Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Investigations of Mechanical properties on Micro silica (Silica Fume) and Fly Ash as Partial Cement Replacement of High Performance Concrete

The Now a day, we need to look at a way to reduce the cost of building materials, particularly cement is currently so high that only rich people and governments can afford meaningful construction. Studies have been carried out to investigate the possibility of utilizing a broad range of materials as partial replacement materials for cement in the production of concrete. This study investigated the strength properties of Silica fume and fly ash concrete. This work primarily deals with the strength characteristics such as compressive, Split tensile and flexural strength. High performance concrete a set of 7 different concrete mixture were cast and tested with different cement replacement levels (0%, 2.5%, 5%, 7.5%, 10% 12.5% and15%) of Fly ash (FA) with silica fume (SF) as addition ( 0%,5%,10 % ,15% ,25and 30%) by wt of Cement and/or each trial super plasticizer has been added at constant values to achieve a constant range of slump for desired work ability with a constant water-binder (w/b) ratio of 0.30. Specimens were produced and cured in a curing tank for 3, 7, 14 and 28 days. The cubes were subjected to compressive strength tests after density determination at 3,7,14 and 28 days respectively. The chemical composition and physical composition of micro silica, FlyAsh and cement were determined. The density of the concrete decreased with increased in percentage of micro silica and Fly ash replacement up to 15%. Increase in the level of micro silica fume and Fly ash replacement between 30% to 45% led to a reduction in the compressive strength of hardened concrete. This study has shown that between 15 to 22.5% replacement levels, concrete will develop strength sufficient for construction purposes. Its use will lead to a reduction in cement quantity required for construction purposes and hence sustainability in the construction industry as well as aid economic construction.
Finding Approximate POMDP solutions Through Belief Compression

Recent research in the field of robotics has demonstrated the utility of probabilistic models for perception and state tracking on deployed robot systems. For example, Kalman filters and Markov localisation have been used successfully in many robot applications (Leonard & Durrant-Whyte, 1991; Thrun et al., 2000). There has also been considerable research into control and decision making algorithms that are robust in the face of specific kinds of uncertainty (Bagnell & Schneider, 2001). Few control algorithms, however, make use of full probabilistic representations throughout planning. As a consequence, robot control can become increasingly brittle as the system's perceptual uncertainty, and state uncertainty, increase. This thesis addresses the problem of decision making under uncertainty. In particular, we use a planning model called the partially observable Markov decision process, or POMDP (Sondik, 1971). The POMDP model computes a policy that maximises the expected future reward based on the complete probabilistic state estimate, or belief. Unfortunately, finding an optimal policy exactly is computationally demanding and thus infeasible for most problems that represent real world scenarios. This thesis describes a scalable approach to POMDP planning which uses low-dimensional representations of the belief space. We demonstrate how to make use of a variant of Principal Components Analysis (PCA) called Exponential family PCA (Collins et al., 2002) in order to compress certain kinds of large real-world POMDPs, and find policies for these problems. By finding low-dimensional representations of POMDPS, we are able to find good policies for problems that are orders of magnitude larger than those solvable by conventional approaches.
Creep testing of adhesive joints T-peel test.

The T-(or 180°) peel test is the most widely used method by industry for determining the relative peel resistance of adhesive bonds between flexible adherends. This test geometry has been adopted by most standards bodies and is widely used by industry to evaluate environmental durability of adhesively bonded systems. The simplicity and low costs associated with specimen manufacture, testing and data analysis has contributed to the widespread use of this method for assessing environmental and creep resistance. A series of tests have been conducted on bonded T-peel joints exposed simultaneously to heat, humidity and load. This report evaluates the test method for producing in-situ peel strength data on adhesively bonded joints. The test method is evaluated in terms of fitness for purpose in assessing environmental performance and provides a guide to specimen geometry, manufacture and testing. The report also includes an experimental evaluation of a self-stress (spring) loading fixture used for creep testing in hot/humid environments. A number of tools have been employed in data interpretation. These include finite element analysis, statistical techniques, analytical modelling, fractographic analysis, dynamic mechanical thermal analysis and mechanical testing.
Evaluation of different drug classes on transient sciatic nerve injury–depressed marble burying in mice

Abstract A great need exists for the identification of new effective analgesics to treat sustained pain. However, most preclinical nociceptive assays measure behavioral responses evoked by noxious stimuli (ie, pain-stimulated behavior), which presents a challenge to distinguish between motor impairing and antinociceptive effects of drugs. Here, we demonstrate that chronic constriction injury (CCI) of the sciatic nerve elicits common pain-stimulated responses (ie, mechanical allodynia and thermal hyperalgesia) as well as reduces marble burying/digging behaviors that occur during the early stages of the neuropathy and resolve within 1 week. Although drugs representing distinct classes of analgesics (ie, morphine, valdecoxib, and gabapentin) reversed both CCI-induced and CCI-depressed nociceptive measures, diazepam lacked antinociceptive effects in all assays and the kappa-opioid receptor agonist U69593 reversed pain-stimulated, but not pain-depressed behaviors. In addition, we tested drugs targeting distinct components of the endocannabinoid system, including agonists at cannabinoid receptors type 1 (CB1) and type 2 (CB2), as well as inhibitors of the endocannabinoid-regulating enzymes fatty acid amide hydrolase and monoacylglycerol lipase. Each of these drugs reversed all CCI-induced nociceptive measures, with the exception of the fatty acid amide hydrolase inhibitor that reversed pain-stimulated behaviors, only. These findings support the use of the mouse marble-burying assay as a model of pain-depressed behavior within the first week of sciatic nerve injury to examine candidate analgesics. These data also support existing preclinical research that cannabinoid receptor agonists and inhibitors of endocannabinoid-regulating enzymes merit consideration for the treatment of pain.
Processing emotional body expressions: state-of-the-art

ABSTRACT Processing emotional body expressions has become recently an important topic in affective and social neuroscience along with the investigation of facial expressions. The objective of the study is to review the literature on emotional body expressions in order to discuss the current state of knowledge on this topic and identify directions for future research. The following electronic databases were searched: PsychINFO, Ebsco, ERIC, ProQuest, Sagepub, and SCOPUS using terms such as “body,” “bodily expression,” “body perception,” “emotions,” “posture,” “body recognition” and combinations of them. The synthesis revealed several research questions that were addressed in neuroimaging, electrophysiological and behavioral studies. Among them, one important question targeted the neural mechanisms of emotional processing of body expressions to specific subsections regarding the time course for the integration of emotional signals from face and body, as well as the role of context in the perception of emotional signals. Processing bodily expression of emotion is similar to processing facial expressions, and the holistic processing is extended to the whole person. The current state-of-the-art in processing emotional body expressions may lead to a better understanding of the underlying neural mechanisms of social behavior. At the end of the review, suggestions for future research directions are presented.
Oral Health, Nutritional Choices, and Dental Fear and Anxiety

Oral health is an integral part of overall health. Poor oral health can lead to an increased risk of chronic diseases including diabetes mellitus, cardiovascular disease, and some types of cancer. The etiology of these diseases could be linked to the individual’s inability to eat a healthy diet when their dentition is compromised. While periodontal or implant surgery may be necessary to reconstruct tissue around natural teeth or replace missing teeth, respectively, some individuals avoid such interventions because of their associated fear and anxiety. Thus, while the relationship between poor oral health, compromised nutritional choices and fear and anxiety regarding periodontal procedures is not entirely new, this review provides an up-to-date summary of literature addressing aspects of this complex relationship. This review also identifies potential strategies for clinicians to help their patients overcome their fear and anxiety associated with dental treatment, and allow them to seek the care they need.
Body satisfaction, nutritional adherence, and quality of life in youth with cystic fibrosis

Children with cystic fibrosis (CF) typically have similar nutritional intake as healthy peers, despite recommendations to consume more calories and fat. Body satisfaction may play a role in nutritional intake: females may be content with their smaller size despite recommendations for weight gain, while males may desire to be larger and more muscular, which is more congruent with medical advice. Females are especially at risk, given their propensity to desire a smaller body size, tendency for lower HRQOL, steeper trajectory of health decline and shorter life expectancy than males. This study evaluated body satisfaction in relation to nutritional adherence and HRQOL in youth with CF. Fifty‐four individuals with CF (age 9–17) completed the Cystic Fibrosis Questionnaire‐Revised (CFQ‐R), the Figure Rating Scale, and a 24‐hr diet recall interview with their caregiver. Twenty‐four percent of youth were non‐adherent with caloric goals, and 40.7% did not obtain the minimum recommendation for fat intake. Youth were classified as inconsistent with treatment goals (TI) if they desired a smaller body size or were content with their current size despite a BMI less than the 50th percentile; 44.8% of females were classified as TI, compared to only 8% of males. Statistical analyses were performed to evaluate the impact of gender and body satisfaction on HRQOL in youth with CF. Linear multiple regression models were fit; TI females had Emotional HRQOL scores 23 points lower than males. Results suggest that improving body satisfaction, especially for females, may help to improve overall quality of life and potentially impact nutritional adherence. Pediatr. Pulmonol. 2011; 46:1085–1092. © 2011 Wiley Periodicals, Inc.
"Blissfully Happy" or "Ready toFight": Varying Interpretations of Emoji

Emoji are commonly used in modern text communication. However, as graphics with nuanced details, emoji may be open to interpretation. Emoji also render differently on different viewing platforms (e.g., Apple’s iPhone vs. Google’s Nexus phone), potentially leading to communication errors. We explore whether emoji renderings or differences across platforms give rise to diverse interpretations of emoji. Through an online survey, we solicit people’s interpretations of a sample of the most popular emoji characters, each rendered for multiple platforms. Both in terms of sentiment and semantics, we analyze the variance in interpretation of the emoji, quantifying which emoji are most (and least) likely to be misinterpreted. In cases in which participants rated the same emoji rendering, they disagreed on whether the sentiment was positive, neutral, or negative 25% of the time. When considering renderings across platforms, these disagreements only increase. Overall, we find significant potential for miscommunication, both for individual emoji renderings and for different emoji renderings across platforms.
Epigenetic inactivation of the p53-induced long noncoding RNA TP53 target 1 in human cancer

Significance Long noncoding RNAs (lncRNAs) are starting to be recognized as critical molecules for cellular transformation, although only a few candidates have so far been characterized. Here we report that TP53TG1 is an lncRNA that is critical for the correct response of p53 to DNA damage. The cancer growth suppressor features of TP53TG1 are linked to its ability to block the tumorigenic activity of the RNA binding protein YBX1. The DNA methylation-associated silencing of TP53TG1 produces aggressive tumors that are resistant to cellular death when DNA-damaging agents and small targeted molecules are used. Our study provides an example of a tumor suppressor lncRNA undergoing an epigenetic lesion in cancer that is placed at the crossroads of DNA damage and oncogenic pathways. Long noncoding RNAs (lncRNAs) are important regulators of cellular homeostasis. However, their contribution to the cancer phenotype still needs to be established. Herein, we have identified a p53-induced lncRNA, TP53TG1, that undergoes cancer-specific promoter hypermethylation-associated silencing. In vitro and in vivo assays identify a tumor-suppressor activity for TP53TG1 and a role in the p53 response to DNA damage. Importantly, we show that TP53TG1 binds to the multifaceted DNA/RNA binding protein YBX1 to prevent its nuclear localization and thus the YBX1-mediated activation of oncogenes. TP53TG1 epigenetic inactivation in cancer cells releases the transcriptional repression of YBX1-targeted growth-promoting genes and creates a chemoresistant tumor. TP53TG1 hypermethylation in primary tumors is shown to be associated with poor outcome. The epigenetic loss of TP53TG1 therefore represents an altered event in an lncRNA that is linked to classical tumoral pathways, such as p53 signaling, but is also connected to regulatory networks of the cancer cell.
A Comparative Study of Software Model Checkers as Unit Testing Tools: An Industrial Case Study

Conventional testing methods often fail to detect hidden flaws in complex embedded software such as device drivers or file systems. This deficiency incurs significant development and support/maintenance cost for the manufacturers. Model checking techniques have been proposed to compensate for the weaknesses of conventional testing methods through exhaustive analyses. Whereas conventional model checkers require manual effort to create an abstract target model, modern software model checkers remove this overhead by directly analyzing a target C program, and can be utilized as unit testing tools. However, since software model checkers are not fully mature yet, they have limitations according to the underlying technologies and tool implementations, potentially critical issues when applied in industrial projects. This paper reports our experience in applying Blast and CBMC to testing the components of a storage platform software for flash memory. Through this project, we analyzed the strong and weak points of two different software model checking technologies in the viewpoint of real-world industrial application-counterexample-guided abstraction refinement with predicate abstraction and SAT-based bounded analysis.
Statistical analysis of fire frequency models for Catalonia (NE Spain), 1975–1998) based on fire scar maps from Landsat MSS data

This paper estimates fire frequency in Catalonia (NE Spain) for the last quarter of the 20th Century (1975–1998) from historical burned area maps. Remote sensing images provided perimeters of fires ≥ 30 ha, which were used to characterize the temporal patterns of fire occurrence in Catalonia. Several fire frequency models were used to reproduce the observed pattern of wildfires occurrence in the study period. Natural fire rotation period was estimated to be 133 years. Poisson tests were carried out to check random fire occurrence either along the time period or across the analysed region. Observed fires were not randomly generated either in space or in time, despite being sampled using two different plot sizes. This sampling design was also used for Mean Fire Interval (MFI) analysis, which allowed us to significantly fit a Weibull distribution to the observed proportion of fire intervals (for both sample sizes), enabling us to estimate the hazard of burning, mortality, and survivorship functions. Finally, MFI was also applied to forest regions of Catalonia, which are defined according to forest management plans based on their homogeneous climatic conditions. Such an analysis revealed relevant differences in forest management and their consequences on fire occurrence.
The Role of Crevicular Fluid Iron in Periodontal Disease.

This article presents a brief review of literature on the role of iron in infection and reports the concentration of iron in crevicular fluid (CF) in humans and beagle dogs. Crevicular fluid from human subjects was collected from gingivitis and periodontitis sites. The CF from beagle dogs was collected from gingivitis and active periodontitis (ligature-induced) sites. The results showed that the concentration of iron in human CF was often higher than in human serum. Also, a comparison between CF collected from gingivitis sites and periodontitis sites revealed a significantly higher concentration of iron in CF collected from the periodontitis sites. The studies in ligature-induced periodontitis in beagle dogs revealed at least a 3-fold increase in iron concentration in CF following ligation compared to the preligation values. Based on the available literature it is suggested that high concentration of iron in CF is not due to serum transferrin or polymorphonuclear leukocyte lactoferrin. Also, this high concentration of iron in CF might play an important role in enhancement of growth and virulence of microorganisms of the subgingival plaque and the initiation of active periodontitis.
Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment

On-line monitoring and diagnosis of transformers have been investigated and discussed significantly in the last few decades. Vibration method is considered as one of the non-destructive and economical methods to explore transformer operating condition and evaluate transformer mechanical integrity and performance. However, transformer vibration and its evaluation criteria in transformer faulty condition are quite challenging and are not yet agreed upon. At the same time, with the advent of IoT facilities and services, it is expected that classical diagnosis techniques will be replaced with more powerful data-driven prognosis methods that can be used efficiently and effectively in smart monitoring. In this paper, we first discuss in detail an analytical approach to the transformer vibration modeling. Nevertheless, precise interpretation of transformer vibration signal through analytical models becomes unrealistic as higher harmonics are mixed with fundamental harmonics in vibration spectra. Therefore, as the next step, we aim to support the Industry 4.0 concept by utilizing the state-of-the-art machine learning and signal processing techniques to develop prognosis models of transformer operating condition based on vibration signals. Transformer turn-to-turn insulation deterioration and short circuit analysis as one the most important concerns in transformer operation is practically emulated and examined. Along with transformer short-circuit study, transformer over and under excitations are also studied and evaluated. Our constructed predictive models are able to detect transformer short-circuit fault in early stages using vibration signals before transformer catastrophic failure. Real-time information is transferred to the cloud system and results become accessible over any portable device.
Alarming events detection based on audio signals recognition

Many zones, especially wild areas need surveillance systems in order to protect them against potential destroying actions. An attractive solution for automatic surveillance systems consists in audio based systems, which present some advantages compared with video or mixt surveillance systems. This paper proposes an alarming events detection system with two detection levels. On the first level the system detects only if the event is a dangerous one (alarm on) or a normal one (alarm off). On the second level, if it is the case, the system identifies exactly the nature of events in four classes: chainsaw, gunshot, human voice or tractors. The system uses a set of features of the audio signals associated with the events, as input data for two artificial neural networks that act as pattern recognition components. The experimental results prove that our system is a very reliable one, presenting the maximum possible correct recognition rate (100%) on the first level and very high correct recognition rates on the second level: 99.50% across all data set (training, validation and testing) and 95.0% in the independent testing data subset.
Do Marine Turtles Use Odors to Locate Foraging Hotspots in the Open Ocean?

Abstract Marine turtles in the open ocean often forage in areas of enhanced productivity, but how they locate those sites and what they do once there is poorly understood. One possibility is that odors from prey might be informative. We explored those possibilities in laboratory experiments using juvenile marine turtles. We analyzed responses to an airborne by-product of predation (dimethyl sulfide or DMS) and to airborne and waterborne odors made from extracts of fresh prey (squid, jellyfish, penaeid shrimp, and algae [Sargassum spp.]). Observations were made in a seawater-filled arena containing an enclosed air space. Airborne odors were delivered across the water surface and waterborne odors were introduced as extracts into the water. Tethered loggerheads (Caretta caretta) and leatherbacks (Dermochelys coriacea) failed to swim “upwind” in the presence of any airborne odor, suggesting that these stimuli, alone, do not evoke orientation from a distance. Free-swimming loggerheads and green turtles (Chelonia mydas), presented with either an airborne or waterborne squid odor, directed bites at the tank walls, at one another, and (most frequently) at a stationary visual stimulus (a small plastic sphere) anchored under water. DMS did not evoke a comparable response. We conclude that close to productive hot spots, both air- and waterborne prey odors elicit a similar visual search for underwater prey targets. A review of the literature suggests that at a distance, juvenile turtles might use magnetic maps to locate areas that include sites of greater oceanic productivity.