Miracle-dz/UniFAR-FTUs huggingface dataset:
Ruminant milk: A source of vitamins in human nutrition

Humankind will be facing a major challenge in future decades. The world population is increasing, especially in Asia, and the demand for food, markedly animal products, will increase simultaneously. At the same time, environmental concerns are increasing, and the negative role of livestock is often pointed out. The sustainability of agriculture, especially that of livestock, seems a difficult task. Among other challenges, agriculture must compete in the utilization of arable surfaces for the production of food for humans or for animals. To meet these challenges, the environmental impact of livestock and agriculture in general will have to decrease while the efficacy and efficiency of production will have to increase. Under these conditions, sharing dietary resources is important, but access to food with an optimal nutritional density is critical to meeting the nutritional requirements of the world population. Vitamin provision should be taken into account when discussing the nutritional density of food, and for several vitamins, consumption of animal products seems essential, as we will see in this paper. In the first part, vitamins and current knowledge of their nutritional value will be summarized. The role of ruminant milk, especially bovine milk, will then be discussed, with attention given to recommended daily intakes in human nutrition and observed natural variations in concentrations of vitamins in milk.
Lower-part Stochastic Unipolar Adder to Improve Computation Accuracy

Stochastic computing is one of approximate computing, which provides lower power consumption through simpler designs with a tolerable error. However, stochastic computing has a fundamental limitation in bit width. The larger the bit size, the longer the computation time. Besides, the error rate also increases as the bit size increases. In this paper, we propose a new stochastic adder, in which stochastic computing is only applied in the lower bits to reduce overall errors in large bit addition. Simulation shows that the proposed design can achieve up to 17x average error reduction compared with the conventional design when a half of the bit is computed stochastically.
Seed weight response to decreased seed number in maize.

Weight per seed (SDWT) of maize (Zea mays L.) has been rcported to show no response when seed number was manually decreased. This field experiment was designed to test the general3 y of this lack of response across techniques of reducing seeds per ear and across genotypes. Bagging ears of a dent hybrid 2 to 4 d after silking reduced seed number by 15 to 45% and increased SDWT by 19 to 25%. The same treatment applied to a popcorn hybrid reducvd seed number by 12 to 36% with no significant increase in SDWC. Open pollinated varieties representing different seed sizes showed similar variability in SDWT response to reduced seed number. When SDWT of the dent hybrid and one of the varieties increased in response to reduced reed number, seed volume increased by a similar fraction. Removal of the apical half of the ear of the dent hybrid caused a different SDWT response than ear bagging. Such removal 5 to 15 d after silking decreased SDWT while removal 20 to 25 d after silking produced no significant change. Thus, it appeared that the response of SDWT to reduced seed number depended on genotype, how seed number was reduced, and when the reduction occurred. The reduction in SDWT due to early ear cutting was not due to a reduction in number of endosperm cells or volume of the developing seeds. The possibility of a physical restraint on SDWT by the developing pericarp of some cultivars was discussed. Contribution from the USDA-ARS.
Charging Strategy Unifying Spatial-Temporal Coordination of Electric Vehicles

This paper focuses on how to make a charging guidance for urgent charging electric vehicles (EVs) to fast charging stations. To avoid charging overload in the spatial-temporal scale and excessive waiting time for EV users, a charging guidance strategy based on the virtual service range is proposed. Considering the mutual influence among EVs’ charging selections, the proposed strategy can unify the temporal shift and spatial shift of the charging load into the same time scale to control rather than other works only do the temporal shift. Specifically, the proposed strategy has two stages: the charging arrangement and the spatial-temporal shift. The charging arrangement stage is to determine whether an EV can be allowed to charge at a certain time and a given charging station while the spatial-temporal shift stage is to regulate the charging time or charging location. Besides, a bucketsort-based algorithm is proposed to solve the formulated problem in the charging arrangement stage. Finally, three scenarios have been designed to demonstrate the feasibility of the proposed strategy and the performance of the presented algorithm is compared with the other decentralized algorithms.
Dynamic Wireless Charging System for Electric Vehicles based on Ultra-capacitor Integrated Magnetic Resonance Coupling

Electric vehicle is the innovation of the future. Reduction of pollution along with decreasing the fossil fuel consumption aids the need for its popularization. Energy storage is an integral part of electric vehicle technology. However the size of battery, frequent charging, adverse atmospheric conditions etc. poses hindrance for the popularization of the technology. The project aims to aid the developing field of electric vehicles by suggesting an alternate way of power transfer to electric vehicles. The proposed system works on the principle of wireless magnetic resonance coupling. The system will have specially designed roads with energized winding buried beneath. The secondary windings will be on the vehicle which will link the maximum possible flux, effectively for a seamless and stable power transfer. An ultracapacitor is used in the secondary circuit which drives the motors. The paper proposes a dynamic charging system suitable for wide range of applications. The result shows that the use of ultracapacitor in wireless charging system can support fast charging and discharging need of electric vehicles. This will help in the stable and commercial use of electric vehicles so as to help the reduction of fossil fuels in transportation systems.
Sexual Dimorphism of NAFLD in Adults. Focus on Clinical Aspects and Implications for Practice and Translational Research

Nonalcoholic fatty liver disease (NAFLD) embraces the clinico-pathological consequences of hepatic lipotoxicity and is a major public health problem globally. Sexual dimorphism is a definite feature of most human diseases but, under this aspect, NAFLD lags behind other medical fields. Here, we aim at summarizing and critically discussing the most prominent sex differences and gaps in NAFLD in humans, with emphasis on those aspects which are relevant for clinical practice and translational research. Sexual dimorphism of NAFLD is covered with references to the following areas: disease prevalence and risk factors, pathophysiology, comorbidities, natural course and complications. Finally, we also discuss selected gender differences and whether sex-specific lifestyle changes should be adopted to contrast NAFLD in men and women.
Mono- and polyclonal antibodies to the organophosphate fenitrothion. 2. Antibody specificity and assay performance

The performance and specificities of antibody-based assays for fenitrothion were studied. Fenitrothion could be detected in grin in assays with either polyclonal or monoclonal antibodies using either immobilized antibody or immobilized hapten-protein conjugates. Most assay formats and antibodies distinguished fenitrothion from structurally similar organophosphates, and variable extents of cross-reaction with metabolites were observed. The concentration of fenitrothion in wheat grain samples was measured in three assay formats with two antibodies, and in each case good correlations were obtained with the results obtained by gas-liquid chromatography
Design of a Novel Hybrid CMOS Non-Volatile SRAM Memory in 130nm RRAM Technology

Static Random-Access Memories (SRAMs) are an integral part of the chip industry, occupying a noticeable share of the memory market due to their high performance and compatibility with CMOS technology. Traditional SRAMs lack the capability to retain data after power-off, restricting their availability in applications such as battery-powered mobile devices where non-volatility associated with zero-leakage currents is needed. This paper presents a novel Non-Volatile SRAMs (NVSRAMs) device based on Resistive RAM (RRAM) technology. A comparison between SRAM and NVSRAM performances is proposed at both cell and memory array level. The comparison covers several metrics such as power consumption, area and design complexity. The presented circuits are implemented in a 130-nm high voltage CMOS technology from STMicroelectronics.
Ecology and behaviour of a pest primate: vervet monkeys in a tourist‐lodge habitat

ummary The ecology and behaviour of vervent monkeys (Cercopithecus aethiops) living near a tourist lodge were studied during the peak tourist season in Amboseli National Park, Kenya. Lodge vervets differed from other wild vervet populations as they occurred at higher population densities, exhibited greater intragroup aggression and fed on non-natural food made available through people. The human-animal conflict of greatest concern to conservationists and wildlife managers involves the monkeys attacking and injuring tourists around the lodge. Tourists are attacked more frequently than original reports would indicate. Resume L'ecologie et le comportement du singe grivet (Cercopithecus aethiops) vivant pres d'un lodge furent etudies durant la saison touristique haute dans le Parc National d'Amboseli (Kenya). Ces grivets de lodge different des autres populations sauvages dans la mesure ou ils presentent des densites de population plus elevees, montrent une agressivite inter-groupe plus grande et se nourrissent d'aliments non-naturels fournis par les gens. Le conflit homme-animal, qui pose d'enormes problemes aux conservateurs de la nature et aux gestionnaires de la faune, inclut le fait que les singes attaquent et blessent des touristes autour du lodge. Ceux-ci sont attaques plus frequemment qu'auparavant. On presente des recommendations pour le developpement d'un programme de gestion de la faune sauvage pour controler le probleme des singes parasites vivant autour des lodges touristiques.
Enhancing High Frequency Technical Indicators Forecasting Using Shrinking Deep Neural Networks

Recent years have witnessed the successful combination of finance innovations and AI techniques in various finance applications including quantitative trading. Despite great research efforts devoted to leveraging deep learning methods for building better quantitative strategies, existing studies still face serious challenges, such as how to establish effective high frequency predictor variables, how to solve in-sample overfitting in a high-dimensional setting and how to balance the risk and return. In this paper, we propose a hybrid deep learning based high frequency technical indicators investment strategy approach enhanced by elastic net model, which called SDNN, to address the above challenges. Our main contributions are summarized as follows: i) We establish several high frequency technical indicators and investigate the statistically and trading significant in-sample and out-of-sample predictive power for each indicators. ii) we suggest a elastic net model to shrinking the dimensional of predictive factors in order to improve the out-of-sample performance in high-dimensional setting. iii) we integrate deep learning method with a Sharpe-optimised framework to achieve a risk-return balanced investment strategy. The experiments on Chinese stock market demonstrate the Sharpe-optimised SDNN, improved traditional linear method by more than 75% percent annualized return and outperformed other machine learning methods as well.
Trajectory Tracking Control for Four-Wheel Independent Drive Intelligent Vehicle Based on Model Predictive Control

For four-wheel independent drive intelligent vehicle, the Model Predictive Control (MPC) is adopted to design the trajectory tracking controller through active steering and four-wheel independent drive/brake. The control objective is to follow a desired trajectory while taking into account the control actuator constraints and vehicle dynamic stability constraints. To reduce the computational complexity, a linear time-varying model predictive controller is designed to linearize the nonlinear vehicle model locally at each sampling point. The co-simulation of CarSim/Simulink shows that the designed controller has high tracking accuracy on the basis of ensuring vehicle stability and strong robustness to vehicle velocity and road adhesion coefficient. The trajectory tracking accuracy based on MPC is better than that of the preview driver model (PDM).
The Impact of Brand Symbolism on Traveler's Intention to Visit Thailand

Symbolic consumption plays an important role in the purchase decision of consumers. Thailand was taken as an example to analyze the impact of brand symbolism on the travel intention of tourists in this paper. The result showed that tourists' perception of Thai brand symbolism could be divided into three dimensions, the individual self-expression & relationship self-consolidation, the sense of group belongingness, and the demonstration of social reputation & status. Therein, the individual self-expression & relationship self-consolidation and the sense of group belongingness played a significant positive role in the intention of tourists to visit Thailand. While the role of the social reputation & status demonstration was not enough to promote tourists to visit Thailand.
A Digital Platform for Improving Accessibility in Physical User Interfaces

In the recent decades, accessibility received increasing attention. As a result, nowadays, established principles (e.g., Universal Design) contribute to creating products that take into consideration the diverse needs and abilities of all individuals. Unfortunately, there is a gap between the digital and physical world: while websites and user interfaces are adopting accessibility principles, most devices do not support an equitable use. Specifically, individuals who are blind are not able to independently learn and operate several categories of physical products. In this paper, we propose a system for rendering the User Interface (UI) of physical devices and products accessible to individuals with disabilities, with specific regard to people who are blind. To this end, we introduce the concept of Interface Digital Twin (IDT), that is, a digital replica of the physical UI that leverages the accessibility features of mobile devices (e.g., vibration and text-to-speech) to render the interface accessible, help individuals understand its components and learn how to operate it, and support users in accomplishing their tasks on the actual device. The advantage of the proposed solution is that it can be integrated in current technology without requiring any modification. We detail the architecture of the system and we discuss its advantages and use cases.
Chemistry, Biochemistry, and Dietary Role of Potato Polyphenols. A Review

Potatoes and other plant foods accumulate a variety of secondary metabolites, including phenolic compounds, phytoalexins, protease inhibitors, and glycoalkaloids, as a protection against adverse effects of mechanical bruising, light, and injury by predators including beetles, fungi, and insects. Since these phytochemicals are consumed by insects, animals, and humans as part of their normal diet, a need exists to develop a better understanding of the role of these compounds in both the plant and the diet. To contribute to this effort, this multidisciplinary overview describes analytical and compositional aspects of phenolic compounds in potatoes; their biosynthesis, molecular genetics, and role in host-plant resistance relationships; bruising-, ferrous ion-, and heat-induced discolorations such as after-cooking blackening and blackspot formation, which affect appearance and sensory properties of potatoes; polyphenol-oxidase-catalyzed enzymatic browning reactions and their prevention by chemical and plant m.
Few-Shot Learning for Chinese Legal Controversial Issues Classification

Chinese courts organize debates surrounding controversial issues along with the gradual formation of the new procedural system. With the progress of China’s judicial reform, more than 80 million judgement documents have been made public online. Similar controversial issues identified in and among the massive public judgment documents are of significant value for judges in their trial work. Hence, homogeneous controversial issues classification becomes the basis for similar cases retrieval. However, controversial issues follow the power-law distribution, not all of them are within the labels provided by manual annotation and their categories cannot be exhausted. In order to generalize those unfamiliar categories without necessitating extensive retraining, we propose a controversial issues classification algorithm based on few-shot learning. Two few-shot learning algorithms are proposed for our controversial issues problem, Relation Network and Induction Network, respectively. With only a handful of given instances, both of them have shown excellent results on the two datasets, which proves their effectiveness in adapting to accommodating new categories not seen in training. The proposed method provides trial assistance for judges, promotes the dissemination of experience and improves fairness of adjudication.
Intergeneric Hybridization in Cichorieae, VIII. Morphology and fertility of F4 individuals of Paraixeris derticulata×Crepidiastrum platyphyllum

1) Morphology and fertility of about 100 individuals were investigated with special reference to the relation between the fertility and the morphology, or the meiotic behaviors.2) The external morphology is quite divergent, but the general appearance of the F4 population is said to be Paraixeris-type.3) There are no definite relations between the external morphology and the ertility.4) The correlation between the pollen fertility and the rate of achene setting is small (r=0.20). The low fertility of the pollen is correlated with the multivalents and the low rate of achene setting with the prematurely separating bivalents.5) The fertility was much restored in F4 in spite of an increase of meiotic irregularities.
Error Resilient Techniques for Wavelet Based Compressed Sensing

Compressed sensing (CS) is a newly developed research in multimedia compression studies. A large portion of papers in this field focuses on compression performance. In this paper, we aim at transmitting CS signals over lossy channels. We employ wavelet transform, and then apply compressed sensing to original image to obtain CS signals. Channel errors may cause severe effects to CS signals, leading to degradation to the reconstruction. We use multiple description coding (MDC) to protect CS signals beforehand, transmit the protected signals, and recover the reconstruction with the calculations from the compensations of MDC. Simulations have presented the alleviation of reconstructed image quality with proposed algorithm.
Who is Generating New Innovations? : An Analysis of Blockchain Engineers

Who is generating new innovations? Assuming that individual knowledge is deeper at the professional level, knowledge management theory has, to date, focused on how to diversify at the corporate or team level. However, with the advent of technology that can be applied to various industries, it is now thought that knowledge redundancy or knowledge overlap is needed even at the individual level. Thus, in this study, I conducted an empirical analysis of the impact of individual absorptive capacity and knowledge redundancy on the quality of innovation performance using patent data in the field of blockchain technology. Based on the analysis, I found that individual absorptive capacity enhances the quality of innovation performance and that knowledge redundancy and quality of innovation performance have an “inverted-U” relationship. This “inverted-U” shape tells us that the quality of innovation performance declines when personal knowledge becomes too specialized in the development of new advanced technology. Implications and possible directions for future research are discussed.
Pressureless Low-Temperature Sintering of Silver Nano-Solder Paste Based on Surface Activation

Pressureless low-temperature sintering technology offers new opportunities for application in 3D stacked-layer packaging and heterogeneous integration. In this paper, we introduce a new low-temperature pressureless sintering technology based on plasma activation of nano-silver paste, which can effectively remove organic matter from the solder paste. Only need to activate the solder paste for 10 s, and sinter at 200°C for 10 min, so that low-temperature pressureless sintering of solder paste can be achieved. it is believed that this facile and economical method has high potential for die attach.
A Novel Memristor-Reusable Mapping Methodology of In-memory Logic Implementation for High Area-Efficiency

The non-volatile resistive memory (memristor) is a promising device candidate for both memory and logic. The true in-memory logic computation can be realized by the stateful Memristor-Aided loGIC (MAGIC) design within memristor crossbar. The existing mapping methods targeting for the MAGIC gates however result in large crossbar array size with highly imbalanced row and column numbers. To increase the area efficiency of logic-in-memory synthesis, a new memristor-reusable mapping methodology is proposed in this paper. With the proposed mapping algorithm, the memristors storing the intermediate results are conditionally reused for multiple logic gates to guarantee a full utilization of crossbar while maintaining low operation latency overhead. A layout-friendly mapping strategy of logic gates is also developed to yield an almost-square layout. Based on the experimental results of ISCAS-85 benchmarks, the layout area of crossbar is significantly reduced by up to 95.62% on average with the proposed mapping method as compared to the previously published mapping methods. Furthermore, the proposed mapping method also reduces the product of layout area and operation latency by up to 94.03% on average as compared with the previous mapping algorithms.