Miracle-dz/UniFAR-FTUs huggingface dataset:
Seeding Performance Simulations and Experiments for a Spoon-Wheel Type Precision Cottonseed-Metering Device Based on EDEM

To study the effects of seed metering on seeding performance under different motion parameters, a simulation model for a spoon-wheel type seeder was established. A seed meter was tested by using EDEM (Engineering Discrete Element Method) software to simulate its working process at different speeds and tilt angles. The trajectories of individual cottonseeds in the seed-metering device were obtained, concurrently, the stress trend in the grain group was determined as a function of time. The simulation results suggest that at larger speeds, the metering index of the seed meter gradually decreases, while the index and the missing index gradually increase. As the tilt angle increased, the multiples index and missing index gradually decreased, while the multiples index gradually increased. When the seed meter speed reached 50 r/min and the tilt angle was 15°, the seed meter had a relatively good working performance with a seed spacing acceptance index of 92.59%, a multiples index of 1.85%, and a missing rate index of 5.56%. The seed meter was tested on a bench by using a JPS-12 performance-tester bench. At the aforementioned speed and angle, the coefficient of variation for the cottonseed spacing was 2.1%. The field trial results indicated that the multiples and the missing rates were higher than those for the tester bench but still met a passing rate of more than 90%. The coefficient of variation for the seed spacing was less than 10%, suggesting that the design could be used for field sowing. The resulting seeding uniformity was higher under these conditions, which indicates that the seed meter has a better working performance and the bench has a good seeding effect.
Confined liquid: Simultaneous observation of a molecularly layered structure and hydrodynamic slip

The force profile between a glass microsphere and mica in 1-propanol has been measured with the colloidal probe technique. Oscillatory solvation forces indicate a layered structure of the confined propanol for at least three layers. In the same experiment, hydrodynamic forces were measured at high approaching velocity. Comparing measured force curves with calculations we found a significant effective slip, which could be described by a slip length of 10–14 nm.
Intraseasonal Predictions for the South American Rainfall Dipole

The South American rainfall Dipole (SAD) is a renowned spatial structure present in the austral summer as part of the South American monsoon system. SAD phases have been related with extreme precipitations and severe droughts across South America, but are yet to be predicted. Here, we reveal two robust and reliable intraseasonal windows in the accumulated SAD index where we can forecast its quantile‐state between 5 to 15 and 60 to 70 days in advance (99% significance level). These windows are insensitive to variations in the pole's size and accumulation window, and results are consistent across different quantiles states (median, tercile, and quartile). Our method, which is based on analyzing the lagged mutual information between future and present states, could be used in the development of early warnings for extreme rainfall events. Moreover, it is unrestricted to the present analysis, being applicable to other stationary signals where a forecast is missing.
Hydrogen Generation from the Hydrolysis of Ammonia-borane and Sodium Borohydride Using Water-soluble Polymer-stabilized Cobalt(0) Nanoclusters Catalyst

Polymer-stabilized cobalt(0) nanoclusters were prepared from the reduction of cobalt(II) chloride in the presence of poly(N-vinyl-2-pyrrolidone) (PVP) stabilizer in methanol solution. PVP-stabilized cobalt(0) nanoclusters were found to be stable in solution and could be isolated as solid material and characterized by TEM, XPS, FT-IR, and UV−visible electronic absorption spectroscopy. PVP-stabilized cobalt(0) nanoclusters were employed as catalyst in the hydrolysis of sodium borohydride and ammonia-borane, which have been considered as solid-state hydrogen storage materials for portable fuel cell applications. PVP-stabilized cobalt(0) nanoclusters were found to be highly active catalyst in both hydrolysis reactions, even at room temperature. Kinetic studies show that the catalytic hydrolyses of sodium borohydride and ammonia-borane are both first order with respect to catalyst and substrate concentration in aqueous medium. The effect of the NaOH concentration on the catalytic activity of the PVP-stabilized.
The Effect of Molecular Architecture on the Thermotropic Behavior of Poly[11-(4‘-cyanophenyl-4‘‘-phenoxy)undecyl acrylate] and Its Relation to Polydispersity

Contrary to theoretical predictions on rodlike molecules (mixture of axial ratios) and previous experimental speculations on side chain liquid crystalline polymers (mixture of molecular weights), the breadth of the isotropization transition of poly[11-(4‘-cyanophenyl-4‘‘-phenoxy)undecyl acrylate] is not broadened by polydispersity in chain length alone. Instead, it is broadened by the limited miscibility of a mixture of branched structures. SCLCPs and their mesogenic side chains can therefore be treated as mixtures of random coils and monodisperse rods. This was demonstrated by comparing the thermotropic behavior of linear and three-arm star poly[11-(4‘-cyanophenyl-4‘‘-phenoxy)undecyl acrylate]s prepared by atom-transfer radical polymerization (ATRP), and their binary blends and unmixed composites. The biphasic region of linear polymers with pdi = 1.15−1.49, and of their binary mixtures, is extremely narrow. Although 3-arm star polymers with pdi = 1.11−2.20 also exhibit extremely narrow isotropization tra.
Chemical and bioactive properties of the oils from Brazilian nuts

This paper aims to determine the content of bioactive substances of lipid fractions extracted from Bertholletia excelsa, Lecythis pisonis and Dipteryx lacunifera, in by the interest of better identifying the quality of these raw materials. Proximate composition of nuts was determined by official methods and total carbohydrate was calculated by difference. The oils were extracted from the nuts by cold pressing and analyzed for fatty acid composition, tocopherols, phytosterols and total carotenoids and phenolics compounds. The fatty acid composition of oil extracted from L. pisonis was more unsaturated compared with others oils. L. pisonis oil showed to be richer in total tocopherol and γ-tocopherol, moreover showed considerable total phytosterol and carotenoid amounts, thus representing an important source of vitamins A and E. The oils showed significant content of phenolic compounds, with the exception of the oil extracted from D. lacunifera. The study revealed that the oils from Brazilian nuts contain bioactive compounds in relevant quantities, L. pisonis oil standing out. This fact favors their use for food and, as raw material in chemical, pharmaceutical and cosmetic industries, adding value to products derived from these oils, increasing the viable sources of raw materials.
To look or not to look: Subliminal abruptonset cues influence constrained free-choice saccades

Subliminal cues have been shown to capture attention and modulate manual response behaviour but their impact on eye movement behaviour is not well-studied. In two experiments, we examined if subliminal cues influence constrained free-choice saccades and if this influence is under strategic control as a function of task-relevancy of the cues. On each trial, a display containing four filled circles at the centre of each quadrant was shown. A central coloured circle indicated the relevant visual field on each trial (Up or Down in Experiment 1; Left or Right in Experiment 2). Next, abrupt-onset cues were presented for 16 ms at one of the four locations. Participants were then asked to freely choose and make a saccade to one of the two target circles in the relevant visual field. The analysis of the frequency of saccades, saccade endpoint deviation and saccade latency revealed a significant influence of the relevant subliminal cues on saccadic decisions. Latency data showed reduced capture by spatiallyirrelevant cues under some conditions. These results indicate that spatial attentional control settings as defined in our study could modulate the influence of subliminal abrupt-onset cues on eye movement behaviour. We situate the findings of this study in the attention-capture debate and discuss the implications for the subliminal cueing literature.
Force field, dipole moment derivatives, and vibronic constants of benzene from a combination of experimental and ab initio quantum chemical information

The quadratic and the most important cubic force constants of benzene have been determined from ab initio Hartree–Fock calculations with a double‐zeta basis set. Some constants have also been recalculated using other basis sets, including a polarized one. A few empirical scale factors, applied to the ab initio force field, allow the reproduction of a large number of observed vibrational frequencies, isotope shifts, and Coriolis constants within the uncertainties of experiment and the harmonic model. It is shown that the simultaneous utilization of ab initio and spectroscopical information is sufficient for the conclusive resolution of the uncertainties and alternatives in previous empirical force fields. The resulting scale factors can be used directly to obtain force fields for other aromatic hydrocarbons from ab initio calculations. Reproduction of the observed infrared intensities is only moderately successful, even with the polarized basis set. The calculated vibronic coupling constants show qualitati.
The deadly couch: physical (in)activity in middle-aged women in Australia

Abstract Global awareness about an increase of chronic diseases and premature mortality due to ‘unhealthy eating’ and ‘sedentary lifestyles’ is embedded in various discourses shaped by relationships and power. In this article, I investigate the role of physical activity in the lives of middle-aged women in Australia and how their experiences with exercise influence the way they position themselves within the context of inter-discursivity regarding fitness and ‘healthy ageing’. Results reveal how ‘knowledge’ about ‘healthy lifestyles’ is created and accessed, and how women make sense of the healthism discourse, the obesity crisis, and discourses around menopause and ageing. The participants for this study are nine women in their forties to sixties who volunteered to participate in semi-structured interviews after completing an online survey about physical activity that was part of a larger project. Their accounts of health and fitness, healthy eating, weight management, mental wellbeing and ageing are categorised and interpreted in a post-structuralist framework through the lens of feminist relational discourse analysis. Results show that all women are influenced by healthism discourses as well as being affected by assumptions and recommendations for ageing, menopausal women. They shape female identity by adopting, but also by resisting, discourses around their bodies and minds.
Fuzzy encoding with hybrid pooling for visual dictionary in food recognition

Tremendous number of f food images in the social media services can be exploited by using food recognition for healthcare benefits and food industry marketing. The main challenges in food recognition are the large variability of food appearance that often generates a highly diverse and ambiguous descriptions of local feature. Ironically, the ambiguous descriptions of local feature have triggered information loss in visual dictionary constructions from the hard assignment practices. The current method based on hard assignment and Fisher vector approach to construct visual dictionary have unexpectedly cause errors from the uncertainty problem during visual word assignation. This research proposes a method of combination in soft assignment technique by using fuzzy encoding approach and maximum pooling technique to aggregate the features to produce a highly discriminative and robust visual dictionary across various local features and machine learning classifiers. The local features by using MSER detector with SURF descriptor was encoded by using fuzzy encoding approach. Support vector machine (SVM) with linear kernel was employed to evaluate the effect of fuzzy encoding. The results of the experiments have demonstrated a noteworthy classification performance of fuzzy encoding approach compared to the traditional approach based on hard assignment and Fisher vector technique. The effects of uncertainty and plausibility were minimized along with more discriminative and compact visual dictionary representation.
Evaluation of options portfolios for exchange rate hedges

In this paper evaluate six exchange rate hedging strategies with financial options from the OTC market in Colombia. Three hedging strategies for importers and three for exporters were raised. The coverage for importers was carried out with the traditional strategy of long call, bull call spread and bull put spread, the last two correspond to options portfolios. the coverage for importers was carried out with the traditional strategy of long put, bear call spread and bear put spread, the last two correspond to options portfolios. to determine the best hedging strategy, the currency price was modeled with a Wiener process and the VaR for the six covered scenarios was calculated and compared with the VaR of the uncovered scenario. The results shown by the six hedging strategies manage to mitigate the exchange risk, but the most efficient strategies are the traditional ones for both importers and exporters.
Deep learning based static hand gesture recognition

Hand gesture recognition becomes a popular topic of deep learning and provides many application fields for bridging the human–computer barrier and has a positive impact on our daily life. The primary idea of our project is a static gesture acquisition from depth camera and to process the input images to train the deep convolutional neural network pre-trained on ImageNet dataset. Proposed system consists of gesture capture device (Intel® RealSense™ depth camera D435), pre-processing and image segmentation algorithms, feature extraction algorithm and object classification. For pre-processing and image segmentation algorithms computer vision methods from the OpenCV and Intel Real Sense libraries are used. The subsystem for features extracting and gestures classification is based on the modified VGG-16 by using the TensorFlow&Keras deep learning framework. Performance of the static gestures recognition system is evaluated using maching learning metrics. Experimental results show that the proposed model, trained on a database of 2000 images, provides high recognition accuracy both at the training and testing stages.
Spectrum sharing in cognitive radio networks

Cognitive radio networks are the next step to tackle scarcity in wireless networks given the increasing demand of radioelectric spectrum where the proposed solution is to share said resource to improve this situation. In the present article, a review of the current state of spectrum sharing in cognitive radio networks. To achieve this purpose, the articles published over the last 4 years on the matter were reviewed including topics such as mobile networks and TV. Some studies and simulations proposed to share the spectrum is shown. The current state of the studies reveals that there has been significant progress in this research area yet it is necessary to continue similar studies and set in motion different schemes.
Arabic handwritten digits recognition based on convolutional neural networks with resnet-34 model

Handwritten digits recognition has attracted the attention of researchers in pattern recognition fields, due to its importance in many applications in public real life, such as read bank checks and formal documents which is a continuous challenge in the last years. For this motivation, the researchers created several algorithms in recognition of different human languages, but the problem of the Arabic language is still widespread. Concerning its importance in many Arab and Islamic countries, because the people of these countries speak this language, However, there is still a little work to recognize patterns of letters and digits. In this paper, a new method is proposed that used pre-trained convolutional neural networks with resnet-34 model what is known as transfer learning for recognizing digits in the arabic language that provides us a high accuracy when this type of network is applied. This work uses a famous arabic handwritten digits dataset that called MADBase that contains 60000 training and 1000 testing samples that in later steps was converted to grayscale samples for convenient handling during the training process. This proposed method recorded the highest accuracy compared to previous methods, which is 99.6%.
Seasonal sources and sinks of atmospheric CO2 Direct inversion of filtered data

A two-dimensional atmospheric transport model with transport fields derived from a GCM is used to perform the inverse calculation of determining surface CO 2 sources from surface concentration data. The concentration data are filtered spatially and temporally with a minimum period of 6 months and a maximum spatial wave number of 5 in order to suppress the unbounded error amplification that occurs in such inverse problems. The distribution of sources and sinks is consistent with recent results concerning oceanic uptake of CO 2 . The results also show an additional northern hemisphere sink that is interpreted as additional biotic growth and a seasonal tropical source that may represent seasonal burning of cleared biomass. DOI: 10.1111/j.1600-0889.1989. tb00129.x
Anthropometric and bioimpedance equations for fat and fat-free mass in Chilean children 7–9 years of age

Abstract Assessing children’s growth adequately is important due to the necessary prevention of adequate body composition, especially at pre-pubertal age. Simpler measurements such as anthropometry or bioimpedance, using equations validated in Caucasian children, have been demonstrated to overestimate or underestimate fat mass percentage (FM%) or fat-free mass (FFM) in Chilean children. In a sample of 424 children (198 boys and 226 girls) of 7–9 years old, the three component (3C) model was assessed, where total body water was determined by 2H dilution and body volume by air displacement plethysmography, in order to design and validate anthropometry and bioimpedance equations. The FM (%) equation specific for Chilean children was validated as (1·743 × BMI z-score) + (0·727 × triceps skinfold) + (0·385 × biceps skinfold) + 15·985, against the 3C model (R 2 0·79). The new FFM equation (kg) generated was (log FFM = (0·018 × age) + (0·047 × sex) + (0·006 × weight) + (0·027 × resistance) + 2·071), with an R 2 0·93 (female = 1 and male = 2). The Bland–Altman analysis shows a mean difference of 0·27 (sd 3·5) for the FM% in the whole group as well as 0·004 (sd 0·9) kg is the mean difference for the bioelectrical impedance analysis (BIA) FFM (kg) equation. The new equations for FM (%) and FFM (kg) in Chilean children will provide a simple and valid tool for the assessment of body composition in cohort studies or to assess the impact of nutritional programmes or public policies.
Enhanced light harvesting in bulk heterojunction photovoltaic devices with shape-controlled Ag nanomaterials: Ag nanoparticles versus Ag nanoplates

Enhanced power conversion efficiency (PCE(%)) with improved optical path length from two types of shape controlled silver (Ag) materials (Ag nanoplates versus Ag nanoparticles (NPs)) was studied in poly(3-hexylthiophene) (P3HT)/[6,6]-phenyl C71 butyric acid methyl-ester (PC71BM) or poly[N-9′′-hepta-decanyl-2,7-carbazole-alt-5,5-(4′,7′-di-2-thienyl-2′,1′,3′-benzothiadiazole)] (PCDTBT)/[6,6]-phenyl C71 butyric acid methyl-ester (PC71BM) bulk heterojunction (BHJ) devices. The Ag nanoplates and Ag NPs can be synthesized by simple solution polyol chemistry with well defined size and shape. A BHJ with a 0.5 wt% optimized blend ratio of Ag nanoplates shows improved cell performance and photo-current density than a BHJ with Ag NPs owing to the enhanced light absorption with the results of an excitation of localized surface plasmon and efficient light scattering by the Ag nanoplates embedded BHJ film. When the BHJ is combined with the Ag nanoplates at an optimized ratio of 0.5 wt%, the PCE (%) increases from 3.2% to 4.4% in P3HT/PC71BM, and from 5.9% to 6.6% in PCDTBT/PC71BM BHJ devices.
The Effect of Technology Adoption on Job Insecurity: A Case Study in Turkish Textile Sector

Ticaret ve ekonomideki kuresel degisiklikler nedeniyle, firmalarin uretim sureclerinde yeni teknolojiler benimsemeleri gerekmektedir. Bu bitmeyen orgutsel degisiklikler, calisanlarda dirence sebep olmakta ve is kaybetme endisesini arttirmaktadir. Calisanlar, daha yeni ekipman daha az emek gerektirdiginden islerini kaybedebileceklerini dusunuyorlar. Bu calismada, Kahramanmaras'ta yeni bir uretim altyapisi benimseyen, bir tekstil imalat fabrikasinda teknoloji edinimi ile is guvensizligi arasindaki iliski arastirilmistir. Bunu yapabilmek icin oncelikle bir literatur taramasi yapilmis olup ve konu, baglam, metodoloji ve bulgular acisindan onceki calismalar incelenmistir. Daha sonra yazindan uyarlanan bir anket, fabrikadaki 96 katilimciya (tum isgucu) uygulanmistir. Istatistiksel analizler, SPSS ve AMOS yardimiyla yapildi. Sonuclar, fabrika calisanlarinin, yeni teknolojiyi kullanmaya istekli olduklarini ve kullanimda faydali oldugunu dusunduklerini belirtmektedir. Ancak calisanlarin islerini kaybetme endisesi vardir. Sonuc olarak, uygulayicilar, arastirmacilar ve politikacilar icin bazi oneriler sunulmaktadir.
NANOLEVEL MAGNETIC SEPARATION MODEL CONSIDERING FLOW LIMITATIONS

This work proposes an enhanced nanolevel magnetic separation model considering flow limitations using simplifying assumptions. The theoretical model builds on magnetic heteroflocculation models described in the literature and couples the magnetic and hydrodynamic forces between two spherical particles with different sizes and different magnetic properties under bulk fluid flow conditions. Separator performance figures are presented showing the relationship between input parameters such as applied magnetic field strength, flow rate, and matrix material size and composition, and output parameters such as Peclet number and capture propensity for various contaminant particle sizes. This purely predictive model work may be useful in estimating actual magnetic separator performance and serve as a starting point for experimental work or more accurate mathematical models. This work provides a simplified mathematical model to predict magnetic separator performance based on single magnetic matrix particle and single magnetic contaminant particle interactions. Local maxima, or transition points, between matrix and contaminant particle size and separator performance indicate magnetic separator performance can be optimized by the selection of appropriate magnetic matrix particle size. Evaluation of points of maximum particle capture force using the Peclet number provides limiting conditions for retention of particles under Stokes flow conditions.