Miracle-dz/UniFAR-FTUs huggingface dataset:
NEW ENGLAND BOARD OF HIGHER EDUCATION

s Service (CAS). The system is batch-processing oriented, uses sequential magnetic tape files for the data bases, and has an on-line, interactive search profile entry capability. Search queries can be entered from either local or remote terminals and the search results can be transmitted back to the same remote locations for printing. Optionally, search results may be printed at the central processing site, either on attached printers or on off-line printing devices. B. Hardware Configuration The searches are processed generally on an IBM 360/65 computer configuration, in a dedicated batch mode on the third shift. An on-line data entry system is resident in low-speed core during the first shift for entry and update of the search profiles. In addition to the use of the 364V65 computer for the searching operation, two IBM 1401 computers are used routinely to print the search results and a CDC 6400 can be pressed into service to handle the printing of extra large output loads.
Enhanced colloidal monolayer assembly via vibration-assisted convective deposition

We demonstrate a purely mechanical technique for enhancing evaporation-driven convective deposition of particle monolayers from suspension. Lateral vibration in the deposition direction results in monolayer deposition at faster speeds, over a wider range of withdraw rates, and with higher order versus traditional convective deposition. These enhancements and phenomena are a result of variation in the thin film, where capillary interactions result in self-assembly by dynamically changing the air-liquid interface. This enhancement in fabricating ordered particle thin films may enable development of optical and biological applications and efforts to scale-up this process for commercial application.
The Impact of Education on Small-scale Farmers’ Use of ICT in Abuja, Nigeria

The study examined the impact of farmers’ level of education on the use of Information Communication Technologies (ICT) – radio, television, GSM phone video, agricultural books, camera and computer. A multistage technique was adopted for sampling while questionnaire was used for data collection. A total of 320 farmers made up of those who had primary, secondary, post-secondary and no formal school education were interviewed. Data were analyzed using two-way mixed analysis of variance (ANOVA). Results showed that, on average, farmers with post-secondary education significantly (p < .05) used all the types ICT more than those who had at most secondary education. There was no significant difference (p > .05) between farmers who had secondary and primary education in the use of all types of ICT but farmers who had secondary education significantly (p < .05) used ICT more than those with no formal school education. On the contrary, there was no significant difference (p > .05) between farmers who had primary school education and those with no formal school education in the use of all types of ICT. Generally, GSM phone and radio were significantly (p < .05) used more than the other ICT while the least used were camera and computer. The paper concluded that the farmers’ level of education significantly affected their use of ICT in agriculture.
Synthesis of holograms received by a communication channel

A method for the synthesis of holograms that reconstruct a 3D image using two 2D images, including a topographic map of the surface of a 3D object and photographs of the texture of its surface obtained using coherent and incoherent radiation is proposed. The method is suitable for transmitting information about a 3D object via a communication channel at a distance and subsequent synthesis of holograms at a distance from the holography object. It can be used in augmented reality devices, when creating holographic cameras and 3D video cameras, in 3D projectors and microscopes, devices with a synthesized aperture. The proposed method for the remote hologram synthesis is suitable for reproducing 3D holographic images of distant objects at different parts of the electromagnetic spectrum. Examples of 3D image restoration in the infrared spectral range are given. The method is also suitable for the synthesis of holograms in the UV, THz, and even radio range.
Inviting Confidence in School: Invitations as a Critical Source of the Academic Self-Efficacy Beliefs of Entering Middle School Students.

The purpose of this study was to examine whether constructs drawn from invitational theory serve as additional sources of self-efficacy beliefs of students in Grade 6 (N = 468). The hypothesized sources and the invitational constructs each correlated with academic self-efficacy. Invitations, mastery experience, and physiological state predicted the self-efficacy beliefs of boys and of girls. Social persuasions also predicted girls' self-efficacy. Invitations, mastery experience, and social persuasions predicted the self-efficacy beliefs of African American students. For White students, invitations and the four hypothesized sources predicted self-efficacy. Findings refine the tenets of social cognitive theory and suggest that invitations act as a powerful fifth source of self-efficacy.
Early Paleozoic jadeitites in Japan: An overview

Paleozoic jadeitite–bearing serpentinite–matrix mélange represents the oldest mantle wedge record of a Pacific– type subduction zone of proto–Japan. Most jadeitites are fluid precipitates (P–type), but some jadeitites are metasomatic replacement (R–type) which preserve relict minerals and protolith textures. The beauty and preciousness of some gem–quality, semi–translucent varieties of jadeitites in the Itoigawa–Omi area led to the designation of jadeitite as the national stone of Japan by the Japan Association of Mineralogical Sciences. Zircon geochronology indicates jadeitite formed prior to Late Paleozoic Renge metamorphism that formed blueschist and rare eclogite. For example, in the Itoigawa–Omi and Osayama localities, older jadeitites and younger high–pressure/ low– temperature metamorphic rocks in a single mélange complex imply different histories for the subduction channel and jadeite–bearing serpentinite–matrix mélange. This suggests that the jadeitite–hosted mélange (or serpentinized peridotite) can stay within the mantle wedge for a considerable time; thus recrystallization, resorption, and re–precipitation of jadeitite can continue in the mantle wedge environment. Therefore, studies of Paleozoic jadeitites in Japan have great potential to elucidate the earliest stages of orogenic growth (oceanward–accretion and landward–erosion) associated with the subduction of the paleo–Pacific oceanic plates, and to test geophysical observations of modern analogues from a mixture of fossilized mantle wedges and subduction channels.
Complex Analysis of Financial State and Performance of Construction Enterprises

The paper analyses the financial state and performance of large constructions enterprises by applying financial indicators. As there is no one single decisive financial indicator enabling to objectively assess enterprise performance, the multi-criteria decision making (MCDM) methods are applied with four groups of financial ratios (profitability, liquidity, solvency and asset turnover) acting as evaluation criteria, while the alternatives assessed are two enterprises compared throughout the reference period of three years, also with the average indicator values of the whole construction sector. The weights of the criteria have been estimated by involving competent experts with chi-square test employed to check the degree of agreement of expert estimates. The research methodology contributes to the issue of complex evaluation of enterprise financial state and performance, while the result of the multi-criteria assessment – the ranking of enterprises and sector average with respect to financial state and performance – could be considered worth attention from business owners, potential investors, customers or other possible stakeholders.
Microfinance Regulation and Social Sustainability of Microfinance Institutions: The Case of Nigeria and Zambia

This study examines the effect of regulations on microfinance institutions in Nigeria and Zambia by focusing on the post-regulation experiences and reflections of the microfinance institutions (MFIs) and their regulators. Based on in-depth interviews with the Central Banks as regulators, MFI managers, practitioners and apex microfinance associations, the study finds that regulations in both countries have managed to professionalize the sector, but their effectiveness in augmenting the centrality of social goals to microfinance and MFIs remains doubtful. The poorly designed regulations are not only undermining social goals but also sending wrong signals to would be social investors, with implications for the social image of the industry. The study further finds that regulations have neither speeded the emergence of sustainable MFIs (especially in Zambia) nor accelerated the sectors’ outreach to the poor and the financially excluded. Additionally, considerable levels of political interference and poor regulation have led to unintended consequences to the sector, further frustrating the ultimate goal of extending financial services to the poor. These findings have policy and practical implications for how microfinance engages with the regulatory logic and continues to serve those at the bottom of the pyramid.
Quality of Institutions, Global Sourcing, and the Make-or-Buy Decision

Do contractual institutions and a country’s level of trust interact in their impact on the international make-or-buy decision? By analyzing explicit and implicit contracting in a unified framework, I show that better formal contractibility may both facilitate and hinder relational contracting on a trust basis. If formal agreements crowd out first-best efficient relational contracts, firms’ profitability and consumers’ welfare decrease. In contrast, a higher level of trust unambiguously increases firm performance and a country’s attractiveness as an offshoring destination. I also show that improvements in the trust level are associated with largest reductions in intrafirm trade if formal contractibility is low. Lastly, this paper argues that models built on the simplifying assumption of ex ante lump-sum transfers between parties generally overestimate the prevalence of outsourcing vs. integration.
In vitro efficacy of different growth media and crude plant extracts against mycelia growth of Phytophthora capsici

Article history: Received on: 14/02/2017 Accepted on: 17/05/2017 Available online: 14/08/2017 Different growth media; PARP (Pimaricin + Ampicilin + Rifampicin + PCNB), Carrot Agar, Rye Agar and V8 Juice Agar were evaluated against mycelial growth of Phytophthora capsici. During isolation PARP was found the best medium as mean colony diameter of 2.2 cm was observed while no growth of P. capsici was found on any other media. Plant extracts Calotropis gigantean (Akk), Cassia fistula (Amaltas), Nerium oleander (Kaner), Oscimum basilicum (Niazbo), Parthenium hysterophorus (Parthenium) and Azadirachta indica (Neem) were assessed against mycelia growth of P. capsici in vitro. Parthenium hysterophorus totally inhibited the growth of P. capsici, Nerium oleander and Oscimum basilicum also prove effective to some extent. Although Azadirachta indica, Cassia fistula and Calotropis gigantea stimulated the growth of P. capsici.
Millimeter-wave directional path loss models in the 26 GHz, 32 GHz, and 39 GHz bands for small cell 5G cellular system

This paper presents empirically-based large-scale propagation path loss models for small cell fifth generation (5G) cellular system in the millimeter-wave bands, based on practical propagation channel measurements at 26 GHz, 32 GHz, and 39 GHz. To characterize path loss at these frequency bands for 5G small cell scenarios, extensive wideband and directional channel measurements have been performed on the campus of the University of Surrey. Close-in reference (CI), and 3GPP path loss models have been studied, and large-scale fading characteristics have been obtained and presented.
The effect of nickel oxide nano‐additives in Azadirachta indica biodiesel‐diesel blend on engine performance and emission characteristics by varying compression ratio

The utilization of biodiesel‐diesel blends in compression ignition (CI) engines are a viable option for the current energy crises. But due to better combustion features of biodiesel‐diesel blends leading to high NOx release from engine exhaust hinders the use of such blends. Usually all of the harmful exhaust emissions like HC and CO reduces marginally, except nitrogen oxides at higher compression ratios with biodiesel blended fuel. The present paper focuses on the study of variation of compression ratio and use of NiO nanoparticles in neem biodiesel‐diesel mixture (NB25) at different braking loads. A total of four test fuels of NB25 blend were prepared having nickel oxides at different concentration levels of 25, 50, 75, and 100 ppm. The current findings reveal that the use of 75 ppm of NiO in NB25 blend reduces the amount of thermal NOx by 6.2% compared to the absence of nanoparticles. Also, the performance parameters such as brake thermal efficiency improved by 2.9% and brake specific fuel consumption reduced by 1.8%. The presence of 75 ppm of NiO in NB25 not only shows best performance and also lower harmful emission.
Misspecification-robust inference in linear asset pricing models with irrelevant risk factors

We show that in misspecified models with useless factors (for example, factors that are independent of the returns on the test assets), the standard inference procedures tend to erroneously conclude, with high probability, that these irrelevant factors are priced and the restrictions of the model hold. Our proposed model selection procedure, which is robust to useless factors and potential model misspecification, restores the standard inference and proves to be effective in eliminating factors that do not improve the model’s pricing ability. The practical relevance of our analysis is illustrated using simulations and empirical applications. JEL classification: G12, C12, C52
Designing high performance, power-efficient, reconfigurable compute structures for specialized applications

In this paper, a new approach to design high-performance and power-efficient computing structures are proposed for machine learning tasks. Such structures can be very useful in some specialized applications such as autonomous robots, mobile devices, smart sensors for the Internet of Things (IoT) and so on. This approach is based on the concept of reconfigurable homogeneous computing environments. Major advantages of this approach are discussed. The process of designing a set of elementary operations for such structures is described in detail using an example with a typical Feed-Forward Neural Network (FFNN) and its training module.
An Algorithm Based on Simple CNN and BI_LSTM Network for Chinese Word Segmentation

In dealing with most Chinese NLP tasks, word segmentation is an indispensable and critical work, and it also affects the accuracy of subsequent tasks. Neither the traditional BI_LSTM network can extract features effectively, nor the CNN network can deal with the timing problem effectively. As a result, this paper proposes a new algorithm to solve these problems. First, the Chinese characters’ feature in a whole sentence is extracted and recombined using the CNN network; then, the recombined feature is combined in BI_LSTM network; finally, each word of the whole sentence which classified by weight sharing and the corresponding classification of each word is the consequent output. Not only the advantages of CNN network are utilized for feature extraction, but also the advantages of BI_LSTM network are retained for timing processing. In conclusion, the learning ability of BI_LSTM network is increased, and the accuracy of output is improved to 98%.
MAGnet : Generating Long-Term Multi-Agent Trajectories

We propose MAGnet: a flexible class of generative models that can generate rich multi-agent spatiotemporal trajectories over a long time horizon. Learning generative models in this setting is challenging, as such data can exhibit both complex individual and collective behavior over many time-steps. The key aspects of MAGnet are: 1) its hierarchical latent structure that can jointly represent longterm (macro) and short-term (micro) temporal dependencies; and 2) its shared structure between agents. We experimentally validate that MAGnet can successfully encode and generate realistic long-term basketball team trajectories for 5 players jointly, while state-of-the-art variational models fail on this task. Learning generative models for multi-agent spatiotemporal trajectories is a challenging problem, as such data can exhibit complex individual behavior and long-term interactions between multiple agents. For example, consider the movement dynamics of 5 basketball players in Figure 1. Players move nonlinearly towards macro-goals (boxes) and display coherent team coordination over long time horizons. This implies the the data distribution is multi-modal, and has nonlinear multi-agent dynamics and long-term non-Markovian dependencies. (a) Ground truth (b) MAGnet Figure 1: 5 basketball player trajectories over 8 seconds (50 frames) starting from black dots. MAGnet learns complex multiagent distributions and consistently generates more realistic behavior over baselines. Previous approaches have learned sequential generative models for handwriting, speech and image synthesis [Chung et al., 2015, Gregor et al., 2015], but such models fail to generalize to the multi-agent setting (Figure 2a). To address this issue, we propose MAGnet: a flexible model class that can generate complex multi-agent behavior (Figure 1b) and be learned via variational methods. MAGnet has two salient aspects: 1) it uses a hierarchical latent structure that can encode non-Markovian dependencies between macro-goals and agent state predictions; and 2) it uses a shared agent structure, where each agent model conditions its prediction on the goals of other agents. As such, MAGnet can learn compact representations of longterm multi-agent behavior. In summary, our contributions are: • We propose a model class of flexible distributions over multi-agent spatiotemporal data. • We instantiate our model class with VRNNs and show how to train it via variational methods and weak labels for long-term goals. • We show that our model generates realistic multi-agent trajectories that are semantically meaningful and capture the variability in the data. Second workshop on Bayesian Deep Learning (NIPS 2017), Long Beach, CA, USA. 1 MAGnet: Multi-Agent Goal-driven Network The goal of generative models is to learn the data distribution p(x) given data {x}, for instance, by maximizing the log-likelihood of the data with respect to the model parameters. For a sequence x = (x1, . . . ,xT ) of length T , the joint distribution can be factorized using conditional probabilities:
Taming the Renewables: Actors’ Innovation in Improving the Utilisation of Biogas for Everyday Use in Agricultural Setting

Biogas development in Indonesia has reached a large number of users since 2009 and the technology has had a successful adoption rate at the local level. However, the ways that users develop and adopt innovation with regards to this useful technology has been under-researched. This study aims to address the innovations being undertaken by biogas users; these innovations are a decentralising process of technical knowledge that is based on users’ interpretations of pre-existing social and cultural values they experience in everyday life. Through innovation, users can demonstrate a greater sense of ownership, which leads to them feeling more able to integrate the biogas into their lives, including its incorporation into agricultural activities at home. The main recommendation drawn from this research is that users’ ideas and knowledge, as well as the social-cultural values underlying their everyday lives, should be taken into account in order to ensure successful construction processes and that they be understood as co-shaping elements that will enable a smooth immersion of the users and the technology.Article History: Received November 26th 2015; Received in revised form January 15th 2016; Accepted January 26th 2016; Available onlineHow to Cite This Article: Alam, M. (2016) Taming the Renewables: Actors’ Innovation in Improving the Utilisation of Biogas for Daily Use in Agricultural Setting. Int. Journal of Renewable Energy Development, 5(1),57-64 . http://dx.doi. org/10.14710/ijred.5. 1.57-64
The Natural Hair Bias in Job Recruitment

Across four studies, we demonstrate a bias against Black women with natural hairstyles in job recruitment. In Study 1, participants evaluated profiles of Black and White female job applicants across a variety of hairstyles. We found that Black women with natural hairstyles were perceived to be less professional, less competent, and less likely to be recommended for a job interview than Black women with straightened hairstyles and White women with either curly or straight hairstyles. We replicated these findings in a controlled experiment in Study 2. In Study 3A and 3B, we found Black women with natural hairstyles received more negative evaluations when they applied for a job in an industry with strong dress norms. Taken together, this article advances the research on biases in the labor market in the age of social media use and highlights the importance of taking an intersectional approach when studying inequity in the workplace.
Prevalence of patterns of impacted third molars

Aim: As the patterns of impaction can affect the treatment plan of removing or remaining the impacted tooth, the difficulty of surgery, and the post-surgical complications, this survey aimed for assessment of the mandibular wisdom tooth impaction patterns in terms of angulation and depth in the north population of Iran. Materials and Methods: 196 Panoramic radiographs were gathered from patients attending to the department of oral and maxillofacial surgery of GUMS in 2018-2019. To perform this retrospective study the prevalence of impaction, angulation, and the level of the eruption were assessed. The data were analyzed by SPSS 16. Results: This study found that the most common pattern of impacted mandibular third molars was level B in terms of depth and mesioangular in terms of angulation. Conclusion: The current study notes the importance of determining the angulation and level of wisdom tooth in designing the pre-surgical treatment and in post-surgical complaints
Bridging Truthfulness and Corruption-Robustness in Multi-Armed Bandit Mechanisms

We study pay-per-click auctions where both the principal and the agents employ learning algorithms to learn the click-through-rates and intrinsic values respectively. In this setting, we illustrate a trade-off between a) effective learning in a truthful manner and b) robustness to the presence of adversarial corruptions. We design a mechanism that balances these two conflicting forces and achieves a graceful degradation in performance with the amount of corruption in the data without compromising the performance when there is no corruption. On the way we demonstrate that agent-learning introduces additional challenges in multi-armed bandit mechanisms even at the absence of corruptions, which may be of independent interest.