Miracle-dz/UniFAR-FTUs huggingface dataset:
Coagulopathy and plasma transfusion in critically ill patients

Background and objective: Transfusion-related acute lung injury (TRALI) is the leading cause of transfusion-related morbidity and mortality. Specific therapy is lacking. We assessed whether C1-inhibitor attenuates lung injury in a ‘two-hit’ TRALI model. Methods: Mice were primed with lipopolysaccharide, subsequently TRALI was induced by MHC-I antibodies. In the intervention group, C1-inhibitor was infused concomitantly. Mice were supported with mechanical ventilation. After 2 hours, mice were killed, lungs were removed and bronchoalveolar lavage fluid (BALF) was obtained. Results: Injection of MHC-I antibodies induced TRALI, illustrated by an increase in wet-to-dry ratio of the lungs, in BALF protein levels and in lung injury scores. TRALI was further characterized by complement activation, demonstrated by increased BALF levels of C3a and C5a. Administration of C1-inhibitor resulted in increased pulmonary C1-inhibitor levels with high activity. C1-inhibitor reduced pulmonary levels of complement C3a associated with improved lung injury scores. However, levels of pro-inflammatory mediators were unaffected. Conclusion: In a murine model of TRALI, C1-inhibitor attenuated pulmonary levels of C3a associated with improved lung injury scores, but with persistent high levels of inflammatory cytokines.
Traffic Anomaly Detection for Smart Grid based on Hierarchical Spatial-Temporal Feature Learning

With the development of computer technology and communication technology, the demand for broadband smart grid services is rising rapidly, and the network traffic is growing rapidly. With the digital evolution of power grid, smart grid has also emerged, which makes broadband power network more widely used. In recent years, the traffic and bandwidth of smart grid have increased dramatically, smart grid is facing increasing risk of attack, traffic anomaly detection for smart grid is of great significance to the healthy development of broadband smart grid. This paper proposes a traffic anomaly detection method based on hierarchical spatial-temporal feature learning for smart grid service, using Res2Net and Spatial Attention Mechanism to improve CNN to extract spatial features, and then connect Bidirectional LSTM module to extract temporal features. This method extracts features from temporal granularity and spatial granularity. By adding multi-scale feature extraction module and spatial attention module, while obtaining spatial feature information of different scales, different weights are given to spatial features, and more attention is paid to the parts containing more key information, the part that contains less key information will be less concerned, thereby enhancing the ability of feature representation, improving the accuracy of traffic anomaly detection, and reducing the false alarm rate of smart grid.
Body Composition and Bone Mineral Density of National Football League Players

Abstract Dengel, DR, Bosch, TA, Burruss, TP, Fielding, KA, Engel, BE, Weir, NL, and Weston, TD. Body composition and bone mineral density of national football league players. J Strength Cond Res 28(1): 1–6, 2014—The purpose of the present study was to examine the body composition of National Football League (NFL) players before the start of the regular season. Four hundred eleven NFL players were measured for height, weight and lean, fat, and bone mass using dual-energy x-ray absorptiometry (DXA). Subjects were categorized by their offensive or defensive position for comparison. On average, positions that mirror each other (i.e., offensive lineman [OL] vs. defensive lineman [DL]) have very similar body composition. Although OL had more fat mass than DL, they were similar in total and upper and lower lean mass. Linebackers (LB) and running backs (RB) were similar for all measures of fat and lean mass. Tight ends were unique in that they were similar to RB and LB on measures of fat mass; however, they had greater lean mass than both RB and LB and upper-body lean mass that was similar to OL. Quarterbacks and punters/kickers were similar in fat and lean masses. All positions had normal levels of bone mineral density. The DXA allowed us to measure differences in lean mass between arms and legs for symmetry assessments. Although most individuals had similar totals of lean mass in each leg and or arms, there were outliers who may be at risk for injury. The data presented demonstrate not only differences in total body composition, but also show regional body composition differences that may provide positional templates.
Geriatric Disease Prediction: A Study on Age-Based Disease Prognostication

The rapid growth in technology leads to the evolution in many sectors one of them being the health sector Where in the health sector Machine learning is playing a vital role in predicting disease. This work depicts the prediction of disease through Machine Learning by training the data with the ML algorithms such as Naïve Bayes, Decision Tree, Logistic Regression,KNN, and Random Forest trained on the provided dataset. Age is taken as the input from the user as symptoms may vary by age and pass the datasets through training and evaluate the metrics. The best algorithm is determined by the accuracy and f1_score.
Online Transparency and Accountability in HEIs: the case of the Portuguese Public Polytechnic Institutes

This paper aims to further contribute to the discussion of the importance of online transparency and accountability in Higher Education Institutions (HEIs) in the context of increasing societal interest in how public institutions are managed and how they use public funds. The paper is dedicated to assessing the degree of transparency in the schools of 15 Portuguese Public Polytechnic Institutes based on the content of their institutional websites. To this purpose, we employed the “Global Transparency Index” (GTI), adjusted to Portuguese reality. Our findings suggest that there is still room for improvement in terms of transparency, such as the need for specific information about the polytechnic institutes, particularly about their president’s schedule, and the need for greater accessibility of teacher contact information. However, the study also finds that the Portuguese Polytechnic Institutes excel in providing e-services and ensuring that their websites are user-friendly, well-designed, and accessible.
Succession in riparian communities of the lower Yellowstone River, Montana

Riparian plant communities of the lower Yellowstone River between Glendive and Sidney, Montana, were studied during the Summers of 1980 and 1981. These communities o r ig in a lly colonized sand and gravel bars deposited along the River channel. New sand deposits were invaded by Salix spp. and Populus deltoides Marsh, seedlings. This original community developed sequentially to willow thickets, to young cotton­ wood forests, and to mature cottonwood forests a fte r about 3, 7 , 34 and 92 years, respectively. While the mature cottonwood community is usually replaced by a grassland community (princ ipa lly Agropyron smithii Rydb.) via a shrub community ( Rosa woodsi i L in d l. and Symphoricarpos occidental is Hook.), i t may be replaced by a Fraxinus pennsylvanica Marsh, plant community. Numbers of species with constancies of over 60% rose from 12 in the seedling community to. 18 in the mature cottonwood community and declined to 13 in the grassland. Composition changes are documented,,! 'n releve tables. Populus deltoides density fe l l rapidly from 48/nT at 3 years to 0.02/m2 at 92 years; Salix spp. disappeared s t i l l , more rapidly, with declines from 10/m2 at 3 years to near 0/m2 at 34 years. Aboveground biomass rose from 0.2 kg/m2 at 3 years to 30 kg/m2 at 60 years and declined to less than 0.5 kg/m2 in near-climax grasslands; most of the large mass observed at mid-sere is l iv ing wood. Belowground biomass rose from about 7 kg/m2 a t '3 years to over 30 kg/rrr at 90 years and declined to about 19 kg/m2 in grasslands; over hqlf of this biomass was soil organic, matter in every community. Root/shoot ratios declined from 3/1 in the seedling community to 1/2 in the mature cottonwood community and rose again to 10/1 in the grassland. K, Na and N contents of the communities and ecosystem rose and fe l l with the rise and fa l l in i ts biomass. In contrast, P rose more rapidly in early succession and continued to rise slowly through the grassland stage. Management implications of logging and altered StreamfTow are discussed.
CALIBRATION CHAMBER STUDIES OF PIEZOCONE TEST IN COHESIVE SOILS. DISCUSSION AND CLOSURE

A discussion of a paper with the aforementioned title by Kurup, Voyiadjis, and Tumay, published in this journal (Volume 120, Number 1, January 1994), is presented. The discusser focuses on the initial drop in excess pore pressures, attributing it to redistribution due to high gradient around the cone, rather than the authors' observation of normal stress reduction when penetration ceases. Teh also notes that the authors incorrectly use theoretical dissipation curves presented by Teh and Houlsby to interpret dissipation data normalized by initial pressure. Teh concluded his discussion by stating that the proposed method by Teh and Houlsby should be used in conjunction with the penetration pore-water pressure. Discussion is followed by closure from the authors.
Working Papers / Documents de travail

Recent empirical analysis of income distributions are often limited by the exclusive availability of data in a grouped format. This data format is made particularly restrictive by a lack of information on the underlying grouping mechanism and sampling variability of the grouped-data statistics it contains. These restrictions often result in the unavailability of an analytical parametric likelihood function exploiting all information available in the grouped data. Building on recent methods for inference on parametric income distributions for this type of data, this paper explores a new Approximate Bayesian Computation (ABC) approach. ABC overcomes the restrictions posed by grouped data for Bayesian inference through a non-parametric approximation of the likelihood function exploiting simulated data from the income distribution model. Empirical applications of the proposed ABC method in both simulated and World Bank’s PovCalNet data illustrate the performance and suitability of the method for the typical formats of grouped data on incomes
Deep Reinforcement Learning Based Bus Stop-Skipping Strategy

Stop-skipping strategy can benefit both bus operators and passengers if the control is intelligent enough to adapt to the changes in passenger demands and traffic conditions. This is possible via deep reinforcement learning (DRL), where an agent can learn the optimal policy by continuously interacting with the dynamic bus operating environment. In this paper, one express bus lane followed by one no-skip flow is treated as one episode for bus route optimization. The objective is to maximize the passenger satisfaction level while minimizing the bus operator expenditures. To this end, a reward function is formulated as a function of passenger waiting time, passenger in-vehicle time, and total bus travel time. By training an agent of a double deep Q-network (DDQN), simulation results show that the agent can intelligently skip the stations and outperform the noskip method, under different passenger distribution patterns.
PENERIMAAN DAN BELANJA PEMERINTAH DAERAH DI INDONESIA: ANALISIS SIGMA KONVERGEN DAN BETA KONVERGEN

The important role of managing the Regional Government Budget in the era of fiscal decentralization is to reduce a inequality inter provinces or regions. However, the management of the Regional Government Budget is not optimal because of differences in regional characteristics that make the gap between provinces in Indonesia. The purpose of this study is to see the convergence inter provinces in Indonesia through the convergent sigma and convergent beta approach. The analysis used in viewing convergence on convergent sigma is Coefficient of Variant and for convergent beta using Panel Least Square analysis tool. The results of the analysis obtained in this study on convergent sigma are not convergent due to the average Coefficient of Variant value of 1.5% and 1.12% in each local government revenue and expenditure. While the convergent beta for local government revenue can provide convergent conditions that require ± 13 years with a convergence speed of 5.3%. While in local geverment expenditure can encourage convergent conditions to require ± 12 years with a speed of 5.7%. Thus, the government needs to optimize the management of Regional Government Budget.
Ranking Rules in Associative Classifiers via Borda’s Methods

Associative classifiers have been widely used in many domains due to their inherent interpretability. They are built in steps, one of them aimed at ranking the rules, usually performed through objective measures. Works aim to modify this step in order to obtain a classifier with better performance. Among them are those that use multiple measures simultaneously in order to consider different points of view for a given rule. However, these works present problems regarding execution time and interpretability. Here we show the use of ranking aggregation methods, specifically Borda’s methods, to rank the rules through a set of measures. Our results demonstrate that our solution is fast to execute and still guarantee the interpretability of the models, since they contain a statistically significant smaller number of rules.
Indigenous ecological knowledge and its role in fisheries research design: A case study from Roviana Lagoon, Western Province, Solomon Islands

Over the last two decades the island states of Melanesia have experienced a rapid increase in coastal development activities. These include the large commercial tuna pole-and-line fisheries, ecotourism, aquaculture, coastal logging and, in recent years, the live reef fish trade. These activities make significant contributions to local and central economies but concerns have been raised about their impact on local ecosystems, and their long-term environmental sustainability (Chadwick, 1999; Mathews et al., 1998; Veitayaki, 1997). In response to these concerns increasing pressure has been put on government agencies to develop coastal management plans and on developers to utilise these plans in the design of sustainable management practices (Olsen et al., 1997). Unfortunately the implementation and success of such policies has been limited. In part this stems from the difficulties and cost of acquiring the high quality scientific data that most management plans and monitoring programmes rely on. As Johannes et al. (1993:1) point out for coastal fisheries, ‘The cost and complexities of effectively monitoring and managing small, multi-species, multi-method reef and lagoon fisheries along conventional lines have generally proven prohibitive’. Nevertheless, in many cases extensive ecological information on the relevant coastal environments already exists within the knowledge base of the local communities. Further, these same communities are often operating management and monitoring programmes of sorts, within the context of customary marine tenure (CMT) systems (Foale, 1998a; Foster & Poggie, 1993; Hviding, 1991; Johannes, 1981).
Inuit Perspectives on Polar Bears (Ursus maritimus) and Climate Change in Baffin Bay, Nunavut, Canada

Abstract Scientific research has demonstrated negative effects caused by climate change on three of 19 polar bear populations’ worldwide (Stirling et al. 1999; Aars et al. 2006). As a result the status of polar bears has been uplisted by the IUCN/SSC to vulnerable (Schliebe et al. 2006). At the same time, Inuit hunters in many areas of the Canadian arctic have reported increased sightings of polar bears and have received hunting quota increases (Aars et al. 2006). One of the areas where quotas were increased in 2004 is the Baffin Bay polar bear population. Scientific studies indicate a decline in this population (Aars et al. 2006). This paper reports on interviews conducted during the spring of 2005 in the three Canadian Baffin Bay hunting communities. All three communities reported similar environmental changes but provided different information on polar bear numbers and different interpretations for observed changes in polar bear behaviour. A north-south gradient was identified, with more polar bears and bears signs being encountered in the north-western part of Baffin Bay. The reason for increased Inuit sightings of bears and bear signs when scientific studies indicate a declining population in Baffin Bay is unknown. Possible explanations for this phenomenon include 1. Immigration from an abundant adjacent population (Lancaster Sound) has increased numbers in the northern area, 2. Scientific studies underestimated the population, and 3. Climate change induced changes in bear have increased densities along the coast. This question cannot be resolved with the information available at present. (* Martha Dowsley, Department of Geography, McGill University. Email: martha.dowsley@mail.mcgill.ca)
Increasing the Environmental Sustainability of Asphalt

There is increasing interest in improving the sustainability of every aspect of life in order to conserve resources and reduce carbon emissions. Great strides have been made to improve the environmental sustainability of asphalt with the industry implementing measures to improve its durability, reuse reclaimed asphalt and incorporate secondary materials. Durability is a major issue for minimising both the environmental impact of and traffic disruption caused by subsequent maintenance, whilst recycling should be the easiest method of improving environmental sustainability. The incorporation of secondary material has great potential, although its recyclability needs to be considered. The effect on the carbon footprint of these effects and other life-cycle impacts should increase the environmental sustainability of asphalt pavements. This Insight Report describes these measures and considers the resulting life-cycle implications. (A)
Developing a Green Ecosystem Service Platform for EU Environmental Regulations using Design Science Research Methodology

The high-tech electronics industry must comply with international environmental protection and human health regulations, such as the EU RoHS and REACH directives, as well as other regulations that prohibit or restrict certain substances. Electronics and electrical manufacturers have developed green supply chain management systems (GSCMS) to meet these regulatory requirements. However, as the number of GSCMS private cloud systems increases, it becomes more difficult for upstream suppliers to respond to multiple customers' GSCMS investigation processes. The study aims to develop and design a multi-enterprise service platform with a hybrid cloud architecture based on the design science research method (DSRM) to address this issue. The platform's objective is to enhance the provision of cross-system services and both upstream and downstream connection services, to satisfy the material and part approval demands of the industry and its multi-tier suppliers. Moreover, it seeks to minimize the necessity of repeating the green material and part approval process within GSCMS. Developing a green supply chain platform using the DSRM is considered feasible in the study. This platform can effectively lower operating costs for businesses, enhance economic gains, and assist in complying with EU environmental regulations, thereby promoting sustainable development.
Evolving the Enterprise Resource Planning System in Use to Improve Control Management : A Case Study in the Communications and Multimedia Services Trade

This research aims to understand how and why an Enterprise Resource Planning (ERP) system should evolve to improve management control. Having as supporting theory the ERP system, the holistic single case study method was applied in a communications and multimedia services trading company. Data collection was based on documents, participant observation and interview with the company manager. The main results showed the need to change the ERP system in order to allow disaggregating information to greater detail. Such disaggregation was evidenced for accounting reporting, costs per vehicle, costs per driver, nonfinancial performance per employee and performance per store. As an extension of theory, the need for management accounting to build disaggregated information and the interdependence of adaptive Information Systems (ISs) are reinforced.
Controlled ecosystem pollution experiment: effect of mercury on enclosed water columns. VIII. Summary of results

In a summary of previous experiments conducted in plastic enclosures Menzel (1977) pointed out that the initial effects of pollutants on the biota appeared similar regardless of the pollutant tested. His remarks were based largely on a series of experiments performed in small enclosures (68 m/sup 3/) for periods up to 30 days. The papers included in this and the preceding issue of this journal document the reactions to mercury of plankton communities maintained in 1300 m/sup 3/ plastic enclosures for a period of 72 days.
End-to-End Learning for Free Space Optical Communication with BiLSTM-based Channel Model

Free space optical communication (FSO), which has the advantages of low cost, high security, and high bandwidth, is considered to be a promising technology in the future 6G satellite-ground integrated network. However, in practical applications, traditional modular FSO systems cannot achieve global optimum. To address this challenge, we build BiLSTM-based atmospheric channels in a data-driven manner to characterize realistic FSO channels. On this basis, an end-to-end learning technique is proposed and introduced into the FSO system to achieve lower BER and longer transmission distance.
Does Trade Credit Absorb Adverse Shocks?

The aim of this paper is to examine whether trade credit contributes to absorbing adverse shocks to firms. If the relaxation of trade credit terms contributes to holding back the level of real activities, firms that postpone payment to suppliers would not reduce the amount of purchases when they encounter exogenous adverse shocks. We test this hypothesis by investigating the relation between the postponement of payment and the reduction in purchase amounts by using data of SMEs obtained from two corporate surveys after the Global Financial Crisis and the COVID-19 shocks. From our analysis, we do not find that firms that postponed the payment are less likely to reduce the amount of purchases, which indicates that trade credit does not contribute to absorbing adverse shocks
Conversational Subjective Tests Based on Video-telephony Platform

Video-telephony applications are widely used in offices, education, medical care, social and other fields. This paper introduces a method designed for conversational subjective tests, based on an open-source video-telephony platform, focusing on multimedia quality and interaction experience perceived by users under various network states. The research is carried out as part of the ‘Computational model used as a QoE/QoS monitor to assess video-telephony services’ (G.CMVTQS) project, which is under study in ITU-T SG12 Q.15. Six different laboratories, from four countries, are collaboratively working on the conversational subjective tests. The designed test bed is described, along with the lab deployment, the simulation of network distortions and the method used for subjective evaluation.