Miracle-dz/UniFAR-FTUs huggingface dataset:
THERMOECONOMIC ANALYSIS OF T56 TURBOPROP ENGINE UNDER DIFFERENT LOAD CONDITIONS

Bu calismada, T56 turboprop motor %75, %100, askeri (MIL) ve kalkis (Take-off) yuk kosullari icin teorik olarak modellenmistir. Her bir yuk kosulunda, saft isinin ve itme kuvvetinin birim maliyetlerinin ayriklastirilmasi ve sistem ekipmanlarinin ekserji yikim maliyetlerinin belirlenmesi icin T56 turboprop motorun termoekonomik analizleri gerceklestirilmistir. Termoekonomik analizlerde, Specific Exergy Costing (SPECO) ve Modified Productive Structure Analysis (MOPSA) metotlari kullanilmistir. MOPSA metodu saft isi ve itki kuvveti icin SPECO metoduna kiyasla daha yuksek birim maliyetler vermektedir. Sonuc olarak, kalkis modu icin, pervaneye iletilen saft isinin birim maliyeti MOPSA metodu ile 84.68 $/GJ olarak hesaplanirken, SPECO metodunda 78.87 $/GJ olarak belirlenmistir. T56 turboprop motorun negentropi birim maliyeti motor yukunun artmasiyla azalmaktadir ve 14.98 $/GJ’den 11.08 $/GJ’e kadar siralanmaktadir. Sistem ekipmanlari icin MOPSA metodu ile elde edilen ekserji yikimi maliyetleri SPECO metodu ile elde edilen sonuclardan oldukca dusuktur. Ornegin, kalkis modu icin, yanma odasinin ekserji yikimi maliyeti SPECO metodunda 865.10 $/h olarak hesaplanmistir, oysa bu deger MOPSA metodunda 247.94 $/h olarak hesaplanmistir. Toplam sistemin ekserjoekonomik faktoru, kalkis modu icin, SPECO metodunda %23.07 ve MOPSA metodunda %54.16 olarak belirlenmistir
NATURAL LANGUAGE INTERACTION WITH SYNTHESIS BASED CONTROL FOR SIMULATED FREE-FLYING ROBOTS

For human-robot teams to effectively collaborate when communication is infrequent or intermittent, robots must reliably and independently perform tasks. Work in grounded language communication has enabled robots to interpret and execute instructions provided natural language, leading to more efficient interactions with human collaborators. To improve the reliability of the task execution, some modern approaches leverage Linear Temporal Logic in conjunction with language grounding models to synthesize correct-by-construction reactive controllers. Synthesis failure may indicate either genuine infeasibility of the task or gaps in the task relevant world knowledge; in the latter case, resolution can come via the human sharing their world knowledge. We demonstrate the ability to inject declarative knowledge into a system that uses grounded language to generate specifications for reactive controllers via experiments conducted with the Astrobee platform a simulated space station.
One-pot self-assembly of three-dimensional graphene macroassemblies with porous core and layered shell

The innate character of graphene, defined as the basic unit of sp2carbon materials, provides opportunities for the design and construction of carbon nanostructures with tuned properties. Here, we report a novel three-dimensional graphene macroassembly with a core–shell structure starting from reduced graphene oxides (RGO) by a one-pot self-assembly process under very mild conditions. In the presence of KMnO4, such an assembly process is initiated by low-temperature heating below 100 °C at atmospheric pressure and is totally free from a severe hydrothermal process. Such a core–shell structure is characterized by a porous core and layered membrane shell, and the macro-morphology and infrastructure of the macroassembly are well controllable and tunable. The macroassembly presented here and its self-assembly preparation directly from graphene nanosheets present the first example of the simultaneous formation of a coaxial hybrid infrastructure in a graphene-based nanostructured material, and such a core–shell structured macroassembly shows potential for use in energy storage and other applications.
Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies

The semi-nonparametric (SNP) modeling of the return distribution has been proved to be a flexible and accurate methodology for portfolio risk management that allows two-step estimation of the dynamic conditional correlation (DCC) matrix. For this SNP-DCC model, we propose a stepwise procedure to compute pairwise conditional correlations under bivariate marginal SNP distributions, overcoming the curse of dimensionality. The procedure is compared to the assumption of dynamic equicorrelation (DECO), which is a parsimonious model when correlations among the assets are not significantly different but requires joint estimation of the multivariate SNP model. The risk assessment of both methodologies is tested for a portfolio of cryptocurrencies by implementing backtesting techniques and for different risk measures: value-at-risk, expected shortfall and median shortfall. The results support our proposal showing that the SNP-DCC model has better performance for lower confidence levels than the SNP-DECO model and is more appropriate for portfolio diversification purposes.
DROPOUT FROM COMPETITIVE SPORTS IN INDIA

Background:Dropout in sports has always been an imperative issue in our country. This research aimed to find what reasons motivated young athletes to dropout in sports. The participants of this research have played either in the district, state, or national tournaments at some point in their careers. The age (25.87, ±1.055) group of the participants in this research is between 18 to 30years. The most important reasons that lead to dropping were found to be an influence of parents or friends, had commitments other than sports, did not get enough recognition, skills did not improve, not as good as wanted to be and did not receive enough awards. Whereas reasons like the relationship between coach, did not like to compete, wanted to play another sport, and did not like the pressure played no role at all for the athletes to dropout in sports.Methods:Athletes were asked to fill up a set of questionnaires with possible dropout reasons and rate them from one to five which they believe played an important role in dropping out of sports.Conclusion:The data indicates that both intrinsic and extrinsic factors had an influence on an athlete to drop out. Reasons such as had other things to do, friends and parents no longer wanted me to compete, my skills did not improve, did not get enough recognition, did not receive enough awards and not as good as wanted to be are the foremost reasons for dropout. It also indicates that non sport reasons also played a major role in athletes to dropout.
My House, My Rules: A Private-by-Design Smart Home Platform

Smart home technology has gained widespread adoption. However, several instances of massive corporate surveillance and episodes of sensor data breaches have raised many privacy concerns amongst potential consumers. This paper presents PatrIoT, a private-by-design IoT platform for smart home environments. PatrIoT revisits the typical architecture of existing IoT platforms, and provides an alternative design where the home owner retains full ownership and control of smart device generated data. It leverages Intel SGX to prevent unauthorized access to the data by untrusted IoT cloud providers, and offers homeowners an intuitive security abstraction named flowwall which allows them to specify easy-to-use policies for controlling sensitive sensor data flows within their smart homes. We have built and evaluated a PatrIoT prototype. Most of the participants in a field study considered PatrIoT to be easy to use, and the supported policies to be useful in protecting their privacy.
Title : The Yoga of sustainable diets : Exploring consumers mind and spirit Author names :

Unsustainable food choice and dietary behaviors put pressure on ecosystems and supply chain structures worldwide. Knowledge on the intrinsic values driving food consumption behavior are, therefore, essential in order to foster sustainability on a global, national and community based level. This study aims at exploring the relationship between different food consumption related behaviors and the intrinsic value shaping constructs of spirituality and mindfulness. Online questionnaire data on self-reported dietary behavior, self-reported food choice behavior, spirituality, and mindfulness were drawn from a population subsample in India and the United States of America. Factorial relationships between spirituality and mindfulness traits were explored using exploratory factor analysis (EFA). Furthermore, multiple regression analysis was performed to estimate the effect of the derived factor structures on different food choice and dietary behavior variables. The EFA resulted in 4 factors, of which two each frame spirituality and mindfulness. These factors are: (1) supernatural spirituality, (2) natural spirituality, (3) supportive mindset, and (4) scattered mindset. In both country data sets, factors 2 and 3 had significant adverse effects on the consumption of convenience foods and a positive effect on the consumers’ dietary awareness. Even though ambiguities exist concerning important dietary sustainability measures, e.g. the consumption of animal-protein based foods, this research reinforces the value of spirituality and spiritual practice measures for sustainability research, especially for consumer sciences. Further elaboration and application of these concepts may proof valuable for various stakeholders involved as they point to a more integral aspect of human psychology and behavior.
Effects of Different Fibre Sources in Pig Diets on Growth Performance, Gas Emissions and Slurry characteristics

| The effects of different fibre sources in pig diets on growth performance, ammonia (NH3), hydrogen sulphide (H2S), greenhouse gas (GHG) emissions and slurry characteristics was studied on 20 crossbred pigs [Duroc x F1 (Landrace x Yorkshire)]. The experimental diets included one low-fibre (LF) diet without maize distiller’s dried grains with solubles (DDGS), brewer’s grain (BG) and coconut cake (CC) and 3 high-fibre (HF) diets with maize DDGS or BG or CC. The experiment was conducted according to a completely randomized design with 5 replications and lasted 62 days. In the growing period and the overall, pigs fed diets LF and HF-DDGS had higher average daily gain (ADG) compared to pigs fed diets HF-BG and HF-CC (P < 0.05), wheareas the ADG was lower for pigs fed diets HF-BG and HF-CC than for diet LF (P < 0.05) in the fattening period. There was lower FCR for diets LF and HF-DDGS than for diets HF-BG and HF-CC (P < 0.05) in both periods and overall. In the growing and fattening pigs, diets didn’t affect N and P intake, slurry DM content (%) and amount of slurry (kg/head/day), slurry P content (%DM) (P > 0.05), while N and P excretions (g/head/day) were greater for diet HF-CC than for diet LF (P < 0.05). The CO2 emission was greater for diets HF-BG and HF-CC than for diets LF and HF-DDGS (P < 0.0001) in the growing period, but not for fattening period (P > 0.05). In both periods, CH4 emission was lower in diet LF than in diet HF-BG and HF-CC (P < 0.05), while NH3 emission was higher for pigs fed diet LF than pigs fed HF-BG and HF-CC (P < 0.05). The H2S emission was not affected by diets in both periods. In conclusion, different fibre sources in pig diets may be a practical method to alter growth performance, slurry characteristics and NH3, GHG emissions.
Effect of Number of Locules, Loading Position, and Compression Speed on the Mechanical Behaviors of Tomato Fruits

The mechanical properties of three or four half-ripe locular tomato fruits were characterized by compression testing at 0.5, 1.5, 2.5, 3.5 mm s−1 to a final deformation of 4% using three loading positions. There was no significant dependence of any of the mechanical parameters on the loading position for these relatively low deformations. However, their dependence on the number of locules and compression speed was highly significant. It is clear that internal structural characteristics and the speed of compression need to be considered in investigations of tomato fruit mechanical behavior.
The distribution of star formation in galactic bars as seen with H$\alpha$ and stacked $GALEX$ UV imaging

We investigate the spatial distribution of star formation (SF) within bars of nearby disk galaxies (inclination $< 65^{\circ}$) from the S$^4$G survey. We use archival $GALEX$ far- and near-UV imaging for 772 barred galaxies. We also assemble a compilation of continuum-subtracted H$\alpha$ images for 433 barred galaxies, of which 70 are produced by ourselves from ancillary photometry and MUSE/CALIFA IFU data cubes. We employ two complementary approaches: i) the analysis of bar/disk stacks built from co-added UV images of hundreds of galaxies; and ii) the classification of the morphology of ionised regions in galaxies into three main SF classes: A) only circumnuclear SF, B) SF at the bar ends, but not along the bar, and C) SF along the bar. Lenticular galaxies typically belong to SF class A: this is probably related to bar-induced SF quenching. The distribution of SF class B peaks for early- and intermediate-type spirals: this most likely results from the interplay of gas flow, shocks, and enhanced shear in centrally concentrated galaxies with large bar amplitudes. Late-type galaxies are mainly assigned to SF class C: we argue that this is a consequence of low shear. In bar stacks of spirals, the UV emission traces the stellar bars and dominates on their leading side, as witnessed in simulations. For early-types, the central UV emission is $\sim$0.5 mag brighter in strongly barred galaxies, relative to their weakly barred counterparts: this is related to the efficiency of strong bars sweeping the disk gas and triggering central starbursts. We also show that the distributions of SF in inner ringed galaxies are broadly the same in barred and non-barred galaxies, including a UV/H$\alpha$ deficit in the middle part of the bar: this hints at the effect of resonance rings trapping gas. Distinct distributions of SF within bars are reported in galaxies of different morphological types (Abridged).
Grazing-incidence small-angle X-ray scattering: new tool for studying thin film growth

Grazing-incidence small-angle X-ray scattering (GISAXS) is introduced as a method of studying discontinuous thin films. In this method, the incident beam is totally externally reflected from the substrate followed by small-angle scattering of the refracted beam by the thin film. The experiment described establishes the ability of GISAXS to provide size information for islands formed in the initial stages of thin film growth. The data presented are for gold films of 7 and 15 A average thicknesses on Corning 7059 glass substrates. The advantages of this technique are that it is non-destructive, can be done in situ, provides excellent sampling statistics, does not necessarily require a synchrotron source, and is not limited to thin or conducting substrates.
INFRARED-SPECTROELECTROCHEMICAL CHARACTERIZATION OF THE NIFE HYDROGENASE OF DESULFOVIBRIO GIGAS

Electrochemically controlled titrations of the different redox states detected by IR spectroscopy of Desulfovibrio gigas hydrogenase are reported. This enzyme has in common with other metal-containing hydrogenases the existence of three intense bands at exceptionally high frequencies that in Chromatium vinosum hydrogenase have been found to arise from two CN- and one CO (Happe, R. P.; Roseboom, W.; Pierik, A. J.; Albracht, S. P. J.; Bagley, K. A. Nature 1997, 385, 126). Here we propose a tentative assignment of these special groups to the three diatomic active site Fe ligands observed in the crystal structure of Desulfovibrio gigas hydrogenase (Volbeda, A.; Garcin, E.; Piras, C.; de Lacey, A. L.; Fernandez, V. M.; Hatchikian, E. C.; Frey, M.; Fontecilla-Camps, J. C. J. Am. Chem. Soc. 1996, 118, 12989−12996), based on their interaction with the protein environment. IR states equivalent to each one of the Ni-EPR detectable states and their corresponding one-electron reduced EPR-silent forms have been identi.
Measurements of pp $\to$ ZZ production cross sections and constraints on anomalous triple gauge couplings at $\sqrt{s} =$ 13 TeV

The production of Z boson pairs in proton-proton (pp) collisions, pp $\to$ (Z/$\gamma^*$)(Z/$\gamma^*$) $\to$ 2$\ell$ 2$\ell'$, where $\ell,\ell'$ = e or $\mu$, is studied at a center-of-mass energy of 13 TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137 fb$^{-1}$, collected during 2016-2018. The ZZ production cross section, $\sigma_{\text{tot}}$ (pp $\to$ ZZ) = 17.2 $\pm$ 0.3 (stat) $\pm$ 0.5 (syst) $\pm$ 0.4 (theo) $\pm$ 0.3 (lumi) pb, measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region 60 $\lt m_{\ell^+\ell^-} \lt $ 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous ZZZ and ZZ$\gamma$ couplings.
A Differential Mobility Analyzer (DMA) for Size Selection of Nanoparticles at High Flow Rates

This article demonstrates the feasibility of scaling-up the technique for particle size selection in the gas phase based on differential mobility analysis. Nano-DMAs used to select the particle size in processes for the synthesis of nanomaterials in the laboratory operate at aerosol flow rates of a few liters per minute. A new DMA capable of classifying nanoparticles of up to 30 nm in size at aerosol flow rates as high as 100 l· min −1 will be presented (HF-DMA). A major advantage of the HF-DMA over current nano-DMAs covering the same particle size is that its resolution is almost unaffected by Brownian diffusion for particles as small as 3 nm. Monodisperse nanoparticles in the 5 to 25 nm size range have been produced at flow rates of up to 90 l· min −1 . The spread in particle size and the particle number concentration were studied with respect to their dependency on the flow rates in the HF-DMA. The measurements reflect the behavior predicted by the theory. The HF-DMA makes it possible to deliver nanoparticles of a well-defined size at yields two orders of magnitude higher than with current nano-DMAs.
A Bourdieusian Perspective on the Public Service Interpreters Working at the Non-Governmental Organizations

Son dokuz yilda Suriye ic savasindan dolayi yaklasik 3,5 milyon Suriyeli Turkiye’ye siginmistir. Iki toplum bolgesel ve kulturel olarak birbirine yakin olsa da aralarinda iletisim engellerine yol acan dil farkliligi mevcuttur. Dil engeline yonelik basta multeci nufusun fazla oldugu sehirlerdeki saglik kuruluslari olmak uzere diger devlet kurumlari ve mahkemelerde toplum cevirmenleri hizmet vermektedirler. Ayrica, Siginmacilar ve Gocmenlerle Dayanisma Dernegi (SGDD) gibi sinirli sayidaki sivil toplum kurulusu da tercuman istihdam etmektedir. Turkiye buyuk bir goc dalgasi ile ancak son zamanlarda karsilasan bir ulkedir ve ulkede gocmen politikalari konusunda henuz yeterli adimlar atilamamistir. Bu nedenle, multecilere saglanan toplum cevirmenligi hizmetleri yeterli duzeyde gelismemistir ve yeterli duzeyde egitim almis tercumanlar da oldukca azdir. Bu baglamda, bu calismada SGDD’de calisan tercumanlarin mesleki faaliyetleri, tercumanlarin kendi mesleki algilari ile ceviri faaliyetlerini etkileyen kurumsal kosullar uzerinden incelenecektir. Tercumanlari bu ise yonelten saikler ve mesleki faaliyetleri sirasinda kendileri icin mevcut olan/olmayan sermaye turleri Pierre Bourdieu'nun habitus , sermaye ve illusio kavramlari isiginda tartisilacaktir. Incelemede tercumanlar ile gerceklestirilen mulakatlarin yani sira kurum yetkilileri ile gerceklestirilen mulakatlar ve kurumsal dokumanlar veri kaynaklari olarak kullanilmaktadir. Var olan dil becerilerini kullanmak ve multecilere yardim etmek gibi saiklerle SGDD’de calismaya baslayan tercumanlarin sinirli da olsa multecilerle kurduklari sosyal baglar ve diger meslek gruplari karsisindaki sinirli yetkileri mesleki faaliyetleri kapsaminda one cikan durumlardir.
Determination of extra virgin olive oil in quaternary mixture using FTIR spectroscopy and multivariate calibration

The purpose of this study was to optimize Fourier transform infrared (FTIR) spectroscopy in combination with multivariate calibrations (partial least square and principle component regression) for determination of extra virgin olive oil (EVOO) in quaternary mixture systems with grape seed oil (GSO), rice bran oil (RBO) and walnut oil (WO). FTIR spectra of EVOO in quaternary mixtures were subjected to several treatments including mean centering (MC), standard normal variate, and spectra derivatives. The combined frequency regions of 1200–900 and 2949–2885 cm–1 were used for determination of EVOO. Using partial least square calibration, FTIR normal spectra treated with MC model give the highest values of coefficient of determination (R2) and the lowest values of root mean square error of calibration (RMSEC). The R2 value obtained for the relationship between actual and FTIR predicted value of EVOO was >0.99 with RMSEC value of 1.55% (v/v). The developed PLS model was further used to calculate EVOO in prediction samples, and the root mean square error of prediction obtained was 3.65% (v/v).
Validation of an Intra-Oral Scan Method Versus Cone Beam Computed Tomography Superimposition to Assess the Accuracy between Planned and Achieved Dental Implants: A Randomized In Vitro Study

Computer aided implantology is the safest way to perform dental implants. The research of high accuracy represents a daily effort. The validated method to assess the accuracy of placed dental implants is the superimposition of a pre-operative and a post-operative cone beam computed tomography (CBCT) with planned and placed implants. This procedure is accountable for a biologic cost for the patient. To investigate alternative procedure for accuracy assessment, fifteen resin casts were printed. For each model, six implants were digitally planned and then placed following three different approaches: (a) template guided free hand, (b) static computer aided implantology (SCAI), and (c) dynamic computer aided implantology (DCAI). The placement accuracy of each implant was performed via two methods: the CBCT comparison described above and a matching between implant positions recovered from the original surgical plan with those obtained with a post-operative intraoral scan (IOS). Statistically significant mean differences between guided groups (SCAI and DCAI) and the free hand group were found at all considered deviations, while no differences resulted between the SCAI and DCAI approaches. Moreover, no mean statistically significant differences were found between CBCT and IOS assessment, confirming the validity of this new method.
Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health

Introduction: Recent observations have shown that lengthening the daily eating period may contribute to the onset of chronic diseases. Time-restricted eating (TRE) is a diet that especially limits this daily food window. It could represent a dietary approach that is likely to improve health markers. The aim of this study was to review how time-restricted eating affects human health. Method: Five general databases and six nutrition journals were screened to identify all studies published between January 2014 and September 2020 evaluating the effects of TRE on human populations. Results: Among 494 articles collected, 23 were finally included for analysis. The overall adherence rate to TRE was 80%, with a 20% unintentional reduction in caloric intake. TRE induced an average weight loss of 3% and a loss of fat mass. This fat loss was also observed without any caloric restriction. Interestingly, TRE produced beneficial metabolic effects independently of weight loss, suggesting an intrinsic effect based on the realignment of feeding and the circadian clock. Conclusions: TRE is a simple and well-tolerated diet that generates many beneficial health effects based on chrononutrition principles. More rigorous studies are needed, however, to confirm those effects, to understand their mechanisms and to assess their applicability to human health.