Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural Consideration For Wind Turbine Blades

This chapter states the methods for a blade breakage self-repair system with an innovative self-healing approach� To prevent blade breakage due to excessive wind speed, the methodology of self-healing technology can possibly be implemented with a self-healing wind turbine blade – a new and innovative concept for wind turbine blade design� The composite blades are manufactured using a laborious, hand lay-up technique with glass fibre reinforcements� The use of fibre-reinforced composite materials has grown rapidly and such composites are often used in aerospace and other applications; however, concerns remain about the structural integrity of composite materials following impact loading, as they are susceptible to cracks or delaminations that form deep within the structure� With the success of the self-healing technology for wind turbine blades, any cracked parts in wind turbine blades can be healed during operation without any system shutting down� Therefore, technology sheds light on the existing wind turbine failure prevention methods and provides new concepts and approaches for new materials of turbine blades suitable for the 21st century wind energy era�
Management and climate contributions to satellite-derived active fire trends in the contiguous United States

Fires in croplands, plantations, and rangelands contribute significantly to fire emissions in the United States, yet are often overshadowed by wildland fires in efforts to develop inventories or estimate responses to climate change. Here we quantified decadal trends, interannual variability, and seasonality of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) observations of active fires (thermal anomalies) as a function of management type in the contiguous U.S. during 2001–2010. We used the Monitoring Trends in Burn Severity database to identify active fires within the perimeter of large wildland fires and land cover maps to identify active fires in croplands. A third class of fires defined as prescribed/other included all residual satellite active fire detections. Large wildland fires were the most variable of all three fire types and had no significant annual trend in the contiguous U.S. during 2001–2010. Active fires in croplands, in contrast, increased at a rate of 3.4% per year. Cropland and prescribed/other fire types combined were responsible for 77% of the total active fire detections within the U.S and were most abundant in the south and southeast. In the west, cropland active fires decreased at a rate of 5.9% per year, likely in response to intensive air quality policies. Potential evaporation was a dominant regulator of the interannual variability of large wildland fires, but had a weaker influence on the other two fire types. Our analysis suggests it may be possible to modify landscape fire emissions within the U.S. by influencing the way fires are used in managed ecosystems.
Density-functional theory guided advances in phase-change materials and memories

Phase-change materials (PCMs) are promising candidates for novel data-storage and memory applications. They encode digital information by exploiting the optical and electronic contrast between amorphous and crystalline states. Rapid and reversible switching between the two states can be induced by voltage or laser pulses. Here, we review how density-functional theory (DFT) is advancing our understanding of PCMs. We describe key DFT insights into structural, electronic, and bonding properties of PCMs and into technologically relevant processes such as fast crystallization and relaxation of the amorphous state. We also comment on the leading role played by predictive DFT simulations in new potential applications of PCMs, including topological properties, switching between different topological states, and magnetic properties of doped PCMs. Such DFT-based approaches are also projected to be powerful in guiding advances in other materials-science fields.
AMP-activated Protein Kinase α2 Subunit Is Required for the Preservation of Hepatic Insulin Sensitivity by n-3 Polyunsaturated Fatty Acids

OBJECTIVE The induction of obesity, dyslipidemia, and insulin resistance by high-fat diet in rodents can be prevented by n-3 long-chain polyunsaturated fatty acids (LC-PUFAs). We tested a hypothesis whether AMP-activated protein kinase (AMPK) has a role in the beneficial effects of n-3 LC-PUFAs. RESEARCH DESIGN AND METHODS Mice with a whole-body deletion of the α2 catalytic subunit of AMPK (AMPKα2−/−) and their wild-type littermates were fed on either a low-fat chow, or a corn oil-based high-fat diet (cHF), or a cHF diet with 15% lipids replaced by n-3 LC-PUFA concentrate (cHF+F). RESULTS Feeding a cHF diet induced obesity, dyslipidemia, hepatic steatosis, and whole-body insulin resistance in mice of both genotypes. Although cHF+F feeding increased hepatic AMPKα2 activity, the body weight gain, dyslipidemia, and the accumulation of hepatic triglycerides were prevented by the cHF+F diet to a similar degree in both AMPKα2−/− and wild-type mice in ad libitum-fed state. However, preservation of hepatic insulin sensitivity by n-3 LC-PUFAs required functional AMPKα2 and correlated with the induction of adiponectin and reduction in liver diacylglycerol content. Under hyperinsulinemic-euglycemic conditions, AMPKα2 was essential for preserving low levels of both hepatic and plasma triglycerides, as well as plasma free fatty acids, in response to the n-3 LC-PUFA treatment. CONCLUSIONS Our results show that n-3 LC-PUFAs prevent hepatic insulin resistance in an AMPKα2-dependent manner and support the role of adiponectin and hepatic diacylglycerols in the regulation of insulin sensitivity. AMPKα2 is also essential for hypolipidemic and antisteatotic effects of n-3 LC-PUFA under insulin-stimulated conditions.
Tissue Carbon Incorporation Rates and Diet-to-Tissue Discrimination in Ectotherms: Tortoises Are Really Slow

Understanding carbon incorporation rates and diet-to-tissue discrimination (Δ13Ctissue-diet) in animals is necessary to interpret stable isotope data collected from animals in the field. Our current understanding of the carbon dynamics in terrestrial ectotherms such as snakes, lizards, and turtles is poorly developed. Here we use a diet switch experiment to estimate carbon incorporation rates and diet-to-tissue discrimination factors in growing desert tortoises (Gopherus agassizii). Average carbon retention times for red blood cells (RBCs) and plasma were and days, respectively. Tissue carbon incorporation rates were affected by both growth and metabolism, with growth accounting for 50% of the carbon turnover in RBCs and 13% of carbon turnover in plasma. At equilibrium, scute keratin () and plasma () showed enriched discrimination values (Δ13C) compared to the test diet, but RBC Δ13C values were indistinguishable from diet (). We also found that new keratin continued to contribute significant material to previously grown keratin rings on the tortoise’s shell. Changes in the δ13C of previously laid down growth rings indicated that the old rings closest to the region of new growth received about 73% of the carbon from the current diet; these data suggest that the interpretation of dietary history using growth rings must recognize that each ring may represent the weighted average of the diet over several seasons. These results continue to highlight the importance of laboratory experiments in interpreting isotopic data derived from field studies.
Th e Benefi ts of HYDRATED LIME IN HOT MIX ASPHALT

This report discusses the benefits of using hydrated lime in hot mix asphalt paving mixtures. Some of these benefits include: control of water sensitivity, use as an antistrip agent to inhibit water damage, stiffens asphalt binders when used as a mineral filler, improves resistance to crack propagation, decreases damage from oxidation, improves moisture durability and stability by changing the properties of clay fines.
On Finding and Using Identifiable Parameter Combinations in Nonlinear Dynamic Systems Biology Models and COMBOS: A Novel Web Implementation

Parameter identifiability problems can plague biomodelers when they reach the quantification stage of development, even for relatively simple models. Structural identifiability (SI) is the primary question, usually understood as knowing which of P unknown biomodel parameters p 1,…, pi,…, pP are-and which are not-quantifiable in principle from particular input-output (I-O) biodata. It is not widely appreciated that the same database also can provide quantitative information about the structurally unidentifiable (not quantifiable) subset, in the form of explicit algebraic relationships among unidentifiable pi. Importantly, this is a first step toward finding what else is needed to quantify particular unidentifiable parameters of interest from new I–O experiments. We further develop, implement and exemplify novel algorithms that address and solve the SI problem for a practical class of ordinary differential equation (ODE) systems biology models, as a user-friendly and universally-accessible web application (app)–COMBOS. Users provide the structural ODE and output measurement models in one of two standard forms to a remote server via their web browser. COMBOS provides a list of uniquely and non-uniquely SI model parameters, and–importantly-the combinations of parameters not individually SI. If non-uniquely SI, it also provides the maximum number of different solutions, with important practical implications. The behind-the-scenes symbolic differential algebra algorithms are based on computing Gröbner bases of model attributes established after some algebraic transformations, using the computer-algebra system Maxima. COMBOS was developed for facile instructional and research use as well as modeling. We use it in the classroom to illustrate SI analysis; and have simplified complex models of tumor suppressor p53 and hormone regulation, based on explicit computation of parameter combinations. It’s illustrated and validated here for models of moderate complexity, with and without initial conditions. Built-in examples include unidentifiable 2 to 4-compartment and HIV dynamics models.
Using graded relevance assessments in IR evaluation

This article proposes evaluation methods based on the use of nondichotomous relevance judgements in IR experiments. It is argued that evaluation methods should credit IR methods for their ability to retrieve highly relevant documents. This is desirable from the user point of view in modern large IR environments. The proposed methods are (1) a novel application of P-R curves and average precision computations based on separate recall bases for documents of different degrees of relevance, and (2) generalized recall and precision based directly on multiple grade relevance assessments (i.e., not dichotomizing the assessments). We demonstrate the use of the traditional and the novel evaluation measures in a case study on the effectiveness of query types, based on combinations of query structures and expansion, in retrieving documents of various degrees of relevance. The test was run with a best match retrieval system (InQuery1) in a text database consisting of newspaper articles. To gain insight into the retrieval process, one should use both graded relevance assessments and effectiveness measures that enable one to observe the differences, if any, between retrieval methods in retrieving documents of different levels of relevance. In modern times of information overload, one should pay attention, in particular, to the capability of retrieval methods retrieving highly relevant documents.
Fabrication of NiTi alloy: A review

Nitinol (NiTi) is categorized as a smart material which is highly recognized material for medical and other engineering applications. The behaviour of NiTi can be modified by altering the composition, modifying the porosity and applying external thermal and mechanical treatment. Due to high composition sensitivity, there are several impediments in fabrication of NiTi with conventional techniques which impel the use of additive manufacturing methods. But due to very high cost of equipments, these processes have not been commercialized till now. This paper presents a review on applications, manufacturing NiTi alloy and its various production routes from conventional to rapid prototyping, porous NiTi, effect of additives on properties of the alloy and its challenges.
BETWEEN THE DEVIL AND THE DEEP BLUE SEA

Mature Pictures Featuring 33 Year Old Veronica Devil From Between the devil and the deep blue sea Idioms by The Between WikipediaBeat the Devil review – righteous rage of David Hare's Devil's Bait (1959) IMDbDevil's Breath: Urban Legend or the World's Most Scary Drug? The House of the Devil (2009) IMDbSimple Difference Between Analogy, Metaphor, and SimileDEVIL | meaning in the Cambridge English DictionaryBetween a rock and a hard place Idioms by The Free Pothos: Plant Care & Growing Guide The SpruceGeorge Harrison Between The Devil & The Deep Blue Sea Michigan HISTORYMunich Agreement | Definition, Summary, & Significance Most witches are women, because witch hunts were all about Havana and Port Royal: Between the Devil & the Deep is a Meal Plans | Sun Devil DiningBetween the Devil and the Deep Blue Sea (song) WikipediaThe Surprising Difference Between Chocolate Cake and Devil Mercantilism Land of the BraveMachine Gun Kelly – RAP DEVIL Lyrics | Genius LyricsBetween the devil and the deep blue ___ Crossword Clue blue_1 adjective Definition, pictures, pronunciation and What Does Between the Devil and the Deep Blue Sea Mean DEVIL'S ADVOCATE | meaning in the Cambridge English DictionaryImmortal Technique – Dance with the Devil Lyrics | Genius Newsmax Reporter Pulled Off Air After Claiming COVID Genesis 3:15 And I will put enmity between you and the 309 Synonyms & Antonyms of DEVIL MerriamWebsterBlack Clover: 10 Strongest Villains In The Anime | CBRBetween the Devil & the Deep GUMSHOE RPG by Sons of the The Between the Devil & the Deep GUMSHOE RPG Kickstarter Devil's Lake State Recreation Area Oregon State ParksPowerColor Red Devil Ultimate Radeon RX 6900 XT Review Devil Definition & Meaning Merriam-Webster
Ovicidal Efficacy of Abametapir Against Eggs of Human Head and Body Lice (Anoplura: Pediculidae)

Abstract Studies were undertaken to determine the ovicidal efficacy of 5,5′-dimethyl-2,2′ -bipyridyl (abametapir) against eggs of both human head and body lice. Head lice eggs of different ages (0–2, 3–5, and 6–8-d-old eggs) were exposed to varying concentrations of abametapir in isopropanol and concentration-dependent response relationships established based on egg hatch. One hundred percent of all abametapir-treated eggs failed to hatch at the 0.74 and 0.55% concentrations, whereas 100% of 6–8-d-old head louse eggs failed to hatch only at the 0.74% concentration. The LC50 value for abametapir varied, depending on the age of the head lice eggs, from ∼0.10% recorded for 0–2-d-old eggs and increasing to ∼0.15% for 6–8-d-old eggs. Abametapir was also evaluated once formulated into a lotion referred to as Xeglyze (0.74% abametapir) and serial dilutions made. Ovicidal efficacies were determined against head lice eggs 0–8-d-old. Results indicated 100% ovicidal activity at the 0.74, 0.55, 0.37, and 0.18% concentrations. Additional studies undertaken using body lice eggs also demonstrated that abametapir was 100% ovicidal against eggs of all ages when evaluated at a concentration of 0.37 and 0.55%. Given that ovicidal activity is a critical component of any effective treatment regime for louse control, the data presented in this study clearly demonstrate the ability of abametapir to inhibit hatching of both head and body louse eggs as assessed in vitro.
Evaluation of efficacies and recurrence rates of three self-treatment maneuvers for posterior semicircular canal benign paroxysmal positional vertigo

This study aims to compare the efficacies and recurrence rates following three self-treatment maneuvers, namely, the modified Epley maneuver (MEM), the modified Semont maneuver (MSM), and Brandt-Daroff maneuver (BDM), applied for posterior semicircular canal benign paroxysmal positional vertigo (PC-BPPV). One hundred sixtyeight patients were randomly divided into three groups treated with MEM (group 1:45 patients), MSM (group 2:43 patients), BDM (group 3:40 patients) respectively, and a fourth control (group 4:40 patients). Treatment efficacies for the four groups when treated for one week and for one month, as well as the recurrence rates after six months and the time needed for healing, were compared. The recovery rate of group 1 after one week (86.7%) was better than the rates of groups 2, 3, and 4 (53.5%, 35%, 15%, respectively) (χ2=49.092, P=0.000), and the recovery rate of group 1 (95.6%) after a month was only better than group 3, but not the other groups (70%) (χ2=8.42, P<0.05). Kaplan-Meier survival curves showed that recovery time for group 1 was shorter than those for the other three groups (χ1,2=10.850, P=0.001; χ 2 1,3=25.779, P=0.000; χ 2 1,4=35.085, P=0.000). There was no significant difference in the recurrence rates among the four groups after six months (χ2=4.076, P=0.253). Logistic regression analysis showed that age and duration of disease before self-treatment were independent predictors of recurrence. MEM was more effective than MSM and BDM for patients with recurrence, but it could not reduce the recurrence rate.
Oxidized Silicon Nanoparticles and Iron Oxide Nanoparticles for Radiation Therapy

Oxidized Silicon Nanoparticles and Iron Oxide Nanoparticles for Radiation Therapy Our research objective is to develop superparamagnetic iron oxide nanoparticles and silicon nanoparticles as radiosensitizers for cancer therapy. After internalization by breast tumor cells and irradiation with X-rays, the nanoparticles were observed to enhance the oxidative stress in tumor cells. While silicon nanoparticles increase the reactive oxygen species production under X-ray treatment due to their incompletely oxidized surface, positively charged amino-functionalized silicon nanoparticles enhance the formation of mitochondrial reactive oxygen species formation because of their direct interaction with the mitochondrial membrane. On the other hand, uncoated and citrate-coated superparamagnetic iron oxide nanoparticles were found to increase the reactive oxygen species formation in X-ray treated tumor cells via two particular surface features, being, first, the leakage of iron ions and second, the catalytic activity of nanoparticle surfaces. Both may initiate the Haber-Weiss and Fenton reaction.
AMECON: Abstract Meta-Concept Features for Text-Illustration

Cross-media retrieval is a problem of high interest that is at the frontier between computer vision and natural language processing. The state-of-the-art in the domain consists of learning a common space with regard to some constraints of correlation or similarity from two textual and visual modalities that are processed in parallel and possibly jointly. This paper proposes a different approach that considers the cross-modal problem as a supervised mapping of visual modalities to textual ones. Each modality is thus seen as a particular projection of an abstract meta-concept, each of its dimension subsuming several semantic concepts (``meta'' aspect) but may not correspond to an actual one (``abstract'' aspect). In practice, the textual modality is used to generate a multi-label representation, further used to map the visual modality through a simple shallow neural network. While being quite easy to implement, the experiments show that our approach significantly outperforms the state-of-the-art on Flickr-8K and Flickr-30K datasets for the text-illustration task. The source code is available at http://perso.ecp. fr/~tamaazouy/.
Altered Resting-State Amygdala Functional Connectivity after 36 Hours of Total Sleep Deprivation

Objectives Recent neuroimaging studies have identified a potentially critical role of the amygdala in disrupted emotion neurocircuitry in individuals after total sleep deprivation (TSD). However, connectivity between the amygdala and cerebral cortex due to TSD remains to be elucidated. In this study, we used resting-state functional MRI (fMRI) to investigate the functional connectivity changes of the basolateral amygdala (BLA) and centromedial amygdala (CMA) in the brain after 36 h of TSD. Materials and Methods Fourteen healthy adult men aged 25.9±2.3 years (range, 18–28 years) were enrolled in a within-subject crossover study. Using the BLA and CMA as separate seed regions, we examined resting-state functional connectivity with fMRI during rested wakefulness (RW) and after 36 h of TSD. Results TSD resulted in a significant decrease in the functional connectivity between the BLA and several executive control regions (left dorsolateral prefrontal cortex [DLPFC], right dorsal anterior cingulate cortex [ACC], right inferior frontal gyrus [IFG]). Increased functional connectivity was found between the BLA and areas including the left posterior cingulate cortex/precuneus (PCC/PrCu) and right parahippocampal gyrus. With regard to CMA, increased functional connectivity was observed with the rostral anterior cingulate cortex (rACC) and right precentral gyrus. Conclusion These findings demonstrate that disturbance in amygdala related circuits may contribute to TSD psychophysiology and suggest that functional connectivity studies of the amygdala during the resting state may be used to discern aberrant patterns of coupling within these circuits after TSD.
Effect of agro-industry by-product on soil fertility, tree performances and fruit quality in pear ( Pyrus communis L.)

Organic materials from agro-industry processes can be used in agriculture as a way to recycle materials that still maintain a high fertilizing value. The aim of the experiment was to evaluate the value of soil applied apple juice by-product as fertilizer for pear trees. A 3-year experiment was carried out in a mature pear orchard (cv Abbe Fetel grafted onto quince MC) in the Po valley (Italy), where the following treatments were compared: 1) unfertilized control; 2) mineral N fertilization (60 kg N ha −1 year −1 split in two spring applications); 3) apple juice by-product (1.3 t ha −1 year −1 , equal to 60 kg N ha −1 ), fully supplied at petal drop; 4) apple juice by-product, at twice the rate of the previous treatment. Apple juice by-product soil decomposition accounted for 12% in the first 6 months. At the end of the 24-month-assay, the decomposition accounted for 24% on total dry weight that makes 28% of initial C and 36% of initial N. Soil nitrate-N concentration was increased by the mineral N fertilizer, while the application of apple juice by-product increased microbial carbon. Tree growth, yield and fruit quality were not affected by treatments, while mineral N fertilization raised leaf and fruit N concentration. In conclusion, in our conditions the use of apple juice by-product did not show negative effects on tree performances and fruit quality, with some advantages related to the recycling of organic wastes in agriculture.
Validation of a low-cost virtual reality system for training street-crossing. A comparative study in healthy, neglected and non-neglected stroke individuals

Unilateral spatial neglect is a common consequence of stroke that directly affects the performance of activities of daily living. This impairment is traditionally assessed with paper-and-pencil tests that can lack correspondence to real life and are easily compensated. Virtual reality can immerse patients in more ecological scenarios, thus providing therapists with new tools to assess and train the effects of this impairment in simulated real tasks. This paper presents the clinical validation and convergent validity of a low-cost virtual reality system for training street-crossing in stroke patients with and without neglect. The performance of neglect patients was significantly worse than the performance of non-neglect and healthy participants. In addition, several correlations between the scores in the system and in the traditional scales were detected.