Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated grading of student-designed GUI programs

In this article, the authors introduce an automated grader for Java programs, called GUI_Grader, which allows students a degree of flexibility in graphical user interface (GUI) design. A previously published solution limits student programs to a single window and forces instructors to make virtually all GUI design decisions. GUI_Grader allows students to build multi-window Java applications, choose among alternative GUI components, and decide how to order, position and label the components. Compared with other automated graders, this approach can be used further into the curriculum and supports important GUI design learning objectives. The data-driven approach also helps to maintain consistency between program specifications and test plans. Testing GUI_Grader on programming assignments from second-term courses confirms the usability of the approach.
Building Low-maintenance Expressways for P2P Systems

Recent P2P systems, represented by Oceanstore and PAST, offer an administration-free and fault-tolerant storage utility. Nodes in these systems collectively contribute towards a storage space, in a self-organizing fashion. While elegant from a theoretical perspective, they can be improved in three important areas: (i) low maintenance cost; (ii) the ability to make discriminative use of the nodes in the system that has different capacity and resource constraints; (iii) the ability to adapt to the underlying network conditions and the applications’ needs. In this paper, we explore “expressways” as an auxiliary mechanism to deliver high routing performance, leaving the baseline infrastructure concentrating on tasks such as efficient resource utilization and simple management. The basic ideas of our proposal are to divide the total space in the overlay network into topology areas of different spans; we then select candidates in these areas to collectively construct a balanced, self-organized expressway system. By archiving the relevant system information (e.g., physical coordinates of the nodes) as objects stored on the system itself, we can further tune the expressway dynamically to fit both physical network conditions and application needs. Using CAN as the target system, we show that expressways can easily boost its routing performance from O(N1/d) to O(ln N), while keeping CAN's low maintenance cost. Our simulation studies show that our techniques to tune the expressways toward network conditions reduce the routing latency to about 50% over the default “random strategy” while staying within 2-3 times of the optimal. Furthermore, our simple heuristics to adjust the expressways toward application behavior can further reduce the physical latency up to 19%. Our mechanisms are robust and flexible, irrespective to the physical distribution of the participating nodes.
Half U-Slot Loaded Semicircular Disk Patch Antenna for GSM Mobile Phone and Optical Communications

In the present paper, a dual frequency resonance antenna is achieved by introducing half U-shaped slot in semicircular disk. It is analysed by using circuit theory concept. The resonance frequency is found to be 1.50GHz and 2.32GHz, and the bandwidth of the proposed antenna for lower and upper resonance frequency is found to be 5.96% and 11.08% respectively. It is found that the resonance frequency depends inversely on the slot length and feed point, while it increases with increasing the slot width and coaxial probe feed radius. The frequency ratio is found to be 1.54. The theoretical results are compared with IE3D simulation as well as reported experimental results, and they are in good agreement.
Detection of Dangerous Magnetic Field Ranges from Tablets by Clustering Analysis

The paper considers the problem of the extremely low frequency magnetic field radiation generated by the tablet computers. Accordingly, the measurement of the magnetic field radiation from a set of tablets is carried out. Furthermore, the measurement results are analyzed and clustered according to the K-Medians algorithm to obtain different magnetic field ranges. The obtained cluster ranges are evaluated according to the reference level proposed by the TCO standard in order to define dangerous areas in the neighborhood of tablet, which are established during the typical work with tablet computers. Analysis shows that dangerous areas correspond to specific inner components of tablet, and gives suggestions to users for a safe usage of tablet and to companies producing tablet components for limiting the risk of magnetic field exposure.
Optical 3D μ-printing of polytetrafluoroethylene (PTFE) microstructures

This paper reports a novel 3D micro-printing (μ-printing) method for polytetrafluoroethylene (PTFE) microstructures by using optical maskless exposure and thermal decomposition technologies. PTFE nanoparticles were mixed with polymer monomer to form a UV curable colloidal mixture, which can be cured layer-by-layer to form 3D microstructures by using an optical maskless exposure system. The micro structure s were dried and sintered to remove solvent and other polymer except PTFE. 3D PTFE microstructures with nanopores ranging from tens to hundreds of nanometers were fabricated for the first time. Based on its super-hydrophobic property, PTFE bionic insect was fabricated to demonstrate the super weight-carrying ability on the water surface. The printable PTFE microstructures have great potential in medical implants, chemically inert micro reactors/filters, and microfluidics control applications.
Proof of correctness of a transparent design abstraction

Amalia is a generator framework for constructing analzers f o operationally defined formal notations. In performing an anal ysis, an Amalia-generated analyzer constructs and evaluates a netw ork of collaborating objects, called an i ference graph . The key result of this paper is a proof of correctness of inference graphs. Experience shows that it can be difficult to “wrap one’s mind” around complex collaborations, such as those carried out by inference graphs. Moreover, many of the programming techniques ( e.g, mixin classes and the visitor pattern) that are used in imple enting inference graphs lack mature proof techniques. We therefor e develop a formal model of inference graphs to use in the proof. T his model is: (1) abstract enough to permit reasoning about the f unctional behavior of an inference graph and yet (2) not so abstr ct hat its fidelity cannot be discharged by inspection. Such a highfidelity model is said to betransparent . The transparent model of an inference graph aids understanding and enables us to structure th e proof to conform to the collaborative nature of the graph.
Energy-aware algorithms for network-assisted device-to-device content delivery networks

Due to explosively growing demands for mobile contents, network-assisted device-to-device (D2D) content delivery networks (CDNs) have emerged as an ancillary resource for content services. The key characteristics of the network system is that mobile devices are used as cache servers for localized content delivery via D2D communication that controlled by a cellular network. Recently, a few studies have reported that it can provide better content delivery performance at a low cost. However, mobile devices operating as cache servers have to inevitably make sacrifices for energy consumption by delivering requested contents to neighboring requesters. In this paper, we tackle the critical problem and finally propose two energy-aware algorithms: request routing and MAC scheduling. Simulation results exhibit that the algorithms can reconcile conflicting objectives such as extending the D2D network lifetime and achieving good content delivery performance.
Health and Economic Mobility

There is ample evidence that health and wealth are related, and it is possible that health helps drive? or hinder? economic mobility. This review considers the literature linking parents? health to children? s economic mobility, as well as the links between health (and health insurance costs) and labor market outcomes. It also examines literature on other pathways through which health may influence mobility, including potential links between poor childhood health and lowered educational achievement. (Review 6 of 11.)
Drop-The-Loser: A practical bayesian adaptive design for a clinical trial of citalopram for cocaine use disorder

Background: Bayesian adaptive designs have the potential to change the way clinical research is conducted. These novel study designs can answer the same questions as traditional efficacy trials but with potential advantages in terms of flexibility and efficiency. The Bayesian adaptive drop-the-loser (DTL) design is particularly applicable in trials where there are uncertainties regarding which treatment/dose level to test further. Aims: This paper describes steps taken in planning an ongoing DTL randomized clinical trial of citalopram for the treatment of cocaine use disorder, including the design rationale, simulation study, and pruning criteria. Method and results: Participants of this single site, double-blind, randomized controlled trial are assigned to either citalopram 20 mg/day, 40 mg/day, or placebo for 9 weeks. The primary outcome measure is longest duration of abstinence (LDA) based on urine drug screens. A planned interim analysis at 50% of data gathering will drop or “prune” the active medication group that is performing least well, based on pre-specified decision rules. Bayesian simulation results show that this adaptive design allocates more subjects to the ‘best efficacy’ dose condition with satisfactory power and Type I error rates. Discussion: Employing the proposed DTL design is likely to yield the same conclusions as the classical fixed (non-adaptive) design, but with greater statistical precision for estimating treatment effects. We discuss advantages of DTL for speeding up efforts underway to identify and test new medications to treat cocaine dependence. We also discuss logistical considerations and lessons learned from designing and implementing this trial. Correspondence to: Joy M. Schmitz, Center for Neurobehavioral Research on Addiction, Department of Psychiatry and Behavioral Sciences, UTMcGovern Medical School, Houston TX 77054, USA, Tel: 713-486-2867; Email: Joy.M. Schmitz@uth.tmc. edu
Subjective partial cooperation in multi-agent local search

A partial cooperative model that was recently proposed offers a balance between the two extreme scenarios commonly assumed in multi-agent systems, either completely competitive or fully cooperative agents. Partial cooperative agents act cooperatively in a distributed search process, as long as the outcome satisfies some threshold on their personal utility, otherwise, they act selfishly. While personal thresholds formalize intentions for cooperation in the existing model, inter agent relationships are not considered, although in realistic scenarios agents are often willing to act more cooperatively in their interactions with specific agents than with others, i.e., they have subjective cooperation intentions. We propose an extension to the partial cooperative model by introducing subjective intentions for cooperation. When making decisions on whether to perform cooperative actions agents take into consideration the identity of the agents these actions affect. A preliminary experimental evaluation demonstrates the advantage algorithms that consider the model have over algorithms that do not.
SeeSS: seeing what i broke -- visualizing change impact of cascading style sheets (css)

Cascading Style Sheet (CSS) is a fundamental web language for describing the presentation of web pages. CSS rules are often reused across multiple parts of a page and across multiple pages throughout a site to reduce repetition and to provide a consistent look and feel. When a CSS rule is modified, developers currently have to manually track and visually inspect all possible parts of the site that may be impacted by that change. We present SeeSS, a system that automatically tracks CSS change impact across a site and enables developers to easily visualize all of them. The impacted page fragments are sorted by severity and the differences before and after the change are highlighted using animation.
Comparing the Effectiveness of Patient Control Analgesia Pump and Bolus Morphine in Controlling Pain After Cardiopulmonary Bypass Graft Surgery

Background Postoperative pain is a complex process commonly caused by surgical trauma. It is one of the major concerns of patients undergoing heart surgery. Despite new techniques and modern analgesic treatments, postoperative pain is still one of the most important controversial issues. Methods 68 patients scheduled for elective CABG with CPB were included in a prospective, double-blind clinical trial. They were randomly divided into two groups. One group received PCA pump including morphine (group P) with underlying infusion of 0.02 mg/kg/Qh, bolus dose of 1 mg, lockout time of 15 minutes, and a maximum of 4 bolus of 0.02 mg/kg for one hour and the other group received morphine bolus (group B). Three patients were excluded from the study, and 33 and 32 patients participated in the groups P and B, respectively. Variables including age, gender, pump time, aortic clamp time, duration of surgery, complications (nausea and vomiting, GI Bleeding, and hypoxia), level of pain based on VAS, opioid consumption, hemodynamic, and sedation status were measured in both groups. Results There was no significant difference between the groups regarding age, gender, pump time, clamp time, duration of surgery, complication, sedation score, and hemodynamic status in most of the assessment periods. By assessing the pain severity in the groups at different periods, results showed a significant difference between the groups except at enrollment, and a lower severity of pain was noted in the group P compared to the group B. The consumed opioid was significantly higher in the group P than in the group B. However, higher doses of diclofenac and paracetamol were administered in the group B compared to the group P. Conclusions Results showed that higher morphine would be used in patients with PCA pump after extubation following heart surgery, and this increased dose of opioid was associated with better pain control and lack of complication. Therefore, PCA pump with underlying infusion could be effectively used in patients undergoing CABG that are directly assessed in intensive care unite.
Antioxidant Properties of Selected Wild Plants

The antioxidant properties of 4Jordanian plant extracts were studied by chemical assays of total antioxidant capacity and ferric reducing power. The extracts total phenols and flavonoids contents were also determined. The plant methanolic extracts were found to have different levels of antioxidantactivities in the assays tested. Considering the overall antioxidant activities, the studied plants were arranged in the following decreasing order of their antioxidant strength; Pictacia palaestina>Hypericum triquetrifolium> Arbutus andrachne> Ceratonia siliqua.The antioxidant activities of studied plants wereexplained by their content of total phenols& flavonoids.
Abigaille-I: Towards the development of a spider-inspired climbing robot for space use

This paper presents the design and testing of Abigaille-I, a spider-inspired robot. The system is miniaturized and has six legs and 18 actively controlled joints. Macro-, micro- and nano-structural design of the robot legs and feet are presented and preliminary experimental results are discussed. The long-term objective of this research is to develop an autonomous and miniaturized robotic system capable to negotiating terrain of any roughness and material and be eventually capable of operating in a space environment.
Thru-Reflect-Line: An Improved Technique for Calibrating the Dual Six-Port Automatic Network Analyzer

In an earlier paper, the use of a "thru-short-delay" (TSD) technique for calibrating the dual six-port automatic network analyzer was described. Another scheme required only a length of precision transmission line and a "calibration circuit. " The better features of these two somewhat different approaches have now been combined and the requirement for either a known short, or a "calibration circuit" eliminated. This paper will develop the theory for this new procedure.
Dentatorubropallidoluysian atrophy in Chinese.

BACKGROUND Dentatorubropallidoluysian atrophy (DRPLA) is a rare, autosomal dominant neurodegenerative disease characterized by a range of clinical manifestations, including cerebellar ataxia, epilepsy, myoclonus, choreoathetosis, and dementia. Outside the Japanese population, the prevalence is extremely low worldwide. The reason for different ethnic prevalences of DRPLA is unclear. A previous assumption was that large normal alleles contribute to generation of expanded alleles and the relative frequencies of DRPLA. OBJECTIVES To describe the clinical, radiological, and genetic features of the first reported Chinese family with DRPLA, to our knowledge, and to compare the size distribution of normal alleles at the DRPLA locus in healthy Chinese individuals with that of other ethnic groups. PATIENTS AND METHODS Of 80 Chinese kindreds with autosomally dominant spinocerebellar ataxias, 1 pedigree with 2 affected patients was found by polymerase chain reaction to carry the characteristic DRPLA mutation. The allele frequencies of different CAG repeat lengths at the DRPLA locus in 225 healthy Chinese individuals were also analyzed and compared with Japanese, white, and African American distributions. RESULTS The clinical presentations of the 2 Chinese patients affected with DRPLA are similar to those described in Japanese patients, except that the affected father exhibited myoclonus but not chorea. Although the normal DRPLA allele size is distributed similarly in Chinese and Japanese populations, DRPLA in Chinese individuals is rare. Thus far, to our knowledge, only 1 intermediate-sized allele containing more than 30 CAG repeats has been reported among healthy Chinese individuals, in contrast to 3 among Japanese populations. CONCLUSION The ethnic prevalence of DRPLA seems to be correlated with the prevalence of intermediate-sized alleles in individual populations.
Phylogenetic Implications of the Multiple Losses of the Mitochondrial coxII.i3 Intron in the Angiosperms

Previous studies have shown that the mitochondrial coxII.i3 intron is absent in all rosids examined, in Philadelphus (Hydrangeaceae, Cornales), and in Catharanthus and Vinca (Apocynaceae, Gentianales). We surveyed for the presence or absence of this intron in 177 species representing all orders of angiosperms, where it is primitively present. The intron appears to have been lost independently in Gnetales, Laurales, Zingiberales, Ranunculales, Saxifragales, rosids, Santalales, Caryophyllales, Ericales, Cornales, Gentianales, Lamiales, Boraginales, Aquifoliales, Asterales, Dipsacales, as well as in the genus Escallonia. Depending upon the phylogenies used to interpret the losses, and due to lack of resolution in some groups, the intron could have been lost up to 27 times in the angiosperms (excluding the loss in Gnetales). The losses sometimes corroborate the monophyly of groups (rosids and Lamiales) or of subgroups within orders (in the Ranunculales, Caryophyllales, Cornales, Gentianales, and Asterales). In other groups, such as the Saxifragales, Ericales, and Dipsacales, the patterns of losses are more complex and would require further study. The presence or absence of the coxII.i3 mitochondrial intron seems a useful phylogenetic marker in some groups, but caution in interpretation is needed as multiple parallel losses have occurred throughout the angiosperms.
Automatic road extraction from aerial images: A contemporary survey

This paper describes a contemporary literature review outcomes on automatic road extraction from aerial images. The main focus is on automatic road extraction, but it also discusses the possible extension on automatic extraction of other man-made objects, such as buildings, dams, swimming pools, etc. This paper first discusses the background of the topic, including the difficulties of the problem and the evaluation methods. Then five typical method currently proposed for road extraction are reviewed. Technical details are critically reviewed for future reference and comparison. The advantages and disadvantages of each approach are discussed. Based on this discussion, future work and possible methods are suggested. Index Terms — Review, automatic road extraction, aerial images.
Fast Room-Temperature Detection of Terahertz Quantum Cascade Lasers with Graphene-Loaded Bow-Tie Plasmonic Antenna Arrays

We present a fast room-temperature terahertz detector based on interdigitated bow-tie antennas contacting graphene. Highly efficient photodetection was achieved by using two metals with different work functions as the arms of a bow-tie antenna contacting graphene. Arrays of the bow-ties were fabricated in order to enhance the responsivity and coupling of the incoming light to the detector, realizing an efficient imaging system. The device has been characterized and tested with a terahertz quantum cascade laser emitting in single frequency around 2 THz, yielding a responsivity of ∼34 μA/W and a noise-equivalent power of ∼1.5 × 10–7 W/Hz1/2.
Online and Stochastic Learning with a Human Cognitive Bias

Sequential learning for classification tasks is an effective tool in the machine learning community. In sequential learning settings, algorithms sometimes make incorrect predictions on data that were correctly classified in the past. This paper explicitly deals with such inconsistent prediction behavior. Our main contributions are 1) to experimentally show its effect for user utilities as a human cognitive bias, 2) to formalize a new framework by internalizing this bias into the optimization problem, 3) to develop new algorithms without memorization of the past prediction history, and 4) to show some theoretical guarantees of our derived algorithm for both online and stochastic learning settings. Our experimental results show the superiority of the derived algorithm for problems involving human cognition.
Road Noise Auralisation for Planning New Roads

This paper introduces a method to create auralisations involving road noise. The method has evolved over some years now and is based on binaural recordings of real vehicle recordings. The overall purpose is to make exact and reliable sound presentations for people living next to planned, expanded or remodelled motorways. Among others, The Danish Road Administration has experienced that explaining future noise with graphs, noise maps and words leaves a large group of the population frustrated – Simply because they have no prerequisites to understand these terms. Even in cases where noise is reduced, this is not really trusted by some neighbours. We believe that auralisations based on accurate terrain modelling and pass-by sound recordings of real vehicles are the feasible way to involve more people in the debate of future road projects. It certainly can give most of the population a sense of the noise induced annoyance, they are facing. Thus, auralisations are an important and a supportive tool to add to ordinary noise maps etc. Additionally, auralisations have shown very powerful in explaining general acoustic terms and sound propagation e.g. the influence of wind direction and speed, the effect of noise reducing surfaces, and noise barriers.