bluuebunny/crossref_metadata_2025_split huggingface dataset:
YOUTH EMPLOYMENT IN THE DIGITAL ECONOMY
Authors: Belova O. 
Published: February 2023

The article discusses the problems associated with changing the process of youth employment in connection with digitalization. Against the background of the characteristics of the modern youth labor market, a comparative analysis of the features of employment in the 20th and 21st centuries is given, among which the need to change in the 21st in the model of human behavior in the labor market in the digital economy, which requires invariance of behavior and independence in decision-making, the study of prospects is of particular importance. emerging in the economy and the development of an individual educational trajectory, constant self-development and self-learning, readiness to change the type of activity, based on their needs and capabilities. It is shown that the need to change behavior patterns is associated with changes in the conditions in which the modern labor market functions, among which the most important place is occupied by digitalization and globalization of the media, a variety of forms of employment, remote and hybrid forms of work organization, an increase in geographical diversity, expansion of opportunities for people with disabilities, reducing the regulation of activities.
A New Exact Algorithm for Single-Commodity Vehicle Routing with Split Pickups and Deliveries
Authors: Li Jiliu , Luo Zhixing , Baldacci Roberto , Qin Hu , Xu Zhou 
Published: February 2023

We present a new exact algorithm to solve a challenging vehicle routing problem with split pickups and deliveries, named as the single-commodity split-pickup and split-delivery vehicle routing problem (SPDVRP). In the SPDVRP, any amount of a product collected from a pickup customer can be supplied to any delivery customer, and the demand of each customer can be collected or delivered multiple times by the same or different vehicles. The vehicle fleet is homogeneous with limited capacity and maximum route duration. This problem arises regularly in inventory and routing rebalancing applications, such as in bike-sharing systems, where bikes must be rebalanced over time such that the appropriate number of bikes and open docks are available to users. The solution of the SPDVRP requires determining the number of visits to each customer, the relevant portions of the demands to be collected from or delivered to the customers, and the routing of the vehicles. These three decisions are intertwined, contributing to the hardness of the problem. Our new exact algorithm for the SPDVRP is a branch-price-and-cut algorithm based on a pattern-based mathematical formulation. The SPDVRP relies on a novel label-setting algorithm used to solve the pricing problem associated with the pattern-based formulation, where the label components embed reduced cost functions, unlike those classical components that embed delivered or collected quantities, thus significantly reducing the dimension of the corresponding state space. Extensive computational results on different classes of benchmark instances illustrate that the newly proposed exact algorithm solves several open SPDVRP instances and significantly improves the running times of state-of-the-art algorithms. History: Accepted by Andrea Lodi, Area Editor for Design and Analysis of Algorithms–Discrete. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72222011, 71971090, 71821001, 72171112], by the Young Elite Scientists Sponsorship Program by CAST [Grant 2019QNRC001], and by the Research Grants Council of Hong Kong SAR, China [Grant 15221619]. Supplemental Material: The e-companion is available at https://doi.org/10.1287/ijoc.2022.1249 .
Managing Outpatient Service with Strategic Walk-ins
Authors: Liu Nan , van Jaarsveld Willem , Wang Shan , Xiao Guanlian 
Published: February 2023

Outpatient care providers usually allow patients to access service via scheduling appointments or direct walk-in. Patients choose strategically between these two access channels (and otherwise balking) based on the trade-off of appointment delay and in-clinic waiting. How to manage outpatient care with such dual access channels, taking into account patient strategic choice behavior, is a challenge faced by providers. We study three operational levers to address this management challenge: service capacity allocation between these two channels, appointment delay information revelation via the choice and design of online scheduling systems, and a walk-in triage system that restricts the use of walk-in hours only for acute care. By studying a stylized queueing model, we find that neither a real-time online scheduling system (which offers instant access to appointment delay information at time of booking) nor an asynchronous online system (which does not directly provide delay information) can be universally more efficient. Although real-time systems appear more popular in practice, asynchronous systems sometimes can result in higher operational efficiency. Under the provider’s optimal capacity allocation, which scheduling system is more efficient hinges on two key factors: the patient demand–provider capacity relationship and patient willingness to wait. For the walk-in triage system, we find that it may or may not be beneficial to adopt; the provider’s own cost trade-off between lost demand and overtime work is the key determinant. Our research highlights that there is no one-size-fits-all model for outpatient care management, and the best use of operational levers critically depends on the practice environment. This paper was accepted by Jayashankar Swaminathan, operations management. Funding: S. Wang’s work was supported in part by the National Natural Science Foundation of China [Grants 72001220 and 71931008]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.4676 .
Online Learning for Vocational Education: Uncovering Emerging Themes on Perceptions and Experiences
Authors: Roslin Amirah Rasyidah , Rahmatullah Bahbibi , Zain Nor Zuhaidah Mohamed , Purnama Sigit , Yas Qahtan M. 
Published: February 2023

The worldwide spread of the COVID19 pandemic has shifted the teaching of theory and practical sessions in all schools, including in the field of vocational education, to online learning. Theoretical and practical learning in vocational education become more flexible and is not confined to physical space. A systematic literature review of selected research articles was conducted using Systematic Reviews and Meta-Analyses (PRISMA) guidelines based on important keywords of online learning in vocational education. Initially, the research identified 89 articles from Scopus databases by using a specific keywords search. After the screening phase, ten articles were finalized to meet the criteria for review and discussion in this paper. The thematic analysis conducted reveals several exciting topics discussed in this paper; students' experiences, teaching and learning performances, and the teacher and students' perception of online learning for vocational education. The study implies the cruciality of understanding the role of teachers and students in vocational education so online learning can be optimized and conducted efficiently.
Performance evaluation of a simplified power-domain NOMA for visible light communications
Authors: Silva Jair A. Lima , Pizzaia João P. Lebarck , Costa Wesley da Silva , Camporez Higor A. Fim , Pontes Maria J. , Rocha Helder R. de Oliveira , Segatto Marcelo E. Vieira 
Published: February 2023

The performance of a visible light communication (VLC) system based on power-domain nonorthogonal multiple access (PD-NOMA) is experimentally evaluated in this paper. The simplicity of the adopted nonorthogonal scheme is provided by the fixed power allocation method at the transmitter and the single one-tap equalization executed before the successive interference cancellation at the receiver. The experimental results proved the successful transmission of the PD-NOMA scheme with three users in VLC links of up to 2.5 m, after a proper choice of the optical modulation index. All users achieved error vector magnitude (EVM) performances below forward error correction limits in all evaluated transmission distances. At 2.5 m, the user with the best performance reaches an EVM=2.3%.
Influence of structural disorder on plasmonic metasurfaces and their colors—a coupled point dipole approach: tutorial
Authors: Herkert Ediz , Sterl Florian , Both Steffen , Tikhodeev Sergei G. , Weiss Thomas , Giessen Harald 
Published: February 2023

The optical properties of plasmonic metasurfaces are determined not only by the shape and size of the constituting nanostructures, but also by their spatial arrangement. The fast progress in nanofabrication has facilitated the emergence of many advanced metasurface designs that enable controlling the propagation of light on the nanoscale. While simple metasurface designs can be derived from theoretical considerations, it is inevitable to employ computational approaches for complex manipulations of incident light. However, most of the currently available full-wave simulation approaches such as the finite element method (FEM) or finite difference time domain method come with drawbacks that limit the applicability to certain usually simplified or less complex geometries. Within this tutorial, different approaches are outlined for modeling light propagation in complex metasurfaces. We focus on an approach that approximates the nanostructure ensemble as a coupled set of point dipoles and determine their far-field response via the reciprocity theorem. This coupled point dipole approximation (CPDA) model is used to examine randomly distributed, oriented, and scaled nanostructure ensembles. A disorder formalism to introduce the randomness is developed that allows one to progressively perturb periodic arrangements of identical nanostructures and thereby investigate the effects of disorder and correlation. Several disorder metrics are provided that allow one to quantify the disorder, and the relation with the far-field scattering properties is discussed. Spatially and angle resolved hyperspectral datasets are computed for various disordered metasurfaces to assess the capabilities of the CPDA model for different polarization states and incidence angles, among others. The hyperspectral datasets are converted into sRGB color space to deduce the appearances in the image and Fourier planes. Very good agreement of the simulation results with Mie theory, FEM results, and experiments is observed, and possible reasons for the present differences are discussed. The presented CPDA model establishes a highly efficient approach that provides the possibility to rapidly compute the hyperspectral scattering characteristics of metasurfaces with more than 10,000 structures with moderate computational resources, such as state-of-the-art desktop computers with sufficient memory; 16 GB allow for the simulations in this paper, whereas scaling to up to more memory by the factor of N2 allows for the simulation of N times more dipoles. For that reason, the CPDA is a suitable approach for tailoring the bidirectional reflectance distribution function of metasurfaces under consideration of structural perturbations and experimental parameters.
D-dimer levels in non-COVID-19 ARDS and COVID-19 ARDS patients: A systematic review with meta-analysis
Authors: Tóth Krisztina , Fresilli Stefano , Paoli Nicola , Maiucci Giacomo , Salvioni Mariateresa , Kotani Yuki , Katzenschlager Stephan , Weigand Markus A. , Landoni Giovanni 
Published: February 2023

BackgroundHypercoagulability and thrombo-inflammation are the main reasons for death in COVID-19 patients. It is unclear whether there is a difference between D-dimer levels in patients without or with COVID-19 acute respiratory distress syndrome (ARDS).MethodsWe searched PubMed, EMBASE, and ClinicalTrails.gov databases looking for studies reporting D-dimer levels in patients without or with COVID-19 ARDS. Secondary endpoints included length of hospital stay, and mortality data at the longest follow-up available.ResultsWe included 12 retrospective and 3 prospective studies with overall 2,828 patients, of whom 1,404 (49.6%) had non-COVID-19 ARDS and 1,424 had COVID-19 ARDS. D-dimer levels were not significantly higher in non-COVID-19 ARDS than in COVID-19 ARDS patients (mean 7.65 mg/L vs. mean 6.20 mg/L MD 0.88 [CI: -0.61 to 2.38] p = 0.25; I² = 85%) while the length of hospital stay was shorter (non-COVID-19 mean 37.4 days vs. COVID-19 mean 48.5 days, MD -10.92 [CI: -16.71 to -5.14] p < 0.001; I² = 44%). No difference in mortality was observed: non-COVID-19 ARDS 418/1167 (35.8%) vs. COVID-19 ARDS 467/1201 (38.8%).ConclusionsWe found no difference in the mean D-dimer levels between non-COVID-19 ARDS and COVID-19 ARDS patients.
Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study
Authors: Delgado André Berli , Tylden Eline Sol , Lukic Marko , Moi Line , Busund Lill-Tove Rasmussen , Lund Eiliv , Olsen Karina Standahl 
Published: February 2023

Introduction
Breast cancer is the most common cancer worldwide and the leading cause of cancer related deaths among women. The high incidence and mortality of breast cancer calls for improved prevention, diagnostics, and treatment, including identification of new prognostic and predictive biomarkers for use in precision medicine.

Material and methods
With the aim of compiling a cohort amenable to integrative study designs, we collected detailed epidemiological and clinical data, blood samples, and tumor tissue from a subset of participants from the prospective, population-based Norwegian Women and Cancer (NOWAC) study. These study participants were diagnosed with invasive breast cancer in North Norway before 2013 according to the Cancer Registry of Norway and constitute the Clinical and Multi-omic (CAMO) cohort. Prospectively collected questionnaire data on lifestyle and reproductive factors and blood samples were extracted from the NOWAC study, clinical and histopathological data were manually curated from medical records, and archived tumor tissue collected.

Results
The lifestyle and reproductive characteristics of the study participants in the CAMO cohort (n = 388) were largely similar to those of the breast cancer patients in NOWAC (n = 10 356). The majority of the cancers in the CAMO cohort were tumor grade 2 and of the luminal A subtype. Approx. 80% were estrogen receptor positive, 13% were HER2 positive, and 12% were triple negative breast cancers. Lymph node metastases were present in 31% at diagnosis. The epidemiological dataset in the CAMO cohort is complemented by mRNA, miRNA, and metabolomics analyses in plasma, as well as miRNA profiling in tumor tissue. Additionally, histological analyses at the level of proteins and miRNAs in tumor tissue are currently ongoing.

Conclusion
The CAMO cohort provides data suitable for epidemiological, clinical, molecular, and multi-omics investigations, thereby enabling a systems epidemiology approach to translational breast cancer research.
Gender discrimination among women healthcare workers during the COVID-19 pandemic: Findings from a mixed methods study
Authors: Hennein Rachel , Gorman Hannah , Chung Victoria , Lowe Sarah R. 
Published: February 2023

Background
Gender discrimination among women healthcare workers (HCWs) negatively impacts job satisfaction, mental health, and career development; however, few studies have explored how experiences of gender discrimination change during times of health system strain. Thus, we conducted a survey study to characterize gender discrimination during a time of significant health system strain, i.e., the COVID-19 pandemic.

Methods
We used a convenience sampling approach by inviting department chairs of academic medical centers in the United States to forward our online survey to their staff in January 2021. The survey included one item assessing frequency of gender discrimination, and an open-ended question asking respondents to detail experiences of discrimination. The survey also included questions about social and work stressors, such as needing additional childcare support. We used ordinal logistic regression models to identify predictors of gender discrimination, and grounded theory to characterize themes that emerged from open-ended responses.

Results
Among our sample of 716 women (mean age = 37.63 years, SD = 10.97), 521 (72.80%) were White, 102 (14.20%) Asian, 69 (9.60%) Black, 53 (7.4%) Latina, and 11 (1.50%) identified as another race. In an adjusted model that included demographic characteristics and social and work stressors as covariates, significant predictors of higher gender discrimination included younger age (OR = 0.98, 95%CI = 0.96, 0.99); greater support needs (OR = 1.26, 95%CI = 1.09,1.47); lower team cohesion (OR = 0.94, 95%CI = 0.91, 0.97); greater racial discrimination (OR = 1.07, 95%CI = 1.05,1.09); identifying as a physician (OR = 6.59, 95%CI = 3.95, 11.01), physician-in-training (i.e., residents and fellows; OR = 3.85, 95%CI = 2.27,6.52), or non-clinical worker (e.g., administrative assistants; OR = 3.08, 95%CI = 1.60,5.90), compared with nurses; and reporting the need for a lot more childcare support (OR = 1.84, 95%CI = 1.15, 2.97), compared with reporting no childcare support need. In their open-ended responses, women HCWs described seven themes: 1) belittlement by colleagues, 2) gendered workload distributions, 3) unequal opportunities for professional advancement, 4) expectations for communication, 5) objectification, 6) expectations of motherhood, and 7) mistreatment by patients.

Conclusions
Our study underscores the severity of gender discrimination among women HCWs. Hospital systems should prioritize gender equity programs that improve workplace climate during and outside of times of health system strain.
Guidelines’ recommendations for the treatment-resistant depression: A systematic review of their quality
Authors: Gabriel Franciele Cordeiro , Stein Airton Tetelbom , Melo Daniela de Oliveira , Fontes-Mota Gessica Caroline Henrique , dos Santos Itamires Benício , Rodrigues Camila da Silva , Dourado Andrea , Rodrigues Mônica Cristiane , Fráguas Renério , Florez Ivan D. , Correia Diogo Telles , Ribeiro Eliane 
Published: February 2023

Introduction
Depression is a serious and widespread mental health disorder. A significant proportion of patients with depression fail to remit after two antidepressant treatment trials, a condition named treatment-resistant depression (TRD). Clinical practice guidelines (CPGs) are instruments aimed to improve diagnosis and treatment. This study objective is to systematically appraise the quality and elaborate a comparison of high-quality CPGs with high-quality recommendations aimed at TRD.

Methods and analysis
We searched several specialized databases and organizations that develop CPGs. Independent researchers assessed the quality of the CPGs and their recommendations using AGREE II and AGREE-REX instruments, respectively. We selected only high-quality CPGs that included definition and recommendations for TRD. We investigated their divergencies and convergencies as well as weak and strong points.

Results
Among seven high-quality CPGs with high-quality recommendations only two (Germany’s Nationale Versorgungs Leitlinie–NVL and US Department of Veterans Affairs and Department of Defense–VA/DoD) included specific TRD definition and were selected. We found no convergent therapeutic strategy among these two CPGs. Electroconvulsive therapy is recommended by the NVL but not by the VA/DoD, while repetitive transcranial magnetic stimulation is recommended by the VA/DoD but not by the NVL. While the NVL recommends the use of lithium, and a non-routine use of thyroid or other hormones, psychostimulants, and dopaminergic agents the VA/DoD does not even include these drugs among augmentation strategies. Instead, the VA/DoD recommends ketamine or esketamine as augmentation strategies, while the NVL does not mention these drugs. Other differences between these CPGs include antidepressant combination, psychotherapy as a therapeutic augmentation, and evaluation of the need for hospitalization all of which are only recommended by the NVL.

Conclusions
High-quality CPGs for the treatment of depression diverge regarding the definition and use of the term TRD. There is also no convergent approach to TRD from currently high-quality CPGs.
UNDERSTANDING OUR TESTS: HYDROGEN-METHANE BREATH TESTING TO DIAGNOSE SMALL INTESTINAL BACTERIAL OVERGROWTH
Authors: Tansel Aylin , Levinthal David J. 
Published: February 2023

ABSTRACT
There is increasing appreciation that small intestinal bacterial overgrowth (SIBO) drives many common gastrointestinal symptoms, including diarrhea, bloating, and abdominal pain. Breath testing via measurement of exhaled hydrogen and methane gases following ingestion of a readily metabolized carbohydrate has become an important non-invasive testing paradigm to help diagnose SIBO. However, due to a number of physiological and technical considerations, how and when to use breath testing in the diagnosis of SIBO remains a nuanced clinical decision. This narrative review provides a comprehensive overview of breath testing paradigms including the indications for testing, how to administer the test and how patient factors influence breath testing results. We also explore performance characteristics of breath testing (sensitivity, specificity, positive and negative predictive values, likelihood ratios, diagnostic odds ratio). We additionally cover describe complementary and alternative tests for diagnosing SIBO. We discuss applications of breath testing for research. Current estimates of SIBO prevalence among commonly encountered high-risk populations are reviewed to provide pre-test probability estimates under a variety of clinical situations. Finally, we discuss how to integrate breath test performance characteristics into clinical care decisions using clinical predictors and Fagan’s nomogram.
Isolated Cardiac Paraganglioma Encasing Right Coronary Artery With Evidence of Succinyl Dehydrogenase Gene Mutation: Successful Management Using Multimodality Imaging
Authors: Garg Naveen , Pandey Shashank , Madan Shiva , Yadav Subhash , Majumdar Gurango , Jain Neeraj , Jain Manoj 
Published: February 2023

Abstract
This report involves a young woman with isolated cardiac paraganglioma that was diagnosed using 68Gallium-labeled [1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid]-1-NaI3-octreotide positron emission tomographic scintigraphy. For the preoperative evaluation, multimodality imaging accurately described the anatomic location of the tumor and its relationship with the surrounding tissues. The patient underwent successful surgical resection of the tumor along with right coronary artery bypass grafting. The 2-month follow-up scintigraphy was normal. Next-generation sequencing evaluation revealed a novel germline mutation for the succinate dehydrogenase subunit B gene.
Compositional and thermophysical study of Al–Si- and Zn–Al–Mg-based eutectic alloys for latent heat storage
Authors: Kageyama Yusuke , Morita Kazuki 
Published: February 2023

Abstract
In this study, the eutectic temperature and latent heat of Al–Si- and Zn–Al–Mg-based eutectic alloys were determined using differential thermal analysis (DTA) and differential scanning calorimetry measurements in order to identify eutectic alloys for latent heat storage in the eutectic temperature ranges of 450–550 and 300–350°C. First, the eutectic compositions of the Al–Si–Cu–Mg–Zn and Zn–Al–Mg–Sn alloys were identified using scanning electron microscopy with energy-dispersive X-ray spectroscopy and DTA in two steps. In the second step, metallographic analysis was repeated until a uniform eutectic microstructure was obtained. Thermophysical analysis revealed that the eutectic temperatures of several types of Al–Si- and Zn–Al–Mg-based eutectic alloys were within the targeted temperature ranges with relatively high latent heat. These results confirmed that Al–Si- and Zn–Al–Mg-based eutectic alloys have suitable properties as phase change materials for use in the 300–350 and 450–550°C temperature ranges.