Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Rainout Shelter's Design for Well‐Defined Water Stress Field Phenotyping of Crop Plants

Field phenotyping to identify water stresstolerant crop genotypes is challenging due to uncertainty in the timing of rainfall. rainout shelters offer a way of establishing controlled water stress environments by excluding untimely rain events. Here, we present a detailed description of custom-designed rainout shelters. These shelters are fully automated and portable. The rainout shelters were constructed from steel arch frames and polyethylene cladding, which move on plastic road barriers. The three connected shelters, each 20 ́ 10 m, are rain sensor activated, solar powered and equipped with a motion sensor camera for remote monitoring. These rainout shelters have proven to be effective tools for field water stress phenotyping. S. Kant, E. Thoday-Kennedy, S. Joshi, J. Vakani, J. Hughes, L. Maphosa, Agriculture Victoria, Grains Innovation Park, 110 Natimuk Road, Horsham, VIC 3400, Australia; A. Sadler, Argosee Greenhouse Technology Pty Ltd., 6 Laurence Road, Walliston, WA 6076, Australia; M. Menidis, A. Slater, G. Spangenberg, Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Rd, Bundoora, VIC 3083, Australia. Received 15 Aug. 2016. Accepted 11 Sept. 2016. *Corresponding author: (surya.kant@ ecodev.vic.gov.au). Assigned to Associate Editor Jose Rotundo. Published in Crop Sci. 57:327–331 (2017). doi: 10.2135/cropsci2016.08. 0677 © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA This is an open access article distributed under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Published October 26, 2016
Interpretable and Steerable Sequence Learning via Prototypes

One of the major challenges in machine learning nowadays is to provide predictions with not only high accuracy but also user-friendly explanations. Although in recent years we have witnessed increasingly popular use of deep neural networks for sequence modeling, it is still challenging to explain the rationales behind the model outputs, which is essential for building trust and supporting the domain experts to validate, critique and refine the model. We propose ProSeNet, an interpretable and steerable deep sequence model with natural explanations derived from case-based reasoning. The prediction is obtained by comparing the inputs to a few prototypes, which are exemplar cases in the problem domain. For better interpretability, we define several criteria for constructing the prototypes, including simplicity, diversity, and sparsity and propose the learning objective and the optimization procedure. ProSeNet also provides a user-friendly approach to model steering: domain experts without any knowledge on the underlying model or parameters can easily incorporate their intuition and experience by manually refining the prototypes. We conduct experiments on a wide range of real-world applications, including predictive diagnostics for automobiles, ECG, and protein sequence classification and sentiment analysis on texts. The result shows that ProSeNet can achieve accuracy on par with state-of-the-art deep learning models. We also evaluate the interpretability of the results with concrete case studies. Finally, through user study on Amazon Mechanical Turk (MTurk), we demonstrate that the model selects high-quality prototypes which align well with human knowledge and can be interactively refined for better interpretability without loss of performance.
Estrés laboral y salud: Indicadores cardiovasculares y endocrinos

Title: Work stress and health: Cardiovascular and endocrine indicators. Abstract: Nowadays, work stress affects to a great part of the working population. In consequence there was an increasing number of publica- tions using different methodologies and background. However, the psy- chobiological mechanism that is under work stress and disease relationship is not clear yet. The main objective of this work is to review the main aspects of the work stress investigation from an interdisciplinary point of view pointing out some of the biological variables that are implied. First, a brief introduction will be made, summing up the different methodologies employed. After this, we will describe the relationship between work stress and cardiovascular disease, and concretely the role of blood pressure. Furthermore, we will show the evidence between work stress and cortisol levels, concretely the cortisol awakening response as a marker of chronic stress. Finally, an explanation of the possible mechanisms involved in the work stress and disease relationship will be exposed.
On Gibbs Measures of the Potts Model with Three Competing Interactions on Cayley Tree of Order 3

In this paper, we consider the Potts model with competing interactions on the Cayley tree of order three. We give the Potts model on the Cayley tree and its recursion relation. We construct the Gibbs states corresponding to the model by using Markov random field method. We calculate the critical curve, such that there is a phase transition for the model. We show that there are phase transition of the model for some given parameters. We extend the results obtained by Akin and Temir (Condensed Matt. Phys. 14, 23003 (2011)).
Understanding the innovation adoption process of construction clients

Although the role of clients in stimulating construction innovation seems to be controversial, little has been known about their innovation adoption behaviour. This paper presents first results of an ongoing research project the aim of which is to shed more light on the adoption processes of construction clients. We build up a conceptual framework that describes innovation adoption as a communication process. Furthermore, we highlight and discuss the main findings of a case about the adoption of a temporary construction for the maintenance of a motorway bridge. Thus far we conclude from our findings that a more accelerated diffusion of construction innovation requires that the client has a thorough understanding of the problem an innovation is intended to solve. Furthermore, there must be improved dissemination and availability of information about similar solutions applied in previous projects and, for large-scale structural changes, ideas must be considered either in advance or at an early stage of a project.
The discrimination and characteristics of continuing current in Positive CG flash in Beijing

Continuing current is usually defined as the relatively low-level current of typically tens to hundreds of amperes that immediately follows a return stroke, in the same channel to ground [1]. The duration of continuing currents is very long, typically lasts for tens to hundreds of milliseconds , therefore, it is responsible for much of the serious damage due to lightning, including forest fires, burned holes in the metal skins of aircraft and certain kinds of power line damage [2-4].
A SURVEY ON DIFFERENT AUTHENTICATION SCHEMES IN CLOUD COMPUTING ENVIRONMENT

Cloud computing technology has been a new buzzword in the IT industry and expecting a new horizon for the coming world and it is also considered as a pinnacle of computing technology. Business and IT professional is progressively marching towards cloud generations as it consists of an internet-based ubiquitous computing technology and on-demand network model, which consists of software and provides the services like computation, data access, and storage service that don’t have need of user’s facts of the physical locality and configuration of the system that delivers the services. The paradigm of cloud computing is new, keeps everyone connected on-the-go and offers a plethora of services over the internet, hence, data security is paramount in cloud computing environment to have an access to these resources securely. Purloining an individual’s legitimacy is the most insidious way of invading user’s privacy; hence, authentication technique is need of the hour. Authentication technique is an unparalleled key technology for information security, which is a mechanism to ascertain proof of identities of the user to get access to information safely and mitigate the security risks in the cloud environment. In this paper, we focus on authentication techniques, which is the most challenging and promising component and there are three main approaches to user authentication are knowledge-based, possession-based, and biometric-based. In this paper, a comprehensive review and assessment of the various authentication approaches, strategies, and mechanisms has been done for a deep understanding of a secure and sturdy authentication process prevailing in a cloud environment.
Analysis and Proof‐of‐Concept Experiment of Liquid‐Piston Compression for Ocean Compressed Air Energy Storage (OCAES) System

An analysis and a proof‐of‐concept experiment of liquid‐piston compression were conducted for a table‐top Ocean Compressed Air Energy Storage (OCAES) prototype. A single‐ cylinder‐type piston surrounded by water was modeled and analyzed based on convection heat transfer with fully developed internal flow, the assumption adopted by earlier liquid piston study in literature. Transient numerical results of this model were calculated for a polytropic compression with different polytropic index values for 2.5‐second stroke. Also, an experimental model of the liquid piston was built with two different materials, polycarbonate and aluminum alloy, for a compression chamber. Temperature data were measured at six different stroke times to examine any difference in heat transfer rates affected by stroke frequency. The temperature within each cycle was measured during compression from 1 bar to 2.2 bars. It was found that longer stroke time induces smaller temperature rise in the air. The local temperature rise was observed to be 80 °C at 2.5‐second stroke and 7 °C at 40‐second stroke. While the simulations predict a temperature rise of 48.6 °C for a compression stroke time of 2.5 seconds, the temperature rise calculated for adiabatic compression was found to be 98.8 °C. This implies that the heat transfer characteristics of a liquid piston compression process are effective in reducing the air temperature. The experimental results with longer stroke times proved a near‐ isothermal nature of the liquid piston compression system. Overall, the experimental study outlined in this paper not only confirms the near‐isothermal nature of the liquid piston system but also enables further study of the expansion cycle using the liquid‐piston concept. More importantly, the current study paves a way for future work on a larger scale OCAES system demonstration based on liquid‐piston concept.
Development of an 1-Seg ISDB-T Receiver Using Low-cost SDR Hardware

This paper presents the development of an onesegment (1-seg) digital TV receiver for the Integrated Services Digital Broadcasting Terrestrial (ISDB-T) standard, based on Software Defined Radio (SDR). The proposed receiver works in real-time and requires a computer and a low-cost device known as RTL-SDR, for the RF front-end, mixer and analog to digital conversion stages. The rest of signal processing were all done in software, which provides an important framework for study of the ISDB-T standard in practice. Keywords— ISDB-T, SDR, OFDM, RTL-SDR.
A Word Stemming Algorithm for Hausa Language

Hausa, a highly inflected language, needs a worthy stemming approach for efficient information retrieval (IR). However, there is a limited or unavailable study to stemming in the language. Stemming refers to the systematic way of reducing a word to its base or root form. It is a crucial aspect in the field of natural language processing (NLP) such as text summarization and machine translation. As such, this study inspirationally presents an automatic word stemming system for Hausa language with a view to contributing to the field of electronic text processing, as well as NLP, in general. The proposed method is a modification of Porter's algorithm to fit Hausa morphological rules. The system has an accuracy of 73.8% for implementation with 2573 words extracted from four different articles from Hausa Leadership newspaper. If immensely improved over time (employing more exceptional cases in future work), it would inspire the development of more tools for the language. Hence, the language would rapidly adopt the advancement in technology.
IMPROVING ROBOTIZED NON DESTRUCTIVE TESTING FOR LARGE PARTS WITH LOCAL SURFACE APPROXIMATION AND FORCE CONTROL SCHEME

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. IMPROVING ROBOTIZED NON DESTRUCTIVE TESTING FOR LARGE PARTS WITH LOCAL SURFACE APPROXIMATION AND FORCE CONTROL SCHEME Olivier Patrouix, Sébastien Bottecchia, Joseph Canou
Amelioration Effects of Vitamin E , Melatonin , L-carnitine , and Atorvastatin , on Destructive Effects of Busulfan in the Testes of Male Rats : A Gene Expression Evaluation

According to toxicity of various types of cancer treatments on different kind of cells with high division activities such as germ cells, antioxidants may protect these cells in testes against the toxic effects of the chemotherapeutic drugs. For this purpose, 24 h after busulfan treatment, 30 adult male wistar-rats were divided to six groups. Intra-peritoneally administrations of normal saline in control group and DMSO (as a busulfan solvent) in DMSO group were performed daily for 6 weeks beside the treatment contain vitamin E (Vit-E group), L-carnitine and melatonin (LM group), atorvastatin and melatonin (AM group), atorvastatin, L-carnitine, and melatonin (ALM group). After decapitation and removal of the testes, molecular evaluations were performed by the relative abundance measurement of DAZL, Bcl2, and Casp3 transcripts. The results of this study exhibited high level of expression of DAZL in Vit-E treated rats compared to control counterparts (P<0.01). The expression level of Bcl2 is significantly down-regulated in LM (P<0.008), and ALM groups (P<0.001), and the relative abundance of Casp3 transcripts was significantly lower in AM (P<0.001) and ALM (P<0.007) than that of control group. As well as, there was significant high expression of this gene in Vit E-treated rats compared to the rats of control group. In conclusion, busulfan destructive effects were moderated with Vit-E administration through regulation of the expression of DAZL. The other antioxidants used in different combinations had not amelioration effects on spermatogenesis in busulfan-induced male rats, though the positive effects of some of these antioxidants on apoptosis reduction.
Origin of the periodic structure in the conductance curve of gold nanojunctions in hydrogen environment

Zhuoling Jiang,1 Hao Wang,1 Stefano Sanvito,2 and Shimin Hou1,3,* 1Centre for Nanoscale Science and Technology, Key Laboratory for the Physics and Chemistry of Nanodevices, Department of Electronics, Peking University, Beijing 100871, China 2School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland 3Beida Information Research (BIR), Tianjin 300457, China (Received 4 January 2016; published 31 March 2016)
Predicting the yield of spring wheat by weather indices in Finland: implications for designing weather index insurances

This paper quantifies the spring wheat yield conditional on temperature- and rainfall-based weather indices in Finland. The estimating equations are standardized and simplified so that they provide information for designing tradable contracts. A simple basket of weather indices, consisting of growing degree days, night frost and rainfall measures, has the potential to hedge about 38% of the wheat grower yield risk, with the remaining 62% being left as uninsured basis risk. Our results have several important implications for the design of simple and tractable weather index-based insurance contracts. The data suggest that the marginal products of weather events have a large variation across time and they are the most significant within certain critical time periods. Therefore, the weather events triggering the indemnity payments should be bounded within certain critical time regimes over their distribution along the growing season.
Business process improvement using Object‐Process Methodology

For decades, business process improvement (BPI) has been a persistent and expensive concern that spans across many industry sectors. We present OPM‐BPI—a model‐based method to improve business processes using ISO 19450—Object‐Process Methodology (OPM). The approach compares favorably to state‐of‐the‐art business process languages and approaches, such as Business Process Modeling Notation (BPMN). An aviation manufacturing company case study of safely removing a part from an aircraft and reinstalling it demonstrates the method. We show how using OPM‐BPI enables removing a large portion of the supporting objects, and how related processes can be eliminated or merged, achieving considerable model simplification that represents a significantly improved, more effective and less wasteful business process.
Effects of Cooking and Germination on Physiochemical Properties and Sensory Attributes of African Walnut (Tetracarpidium conophorum)

Effect of cooking and germination on physiochemical and sensory attributes of African walnut were investigated. Result proved that the protein (14.90%) carbohydrates (15.39%) fat (45.84%) ash (3.5%) and fibre (1.17%) contents of the raw samples were increased by germination but subsequently decreased as germination progresses. Cooking was found to be more effective in reduction of antinutrients than germination thereby leading to enhanced bioavailability of most essential minerals (calcium, magnesium, sodium, phosphorus etc). Results also indicate significant (P<0.05) improvement on the functional properties (water absorption capacity, oil absorption capacity) of the raw sample by cooking and germination. Evaluation of sensory attributes showed that cooked walnut was most preferred to germinated and boiled walnut in terms of taste, after taste and general acceptability.
A preliminary sentinel surveillance report on antibiotics resistance trend of Streptococcus pyogenes in Kolkata region, India.

Streptococcus pyogenes is an important cause of serious bacterial infection in both adults and school-going children. On the present scenario of emerging changes observed in drug resistant pattern of S. pyogenes , this study was undertaken, from October2008 to July2009, to evaluate the trend of resistance pattern to various antibiotics by the Kirby-Bauer method of disk diffusion in Kolkata, India. A total of 115 isolates of S. pyogenes were identified by standard procedure. All strains were susceptible to penicillin, cephotaxime, clindamycin and vancomycin. 60 isolates were resistant to tetracycline. Four isolates have been found to be resistant to erythromycin, which is a very rare occurrence in West Bengal. This finding may be alarming for emergence of resistance against this safe drug, which may complicate the treatment of patients who are allergic to penicillin.
Adversarial Stability Training in Neural Machine Translation of Chinese-to-English Text

A major challenge for neural machine translation (NMT) models is truly understanding semantics, creating common issues such as difficulty parsing long sentences and different performance on semantically similar inputs (8). This is especially relevant to Chinese-to-English translation because Chinese contains many synonyms and a relative lack of word order rules, resulting in a wide variety of ways to express sentiments. Traditional techniques to combat this problem incorporate specific domain knowledge or hand-crafted features and models, which can be time-consuming and difficult to generalize. We investigate the effectiveness of adversarial stability training in improving NMT robustness and decreasing the time manually analyzing linguistic features. This technique adds Gaussian noise to training data and incorporates a discriminator which encourages encoding outputs from noisy and regular data to be indistinguishable. We build a hybrid and more robust NMT model by implementing the adversarial stability training framework and combining it with the state-of-the-art Transformer model. To achieve this, we build upon Google’s Transformer model and redesign the framework to incorporate a new CNN discriminator model that we implement, as well as a hybrid, joint loss function we create to facilitate similar behavior from encoder and decoder on an original input and its perturbed counterpart. Through a number of experiments and ablation studies conducted, we are thrilled to see that our model becomes more robust towards perturbations in data and model performance is significantly improved.
Deposition Methods for Microstructured and Nanostructured Coatings on Metallic Bone Implants: A Review

A review of current deposition processes is presented as they relate to osseointegration of metallic bone implants. The objective is to present a comprehensive review of different deposition processes used to apply microstructured and nanostructured osteoconductive coatings on metallic bone implants. Implant surface topography required for optimal osseointegration is presented. Five of the most widely used osteoconductive coating deposition processes are reviewed in terms of their microstructure and nanostructure, usable thickness, and cost, all of which are summarized in tables and charts. Plasma spray techniques offer cost-effective coatings but exhibit deficiencies with regard to osseointegration such as high-density, amorphous coatings. Electrodeposition and aerosol deposition techniques facilitate the development of a controlled-microstructure coating at a similar cost. Nanoscale physical vapor deposition and chemical vapor deposition offer an alternative approach by allowing the coating of a highly structured surface without significantly affecting the microstructure. Various biomedical studies on each deposition process are reviewed along with applicable results. Suggested directions for future research include further optimization of the process-microstructure relation, crystalline plasma spray coatings, and the deposition of discrete coatings by additive manufacturing.