bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wu’s seven steps for endoscopic central and lateral neck dissection via breast combined with oral approach for papillary thyroid cancer
Authors: Wang Yuanyuan , Luo Yezhe , Wu Guoyang , Lin Suqiong , Fu Yilong 
Published: April 2023

Abstract
Objective
We had previously reported endoscopic central and lateral neck dissection via breast combined with an oral approach for papillary thyroid cancer treatment. In this study, we optimized the procedure with Wu’s seven steps to make the procedure quicker and easier.

Methods
Wu’s seven steps for endoscopic central and lateral neck dissection via breast combined with oral approach for papillary thyroid cancer are: (1) establish the working space, (2) isolate the sternocleidomastoid and internal jugular vein, (3) dissect the thyroid via breast approach, (4) dissect the central lymph nodes via oral approach, (5) dissect the inferior board of level IV via oral approach, (6) remove the tissues of levels IV, III, and II via breast approach, and (7) wash the working space and place drainage tubes. Twelve patients were assigned to the Wu’s seven steps group, and 13 patients were assigned to the contrast group. The operative procedure of the contrast group was the same as Wu’s seven steps except for a few key differences, such as that the central lymph nodes were dissected via breast approach first and the internal jugular vein(IJV) was dissected from the cricoid cartilage down to the venous angle.

Results
The Wu’s seven steps group had a short operation time and few injuries of the internal jugular vein. There were no statistical differences in other clinicopathological features or surgical complications.

Conclusion
It appears that Wu’s seven steps for endoscopic central and lateral neck dissection via breast combined with oral approach for papillary thyroid cancer are effective and safe.
Early and sustained increase in time in range 1 year after initiation of hybrid close loop therapy via telemedicine in type 1 diabetes patients
Authors: Gómez Ana M. , Henao Diana , Parra Darío , Kerguelen Alfonso , Jaramillo Pablo , Gómez Yaline , Muñoz Oscar Mauricio , Rondón Martin 
Published: April 2023

Abstract
Background and Aims
Evidence supports the efficacy and safety of the Hybrid Close loop (HCL) system in patients with type 1 diabetes (T1D). However, limited data are available on the long-term outcomes of patients on HCL with telemedicine follow-up.

Methods
A prospective observational cohort study including T1D patients, who were upgrading to HCL system. Virtual training and follow-up were done through telemedicine. CGM data were analyzed to compare the baseline time in range (TIR), time below range (TBR), glycemic variability and auto mode (AM), with measurements performed at 3, 6 and 12 months.

Results
134 patients were included with baseline A1c 7.6% ± 1.1. 40.5% had a severe hypoglycemia event in the last year. Baseline TIR, measured two weeks after starting AM was 78.6 ± 9.94%. No changes were evident at three (Mean difference − 0.15;CI-2.47,2.17;p = 0.96), six (MD-1.09;CI-3.42,1.24;p = 0.12) and 12 months (MD-1.30;CI-3.64,1.04;p = 0.08). No significant changes were found in TBR or glycemic variability throughout the follow-up. Use of AM was 85.6 ± 17.5% and percentage of use of sensor was 88.75 ± 9.5% at 12 months. No severe hypoglycemic (SH) events were reported.

Conclusions
HCL systems allow to improve TIR, TBR and glycemic variability safely, early and sustained up to 1 year of follow-up in patients with T1D and high risk of hypoglycemia followed through telemedicine.
Choosing an insulin injector by a structured, pharmaceutical-neutral curriculum via an informed shared decision-making process in 349 insulin-naive patients with diabetes mellitus
Authors: Mertes Bernardo , Gödde Sybille , Kloos Christof , Kuniß Nadine 
Published: April 2023

Background
The national guideline for diabetes type 2 claims to involve patients in their decision-making on therapy. Unfortunately, no structured, pharmaceutical-neutral curriculum is available to guide patients in this shared decision-making (SDM) process regarding the insulin injector. The aim of the study was to evaluate which injector patients chose after SDM process and the reasons for their choice.

Methods
We developed a curriculum for a SDM process to choose an insulin injector for insulin-naive patients with diabetes mellitus, which took place immediately before the start of the initial treatment with insulin. It was conducted by a physician or diabetes educator with no conflicts of interest. All available human short-acting disposable insulin injectors (A, B and C) were handed out for try-out accompanied by individual counselling. The patients selected their injector of choice and were asked immediately afterwards about the criteria for their selection.

Results
349 consecutive patients (94% diabetes type 2; age 58.6 + 13.4y; HbA1c 10.4 + 2.1%) were included. Patients choose Injector A in 10.0%, B in 61.9% and C in 28.1%. Criteria for selection were: design (41.8%), general impression (23.5%), dose window (7.7%), dose selection dial (7.4%), most practical (6.6%) and other (13%). Selection of a specific injector was not associated with age, diabetes type, diabetes duration, BMI, HbA1c, presence of concomitant diseases, retinopathy, neuropathy, diabetic foot or physician/diabetes educator.

Discussion
Insulin-naive patients with diabetes mellitus chose their own insulin injector within a newly developed structured SDM process to meet the national guideline. Main selection criteria were design and practicability.
A Multilevel Meta-analysis of Single-Case Research on Interventions for Internalizing Disorders in Children and Adolescents
Authors: Maric Marija , Schumacher Lea , Van den Noortgate Wim , Bettelli Linda , Engelbertink Wies , Stikkelbroek Yvonne 
Published: April 2023

AbstractThe effectiveness of interventions for internalizing disorders in children and adolescents was studied using a review and meta-analysis of published single-case research. Databases and other resources were searched for quantitative single-case studies in youth with anxiety, depressive, and posttraumatic stress disorders. Raw data from individual cases were aggregated and analyzed by means of multilevel meta-analytic models. Outcome variables were symptom severity assessed across baseline and treatment phases of the studies, and diagnostic status at post- and follow-up treatment. Single-case studies were rated for quality. We identified 71 studies including 321 cases (Mage = 10.66 years; 55% female). The mean quality of the studies was rated as below average, although there were considerable differences between the studies.Overall, positive within-person changes during the treatment phase in comparison to the baseline phase were found. In addition, positive changes in the diagnostic status were observed at post- and follow-up treatment. Yet high variability in treatment effects was found between cases and studies. This meta-analysis harvests the knowledge from published single-case research in youth-internalizing disorders and illustrates how within-person information from single-case studies can be summarized to explore the generalizability of the results from this type of research. The results emphasize the importance of keeping account of individual variability in providing and investigating youth interventions.
Student experience and digital storytelling: Integrating the authentic interaction of students work, life, play and learning into the co-design of university teaching practices
Authors: Bryant Peter 
Published: April 2023

AbstractDesigning strategic pedagogical change through the lens of a student experience that is yet to be experienced offers a critical frame for embedding the impacts of transition, uncertainty, belonging and the complexity of the student journey into the co-design of teaching and learning. A digital storytelling approach extends the notion of the student experience beyond the singular and metricised descriptions common in online student satisfaction survey instruments into a rhizomatic, resonant living community that resides in the intersecting spaces of work, life, play and learning. This paper describes an ethnographic-like model of collecting and evaluating the student experience through a semi-structured digital storytelling methodology that supports both co-design and cogenerative dialogue as a form of curriculum enhancement. The paper outlines how the Student Experience Digital Storytelling model was iteratively designed, deployed, and then evaluated through participatory action research-informed case studies at the University of Sydney Business School (Australia) and the London School of Economics and Political Science (United Kingdom) that embedded the student experience into the co-design of curriculum and assessment interventions.
Impact of COVID-19 on hospital screening, diagnosis and treatment activities among prostate and colorectal cancer patients in Canada
Authors: Lee Shin-Haw , Ojo Andrew Toye , Halat Matthew , Bleibdrey Nataly , Zhang Steven , Chalmers Rob , Zimskind Dan 
Published: April 2023

Abstract
Background
Suspension of cancer screening and treatment programs were instituted to preserve medical resources and protect vulnerable populations. This research aims to investigate the implications of COVID-19 on cancer management and clinical outcomes for patients with prostate and colorectal cancer in Canada.

Methods
We examined hospital cancer screening, diagnosis, treatment, length of stay, and mortality data among prostate and colorectal cancer patients between April 2017 and March 2021. Baseline trends were established with data between April 2017 and March 2020 for comparison with data collected between April 2020 and March 2021. Scenario analyses were performed to assess the incremental capacity requirements needed to restore hospital cancer care capacities to the pre-pandemic levels.

Results
For prostate cancer, A 12% decrease in diagnoses and 5.3% decrease in treatment activities were observed during COVID-19 between April 2020 and March 2021. Similarly, a 43% reduction in colonoscopies, 11% decrease in diagnoses and 10% decrease in treatment activities were observed for colorectal cancers. An estimated 1,438 prostate and 2,494 colorectal cancer cases were undiagnosed, resulting in a total of 620 and 1,487 unperformed treatment activities for prostate and colorectal cancers, respectively, across nine provinces in Canada. To clear the backlogs of unperformed treatment procedures will require an estimated 3%-6% monthly capacity increase over the next 6 months.

Interpretation.
A concerted effort from all stakeholders is required to immediately ameliorate the backlogs of cancer detection and treatment activities. Mitigation measures should be implemented to minimize future interruptions to cancer care in Canada.
Single-FiO2 lung modelling with machine learning: a computer simulation incorporating volumetric capnography
Authors: Morgan Thomas J. , Scott Peter H. , Langley Adrian N. , Barrett Robin D. C. , Anstey Christopher M. 
Published: April 2023

AbstractWe investigated whether machine learning (ML) analysis of ICU monitoring data incorporating volumetric capnography measurements of mean alveolar PCO2 can partition venous admixture (VenAd) into its shunt and low V/Q components without manipulating the inspired oxygen fraction (FiO2). From a 21-compartment ventilation / perfusion (V/Q) model of pulmonary blood flow we generated blood gas and mean alveolar PCO2 data in simulated scenarios with shunt values from 7.3% to 36.5% and a range of FiO2 settings, indirect calorimetry and cardiac output measurements and acid- base and hemoglobin oxygen affinity conditions. A ‘deep learning’ ML application, trained and validated solely on single FiO2 bedside monitoring data from 14,736 scenarios, then recovered shunt values in 500 test scenarios with true shunt values ‘held back’. ML shunt estimates versus true values (n = 500) produced a linear regression model with slope = 0.987, intercept = -0.001 and R2 = 0.999. Kernel density estimate and error plots confirmed close agreement. With corresponding VenAd values calculated from the same bedside data, low V/Q flow can be reported as VenAd—shunt. ML analysis of blood gas, indirect calorimetry, volumetric capnography and cardiac output measurements can quantify pulmonary oxygenation deficits as percentage shunt flow (V/Q = 0) versus percentage low V/Q flow (V/Q > 0). High fidelity reports are possible from analysis of data collected solely at the operating FiO2.
How Does Case Law Shape Civil Law Systems? An Analysis of Spanish Administrative Courts
Authors: Egea-de Haro Alfonso 
Published: April 2023

AbstractThe paper explores the use of case law by Spanish administrative courts. Based on a database of 2964 sentences, a content analysis captures the integration of case law into the legal basis of court rulings. Even though case law is not listed as a source of law in the Spanish legal system, courts follow case law from either the same sentencing court (self-referential pattern) or higher courts (hierarchical pattern). The results of a logistic regression analysis point to a higher level of regulatory complexity and the configuration of the appellate procedures as incentives to integrate higher courts’ case law.
Exploring Barriers to Healthy Eating Among Women in Their Role as New Mothers with a Theory-Driven Questionnaire
Authors: Moura Andreia Ferreira , Aschemann-Witzel Jessica 
Published: April 2023

Abstract
Objectives
This study aims to propose and evaluate a theory-driven questionnaire addressing barriers to healthy eating among mothers of young children.

Methods
Statements drawing upon the Social Cognitive Theory were developed/gathered based on literature review and previous qualitative research. Part I (43 items) included general barriers, attitudes to nutrition advice and outcome expectations. Part II (9 items) included subjective knowledge and general self-efficacy scales. An online survey was undertaken with 267 Danish women. The validation process included content and face validity, exploratory factor analysis (EFA) and reliability analysis. Confirmatory factor analysis (CFA) tested possible associations between the constructs and potential health outcomes (BMI and healthiness of eating habits).

Results
The EFA supported an adequate factorial validity with a 5-factor, 37-item structure model for Part I, and a high internal reliability of Parts I and II (Cronbach’s alpha > 0.7). The CFA revealed an association between certain constructs and perceived healthiness of eating and BMI. Results support the reliability and factorial validity of the social cognitive measures assessing barriers to healthy eating among mothers.

Conclusions for Practice
These promising findings of reliability and initial validity suggest that researchers and practitioners interested in identifying women who face difficulties in the family food environment may find the scales useful. We propose a short version of the questionnaire for health practitioners.
Ideals, bands and direct sum decompositions in mixed lattice vector spaces
Authors: Jokela Jani 
Published: April 2023

AbstractA mixed lattice vector space is a partially ordered vector space with two partial orderings and certain lattice-type properties. In this paper we first give some fundamental results in mixed lattice groups, and then we investigate the structure theory of mixed lattice vector spaces, which can be viewed as a generalization of the theory of Riesz spaces. More specifically, we study the properties of ideals and bands in mixed lattice spaces, and the related idea of representing a mixed lattice space as a direct sum of disjoint bands. Under certain conditions, these decompositions can also be given in terms of order projections.
A process-based approach to health-related quality of life as a “way of living”
Authors: Nolan R. P. , Sharpe M. J. 
Published: April 2023

Abstract
Introduction
There is an historical initiative to establish common theoretical ground to support a framework for assessing health-related quality of life (HRQL). Our aim was to add to this effort with an analysis of theoretical/philosophical themes embedded in HRQL questionnaires and patient reports.

Methods and Results
We reviewed recent developments in HRQL assessment. This included analyzing a representative sample of psychometric measures of HRQL to schematically summarize core theoretical/philosophical themes that are embedded in questionnaire items. This analysis indicated a state-based framework for HRQL that was characterized by themes of hedonic and eudaimonic well-being, and desire-satisfaction. In contrast, a review of patient reports of HRQL indicated a process-based framework where goal-directed activities aimed to secure aspirational life goals while striving to accept the reality of declining health. Given this difference in HRQL themes we used a meta-philosophical approach, based on Hadot’s idea of philosophy as a way of living, to identify a process-based theoretical framework for HRQL assessment that addressed patient-reported themes. The Stoic modification of eudaimonic well-being was examined where HRQL and well-being are viewed as a process (vs. state) aimed at transforming the experience of loss or grief in response to adversity through goal-directed activities/exercises (euroia biou, good flow in life). We then introduced a complementary research agenda for HRQL assessment that incorporates self-reported, goal-directed activities that are initiated or maintained to promote HRQL.

Conclusion
A process-based approach to HRQL assessment may increase the spectrum of clinically relevant features that currently comprise operational measures of this patient-reported appraisal.
Suitability of the animated activity questionnaire for use as computer adaptive test: establishing the AAQ-CAT
Authors: Liegl Gregor , Roorda Leo D. , Terwee Caroline B. , Steultjens Martijn , Roos Ewa M. , Guillemin Francis , Benedetti Maria Grazia , Dagfinrud Hanne , de Carvalho Bastone Alessandra , Peter Wilfred F. 
Published: April 2023

Abstract
Purpose
The animated activity questionnaire (AAQ) is a computer-based measure of activity limitations. To answer a question, patients choose the animation of a person performing an activity that matches their own level of limitation. The AAQ has not yet been tested for suitability to be applied as computer-adaptive test (CAT). Thus, the objective of this study was to develop and evaluate an AAQ-based CAT to facilitate the application of the AAQ in daily clinical care.

Methods
Patients (n = 1408) with hip/knee osteoarthritis from Brazil, Denmark, France, The Netherlands, Norway, Spain, and the UK responded to all 17 AAQ items. Assumptions of item-response theory (IRT) modelling were investigated. To establish item parameters for the CAT, a graded response model was estimated. To evaluate the performance of post-hoc simulated AAQ-based CATs, precision, test length, and construct validity (correlations with well-established measures of activity limitations) were evaluated.

Results
Unidimensionality (CFI = 0.95), measurement invariance (R2-change < 2%), and IRT item fit (S-X2p > .003) of the AAQ were supported. Performing simulated CATs, the mean test length was more than halved (≤ 8 items), while the range of precise measurement (standard error ≤ 0.3) was comparable to the full AAQ. The correlations between original AAQ scores and three AAQ-CAT versions were ≥ 0.95. Correlations of AAQ-CAT scores with patient-reported and performance measures of activity limitations were ≥ 0.60.

Conclusion
The almost non-verbal AAQ-CAT is an innovative and efficient tool in patients with hip/knee osteoarthritis from various countries, measuring activity limitations with lower respondent burden, but similar precision and construct validity compared to the full AAQ.
Home ranges of box turtles in a rural woodland and an urban park in Saint Louis, MO; implications for turtle conservation
Authors: Blake Stephen , Palmer Jamie , Brenn-White Maris , Deem Sharon L. 
Published: April 2023

AbstractThe negative consequences of fragmentation, infrastructure development, and urbanization on biodiversity are well known. However, careful urban planning can provide viable habitat for some species and communities. Generally, r-selected species are more likely to persist in urbanizing landscapes, while long lived, mobile species, such as turtles, are likely to decline toward extinction. Understanding species responses across urban gradients is important for developing mitigation planning. We used VHF telemetry to quantify ranging behavior of three-toed box turtles in fragmented urban forest patches and a semi-contiguous large rural forest in Saint Louis, Missouri. We then simulated movement trajectories based on empirical data from the two turtles with the largest and smallest home ranges, overlaid on forest cover and road network maps of Missouri, to quantify the state-wide probability of turtles encountering roads. Home range (HR) size varied from 1–250Ha. The mean home range estimate of rural turtles was > 9 times larger than that of urban turtles. Simulations indicated that the least mobile turtle (HR 1Ha) would have a 22% likelihood of encountering a road if placed randomly in suitable habitat anywhere in the state. The likelihood increased to 90% for the most mobile turtle (HR 250Ha), with 10 road crossings per year. High turtle mortality, range restriction and population fragmentation are likely even in rural areas. In urban cityscapes, large, roadless forest patches offer the highest conservation potential for this species.
Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study
Authors: Buelvas Julio , Múnera Danny , Tobón V. Diana P. , Aguirre Johnny , Gaviria Natalia 
Published: April 2023

AbstractWith the development of new technologies, particularly Internet of Things (IoT), there has been an increase in the deployment of low-cost air quality monitoring systems. Compared to traditional robust monitoring stations, these systems provide real-time information with higher spatio-temporal resolution. These systems use inexpensive and low-cost sensors, with lower accuracy as compared to robust systems. This fact has raised some concern regarding the quality of the data gathered by the IoT systems, which may compromise the performance of the environmental models. Considering the relevance of the data quality in this scenario, this paper presents a study of the data quality associated with IoT-based air quality monitoring systems. Following a systematic mapping method, and based on existing guidelines to assess data quality in these systems, we have identified the main Data Quality (DQ) dimensions and the corresponding DQ enhancement techniques. After analyzing more than 70 papers, we found that the most common DQ dimensions targeted by the different works are accuracy and precision, which are enhanced by the use of different calibration techniques. Based on our findings, we present a discussion on the challenges that must be addressed in order to improve data quality in IoT-based air quality monitoring systems.