bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cohort analysis of driving cessation and limitation among older adults
Authors: Schouten Andrew , Wachs Martin , Blumenberg Evelyn A. , King Hannah R. 
Published: May 2021

AbstractAutomobiles are central to participation in economic, social, and cultural activities in the United States. The ability to drive as one ages is fundamental to the quality of life among older adults. Driving rates decline significantly with age. Researchers using cross-sectional data have studied the reasons former drivers have stopped driving, but few have followed individuals over time to examine changes in relationships among driving cessation, socio-demographics, and health conditions. We used longitudinal data from a national sample of 20,000 observations from the University of Michigan Health and Retirement Study (HRS) to examine relationships among demographic variables, health conditions, and driving reduction and driving cessation. Longitudinal data allow analysis of generational differences in behavior, a major advantage over cross-sectional data which only allow comparisons of different people at one point in time. We found, like many other studies, that personal decisions to limit and eventually stop driving vary with sex, age, and health conditions. In addition, unlike most previous studies, we also found that those relationships differ by birth cohort with younger cohorts less likely to stop and limit their driving than their older counterparts. The findings indicate an evolution in the association between driving cessation and its causes.
The impact of lockdown during the COVID-19 pandemic on mental and social health of children and adolescents
Authors: Luijten Michiel A. J. , van Muilekom Maud M. , Teela Lorynn , Polderman Tinca J. C. , Terwee Caroline B. , Zijlmans Josjan , Klaufus Leonie , Popma Arne , Oostrom Kim J. , van Oers Hedy A. , Haverman Lotte 
Published: May 2021

Abstract
Purpose
During the COVID-19 pandemic in the Netherlands, governmental regulations resulted in a lockdown for adults as well as children/adolescents. Schools were closed and contact with other people was limited. In this cross-sectional, population-based study, we aimed to investigate the mental/social health of children/adolescents during COVID-19 lockdown.

Methods
Two representative samples of Dutch children/adolescents (8–18 years) before COVID-19 (2018, N = 2401) and during lockdown (April 2020, N = 844) were compared on the Patient-Reported Outcomes Measurement Information System (PROMIS) domains: global health, peer relationships, anxiety, depressive symptoms, anger, sleep-related impairment by linear mixed models and calculating relative risks (RR (95% CI)) for the proportion of severe scores. Variables associated with worse mental/social health during COVID-19 were explored through multivariable regression models. The impact of COVID-19 regulations on the daily life of children was qualitatively analyzed.

Results
Participants reported worse PROMIS T-scores on all domains during COVID-19 lockdown compared to before (absolute mean difference range 2.1–7.1 (95% CI 1.3–7.9). During lockdown, more children reported severe Anxiety (RR = 1.95 (1.55–2.46) and Sleep-Related Impairment (RR = 1.89 (1.29–2.78) and fewer children reported poor Global Health (RR = 0.36 (0.20–0.65)). Associated factors with worse mental/social health were single-parent family, ≥ three children in the family, negative change in work situation of parents due to COVID-19 regulations, and a relative/friend infected with COVID-19. A large majority (> 90%) reported a negative impact of the COVID-19 regulations on daily life.

Conclusion
This study showed that governmental regulations regarding lockdown pose a serious mental/social health threat on children/adolescents that should be brought to the forefront of political decision-making and mental healthcare policy, intervention, and prevention.
On a Tauberian theorem of Ingham and Euler–Maclaurin summation
Authors: Bringmann Kathrin , Jennings-Shaffer Chris , Mahlburg Karl 
Published: May 2021

AbstractWe discuss two theorems in analytic number theory and combinatory analysis that have seen increased use in recent years. A corollary to a Tauberian theorem of Ingham allows one to quickly prove asymptotic formulas for arithmetic sequences, so long as the corresponding generating function exhibits exponential growth of a certain form near its radius of convergence. Two common methods for proving the required analytic behavior are modular transformations and Euler–Maclaurin summation. However, these results are sometimes stated without certain technical conditions that are necessary for the complex analytic techniques that appear in Ingham’s proof. We carefully examine the precise statements and proofs of these results, and find that in practice, the technical conditions are satisfied for those cases appearing in recent applications. We also generalize the classical approach of Euler–Maclaurin summation in order to prove asymptotic expansions for series with complex values, simple poles, or multi-dimensional summation indices.
Preferences of Institutional Investors in Commercial Real Estate
Authors: Cvijanović Dragana , Milcheva Stanimira , van de Minne Alex 
Published: May 2021

AbstractIn this paper we analyze market segmentation by firm size in the commercial real estate transaction process. Using novel micro-level data, we look at the probability distribution of investors acquiring a specific bundle of real estate characteristics, distinguishing between investors based on the size of their real estate portfolio. We find evidence of market segmentation by investor size: institutional investors segment across property characteristics based on the size of their real estate portfolio. The probability that a large (small) seller will sell a property to a similar-sized buyer is higher, keeping all else equal. We explore potential drivers of this market segmentation and find that it is mainly driven by investor preferences. During the Global Financial Crisis (GFC), large investors were less likely to buy the ‘average’ property, as compared to the period before or after the crisis, indicating time-varying investor preferences.
Semantic and relational spaces in science of science: deep learning models for article vectorisation
Authors: Kozlowski Diego , Dusdal Jennifer , Pang Jun , Zilian Andreas 
Published: May 2021

AbstractOver the last century, we observe a steady and exponential growth of scientific publications globally. The overwhelming amount of available literature makes a holistic analysis of the research within a field and between fields based on manual inspection impossible. Automatic techniques to support the process of literature review are required to find the epistemic and social patterns that are embedded in scientific publications. In computer sciences, new tools have been developed to deal with large volumes of data. In particular, deep learning techniques open the possibility of automated end-to-end models to project observations to a new, low-dimensional space where the most relevant information of each observation is highlighted. Using deep learning to build new representations of scientific publications is a growing but still emerging field of research. The aim of this paper is to discuss the potential and limits of deep learning for gathering insights about scientific research articles. We focus on document-level embeddings based on the semantic and relational aspects of articles, using Natural Language Processing (NLP) and Graph Neural Networks (GNNs). We explore the different outcomes generated by those techniques. Our results show that using NLP we can encode a semantic space of articles, while GNN we enable us to build a relational space where the social practices of a research community are also encoded.
Compiler-directed scratchpad memory data transfer optimization for multithreaded applications on a heterogeneous many-core architecture
Authors: Tao Xiaohan , Pang Jianmin , Xu Jinlong , Zhu Yu 
Published: May 2021

AbstractThe heterogeneous many-core architecture plays an important role in the fields of high-performance computing and scientific computing. It uses accelerator cores with on-chip memories to improve performance and reduce energy consumption. Scratchpad memory (SPM) is a kind of fast on-chip memory with lower energy consumption compared with a hardware cache. However, data transfer between SPM and off-chip memory can be managed only by a programmer or compiler. In this paper, we propose a compiler-directed multithreaded SPM data transfer model (MSDTM) to optimize the process of data transfer in a heterogeneous many-core architecture. We use compile-time analysis to classify data accesses, check dependences and determine the allocation of data transfer operations. We further present the data transfer performance model to derive the optimal granularity of data transfer and select the most profitable data transfer strategy. We implement the proposed MSDTM on the GCC complier and evaluate it on Sunway TaihuLight with selected test cases from benchmarks and scientific computing applications. The experimental result shows that the proposed MSDTM improves the application execution time by 5.49$$\times$$
×
and achieves an energy saving of 5.16$$\times$$
×
on average.
Dynamic epistemic logics for abstract argumentation
Authors: Proietti Carlo , Yuste-Ginel Antonio 
Published: May 2021

AbstractThis paper introduces a multi-agent dynamic epistemic logic for abstract argumentation. Its main motivation is to build a general framework for modelling the dynamics of a debate, which entails reasoning about goals, beliefs, as well as policies of communication and information update by the participants. After locating our proposal and introducing the relevant tools from abstract argumentation, we proceed to build a three-tiered logical approach. At the first level, we use the language of propositional logic to encode states of a multi-agent debate. This language allows to specify which arguments any agent is aware of, as well as their subjective justification status. We then extend our language and semantics to that of epistemic logic, in order to model individuals’ beliefs about the state of the debate, which includes uncertainty about the information available to others. As a third step, we introduce a framework of dynamic epistemic logic and its semantics, which is essentially based on so-called event models with factual change. We provide completeness results for a number of systems and show how existing formalisms for argumentation dynamics and unquantified uncertainty can be reduced to their semantics. The resulting framework allows reasoning about subtle epistemic and argumentative updates—such as the effects of different levels of trust in a source—and more in general about the epistemic dimensions of strategic communication.
Initiation of therapy for obstructive sleep apnea syndrome: a randomized comparison of outcomes of telemetry-supported home-based vs. sleep lab-based therapy initiation
Authors: Fietze Ingo , Herberger Sebastian , Wewer Gina , Woehrle Holger , Lederer Katharina , Lips Aline , Willes Leslee , Penzel Thomas 
Published: May 2021

Abstract
Purpose
Diagnosis and treatment of obstructive sleep apnea are traditionally performed in sleep laboratories with polysomnography (PSG) and are associated with significant waiting times for patients and high cost. We investigated if initiation of auto-titrating CPAP (APAP) treatment at home in patients with obstructive sleep apnea (OSA) and subsequent telemonitoring by a homecare provider would be non-inferior to in-lab management with diagnostic PSG, subsequent in-lab APAP initiation, and standard follow-up regarding compliance and disease-specific quality of life.

Methods
This randomized, open-label, single-center study was conducted in Germany. Screening occurred between December 2013 and November 2015. Eligible patients with moderate-to-severe OSA documented by polygraphy (PG) were randomized to home management or standard care. All patients were managed by certified sleep physicians. The home management group received APAP therapy at home, followed by telemonitoring. The control group received a diagnostic PSG, followed by therapy initiation in the sleep laboratory. The primary endpoint was therapy compliance, measured as average APAP usage after 6 months.

Results
The intention-to-treat population (ITT) included 224 patients (110 home therapy, 114 controls); the per-protocol population (PP) included 182 patients with 6-month device usage data (89 home therapy, 93 controls). In the PP analysis, mean APAP usage at 6 months was not different in the home therapy and control groups (4.38 ± 2.04 vs. 4.32 ± 2.28, p = 0.845). The pre-specified non-inferiority margin (NIM) of 0.3 h/day was not achieved (p = 0.130); statistical significance was achieved in a post hoc analysis when NIM was set at 0.5 h/day (p < 0.05). Time to APAP initiation was significantly shorter in the home therapy group (7.6 ± 7.2 vs. 46.1 ± 23.8 days; p < 0.0001).

Conclusion
Use of a home-based telemonitoring strategy for initiation of APAP in selected patients with OSA managed by sleep physicians is feasible, appears to be non-inferior to standard sleep laboratory procedures, and facilitates faster access to therapy.
Autonomous pick-and-place using the dVRK
Authors: D’Ettorre Claudia , Stilli Agostino , Dwyer George , Tran Maxine , Stoyanov Danail 
Published: May 2021

Abstract
Purpose
Robotic-assisted partial nephrectomy (RAPN) is a tissue-preserving approach to treating renal cancer, where ultrasound (US) imaging is used for intra-operative identification of tumour margins and localisation of blood vessels. With the da Vinci Surgical System (Sunnyvale, CA), the US probe is inserted through an auxiliary access port, grasped by the robotic tool and moved over the surface of the kidney. Images from US probe are displayed separately to the surgical site video within the surgical console leaving the surgeon to interpret and co-registers information which is challenging and complicates the procedural workflow.

Methods
We introduce a novel software architecture to support a hardware soft robotic rail designed to automate intra-operative US acquisition. As a preliminary step towards complete task automation, we automatically grasp the rail and position it on the tissue surface so that the surgeon is then able to manipulate manually the US probe along it.

Results
A preliminary clinical study, involving five surgeons, was carried out to evaluate the potential performance of the system. Results indicate that the proposed semi-autonomous approach reduced the time needed to complete a US scan compared to manual tele-operation.

Conclusion
Procedural automation can be an important workflow enhancement functionality in future robotic surgery systems. We have shown a preliminary study on semi-autonomous US imaging, and this could support more efficient data acquisition.
Migration and justice in the era of sustainable development goals: a conceptual framework
Authors: Janker Judith , Thieme Susan 
Published: May 2021

AbstractMigration and mobility are major characteristics of societies worldwide. The reasons for and pathways of migrations vary, as do perceptions of migration. Political debates are often organised normatively: the debate on the sustainable development goals presents migration foremost as a development issue resulting from global inequalities. The problems faced by particular migrants, and what a more sustainable approach to migration would look like are, therefore, often lost in political debates. We aim to address those gaps: the article conceptualizes, based on established academic debates, how sustainability in migration can be addressed systematically, which aspects are important for a more sustainable migration process and which trade-offs and injustices exist from several perspectives. We create a conceptual framework of sustainability in migration processes, building on the concepts of inter- and intragenerational justice, commonly accepted as the core of the sustainability concept. We apply this conceptual framework to empirical findings on labour migration and multilocality in Kyrgyzstan. The case enables consideration of the nested system effects of scale and translocality. This research is novel because it bridges the divided literature on migration, justice and sustainability, integrates theoretical and empirical insights and provokes a debate on which kind of migration we want to achieve.
Carbon stock and sink economic values of forest ecosystem in the forest industry region of Heilongjiang Province, China
Authors: Li Mingjuan 
Published: May 2021

AbstractThe values of forest carbon stock (CSV) and carbon sink (COV) are important topics in the global carbon cycle. We quantitatively analyzed the factors affecting changes in both for forest ecosystem in 2000−2015. With multiple linear stepwise regression analysis, we obtained the factors that had a significant impact on changes of CSV and COV, and then the impacts of these variables on CSV and COV were used for further quantitative analysis using the vector autoregressive model. Our results indicated that both stand age and afforestation area positively affect CSV and COV; however, the forest enterprise gross output value negatively affects CSV. Stand age has the largest long-term cumulative impact on CSV and COV, reaching 40.4% and 9.8%, respectively. The impact of enterprise gross output value and afforestation area on CSV and COV is the smallest, reaching 4.0% and 0.3%, respectively.
Adolescents and primary herpetic gingivostomatitis: an Italian overview
Authors: Bardellini Elena , Amadori Francesca , Veneri Federica , Conti Giulio , Paderno Alberto , Majorana Alessandra 
Published: May 2021

Abstract
Aim
The aim of this study was to investigate the therapies administered to Italian adolescents with primary herpetic gingivostomatitis (PHGS)

Methods
The medical records of 74 adolescents with PHSG were reviewed. The following data were recorded: age, gender, day of onset, type of treatment, lesions’ severity, pain scoring, eating, and drinking ability. The oral examination was performed at the first evaluation (T0) and after one week (T1).

Results
All patients showed up at the first visit at least 48 h after the onset of symptoms. No patient was prescribed an antiviral therapy. An antibiotic therapy was prescribed in order to prevent secondary bacterial infections. Fifteen patients had been treated with non alcoholic chlorhexidine rinses (group A), 29 patients with non alcoholic chlorhexidine rinses plus hyaluronic acid gel (group B); 30 patients with non alcoholic chlorhexidine rinses plus Mucosyte® (group C). A significant improvement of the pain scoring and lesions’ severity was noted in group C.

Conclusion
In Italian adolescents, PHGS is diagnosed at least 48 h after onset and the antibiotic therapy is widely prescribed in order to prevent overinfections. Among topical therapies, an association of verbascoside and sodium hyaluronhate seems to favour a faster healing.
Atmospheric mercury pollution: the current methodological framework outlined by environmental legislation
Authors: Ciani Francesco , Rimondi Valentina , Costagliola Pilario 
Published: May 2021

AbstractMercury is a toxic pollutant that exists in the atmosphere in several forms, operationally identified according to their chemical and physical characteristics. The problem of atmospheric mercury pollution has recently received increasing attention, as evidenced by the numerous European regulations issued in the last years. The normative question is closely related to the methodological one, as the quantification of the mercury species is strictly linked to the sampling and analysis methods. Due to their different bioavailability, airborne mercury forms detection is fundamental both in outdoor and indoor (i.e., workplace) environments. This paper presents an overview of European legislation on atmospheric mercury pollution, with particular attention to the Italian legislation. Starting from the regulatory protocols, the methodological framework for mercury quantification was reviewed, underlining the limits and the problems of the different methodologies and providing new guidance for the analysis. Regulatory and methodological updates have led to great specificity in mercury quantification, which is distinguished for the outdoor and indoor environments. For workplace environments, all mercury species (i.e., gaseous and particulate mercury) are required to be quantified by the Italian legislation; on the contrary, only gaseous compounds are monitored in outdoor conditions. It hence appears of primary importance that the monitoring operator chooses the sampling and analytical method for mercury sampling and analysis that correctly adheres to the normative regulations. Detailed norms describe how to carry on the monitoring in both outdoor and indoor conditions, preventing the operator’s arbitrariness, which otherwise can lead to airborne mercury underestimation/overestimation.
Garfinkel’s Politics: Collaborating with Parsons to Document Taken-for-Granted Practices for Assembling Cultural Objects and their Grounding in Implicit Social Contract
Authors: Rawls Anne W. , Turowetz Jason 
Published: May 2021

AbstractFrom his 1940–1942 studies of Race, through his 1967 study of an “inter-sexed” person called Agnes, Garfinkel’s researchwas always politically engaged. When Garfinkel was Parsons’ PhD student at Harvard (1946–1952) and later during a period of collaboration with Parsons (1958–1964), both theorized culture as a domain of social interaction independent from social structure and resting on its own implicit social contract. This conception of culture grounded their respective “voluntaristic” and “reciprocity” based approaches to specifying assembly processes for making social categories in a way that put the empirical assembly of categories under a microscope and made social justice a scientific concern. Garfinkel emphasized the importance of social contract aspects of Parsons’ theory – adapted from Durkheim – and with his studies in ethnomethodology, planned to contribute an empirical foundation for aspects of Parsons’ position that were criticized for their abstraction. Nevertheless, important differences remained. Parsons’ model required assimilation and consensus, thus inadvertently enforcing existing inequalities. Garfinkel, by contrast, was deeply concerned with “structural problems” like inequality, and treatedassimilationistpositions as scientifically and ethically unsound. His research documented reciprocity as a pre-requisite for successful interaction, while treating “troubles” generated by inequality as an important key to understanding social order writ large.