Miracle-dz/UniFAR-FTUs huggingface dataset:
Insights into a personalized management of blood pressure in acute stroke

Purpose of review Blood pressure management in acute stroke has long been a matter of debate. Epidemiological data show that high blood pressure is associated with death, disability and early stroke recurrence, whereas the pathophysiological rationale for ensuring elevated blood pressure in order maintain adequate cerebral perfusion remains a pertinent argument, especially in ischaemic stroke. Recent findings The European Stroke Organisation Guidelines on blood pressure management in acute ischaemic stroke and intracerebral haemorrhage provide recommendations for the appropriate management of blood pressure in various clinical acute stroke settings. Summary In this narrative review, we provide specific updates on blood pressure management in ICH, blood pressure management in the setting of reperfusion therapies for ischaemic stroke, and the evidence for the use of induced hypertension in patients with acute ischaemic stroke in the light of the recent guidelines.
The Exploitation of a Hempseed Byproduct to Produce Flavorings and Healthy Food Ingredients by a Fermentation Process

Following the One Health principles in food science, the challenge to valorize byproducts from the industrial sector is open. Hemp (Cannabis sativa subsp. sativa) is considered an important icon of sustainability and as an alternative food source. Hemp seed bran, in particular, is a byproduct of industrial hemp seed processing, which is not yet valorized. The success, and a wider market diffusion of hemp seed for food applications, is hindered by its unpleasant taste, which is produced by certain compounds that generally overwhelm the pleasant bouquet of the fresh product. This research concerns the exploration of hemp seed bran through fermentation using beneficial lactobacilli, focusing on the sensorial and bioactive traits of the products when they are subjected to bacterial transformation. By studying of the aromatic profile formation during the fermentation process the aim was to modulate it in order to reduce off-odors without affecting the presence of healthy volatile organic compounds (VOCs). Applying multivariate analyses, it was possible to target the contribution of processing parameters to the generation of flavoring and bioactive compounds. To conclude, the fermentation process proposed was able to reduce unpleasant VOCs, whilst at the same time keeping the healthy ones, and it also improved nutritional quality, depending on time and bacterial starters. The fermentation proposed was a sustainable biotechnological approach that fitted perfectly with the valorization of hemp byproducts from the perspective of a green-oriented industrial process that avoids synthetic masking agents.
Study of the Crane Comprehensive Evaluation Index System

Scientific and practical crane evaluation index system is expected to obtain by screening of indices in this paper. The initial comprehensive evaluation indices are selected by stratification. Then the quantitative indices are screened by entropy method and Pearson correlation coefficient method, and the qualitative indices are screened by Delphi method and Spearman correlation coefficient method. The little effect indices on the evaluation result are deleted and the redundant information between the indices are got rid of. The index system simplified is comprehensiveness and representative, which is convenient to compare and evaluate cranes.
Corporate Social Responsibility and Corporate Financial Performance: An Empirical Literature Review

This study aims to present a literature review of recent studies on the relationship between environmental, social and governance (ESG) performance, corporate social responsibility (CSR) and corporate financial performance (CFP) and to provide a path for future researches. Using content analysis method, a total of 88 papers published in renowned journals, over the period 2015-2021, were selected in the review. Several findings have been made: first, the majority of researches have focused on the CSR’s “social impact” hypothesis on CFP; the reverse relationship seems to have been overlooked. Second, the contested results are likely to be attributable both to differences in research contexts and CSR’ laws but also to biases relating to the operationalization of CSR concept and CFP proxies retained. Finally, several arguments are advanced arguing for an indirect link between CSR and CFP. Future research should, therefore, pay attention to the different contingent variables that are likely to affect the studied relationship.
Thermal barrier sensor coatings - sensing damage and ageing in critical components

Existing thermal barrier coatings (TBCs) can be adapted enhancing their functionalities such that they not only protect critical components from hot gases, but also can sense their own material temperature or other physical properties. The self-sensing capability is introduced by embedding optically active rare earth ions into the thermal barrier ceramic. When illuminated by light the material starts to phosphoresce and the phosphorescence can provide in-situ information on temperature, phase changes, corrosion or erosion of the coating subject to the coating design. Quantitative measures of the degradation can be collected by non-destructive means such that the deterioration could be monitored. The results from different applications of the technology illustrate how the techniques could be used to gather information to move towards predictive maintenance routines. In addition, sensor TBCs can be employed to conduct temperature measurements either during operation or off-line to optimise operating conditions and reliably move to more efficient engine operation. Temperature measurements have been demonstrated during operation of a gas turbine. Furthermore, coatings have been installed in a UK power station and the profile of the luminescence decay time indicates the operating temperature map which corroborated with micrograph analysis.
Management Indicators and Measurement of Innovation: Review of the Literature

Several studies have demonstrated the necessity of indicators for innovation management, so as to control investments in R&D with greater efficiency. Nevertheless, the review of the literature suggests that the debate on the theme is still very incipient. In this sense, this study has for its object the answer to the following questions: (i) what does the review of the literature say on innovation management indicators? and (ii) how does one measure the results of innovation? To answer the 2 (two) questions, innovation management is analysed as a consequence of the market context and of the organizational strategy, being broken down into indicators. The methodology proposed is qualitative, resulting from searches in international periodicals. It suggests that rates of innovation are greatest when the innovation strategy is well understood and the alignment with other business areas more effective, being something more relevant than solely technological innovation. The conceptual model obtained is theoretical, and may be broken down into new studies for various sectors of interest and with different results.
Normalization of the Mini-MAC (Mental Adjustment to Cancer) Questionnaire among Cancer Patients

Cancer is associated with discomfort and many changes in patients’ lives to which they must adapt. The main objective of the study was to assess the use of the mini-MAC questionnaire scale among persons diagnosed with malignant cancer and to develop standards allowing differentiation of patients with diagnosed cancer in terms of their style of adjustment to the disease. The mini-MAC questionnaire is a widely used tool in assessing coping strategies among cancer patients. Sten standards have been developed to determine the level of results on the questionnaire scales in the low–average–high categories. The study included 1187 patients diagnosed with malignant cancer who are covered by outpatient care at the Maria Sklodowska-Curie Institute—Oncology Center in Warsaw. The questionnaire concerning mental adjustment to cancer was used (mini-MAC). Patients with cancer most often adopt strategies of fighting spirit and positive reevaluation. The variables that differentiate the results most significantly include gender, presence of metastasis, and the state of undergoing chemotherapy. The mini-MAC questionnaire should be a tool for psycho-oncological diagnosis of patients’ attitudes towards cancer. The obtained results indicate that cancer patients are characterized by their constructive style of adjustment to the disease.
Development of CO2 emission model of an acid gas incinerator using Nelder–Mead least squares support vector regression

This paper aims to develop a CO2 emission model of an acid gas incinerator using Nelder–Mead least squares support vector regression (LS-SVR). The Malaysia Department of Environment is actively imposing the Clean Air Regulation to mandate heavy industries to comply with emission limits. One of the latest measures is to mandate the installation of analytical instrumentation known as a continuous emission monitoring system (CEMS) to report the emission level online to the Department of Environment office. As a hardware-based analyser, CEMS is expensive, maintenance intensive and often unreliable. Therefore, software predictive techniques are often preferred and considered a feasible alternative to replace the CEMS for regulatory compliance. The LS-SVR model is built based on the emissions from an acid gas incinerator that operates in a liquefied natural gas complex. Simulated annealing is first used to determine the initial hyper-parameters, which are further optimized based on the performance of the model using a Nelder–Mead simplex algorithm. The LS-SVR model is shown to outperform a benchmark model based on back-propagation neural networks in both training and testing data.
Numerical Impact Response Analysis of Rockfall Protection Galleries

In Japan, rockfall protection galleries have been designed on the basis of the allowable stress design concept. To establish a rational impact-resistant design procedure for the galleries, an understanding of both elastic and elasto-plastic dynamic behavior of the galleries under impact loading is required. In addition, an evaluation method for the load-carrying capacity is also necessary. To meet these requirements, a three-dimensional numerical analysis method is proposed and its applicability is verified by comparing it with the experimental results of a prototype reinforced concrete girder with a sand cushion under falling-weight impact loading. Subsequently, using a prototype gallery with a sand cushion subjected to falling-weight impact loading, numerical simulations were conducted by varying the magnitude of input impact energy. The analysis of impact force, penetration of the weight into the sand cushion, displacement of the roof slab, crack patterns, and the safety margin of the gallery are discussed.
State-space d-q axis models of saturated salient pole synchronous machines

Transient d-q axis models of saturated salient pole synchronous machines, available today, are those in which either all the winding currents or all the winding flux linkages are selected as state-space variables. A general, six-winding salient pole saturated synchronous machine is discussed and it is shown that numerous alternative models, with different sets of state-space variables, may be derived. A single saturation factor approach is utilised for main flux saturation representation. Two distinct types of saturated machine models are identified and a procedure is described that enables the formation of 37 different state-space models. A number of models are given in the final developed form. The procedure and the novel models are verified by an extensive simulation study, whose main results are included. Advantages of some of the models over the existing ones and their applicability are discussed.
A DESIGN METHOD FOR INVESTIGATING CAVITATION DELAY

A method is proposed as a means to systematically investigate cavitation delay. The proposed method uses an unstructured RANS solver, with the ability to compute sensitivity derivatives via a Complex Taylor series expansion (CTSE) method. The localized region affecting cavitation inception is parameterized and represented by a minimal amount of control points, using either Non-Uniform Rational BSplines or a Bezier patch/curve. An objective function is formulated to maximize the minimum pressure in the trailing vortex system. This method is used to develop and evaluate conceptual shapes for cavitation alleviation. Sensitivity derivatives are used to assess the dependence of the localized region on the minimum pressure region, and to drive the localized modification to the optimal shape for cavitation delay. Using this method, conceptual shapes of cavitation alleviation are generated and demonstrated on three example applications: (1) a structured simulation/optimization of an open-water propeller, (2) an unstructured simulation/optimization of a ducted propulsor, and (3) an unstructured CFD-based design of the diffuser of a rotary blood pump. In the case of the open-water propeller, the minimum and average pressure on the blade tip is increased by 5% and 22% respectively. In the case of the ducted propulsor, where tip-leakage vortex cavitation was prevalent, it was shown that modifying the duct geometry can, in fact, completely de-couple the vortex interaction, while simultaneously increasing the pressure in the leakage vortex core region. The rotary blood pump is shown to significantly reduce rotational flow while suppressing a ring-vortex formation and shedding in the diffuser. NOMENCLATURE a average radius of vortex core βi design variable ~ Bernstein polynomials F objective function h step size for numerical differentiation i index of design variable n number of design variables P non-dimensional pressure, = pressure/ 1 U 2
Do environmental policy and innovation improve carbon productivity? Evidence from the Korean Emission Trading Scheme

This study investigates the relationship among technology innovation, emission trading schemes, and carbon productivity based on data from firms participating in the Korean Emission Trading Scheme. First, the total factor carbon productivity based on stochastic frontier analysis is estimated by industry and it is confirmed that changes in carbon productivity vary by industry. Based on the estimated carbon productivity, panel data analysis is conducted to determine the effects of innovation and environmental policy on carbon productivity. The results show that R&D investment and environmental policy play an important role in promoting carbon productivity. In this study, the factors affecting carbon productivity are also analyzed by industry. Comparative analysis across industries confirms that factors affecting environmental performance vary by industry. Innovation does not significantly affect carbon productivity in assembling industries, but in the process industry, R&D investment plays an important role in increasing environmental performance.
Quantitative Insight into Rational Tornado Design Wind Speeds for Residential Wood-Frame Structures Using Fragility Approach

AbstractTornadoes are an extremely devastating natural hazard that have significant consequences but are currently not considered in the structural design codes due to their low probability of occurrence. These low-occurrence high-consequence events have been studied but not to the extent of other natural hazards. This paper presents the results of a study whose objective was to provide quantitative insight into a rational design wind speed for tornadoes considering the current state-of-practice in construction methods. Five archetype buildings were selected to be representative of the typical residential structure design space in tornado-prone regions of the United States. Wind analysis was performed using the ASCE standard loading in combination with modification factors for tornadic winds developed from the available literature. Fragilities were developed for the main components along the vertical load path that included roof sheathing and roof-to-wall connection. Then, system fragilities for the combi.
An integrated transition of microstrip to nonradiative dielectric waveguide for microwave and millimeter-wave circuits

Effective interconnects between two or more different waveguides are essential for using hybrid architecture of circuits as well as multipurpose instrumentation and measurements at microwave and millimeter-wave frequencies. In this paper, a new transition of microstrip line to nonradiative dielectric (NRD) guide is reported that makes it possible to design a class of compact NRD waveguide circuits directly integrated with planar-microstrip-based devices and components. A small aperture coupling theory is developed and effectively applied to model the proposed structure. It is found that theoretical results are in good agreement with experiments. The proposed transition promises to be instrumental in integrating planar microstrip devices and components with NRD guide circuits.
A Comparative Study on Model Predictive Control Design for Highway Car-Following Scenarios: Space-Domain and Time-Domain Model

Model predictive control (MPC) has been widely adopted for cooperative adaptive cruise control (CACC) due to its superior performance in achieving fuel-efficient driving while satisfying constraints such as inter-vehicle distance. The core of an MPC-based algorithm is to predict the vehicle’s behavior using a dynamic model, and the space-domain vehicle dynamic model is frequently implemented in recent research along with the time-domain vehicle dynamic model. This paper presents a comparative performance analysis between the space-domain and the time-domain models in the MPC framework for the car-following problem. An MPC design process and analysis method for the high-speed car-following scenario is suggested and presented for equivalent performance comparison between the two approaches. In order to analyze trends between speed tracking and fuel-saving performance, which are conflicting objectives as car-following performance, a bi-objective cost function is proposed and manipulated by various weightings. It is observed that the space-domain model presents stable tracking performance, and the time-domain model shows better fuel efficiency. However, the space-domain model with road information is superior in tracking and fuel efficiency compared to the time-domain model with limited road information. Pareto analysis was implemented to visualize and describe performance differences in various situations regarding tracking error, fuel efficiency, and road grade information levels.
Association analysis of MALAT1 polymorphisms and risk of psoriasis among Iranian patients

MALAT1 is a long non‐coding transcript that affects immune reactions, thus being involved in the pathoaetiology of immune‐related conditions. We investigated the associations between two genetic variants in MALAT1 and susceptibility to psoriasis in the Iranian population. The G allele of rs619586 has been shown to be less common among cases versus controls (odds ratios (OR; 95% confidence intervals (CI)) = 0.57 (0.36–0.9)), adjusted p = . 02). This single nucleotide polymorphism has been associated with the risk of psoriasis in a dominant model (AG + GG vs. AA: OR (95% CI) = 0.56 (0.35–0.92), adjusted p = . 04) as well as log‐additive model (OR (95% CI) = 0.59 (0.38–0.92), adjusted p = . 04). The rs3200401 was not associated with psoriasis in any of the supposed inheritance models. This study potentiates rs619586 as a risk locus for psoriasis in the Iranian population.
Dustiness of Compostable Waste: a Methodological Approach To Quantify the Potential of Waste To Generate Airborne Micro-Organisms and Endotoxin

The objective of the present study was to assess the effect of different waste storage systems on the potential of the waste to emit airborne dust, micro-organisms and endotoxin. Batches of 8.8 kg of compostable waste were mcubated at 20°C for periods of 1-2 weeks in three different storage systems: a system with relatively free access of air (FA) to the waste (paper bags in the kitchen, paper sacks outside the house), a system with low access (LA) of air (plastic bags in the kitchen, a container outside the house), and an intermediate (IA) system (trash can in the kitchen, a container outside the house). The compostable waste was prepared in the laboratory using a standard recipe simulating average kitchen waste in Denmark Weight loss and temperature of the waste were recorded during the storage period. After incubation, the volume of percolate was determined and the dustiness of the waste was measured in terms of the potential of the waste to emit bio-aerosols in a rotating drum. Storage in the FA system resulted in high weight loss of the waste (15-25% per week), a maximum temperature of 45°C and no percolate was observed. The LA system resulted in low weight loss (<3% per week), a temperature at ambient level and a volume of percolate less than 0.1 litre. Waste stored in the IA system was intermediate with a weight loss of 5-8% per week, a maximum temperature of 36°C and a volume of percolate less than 1 litre. Dustiness in terms of dust, endotoxin and micro-organisms was highly correlated to weight loss of the waste. Storage of the waste in the FA system resulted in extremely high concentrations of airborne micro-organisms in the rotating drum compared to that seen after storage in the LA system. The dustiness with respect to airborne Aspergillus fumigatus was at least a factor of 400 000 higher for FA waste compared to LA waste. The present method of testing dustiness of waste is considered important for the design of waste collection equipment and may therefore, over time, contribute to an improved air quality for the workers engaged in waste handling. © 1997 ISWA
An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery

Acquiring tree-stump information is important to support post-harvest site assessment. Unmanned Aerial Vehicles (UAVs) have been widely used as a tool for analyzing selective logging impacts in forest area sites. One of the potential use of UAV imagery data for analyzing the impact of selective logging is by obtaining tree stump information. Feature extraction and segmentation images to extract stumps from a UAV scene of a forested area in Ulu Jelai, Pahang provides a quick, automated method for identifying stumps. This research implemented a technique for detecting, segmenting, classifying, and measuring tree stumps by using the Multiresolution Segmentation Algorithm method. This study assessed the capability of an object-based approach on image detection to segment and merge the stumps after selective logging practice on UAV imagery with a scale of 0.06-meter resolution. The results revealed that the tree-stumps were detected with an accuracy of 70% and stumps classification were detected with 80% accuracy validated with the ground points. The accuracy is acceptable for data acquiring after 6 months of logging activities. The findings of this study are promising and can lead to increase support for a more cost-effective and systematic selective logging in the future. An effective management system can help related authorities and agencies to develop and maintain the selective logging technique towards sustainable forest management.