Miracle-dz/UniFAR-FTUs huggingface dataset:
Disseminated Intravascular Coagulation Immediately after Trauma Predicts a Poor Prognosis in Severely Injured Patients: A Sub-analysis of a Multicenter Prospective Study on Disseminated Intravascular Coagulation in Trauma

Background: Trauma patients die from massive bleeding due to DIC with a fibrinolytic phenotype in the early phase, which transforms to DIC with a thrombotic phenotype in the late phase of trauma, contributing to the development of MODS and a consequent poor outcome. The aim of this study is to evaluate the effect of a disseminated intravascular coagulation (DIC) diagnosis on the survival probability and predictive performance of DIC scores for massive transfusion, multiple organ dysfunction syndrome (MODS), and hospital death in severely injured trauma patients.Methods: Severely injured adult patients (Injury Severity Score >16) were prospectively evaluated for their DIC scores and molecular markers of coagulation and fibrinolysis immediately after emergency department presentation (0 h) and 3 h after admission. Organ dysfunction was assessed by the sequential organ failure assessment (SOFA) score at 24 h after admission. The performance of DIC scores in predicting massive transfusion, MODS, and hospital death, and the effect of a DIC diagnosis on the survival probability were investigated.Results: The 276 enrolled patients included 121 DIC and 155 non-DIC patients. DIC patients showed larger transfusion volume and higher SOFA scores than non-DIC patients at 24 h after admission. A DIC diagnosis on admission was associated with a lower survival probability (Log Rank p<0.001), higher frequency of massive transfusion and MODS, and higher mortality rate than no such diagnosis. DIC scores at 0 h and 3 h predicted massive transfusion, MODS, and hospital death with significance (all areas under the receiver operating characteristic curves, p<0.001). Markers of thrombin and plasmin generation and fibrinolysis inhibition also showed a good predictive ability for these three items.Conclusions: A DIC diagnosis on admission was associated with a low survival probability. DIC scores obtained immediately after trauma predicted a poor prognosis of severely injured trauma patients.Trial registration: UMIN-CTR, UMIN000019588. Registered on 16 November 2015.
Unwrapping the Surprisingly High Risk of Dying from Cardiovascular Disease at Christmas: The HUNT Prospective Population-based Cohort Study in Norway

BackgroundAlthough it is known that winter inclusive of the Christams holiday period is associated with an increased risk of dying compared to other times of the year, very few studies have specifically examined this phenomenon within a population cohort subject to baseline profiling and prospective follow-up. In such a cohort, we sought to determine the specific characteristics of mortality occuring during the Christmas holidays. MethodsBaseline profiling and outcome data were derived from a prospective population-based cohort with longitudinal follow-up in Central Norway - the Nord-Trøndelag Health Study. From 1984-1986, 88% of the target population comprising 39,273 men and 40,353 women aged 48±18 and 50±18 years, respectively, were profiled. We examined the long-term pattern of all-cause mortality and specific causes of death according to season, month and individual days of the year to determine the number of excess (cause-specific) deaths occuring at key timepoints (including the Christmas holidays). ResultsDuring 33.5 (IQR 17.1-34.4) years follow-up, 19,879 (50.7%) men and 19,316 (49.3%) women died at age-adjusted rate of 5.3 and 4.6 deaths per 1000/annum, respectively. Each winter, there were 44 (95% CI 43-45) more all-cause deaths compared to summer, with 21 (95% CI 20-22) more deaths attributable to cardiovascular disease. Compared to any other time of the year, December 25th-27th was the deadliest; being associated with an excess of 1.3 (95% CI 1.1-1.5) all-cause and 1.0 (95% CI 0.7-1.3) cardiovascular-related deaths per day each year. Compared to the pre-Christmas/Winter period (1st-21st December), the incidence rate ratio of all-cause mortality increased to 1.22 (95% CI 1.16-1.27) and 1.17 (95% 1.11-1.22) in men and women, respectively, in the next 21 days (Christmas/New Year holiday period). All observed differences were highly significant (P<0.001). A less pronounced pattern of seasonally-linked deaths attributable to respiratory illnesses (but not cancer) was also observed.ConclusionChristmas in Central Norway is characterised by a distinctive change and increase in cardiovascular-related mortality over and above that observed between winter (more deaths) and summer (fewer deaths). This distinctive pattern contrasted with cancer-related deaths. Further research to address vulnerability to the darker consequences of winter and, more specifically Christmas, is required.
High-order fully actuated system approaches: Part III. Robust control and high-order backstepping

In this paper, three types of uncertain high-order nonlinear models are firstly proposed, namely, a single high-order fully actuated (HOFA) model with nonlinear uncertainties, an uncertain second-order strict-feedback system (SFS) and an uncertain high-order SFS, and the relations among these types of models are also discussed. Secondly, a direct approach for the design of robust stabilising controllers and robust tracking controllers for an uncertain single HOFA model are proposed based on the Lyapunov stability theory. Using the obtained robust control design result, the second- and high-order backstepping methods for the designs of robust stabilising controllers of the introduced second- and high-order SFSs are also proposed. The proposed approaches do not need to convert the high-order systems into first-order ones, and for a specific system design, the proposed high-order backstepping methods need fewer steps than the usual first-order backstepping method, hence are generally more direct and simpler. An illustrative example demonstrates both the effect and the application procedure of the proposed HOFA robust control approaches.
Layered antiferromagnetism with high Neel temperature in the intermetallic compound Mn2Au

On the basis of earlier experimental studies the intermetallic compound Mn2Au has been characterized as a nonmagnetically ordered material. Here we report the results of first-principles calculations based on local spin-density approximation that describes Mn2Au to have a narrow band ground state with rigid local moments on the Mn sites. Calculations of the interatomic exchange constants based on the magnetic force theorem and a Monte Carlo modeling of the resulting Heisenberg-like Hamiltonian predict a high Neel temperature of ∼1600 K. This temperature is considerably higher than for the other known high-temperature antiferromagnetic L10-type Mn based binary alloys used in magnetic storage applications.
Geodata collection and visualisation in orchards: interfacing science-grower data using a disease example (European canker in apple, Neonectria ditissima)

The collection and visualisation of data in orchards are important for management of many orchard processes, including pests and diseases. We present methods combining visualising data with efficient, accurate, standardised data collection, using European canker in apple orchards as an exemplar. Using growercollected current and historical disease data, we investigated Environmental Systems Research Institute (ESRI) ArcGIS tools to analyse and visualise data. Historical data were collected by growers on paper and current data, also collected by growers, using Survey123. ArcGIS Pro was the operating software for analysis, and ArcGIS Online, Web Maps and ArcGIS Dashboards, for visualisation. Data collection, summarising and visualisation were more efficient using Survey123, than paper collection and subsequent data entry. Higher quality data, including spatial location of the disease, informed disease patterns. A standardised geodatabase enabled efficient data querying and analytics to understand disease distribution and temporal dynamics. This study exemplars a standardised disease and pest database to benefit both scientific and industry data management. Geodata collection, combined with visualisation, facilitates the use of data to understand disease and pest dynamics. These techniques offer opportunity for a cohesive industry approach to area-wide disease and pest monitoring and management, integrating previously disparate datasets by using location.
Exploring the Attractiveness of Residential Areas for Human Activities Based on Shared E-Bike Trajectory Data

Human activities generate diverse and sophisticated functional areas and may impact the existing planning of functional areas. Understanding the relationship between human activities and functional areas is key to identifying the real-time urban functional areas based on trajectories. Few previous studies have analyzed the interactive information on humans and regions for functional area identification. The relationship between human activities and residential areas is the most representative for urban functional areas because residential areas cover a wide range and are closely connected with human life. The aim of this paper is to propose the CARA (Commuting Activity and Residential Area) model to quantify the correlation between human activities and urban residential areas. In this model, human activities are represented by hot spots extracted by the Gaussian Mixture Model algorithm while residential areas are represented by POI (point of interest) data. The model shows that human activities and residential areas present a logarithmic relationship. The CARA model is further assessed by retrieving urban residential areas in Tengzhou City from shared e-bike trajectories. Compared with the actual map, the accuracy reaches 83.3%, thus demonstrating the model’s reliability and feasibility. This study provides a new method for functional areas identification based on trajectory data, which is helpful for formulating the urban people-oriented policies.
Development of TES-based x-ray microcalorimeters for HUBS

Hot Universe Baryon Surveyor (HUBS)1 is being conceptualized in China as a high throughput and highresolution spectroscopic X-ray mission dedicated to studying cosmic “missing” baryons, which are thought to exist in the gas of very low density and temperature of roughly one million degrees in the halo of galaxies or in large-scale structures. To detect weak emission from the “missing” baryons, HUBS will employ an X-ray microcalorimeter based on transition-edge sensors (TES) array that operates at very low temperatures. The key characteristics of the detector technology are excellent energy resolution and high quantum efficiency, which makes it an ideal choice for constructing a non-dispersive X-ray imaging spectrometer. We are developing X-ray microcalorimeters for HUBS, based on superconducting Mo/Cu bilayer films. In this work, we present results on characterization of the Mo/Cu films and TES devices at temperatures below 200 mK, including their I − V characteristics, pulse signals and energy resolutions. We have also studied correlations between the superconductivity and other properties of the films (including residual resistivity ratio, stress, crystalline structure, interface properties, etc.). Preliminary results are presented in this work.
Evidence of Crystallization–Induced Segregation in the Phase Change Material Te-Rich GST

When the phase change material Ge2Sb2Te5 melts during the RESET switching of a phase change memory (PCM) device, it is known that electromigration (elemental segregation under electric field or current) can cause the region near the positively-biased electrode to become rich in Tellurium. We show that the laser-induced crystallization of deposited films of similarly Telluriumrich GeSbTe (GST) material is 1000 slower than the crystallization of conventional Ge2Sb2Te5 material, and that this material can readily flow and create voids at temperatures as low as 350 C. AFM and Auger analysis of Te-rich GST films reveals significant thermal-induced motion and elemental segregation, occurring in the absence of an electrical field and at similarly low temperatures. This phenomenon, termed crystallization-induced segregation, occurs when material rearrangement within the poorly-crystallizing, under–cooled–liquid Te-rich GST matrix forms a local stoichiometry which is capable of much more rapid crystallization. The process of crystallization itself then reinforces this stoichiometry, at the expense of the elements not needed, with a growth–rate limited by material diffusion. This crystallization-induced segregation — which can readily occur in GSTbased phase change memory (PCM) devices, especially after the onset of electromigration — is an important additional component to understanding both bias-polarity-based phenomena and endurance failure in GST–based PCM devices. VC 2011 The Electrochemical Society. [DOI: 10.1149/1.3614508] All rights reserved.
In silico Identification and Analysis of Iron (Fe) Transporters in Various Plant Species

In plants, Iron is an important micronutrient which is required for various processes like photosynthesis, respiration and for balanced redox potential. Iron has a significant role in human nutrition. Therefore, increasing the Fe content of economical parts through conventional, Molecular and/or Transgenic breeding will have dramatic impact on human health. Therefore, this study was aimed to identify and characterize homologues of OsIRT1, OsIRT2, OsVIT1, OsYSL2, OsYSL15 and OsYSL18 in 21 different plant species. The study revealed that, a total of 51 putative Fe transporter proteins homologues were identified which could be characterized with 555 to770 amino acids sequence length with 61 to 84.8 kDa molecular weight and pI of 8.2 to 9.4 having basic nature with 9 to15 TMD with an average of 13 TMDs. The sub-cellular localization of putative Fe transporters was predicted as the plasma membrane and all the identified Fe homologues contained oligopeptide transporter (OPT) domain proteins which play a significant to role in Fe transport and homeostasis. Further, the analysis led to identification of highly conserved residues in the putative Fe sequences which could be used as potential motif signatures in identification of new Fe transporter. The interactome analysis for oryza sativa OsYSL15 transporter showed putative interaction with NAS2, NAS1, DMAS1, OsJ_32857, IRT1, IRO2, IDEF1, IRT2, IDI2 which are found to be directly involved in Fe transport from roots to grain. This study, elucidates the valuable theoretical knowledge about the Fe genes, protein features and assist in molecular manipulation of Fe transporters in various plants for developing high Fe in economical part.
Nano-Niosomal Formulation of Alkaloids from Vinca rosea for Improved Oral Delivery

Phytochemicals, the natural biochemical substances produced by plants possess a range of medicinal values. These phytochemicals get into our system through food and bring different physiological benefits. However, many of these phytochemicals lack essential physicochemical properties that can provide them effective drug-likeness properties. Vinca rosea alkaloids are known for their therapeutic values especially in the cancer treatment domain. However, the physiochemical properties of these molecules limit their bioavailability greatly. This current research aimed at improving the bioavailability of Vinca rosea alkaloids through the nanovector system, niosomes. Vinca alkaloids were extracted, purified, screened and quantified. Niosomal constructs of the alkaloids were made, characterized through scanning electron microscope and ex-vivo studies were carried out using goat intestine. The size of the niosomes was found to be in the range of 400 to 800 nm. Results shows that niosomal formulation can increase bioavailability of Vinca rosea alkaloids two folds compared to the native alkaloid extract.
Optimal Ordering Policy for Supply Option Contract with Spot Market

This paper considers the procurement mechanism with two supply channels, namely, an option contract purchase and a spot market. For the mechanism, under the stochastic demand and the stochastic spot price, we consider the portfolio procurement with the spot trading liquidity and the option speculation respectively. To maximize the buyer’s profit, we establish two optimal portfolio procurement strategy models for those two scenarios. Based on the buyer’s cost-benefit analysis, we present a solution method to each model and provide an optimal ordering policy to the buyer. By the obtained results, we analyze the role of the spot trading liquidity and option speculation in a buyer’s expected profit. Some numerical experiments are presented to show the validity of the formulated models.
The Influence of Calcination Temperature on Photocatalytic Activity of TiO2-Acetylacetone Charge Transfer Complex towards Degradation of NOx under Visible Light

The improvement of photocatalytic activity of TiO2-based nanomaterials is widely investigated due to the tentative of their industrialization as environmental photocatalysts and their inherently low solar spectrum sensitivity and rapid recombination of charge carriers. Coupling of oxygen-based bidentate diketone to nanocrystalline TiO2 represents a potential alternative for improving the holdbacks. Formation of TiO2-acetylacetone charge transfer complex (CTC) by sol-gel route results in a hybrid semiconductor material with photodegradation activity against toxic NOx gas. In this research, the influence of the chelating agent acetylacetone (ACAC) content on the CTC photocatalytic efficiency under visible light was evaluated. A high content of ACAC in the CTC is not a decisive factor for efficiency of photocatalytic reactions. In fact, the highest efficiency for NOx degradation (close to 100%, during 1 h of visible light exposure) was reported for the material calcined in air at 300 °C with the content of strongly bonded acetylacetone not higher than 3 wt. %. Higher calcination temperature (400 °C) left TiO2 almost completely depleted in ACAC, while at the highest applied temperature (550 °C) a portion of anatase was transformed into rutile and the sample is free of ACAC. The analyses pointed out that superoxide anion radical (O2−) plays an active role in photo-oxidation of NOx. Our findings indicate that this CTC has both high visible light spectral sensitivity and photocatalytic efficiency.
THE IMPORTANCE OF INTONATION IN THE PERFORMANCE OF DIFFERENT SPEECH ACTS

There are many pieces of substantial evidence that many world languages employ intonation to perform a lot of daily life actions. Recent studies indicate that intonation is part and parcel of any practical analysis of linguistic components. However, it was only in 1990s until we start to see studies on intonation and speech act. The link between intonation and speech act has not met the required attention. Moreover, lack of sufficient knowledge about the correct use of intonation among non-native English language speakers shows non-native like English proficiency among them. This then may have effects on the teaching and learning of the English language on students. The study aims at examining the role intonation plays in the performance of different speech acts. Thus, the paper provides a further explanations and illustrations to understand the role intonation has in speech act theory.
Sustainable warehouse evaluation with AHPSort traffic light visualisation and post-optimal analysis method

Abstract Sustainable warehousing is essential for organisations to achieve overall supply chain sustainability. Warehousing facilities have the greatest potential for reducing socio-environmental impact. Yet, both research and practice have given relatively less attention to considering all aspects of sustainability in warehouses. In order to address this gap, this study proposes combining both input from professionals and from a literature survey of triple-bottom-line theory in order to develop a sustainable warehouse criteria framework, thus contributing to sustainable organisational warehouse evaluation. The method supporting the evaluation of this framework is based on the integration of a multicriteria AHPSort traffic light visualisation technique and novel post-optimal analysis. Furthermore, the authors deployed this framework and integrated methodology in an Indian manufacturing company to evaluate and classify seven of their warehouses for decision making. The traffic light visualisation technique presents and conveys the results better than numbers. Finally, the new post-optimal analysis provides recommendations for cost efficient improvements. The findings of this study present valuable insights and guidelines for industrial managers and practitioners, especially those from the Indian manufacturing industry, for sustainable warehouse decision-making, and for improving their overall corporate sustainability performance.
Electrically regulated differentiation of skeletal muscle cells on ultrathin graphene-based films

The electrical conductivity of graphene provides a unique opportunity to modify the behavior of electrically sensitive cells. Here, we demonstrate that C2C12 myoblasts that were cultured on ultrathin thermally reduced graphene (TR-Graphene) films had more favorable cell adhesion and spreading compared to those on graphene oxide (GO) and glass slide substrates, comparable with conventional Petri dish. More importantly, we demonstrate that electrical stimulation significantly enhanced myoblast cell differentiation on a TR-Graphene substrate compared to GO and glass slide surfaces as confirmed by the expression of myogenic genes and proteins. These results highlight the potential applications of graphene-based materials for cell-based studies, bioelectronics, and biorobotics.
On the Measurement of Subjective Apprehension Risk

Do people think about offending risk in verbal or numerical terms? Does the elicitation method affect reported subjective probabilities? Rational choice models require potential outcomes (e.g., benefits/costs) to be weighted by their probability of occurrence. Indeed, the subjective likelihood of being apprehended is the central construct in criminological deterrence theory—the so-called certainty principle. Yet, extant literature has measured the construct inconsistently and with little attention to potential consequences. Using a series of randomized experiments conducted with nationwide samples of American adults (aged 18 and over), this study examines the degree of correspondence between verbal and numeric measures of apprehension risk, assesses the durability of numeric estimates specifically, and attempts to elicit how respondents naturally think about apprehension risk. The findings suggest that laypeople are somewhat inconsistent in their use of both verbal and numeric descriptors of probability, their numeric estimates of probability are unlikely to be precise or durable, and many seem to prefer thinking of risk in verbal terms (compared to numeric terms). Researchers should consider including both verbal and numeric measures of probability and explore alternative measurement strategies, including anchoring vignettes, which have been valuable in standardizing verbal responses in other disciplines.