Miracle-dz/UniFAR-FTUs huggingface dataset:
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference

Wide adoption of complex RNN based models is hindered by their inference performance, cost and memory requirements. To address this issue, we develop AntMan, combining structured sparsity with low-rank decomposition synergistically, to reduce model computation, size and execution time of RNNs while attaining desired accuracy. AntMan extends knowledge distillation based training to learn the compressed models efficiently. Our evaluation shows that AntMan offers up to 100x computation reduction with less than 1pt accuracy drop for language and machine reading comprehension models. Our evaluation also shows that for a given accuracy target, AntMan produces 5x smaller models than the state-of-art. Lastly, we show that AntMan offers super-linear speed gains compared to theoretical speedup, demonstrating its practical value on commodity hardware.
HbA1c and serum fructosamine as markers of the chronic glycemic state in Type 2 diabetic hemodialysis patients

This study was conducted with 35 Type 2 diahetic hemochalysis patients (24 M, 11 F) and 12 non-diabetic hemodialysis patients (8 M, 4 F) attending the hemodialysis unit of Dammam Central Hospital, Kingdom of Saual Arabia, The mean age of the diabetic patients was 59.3 yr, and of the non-diabetic patients, 40.0 yr. The non-diabetic patients served as a control group in order to neutralize the effect of metabolic parameters on the results, The diabetic patients were divided into 3 groups Group 1 was on dietary restriction only. Group H was on insulin therapy and dietary restriction, and Group III was on glipizide (an oral hypoglycemic agent, a sulfonylurea, (netabolized by the tiver) and dietary restriction. The serum fructosamine level (normal = 205-285 mg/dly and the glyecsylated hemoglobin (HbAlc) concentration (normal = 4.3-7.7%, were measured by automated analyzer and ion-exchange chromatography, respectively. The results showed that the serum fructosamine levels and HbAIc concentration were higher in Group II (mean serum fructosamine, 431 mg/dl; mean HbAlc, 12.9%) than in Group III (mean erum fructosamine, 373 mg/dl; mean HbAlc, 8.72%) and Group I (mean serum fructosamine 367 mg/dl; mean HbAlc, 7.68%). The control Group (non-diabetic hemodlalysis patientsy had a normal range of serum fructosamine (mear. 283 mg/dl) and HbAIc (6.64%). Thus, this study showed that although blood glucose level will remain an important toot for the evatuation of diabetic patients, the estimation of serum fructosamine and glycosylated hemoglobin should always be monitored because of the widely fluctuating value of blood glucose level due to diet and dialysate glucose concentration. It was also noted that gllpizide was a better anti-diabetic agent than insulin, probably due to its ease of admimstration, the poor absorption of subcutaneous in sulin due to microvascular disease, and the non-removal of glipizide by dialysis. An effect of the azotemia on the HbAlc measurements when using ion-exchange chromatography was not seen in this study, although it has been previously reported.
Study the propagation characteristic of radio wave in atmospheric duct

To investigate the propagation properties of radio waves in atmospheric duct,according to the fact that the traditional Split-step Fourier Transform method does not work well in treating the propagation problem with the impedance boundary condition,the Discrete Mixed Fourier Transform Method is used to solve the narrow angle parabolic equation with the impedance boundary condition is presented,and a detailed computational method and the solving step are also given.In the process of discretization of the auxiliary function,the traditional central difference formula is replaced by the backward difference formula,and numerical results show the method is of good stability.This approach establishes the theoretical foundation for studying the assessment of radar performance and radar detection shadow zone.
Teaching a robot to use electric tools with regrasp planning

This study presents a straightforward method to teach robots to use tools. Teaching robots is crucial in quickly deploying and reconfiguring robots in next-generation factories. Conventional methods require third-party systems like wearable devices or complicated vision system to capture, analyse, and map human grasps, motion, and tool poses to robots. These systems assume lots of experience from their users. Unlike the conventional methods, this study does not involve learning human motion and skills. Instead, it only learns the object goal poses from the human user whilst employs regrasp planning to generate robot motion. The method is most suitable for a robot to learn the usage of electric tools that can be operated by simply switching on and off. The proposed method is validated using a dual-arm robot with hand-mounted cameras and several tools. Experimental results show that the proposed method is robust, feasible, and simple to teach robots. It can find a collision-free and kino-dynamic feasible grasp sequences and motion trajectories when the goal pose is reachable. The method allows the robot to automatically choose placements or handover considering the surrounding environment as intermediate states to change the pose of the tool and use tools following human demonstrations.
MEANS-InOut: user-friendly software to generate LCIs of farming systems

INRA and CIRAD have launched the MEANS-InOut software, an operational and user-friendly tool to generate Life Cycle Inventories of the main crops and livestock systems. MEANS-InOut ensures that users do not forget any input, resource, waste, or pollutant flows and follow a consistent method to implement their inventories. MEANS-InOut remains under continual development to follow the evolution of sustainability assessment methods.
What are the major susceptibility factors for glaucoma progression

Elevated intraocular pressure (IOP) is a major risk factor for open angle glaucoma (OAG) and medical IOP reduction is the standard treatment, yet no randomised placebo-controlled study of medical IOP reduction has been undertaken previously. In the present thesis, the methodology, baseline characteristics and results from the United Kingdom Glaucoma Treatment Study (UKGTS), the first randomised, double-masked, placebo-controlled, multicentre treatment trial for OAG, are presented. Survival analysis shows a statistically significant difference in the time from baseline to the event of confirmed visual field progression in the medical treatment (latanoprost) group, as compared to placebo, over 24 months. The role of average IOP during follow-up, as a risk factor for progression, is evaluated. Median IOP, as measured by Goldmann Applanation Tonometry (GAT), Dynamic Contour Tonometry and the Ocular Response Analyzer, is significantly, but weakly, correlated with visual field progression. Corneal compensated IOP (IOPcc) is the best predictor of progression across all the UKGTS sites. While the addition of central corneal thickness (CCT) slightly improves the GAT IOP prediction model, CCT on its own is not a significant predictor of progression in the UKGTS. The role of mitochondrial dysfunction and oxidative stress as risk factors for glaucoma progression is investigated within an exploratory study. Experiments conducted on the lymphocytes of healthy subjects and patients, contrast individuals at the extremes of IOP susceptibility: rapidly progressing patients with Normal Tension Glaucoma (NTG) and non-progressing patients with Ocular Hypertension (OHT). The experimental data presented show, for the first time, that OHT patients may have more efficient mitochondria at a systemic level, when compared to age-similar NTG subjects and nonglaucomatous controls. Overall, OHT lymphocytes produce higher levels of ATP (Complex I and Complexes II/III), have higher mitochondrial membrane potential, enhanced capacity to deal with exogenous oxidative stress insults, higher serum levels of urate, a potent antioxidant, and are more capable of taking up and buffering cytosolic calcium, as compared to NTG and control lymphocytes. Lymphocytes from NTG patients, when compared to the OHT and control groups, show lower ATP synthesis from Complex IV, lower aconitase activity, lower serum levels of vitamin C, and enhanced antioxidant defence (SOD2). In conclusion, this study implicates the role of a) systemic oxidative damage and complex IV-linked mitochondrial defects in the pathogenesis of NTG and b) efficient systemic mitochondria in resistance to glaucomatous optic neuropathy development and progression, particularly in the context of OHT.
Improved factor analysis on factor spaces

In order to further improve the velocity and utilization of information containing in samples, Factor Analysis Algorithm(FAA) on factor spaces is improved in this paper. The primary algorithm obtains the pushing way by each column during choosing the next classified factor, by which a smaller decision domain is generated than that generated by the pushing way by each class, and the deletion of decision domain is critical in decreasing calculation and increasing the velocity of the algorithm.Hence, based on inheriting the merits of the initial algorithm, the pushing way by each column is changed into that by each class during choosing the next classified factor. This change not only decreases the calculation, but also raises the utilization of the sample information. The testing results also indicate that the improvement is significant and the testing accurate rate and velocity are both better than the primary algorithm.
A Survey of Controller Placement Problem in Software-Defined Networking

In order to simplify the management of the traditional network, software-defined networking (SDN) has been proposed as a promising paradigm shift that decouples control plane and data plane, providing programmability to configure the network. With the deployment and the applications of SDN, researchers have found that the controller placement directly affects network performance in SDN. In this paper, the state of the art of controller placement problem is surveyed from the perspective of optimization objective. First, we introduce the overview of SDN and controller placement problem. Then, we classify this paper of controller placement problem into four aspects (latency, reliability, and cost and multi-objective) depending on their objective and analyze specific algorithms in different application scenarios. Finally, we identify some relevant open issues and research challenge to deal with in the future and conclude the controller placement problem.
An Improved Algorithm for State Estimation Based on Maximum Normal Measurement Rate

Previous work has shown that the normal measurement rate based on measurement uncertainty is a credible evaluation index for state estimation when the true state is unknown.Then a new robust state estimation algorithm based on maximum normal measurement rate is proposed.By approximating the evaluation function,a nonlinearly continuous variable optimal model is developed,and the interior point algorithm is used to solve this model to obtain approximate results.Based on the above study,this paper proposed an improved algorithm by checking the consistency of abnormal measurements to obtain solutions with a higher normal measurement rate,and filtering the noise of normal measurements based on least square estimation with inequality constraints to obtain a more accurate solution.Numerical tests on different systems show the proposed algorithm is efficient for obtaining robust and accurate results,while the increased computing time is acceptable.
Three-dimensional triplet tracking for LHC and future high rate experiments

The hit combinatorial problem is a main challenge for track reconstruction and triggering at high rate experiments. At hadron colliders the dominant fraction of hits is due to low momentum tracks for which multiple scattering (MS) effects dominate the hit resolution. MS is also the dominating source for hit confusion and track uncertainties in low energy precision experiments. In all such environments, where MS dominates, track reconstruction and fitting can be largely simplified by using three-dimensional (3D) hit-triplets as provided by pixel detectors. This simplification is possible since track uncertainties are solely determined by MS if high precision spatial information is provided. Fitting of hit-triplets is especially simple for tracking detectors in solenoidal magnetic fields. The over-constrained 3D-triplet method provides a complete set of track parameters and is robust against fake hit combinations. Full tracks can be reconstructed step-wise by connecting hit triplet combinations from different layers, thus heavily reducing the combinatorial problem and accelerating track linking. The triplet method is ideally suited for pixel detectors where hits can be treated as 3D-space points. With the advent of relatively cheap and industrially available CMOS-sensors the construction of highly granular full scale pixel tracking detectors seems to be possible also for experiments at LHC or future high energy (hadron) colliders. In this paper tracking performance studies for full-scale pixel detectors, including their optimisation for 3D-triplet tracking, are presented. The results obtained for different types of tracker geometries and different reconstruction methods are compared. The potential of reducing the number of tracking layers and - along with that - the material budget using this new tracking concept is discussed. The possibility of using 3D-triplet tracking for triggering and fast online reconstruction is highlighted.
The Solution of Robust Total Least Squares for Linear Regression Models

Aiming at the situation that there are gross errors in the independent variable and dependent variable of the linear regression model,we propose the robust total least squares method.On the basis of the nonlinear adjustment model,we have deduced robust total least squares estimation calculation formula with selecting weight iteration through the equivalence transformation of the linear regression model.Finally,we apply the method to an example,and verify the feasibilities of the method.
Fuzzy Probability Model of Identification and Classification of Expansive Soil and Its Application

Based on the fuzzy probability theory,a new classification model of expansive soil was proposed.Some basic physical indices of expansion soil,such as standard absorption moisture,plasticity index,free swelling ratio,liquid limit and the content of colloidal particle less than 0.002 mm,were chosen as the main evaluating factors in the model.The classification of representative samples of expansive soil in Hefei-Lu'an-Yeji Expressway project was verified using this model.The analytical result agrees well with the practical records.Furthermore,the classification of samples of expansive soil in Guangxi Province and samples of expansive soil in Chinese other regions were also carried out by the proposed method.The results indicate that the fuzzy probability model of identification and classification of expansive soil performs excellently with high reliability and wide applicability and has good prospect in practical engineering.
Adaptive Traffic Management and Energy Cooperation in Renewable-Energy-Powered Cellular Networks

In this paper, we consider a cellular system, in which base stations (BSs) are powered by both on-grid and renewable energy sources. To efficiently utilize the harvested energy of the BSs, we study adaptive traffic management (TM) and energy cooperation (EC) that aim at minimizing the on-grid energy consumption, while guaranteeing minimum average throughputs. To achieve this, we develop an adaptive TM and EC algorithm that jointly decides the energy sharing among BSs, the user association to BSs, and the sub-channel and power allocation in BSs. Within the algorithm, a network scheduling problem, which is mixed-integer non-linear programming (MINLP), should be solved in each timeslot. To efficiently solve it, we develop a network scheduling algorithm applying generalized Benders decomposition (GBD) that optimally solves the MINLP problem. In addition, we also develop a heuristic network scheduling algorithm that has a much lower computational complexity than the GBD algorithm, while providing comparable performance. Through the numerical results, we show that our algorithms always outperform the algorithms that use only one of TM or EC regardless of the system conditions.
Improving the Performance of Sentiment Classification on Imbalanced Datasets With Transfer Learning

In recent years, many sentiments classification models, such as deep learning models and traditional machine learning models, claim that they can achieve state-of-the-art performance in sentiment analysis problems. Admittedly, this is based on the premise that the training samples are class balanced. However, in the real world, the training data sets we can get are often imbalanced, which will cause the trained classifier to tend to predict the test samples into a majority, making the recall of minority very low. In order to minimize the influence of the imbalanced data class on the model performance, a transfer learning method based on a convolution neural network is proposed in this paper. First, we use a CNN-based model for pre-training in the class-balanced source domain data set, before transferring the model to the target domain for fine-tuning to improve the recall of minority class; furthermore, we propose a transfer learning-based under-sampling technique, which can under-sample the majority class in the target domain. In the data set after under-sampling, we again fine-tune the pre-trained model, so that the recall and precision of the minority class have been greatly improved. The experiments on real-world data sets show that our proposed under-sampling method has obvious advantages compared with others.
Design of a comprehensive test bench for hydrostatic transmission

ABSTRACT. This paper aims to design a comprehensive test bench for hydrostatic transmission that satisfies the requirements in the Hydrostatic Transmission Device (JB/T 10831-2008). To adapt to the special shape of hydrostatic transmission, the modular positioning mode was adopted for the design, the virtual instrument measurement and control system software was compiled, and the data were collected, recorded, processed and analyzed automatically by computer. Then, the proposed comprehensive test bench was applied to a comprehensive test of the hydrostatic transmission system. In the test, the test bench effectively improved the test accuracy and efficiency, and the hydrostatic transmission reached the peak working efficiency under the rated pressure. The research results lay a solid basis for the test on the working conditions of hydrostatic transmission.
A study of Education 406 : an alternative model of university coursework based on the theory and practice of self-education

Abstract Education 406 i s offered through Undergraduate Programs in the Faculty o f Education, Simon Fraser University and is designed as a five credit, classroom-based course made up of four interrelated components: a supervised, field-based project; problem-solving seminars; input on the theory and practice of implementation; and related coursework or other content. I t i s intended to address a number of long standing limitations of "traditional" universi ty coursework , take advantage of existing strengths within the Faculty of Education and provide for maximum flexibi l i ty in delivery. This study describes and analyzes the design and implementation of Education 406 as an alternative model of university coursework based on the theory and practice of self-education. Education 406 draws from several fields of inquiry which are noted throughout the study. The literature review emphasizes_t& theory and a practice of self-education as a distinct area and as a theme which b pervades other fields from which the components of Education 406 are drawn. The basic principles of self-education and andragogy are outlined with an emphasis on the institutional applications of those principles. Self-education is discussed in the context of a post-industrial society and a case is made to view Education 406 as an example of program design well suited to the imperatives of life-long learning. Robert Stake's countenance model i s used as a template to track the antecedents, transactions and outcomes of the f i rs t three pi lot sect ions of Education 406 offered in the Spring of 1985. Observations in respect to A Study of Education 406 Abstract the planning and implemptation of the course were systematically collected over a two year time span. Participants in the pilot groups of Education 406 completed a detailed questionnaire at the end o f the course. Interviews and focus groups were conducted with selected students, instructors, and school distr ict personnel and the results of two major concurrent studies were analyzed to compare findings. These procedures form the basis for the findings and recommendations for future implementations. The study reports a high degree of client satisfaction and evidence to support the efficacy of more closely a1 igning university coursework and the professional development needs of teachers. It identifies five strengths of Education 406 and advocates further initiatives I n more fully integrating the principles ofiself-educati? $ . into the design of teacher education programs.
Stationary Waves on a Viscous Fluid Film down a Vertical Wall

A new type of solution is found for a nonlinear equation which describes the free surface of a viscous fluid film flowing down a vertical plane wall. A strongly nonlinear corrugation of the film surface concentrates in a small portion, and propagates downward with a constant velocity. Single waves observed experimentally can be considered as a train of such solitary waves.
Camera Calibration for High-Precision Measurement

In high-precision size measurement system,the traditional method using short-focus fixed focal length lens has large radial distortion that may affect the measurement accuracy.In order to improve the accuracy of the measurement system,a focusing model of fixed-focus lens of camera was established and cross-ratio invariant calibration method was proposed according to the linear imaging model of pinhole camera and the non-linear model of lens.The impact of small objective distance changes on measurement accuracy was studied,and the calibrated pixel equivalent coefficient was revised.The geometric projective transformation of lens was analyzed,and the distortion coefficients of lens were calibrated for realizing high-precision measurement.The experiment showed that the proposed algorithm is consistent with the result.
A Cultural Comparative Study of Mobile Banking Adoption Factors

ABSTRACT With the increasing popularity in smartphone usage, it is crucial for banks to offer mobile banking to allow their customers to perform banking transactions at their convenience. Banks need to understand which factors play an important role in encouraging or discouraging customers from using mobile banking. It is also important to investigate further whether bank customers’ perceptions on mobile banking are influenced by culture. This study compares mobile banking perceptions between consumers in the U.S. and in Thailand. Three hundred and fifty-five (355) respondents from the U.S. and four hundred (400) respondents from Thailand participated in this study. Seven mobile banking factors predicted to influence consumers’ attitude on the usage of mobile banking are investigated in this comparative study. The study finds six of these factors to be significant and also finds several factors that encourage and discourage U.S. and Thai consumers from using mobile banking.