Investigating the Association Between Central Sensitization and Breathing Pattern Disorders.

Central sensitization (CS) is identified as a cause of pain in various musculoskeletal diseases, and breathing pattern disorders (BPDs) are reported to be correlated with chronic pain. This study aimed to analyze the relationship between CS and BPDs through regression analysis. A cross-sectional study was designed according to the strengthening the reporting of observational studies in epidemiology (STROBE) guidelines.

Annual Therapeutic Drug Monitoring in Patients with Inflammatory Bowel Disease During Infliximab Maintenance Therapy: Balancing Efficacy with Risk of Pharmacokinetic Failure.

Background And Aims: Recent studies indicate that proactive therapeutic drug monitoring (TDM) can improve clinical outcomes in patients with inflammatory bowel disease (IBD) treated with infliximab. Repetitive infliximab trough level (IFX TL) measurements for proactive TDM may increase patient inconvenience and medical costs. Therefore, we aimed to determine the optimal interval for TDM during infliximab maintenance therapy in patients with IBD.

A Novel LC-APCI-MS/MS Approach for the Trace Analysis of 3,4-Difluoronitrobenzene in Linezolid.

: Oxazolidinones are novel antimicrobial agents used to combat bacterial infections, particularly multidrug-resistant strains. However, the synthesis of oxazolidinone derivatives, such as linezolid, often involves the use of 3,4-difluoronitrobenzene (DFNB) as an initiator. Despite its effectiveness, residual DFNB in drug products raises significant health concerns due to its structural similarity to toxic and carcinogenic nitrobenzenes.

Novel Leech Antimicrobial Peptides, Hirunipins: Real-Time 3D Monitoring of Antimicrobial and Antibiofilm Mechanisms Using Optical Diffraction Tomography.

Antimicrobial peptides (AMPs) are promising agents for treating antibiotic-resistant bacterial infections. Although discovering novel AMPs is crucial for combating multidrug-resistant bacteria and biofilm-related infections, their clinical potential relies on precise, real-time evaluation of efficacy, toxicity, and mechanisms. Optical diffraction tomography (ODT), a label-free imaging technology, enables real-time visualization of bacterial morphological changes, membrane damage, and biofilm formation over time.

Development of a sensitive LC-MS/MS method for determination of -nitrosopiperazine in levocetirizine.

Levocetirizine is one of the widely used antihistamines and has the potential to form -nitrosopiperazine (NPZ) during drug synthesis, manufacturing, or storage. NPZ classified as a nitrosamine is a genotoxic impurity with carcinogenic properties. Controlling the presence of NPZ in the active pharmaceutical ingredient (API) and drug products is crucial with levels ideally maintained below 80 ppm.

Cytokine engineered NK-92 therapy to improve persistence and anti-tumor activity.

Natural killer (NK) cells are an attractive cell source in cancer immunotherapy due to their potent antitumor ability and promising safety for allogenic applications. However, the clinical outcome of NK cell therapy has been limited due to poor persistence and loss of activity in the cytokine-deficient tumor microenvironment. Benefits from exogenous administration of soluble interleukin-2 (IL-2) to stimulate the activity of NK cells have not been significant due to cytokine consumption and activation of other immune cells, compromising both efficacy and safety.

Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks.

As vehicles are connected to the Internet, various services can be provided to users. However, if the requests of vehicle users are concentrated on the remote server, the transmission delay increases, and there is a high possibility that the delay constraint cannot be satisfied. To solve this problem, caching can be performed at a closer proximity to the user which in turn would reduce the latency by distributing requests.

Case Report of Erdheim-Chester Disease Successfully Treated with Pegylated Interferon: A Single-Center Experience.

Erdheim-Chester disease (ECD), also known as non-Langerhans cell histiocytosis, is a multi-systemic disease with unclear pathogenesis. Based on a small number of case studies, pegylated interferon-α (PEG-IFN-α) has been used as the front-line treatment option. However, there are limited data regarding administration of ropegylated-interferon α-2b (ROPEG-IFN-α 2b) for ECD patients.

Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing.

Vehicular edge computing (VEC) is a promising technology for supporting computation-intensive vehicular applications with low latency at the network edges. Vehicles offload their tasks to VEC servers (VECSs) to improve the quality of service (QoS) of the applications. However, the high density of vehicles and VECSs and the mobility of vehicles increase channel interference and deteriorate the channel condition, resulting in increased power consumption and latency.

Reinforcement Learning for Energy Optimization with 5G Communications in Vehicular Social Networks.

Increased data traffic resulting from the increase in the deployment of connected vehicles has become relevant in vehicular social networks (VSNs). To provide efficient communication between connected vehicles, researchers have studied device-to-device (D2D) communication. D2D communication not only reduces the energy consumption and loads of the system but also increases the system capacity by reusing cellular resources.

Energy-Effective Power Control Algorithm with Mobility Prediction for 5G Heterogeneous Cloud Radio Access Network.

In 5G networks, heterogeneous cloud radio access network (H-CRAN) is considered a promising future architecture to minimize energy consumption and efficiently allocate resources. However, with the increase in the number of users, studies are performed to overcome the energy consumption problems. In this study, we propose a power control algorithm with mobility prediction to provide a high-energy efficiency for 5G H-CRAN.

A design of wireless sensor networks for a power quality monitoring system.

Power grids deal with the business of generation, transmission, and distribution of electric power. Recently, interest in power quality in electrical distribution systems has increased rapidly. In Korea, the communication network to deliver voltage, current, and temperature measurements gathered from pole transformers to remote monitoring centers employs cellular mobile technology.

A reliable data delivery mechanism for grid power quality using neural networks in wireless sensor networks.

Power grids deal with the business of generation, transmission, and distribution of electric power. Current systems monitor basic electrical quantities such as voltage and current from major pole transformers using their temperature. We improve the current systems in order to gather and deliver the information of power qualities such as harmonics, voltage sags, and voltage swells.

A bankruptcy problem approach to load-shedding in multiagent-based microgrid operation.

A microgrid is composed of distributed power generation systems (DGs), distributed energy storage devices (DSs), and loads. To maintain a specific frequency in the islanded mode as an important requirement, the control of DGs' output and charge action of DSs are used in supply surplus conditions and load-shedding and discharge action of DSs are used in supply shortage conditions. Recently, multiagent systems for autonomous microgrid operation have been studied.

Factors associated with the recruitment and retention of dentists in the public sector.

Objectives: There is an increasing demand for public dental services in Australia, with many community dental clinics unable to meet this demand because of an inadequate number of dentists in the workforce. The aim of this study was to identify factors contributing to the recruitment and retention of dentists in the public sector.

Methods: A postal questionnaire survey of 180 dentists (response rate 75.