Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECTS OF DIFFERENT RATES OF STALK MULCHING OF MAIZE ON SOIL ORGANIC CARBON AND EARTHWORM BIOMASS IN MAIZE FIELD

Effects of no-tillage with different rates of stalk mulching on infrared spectral characteristics of soil organic carbon, soil lignin content, lignin-derived carbon content in soil organic carbon, maize (Zea mays L.) root characteristics and earthworm biomass, were carried out in the long-term location test area of Dehui country, Jilin province. The results showed that after no-tillage planting with straw mulching in 2016-2017, the infrared absorption value of organic carbon, the content of soil lignin and lignin source carbon decreased with the deepening of soil layer, the higher the straw coverage, the higher the soil organic carbon, the plant root density and the earthworm biomass. In the 0 5 cm soil layer, the larger the coverage, the higher the content of lignin and lignin source carbon under no-tillage treatment. In the 5-20 cm soil layer, the content of lignin and lignin source carbon were highest by 378 and 17 mg/g under 67% straw mulching. It indicated that no-tillage straw mulching could effectively increase soil organic carbon, plant root density and soil earthworm biomass, the greater the coverage, the more obvious the effect would be. Under the stalk mulching treatment, most of the organic carbon was input into the soil, while the alkane carbon content was less.
Finding semantic correlation in structured data from unstructured notes

In financial reports, sometimes, unstructured notes explain the nuances of the financial data described in structured form. The problem of interest here is to parse such unstructured notes and find the semantic correlation that it implies in the structured data. While techniques like Named Entity Recognition have been used for extracting information from unstructured text, it has been observed that in order to discover meaningful semantic correlation in structured data, it is important to parse the unstructured notes in accordance with the terms and relations specified in the ontology of the domain. In this paper we examine this problem and present a mechanism to address the extraction of relations from unstructured notes and determine the semantic correlation of such relations with the structured data. Once such correlations are established, it becomes easier to understand the structured data, or have an automated question-answering system respond to user queries.
EFFECTS OF GLUCOSE BASE FORMULATION OF TRICHODERMA VIRIDE ON SEED GERMINATION AND SEEDLING PARAMETERS OF TOMATO (SOLANUM LYCOPERSICUM)

Seed germination is the critical stage in the life cycle of crop plants. Environmental factors such as light, temperature, nutrient and water can regulate the seed germination. In the present study, influence of glucose along with the antagonistic fungus Trichoderma viride was tested for tomato seed germination in a complete randomized block design. Seed germination percentage, root length, shoot length and seedling vigour index were significantly improved by the application of glucose formulation of T.viride. The highest seed germination (92.66%) was recorded in the glucose formulation of T.viride (10g/kg of seed) which was significantly superior as compared to chemical fungicide thiram (89.33%), talc base (82.33%) and liquid base formulation (76.33%) of T.viride. The study indicates that glucose formulation of T.viride contributes and coordinately involved in the seed germination and seems to be promising strategy to improve the germination of tomato seeds.
Lone parents and mini jobs

An investigation of ways to encourage lone parents to take on jobs of fewer than 16 hours (‘mini-jobs’) rather than doing no paid work. The Government has made substantial strides in increasing the lone parent employment rate and tackling child poverty, but progress on both targets is stalling. This report investigates the potential for encouraging lone parents to work in jobs of fewer than 16 hours (‘mini-jobs’) rather than doing no paid work. The aim of such a strategy is: to increase the employment rate of lone parents; to tackle the high rates of relative poverty amongst this group; and to allow lone parents similar choices on how to combine work and family life as those available to mothers in couples. The report: examines the existing literature on mini-jobs, and on lone parents’ participation in this type of work; analyses the current incentives for lone parents to work in mini-jobs, and compares these to those for mothers in couples; compares a number of policy changes to the tax and benefit system that may make taking up such work more attractive, and how these changes might affect lone parents’ behaviour in the labour market. The researchers conclude that increasing the incentives for lone parents to work in mini-jobs would not only remove the disparity between the incentives for lone parents and mothers in couples, but has the potential to make a substantial contribution towards these targets.
Gaseous Fuels in PFI Spark Ignition Engines

19 Abstract—This paper investigates the use of alternative gaseous fuels in port fuel injection (PFI) spark ignition (SI) engines by means of Lotus Engine Simulation (LES) program. To this aim, the engine model for a commercial automotive SI engine was constructed and engine performances were determined for gasoline and alternative gaseous fuels i.e., compressed natural gas (CNG) and liquefied petroleum gas (LPG). The results show that brake thermal efficiency increases, while engine performance and fuel consumption decreases for methane and propane compared to gasoline at the same conditions. Engine performance improves when equivalence ratio is increased at a little quantity for gaseous fuels, while the fuel consumption remains almost stable. Engine performance also increases with increasing compression ratio for methane and propane, thus closer/equal performance values are obtained to gasoline. In this case, the brake specific fuel consumption decreases notable and significant increases are gained in brake thermal efficiency.
We Should Totally Open A Restaurant: A Taxonomy of Optimism and Overconfidence Preliminary Draft

We define and experimentally investigate two concepts that are inconsistently treated in previous literature: optimism and overconfidence. These types of “incorrect” beliefs have potentially major decision-making implications. We are particularly interested in the role optimism and overconfidence may play in an individual’s choice to become self-employed despite the high probability of failure in entrepreneurship (and to remain in self-employment despite relatively low earnings). Our definition of optimism amounts to a formalization of “wishful thinking,” whereby agents’ incorrect beliefs are driven by their preferences for certain outcomes. We characterize overconfidence as agent certainty that is greater than what can be warranted by available data. We depart from previous literature in three important ways. (1) We propose definitions that are general, i.e., not context-dependent, and therefore applicable to diverse decision-making scenarios. (2) Our definitions explicitly distinguish optimism from overconfidence, which allows us to separately identify the presence of these beliefs and their interaction. (3) Our experimental approach is designed to eliminate potentially confounding factors in eliciting errors in beliefs. In particular, we can pinpoint optimism by maintaining explicit control over which outcomes are “favorable. ” Moreover, we elicit agent beliefs about an objective distribution through a non-performance-based task, which helps to ensure that our results do not reflect agent beliefs about their own ability. ∗Department of Economics, Washington University in St. Louis. Email: sheger@wustl.edu (corresponding author). †Stephanie would like to acknowledge financial support from the Center for Research and Strategy (CRES), in the Olin Business School, Washington University in St. Louis ‡Department of Economics, Johns Hopkins University. Email: papageorge@wustl.edu.
A COMPREHENSIVE HUMAN FACTOR FRAMEWORK FOR INFORMATION SECURITY IN ORGANIZATIONS

Human factor represent an essential issue in the security of information in organizations, as human factor determine the behavior of the employees toward information security. This paper attempts to integrate related human factors, recognized by previous work, into a structured comprehensive framework. The framework has four main domains that take the form of a diamond. Two domains are concerned with the environment and management issues representing an organization dimension; while the other two are related to preparedness and responsibility issues giving an employee dimension. The domains at the four corners of the diamond interact with one another influencing the human behavior toward information security. Expert views on the framework have been collected through a survey that addresses the importance of its various components to human behavior. The framework provides a base for the future investigation of information security protection in organizations, and the development of controls for this purpose.
A proposal by the Peruvian College of Physicians for Reforming Mental Health Care in Peru

En ese contexto, la problemática de salud mental incluye no sólo los trastornos mentales sino también, problemas psicosociales graves (como diversos tipos de violencia), y desviaciones conductuales serias. Desde esta perspectiva, el quehacer en salud mental lo constituye no sólo la población que presenta morbilidad psiquiátrica, sino fundamentalmente, la que se denomina población sana. 1 ATENCIÓN PRIMARIA DE SALUD Y SALUD PARA TODOS
IDENTIFICATION AND QUANTIFICATION OF PLANT VOLATILES BY LOW-COST ELECTRONIC NOSE

The paper explores the possibilities of low-cost prototype of electronic nose based on widely available parts for identification and quantification of plant volatiles. The identification was based on chemometric processing of signals from the set CMOS sensors. The average success rate of the identification was 93.33%. Among the sensors used, Figaro TSG 2611 was most suitable for quantification of compounds with the R = 0.931.
Relationship between sense of coherence, work engagement and organizational commitment in manufacturing and service sectors

Article History Published Online: 19 December 2017 This research explores the relationship between sense of coherence, work engagement and organizational commitment among the working population in services and manufacturing sector. The study was conducted through quantitative research. The study used the Orientation to Life Questionnaire (OLQ) to measure sense of coherence, the Utrecht Work Engagement Scale (UWES) to measure work engagement and the Organizational Commitment Scale (OCS) to measure organizational commitment. A biographical questionnaire was also used. The questionnaires were administered to a sample of 240 employees, 120 from service sector and remaining from manufacturing, with reference to the age hypothesis for each employee shall be more than 30 years of age, with minimum work experience of about 5 years in the same company. A theoretical relationship between the constructs was determined and an empirical study provided evidence of the degree of relationship that existed between. A theoretical relationship between the constructs was determined and an empirical study provided evidence of the degree of relationship that existed between them.
Selected Results of the Workshop on Data Storage Research 2025

Ali R. Butt is a Professor and Associate Department Head for Faculty Development in the Department of Computer Science at Virginia Tech. He was also an organizer for the NAE US Frontiers of Engineering in 2010. Ali’s research interests are in distributed computing systems, cloud/ edge computing, file and storage systems, I/O systems, and system support for deep learning. At Virginia Tech he leads the Distributed Systems and Storage Laboratory (DSSL). butta@cs.vt. edu
DENTAL-ALVEOLAR COMPENSATORY PHENOMENA OF MALOCCLUSION CLASS II ANGLE. LATERAL CEPHALOMETRIC STUDY

The purpose of our study was to identify the dental-alveolar phenomena making up for skeletal imbalances due to malocclusion Class II, using the lateral cephalometry method. The research was carried out on 52 patients (29 girls and 23 boys), aged between 7 and 18 years, chosen from 113 cases clinically diagnosed with malocclusion Class II Angle. The lateral cephalometrie images were processed using the ORTHALIS software, whereas the cephalometric measurements were conducted by means of the Tweed and Steiner method. The databases and statistical analyses were carried out using the SPSS 16.0 software for Windows and descriptive statistics means. The results obtained reveal 5 skeletal patterns of Class II. The dental-alveolar compensation phenomena occurring in the Class II skeletal patterns associated with the skeletal growing patterns identified in the study group took a wide variety of dental-alveolar forms. The wide variety of clinical manifestations and expressions at the skeletal and dental-alveolar levels fully supports the opinion according to which malocclusions Class II Angle are far from being a mere clinical entity, but rather a complex craniodental-maxillo-facial syndrome.
Training Restricted Boltzmann Machines Using a Quantum Annealer

Machine learning and the optimization involved therein is of critical importance for commercial and military applications. Due to the extremely complex nature of many-variable optimization, the conventional approach is to employ a meta-heuristic technique to find suboptimal solutions. Quantum Annealing (QA) hardware offers a completely novel approach for obtaining significantly better or optimal solutions with considerably large speedups when compared to traditional computing hardware. In this presentation, we describe our development of new machine learning algorithms tailored for QA hardware. We train a Restricted Boltzmann Machine (RBM) using QA hardware as a sampler. We present our initial results obtained by training RBMs on an image data set. We also discuss strategies for scaling up, including enhanced embedding and partitioned RBMs, to overcome the limitation imposed by current QA hardware. Keywords—machine learning, deep learning, quantum computing, Boltzmann distribution, sampling methods, quantum annealing
The Financial Integration: An Empirical Analysis of Pakistan and UK

In this paper, integration of financial markets in Pakistan with those in United Kingdom, have been investigated. For this purpose we have tested the presence of co integration among Call money Rates (CMR) and t-bills rates (TBR) of Pakistan and UK. Our data consist of monthly rates of the entire domestic (Pakistan) and foreign (United Kingdom) variables. Variables selected for analysis are T-Bill Rate (TBR), Call Money Rate (CMR), Exchange Rate (Rs/$) and London Inter Bank Offered Rate (LIBOR). The sample period is 1 Jan 2000, to 31 Dec 2008, which includes 96 monthly observations for each variable used. All the variables are expressed in Natural Logarithm. The sources for data collection are State Bank of Pakistan (SBP), Economic Survey of Pakistan, and IMF CD-2009. In this study we use co-integration approach to examine the integration of returns in both domestic and foreign markets. One of the pre-requisites for undertaking the cointegration framework is that the variables that are expected to have long-run relationship should have the same order of integration: For short run causality, we have estimated Vector Error Correction model. Results obtained from exchange rate are not integrating with short-term. Based on cointegration tests, the empirical results find co-integration among four variables (t-bill rate Pakistan & call money rate Pakistan, call money rate Pakistan & call money rate United Kingdom and t-bill rate Pakistan and t-bill rate United Kingdom). Vector error correction model suggested long run and short run relationship between all variables. These results thus recommend that there is a link amongst domestic and foreign market. The paper is an original work and emphasizes whether the financial liberalization undertaken in Pakistan since 2000 has created integration among domestic and foreign market. Further to analyze if there is any relation or co-movement among the rate of returns in Pakistan and UK.
Experimental Investigation on Nanomaterial Concrete

Nanomaterial concrete is new generation concrete formed of materials of the grain size of nanoscale. The composition of nanomaterial concrete consists of cement, nanosilica grain of the size of 10 nm 140 nm, fine sand of the grain size of 0.125 mm 0.50 mm, quartz powder of the size of 16 m 90 m, coarse aggregate of a maximum grain size of 15 mm, and superplastisizer. Nanomaterials have properties or functions different from similar materials of large size. Nanomaterials have a larger value of the ratio between surface area and volume than other similar particles in larger size, making the nanomaterials more reactive. This paper presents the influence of nanosilica as a partial substitution of cement in concrete. The presence of nanosilica in concrete is intended to accommodate the byproduct of the cement hydration production in the form of free hydroxide calcium. Nanosilica will react with C3S and C2S in the cement and produce CSH-2 that will form a strong and solid bond of gel. The results showed that the addition of nanosilica as cement partial substitute material could improve the mechanical behavior of the concrete. Index Term-Nanomaterial, mechanical behavior.
Effects of extended deboning time on the breast meat quality of fast-growing big broilers

Fast-growing big broilers breast muscle often exhibits wooden breast and white striping myopathies causing meat quality issues such as high cook loss, tough texture, and lower marinade retention. Toughness of the meat and subsequent meat quality issues can also be due to unresolved rigor mortis and slow rate of post-mortem proteolysis. The objective of this study was to investigate the effects of extended deboning times and storage on the quality of broiler breast meat. Broiler breast fillets (total n=810) obtained from a local poultry processor included freshly deboned (2-3h post slaughter) wooden and normal breast butterfly fillets from broilers>8 lbs, breast fillets from medium sized birds (6-8lbs) as well as fillets deboned at extended post-slaughter times (16, 20 and 24h). Carcasses deboned at extended times (n=90/treatment) were stored at 4˚C. The left-side of the butterfly breast fillet was analyzed for color and cook loss immediately after deboning. Texture of cooked fillets was measured using the Blunt Meullenet-Owens Razor Shear (B-MORS) method. Statistical differences between the freshly deboned, extended deboned and stored fillets were determined using ANOVA with Tukey’s HSD at P<0.05. Data indicated that the wooden breast fillets had a higher cook loss than normal fillets and the ones from medium sized broilers. Texture (peak force and shear energy) of the fillets from all the extended debone times was lower compared to the freshly deboned (2-3h post-slaughter) breast fillets indicating an increase in tenderness due to proteolysis. Results from the study can be used by the poultry companies to reduce the breast meat texture issues from fast-growing big broilers.
Using GWAP to Generate Informative Descriptions for Artwork Images on a Live Streaming Platform

This paper proposes a method for creating informative descriptive sentences for artwork images by using “Games With a Purpose,” or GWAP on a live streaming platform. In existing studies, automatic annotation of images did not perform well, in particular, for artwork images such as Ukiyo-e. On the other hand, existing studies on GWAP, the concept of using games for human to address problems that computer cannot solve, demonstrated how games can exploit human intelligence in labeling images. With a huge number of audiences watching games live streaming on Twitch and other similar services nowadays, we propose a solution that makes chatting of audiences become an effective means for generating valuable descriptions for artwork images, Ukiyo-e images in this study, as well as promoting the interaction between the audiences and the game.
Research on Fair Trading Mechanism of Surplus Power Based on Blockchain

The development of blockchain technology is very rapidly. As a decentralized distributed technology, the blockchain has become one of the most promising Internet applications, and its application in the power balance trading platform has also received extensive attention. In view of the information asymmetry between the trading center and the margin trading users in the power balance trading platform, it is difficult to guarantee the fairness of the transaction and affect the actual income of the production consumers. First, we analyze the trading mechanism of the power surplus market.Then we designed a smart contract for multi-party bidding power resources based on blockchain technology, and achieved the decentralized power trading decision to ensure the information is symmetric and fair.At the same time, the credibility model is established by analyzing the user’s recent transaction records, and we design a corresponding punishment mechanism to strengthen the constraint on the execution of offline point-to-point power transactions.
Using Fuzzy C-Means Index Matrix on Magnetic Resonance Images to Define Possible Cortical Malformations with Epilepsy – A Pilot Study

*Correspondence: Tzu-Wang Shen, Department of Medical Informatics, Tzu Chi University, 701, Sec. 3, Chung-Yang Road, Hualien, Taiwan, E-mail: tshen@mail.tcu. edu.tw Received Date: 17 Apr 2017 Accepted Date: 05 Jun 2017 Published Date: 12 Jun 2017 Citation: Hsin Y-L, Harnod T, Shen T-W. Using Fuzzy C-Means Index Matrix on Magnetic Resonance Images to Define Possible Cortical Malformations with Epilepsy – A Pilot Study. Ann Neurol Surg. 2017; 1(1): 1003. Copyright © 2017 Shen T-W. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Published: 12 Jun, 2017