Miracle-dz/UniFAR-FTUs huggingface dataset:
Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils

Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users. ACDC provides USDA NASS annual (1981–2015) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total precipitation for two different crop growing seasons from the PRISM weather data are included. Soil characteristic data from USDA-NRCS gSSURGO are also provided for each county in the 48 contiguous US states. All weather and soil data are processed to include only data for land being used for non-forestry agricultural uses based on the USGS NLCD land cover/land use data. This paper explains the numerical and geo-computational methods and data generating processes employed to create ACDC from the original data sources. Essential considerations for data management and use are discussed, including the use of the agricultural mask, spatial aggregation and disaggregation, and the computational requirements for working with the raw data sources.
Quantum Dots Applications

A quantum dot is a particle of matter so small that the addition or removal of an electron changes its properties in some useful way. All atom s are, of course, quantum dots, but multi-molecular combinations can have this characteristic. Quantum dots typically have dimensions measured in nanometers, where one nanometer is 10 9 meter or a millionth of a millimeter. In this paper, we will discuss the quantum dot and their application. Copyright © 2016 IFSA Publishing, S. L.
The Production of Clitic Left Dislocations by ItalianS peaking Children and the Role of Intervention

The present study investigates the acquisition of Clitic Left Dislocation structures (ClLD) in Italian, in the context of an elicited production task aiming at testing the production of topicalized structures and precisely the use of left peripheral topic positions (e.g. Object-Subject-cl-V). In order to elicit such structures, we manipulated the discourse conditions to create a felicitous informational context for the use of overt left-dislocated object topics, namely, we adopted questions that introduced one or more patient characters in the discourse (e.g. What is happening to Xpatient? ). Patient-oriented questions provide a suitable context for eliciting a structure that topicalizes the patient referent of a transitive verb. In previous research, this type of experimental context has been used to test the production of passives and alternative topic structures, in English and other languages (English: Pinker Lebeaux & Frost, 1987, a.o.; Sesotho, Demuth, Monoi & Machobane, 2010; Italian, Del Puppo & Pivi, 2015, Manetti, 2013,Volpato, Verin & Cardinaletti, 2016; Catalan, Prat-Sala & Hahn, 2007). As for Italian, the question in (1a), introducing the patient (the dog) in the discourse, gives rise to two felicitous answers, a passive (1b), or a sentence with an active verb and an object clitic referring to the topic patient (1c). This second option has been found to be the most typical answer in pre-school-aged and school-aged children, whose choice differs from the adults’ overwhelming preference for the passive (Del Puppo & Pivi, 2015; Manetti, 2013; Volpato et al., 2016).
Printed Endfire Beam-Steerable Pixel Antenna

A novel design for an endfire beam-steerable planar printed pixel antenna is described. A key performance highlight of the antenna is its ability to beam steer through 300° in the azimuth plane without using any phase shifters. The design consists of a printed half-wavelength driven element and balun with a rectangular grid of parasitic pixels, switches, lumped elements, and dc bias lines on the same layer as the driven element. The pixels can be connected/disconnected together by means of switches, resulting in reconfigurability of the endfire beam direction. Simulation and experimental results are provided for a design operating at 2.5 GHz when p-i-n diode-based switches are used and its bandwidth is approximately 200 MHz (8%). The measured gain for different configurations at 2.5 GHz is 7.5 ± 2 dBi when the endfire beam is steered through a steerable range of over 300° in the azimuth plane. In addition, the effects of the switches on efficiency are also provided. Due to the potential performance of the proposed antenna, it can be considered as a possible candidate for biomedical applications, wearable systems, wireless powered communications, and future wireless communication applications.
Series Discovery Algorithms for Embedded Uniqueness Constraints

Data profiling is an enabler for efficient data management and effective analytics. The discovery of data dependencies is at the core of data profiling. We conduct the first study on the discovery of embedded uniqueness constraints (eUCs), a recently introduced class of data dependencies that represent unique column combinations embedded in complete fragments of incomplete data. We show that the decision variant of finding a minimal eUC is NP-complete and W[2]-complete in the input size. We also characterize the maximum possible solution size, and show which families of eUCs attain that size. The size is much larger than for the special case of minimal SQL uniques. Despite these challenges, our column-efficient, rowefficient, and hybrid discovery algorithms perform effectively and fast on real-world benchmark and synthetic data. We also propose the computation of small semantic samples of given data sets as a new direction in data profiling. These samples satisfy the same eUCs as the given data set and we showcase how discovery and sampling together provide a pathway towards effective data cleansing and business rule acquisition.
Abscisic Acid Antagonizes Ethylene-Induced Hyponastic Growth in Arabidopsis1[OA]

Ethylene induces enhanced differential growth in petioles of Arabidopsis (Arabidopsis thaliana), resulting in an upward movement of the leaf blades (hyponastic growth). The amplitude of this effect differs between accessions, with Columbia-0 (Col-0) showing a large response, while in Landsberg erecta (Ler), hyponastic growth is minimal. Abscisic acid (ABA) was found to act as an inhibitory factor of this response in both accessions, but the relationship between ethylene and ABA differed between the two; the ability of ABA to inhibit ethylene-induced hyponasty was significantly more pronounced in Col-0. Mutations in ABI1 or ABI3 induced a strong ethylene-regulated hyponastic growth in the less responsive accession Ler, while the response was abolished in the ABA-hypersensitive era1 in Col-0. Modifications in ABA levels altered petiole angles in the absence of applied ethylene, indicating that ABA influences petiole angles also independently from ethylene. A model is proposed whereby the negative effect of ABA on hyponastic growth is overcome by ethylene in Col-0 but not in Ler. However, when ABA signaling is artificially released in Ler, this regulatory mechanism is bypassed, resulting in a strong hyponastic response in this accession.
Aggregating Local Descriptors for Epigraphs Recognition

In this paper, we consider the task of recognizing epigraphs in images such as photos taken using mobile devices. Given a set of 17,155 photos related to 14,560 epigraphs, we used a k-NearestNeighbor approach in order to perform the recognition. The contribution of this work is in evaluating state-ofthe-art visual object recognition techniques in this specific context. The experimental results conducted show that Vector of Locally Aggregated Descriptors obtained aggregating SIFT descriptors is the best choice for this task.
USER CONTEXT MODELS : A FRAMEWORK TO EASE SOFTWARE FORMAL VERIFICATIONS

: Several works emphasize the diﬃculties of software veriﬁcation applied to embedded systems. In past years, formal veriﬁcation techniques and tools were widely developed and used by the research community. However, the use of formal veriﬁcation at industrial scale remains diﬃcult, expensive and requires lot of time. This is due to the size and the complexity of manipulated models, but also, to the important gap between requirement models manipulated by diﬀerent stackholders and formal models required by existing veriﬁcation tools. In this paper, we ﬁll this gap by providing the UCM framework to automatically generate formal models used by formal veriﬁcation tools. At this stage of our work, we generate behavior models of environment actors interacting with the system directly from an extended form of use cases. These behavioral models can be composed directly with the system automata to be veriﬁed using existing model checking tools.
HOW IMPLEMENTATION LEVEL OF PL RESPONSE SYSTEM AFFECTS ON CUSTOMER ’ S BUYING INTENTION

In the meantime, Korea has only produced and sold product that were proven safe through various certification systems before market introduction. The safety of these products are being managed through market inspection systems after the products are supplied in the market, through constant safety inspections and recall of defective products. However, in spite of the safety management policies of government agencies and corporations, the damage caused by the distribution of unsecured products constantly occurs and the people are not completely free from the anxiety of the product accidents. Therefore, it is necessary to introduce an evaluation system that regularly checks and improves the level of the company's product liability (PL) response activities. This study used SPSS to analyze exploratory factors and reliability and AMOS to confirm a hypothesis through exploratory factor and path analysis. We found out that only the strategy and technology of companies have significant effects on a consumer's perception and utilization intention, among the detailed implementation plans of PL response system presented in previous research. In addition, consumers' perceptions have a significant effect on consumers' intention to use, and consumers' perception and utilization intention have a significant effect on the purchase intention of a product.
What Actuaries Should Know About Nonparametric Regression With Missing Data

To predict one variable, called the response, given another variable, called the predictor, nonparametric regression solves this problem without any assumption about the relationship between these two random variables. Traditional data, used in nonparametric regression, is a sample from the two variables; that is, it is a matrix with two complete columns. In practical applications some observations in that matrix may be missed, and what can be done in this case is the subject of this paper. Three possible scenarios are considered. First, if the probability of missing an observation depends on its value then no consistent estimation is possible. Second, if all predictors are available and the probability of missing the response depends on value of the predictor then a nonparametric regression, based on complete cases, is optimal. Third, if all responses are available and the probability of missing the predictor depends on value of the response then a special estimation procedure, based on all available observations, is optimal. The results are illustrated via examples, and possible extensions are discussed.
The Effect of Thematic Roles on Pronoun Use and Frequency of Reference Continuation

Goal and source thematic roles have been shown to influence pronoun resolution, an effect that has been linked to the reader's tendency to focus on the consequences of the event (Stevenson, Crawley, & Kleinman, 1994). Using a story continuation experiment, I show that speakers also tend to use pronouns more often for goal entities than source entities. Furthermore, the experiment and a corpus analysis reveal that speakers tend to refer more frequently to goal entities than source entities overall. I use the parallel findings about pronoun use and frequency of reference continuation to argue that referent accessibility is influenced by the comprehender's estimate of the likelihood that a referent will be continued in the discourse.
’ s repository of research publications and other research outputs Semantometrics : Towards Fulltext-based Research Evaluation Conference or Workshop Item

Over the recent years, there has been a growing interest in developing new research evaluation methods that could go beyond the traditional citation-based metrics. This interest is motivated on one side by the wider availability or even emergence of new information evidencing research performance, such as article downloads, views and Twitter mentions, and on the other side by the continued frustrations and problems surrounding the application of purely citationbased metrics to evaluate research performance in practice. Semantometrics are a new class of research evaluation metrics which build on the premise that full-text is needed to assess the value of a publication. This paper reports on the analysis carried out with the aim to investigate the properties of the semantometric contribution measure [1], which uses semantic similarity of publications to estimate research contribution, and provides a comparative study of the contribution measure with traditional bibliometric measures based on citation counting.
Learned Resourcefulness, Anxiety and Depression Levels in Patients with Chronic Pain

Background: Pain is the main reason for seeking medical assist nce, and is a general complaint in almost all kinds of diseases. There are many studies on the re lationship between pain and mental problems. Howeve r, th role of individual coping methods in the treatment of pain is undeniable. One of these methods of copi ng is learned resourcefulness. This study evaluates the learned resourcefulness, a nxiety and depression levels in patients with chronic pain who were admitted to alg olo y outpatient clinics. Methods: The study sample included 151 patients with chronic pain who were admitted to the algology outpatient clinic. The Introductory Information For m, Learned Resourcefulness Scale and Hospital Anxie ty and Depression Scale were used for the collection of da ta. Results: The mean anxiety scores, mean depression scores, a nd mean learned resourcefulness scores were 10.42±3.98, 9.80±3.78 and 108.20±18.90, respectivel y. As the level of learned resourcefulness increase d, anxiety and depression levels decreased. Conclusion: Based on our study results, we recommend the organi zation of education and activity programs and the evaluation of mental disturbances such as a nxiety and depression with pain and the enhancement of coping skills.
Comparison of adult manifestations of schizophrenia with onset before and after 15 years of age

We examined 19 adult cases of early‐onset schizophrenia (onset before age 15) and 19 controls (schizophrenia with onset between age 15 and 35). Being matched by sex, length of hospitalization and living environment while the present age between groups showed no difference, patients were compared on psychopathological symptom measures and intelligence quotient (IQ). Results showed that early‐onset cases scored significantly higher on Scales for the Assessment of Negative Symptoms and had lower performance IQ. No group difference in positive symptoms measure from Brief Psychiatric Rating Scale and full IQ was noted. It suggested that when early‐onset patients grew up, phenomenologically, they resembled the schizophrenia of usual early‐adult onset in the positive symptom dimension, but with more negative symptoms, which may be fundamental in this group of patients.
A versatile supramolecular nanoadjuvant that activates NF-κB for cancer immunotherapy

Although powerful adjuvants hold promise of vaccines for cancer immunotherapy, cumbersome preparation processes, elusive mechanisms and failure to induce T cell responses have largely limited their clinical translation. Due to their ease of synthesis, good biocompatibility and designable bioactivity, peptide derivatives-based supramolecular nanomaterials have attracted increasing interest in improving the immunogenicity of cancer vaccines. Methods: Herein, we synthesized an NF-κB-activating supramolecular nanoadjuvant (3DSNA) that is prepared by pH-triggering self-assembly of a positively charged D-configurational peptide derivative. The immunostimulatory activity of 3DNSA was explored in vitro and in vivo. Results: 3DSNA can strongly absorb the model antigen (ovalbumin, OVA) through electrostatic interaction. Then, 3DSNA promotes ingestion and cross-presentation of OVA, upregulation of costimulatory factors (CD80 and CD86) and secretion of proinflammatory cytokines (IL-6 and IL-12) by dendritic cells (DCs), accompanied by activation of the innate immune response (NF-κB signaling), resulting in long-term antigen-specific memory and effector CD8+ T cells response. When compared with conventional aluminum hydroxide adjuvant and the corresponding L-configurational supramolecular nanoadjuvant (3LSNA), 3DSNA-adjuvanted OVA (3DSNA+OVA) significantly prevents oncogenesis in naïve mice with a complete response rate of 60 %, restrains the tumor growth and prolongs the survival of melanoma-bearing mice. Conclusion: These findings demonstrate that 3DSNA is a promising neo-adjuvant that enables various vaccines to be therapeutic for many important diseases including cancer.
CONSEQUENCES OF PROLONGED AGRONOMIC PRACTICES: FAUNAL COMPOSITION AND ABUNDANCE IN CULTIVATED AND FALLOWED SOILS

Composition and abundance of soil fauna were compared between continuously cultivated and fallowed soils with a view to determining the impact of prolonged agronomic activities on biodiversity. The cultivated soils had been under continuous use for over a decade for arable crop production whereas the fallowed soils had been undisturbed for about twenty years. Soil samples were collected from selected plots using a soil auger and standard methods were applied in the laboratory to extract different types of soil fauna. Pitfall traps were also set up in the plots to collect surface-dwelling arthropods. Members of three phyla were identified in the study, namely, Annelida, Arthropoda (Class Arachnida, Chilopoda, Diplopoda, Entognatha, Insecta, Malacostraca, Pauropoda) and Nematoda (Class Adenophorea, Enoplea, Secernentea, Tylenchoidea). Nematodes were the most abundant fauna (50.7%) in sampled soils followed by Collembola (Entognatha) (15.2%) and Acari (Arachnida) (12.3%) while Pseudoscorpionida (Arachnida) (0.1%) was the least abundant. Generally, fallowed soils were significantly richer in soil fauna compared to cultivated ones. It was concluded that agronomic practices, especially on a continuously-cropped soil, would have a negative impact on faunal biodiversity. Environment-friendly farming systems that entail minimum tillage of the soil, adoption of non-chemical pest control strategies and regular soil tests were suggested as viable ways of conserving faunal biodiversity.
Modular Three-Phase Permanent-Magnet Brushless Machines for In-Wheel Applications

This paper describes the merits of a recently developed form of a three-phase permanent-magnet (PM) brushless AC machine in which the concentrated coils of each stator phase are wound either on adjacent teeth or on alternate teeth. Such a machine is often referred to as modular and offers a number of significant advantages over conventional PM brushless machines. For example, it results in a smaller number of slots for a given number of poles, which is a distinct manufacturing advantage, and yields a fractional number of slots per pole, which is conducive to low cogging torque. It also enables a significant increase in the achievable machine inductance to facilitate constant power operation over a wide speed range by flux weakening. However, the torque in modular machines is developed by the interaction of a high-order stator space harmonic MMF with the PMs, since the fundamental stator MMF has fewer poles than the PM rotor. Hence, significant eddy currents may be induced in the rotor by the fundamental and low-order space harmonic MMFs. The eddy-current loss can, however, be reduced by segmenting the magnets. Given that modular machines combine the high specific power and efficiency of conventional PM brushless machines with a high machine inductance, to enable a wide speed range, constant power operation, their potential for low manufacturing cost, and the fact that they have inherently low cogging torque, they are eminently suitable for in-wheel traction applications.
Impact of Human Resource strategies on Perceived Organizational Support at Jordanian Public Universities

The study aimed to identify the effect of Human Resource strategies on perceived organizational support at public Jordanian Universities such that factors that may assist in improving or worsening work performance can be identified, moreover. The population of the study was all the universities administrative staff in northern Jordanian public universities with 4908 staff members. The random sample of the study was 350 staff members (7%) of the study population. The study included a number of results, Among which the existence of a statically significant effect of the human resources strategies (human resource planning, appointment and selection, training and development, incentivesâ€™ and rewards and performance evaluation on perceived organizational support.
Fluorescent Functionalized Mesoporous Silica for Radioactive Material Extraction

Mesoporous silica with covalently bound salicylic acid molecules incorporated in the structure was synthesized with a one-pot, co-condensation reaction at room temperature. The as-synthesized material has a large surface area, uniform particle size, and an ordered pore structure as determined by characterization with transmission electron microscopy, thermal gravimetric analysis, and infrared spectra, etc. Using the strong fluorescence and metal coordination capability of salicylic acid, functionalized mesoporous silica (FMS) was developed to track and extract radionuclide contaminants, such as uranyl [U(VI)] ions encountered in subsurface environments. Adsorption measurements showed a strong affinity of the FMS toward U(VI) with a Kd value of 105 mL/g, which is four orders of magnitude higher than the adsorption of U(VI) onto most of the sediments in natural environments. The new materials have a potential for synergistic environmental monitoring and remediation of the radionuclide U(VI) from contaminated subsurface environments.
A High-Order Finite Volume Method for 3D Elastic Modelling on Unstructured Meshes

In this chapter, a new efficient high-order finite volume method for 3D elastic modelling on unstructured meshes is developed. The stencil for the high-order polynomial reconstruction is generated by subdividing the relative coarse tetrahedrons. The reconstruction on the stencil is performed by using cell-averaged quantities represented by the hierarchical orthonormal basis functions. Unlike the traditional high-order finite volume method, the new method has a very local property like the discontinuous Galerkin method. Furthermore, it can be written as an inner-split computational scheme which is beneficial to reducing computational amount. The reconstruction matrix is invertible and remains unchanged for all tetrahedrons, and thus it can be pre-computed and stored before time evolution. These special advantages facilitate the parallelization and high-order computations. The high-order accuracy in time is obtained by the Runge-Kutta method. Numerical computations including a 3D real model with complex topography demonstrate the effectiveness and good adaptability to complex topography.