Optimizing treatment sequencing in multiple myeloma: a novel model to predict survival outcomes.

Objective: Patients with multiple myeloma (MM) typically require multiple regimens and become harder to treat with each line of treatment. Furthermore, there is a lack of direct comparative clinical trial data to guide effective treatment sequencing. A novel model is described comparing alternative MM treatment sequences to optimize patient outcomes.

Assessing women's stated preferences for breast cancer screening: a systematic review and a meta-analysis.

Background: Breast cancer is the most common diagnosed disease, and the second leading cause of death among women. Thus, due to its importance, the current research is aimed at identifying the preferences of individuals for improving breast cancer screening programs and the related policies.

Method: A systematic search was applied on databases including - PubMed, Scopus, the Web of Science, Embase, Cochrane, SID- up to October 2022.

Automatic detection of multi-antibiotic residues simultaneously in aquatic products by visual protein microarray chips.

A 96-well microplate-based protein microarray chip which can simultaneously detect three different families of antibiotics using a multiplexed approach has been developed for the first time. All steps in the microarray chip can be completed through an automated biochip analyzer, enabling high throughput analysis of 96 samples within 60 min according to the set program. The microarray chip can be visually evaluated by the color depth of array points, and can also be quantified through a scanner.

Misinformation exploits outrage to spread online.

We tested a hypothesis that misinformation exploits outrage to spread online, examining generalizability across multiple platforms, time periods, and classifications of misinformation. Outrage is highly engaging and need not be accurate to achieve its communicative goals, making it an attractive signal to embed in misinformation. In eight studies that used US data from Facebook (1,063,298 links) and Twitter (44,529 tweets, 24,007 users) and two behavioral experiments (1475 participants), we show that (i) misinformation sources evoke more outrage than do trustworthy sources; (ii) outrage facilitates the sharing of misinformation at least as strongly as sharing of trustworthy news; and (iii) users are more willing to share outrage-evoking misinformation without reading it first.

Corrigendum: Analysis of the structure and trend prediction of China's total health expenditure.

[This corrects the article DOI: 10.3389/fpubh.2024.

The era of digital trade: Exploring new mechanisms and threshold effects for green upgrading of manufacturing companies.

The green transformation of manufacturing companies is of strategic importance for promoting sustainable development, optimising energy structure and improving environmental quality. This article empirically examines the impact of digital trade on the green transformation of manufacturing companies and the role of green technology innovation using panel data of Chinese A-share listed manufacturing companies from 2011 to 2021. The findings are as follows: digital trade significantly accelerates the green transformation of manufacturing companies, and this effect is more obvious in mature companies, highly competitive industries and non-renewable energy companies.

Cognitive reflection is a distinct and measurable trait.

We report the findings of an adversarial collaboration examining whether the cognitive reflection test (CRT) measures anything beyond mathematical aptitude and, if so, whether its incremental predictive validity can be attributed to reflection, per se. We found that an 8-item CRT has greater predictive validity than an 8-item Mathematical Aptitude Test (MAT) consisting of comparably difficult items which lack dominant intuitive lures. Further, the incremental predictive validity stems from the CRT's measurement of reflection, which we show using both structural equation models and a dual-response paradigm that helps distinguish susceptibility to intuitions from inadequate mathematical aptitude.

Preferences of Individuals With Obesity for Online Medical Consultation in Different Demand Scenarios: Discrete Choice Experiments.

Background: Obesity is a unique chronic disease, with China having the largest number of people living with overweight and obesity in the world. There has been little research from the demand perspective for online medical consultation (OMC) by individuals living with obesity. With the growing demand for obesity OMC, especially due to the emergence of new pharmacotherapies, such as glucagon-like peptide-1 receptor agonists, individuals living with obesity are seeking both advice on obesity management and the prescription of obesity drugs.

Strong long ties facilitate epidemic containment on mobility networks.

The analysis of connection strengths and distances in the mobility network is pivotal for delineating critical pathways, particularly in the context of epidemic propagation. Local connections that link proximate districts typically exhibit strong weights. However, ties that bridge distant regions with high levels of interaction intensity, termed strong long (SL) ties, warrant increased scrutiny due to their potential to foster satellite epidemic clusters and extend the duration of pandemics.

Study on Fatigue Allowance Formulation Based on Physiological Measurements.

The fatigue allowance effectively mitigates declines in physiological state due to work fatigue. An appropriate allowance rate facilitates timely recovery for employees and serves as a crucial basis for labor quota formulation. In this paper, the action mode in mechanical processing was extracted and disassembled into six action units.

A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process.

The iron and steel industry is energy-intensive due to the large volume of steel produced and its high-temperature and high-weight characteristics, sensors such as high-temperature application sensors can be utilized to collect production data and support the process control and optimization. Steelmaking-refining-continuous casting (SRCC) is a bottleneck in the iron and steel production process. SRCC scheduling problems are worldwide problems and NP-hard.

Exploring Self-Care, Anxiety, Depression, and the Gender Gap in the Software Engineering Pipeline.

Software engineers may experience burnout, which is often caused by the anxieties and stresses of the workplace. Understanding the well-being and resilience practices of software engineers and evaluating their knowledge of mental health is one factor to understand our current, diverse, multi-generational workplaces. Here, we present preliminary results of a study examining the self-care practices of software engineers, a general overview of the state of mental health of software engineers, and correlations between expressions of mental health and demographic factors.

Determinants of Length of Stay for Medical Inpatients Using Survival Analysis.

With the increase in insured patients and an aging population, managing the length of stay (LOS) for inpatients has become crucial for controlling medical costs. Analyzing the factors influencing LOS is necessary for effective management. Previous studies often used multiple or logistic regression analyses, which have limitations such as unmet assumptions and the inability to handle time-dependent variables.

Demographic and Geographic Characteristics Associated with the Type of Prescription and Drug Expenditure: Real World Evidence for Greece During 2015-2021.

Aim: Electronic prescribing has allowed for the collection of prescription data in real time in Greece for the first time. Hence, the aim of the current study was to present the characteristics of prescriptions for the Greek population during the period from 2015 to 2021.

Methods: This retrospective study was based on data extracted from the nationwide Greek electronic prescription database between January 2015 and December 2021.

Development of Body Weight Management Among the Hungarian Population.

Background/objectives: Nowadays, body weight management has gained significant consumer attention due to the health megatrend. It plays a key role in preventing diseases, maintaining health, and creating a balanced diet, as well as in mental and physical health. Overweight and obesity are serious problems that can result in various non-communicable diseases; thus, managing the body weight of those who are overweight or obese without pathological changes would help reduce the prevalence of these diseases.

Factors Influencing Nurses' Decisions to Leave or Remain in the Home and Community Care Sector During the COVID-19 Pandemic.

Home and community care (HCC) nurses experienced increased occupational challenges during the COVID-19 pandemic, including increased workloads, job stressors, and occupational risks, like virus exposure. The objective of this study was to elucidate what factors influenced nurses' decisions to stay in their role, take a temporary leave, or exit HCC during the COVID-19 pandemic. A secondary analysis of data collected using a cross-sectional online open survey distributed among HCC Registered Practical Nurses across Ontario between June and September 2022 was conducted.

Working with AI: The Effect of Job Stress on Hotel Employees' Work Engagement.

Based on the Conservation of Resources (COR) theory and social support theory, this study focuses on the effects of AI-induced stress on hotel employees' work engagement and examines the mediating role of psychological capital and the moderating role of perceived organizational support. A sample of five-star hotels in China was selected for the study, data were analyzed, and hypotheses were tested using SPSS 27.0 and Mplus 7.

High temperature wear and corrosion behavior of detonation sprayed Fe-based amorphous coatings.

FeCrMoCB amorphous coatings were prepared by detonation spraying technology. The coating microstructure, elements distribution, microhardness distribution, wear behaviors under various temperatures and the electrochemical corrosion resistance were discussed, respectively. It was found the amorphous content of the detonation sprayed Fe-based amorphous coating can reach 84.

New methods for deprecating artificial intelligence systems will preserve history and facilitate research.

AI developers and policy makers need to devise methods of commercial model deprecation that balance developers’ reasonable interest in restricting access to outdated models with the value of preserving technological developments and enabling ongoing scientific research across versions.

[Analysis of equity and budgetary sustainability of the pharmaceutical co-payment system in Spain].

Objective: To estimate the impact of a more equitable pharmaceutical co-payment system by eliminating the distinction between active workers and pensioners, using only personal income as an adjustment parameter, defining more detailed income brackets, and introducing protective limits on personal expenditure.

Method: Data from a random sample of 4,505,483 individuals residing in Spain were used, matching pharmaceutical consumption information from the Ministry of Health with economic data from the Tax Agency. Five microsimulation scenarios were designed, modifying co-payment percentages and monthly limits, and the effects on public pharmaceutical spending, the economic burden between patients and the Spanish National Health System, and the redistribution of the burden among patient groups were evaluated.