Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogenomics and historical biogeography of Hydrangeeae (Hydrangeaceae) elucidate the effects of geologic and climatic dynamics on diversification

Demonstrating the process of transregional biogeography and mechanisms underlying evolutionary radiations is crucial to understanding biological evolution. Here, we use Hydrangeeae (Hydrangeaceae), a tribe with a unique disjunct distribution and complex trait variations, using a solid phylogenetic framework, to investigate how geographical and climatic factors interact with functional traits to trigger plant evolutionary radiations. We constructed the first highly supported and dated phylogenetic framework using 79 protein-coding genes obtained from 81 plastomes, representing 63 species and all major clades, and found that most extant species originated from asynchronous diversification of two lineages undergoing repeated expansion and retraction, at middle and high latitudes of the Northern Hemisphere between East Asia and North America, during the Eocene to Pleistocene (driven by geologic and climatic dynamics). In accordance with these drivers, interactions of flora between central-eastern China and Japan occurred frequently after the Late Tertiary. We found that resource limitation and range fragmentation probably accelerated the diversification of Hydrangeeae, which supports the resource-use hypothesis. Our study sheds light on the evolutionary radiation and assembly of flora within East Asia, and the East Asian–North American disjunction, through integration of phylogenomic and biogeographic data with functional trait and ecological data.
Derivative of the Donsker delta functionals

We prove that derivatives of any ﬁnite order of Donsker’s delta functionals are well-deﬁned elements in the space of Hida distributions. We also show the convergence to the derivative of Donsker’s delta functionals of two diﬀerent approximations. Finally, we present an existence result of ﬁnite product and inﬁnite series of the derivative of the Donsker delta functionals.
Seagrass production around artificial reefs is resistant to human stressors

Primary production underpins most ecosystem services, including carbon sequestration and fisheries. Artificial reefs (ARs) are widely used for fisheries management. Research has shown that a mechanism by which ARs in seagrass beds can support fisheries and carbon sequestration is through increasing primary production via fertilization from aggregating fish excretion. Seagrass beds are heavily affected by anthropogenic nutrient input and fishing that reduces nutrient input by consumers. The effect of these stressors is difficult to predict because impacts of simultaneous stressors are typically non-additive. We used a long-term experiment to identify the mechanisms by which simultaneous impacts of sewage enrichment and fishing alter seagrass production around ARs across non-orthogonal gradients in human-dominated and relatively unimpacted regions in Haiti and The Bahamas. Merging trait-based measures of seagrass and seagrass ecosystem processes, we found that ARs consistently enhanced per capita seagrass production and maintained ecosystem-scale production despite drastic shifts in controls on production from human stressors. Importantly, we also show that coupled human stressors on seagrass production around ARs were additive, contrasting expectations. These findings are encouraging for conservation because they indicate that seagrass ecosystems are highly resistant to coupled human stressors and that ARs promote ecosystem services even in human-dominated ecosystems.
Nematicidal activity of o-hydroxybenzaldehyde from common buckwheat methanol extract on Meloidogyne incognita

Abstract The nematicidal activity of buckwheat (Fagopyrum esculentum Moench) on the root-knot nematode Meloidogyne incognita was tested. Dried plant methanol extract presented higher nematicidal activity than fresh plant extracts with an EC50 = 62.6 ± 26.0 and 40.8 ± 26.1 μg/ml after 48 and 72 hours of immersion, respectively. GC-MS analysis showed the presence of 17 aldehydes, with salicylaldehyde (o-hydroxybenzaldehyde) being the most abundant at 16%. Nematicidal activity of the latter refers to salicylaldehyde and other aldehydes with chemical similarities was then assessed. The most active aldehyde was o-hydroxybenzaldehyde followed by m-hydroxybenzaldehyde, p-hydroxybenzaldehyde and benzeneacetaldehyde with an EC50 of about 11.0 ± 1.0, 31.0 ± 22.0, 75.0 ± 23.0 and 168.1 ± 52.3 μg/ml after 1 day of immersion, respectively. Position 2 of the hydroxyl group in the benzene ring seems to be very important for the nematicidal activity, followed by positions 3 and 4. As a complementary experiment, synergistic activity was observed when we added o-hydroxybenzaldehyde to m-hydroxybenzaldehyde and to p-hydroxybenzaldehyde with an EC50 after 24 hours of immersion of 8.0 ± 2.5 and 6.1 ± 2.3 μg/ml, respectively. Antioxidant activity assessment showed that this latter is inversely proportional to nematicidal activity. Our results showed that F. esculentum and its major compound salicylaldehyde could be integrated into the pest management system.
General introduction: A comparative perspective on probabilistic variation in grammar

This special collection brings together research exploring and evaluating probabilistic variation patterns from a comparative perspective, thus highlighting current work situated at the crossroads of research on usage-based theoretical linguistics, variationist linguistics, and sociolinguistics. The contributions in the collection advance our understanding of the plasticity of syntactic knowledge on the part of language users with diverse regional and/or cultural backgrounds, and demonstrate how a probabilistic approach to grammatical variation can offer insight into the scope and limits of language variation. In this general introduction to the special collection, we provide some essential background for perspective, and subsequently summarize the contributions in the collection.
A Next-Generation Coastal Ocean Operational System: Probabilistic Flood Forecasting at Street Scale

Recent hurricanes have demonstrated the need for real-time flood forecasting at street scale in coastal urban areas. Here, we describe the high-impact high-resolution (HIHR) system that operationally forecasts flooding at very high resolution in the New York–New Jersey metropolitan region. HIHR is the latest upgrade of the Stevens Flood Advisory System (SFAS), a highly detailed operational coastal ocean modeling system. SFAS, based on the Hydrologic–Hydraulic–Hydrodynamic Ensemble (H3E) modeling framework, consists of four sets of nested coastal and inland flood models that provide ensemble flood forecasts with a horizon of at least 96 h from regional to street scales based on forcing from 100 different meteorological output fields. HIHR includes nine model domains with horizontal resolution ranging from 3 to 10 m around critical infrastructure sites in the region. HIHR models are based on an advanced hydrodynamic code [the Stevens Estuarine and Coastal Ocean Model (sECOM), a derivative of the Princeton Ocean Model] and nested into the H3E models. HIHR was retrospectively evaluated by forecasting the coastal flooding caused by Superstorm Sandy in 2012 using water-level sensors, high-water marks, and flood maps. The forecasts for the 95th percentile show a good agreement with these observations even three days before the peak flood, while the 50th percentile is negatively biased because of the lack of resolution on the meteorological forcing. Forecasts became more accurate and less uncertain as the forecasts were issued closer to the peak flooding.
T cells and orbital connective tissue in endocrine orbitopathy

Summary: In order to analyse the immunological changes in patients with endocrine orbitopathy (EO) the antigenic character of orbital connective tissue was studied. Counterstimulation assays of patients' lymphocytes with autologous retrobulbar fibroblasts resulted in a markedly increased lymphocyte proliferation in comparison to incu bation with retrobulbar control fibroblasts. Proliferation tests of retrobulbar T cell lines showed significant responses to autologous retro-orbital connective tissue proteins, with molecular weights of 6lo kD and 19-26 kD. Phenotypic analysis of orbital T cell lines indicates that they consisted predominantly of CD4 cells. Hyaluronic acid production of orbital fibro blasts following co-cultivation with lymphocytes of EO patients or controls revealed a threefold increased synthesis in patients with EO. Furthermore, distribution pattern of orbital extracellular matrix glycosaminoglycans (GAG) differs in EO patients in comparison to controls. The results suggest the presence of autoreactive T cells directed
Impact of 4-Methylbenzylidene-camphor (4-MBC) during Embryonic and Fetal Development in the Neuroendocrine Regulation of Testicular Axis in Prepubertal and Peripubertal Male Rats

▼ 4-Methylbenzylidene-camphor (4-MBC), an UV-B ray ﬁ lter, belongs to the endocrine disrupters involved with alterations in the reproductive axis. Our target was to study the e ﬀ ect of 4-MBC on the neuroendocrine parameters that regulate reproduction in prepubertal and peripubertal male rats, which received this disrupter during embryonic and fetal development. 4-MBC was administered (sc) to female rats since pregnancy onset in doses of 20, 100 and 500 mg / kg / day. The litters were sacri ﬁ ced at 15 or 30 days old to determine testicular weight, gonadotropin and prolactin serum levels and also GnRH and amino acids release from the hypothalamus. The exposure to 20 mg / kg / day only increased the LH serum levels in 30-day-old males. Doses of 100 and 500 mg / kg / day caused a decrease in testicular weight and in LH, GnRH and glutamate levels, in prepubertal rats (15-day-old specimens), and an increase in, gonadotropin (LH and FSH) concentration and aspartate levels in peripubertal rats (30-day-old specimens), without changes in testicular weight. Prolactinaemia remained unaltered in all groups. Results obtained show that the administration of high doses of 4-MBC during embryonic and fetal stage inhibits the testicular axis in male rats during the prepubertal stage and stimulates it during peripubertad stage. On the other hand in the case of low doses no signi ﬁ cant e ﬀ ects were observed.
A new simplified Hypothesis B method for calculating the consolidation settlement of ground improved by vertical drains

Vertical drains are widely used in soft ground improvements to accelerate the consolidation process. This paper develops a new simplified Hypothesis B method for calculating the consolidation settlement of a soil layer improved by vertical drains under the instant and ramp loadings. As a comparison, the traditional Hypothesis A method is also used to calculate the settlement. Then, a fully coupled finite element consolidation analysis is utilized to examine and verify this simplified method and Hypothesis A method. For the instant loading, Carrillo‐Barron method and Zhu‐Yin method are used to obtain the average degree of consolidation for vertical drain system. Typical parameters, such as over‐consolidation ratio (OCR), smear zone, and space ratio of vertical drains, are considered. It is found that the calculation results from the new simplified method in this study agree well with finite element simulations, and relative errors are in the range of 0.1% to 12.3%. Comparatively, there are obvious differences between the calculated results from Hypothesis A method and finite element results. Carrillo‐Olson method and Zhu‐Yin method are utilized to obtain the average degree of consolidation for the vertical drain system to consider the ramp loading. Equivalent time is determined from half of the construction period to calculate the creep compression under the ramp loading. The accuracy of this simplified Hypothesis B method using both Carrillo‐Olson method and Zhu‐Yin method is acceptable with the relative errors less than 9.4%.
What are the treatment remission, response and extent of improvement rates after up to four trials of antidepressant therapies in real-world depressed patients? A reanalysis of the STAR*D study’s patient-level data with fidelity to the original research protocol

Objective Reanalyse the patient-level data set of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study with fidelity to the original research protocol and related publications. Design The study was open label and semirandomised examining the effectiveness of up to four optimised and increasingly aggressive, antidepressant therapies in depressed adults. Patients who failed to gain adequate relief from their level 1 trial on the SSRI citalopram could receive up to three additional treatment trials in levels 2–4. Setting 41 North American psychiatry and primary care treatment centres. Participants 4041 adults screened positive for major depressive disorder. In contrast to most clinical trials, STAR*D enrolled patients seeking care (vs recruited) and included patients with a wide range of common comorbid medical and psychiatric conditions to enhance the generalisability of findings to real-world clinical practice. Interventions STAR*D evaluated the relative effectiveness of 13 antidepressants therapies in treatment levels 2–4 for depressed patients who failed to gain adequate benefit from their level 1 medication trial. Main outcome measures According to the STAR*D protocol, the primary outcome was remission, defined as a score <8 on the blinded Hamilton Rating Scale for Depression (HRSD). Response was a secondary outcome defined as ≥50% reduction in HRSD scores. STAR*D’s protocol specifically excluded all non-blinded clinic-administered assessments from use as research outcome measures. Results STAR*D investigators did not use the protocol-stipulated HRSD to report cumulative remission and response rates in their summary article and instead used a non-blinded clinic-administered assessment. This inflated their report of outcomes, as did their inclusion of 99 patients who scored as remitted on the HRSD at study outset as well as 125 who scored as remitted when initiating their next-level treatment. These patients should have been excluded from data analysis. In contrast to the STAR*D-reported 67% cumulative remission rate after up to four antidepressant treatment trials, the rate was 35.0% when using the protocol-stipulated HRSD and inclusion in data analysis criteria. Conclusion STAR*D’s cumulative remission rate was approximately half of that reported.
Digital health and inpatient palliative care: a cohort-controlled study

Objectives End of life has unacceptable levels of hospital admission and death. We aimed to determine the association of a novel digital specific system (Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life, PRADA) to modify such events. Methods A cohort-controlled study of those discharged alive, who died within 90 days of discharge, comparing PRADA (n=114) with standard care (n=3730). Results At 90 days, the PRADA group were more likely to die (78.9% vs 46.2%, p<0.001), had a shorter time to death (58±90 vs 178±186 days, p<0.001) but readmission (20.2% vs 37.9%, p<0.001) or death in hospital (4.4% vs 28.9%, p<0.001) was lower with reduced risk for a combined 90-day outcome of postdischarge non-elective admission or hospital death (OR 0.45, 95% CI 0.27–0.74, p<0.001). Tightening criteria with 1:1 matching (n=83 vs 83) showed persistent significant findings in PRADA contact with markedly reduced adverse events (OR 0.15, 95% CI 0.02–0.96, p<0.05). Conclusions Being seen in hospital by a specialist palliative care team using the PRADA tool was associated with significantly improved postdischarge outcomes pertaining to those destined to die after discharge.
Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes

During the afternoon of 28 April 2015, a multicellular convective system swept southward through much of Jiangsu Province, China, over about 7 h, producing egg-sized hailstones on the ground. The hailstorm event is simulated using the Advanced Regional Prediction System (ARPS) at 1-km grid spacing. Different configurations of the Milbrandt–Yau microphysics scheme are used, predicting one, two, and three moments of the hydrometeor particle size distributions (PSDs). Simulated reflectivity and maximum estimated size of hail (MESH) derived from the simulations are verified against reflectivity observed by operational S-band Doppler radars and radar-derived MESH, respectively. Comparisons suggest that the general evolution of the hailstorm is better predicted by the three-moment scheme, and neighborhood-based MESH evaluation further confirms the advantage of the three-moment scheme in hail size prediction. Surface accumulated hail mass, number, and hail distribution characteristics within simulated storms are examined across sensitivity experiments. Results suggest that multimoment schemes produce more realistic hail distribution characteristics, with the three-moment scheme performing the best. Size sorting is found to play a significant role in determining hail distribution within the storms. Detailed microphysical budget analyses are conducted for each experiment, and results indicate that the differences in hail growth processes among the experiments can be mainly ascribed to the different treatments of the shape parameter within different microphysics schemes. Both the differences in size sorting and hail growth processes contribute to the simulated hail distribution differences within storms and at the surface.
Nonexistence of nontrivial generalized solutions for 2-D and 3-D BVPs with nonlinear mixed type equations

A brief survey of known results, open problems and new contributions to the understanding of the nonexistence of nontrivial solutions to nonlinear boundary value problems (BVPs) whose linear part is of mixed elliptic-hyperbolic type is given. Crucial issues discussed include: the role of so-called critical growth of the nonlinear terms in the equation (often related to threshold values of continuous and compact embedding for Sobolev spaces in Lebesgue spaces), the role that hyperbolicity in the principal part plays in over-determining solutions with classical regularity if data is prescribed everywhere on the boundary, the relative lack of regularity that solutions to such problems possess and the subsequent importance to address nonexistence of generalized solutions.
Coordinating the supplier-retailer supply chain under noise effect with bundling and inventory strategies

In current competitive market, the products and their demand's uncertainty are high. In order to reduce these uncertainties the coordination of supply chain is necessary. Supply chain can be managed under two viewpoints typically: 1) centralized supply chain and 2) decentralized supply chain, and the coordination can be done in both types of chains. In the centralized supply chain there exists a global decision maker who takes all the best decisions in order to maximize the profit of the whole supply chain. Here, the useful information required to make the best decisions is open to all members of the chain. On the other hand, in the decentralized supply chain all members decide in a separate and sequential way, how to maximize their profits. In order to coordinate efficiently the supply chain, both supplier and retailer are involved in a coordination contract that makes it possible for the decentralized decisions to maximize the profit of the entire supply chain. In this context, the situation that the supplier-retailer chain faces is a two-stage decision model. In the first stage the supplier, based on former knowledge about the market, decides the production capacity to reserve for the retailer. In the second stage, after that demand information is updated, the retailer determines the bundle price and the quantity of bundles to order. This paper considers a supply chain comprised of one supplier and one retailer in which two complementary fashion products are manufactured and sold as a bundle. The bundle has a short selling season and a stochastic price dependent on demand with a high level of uncertainty. Therefore, this research considers that the demand rates are uncertain and are dependent on selling prices and on a random noise effect on the market. Profit maximization models are developed for centralized and decentralized supply chains to determine decisions on production capacity reservation, order quantity of bundled products and the bundle-selling price. The applicability of the developed models and solution method are illustrated with a numerical example.
Optimization of Contact Edge Profile for Minimizing Contact Pressure in a Press-fitted Shaft

In the shrink or press-fitted shafts such as railway axles, the rotor of a steam turbine or coupling, a high-stress concentration takes place in the close of contact edge due to relative slip between shaft and boss in a press-fitted shaft and this is a major cause of fatigue failure of the shaft. The object of this paper is to build a finite element analysis model for analysing press-fitted and bending load condition in a pressfitted assembly and is to propose a hub shape optimization method to minimize a contact pressure in the close of shaft contact edge. Numerical asymmetric-axisymmetric finite element model was developed to predict the contact stress state of the press-fitted shaft. Global optimization method, genetic algorithm, and local optimization method, sequential quadratic programming, was applied to the press-fitted assembly to optimize the hub contact edge geometry. The results showed that the maximum contact pressure with optimized hub shape decreased more than 60% compared to conventional hub shape, the maximum contact stress affecting fatigue life reduced about 47%. In addition, hub shape optimization design could be a useful tool, able to increase the load capabilities of press fits concerning wear and fatigue behaviour.
Pengaruh Model Pembelajaran Inkuiri Terbimbing Terhadap Kemampuan Berpikir Kritis Peserta Didik

This study aims to determine the effect of guided inquiry learning model toward critical thinking skills of students. This type of research is quasi experiment with non-equivalent group design. Sampling using purposive sampling technique, so that obtained class XI MIA 1 as experiment class and class XI MIA 2 as control class. The research instrument is a essay test of 5 questions that have been tested for validity, reliability, level of difficulty, and different power of problems. The learning data of the two classes is normally distributed. Based on the homogenity data obtained both homogeneous. Data were analyzed by MANOVA test. Result of data analysis show significance 0,021 if determined the level of significance 0,05 then 0,021<0,05. Based on these facts it can be concluded that there is influence of guided inquiry learning model toward critical thinking skills of students.