Miracle-dz/UniFAR-FTUs huggingface dataset:
FAB: Framework for Analyzing Benchmarks

Performance evaluation is an integral part of computer architecture research. Rigorous performance evaluation is crucial in order to evaluate novel architectures, and is often carried out using benchmark suites. Each suite has a number of workloads with varying behavior and characteristics. Most analysis is done by analyzing the novel architecture across all workloads of a single benchmark suite. However, computer architects studying optimizations of specific microarchitectural components, require evaluation of their proposals on workloads that stress the component being optimized across multiple benchmark suites. In this paper, we present the design and implementation of FAB - a framework built with Pin and Python based workflow. FAB allows user-driven analysis of benchmarks across multiple axes like instruction distributions, types of instructions etc. through an interactive Python interface to check for desired characteristics, across multiple benchmark suites. FAB aims to provide a toolkit that would allow computer architects to 1) select workloads with desired, user-specified behavior, and 2) create synthetic workloads with desired behavior that have a grounding in real benchmarks.
A Practical Approach to Teaching-Learning for Undergraduate Students: Governance of ICT directed to the Federal Public Administration (FPA)

The optional discipline "Governance of ICT directed to the Federal Public Administration (FPA)" in the curricular structure of the undergraduate courses in Information Systems and Computer Science of Institution X aims to analyze the dimensions (High Administration, Strategies and Plans, Information, People, Processes and Results of Management) in which the survey of the ICT Governance situation in the FPA is carried out. This article presents a practical approach that exemplifies the application of the knowledge acquired as a study of the programmatic content of the discipline. The programmatic content and its importance were evaluated through the application of a questionnaire to the students. The responses revealed that the teaching approach used and the content viewed added knowledge and are useful for training the ICT professional.
Using genotyping‐by‐sequencing to predict gender in animals

Summary Gender assignment errors are common in some animal species and lead to inaccuracies in downstream analyses. Procedures for detecting gender misassignment are available for array‐based SNP data but are still being developed for genotyping‐by‐sequencing (GBS) data. In this study, we describe a method for using GBS data to predict gender using X and Y chromosomal SNPs. From a set of 1286 X chromosomal and 23 Y chromosomal deer (Cervus sp.) SNPs discovered from GBS sequence reads, a prediction model was built using a training dataset of 422 Red deer and validated using a test dataset of 868 Red deer and Wapiti deer. Prediction was based on the proportion of heterozygous genotypes on the X chromosome and the proportion of non‐missing genotypes on the Y chromosome observed in each individual. The concordance between recorded gender and predicted gender was 98.6% in the training dataset and 99.3% in the test dataset. The model identified five individuals across both datasets with incorrect recorded gender and was unable to predict gender for another five individuals. Overall, our method predicted gender with a high degree of accuracy and could be used for quality control in gender assignment datasets or for assigning gender when unrecorded, provided a suitable reference genome is available.
Visitor loyalty towards cultural creative attractions: the role of collectivism and indulgence

ABSTRACT This study examines visitor loyalty towards cultural creative attractions, comprising three determinants: visitor satisfaction, perceived value, and experience of quality, and expands on this accepted approach to include the impact of the cultural values’ dimensions of collectivism and indulgence. The target sample included participants from cultural-based creative attractions in Bali and Bandung, Indonesia. This study employed self-administered questionnaires distributed to participants immediately following cultural creative attractions/performances and 403 completed surveys were collected. Using Partial Least Square SEM to analyze the data, this study confirms that experience quality, is the key factor in influencing visitor loyalty in cultural creative attractions. Further, the results of this study emphasize the role of collectivism and indulgence as cultural factors that strengthen experience quality and indirectly influence visitor loyalty. The findings of this study present an improved understanding for both theoreticians and managers alike on how visitor loyalty towards a cultural creative attraction is formed.
Hierarchical taxi dispatch system with local coordination among micro-level components: WIP abstract

Taxi drivers face to poor working conditions such as low wages and long working hours. To improve the conditions, a taxi dispatch system is very important. F. Miao et al. proposed a method for calculating an optimal taxi cruising path based on the model predictive control and the new parameter of supply demand ratio [1]. T. Ushio et al. proposed a method for calculating an optimal taxi cruising path based on a mixed logical dynamical model [2]. X. Chen et al. proposed a hierarchical taxi-dispatch system consisting of global and regional decision-makers [3]. The global decision-maker calculates the optimal taxi dispatch in a longer time period, while the regional ones determine schedules of taxis in the corresponding regions in a shorter time period. However, these previous mechanisms have lower scalability and real-time properties. To tackle these problems, we propose a novel hierarchical support system for a taxi dispatch system. In our proposal, a macro level component calculates the optimal taxi movement by using a taxi flow model, whereas micro level components determine the optimal taxi cruising in the corresponding regions. Both of them are conducted in the same time period.
Crystal structure of the coiled‐coil domain of Drosophila TRIM protein Brat

Drosophila brain tumor (Brat) is a translational repressor belonging to the tripartite motif (TRIM) protein superfamily. During the asymmetric division of Drosophila neuroblasts, Brat localizes at the basal cortex via direct interaction with the scaffolding protein Miranda (Mira), and segregates into the basal ganglion mother cells after cell division. It was previously reported that both the coiled‐coil (CC) and NHL domains of Brat are required for the interaction with Mira, but the underlying structural basis is elusive. Here, we determine the crystal structure of Brat‐CC domain (aa 376‐511) at 2.5 Å, showing that Brat‐CC forms an elongated antiparallel dimer through an unconventional CC structure. The dimeric assembly in Brat‐CC structure is similar to its counterparts in other TRIM proteins, but Brat‐CC also exhibits some distinct structural features. We also demonstrate that the CC domain could not bind Mira by its own, neither does the isolated NHL domain of Brat. Rather, Brat binds to Mira through the CC‐NHL domain tandem, indicating that the function of the CC domain is to assemble Brat‐NHL in dimeric form, which is necessary for Mira binding.
Colicins and Salmocins – New Classes of Plant-Made Non-antibiotic Food Antibacterials

Recently, several plant-made recombinant proteins received favorable regulatory review as food antibacterials in the United States through the Generally Recognized As Safe (GRAS) regulatory procedure, and applications for others are pending. These food antimicrobials, along with approved biopharmaceuticals and vaccines, represent new classes of products manufactured in green plants as production hosts. We present results of new research and development and summarize regulatory, economic and business aspects of the antibacterial proteins colicins and salmocins as new food processing aids.
Behavior-driven Load Testing Using Contextual Knowledge - Approach and Experiences

Load testing is widely considered a meaningful technique for performance quality assurance. However, empirical studies reveal that in practice, load testing is not applied systematically, due to the sound expert knowledge required to specify, implement, and execute load tests. Our Behavior-driven Load Testing (BDLT) approach eases load test specification and execution for users with no or little expert knowledge. It allows a user to describe a load test in a template-based natural language and to rely on an automated framework to execute the test. Utilizing the system's contextual knowledge such as workload-influencing events, the framework automatically determines the workload and test configuration. We investigated the applicability of our approach in an industrial case study, where we were able to express four load test concerns using BDLT and received positive feedback from our industrial partner. They understood the BDLT definitions well and proposed further applications, such as the usage for software quality acceptance criteria.
Promotion for Performance? The working incentive of Chinese provincial environmental agency heads in pollution reduction

Promotion is argued to be the primary working incentive for Chinese officials. Different from previous studies that focus on the provincial governors and party secretaries, this paper makes the first attempt to examine whether the career turnover of China's provincial environmental agency heads (PEAHs) is affected by the environmental performance within their jurisdictions. The results show that the performance in reducing nationally targeted pollutants—i.e., sulfur dioxide (SO2) and chemical oxygen demand (COD)—is not necessarily correlated with political turnover, which only depends on political factors such as the age when assuming office, tenure of the office, and if they are local people. Therefore, a lack of promotion incentive is found among China's PEAHs in local environmental management. Their working incentive is straightforward top-down control, making them merely the implementers of economy-dominated local public policy. A more robust and transparent performance management system, to connect the provincial environmental performance with the PEAH's political career, is supposed to be beneficial for China's environmental management.
Enhancing transactional memory execution via dynamic binary translation

Transactional Synchronization Extensions (TSX) have been introduced for hardware transactional memory since the 4th generation Intel Core processors. TSX provides two software programming interfaces: Hardware Lock Elision (HLE) and Restricted Transactional Memory (RTM). HLE is easy to use and maintains backward compatibility with processors without TSX support, while RTM is more flexible and scalable. Previous researches have shown that critical sections protected by RTM with a well-designed retry mechanism as its fallback code path can often achieve better performance than HLE. More parallel programs may be programmed in HLE, however, using RTM may obtain greater performance. To embrace both productivity and high performance of parallel programs with TSX, we present a framework built on QEMU that can dynamically transform HLE instructions in an application binary to fragments of RTM codes with adaptive tuning on the fly. Compared to HLE execution, our prototype achieves 1.56 x speedup with 8 threads on average. Due to the scalability of RTM, the speedup will be more significant as the number of threads increases.
Vagal schwannomas of the head and neck: A comprehensive review and a novel approach to preserving vocal cord innervation and function

Schwannomas, benign tumors arising from neurolemmocytes, are the most common type of peripheral nerve tumors. Extracranial schwannomas are most often found in the parapharyngeal space, commonly involving the vagus nerve to cervical sympathetic trunk. Vagal schwannomas present several unique clinical and therapeutic challenges.
High-throughput Phenotyping for Abiotic Stress Resilience in Cereals

Around 70 percent of crop yield losses are projected because of climate induced abiotic stresses like moisture stress, soil salinity and heat stress. Critical to the stability of cropping systems in the face of climate change is the capacity to rapidly grow germplasm with tolerance to complex polygenic inherited abiotic and biotic stresses combined. Molecular breeding provides the means to speed up cereal breeding, but adequate phenotyping protocols are required to ensure that the much-anticipated benefits of novel breeding tools can be realized. Tremendous advances in phenomics have taken place in the recent past. Both forward and reverse phenomics have developed to help determine either the best genotype with the desired feature or mechanism and the genes that make the genotype the best. High-throughput phenomics studies include techniques for screening substantial germplasm sets for a specific trait using high-throughput phenotyping (HTP) technologies like advanced robots, high-tech sensors, 3D imaging, fluorescence imaging, NIR imaging, lemnatec, etc. The high velocity of plant phenotyping based on phenomics accelerates the selection phase of potential advanced germplasm resilient towards climate induced stresses.
A Bidirectional Label Propagation Based Computational Model for Potential Microbe-Disease Association Prediction

A growing number of clinical observations have indicated that microbes are involved in a variety of important human diseases. It is obvious that in-depth investigation of correlations between microbes and diseases will benefit the prevention, early diagnosis, and prognosis of diseases greatly. Hence, in this paper, based on known microbe-disease associations, a prediction model called NBLPIHMDA was proposed to infer potential microbe-disease associations. Specifically, two kinds of networks including the disease similarity network and the microbe similarity network were first constructed based on the Gaussian interaction profile kernel similarity. The bidirectional label propagation was then applied on these two kinds of networks to predict potential microbe-disease associations. We applied NBLPIHMDA on Human Microbe-Disease Association database (HMDAD), and compared it with 3 other recent published methods including LRLSHMDA, BiRWMP, and KATZHMDA based on the leave-one-out cross validation and 5-fold cross validation, respectively. As a result, the area under the receiver operating characteristic curves (AUCs) achieved by NBLPIHMDA were 0.8777 and 0.8958 ± 0.0027, respectively, outperforming the compared methods. In addition, in case studies of asthma, colorectal carcinoma, and Chronic obstructive pulmonary disease, simulation results illustrated that there are 10, 10, and 8 out of the top 10 predicted microbes having been confirmed by published documentary evidences, which further demonstrated that NBLPIHMDA is promising in predicting novel associations between diseases and microbes as well.
TA-CLOCK: Tendency-Aware Page Replacement Policy for Hybrid Main Memory in High-Performance Embedded Systems

Recently, high-performance embedded systems have adopted phase change memory (PCM) as their main memory because PCMs have attractive advantages, such as non-volatility, byte-addressability, high density, and low power consumption. However, PCMs have disadvantages, such as limited write endurance in each cell and high write latency compared to DRAMs. Therefore, researchers have investigated methods for enhancing the limitations of PCMs. In this paper, we propose a page replacement policy called tendency-aware CLOCK (TA-CLOCK) for the hybrid main memory of embedded systems. To improve the limited write endurance of PCMs, TA-CLOCK classifies the page access tendency of the victim page through access pattern analysis and determines the migration location of the victim page. Through the classification of the page access tendency, TA-CLOCK reduces unnecessary page migrations from DRAMs to PCMs. Unnecessary migrations cause an increase in write operations in PCMs and the energy consumption of the hybrid main memory in embedded systems. Thus, our proposed policy improves the limited write endurance of PCMs and enhances the access latency of the hybrid main memory of embedded systems by classifying the page access tendency. We compared the TA-CLOCK with existing page replacement policies to evaluate its performance. In our experiments, TA-CLOCK reduced the number of write operations in PCMs by 71.5% on average, and it enhanced the energy delay product by 38.3% on average compared with other page replacement policies.
Design a Real-Time Eye Tracker

An eye tracker is a device for measuring eye positions and eye movement. During the past decades, various approaches have been presented for eye tracking systems such as helping disabled people in various tasks including communication, writing emails, and drawing, besides other applications such as cognitive studies, electronic games and commercial eye trackers. The eye tracking devices and the algorithms that track the gaze still need an improvement. Many critical problems arise from the fact that the eye tracker system does not retain its accuracy for a long period of time. Besides, the fact that the commercial eye trackers are expensive. The aim of this research work is to develop a typing by gaze system using a PS3 camera. The developed typing by gaze system uses eyes' gaze for typing on a virtual keyboard. As well, the developed system is tested using a built-in laptop camera and a mounted PS3 camera on an eyeglass. First, the system will detect the face from the video stream. Followed by eyes' pupil detection and tracking which has been achieved using template-matching technique and adaptive EigenEye method. In addition, a virtual keyboard has been designed based on a laptop-size keyboard with QWERTY layout. After the eye pupil is tracked, the system will take control of the mouse's cursor movement. Then the eye's gaze will become the pointing device and the selection of the focused key or button will be achieved by using dwell-time of 0.5seconds. The developed eye tacker is an affordable device and it has retained a good typing accuracy either by using the PS3 or the laptop camera. Hence, it can be used for several applications and especially for research purposes.
Dietary Lysine Requirements of Colossoma Macropomum (Cuvier, 1818) Based on Growth Performance, Hepatic and Intestinal Morphohistology and Plasma Biochemistry

This study aimed to determine the dietary lysine requirements of juvenile Colossoma macropomum tambaqui based on growth performance. We also evaluated gut and hepatic histomorphometry as well as blood metabolites in accordance with the increased levels of dietary lysine. The juveniles (33.88 ± 2.47 g) were fed until apparent satiation with diets containing 6.60, 9.72, 12.84, 15.96, 19.08 and 22.20 g/kg of lysine. Fish were randomly distributed in groups of 10 fish per tank and assays were performed in triplicate, during 90 days. Tambaqui fed with 15.96 g/kg dietary lysine showed higher final weight (p = 0.001) and optimized feed conversion ratio (p = 0.001). Morphohistological modifications were present in livers of fish fed with low levels of lysine. In the proximal intestine, mucosa layer density was greater at the level of 15.96 g/kg (p = 0.001). In the middle intestine, height (p = 0.001) and perimeter (p = 0.001) of the villi were greater at low levels of lysine (respectively, 9.72 and 12.84 g/kg dietary lysine). Tambaqui fed with 15.96 g/kg of lysine achieved higher plasma protein concentrations (p = 0.01). Using the second-order polynomial regression analysis as support, and based on protein efficiency rate and body weight gain, dietary lysine requirement for juvenile tambaqui was calculated as 15.4–15.6 g/kg of diet (5.7–5.8% of dietary protein).
Open Government Data Usage Overview: A Systematic Literature Mapping

Open Government Data (OGD) is a practice that has become widespread and has brought countless benefits to both government and citizens. The Open Government Partnership is a group formed by over 60 countries, all countries sharing the same purpose: A plan to define open data by following a list of requirements. However, the number of open datasets is still low and does not have the minimum level of quality and technique. The Open Data initiative still faces a large number of challenges to become reality. The goal of this study is to map and characterize the main barriers prevent OGD, exposing the mitigation forms found in literature papers, as well as identifying which sectors of public administration have a higher incidence of publication on OGD. In order this, it was realized a Systematic Literature Mapping (SLM), resulting in 85 relevant papers able to response 3 Research Questions. The SLM identified 6 main barriers: Public Engagement; Culture; Economic; Political and Technical, where it is highlighted Education, Health and Finances as public sector areas with Open Data major publication incidence. The Open Government Directive, a guidelines series, published in 2009 by Ex-President of United States of America, Barack Obama is the factor most quoted in literature as barrier mitigation way in OGD implementation.
Intrusion Detection via Multilayer Perceptron using a Low Power Device

This work investigates the use of Multi-layered Perceptron Networks (MLP) for attack detection, using the Arduino embedded system as a case study. This paper also investigates techniques to reduce the computational cost of ANN (Artificial Neural Networks), taking into account the low cost and low consumption requirements in order to ensure the feasibility of its implementation. As a result, we evaluated the MLP networks using metrics such as accuracy, precision, and coverage, as well as the classifier performance running on Arduino through time measurements (microseconds).
Difficulties with emotion regulation as a transdiagnostic mechanism linking child maltreatment with the emergence of psychopathology

Abstract Childhood maltreatment is associated with increased risk for most forms of psychopathology. We examine emotion dysregulation as a transdiagnostic mechanism linking maltreatment with general psychopathology. A sample of 262 children and adolescents participated; 162 (61.8%) experienced abuse or exposure to domestic violence. We assessed four emotion regulation processes (cognitive reappraisal, attention bias to threat, expressive suppression, and rumination) and emotional reactivity. Psychopathology symptoms were assessed concurrently and at a 2-year longitudinal follow-up. A general psychopathology factor (p factor), representing co-occurrence of psychopathology symptoms across multiple internalizing and externalizing domains, was estimated using confirmatory factor analysis. Maltreatment was associated with heightened emotional reactivity and greater use of expressive suppression and rumination. The association of maltreatment with attention bias varied across development, with maltreated children exhibiting a bias toward threat and adolescents a bias away from threat. Greater emotional reactivity and engagement in rumination mediated the longitudinal association between maltreatment and increased general psychopathology over time. Emotion dysregulation following childhood maltreatment occurs at multiple stages of the emotion generation process, in some cases varies across development, and serves as a transdiagnostic mechanism linking child maltreatment with general psychopathology.