Miracle-dz/UniFAR-FTUs huggingface dataset:
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation

Achieving faster execution with shorter compilation time can foster further diversity and innovation in neural networks. However, the current paradigm of executing neural networks either relies on hand-optimized libraries, traditional compilation heuristics, or very recently genetic algorithms and other stochastic methods. These methods suffer from frequent costly hardware measurements rendering them not only too time consuming but also suboptimal. As such, we devise a solution that can learn to quickly adapt to a previously unseen design space for code optimization, both accelerating the search and improving the output performance. This solution dubbed CHAMELEON leverages reinforcement learning whose solution takes fewer steps to converge, and develops an adaptive sampling algorithm that not only focuses on the costly samples (real hardware measurements) on representative points but also uses a domain knowledge inspired logic to improve the samples itself. Experimentation with real hardware shows that CHAMELEON provides 4.45×speed up in optimization time over AutoTVM, while also improving inference time of the modern deep networks by 5.6%.
PII: S0306-4522(00)00587-X

ÐThis study was performed using intracellular and multiunit extracellular recording techniques in order to characterize the role of nitric oxide in the afferent synaptic transmission of the vestibular system of the axolotl (Ambystoma tigrinum). Bath application of nitric oxide synthase inhibitors N-nitro-l-arginine (0.01 mM to 10 mM) and N-nitro-larginine methyl ester hydrochloride (0.1 mM to 1000 mM) elicited a dose-dependent decrease in the basal discharge of the semicircular canal afferent ®bers. N-Nitro-l-arginine also diminished the response to mechanical stimuli. Moreover, N-nitro-l-arginine (1 mM) produced a hyperpolarization associated with a decrease in the spike discharge and diminished the frequency of the excitatory postsynaptic potentials on afferent ®bers recorded intracellularly. Nitric oxide donors were also tested: (i) S-nitroso-N-acetyl-dl-penicillamine (0.1 mM to 100 mM) increased the basal discharge and the response to mechanical stimuli. At the maximum effective concentration (100 mM) this drug affected neither the amplitude nor the frequency of the excitatory postsynaptic potentials. However, it slightly depolarized the afferent neurons and decreased their input resistance. (ii) 3-Morpholino-sydnonimine hydrochloride did not signi®cantly affect the basal discharge or the mechanically evoked peak response of afferent neurons at any of the concentrations used (1 mM to 1000 mM). However, after 10 min of perfusion in the bath, 1 mM and 10 mM 3-morpholino-sydnonimine hydrochloride signi®cantly modi®ed the baseline of the mechanically evoked response, producing an increase in the mean spike discharge of the afferent ®bers. These results indicate that nitric oxide may have a facilitatory role on the basal discharge and on the response to mechanical stimuli of the vestibular afferent ®bers. Thus, nitric oxide probably participates in the sensory coding and adaptative changes of vestibular input in normal and pathological conditions. q 2001 IBRO. Published by Elsevier Science Ltd. All rights reserved.
MEASURING EXPECTATIONS FROM HOUSEHOLD SURVEYS: NEW RESULTS ON SUBJECTIVE PROBABILITIES OF FUTURE HOUSE PRICES

I analyse new data on subjective probabilistic expectations on house prices collected in the Spanish Survey of Household Finances. Households are asked to distribute ten points among fi ve different scenarios for the change in the price of their homes over the next 12 months. This paper is the fi rst empirical study to document the beliefs of a representative sample of households about the future value of their homes. It also reviews the methodology of expectation measurement and recent work on household subjective probabilities. I model individual subjective probability densities using splines, construct quantiles from those densities, and analyse how the heterogeneity in the individual distributions relates to differences in housing and household characteristics. An important result of the paper is that women are more optimistic about the evolution of house prices than men. Location at the postal code level accounts for a large fraction of the variation in the subjective distributions across households. Finally, I provide some results on how subjective expectations matter for predicting spending behaviour. Housing investment and car purchases are negatively associated with pessimistic expectations about future house price changes and with uncertainty about those expectations.
A Block Turbo Equalizer with Single-Parity Check Turbo Product Codes

Combining a maximum a posteriori (MAP) equalizer and a D-dimensional Single-Parity Check Turbo Product Code (SPC-TPC) in a novel way, a Block Turbo Equalizer structure is proposed here. The proposed scheme has a potential for reduction in complexity, when compared to other block turbo equalizers. Simulations reveal attractive performance results. Keywords— Block Turbo Equalizer, Single-Parity Check Turbo Product Code.
IMPACT OF EMOTIONAL INTELLIGENCE AND ATTITUDE TOWARDS TEACHING ON JOB SATISFACTION

The objective of the Study was to find out the impact of type of college, gender, age, teaching experience, emotional intelligence and attitude towards teaching on the job-satisfaction of teacher educators. The investigators chose this problem because the teacher is the most important factor in the contemplated educational reconstruction. The quality of teachers can be enhanced by increasing his/her job satisfaction level. A sample of 200 teacher educators was selected and data was collected through random sampling technique. Survey method was adopted for conducting the research. The results reveal that there is significant positive impact of type of college, gender, age, teaching experience, emotional intelligence and attitude towards teaching on the job-satisfaction of teacher educators. Teacher educators of government aided colleges, females, senior teachers, high emotionally intelligent and teachers with favourable attitude towards teaching were found to possess higher jobsatisfaction level.
Occupational expertise , perceived employability and job search : a study across age groups Reference

Purpose: In the current war for talent employers are concerned about the idea that the best employees are more likely to leave the organization for another employer (i.e. the management paradox). This study tests this management paradox. It aims to advance our understandings of how employees’ occupational expertise is associated with job search intensity, through its assumed relationships with perceived employability in the internal and the external labor market. We tested our research model across three different age groups (young, middle-aged and senior employees). Design/Methodology/Approach: We conducted a survey among 2,137 professional workers and applied multi-group structural equation modeling. Findings: Perceived internal employability negatively mediated the relationship between occupational expertise and job search intensity, whilst there was a positive mediational effect of perceived external employability. Age had a moderating effect on the association between perceived internal employability and job search intensity. Research Implications: Our findings contribute to the scholarly literature on the management paradox and the empirical work on employability and age. Practical Implications: Organizations can recoup their investments in expert workers' employability and enhance their retention by providing opportunities for internal career development.
AUTOQ: AUTOMATED KERNEL-WISE NEURAL NET-

Network quantization is one of the most hardware friendly techniques to enable the deployment of convolutional neural networks (CNNs) on low-power mobile devices. Recent network quantization techniques quantize each weight kernel in a convolutional layer independently for higher inference accuracy, since the weight kernels in a layer exhibit different variances and hence have different amounts of redundancy. The quantization bitwidth or bit number (QBN) directly decides the inference accuracy, latency, energy and hardware overhead. To effectively reduce the redundancy and accelerate CNN inferences, various weight kernels should be quantized with different QBNs. However, prior works use only one QBN to quantize each convolutional layer or the entire CNN, because the design space of searching a QBN for each weight kernel is too large. The hand-crafted heuristic of the kernel-wise QBN search is so sophisticated that domain experts can obtain only sub-optimal results. It is difficult for even deep reinforcement learning (DRL) Deep Deterministic Policy Gradient (DDPG)-based agents to find a kernel-wise QBN configuration that can achieve reasonable inference accuracy. In this paper, we propose a hierarchical-DRL-based kernel-wise network quantization technique, AutoQ, to automatically search a QBN for each weight kernel, and choose another QBN for each activation layer. Compared to the models quantized by the state-of-the-art DRL-based schemes, on average, the same models quantized by AutoQ reduce the inference latency by 54.06%, and decrease the inference energy consumption by 50.69%, while achieving the same inference accuracy.
CRNET: IMAGE SUPER-RESOLUTION USING A CON-

Convolutional Sparse Coding (CSC) has been attracting more and more attention in recent years, for making full use of image global correlation to improve performance on various computer vision applications. However, very few studies focus on solving CSC based image Super-Resolution (SR) problem. As a consequence, there is no significant progress in this area over a period of time. In this paper, we exploit the natural connection between CSC and Convolutional Neural Networks (CNN) to address CSC based image SR. Specifically, Convolutional Iterative Soft Thresholding Algorithm (CISTA) is introduced to solve CSC problem and it can be implemented using CNN architectures. Then we develop a novel CSC based SR framework analogy to the traditional SC based SR methods. Two models inspired by this framework are proposed for pre-/post-upsampling SR, respectively. Compared with recent state-of-the-art SR methods, both of our proposed models show superior performance in terms of both quantitative and qualitative measurements.
Relationships Between Attitude, Corporate Image, and Purchase Intention in Sponsorship Events

This paper focuses on studying the associations of event attitude and brand attitude with corporate social responsibility image, corporate brand image, and purchase intention of sponsored brands in Saudi Arabia. The convenience sample of the study consisted of 360 consumers who responded to the data collection instrument. Multiple regression was used to test the study hypotheses. The findings of the study showed that event attitude and brand attitude positively and directly influenced the purchase intention of the sponsored brands. Furthermore, event attitude and brand attitude positively impacted the corporate social responsibility image and the corporate brand image. It was also found that corporate social responsibility image and corporate brand image demonstrated a positive impact on the purchase intention of sponsored brands. Keywords: event attitude, brand attitude, corporate social responsibility, corporate image, purchase behavior, sponsorship, Saudi Arabia
The Continuing Challenge of Nitrogen Loss to the Environment: Environmental Consequences and Mitigation Strategies

In this second part of our review on nitrogen loss to the environment, we discuss the increasing problem of air and water contamination with nitrogenous compounds with a focus on agricultural contributions, water quality standards and legislation and mitigation options available to land managers. Excess nitrogen in soil, aquatic and atmospheric environments is a growing global problem due to human activity increasingly dominating nutrient cycling. While sources of environmental nitrogen pollution are diverse, considerable concern exists regarding the impact of intensified agricultural systems and the effects of increasing rates of fertilisation on water and air quality, which negatively affect human and animal health, increase climate change, ozone depletion and atmospheric nitrogen deposition, and cause the deterioration of aquatic habitats. Over recent decades, regional, national and international legislation has been introduced to control and mitigate nitrogen loss from agricultural sources. While the effects of nitrogen on human and animal health have resulted in the introduction of limits that ensure drinking water quality, the role of nitrogen in aquatic eutrophication has greatly been underestimated in the past and the implementation of new standards and laws has been recommended. In addition, a wide range of mitigation measures, mostly practical farm management solutions, is available to agriculture to reduce nitrogen loss to the biosphere. The involvement of land managers in the decision making and implementation processes is, however, crucial to guarantee the success of measures that optimise agricultural production, minimise adverse effects on human and animal health and reduce environmental pollution. Profitable, environmentally sound and socially acceptable agricultural production has to be achieved through a joint approach by researchers, land managers and policy makers aimed at cost effective, targeted and innovative implementation of mitigation measures to reduce environmental N emissions. _____________________________________________________________________________________________________________
Fluctuation conductivity and pseudogap in single crystals under pressure with transport current flowing under an angle 45Â° to the twin boundaries

a B.I. Verkin Institute for Low Temperature Physics and Engineering of National Academy of Science of Ukraine, 47 Lenin ave., 61103 Kharkov, Ukraine b V.N. Karazin Kharkov National University, 4 Svobody sq. , 61077 Kharkov, Ukraine c International Laboratory of High Magnetic Fields and Low Temperatures, 95 Gajowicka Str. , 53-421 Wroclaw, Poland d Department of Materials, Imperial College, London SW7 2AZ, United Kingdom
Supply Chain Management and Financial Performance: Roles of Social Control and Environmental Dynamism. IEEE Transactions on Engineering

The literature examining the relationship between green supply chain management and firm performance has expanded greatly in recent years. Although researchers maintain that green supply chain management can bring positive financial performance, to date they have ignored the moderating role of the social control mechanism, especially in the context of China. Drawing on social exchange theory, this study aims to contribute to the literature in this field by proposing social control as an effective mechanism to strengthen the impact of green supply chain management on firms’ financial performance. Today, most empirical literature in the field of green supply chain management adopts the static view and overlooks the contextual factors. This study addresses the gap by investigating the green supply chain management in an environment characterized by frequently unavoidable disruptions, and the effectiveness of social control that accommodates this complexity and dynamism. By examining green supply chain management under conditions of environmental dynamism, this study contributes to the literature of interface of green supply chain and resilience. Using a sample of 185 Chinese manufacturers, the theoretical model is empirically verified. The research findings indicate that in a dynamic environment, the joint effect of social control and green supply chain management practices is positive and significant. This paper also discusses the theoretical contribution and managerial implications of the study, outlines the research limitations, and provides recommendations for future research.
Comparison between the Effect of Nano Chitosan and Fabcomic Insecticide against Tetranychus urticae (Acari: Tetranychidae)

Toxicity of nano chitosan and fabcomic acaricide were studied under laboratory conditions against adults of spider mite, Tetranychus urticae Koch. Also, LC50 and LC90 of each treatment were determined. The obtained results revealed that fabcomic acaricide was more effective in controlling T. urticae than nano chitosan but it caused pollution for all living organisms as well as to the environment while nano chitosan was more save for both, humans and plants. LC50 for fabcomic acaricide and nano chitosan was 0.1 and 801.04 ppm, respectively. However, LC90 was 1.66 and 5746.09ppm for fabcomic acaricide and nano chitosan, respectively.
The Influence of Age on Ileal Amino Acid Digestibility in Turkey Poults

In turkeys, there is not much documented research on the relationship between age and amino acid digestibility. Since the protein and amino acid requirements for poults are the highest of all commercial poultry species, it is important to know the digestibility coefficients of common feedstuffs at different ages so as to formulate diets as accurately and as economically feasible as possible. Three trials were conducted to study the effects of age on ileal amino acid digestibility of common protein sources. Poults were fed semi­purified diets containing meat and bone meal (MBM), soybean meal (SBM), fishmeal and a commercial 60% CP blend (blend) as the sole sources of protein. Two complete diets were formulated to commercial specifications and were also tested. One diet contained corn with a high level of SBM (CS) whereas the other diet contained corn, a lower level of SBM and fish meal (CSF). At 5 d of age, poults fed the diets containing MBM and fishmeal had significantly lower digestibility coefficients compared with the 3 and 6 week­old poults (P<0.05). There were no significant age effects on essential amino acid digestibility in poults fed the commercial protein blend with the exception of threonine. There were significant age effects on the digestibility of histidine, methionine, and valine in both complete diets and lysine for the CS diet. (
Direct and Indirect Speech Interpretation by Older Adults

This study investigates the interpretation of direct speech (Monkey said: You get the ball ) and indirect speech (Monkey said that I get the ball) in older adults (aged 65 -95). Children interpret direct speech less accurately than indirect speech and recent work Köder and Maier (2016) has suggested that this may be because direct speech requires more working memory capacity and more inhibitory control. If this explanation is correct, we expect older adults, who are known to have fewer cognitive resources, to also show problems interpreting direct speech. 24 Dutch speaking older adults performed a referent-selection task, a Stroop task and a Digit Span task. We found that direct speech is interpreted less accurately than indirect speech by older adults. No relation with the Stroop task or the Digit span task was found. We discuss the results in comparison with earlier results of children (4;0-11;0) and young
The Effect of Organizational-Professional Conflict towards Professional Judgment by Public Accountant Using Personality Type, Gender, and Locus of Control as Moderating Variables

Professionalism is crucial in the audit fieldwork. Public accountants have a role as a member of an organization (public accounting firm) and professional organization, prone to experience a conflict between values and professional organizations. On the other hand, as an individual, an auditor has behavioral sides that would affect professional judgment made while engaged in conflict situations. This research aimed to examine and to obtain empirical evident on effects of organizational-professional conflict toward professional judgment taken by auditor by using personality type, gender, and locus of control as moderating variable. This research was carried out at the Public Accountant Offices at Jakarta, Semarang, and Yogyakarta. The sampling was conducted by convenience sampling technique. Collecting data was conducted by questionnaires. One hundred thirty seven questionnaires were returned. The result of research showed that personality type and gender significantly affect the effect of organizational-professional conflict toward professional judgment. However, locus of control didn’t significantly affect the effect of organizational-professional conflict toward professional judgment.
Relative Pixel Prediction For Autoregressive Image Generation

In natural images, transitions between adjacent pixels tend to be smooth and gradual, a fact that has long been exploited in image compression models based on predictive coding. In contrast, existing neural autoregressive image generation models predict the absolute pixel intensities at each position, which is a more challenging problem. In this paper, we propose to predict pixels relatively, by predicting new pixels relative to previously generated pixels (or pixels from the conditioning context, when available). We show that this form of prediction fare favorably to its absolute counterpart when used independently, but their coordination under an unified probabilistic model yields optimal performance, as the model learns to predict sharp transitions using the absolute predictor, while generating smooth transitions using the relative predictor. Experiments on multiple benchmarks for unconditional image generation, image colorization, and super-resolution indicate that our presented mechanism leads to improvements in terms of likelihood compared to the absolute prediction counterparts.
Detecting Fraud Through Audit Tool and Linked Archive System Working Paper

This study aims to understand the auditor's ability to detect fraud through an audit tool and linked archive system (ATLAS) working paper. This is a qualitative research using a transcendental phenomenology methodology. Research informants were view that the ATLAS working paper was a translation of a risk-based audit standard. Awareness from the auditor is needed to apply ATLAS before it is required. The ATLAS working paper is believed to improve audit quality by prioritizing risk assessment before substantive testing. The implementation of auditor skepticism in the ATLAS working paper meant fraud could be detected. The results of the study provided policy contributions of the Center for Financial Professional Development and the Indonesian Institute of Certified Public Accountants. Alternative policies are in place as an effort to improve audit quality in small and mediumsized public accounting firms. Keywords—audit quality, ATLAS working paper, fraud, small and medium-sized public accounting firms
Introducing Random Investment in High Speed Rail Transport Valuation

In this paper we extend Couto et al. (2012) high-speed rail (HSR) transport valuation model based on real options analysis, in order to embrace random investment. Optimal timing to invest, value of the option to defer and investment opportunity value are assessed considering uncertainty upon HSR demand and investment expenditures, both following a geometric Brownian motion with jumps driven by Poisson processes. Numerical results are presented, showing the consistence with the former model and the additional uncertainty impact. JEL classification: D81, D83,D92.
University of Southern Denmark Posttraumatic growth and dyadic adjustment among war veterans and their wives Lahav, Yael; Kanat-Maymon, Yaniv; Solomon, Zahava

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