Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security.

In order to optimize the spectrum allocation strategy of existing wireless communication networks and improve information transmission efficiency and data transmission security, this study uses the independent correlation characteristics of chaotic time series to simulate the collection and control strategy of bees, and proposes an artificial bee colony algorithm based on uniform mapping and collaborative collection control. Furthermore, it proposes an artificial bee colony algorithm based on uniform mapping and collaborative collection and control. The method begins by establishing a composite system of uniformly distributed Chebyshev maps.

A Novel Kidney Failure Prediction Model in Individuals with CKD: Impact of Serum Bilirubin Levels.

Context: Predicting the progression of chronic kidney disease (CKD) to end-stage kidney disease (ESKD) is crucial for improving patient outcomes.

Objective: To reveal the highly predictive activity of serum bilirubin levels for the progression of CKD to ESKD, and to develop and validate a novel ESKD prediction model incorporating serum bilirubin levels.

Methods: We assessed the relative importance of 20 candidate predictors for ESKD, including serum bilirubin levels, in a CKD cohort (15< eGFR <60 mL/min/1.

Dosimetric effects of small field size, dose grid size, and variable split-arc methods on gamma pass rates in radiation therapy.

This study investigates the influence of calculation accuracy in peripheral low-dose regions on the gamma pass rate (GPR), utilizing the Acuros XB (AXB) algorithm and ArcCHECK™ measurement. The effects of varying small field sizes, dose grid sizes, and split-arc techniques on GPR were analyzed. Various small field sizes were employed.

Deterioration of Performance Status during Palliative Radiotherapy Suggests a Significant Short Survival Duration: Indicating the Necessities for Considering Radiotherapy Discontinuation.

Discontinuation of palliative radiotherapy due to a patient's declining general condition poses a clinical dilemma for palliative care physicians. This study aimed to investigate the survival duration of patients whose performance status (PS) deteriorated during palliative radiotherapy and inform decisions regarding early treatment discontinuation. We retrospectively analyzed data from patients referred from our institute's palliative care department who underwent ≥10 fractions of palliative radiotherapy between March 2017 and December 2021.

Semantic embedding based online cross-modal hashing method.

Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a batch-based manner and prove to be inefficient for streaming data. Recently, several online cross-modal hashing methods have been proposed to address the streaming data scenario.

Neonatal hyperkalemia associated with maternal ritodrine: A retrospective study.

Background: We recently reported on a late preterm infant born at 36 weeks' gestation with serious arrhythmia due to hyperkalemia associated with long-term maternal ritodrine administration. It is unknown whether ritodrine alone increases the risk of neonatal hyperkalemia in infants born at 34-36 weeks' gestation.

Methods: This single-center, retrospective, cohort study enrolled late preterm infants (34-36 gestational weeks) born between 2004 and 2018.

Insurance status impacts survival of hepatocellular carcinoma patients after liver resection.

Background: This study intends to examine the effect of public insurance status on survival outcomes of HCC patients after liver resection in China.

Methods: We divided 2911 HCC patients after liver resection included in our study into the Urban Employed-based Medical Insurance group (UEBMI group, n = 1462) and the non-Urban Employed-based Medical Insurance group (non-UEBMI group, n = 1449). A propensity score matching (PSM) analysis was used to control confounding factors.

Relation extraction: advancements through deep learning and entity-related features.

Capturing semantics and structure surrounding the target entity pair is crucial for relation extraction. The task is challenging due to the limited semantic elements and structural features of the target entity pair within a sentence. To tackle this problem, this paper introduces an approach that fuses entity-related features under convolutional neural networks and graph convolution neural networks.

Seeking Treatment Profile of Male Shift Workers With Hypertension and Diabetes.

Objective: This study was identified seeking treatment for hypertension and diabetes among male shift workers.

Method: This retrospective cohort study included nine large companies in Japan. Data were collected from health checkup, health insurance records, and self-administered questionnaires in 2017 and 2020.

Effects of 5-fluorouracil Co-administration on Blood Pressure in Patients Maintained on Antihypertensives: a Retrospective Case Series.

This study aimed to investigate the possible drug-drug interactions (DDIs) of 5-FU with antihypertensives metabolised by CYP3A4 and 2C9, using blood pressure (BP) as a pharmacodynamic (PD) parameter. Patients who received 5-FU in combination with antihypertensives metabolised by CYP3A4 or 2C9, specifically, a) amlodipine, nifedipine, or amlodipine + nifedipine, b) candesartan or valsartan, or c) amlodipine + candesartan, amlodipine + losartan, or nifedipine + valsartan, (Group A, = 20) were identified. Patients who received 5-FU with WF and antihypertensives, specifically, a) amlodipine or b) amlodipine + telmisartan, amlodipine + candesartan, or amlodipine + valsartan, (Group B, = 5) or 5-FU alone (Group C, = 25) were also identified and analysed as a comparator and control group, respectively.

Efficacy and safety of the B-domain-deleted TQG202 for on-demand treatment in moderate and severe haemophilia A patients: A multicentre, single-arm trial.

Introduction: On-demand treatment is the most common treatment strategy for haemophilia A in China.

Aim: This study aims to evaluate the efficacy and safety of a human-derived B-domain-deleted recombinant factor VIII (TQG202) in the on-demand treatment of bleeding episodes in moderate/severe haemophilia A patients.

Methods: This multicentre, single-arm clinical trial enrolled moderate/severe haemophilia patients previously treated with FVIII concentrates for ≥50 exposure days (EDs) from May 2017 to October 2019.

Estimation of the population, death, and quality of life in Shaanxi Province, western China: a cross-sectional study.

Background: Measuring the health of the population is of great significance to the development of a region. We aimed to estimate the population, probability of death, and quality of life in western China.

Methods: We calculated the age-specific mortality rate and prevalence rate of diseases and injuries using the Full Population Database and the Home Page of Inpatient Medical Record.

A phase II study of concurrent chemoradiotherapy with 5-fluorouracil and mitomycin-C for squamous cell carcinoma of the anal canal (the JROSG 10-2 trial).

This study assessed the efficacy of chemoradiotherapy for squamous cell carcinoma of the anal canal (SCCAC). Patients with T1-4N0-3M0 SCCAC received chemoradiotherapy with 5-fluorouracil (5-FU, 800 mg/m2/day, 96-h infusion) and mitomycin-C (MMC, 10 mg/m2 bolus). Patients treated with 3-dimensional conformal radiotherapy (3D-CRT) or intensity-modulated radiotherapy (IMRT) were administered 36.

Analysis and Construction of the User Characteristic Model in the Adaptive Learning System for Personalized Learning.

Adaptive Learning System (ALS) is a supportive environment, which dynamically provides learners with services that can satisfy their demand for personalized learning in accordance with the differentiation of their individual traits. At present, study on ALS is still in the exploratory stage, and there are still many fields that deserve to be studied thoroughly. User characteristic model is the foundation and core of ALS and the key to the implementation of intelligent and personalized recommendation service.

Skin lesion classification using CNNs with grouping of multi-scale attention and class-specific loss weighting.

As one of the most common cancers globally, the incidence of skin cancer has been rising. Dermoscopy-based classification has become the most effective method for the diagnosis of skin lesion types due to its accuracy and non-invasive characteristics, which plays a significant role in reducing mortality. Although a great breakthrough of the task of skin lesion classification has been made with the application of convolutional neural network, the inter-class similarity and intra-class variation in skin lesions images, the high class imbalance of the dataset and the lack of ability to focus on the lesion area all affect the classification results of the model.

The Application of Computer Intelligence in the Cyber-Physical Business System Integration in Network Security.

In order to address the false alarm detection problem caused by the inability to identify the transgression scene pages in the process of horizontal transgression detection, this study proposes a deep learning-based LSTM-AutoEncoder unsupervised prediction model. The model uses long short-term memory network to build AutoEncoder, extracts text features of page response data of horizontal transgression scenario, and reconstructs text features to restore. Meanwhile, it counts the error between the restored result and the original page response, judges whether the detection result of horizontal transgression is false alarm according to the error threshold of unknown page, and tests the effectiveness of the model effect under real business data by comparing it with other two algorithms, one-class SVM and AutoEncoder, which provides security for enterprise network business.

Efficacy, safety and bioequivalence of the human-derived B-domain-deleted recombinant factor VIII TQG202 for prophylaxis in severe haemophilia A patients.

Introduction: Current treatment of severe haemophilia A includes prophylaxis with factor VIII (FVIII) replacement. The supply of plasma-derived FVIII is short in China.

Purpose: To evaluate the efficacy and safety of a new B-domain deleted (BDD) recombinant FVIII (TQG202) produced by human-derived cells for prophylaxis in severe haemophilia A patients and compare the bioequivalence with Xyntha.

Changes in Pharmacodynamic Parameters during Co-administration of 5-FU with Warfarin: A Retrospective Case Series.

Drug-drug interactions (DDIs) between warfarin (WF) and fluoropyrimidines are well known. Co-administration of WF and 5-fluorouracil (5-FU) leads to elevations in prothrombin time international normalised ratio (PT-INR). The inhibition of drug metabolism through suppression of CYP activity is a possible cause of prolonged PT-INR elevations.

An Implementation of Trust Chain Framework with Hierarchical Content Identifier Mechanism by Using Blockchain Technology.

Advances in information technology (IT) and operation technology (OT) accelerate the development of manufacturing systems (MS) consisting of integrated circuits (ICs), modules, and systems, toward Industry 4.0. However, the existing MS does not support comprehensive identity forensics for the whole system, limiting its ability to adapt to equipment authentication difficulties.

Accuracy of an Artificial Intelligence-Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study.

Background: An accurate evaluation of the nutritional status of malnourished hospitalized patients at a higher risk of complications, such as frailty or disability, is crucial. Visual methods of estimating food intake are popular for evaluating the nutritional status in clinical environments. However, from the perspective of accurate measurement, such methods are unreliable.

Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan.

Objective: To summarize the potential characteristics of convalescent patients with coronavirus disease 2019 (COVID-19) in China based on emerging clinical tongue data and guide the treatment and recovery of COVID-19 patients from the perspective of Traditional Chinese Medicine tongue diagnosis.

Methods: In this study, we developed and validated radiomics-based and lab-based methods as a novel approach to provide individualized pretreatment evaluation by analyzing different features to mine the orderliness behind tongue data of convalescent patients. In addition, this study analyzed the tongue features of convalescent patients from clinical tongue qualitative values, including thick and thin, fur, peeling, fat and lean, tooth marks and cracked, and greasy and putrid fur.

Association Between Living Risk and Healthy Life Years Lost Due to Multimorbidity: Observations From the China Health and Retirement Longitudinal Study.

Background: Multimorbidity has an effect on life expectancy, while its effect on healthy life years is unclear. This study aims to investigate the associations between healthy life years lost due to multimorbidity and living risk.

Methods: The participants of The China Health and Retirement Longitudinal Study (CHARLS) were assessed at four visits between 2011 (baseline) and 2018.

The Space-Exposed Kombucha Microbial Community Member Showed Only Minor Changes in Its Genome After Reactivation on Earth.

is the dominant taxon and cellulose-producing bacteria in the Kombucha Microbial Community (KMC). This is the first study to isolate the genome from a reactivated space-exposed KMC sample and comprehensively characterize it. The space-exposed genome was compared with the Earth-based reference genome to understand the genome stability of under extraterrestrial conditions during a long time.

Immersive Virtual Reality-Based Cognitive Intervention for the Improvement of Cognitive Function, Depression, and Perceived Stress in Older Adults With Mild Cognitive Impairment and Mild Dementia: Pilot Pre-Post Study.

Background: The incidence of dementia is increasing annually, resulting in varying degrees of adverse effects for individuals, families, and society. With the continuous development of computer information technology, cognitive interventions are constantly evolving. The use of immersive virtual reality (IVR) as a cognitive intervention for older adults with mild cognitive impairment (MCI) and mild dementia (MD) is promising, although only few studies have focused on its use.