bluuebunny/crossref_metadata_2025_split huggingface dataset:
On dispersion curve coloring for mechanical metafilters
Authors: Bacigalupo Andrea , De Bellis Maria Laura , Gnecco Giorgio , Nutarelli Federico 
Published: November 2022

AbstractThis paper formalizes smooth curve coloring (i.e., curve identification) in the presence of curve intersections as an optimization problem, and investigates theoretically properties of its optimal solution. Moreover, it presents a novel automatic technique for solving such a problem. Formally, the proposed algorithm aims at minimizing the summation of the total variations over a given interval of the first derivatives of all the labeled curves, written as functions of a scalar parameter. The algorithm is based on a first-order finite difference approximation of the curves and a sequence of prediction/correction steps. At each step, the predicted points are attributed to the subsequently observed points of the curves by solving an Euclidean bipartite matching subproblem. A comparison with a more computationally expensive dynamic programming technique is presented. The proposed algorithm is applied with success to elastic periodic metamaterials for the realization of high-performance mechanical metafilters. Its output is shown to be in excellent agreement with desirable smoothness and periodicity properties of the metafilter dispersion curves. Possible developments, including those based on machine-learning techniques, are pointed out.
Meteorological change and hemorrhagic fever with renal syndrome epidemic in China, 2004–2018
Authors: Luo Yizhe , Lv Heng , Yan Huacheng , Zhu Changqiang , Ai Lele , Li Wenhao , Yi Jing , Zhang Lingling , Tan Weilong 
Published: November 2022

AbstractHemorrhagic fever with renal syndrome (HFRS), caused by hantavirus, is a serious public health problem in China. Despite intensive countermeasures including Patriotic Health Campaign, rodent control and vaccination in affected areas, HFRS is still a potential public health threat in China, with more than 10,000 new cases per year. Previous epidemiological evidence suggested that meteorological factors could influence HFRS incidence, but the studies were mainly limited to a specific city or region in China. This study aims to evaluate the association between monthly HFRS cases and meteorological change at the country level using a multivariate distributed lag nonlinear model (DLNM) from 2004 to 2018. The results from both univariate and multivariate models showed a non-linear cumulative relative risk relationship between meteorological factors (with a lag of 0–6 months) such as mean temperature (Tmean), precipitation, relative humidity (RH), sunshine hour (SH), wind speed (WS) and HFRS incidence. The risk for HFRS cases increased steeply as the Tmean between − 23 and 14.79 °C, SH between 179.4 and 278.4 h and RH remaining above 69% with 50–95 mm precipitation and 1.70–2.00 m/s WS. In conclusion, meteorological factors such as Tmean and RH showed delayed-effects on the increased risk of HFRS in the study and the lag varies across climate factors. Temperature with a lag of 6 months (RR = 3.05) and precipitation with a lag of 0 months (RR = 2.08) had the greatest impact on the incidence of HFRS.
The modulation of sustainability knowledge and impulsivity traits on the consumption of foods of animal and plant origin in Italy and Turkey
Authors: Migliavada Riccardo , Coricelli Carol , Bolat Esra Emine , Uçuk Ceyhun , Torri Luisa 
Published: November 2022

AbstractGiven the environmental challenge we face globally, a transition to sustainable diets seems essential. However, the cognitive aspects underlying sustainable food consumption have received little attention to date. The aims of this cross-cultural study were: (1) to explore how impulsivity traits and individuals’ knowledge of food environmental impact influence their frequency of consumption of animal- and plant-based foods; (2) to understand the modulation of individual characteristics (i.e. generation, sex, BMI, and sustainability knowledge). An online survey investigating impulsivity traits, sustainability knowledge and ratings of diverse food items was designed and administered to respondents from Italy (N = 992) and Turkey (N = 896). Results showed that Turkish respondents were higher in impulsivity and animal products consumption. Italians, instead, had greater sustainability knowledge and consumed more plant-based foods. Females in both groups reported greater knowledge of sustainability, consistent with previous findings. In terms of generations, the lowest consumption of animal products was reported by Turkish Generation Z and Italian Millennials. In conclusion, this study shed light on the interaction of psychological factors and individual characteristics with the perceived environmental impact of foods. Moreover, the adopted cross-cultural approach allowed to identify several differences in participants’ responses ascribable to their different nationalities and gastronomic cultures.
Machine learning models for prediction of HF and CKD development in early-stage type 2 diabetes patients
Authors: Kanda Eiichiro , Suzuki Atsushi , Makino Masaki , Tsubota Hiroo , Kanemata Satomi , Shirakawa Koichi , Yajima Toshitaka 
Published: November 2022

AbstractChronic kidney disease (CKD) and heart failure (HF) are the first and most frequent comorbidities associated with mortality risks in early-stage type 2 diabetes mellitus (T2DM). However, efficient screening and risk assessment strategies for identifying T2DM patients at high risk of developing CKD and/or HF (CKD/HF) remains to be established. This study aimed to generate a novel machine learning (ML) model to predict the risk of developing CKD/HF in early-stage T2DM patients. The models were derived from a retrospective cohort of 217,054 T2DM patients without a history of cardiovascular and renal diseases extracted from a Japanese claims database. Among algorithms used for the ML, extreme gradient boosting exhibited the best performance for CKD/HF diagnosis and hospitalization after internal validation and was further validated using another dataset including 16,822 patients. In the external validation, 5-years prediction area under the receiver operating characteristic curves for CKD/HF diagnosis and hospitalization were 0.718 and 0.837, respectively. In Kaplan–Meier curves analysis, patients predicted to be at high risk showed significant increase in CKD/HF diagnosis and hospitalization compared with those at low risk. Thus, the developed model predicted the risk of developing CKD/HF in T2DM patients with reasonable probability in the external validation cohort. Clinical approach identifying T2DM at high risk of developing CKD/HF using ML models may contribute to improved prognosis by promoting early diagnosis and intervention.
Increasing the stability margins using multi-pattern metasails and multi-modal laser beams
Authors: Taghavi Mohammadrasoul , Mosallaei Hossein 
Published: November 2022

AbstractLaser-driven metasails can enable reaching velocities far beyond the chemically propelled spacecrafts, which accounts for precise engineering of the acceleration and the stability degree of the lightsail across the Doppler-broadened band. All-dielectric metasurfaces have shown great promise toward the realization of low-weight photonic platforms suitable for integrating multiple functionalities. The most paramount factor in the stability analysis of lightsail is the coupling between displacement and rotation, which mainly determines the durability of the nanocraft against displacement and rotation offsets. In this work, the marginal stability conditions of laser-propelled lightsails have been extended by replacing the reflective elements near the edges portions of the sail with broad-band transmissive elements and applying a multi-objective genetic algorithm (GA) optimization to the proposed configuration. The presented design not only remarkably suppresses the amplitude of the oscillatory motion but also can decrease the center of the mass requirement of the lightsail while maintaining an acceptable acceleration time. Next, a configuration where the payload is at the non-illuminating side of the dual-portion sail is proposed to protect the payload from the intense laser beam. In this case, a spherical phase profile is imprinted across the reflective elements while it is being propelled by a multi-modal beam.
TheGaia-ESO Survey: Old super-metal-rich visitors from the inner Galaxy
Authors: Dantas M. L. L. , Smiljanic R. , Boesso R. , Rocha-Pinto H. J. , Magrini L. , Guiglion G. , Tautvaišienė G. , Gilmore G. , Randich S. , Bensby T. , Bragaglia A. , Bergemann M. , Carraro G. , Jofré P. , Zaggia S. 
Published: November 2022

Context.The solar vicinity is currently populated by a mix of stars with various chemo-dynamic properties, including stars with a high metallicity compared to the Sun. Dynamical processes such as churning and blurring are expected to relocate such metal-rich stars from the inner Galaxy to the solar region.Aims.We report the identification of a set of old super-metal-rich (+0.15 ≤ [Fe/H] ≤ +0.50) dwarf stars with low eccentricity orbits (e ≲ 0.2) that reach a maximum height from the Galactic plane in the range ∼0.5–1.5 kpc. We discuss their chemo-dynamic properties with the goal of understanding their potential origins.Methods.We used data from the internal Data Release 6 of theGaia-ESO Survey. We selected stars observed at high resolution with abundances of 21 species of 18 individual elements (i.e. 21 dimensions). We applied a hierarchical clustering algorithm to group the stars with similar chemical abundances within the complete chemical abundance space. Orbits were integrated using astrometric data fromGaiaand radial velocities fromGaia-ESO. Stellar ages were estimated using isochrones and a Bayesian method.Results.This set of super-metal-rich stars can be arranged into five subgroups, according to their chemical properties. Four of these groups seem to follow a chemical enrichment flow, where nearly all abundances increase in lockstep with Fe. The fifth subgroup shows different chemical characteristics. All the subgroups have the following features: median ages of the order of 7–9 Gyr (with five outlier stars of estimated younger age), solar or subsolar [Mg/Fe] ratios, maximum height from the Galactic plane in the range 0.5–1.5 kpc, low eccentricities (e ≲ 0.2), and a detachment from the expected metallicity gradient with guiding radius (which varies between ∼6 and 9 kpc for the majority of the stars).Conclusions.The high metallicity of our stars is incompatible with a formation in the solar neighbourhood. Their dynamic properties agree with theoretical expectations that these stars travelled from the inner Galaxy due to blurring and, more importantly, to churning. We therefore suggest that most of the stars in this population originated in the inner regions of the Milky Way (inner disc and/or the bulge) and later migrated to the solar neighbourhood. The region where the stars originated had a complex chemical enrichment history, with contributions from supernovae types Ia and II, and possibly asymptotic giant branch stars as well.
Comparative analysis of atmospheric parameters from high-resolution spectroscopic sky surveys: APOGEE, GALAH, Gaia-ESO
Authors: Hegedűs Viola , Mészáros Szabolcs , Jofré Paula , Stringfellow Guy S. , Feuillet Diane , García-Hernández Domingo Aníbal , Nitschelm Christian , Zamora Olga 
Published: November 2022

Context. SDSS-IV APOGEE-2, GALAH, and Gaia-ESO are high-resolution, ground-based, multi-object spectroscopic surveys providing fundamental stellar atmospheric parameters and multiple elemental abundance ratios for hundreds of thousands of stars of the Milky Way. Data from these and other surveys contribute to investigations of the history and evolution of the Galaxy.
Aims. We undertake a comparison between the most recent data releases of these surveys to investigate the accuracy and precision of derived parameters by placing the abundances on an absolute scale. We also discuss the correlations in parameter and abundance differences as a function of main parameters. Uncovering the variants provides a basis to continue the efforts of future sky surveys.
Methods. Quality samples from the APOGEE−GALAH (15 537 stars), APOGEE−GES (804 stars), and GALAH−GES (441 stars) overlapping catalogs were collected. We investigated the mean variants between the surveys, and linear trends were also investigated. We compared the slope of correlations and mean differences with the reported uncertainties.
Results. The average and scatter of vrad, Teff, log g, [M/H], and vmicro, along with numerous species of elemental abundances in the combined catalogs, show that in general there is a good agreement between the surveys. We find large radial velocity scatters ranging from 1.3 km s−1 to 4.4 km s−1 when comparing the three surveys. We observe some weak trends (e.g., in ΔTeff vs. Δlog g for the APOGEE−GES stars) and a clear correlation in the vmicro − Δvmicro planes in the APOGEE−GALAH common sample. For [α/H], [Ti/H] (APOGEE−GALAH giants), and [Al/H] (APOGEE−GALAH dwarfs) potential strong correlations are discovered as a function of the differences in the main atmospheric parameters, and we also find weak trends for other elements.
Conclusions. In general we find good agreement between the three surveys within their respective uncertainties. However, there are certain regimes in which strong variants exist, which we discuss. There are still offsets larger than 0.1 dex in the absolute abundance scales.
The mass-radius relation of intermediate-mass planets outlined by hydrodynamic escape and thermal evolution
Authors: Kubyshkina D. , Fossati L. 
Published: November 2022

Context. Exoplanets in the mass range between Earth and Saturn show a wide spread in radius, and thus in density, for a given mass.
Aims. We aim to understand to which extent the observed radius spread is affected by the specific planetary parameters at formation and by planetary atmospheric evolution.
Methods. We employed planetary evolution modeling to reproduce the mass-radius (MR) distribution of the 199 planets that are detected so far whose mass and radius were measured to the ≤45% and ≤15% level, respectively, and that are less massive than 108 M⊕. We simultaneously accounted for atmospheric escape, based on the results of hydrodynamic simulations, and thermal evolution, based on planetary structure evolution models. Because high-energy stellar radiation affects atmospheric evolution, we accounted for the entire range of possible stellar rotation evolution histories. To set the planetary parameters at formation, we used analytical approximations based on formation models. Finally, we built a grid of synthetic planets with parameters reflecting those of the observed distribution.
Results. The predicted radius spread reproduces the observed MR distribution well, except for two distinct groups of outliers (≈20% of the population). The first group consists of very close-in Saturn-mass planets with Jupiter-like radii for which our modeling under-predicts the radius, likely because it lacks additional (internal) heating similar to the heating that causes inflation in hot Jupiters. The second group consists of warm (~400–700 K) sub-Neptunes, which should host massive primordial hydrogen-dominated atmospheres, but instead present high densities indicative of small gaseous envelopes (<1–2%). This suggests that their formation, internal structure, and evolution is different from that of atmospheric evolution through escape of hydrogen-dominated envelopes accreted onto rocky cores. The observed characteristics of low-mass planets (≤10–15 M⊕) strongly depend on the impact of atmospheric escape, and thus of the evolution of the host star's activity level, while primordial parameters are less relevant. Instead, the parameters at formation play the dominant role for more massive planets in shaping the final MR distribution. In general, the intrinsic spread in the evolution of the activity of the host stars can explain just about a quarter of the observed radius spread.
Schulterbeschwerden in der Traditionellen Chinesischen Medizin
Authors: Hummelsberger Josef 
Published: November 2022

SummaryIn der Traditionellen Chinesischen Medizin ist die Periarthritis humeroscapularis bekannt als entzündliche Schultergelenkserkrankung, die hauptsächlich bei Frauen um das 50. Lebensjahr herum auftritt. Als Therapieoptionen stehen in der TCM Akupunktur, manuelle Methoden sowie Arzneimitteltherapie zur Verfügung. Bei der Behandlung der chronischen Beschwerden ist jedoch Geduld gefragt.
Frozen Shoulder – Schultersteife: ganzheitlicher Ansatz der Therapie
Authors: Schmid Oskar A. 
Published: November 2022

SummaryDie Schultersteife, auch als FrozenShoulder bezeichnet, geht mit Schmerzen und Funktionsverlust im Schultergelenk einher. Sie tritt als primäre Form, aber auch sekundär zum Beispiel als Folge einer Erkrankung oder Verletzung auf. Leitlinien empfehlen zur Therapie von Schultersteife unter anderem Physiotherapie, Elektrotherapie, Lasertherapie, Kortisoninjektionen sowie Akupunktur. Ein ganzheitlicher Ansatz kombiniert die verschiedenen Therapieformen im Sinne der Leitlinie.
Rehabilitation nach einer Schulteroperation
Authors: Seeger Jörn , Seeger Monika , Arnholdt Jörg , von Engelhardt Lars 
Published: November 2022

SummaryDie Rehabilitation der Schulter ist eine sehr komplexe und individuelle Angelegenheit. Der Nahbehandlungsplan wird für jeden Patienten und jede Patientin spezifisch ausgearbeitet. Ziel ist es, die Einsatzfähigkeit der Schulter so wiederherzustellen, dass die Lebensqualität der Betroffenen nicht beeinträchtigt wird. Um dies zu erreichen, kommen Therapiemethoden wie die Manuelle Therapie, Physiotherapie, Lymphdrainage, Schulterstuhl, Bewegungsbad sowie die Kryotherapie zum Einsatz.
Selbstdehnung bei chronischen Schulterbeschwerden
Authors: Irnich Dominik 
Published: November 2022

SummaryBei Patienten mit chronischen Schulterproblemen besteht oft eine deutliche Reduzierung der Lebensqualität. Um hier erfolgreich behandeln zu können, ist nicht nur ein multimodaler Ansatz nötig, auch die Motivation des Betroffenen spielt eine wichtige Rolle. Selbstdehnung ermöglicht dabei den Patienten, eigenhändig an einer Verbesserung mitzuwirken.
Granulomatose mit Polyangiitis und mikroskopische
Polyangiitis
Authors: Klapa Sebastian , Arnold Sabrina , Lamprecht Peter 
Published: November 2022

ZusammenfassungDie Granulomatose mit Polyangiitis (GPA) und mikroskopische Polyangiitis (MPA)
sind zwei zur ANCA-assoziierten Vaskulitis (AAV) zählende
Entitäten. Beiden Erkrankungen liegt eine systemische nekrotisierende
Kleingefäßvaskulitis zugrunde, die jedes Organ betreffen kann.
Bei der GPA ist zusätzlich eine in der Regel den Respirationstrakt
betreffende extravaskuläre nekrotisierende granulomatöse
Entzündung vorzufinden. Das klinische Bild wird in der Mehrzahl der
Fälle durch ein pulmo-renales Syndrom mit alveolärer
Hämorrhagie und rapid-progressiver Glomerulonephritis sowie weitere
Organmanifestationen bestimmt. Bei der GPA imponiert zudem die fast regelhafte
Mitbeteiligung des oberen Respirationstrakts. Die GPA ist mit Anti-Neutrophilen
zytoplasmatischen Autoantikörpern (ANCA) mit einer Spezifität
für die Proteinase 3 (PR3-ANCA) und die MPA für Myeloperoxidase
(MPO-ANCA) assoziiert. Die immunsuppressive Therapie richtet sich nach der
Krankheitsaktivität und Schwere der Organbeteiligung.
Cobalt-Catalyzed Alkynylation of Organic Compounds: Hydroalkynylation, Dehydrogenative Alkynylation, and Reductive Alkynylation
Authors: Tsurugi Hayato , Mashima Kazushi , Ueda Yohei 
Published: November 2022

AbstractCobalt-catalyzed hydroalkynylation of alkynes, alkenes, and imines affords internal alkynes with various functional groups adjacent to the carbon–carbon triple bond moiety in an atom-economical manner. In addition, cross-coupling of in situ generated alkynylcobalt species from terminal alkynes, haloalkynes, and metal acetylides with (hetero)aromatic compounds and organic halides selectively provides various internal aryl- and alkylalkynes.1	Introduction2	Hydroalkynylation of Alkynes for 1,3-Enyne Synthesis3	Hydroalkynylation of Polar and Nonpolar Double Bonds4	Dehydrogenative Cross-Coupling Reaction Using Terminal Alkynes with Aromatic Compounds5	Cross-Coupling Reactions Using Haloalkynes as the Coupling Partners6	Cross-Coupling Reactions Using Metal Acetylides7	Conclusion
Concise Synthesis of Functionalized Cyclopentadienyl Rhodium(III) Complexes via Suzuki–Miyaura Cross Coupling
Authors: Yasui Takeshi , Yamamoto Yoshihiko , Tanabe Shouta , Masueda Takuya 
Published: November 2022

AbstractHerein, we report a concise method for the preparation of functionalized cyclopentadienyl rhodium complexes via Suzuki–Miyaura cross-coupling. We successfully converted 2,3,4,5-tetramethylcyclopent-2-en-1-one into the corresponding cyclopentadienylboronic acid pinacol ester, which could be used as a coupling partner with aryl halides. Several functionalized cyclopentadienyl rhodium complexes were synthesized in two steps from readily available aryl bromides. We also demonstrated the rapid synthesis of a novel chiral cyclopentadienyl rhodium complex that could be used as a precatalyst for an asymmetric C–H functionalization reaction.
Peak Height Velocity Affects Injury Burden in Circa-PHV Soccer Players
Authors: Monasterio Xabier , Gil Susana , Bidaurrazaga-Letona Iraia , Lekue Jose A , Diaz-Beitia Gontzal , Santisteban Juan M , Lee Dae-Jin , Zumeta-Olaskoaga Lore , Martin-Garetxana Imanol , Larruskain Jon 
Published: November 2022

AbstractGrowth and maturation are potential risk factors for soccer injuries. This research sought to describe how peak height velocity (PHV) affects overall and specific injury burden in circa- and post-PHV elite academy soccer players. Injuries and growth data collected from 2000 to 2020 were studied retrospectively. Longitudinal height records for 124 players were fitted with the Super-Imposition by Translation and Rotation model to calculate PHV (cm/year) and age at PHV. Players were classified according to PHV percentile (fast:≥75th; average: 25–75th; slow:≤25th) and maturity status (circa- or post-PHV). Overall and specific injury burden (days lost/player-season) and rate ratios for comparisons between groups were calculated based on zero-inflated negative binomial models. Confidence intervals were calculated at the 95% confidence level (CI) and the significance level was set at<0.05. In circa-PHV, players with fast PHV had 2.6 (CI: 1.4–4.8)- and 3.3 (CI:1.3–6.7)-times higher overall burden and 2.9 (CI:1.1–7.1)- and 4.1 (CI: 1.4–15.2)-times higher for growth-related injury burden compared to players with average and slow PHV, respectively. Regular monitoring of growth seems important to detect players at higher risk for being disrupted by growth-related injuries.