience in SSVEP-BCI systems.

The emergence of brain-computer interface (BCI) technology provides enormous potential for human medical and daily applications. Therefore, allowing users to tolerate the visual response of SSVEP for a long time has always been an important issue in the SSVEP-BCI system. We recruited three subjects and conducted visual experiments in groups using different frequencies (17 and 25Hz) and 60Hz light.

Carvedilol through ß1-Adrenoceptor blockade ameliorates glomerulonephritis via inhibition of oxidative stress, apoptosis, autophagy, ferroptosis, endoplasmic reticulum stress and inflammation.

Glomerulonephritis (GN) is one of the main causes of end stage renal disease and requires an effective treatment for inhibiting GN. Renal nerves through efferent (RENA) and afferent (RANA) innervation to glomeruli regulate the glomerular function. We delineated the role of RENA and RANA on anti-Thy1.

Energy Consumption Minimization with SNR Constraint for Wireless Powered Communication Networks.

The article addresses the energy consumption minimization problem in wireless powered communication networks (WPCNs) and proposes a time allocation scheme, named DaTA, which is based on the Different Target Simultaneous Wireless Information and Power Transfer (DT-SWIPT) scheme such that the wireless station can share the remaining energy after transmission to the Hybrid Access Point (HAP) to those who have not transmitted to the HAP to minimize the energy consumption of the WPCN. In addition to proposing a new frame structure, the article also considers the Signal-to-Noise (SNR) constraint to guarantee that the HAP can successfully receive data from wireless stations. In the article, the problem of minimization of energy consumption is formulated as a nonlinear programming model.

Prognostic utility of the geriatric nutritional risk index for head and neck cancer: Systematic review and meta-analysis.

We conducted a systematic review of the literature to assess the potential prognostic utility of geriatric nutritional risk index (GNRI) for head and neck cancer (HNC). We selected studies and extracted data after searching the Cochrane Library, EMBASE, and PubMed databases. The associations between GNRI and survival outcomes were explored by calculating hazard ratios (HRs) and 95% confidence intervals (CIs) through a random-effects meta-analysis.

Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains.

In current genomic research, the widely used methods for predicting antimicrobial resistance (AMR) often rely on prior knowledge of known AMR genes or reference genomes. However, these methods have limitations, potentially resulting in imprecise predictions owing to incomplete coverage of AMR mechanisms and genetic variations. To overcome these limitations, we propose a pan-genome-based machine learning approach to advance our understanding of AMR gene repertoires and uncover possible feature sets for precise AMR classification.

Acute Effect in Mechanical Efficiency by Pressure-Volume Loop Analysis after Transcatheter Aortic Valve Implantation.

Background: This study aimed to evaluate the immediate effect of transcatheter aortic valve implantation (TAVI) on mechanical efficiency.

Methods: A total of 46 patients (25 females) with an average age of 83 ± 6.4 years underwent TAVI using the CoreValve system.

Investigating the Effect of Design Parameters on the Mechanical Performance of Contact Wave Springs Designed for Additive Manufacturing.

Additive manufacturing (AM) enables design freedom to fabricate functionally graded wave springs designed by varying design parameters, which are not possible in traditional manufacturing. AM also enables optimization of the wave spring design for specific load-bearing requirements. Existing wave springs are manufactured by metal with constant dimensions (width and thickness of the strip, diameter) using customized traditional machines in which design variations are almost impossible.

Effects of various cross-linked collagen scaffolds on wound healing in rats model by deep-learning CNN.

Scar tissue is connective tissue formed on the wound during the wound-healing process. The most significant distinction between scar tissue and normal tissue is the appearance of covalent cross-linking and the amount of collagen fibers in the tissue. This study investigates the efficacy of four types of collagen scaffolds in promoting wound healing and regeneration in a Sprague-Dawley murine model-the histomorphology analysis of collagen scaffolds and developing a deep learning model for accurate tissue classification.

Improved stability and efficiency of inverted triple-cation mixed-halide perovskite solar cells with CsI-modified NiOx hole transporting layer.

Addressing the critical challenge of mitigating defect generation and enhancing the extended durability of perovskite solar cells (PeSCs) requires effective passivation materials. In our study, we investigated the impact of varying concentrations of cesium iodide (CsI), an alkali halide, on the interface layer among the hole transporting layer (HTL) and the perovskite film in a triple-cation lead hybrid halide CsFAMAPb(IBr) perovskite layer. Our findings revealed that the introduction of CsI into the NiOx HTL led to improved crystallinity and a reduction in defects within the perovskite film.