bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi-temperature universe can allow a sub-MeV dark photon dark matter
Authors: Aboubrahim Amin , Feng Wan-Zhe , Nath Pran , Wang Zhu-Yao 
Published: June 2021

Abstract
An analysis of sub-MeV dark photon as dark matter is given which is achieved with two hidden sectors, one of which interacts directly with the visible sector while the second has only indirect coupling with the visible sector. The formalism for the evolution of three bath temperatures for the visible sector and the two hidden sectors is developed and utilized in solution of Boltzmann equations coupling the three sectors. We present exclusion plots where the sub-MeV dark photon can be dark matter. The analysis can be extended to a multi-temperature universe with multiple hidden sectors and multiple heat baths.
β-Adrenergic blockade in patients with dementia and hip fracture is associated with decreased postoperative mortality
Authors: Ioannidis Ioannis , Mohammad Ismail Ahmad , Forssten Maximilian Peter , Cao Yang , Bass Gary Alan , Borg Tomas , Mohseni Shahin 
Published: June 2021

Abstract
Purpose
Dementia, present in 20% of hip fracture patients, is associated with an almost threefold increase in postoperative mortality risk. These patients have a substantially higher incidence of cardiovascular, respiratory, and cerebrovascular mortality after hip fracture surgery compared to patients without dementia. This study aimed to investigate the association between beta-blocker therapy and postoperative mortality in patients with dementia undergoing hip fracture surgery.

Methods
This nationwide study included all patients in Sweden with the diagnosis of dementia who underwent emergency surgery for a hip fracture between January 2008 and December 2017. Cases where the hip fracture was pathological or conservatively managed were not included. Poisson regression analysis with robust standard errors was performed while controlling for confounders to determine the relationship between beta-blocker therapy and all-cause, as well as cause-specific, postoperative mortality.

Results
A total of 26,549 patients met the study inclusion criteria, of whom 8258 (31%) had ongoing beta-blocker therapy at time of admission. After adjusting for clinically relevant variables, the incidence of postoperative mortality in patients receiving beta-blocker therapy was decreased by 50% at 30 days [adj. IRR (95% CI) 0.50 (0.45–0.54), p < 0.001] and 34% at 90 days [adj. IRR (95% CI) 0.66 (0.62–0.70), p < 0.001]. Cause-specific mortality analysis demonstrated a significant reduction in the incidence of postoperative cardiovascular, respiratory, and cerebrovascular death within 30 and 90 days postoperatively.

Conclusion
Beta-blocker therapy is associated with decreased postoperative mortality in hip fracture patients with dementia up to 90 days after surgery. This finding warrants further investigation.
Scoring systems for early prediction of tibial fracture non-union: an update
Authors: Chloros George D. , Kanakaris Nikolaos K. , Vun James S. H. , Howard Anthony , Giannoudis Peter V. 
Published: June 2021

Abstract
Purpose
To evaluate the available tibial fracture non-union prediction scores and to analyse their strengths, weaknesses, and limitations.

Methods
The first part consisted of a systematic method of locating the currently available clinico-radiological non-union prediction scores. The second part of the investigation consisted of comparing the validity of the non-union prediction scores in 15 patients with tibial shaft fractures randomly selected from a Level I trauma centre prospectively collected database who were treated with intramedullary nailing.

Results
Four scoring systems identified: The Leeds-Genoa Non-Union Index (LEG-NUI), the Non-Union Determination Score (NURD), the FRACTING score, and the Tibial Fracture Healing Score (TFHS). Patients demographics: Non-union group: five male patients, mean age 36.4 years (18–50); Union group: ten patients (8 males) with mean age 39.8 years (20–66). The following score thresholds were used to calculate positive and negative predictive values for non-union: FRACTING score ≥ 7 at the immediate post-operative period, LEG-NUI score ≥ 5 within 12 weeks, NURD score ≥ 9 at the immediate post-operative period, and TFHS < 3 at 12 weeks. For the FRACTING, LEG-NUI and NURD scores, the positive predictive values for the development of non-union were 80, 100, 40% respectively, whereas the negative predictive values were 60, 90 and 90%. The TFHS could not be retrospectively calculated for robust accuracy.

Conclusion
The LEG-NUI had the best combination of positive and negative predictive values for early identification of non-union. Based on this study, all currently available scores have inherent strengths and limitations. Several recommendations to improve future score designs are outlined herein to better tackle this devastating, and yet, unsolved problem.
Implementation of tele visit healthcare services triggered by the COVID-19 emergency: the Trentino Province experience
Authors: Testa Sara , Mayora-Ibarra Oscar , Piras Enrico Maria , Balagna Olivia , Micocci Stefano , Zanutto Alberto , Forti Stefano , Conforti Diego , Nicolini Andrea , Malfatti Giulia , Moz Monica , Gios Lorenzo , Benetollo Pier Paolo , Turra Ettore , Orrasch Massimo , Zambotti Francesca , Del Greco Maurizio , Maines Massimiliano , Filippi Lorena , Ghezzi Monica , Romanelli Federica , Racano Elisabetta , Marin Mauro , Betta Marta , Bertagnolli Elisabetta 
Published: June 2021

Abstract
Aim
In response to the SARS-CoV-2 emergency, the Competence Centre on digital health ‘TrentinoSalute4.0’ has developed TreC_Televisita, a tele visit solution that meets the needs of the Trentino healthcare system and maintains high-quality patient–doctor interactions while respecting social distancing. This paper highlights how ‘TreC_Televisita’ was integrated into the Trentino healthcare system and its potential to become a structural and durable solution for the future local healthcare service provisioning.

Subject and methods
This paper presents the multifactorial context that TreC_Televisita has faced for its implementation and the strategies adopted for its structural integration into the healthcare system. The analysis focuses on the main issues faced for the integration of the tele visits (e.g. privacy, payments) and how the context of TrentinoSalute4.0 permitted responding quickly to its implementation during the pandemic. It also describes how TreC_Televisita fits into the healthcare continuum from the organisational and technological standpoint, the end-user perspective and the barriers that could hamper the solution scalability.

Results
TreC_Televisita has demonstrated to be a technological solution that can be contextualised for different clinical domains beyond SARS-CoV-2. Moreover, it has shown its potential to scale up the solution beyond the COVID-19 emergency to the whole healthcare provisioning system in the long term.

Conclusion
Being a positive experience in the first months of its implementation, the long-term goal is to transform TreC_Televisita into a structural pillar of the Trentino healthcare system, setting the bases for a sustainable, win–win situation for all the stakeholders involved in healthcare service provisioning.
Cable tree wiring - benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints
Authors: Koehler Jana , Bürgler Josef , Fontana Urs , Fux Etienne , Herzog Florian , Pouly Marc , Saller Sophia , Salyaeva Anastasia , Scheiblechner Peter , Waelti Kai 
Published: June 2021

AbstractCable trees are used in industrial products to transmit energy and information between different product parts. To this date, they are mostly assembled by humans and only few automated manufacturing solutions exist using complex robotic machines. For these machines, the wiring plan has to be translated into a wiring sequence of cable plugging operations to be followed by the machine. In this paper, we study and formalize the problem of deriving the optimal wiring sequence for a given layout of a cable tree. We summarize our investigations to model this cable tree wiring problem (CTW). as a traveling salesman problem with atomic, soft atomic, and disjunctive precedence constraints as well as tour-dependent edge costs such that it can be solved by state-of-the-art constraint programming (CP), Optimization Modulo Theories (OMT), and mixed-integer programming (MIP). solvers. It is further shown, how the CTW problem can be viewed as a soft version of the coupled tasks scheduling problem. We discuss various modeling variants for the problem, prove its NP-hardness, and empirically compare CP, OMT, and MIP solvers on a benchmark set of 278 instances. The complete benchmark set with all models and instance data is available on github and was included in the MiniZinc challenge 2020.
Establishing the Middle Sea: The Late Bronze Age of Mediterranean Europe (1700–900 BC)
Authors: Iacono Francesco , Borgna Elisabetta , Cattani Maurizio , Cavazzuti Claudio , Dawson Helen , Galanakis Yannis , Gori Maja , Iaia Cristiano , Ialongo Nicola , Lachenal Thibault , Lorrio Alberto , Micó Rafael , Molloy Barry , Nafplioti Argyro , Peche-Quilichini Kewin , Herrada Cristina Rihuete , Risch Roberto 
Published: June 2021

AbstractThe Late Bronze Age (1700–900 BC) represents an extremely dynamic period for Mediterranean Europe. Here, we provide a comparative survey of the archaeological record of over half a millennium within the entire northern littoral of the Mediterranean, from Greece to Iberia, incorporating archaeological, archaeometric, and bioarchaeological evidence. The picture that emerges, while certainly fragmented and not displaying a unique trajectory, reveals a number of broad trends in aspects as different as social organization, trade, transcultural phenomena, and human mobility. The contribution of such trends to the processes that caused the end of the Bronze Age is also examined. Taken together, they illustrate how networks of interaction, ranging from the short to the long range, became a defining aspect of the “Middle Sea” during this time, influencing the lives of the communities that inhabited its northern shore. They also highlight the importance of research that crosses modern boundaries for gaining a better understanding of broad comparable dynamics.
Learning hierarchical probabilistic logic programs
Authors: Nguembang Fadja Arnaud , Riguzzi Fabrizio , Lamma Evelina 
Published: June 2021

AbstractProbabilistic logic programming (PLP) combines logic programs and probabilities. Due to its expressiveness and simplicity, it has been considered as a powerful tool for learning and reasoning in relational domains characterized by uncertainty. Still, learning the parameter and the structure of general PLP is computationally expensive due to the inference cost. We have recently proposed a restriction of the general PLP language called hierarchical PLP (HPLP) in which clauses and predicates are hierarchically organized. HPLPs can be converted into arithmetic circuits or deep neural networks and inference is much cheaper than for general PLP. In this paper we present algorithms for learning both the parameters and the structure of HPLPs from data. We first present an algorithm, called parameter learning for hierarchical probabilistic logic programs (PHIL) which performs parameter estimation of HPLPs using gradient descent and expectation maximization. We also propose structure learning of hierarchical probabilistic logic programming (SLEAHP), that learns both the structure and the parameters of HPLPs from data. Experiments were performed comparing PHIL and SLEAHP with PLP and Markov Logic Networks state-of-the art systems for parameter and structure learning respectively. PHIL was compared with EMBLEM, ProbLog2 and Tuffy and SLEAHP with SLIPCOVER, PROBFOIL+, MLB-BC, MLN-BT and RDN-B. The experiments on five well known datasets show that our algorithms achieve similar and often better accuracies but in a shorter time.
The concept of Ordnungspolitik: rule-based economic policymaking from the perspective of the Freiburg School
Authors: Schnellenbach Jan 
Published: June 2021

AbstractShould economic policy be guided by rules? In this paper, we take the perspective of the Freiburg School and trace its argument for rule-based Ordnungspolitik back to the roots of the concept. In doing so, will not offer a comprehensive review of the literature, but argue closely along the works of Walter Eucken, whose contributions are central to understanding the founding generation of the Freiburg School. We argue that not having rules is costly and therefore that the main thrust of the Freiburg approach remains valid. Good empirical arguments can be found for pursuing a rule-based Ordnungspolitik in order to avoid the costs of discretionary policymaking. Furthermore, we argue that reliance on stable rules does not incapacitate democratic decision-making. Rules rely on democratic support, and rule-based Ordnungspolitik also leaves substantial material scope for discretionary democratic decision-making.
Preface to the special issue on improving software quality through program analysis
Authors: Güdemann Matthias , Mariani Leonardo 
Published: June 2021

AbstractThis special issue is dedicated to the presentation of novel results in the scope of program analysis, verification, and testing of software to improve its quality. The papers included in the special issue present approaches that successfully combine model-based test case generation, reasoning about functional equivalence, data mining, classification, and the combination of abstraction with model-checking, to address real software applications in realistic settings.
Evaluation of cadmium and arsenic effects on wild and cultivated cardoon genotypes selected for metal phytoremediation and bioenergy purposes
Authors: Leonardi Chiara , Toscano Valeria , Genovese Claudia , Mosselmans Julian Frederick Willem , Ngwenya Bryne Tendelo , Raccuia Salvatore Antonino 
Published: June 2021

AbstractCynara cardunculus L. is a multipurpose crop, characterized by high production of biomass suitable for energy purposes and green chemistry. Taking advantage of its already demonstrated ability to grow in polluted environments that characterize many world marginal lands, the aim of this work was to investigate the response of different cardoon genotypes to exposure to cadmium (Cd) and arsenic (As) pollution, in order to use this crop for rehabilitation of contaminated sites and its biomass for energy production. In this study, seeds of two wild cardoon accessions harvested in rural and industrial Sicilian areas and of a selected line of domestic cardoon were used, and the grown plants were spiked with As and Cd, alone or in combination, at two different concentrations (500 and 2000 μM) and monitored for 45 days. The growth parameters showed that all the plants survived until the end of experiment, with growth stimulation in the presence of low concentrations of As and Cd, relative to metal-free controls. Biomass production was mostly allocated in the roots in As treatment and in the shoots in Cd treatment. Cd EXAFS analysis showed that tolerance to high concentrations of both metals was likely linked to complexation of Cd with oxygen-containing ligands, possibly organic acids, in both root and leaf biomass with differences in behaviour among genotypes. Under As+Cd contamination, the ability of the plants to translocate As to aboveground system increased also showing that, for both metal(loid)s, there were significant differences between genotypes studied. Moreover, the results showed that Cynara cardunculus var. sylvestris collected in an industrial area is the genotype that, among those studied, had the best phytoextraction capability for each metal(loid).
Precise semi-analytical inverse kinematic solution for 7-DOF offset manipulator with arm angle optimization
Authors: Ma Boyu , Xie Zongwu , Jiang Zainan , Liu Hong 
Published: June 2021

AbstractSeven-degree-of-freedom redundant manipulators with link offset have many advantages, including obvious geometric significance and suitability for configuration control. Their configuration is similar to that of the experimental module manipulator (EMM) in the Chinese Space Station Remote Manipulator System. However, finding the analytical solution of an EMM on the basis of arm angle parameterization is difficult. This study proposes a high-precision, semi-analytical inverse method for EMMs. Firstly, the analytical inverse kinematic solution is established based on joint angle parameterization. Secondly, the analytical inverse kinematic solution for a non-offset spherical-roll-spherical (SRS) redundant manipulator is derived based on arm angle parameterization. The approximate solution of the EMM is calculated in accordance with the relationship between the joint angles of the EMM and the SRS manipulator. Thirdly, the error is corrected using a numerical method through the analytical inverse solution based on joint angle parameterization. After selecting the stride and termination condition, the precise inverse solution is computed for the EMM based on arm angle parameterization. Lastly, case solutions confirm that this method has high precision, and the arm angle parameterization method is superior to the joint angle parameterization method in terms of parameter selection.
Psychedelic perceptions: mental health service user attitudes to psilocybin therapy
Authors: Corrigan Kate , Haran Maeve , McCandliss Conor , McManus Roisin , Cleary Shannon , Trant Rebecca , Kelly Yazeed , Ledden Kathryn , Rush Gavin , O’Keane Veronica , Kelly John R. 
Published: June 2021

Abstract
Introduction
Despite the rapid advance of psychedelic science and possible translation of psychedelic therapy into the psychiatric clinic, very little is known about mental health service user attitudes.

Objectives
To explore mental health service user attitudes to psychedelics and psilocybin therapy.

Methods
A questionnaire capturing demographics, diagnoses, previous psychedelic and other drug use, and attitudes to psychedelics and psilocybin therapy was distributed to mental health service users.

Results
Ninety-nine participants completed the survey (52% female, mean age 42 years). The majority (72%) supported further research, with 59% supporting psilocybin as a medical treatment. A total of 27% previously used recreational psilocybin, with a male preponderance (p = 0.01). Younger age groups, those with previous psychedelic experience, and those with non-religious beliefs were more likely to have favourable attitudes towards psilocybin. A total of 55% of the total sample would accept as a treatment if doctor recommended, whereas 20% would not. Fewer people with depression/anxiety had used recreational psychedelics (p = 0.03) but were more likely to support government funded studies (p = 0.02). A minority (5%) of people with conditions (psychosis and bipolar disorder) that could be exacerbated by psilocybin thought it would be useful for them. One fifth of the total sample viewed psychedelics as addictive and unsafe even under medical supervision. Concerns included fear of adverse effects, lack of knowledge, insufficient research, illegality, and relapse if medications were discontinued.

Conclusions
The majority supported further research into psilocybin therapy. Younger people, those with previous recreational psychedelic experience, and those with non-religious beliefs were more likely to have favourable attitudes towards psilocybin therapy.
Current Knowledge on the Biology of Lysophosphatidylserine as an Emerging Bioactive Lipid
Authors: Omi Jumpei , Kano Kuniyuki , Aoki Junken 
Published: June 2021

AbstractLysophosphatidylserine (LysoPS) is an emerging lysophospholipid (LPL) mediator, which acts through G protein-coupled receptors, like lysophosphatidic acid (LPA) and sphingosine 1-phosphate (S1P). LysoPS is detected in various tissues and cells and thought to be produced mainly by the deacylation of phosphatidylserine. LysoPS has been known to stimulate degranulation of mast cells. Recently, four LysoPS-specific G protein-coupled receptors (GPCRs) were identified. These GPCRs belong to the P2Y family which covers receptors for nucleotides and LPLs and are predominantly expressed in immune cells such as lymphocytes and macrophages. Studies on knockout mice of these GPCRs have revealed that LysoPS has immune-modulatory functions. Up-regulation of a LysoPS-producing enzyme, PS-specific phospholipase A1, was frequently observed in situations where the immune system is activated including autoimmune diseases and organ transplantations. Therefore, modulation of LysoPS signaling appears to be a promising method for providing therapies for the treatment of immune diseases. In this review, we summarize the biology of LysoPS-producing enzymes and receptors, recent developments in LysoPS signal modulators, and prospects for future therapeutic applications.
Keep me updated! Social support as a coping strategy to reduce the perceived threat caused by the cognitive availability of COVID-19 relevant information
Authors: Klümper Lisa , Sürth Svenja 
Published: June 2021

AbstractThe enormous amount of information about the COVID-19 pandemic in newspapers, TV channels, or social media reminds people every day of the potential threat the virus posed to their health and well-being in 2020. We examined if the cognitive availability of COVID-19 leads to the perception of heightened threat facilitating coping strategies and the moderating role of global self-efficacy and intolerance of uncertainty. A total of 235 participants randomly received either a newspaper article about the COVID-19 virus or Germany’s soil condition and were asked to indicate their current level of the perceived threat of the virus and the use of different coping strategies. Results indicate that the cognitive availability of COVID-19 information leads to a higher perceived threat, leading to more seeking for social support. Although neither self-efficacy nor intolerance of uncertainty moderates the effect of cognitive availability on the perceived threat, both personality characteristics moderated the relationship between perceived threat and different coping strategies. We discuss our results in line with current research on the impact of the COVID-19 pandemic on coping strategies and well-being.