Miracle-dz/UniFAR-FTUs huggingface dataset:
E-assessment and software testing

Purpose – To overcome the high manual effort of assessments for teaching personnel, e‐assessment systems are used to assess students using information systems (IS). The purpose of this paper is to propose an extension of EASy, a system for e‐assessment of exercises that require higher‐order cognitive skills. The latest module allows assessing programming exercises in conjunction with particular test‐driven‐development and back‐to‐back testing.Design/methodology/approach – EASy was developed following a design science research approach. To prove the effectiveness of the approach, the authors discuss findings from a survey that was conducted with almost 200 students from a programming lecture and present quantitative and qualitative findings.Findings – Most students reflected positively on using EASy. EASy proves to be a versatile tool and the extension meets the authors' aims. Several details require further investigation, most notably usability and the support of tutors.Research limitations/implications –.
Path planning in the presence of vertical obstacles

Consideration is given to the problem of finding a shortest path between two points in 3-D space with a restricted class of polyhedral obstacles (vertical buildings with a fixed number k of distinct heights). For the case when all the obstacles have equal heights, a shortest-path algorithm is presented with complexity O(n/sup 2/), i.e. the same complexity as for the 2-D case (n is the total number of corners in all the obstacles). For the general case (k distinct heights), an algorithm is presented for finding a shortest path in time O(n/sup 6k-1/). Also presented is an O(n/sup 2/) approximation algorithm that finds paths that are, at most, 8% longer than the shortest path for the case of k distinct heights when certain minimum separation requirements are satisfied, and a description is given of how the approximation algorithm can be extended to the general case (arbitrary separations). >
Replication Properties of Human Adenovirus In Vivo and in Cultures of Primary Cells from Different Animal Species

ABSTRACT Oncolytic adenoviruses have emerged as a promising approach for the treatment of tumors resistant to other treatment modalities. However, preclinical safety studies are hampered by the lack of a permissive nonhuman host. Screening of a panel of primary cell cultures from seven different animal species revealed that porcine cells support productive replication of human adenovirus type 5 (Ad5) nearly as efficiently as human A549 cells, while release of infectious virus by cells from other animal species tested was diminished by several orders of magnitude. Restriction of productive Ad5 replication in rodent and rabbit cells seems to act primarily at a postentry step. Replication efficiency of adenoviral vectors harboring different E1 deletions or mutations in porcine cells was similar to that in A549 cells. Side-by-side comparison of the viral load kinetics in blood of swine and mice injected with Ad5 or a replication-deficient adenoviral vector failed to provide clear evidence for virus replication in mice. In contrast, evidence suggests that adenovirus replication occurs in swine, since adenoviral late gene expression produced a 13.5-fold increase in viral load in an individual swine from day 3 to day 7 and 100-fold increase in viral DNA levels in the Ad5-infected swine compared to the animal receiving a replication-deficient adenovirus. Lung histology of Ad5-infected swine revealed a severe interstitial pneumonia. Although the results in swine are based on a small number of animals and need to be confirmed, our data strongly suggest that infection of swine with human adenovirus or oncolytic adenoviral vectors is a more appropriate animal model to study adenoviral pathogenicity or pharmacodynamic and toxicity profiles of adenoviral vectors than infection of mice.
A fractional order proportional-integral controller design to improve load sharing between DGs in microgrid

This paper presents a control scheme based on fractional proportional-integral controller for improving the load sharing among parallel-connected inverter based distributed generation in microgrid. The control context is based on the current control in which through the use of the proposed strategy dynamically preserves the proportional power sharing properties of the DG units. The results show that the controller is locally stabilizing, without relying on the communication links between DGs, a proper power sharing among these resources as well as the minimization of circulating current. The results can also be extended for a parallel topology of inverters and hold for generic interconnections of inverters and loads.
A spur suppression method in FMCW radar by reducing the frequency variation periodicity with a PLL

This paper proposes a spur suppression method for a beat signal in a frequency-modulated continuous-wave (FMCW) radar system whose transmitted signals are generated by a PLL. To suppress spurs of the beat signal, frequencies of spurs are investigated with a stair-like frequency variation model. From the investigated model, we show that frequencies of spurs relate to a period of increment or decrement of phase-locked loop (PLL) output frequency. To reduce the periodicity of the frequency variation, we propose a method in which frequency control word (FCW) set period varies in each frequency chirp. We confirmed experimentally the reduction of spurious level by 13.6dB with the proposed method.
A factoring algorithm for probabilistic localization in Underwater Sensor Networks

In this paper we consider Underwater Sensor Networks (UWSNs) employing nodes that move freely with water currents. Localization of nodes in UWSNs depends on collaborative work of nodes in the network since GPS signals fade quickly underwater. Using the concept of probabilistic graphs to capture node location information, we formalize a problem called the Probabilistic Localization Problem (P-LOC) that calls for computing the probability that a given target node in a given probabilistic graph can localize itself during some interval of time. We then devise an iterative algorithm that gives exact solution to the problem if allowed to execute a sufficient number of iterations, otherwise, the algorithm provides a lower bound on the solution. We present numerical results to show the performance of the algorithm.
Diffusion Behavior and Analysis of the Green Manufacturing Mode Under the Influence of Government

This paper deals with the competition diffusion model of the green manufacturing mode, as well as parameter analysis and identification of the model. The aim is to better reveal the diffusion rules of the green manufacturing and provide a new quantitative way to diffusion study on advanced manufacturing modes. First, considering the diffusion characteristics of the green manufacturing mode, the competition diffusion model of the green manufacturing mode is established. Second, the model is analyzed, and qualitative results are presented. Government influence parameter is analyzed to reveal its influence on the diffusion process. Third, based on a practical application of the diffusion model, a parameter identification model is proposed. A parameter identification algorithm based on genetic algorithm (GA) is proposed to obtain optimized parameters for the diffusion model. The resulting model output is compared and contrasted with real data. Finally, the application of the model is explained. The proposed model and algorithm disclose the diffusion rules of the advanced manufacturing modes, and provide a new approach to the identification of parameters in the diffusion model. This helps to understand the diffusion status of advanced manufacturing modes and provides a decision-making basis for enterprises and governments.
Infinitesimal Dipole Model for Dielectric Resonator Antennas using the QPSO Algorithm

The problem of finding a set of infinitesimal dipoles to represent an arbitrary antenna with known near field distribution was considered. By formulating this task as an optimization problem using the directional cosines, the recently introduced quantum particle swarm optimization (QPSO) algorithm was able to successfully obtain good solution. A new boundary condition was introduced to handle the coupling between the directional cosines. The frequency response of the dipole model was also investigated. Although the model was obtained at a single design frequency, the dipoles at the same locations can be used through a wideband scheme by correcting the dipole moments. The correction factor required has been shown to be related to the input impedance of the DRA. A simple procedure is suggested to estimate the correction factor over the frequency band of interest
Recommendations for the evaluation of risk and prophylaxis of tumour lysis syndrome (TLS) in adults and children with malignant diseases: an expert TLS panel consensus

Tumour lysis syndrome (TLS) is a life‐threatening oncological emergency characterized by metabolic abnormalities including hyperuricaemia, hyperphosphataemia, hyperkalaemia and hypocalcaemia. These metabolic complications predispose the cancer patient to clinical toxicities including renal insufficiency, cardiac arrhythmias, seizures, neurological complications and potentially sudden death. With the increased availability of newer therapeutic targeted agents, such as rasburicase (recombinant urate oxidase), there are no published guidelines on the risk classification of TLS for individual patients at risk of developing this syndrome. We convened an international TLS expert consensus panel to develop guidelines for a medical decision tree to assign low, intermediate and high risk to patients with cancer at risk for TLS. Risk factors included biological evidence of laboratory TLS (LTLS), proliferation, bulk and stage of malignant tumour and renal impairment and/or involvement at the time of TLS diagnosis. An international TLS consensus expert panel of paediatric and adult oncologists, experts in TLS pathophysiology and experts in TLS prophylaxis and management, developed a final model of low, intermediate and high risk TLS classification and associated TLS prophylaxis recommendations.
A novel event-triggered robust MPC scheme for linear systems

The piecewise affine structure of an MPC law can be efficiently used in event-triggered control (without computing the whole law explicitly). We extend the original approach for linear deterministic systems to systems with additive disturbances. Surprisingly, the resulting event-triggered RMPC performs better than its deterministic counterpart in that the reduction of the computational effort during runtime is higher.
New monoclonal antibodies specific for human sarcomas

Monoclonal antibodies (MAbs) against sarcoma‐associated cell membrane antigens were prepared by immunizing BALB/c mice with tumor cells from a human osteosarcoma, TPX, grown as a xenograft in athymic BALB/c nude mice. Spleen cells from immunized mice were hybridized with X‐63 Ag. 8.653 mouse myeloma cells which yielded 260 growing hybridomas. Seven of these produced antibodies that bound to TPX cells and to cells from another osteosarcoma, but not to autologous skin fibroblasts. MAbs from 2 (TP‐I and TP‐3) of these 7 clones did not cross‐react with non‐sarcomatous tumor cells or peripheral blood lymphocytes. Immunohistochemical studies on frozen tissue sections showed that the TP‐I (IgG‐2a) and TP‐3 (IgG‐2b) antibodies had characteristic and identical specificity profiles. Binding of TP‐I (TP‐3) was demonstrated to 15/15 (15/15) osteosarcomas, 3/3 (2/2) synovial sarcomas, 7/9 (6/8) malignant fibrous histiocytomas, 2/2 (1/1) malignant hemangiopericytomas, 1/2 (1/2) chondrosarcomas and 3/6 (1/3) unclassified sarcomas. The antibodies did not bind to any of 16 sarcomas belonging to other histological subtypes, including liposarcomas and leio‐and rhabdomyosarcomas. Moreover, they failed to bind to sections of 66 different non‐sarcomatous malignancies, or to any of a range of normal adult and fetal tissues, although some weak staining of proximal kidney tubules was seen. The restricted specificity of these antibodies to some major subtypes of human sarcomas makes them promising tools for identification and subclassification of sarcomas.
Delay-tolerant-networks design and prospect on fishery communication networks

In archipelagic countries, vast maritime monitoring is a though problem. Non proportional comparison of sea patrols number to vast area of the sea is the main reason. This paper will investigate Delay-Tolerant-Networks prospect as communication backbone for fishery based surveillance system. Every fishing ships are capable to send text based report messages to sea patrols or chat message to another fishing ships by utilizing Delay-Tolerant- Networks. In the first step, it will evaluate the performance of DTN design, covering routing algorithms and network models in various node density. In the next step, the DTN prospect is investigated by analyzing scalability aspect. The simulation is done in Kepulauan Riau Province by using the one simulator. The result shows that the best DTN design is achieved by Epidemic Routing with Wimax network model. Its performance successfully deliver 91.22 % of the messages within 48 hour in average. This performance is sufficient for maritime application due to the slow speed of fishing ships and wide area of the sea. This fishery communication network can be scalable into larger area by utilizing DTN's convergence layer concept. By using secondary network which is installed in each region, DTN performance increase 30.94 % compare to single network interface solution. All in all, DTN's store & forward method and convergence layer concept are suitable for maritime conditions, especially for fishery communication network.
Digitally Controlled Switching Converter With Automatic Multimode Switching

This paper presents a multimode digital controller with dead-time self-exploration (DTSE) for synchronous buck converters that simultaneously achieves high efficiency and a fast transient response. The automatic mode switching technique uses the duty-cycle command to determine multimode operation without sensing any current signals. The DTSE algorithm is used to minimize the steady-state duty-cycle command to maximize the converter efficiency. During load transients, a nonlinear control mode is employed to reduce the transient response. The proposed digital controller is fabricated in a CMOS 0.18-μm process. The experimental results for a 1.2-V output voltage show that the measured power efficiency is higher than 85% for a load range of 10-600 mA and that the measured transient response is improved by 28% compared to that of the traditional voltage-mode converter.
CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY—THE HUBBLE SPACE TELESCOPE OBSERVATIONS, IMAGING DATA PRODUCTS, AND MOSAICS

This paper describes the Hubble Space Telescope imaging data products and data reduction procedures for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). This survey is designed to document the evolution of galaxies and black holes at z ≈ 1.5–8, and to study Type Ia supernovae at z > 1.5. Five premier multi-wavelength sky regions are selected, each with extensive multi-wavelength observations. The primary CANDELS data consist of imaging obtained in the Wide Field Camera 3 infrared channel (WFC3/IR) and the WFC3 ultraviolet/optical channel, along with the Advanced Camera for Surveys (ACS). The CANDELS/Deep survey covers ∼125 arcmin2 within GOODS-N and GOODS-S, while the remainder consists of the CANDELS/Wide survey, achieving a total of ∼800 arcmin2 across GOODS and three additional fields (Extended Groth Strip, COSMOS, and Ultra-Deep Survey). We summarize the observational aspects of the survey as motivated by the scientific goals and present a detailed description of the data reduction procedures and products from the survey. Our data reduction methods utilize the most up-to-date calibration files and image combination procedures. We have paid special attention to correcting a range of instrumental effects, including charge transfer efficiency degradation for ACS, removal of electronic bias-striping present in ACS data after Servicing Mission 4, and persistence effects and other artifacts in WFC3/IR. For each field, we release mosaics for individual epochs and eventual mosaics containing data from all epochs combined, to facilitate photometric variability studies and the deepest possible photometry. A more detailed overview of the science goals and observational design of the survey are presented in a companion paper.
Place and Response Learning of Rats in a Morris Water Maze: Differential Effects of Fimbria Fornix and Medial Prefrontal Cortex Lesions

The question examined in this study is concerned with a possible functional dissociation between the hippocampal formation and the prefrontal cortex in spatial navigation. Wistar rats with hippocampal damage (inflicted by a bilateral lesion of the fimbria fornix), rats with damage to the medial prefrontal cortex, and control-operated rats were examined for their performance in either one of two different spatial tasks in a Morris water maze, a place learning task (requiring a locale system), or a response learning task (requiring a taxon system). Performance of the classical place learning (allocentric) task was found to be impaired in rats with lesions of the fimbria fornix, but not in rats with damage of the medial prefrontal cortex, while the opposite effect was found in the response learning (egocentric) task. These findings are indicative of a double functional dissociation of these two brain regions with respect to the two different forms of spatial navigation. When the place learning task was modified by relocating the platform, the impairment in animals with fimbria fornix lesions was even more pronounced than before, while the performance of animals with medial prefrontal cortex lesions was similar to that of their controls. When the task was again modified by changing the hidden platform for a clearly visible one (visual cue task), the animals with fimbria fornix lesions had, at least initially, shorter latencies than their controls. By contrast, in the animals with medial prefrontal cortex damage this change led to a slight increase in escape latency.
Open-circuit behavior analysis for indirect matrix converter

Indirect matrix converter (IMC) has attractive advantages such as lack of dc-link electrolytic capacitor, bidirectional power flow and high power density. Aiming at faulty condition, this paper presents an analysis work for indirect matrix converter (IMC), which could make contribution to detecting the failure accurately. First, some possible types of open-circuit fault are introduced and the current freewheeling path analysis is presented. Then, combining with space vector modulation (SVM) strategy, the feature of dc-link voltage is analyzed after the occurrence of an open-circuit fault. This analysis result demonstrates that the failure in IMC can be discriminated effectively by measuring dc-link voltage. Experimental results are presented to verify the proposed analytical work. Moreover, a simple design method for clamp circuit is presented in appendix.
The Female Sexual Response: A Different Model

Clarification of women's sexual response during long-term relationships is needed. I have presented a model that more accurately depicts the responsive component of women's desire and the underlying motivational forces that trigger it. The variety of arousal/ orgasm responses is also acknowledged. The purpose is both to prevent diagnosing dysfunction when the response is simply different from the traditional humansex-response cycle and to more clearly define subgroups ofdysfunction.Thelatter wouldappear tobe necessary before progress in newer treatment modalities, including pharmacological, can be made.
To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis

Recent years have seen a variety of different deep learning architectures for sentiment analysis. However, little is known about their comparative performance and merits on a common ground, across a variety of datasets, and on the same level of optimization. In this paper, we provide such a comparison for two popular architectures, Recursive Neural Tensor Networks (RNTNs) and Convolutional Neural Networks (CNNs). Although RNTNs have been shown to work well in many cases, they require intensive manual labeling due to the socalled vanishing gradient problem. To enable an extensive comparison of the two architectures, this paper employs two methods to automatically label the internal nodes: a rule-based method and (this time as part of the RNTN method) a convolutional neural network. This enables us to compare these RNTN models to a relatively simple CNN architecture. On almost all benchmark datasets the CNN architecture outperforms the variants of RNTNs tested in the paper. These results suggest that CNNs already offer good predictive performance and, at the same time, more research on RNTNs would be needed to further exploit sentence structure.
Recent Developments to the Microwave Tube Simulator Suite

Recent developments to microwave tube simulator suite (MTSS) are reported in this paper. The MTSS is a full-featured tightly integrated software package for microwave tube analysis and design. It includes a commercial grade user interface and three physics simulators. The electron optics simulator is a finite-element (FE) 2-D and 3-D electrostatic steady-state beam trajectory code that has been used to design beam optics, including electron gun and collector. High-frequency circuit simulator is a full 3-D FE computational electromagnetic code that aims to get the accurate electromagnetic wave character spreading in high-frequency structures, such as dispersion, coupling impedance, and attenuation. Beam wave interaction simulator is a large-signal simulation code for helix traveling wave tubes (TWTs), coupled-cavity TWTs, and klystrons. The first version of MTSS was released in 2007, and all of these three physics simulators and user interface are improved and updated over the past six years. This paper reports on some significant advances to MTSS; new Ribbon style user interface, a lot of component modeling templates, more abundant postprocessing features, parallel version, full 64-bit version, more physics, and computation methods improvement.
A Two-Dimensional Linear Pre-Transformed (2DLPT) MIMO-OFDM System

We propose an open-loop two-dimensional linear pre-transformed (2DLPT) multiple-input multiple- output (MIMO) orthogonal frequency division multiplexing (OFDM) system. The <i>n</i> <sub>T</sub> <i>N</i> times <i>n</i> <sub>T</sub> <i>N</i> 2DPLT, with <i>n</i> <sub>T</sub> the number of transmit antennas and N the FFT size in the OFDM modulation, is applied in both spatial and frequency domains and is unitary in individual as well as both domains. While the spatial domain transform converts the transmit diversity from the other transmit antennas to frequency diversity, the frequency domain transform fully exploits the frequency domain diversity made available. More over, the unitary transform guarantees the same ergodic capacity as the non-transformed spatial division multiplexing MIMO-OFDM channel. Therefore, the proposed 2DLPT MIMO-OFDM system achieves full diversity of <i>n</i> <sub>T</sub> <i>n</i> <sub>R</sub> <i>n</i> <sub>L</sub> with <i>n</i> <sub>R</sub> and <i>n</i> <sub>L</sub> representing the number of receive antennas and the number of multipaths in each transmit-receive antenna pair channel, and full capacity.