Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Methodology for Object-oriented ASIP Architecture Codesign

: - Due to the developments of complex structures, the computer industry urgently needs a higher-level design hierarchy. Hardware/software codesign hence becomes a new trend for industrial applications. The paper presents a new approach to codesign ASIP e(cid:14)ciently. Firstly, based on a linear algebraic model, we explore the design space. The model provides a transformation algorithm to combine, separate, evaluate and verify instructions between software and hardware. Then, the model exploits object-oriented concept to build up its simulation mechanism. The simulator does executions, statistics and transformations for variant applications. Not only instruction-level parallelism but also multiprocessing synchronization applications easily apply this model. Finally, we make an example experiment environment and illustrate the results to show the optimizations.
Transmission characteristics of the mobile inductively coupled power transfer system for dual transmitters and pickups based on PSpice

In order to meet the application requirements of high-power mobile inductivelycoupled power transfer (ICPT) equipment, the structure of the dual transmitter and pickup can be used to improve the transmission power of the ICPT system. However, this structure cannot easily describe the change of the mutual inductance parameter in the moving state, making the mathematical model difficult to establish. The change of load parameters during the movement will affect the current and voltage at the transmitter and pickup coils. Aiming at these problems, this paper proposes a dual transmitter and pickup ICPT system based on inductor-capacitor-inductor (LCL) compensation network, and analyzes its power transmission efficiency. By setting the shape and size of the coil, the influence of the change of the mutual inductance parameters on the system efficiency during the movement is reduced. The changes of the mutual inductance parameters of the ICPT system under the moving state are simulated by changing the coupling coefficient in the PSpice software. The results show that the structure of the ICPT system used in this paper can improve the output power and reduce the influence of the system when the load changes.
Delft University of Technology Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts

This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes. For the first two steps, we reuse a state-of-theart approach, focusing our contribution on the final entity-linking step. For that we propose a simple Few-Shot learning approach, based on pre-trained word embeddings and data from the UMLS, combined with the provided training data. Our system (relaxed F1: 0.3370.345) outperforms the average (relaxed F1 0.2972) of the participants in this task, demonstrating the potential feasibility of few-shot learning in the context of medical text normalization.
Thermal Stability of the Major Molecular Species of Collagen in the Kuruma Prawn Muscle

kuruma prawn. Recently, we have reported that the major collagen, Type AR-I, contributes greatly to the development of raw meat texture of sixteen crustacean species.5) In the previous paper, 6) we also reported that the collagen in the residual fraction after alkali (0.1N NaOH) extraction (RS-AL) of the kuruma prawn muscle had quite a low solubility not only in acidic solvent but also in hot water, and suggested that the low solubility of collagen played a positive role in maintaining the texture and morphology of the cooked meat. However, information is still limited about the con tribution of collagen to the texture of cooked meat of crustaceans. In addition, no report could be found con cerning the thermal stability of crustacean collagens in in tact form, which are not digested with any proteases. The present study was designed to estimate the thermal stabil ity of the intact collagen and its pepsin-digest from the kuruma prawn muscle in order to obtain fundamental in formation concerning the contribution of collagen to the texture of cooked meat from crustaceans.
Multicarrier-Based PWM Control Strategies for Five-Level CMLI

In this paper, performance analysis of different multicarrier pulse width modulation techniques which uses sine (regular) carrier waveforms are carried out for five-level cascaded inverter. In each carrier waveform, different techniques such as phase disposition (PD), inverted phase disposition (IPD), phase opposition disposition (POD) and alternative phase opposition disposition (APOD) are implemented. The fundamental output voltage and harmonics obtained in each method are compared with the output waveform obtained with the triangular carrier waveform. The different PWM methodologies adopting the constant switching frequency multicarrier with different modulation indexes are simulated for a 1kW, 3φ cascaded multilevel inverter using MATLAB/SIMULINK and the effect of switching frequency on the fundamental output voltage and harmonics are also
Phytophthora Crown and Root Rot of Apricot Caused by Phytophthora palmivora in Turkey

Forty-nine Phytophthora isolates were obtained from roots and crown of apricot trees with symptoms of decline grown in commercial orchards in Malatya, Elazig and Diyarbakir provinces, Turkey, in 2011 and 2013. All of the recovered isolates were identified as Phytophthora palmivora on the basis of morphological characteristics. Blast analysis of ITS region sequences of rDNA of 5 isolates revealed 100% identity with a reference isolates of P. palmivora from GenBank. Isolates of P. palmivora were pathogenic on 12-month-old wild apricot rootstock ‘Zerdali’ plants that were wound inoculated on the roots and on the crown. This study demonstrated that P. palmivora is the cause of the crown and root rot found on apricot in Turkey. To our knowledge, this is the first report of P. palmivora on this host plant.
A new anomaly target detection algorithm for hyperspectral imagery based on optimal band subspaces

ABSTRACT In order to overcome low detection accuracy and high false alarm rate of anomaly target detection based on Kernel RX anomaly detector in hyperspectral imagery (HSI). The paper proposes a new HSI anomaly target detection algorithm based on optimal bands subspace that analyses the characteristics of HSI data. First, the wavelet transform method is used to denoise HSI, which makes that the background information of hyperspectral imagery is suppressed by using the advantages of wavelet transform. Then, HSI is divided for band subsets by the classical adaptive subspace method. The optimal bands are selected by using the minimum variance index in each band subsets. Finally, the Kernel RX algorithm is used to detect anomaly target from optimal band subspaces. The data sets of real AVIRIS and synthetic HSI are used in the experiments, and the results show that the proposed algorithm has strong robustness and lower false alarm probability.
Improved Preservation Technology for Non-Instantaneous Deteriorating Inventory Using Boundary Condition Estimation

Various forms of preservation technology nowadays allow businesses to handle valuable perishable items with greater flexibility. Even with a wide variety of preservation techniques, the mathematical modelling of its implementation in EOQ literature remains rigid. The paper aims to integrate an improved preservation technology in a non-instantaneous deteriorating inventory model for businesses maximizing their average total cycle profit. The improved preservation technology furthers the delay to the time within the cycle where deterioration begins and enhances the durability of inventory that allows operators to employ a less prudent holding facility. Another improvement in this area is the accurate accumulation of preservation cost depending on the inventory level at hand. The conventional EOQ method of forming the objective function before choosing the optimal values for our two decision variables (Cycle time and level of preservation) is undertaken. The cycle time is split in two, differing in their inventory process (deterioration beginning in the second period). The time when deterioration begins is derived using the model's boundary conditions, a first attempt within the area. The optimal solution set is solved for a numerical example using an algorithm to demonstrate the model and prove the global nature of the solution. An investigation into the gains from the improved preservation technology is conducted by dissecting the effects within each individual component within the objective function. 3 separate channels by which this improved preservation technology modelling benefits the business model is found namely shifting to the higher profitable period, effects towards preservation affected costs and the returns to scale from successively increasing preservation levels. Sensitivity analysis is conducted to demonstrate and confirm the findings. The paper discovers great benefits from such an improved modelling that warrants further attention within the scope of preserved inventory models, especially on how levels of preservation could influence the traditional decision variable optimized such as cycle time or ordering frequency. Findings of the paper would have significant benefits to different inventory models with its own delay before deterioration and holding facility requirement.
579-602 ISB_082523.indd

This article analyses the debt maturity structure of small and medium-sized fi rms in terms of the risk and return trade-off associated with the use of short-term loans. The sample covers 11,533 small and medium-sized Spanish manufacturing fi rms over the period from 1997 to 2001. The results show that short-term loans are more common in fi rms with greater fi nancial strength, greater fi nancial fl exibility, and major growth options, and when the interest cost differential between shortand long-term loans is more pronounced. Additionally, the size of the fi rm seems to have an infl uence on the level of short-term loans; short-term borrowing levels are higher in the smaller fi rms.
Causes and Consequences of Margin Levels in Futures Markets

This paper examines how margin requirements in futures markets are set and how they affect prices and liquidity. Margin increases cause both hedgers and speculators to reduce their open positions, and a margin increase for one contract causes funding liquidity spillovers that affect price impact for all contracts. I do not find a significant effect of margin changes on the futures price level. However, realized variance increases by 50% on average on the day of a margin increase and remains high in the following weeks. The findings imply that imposing higher margins adversely affects liquidity and volatility, and that regulation of margins can make trading more costly for all market
AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues

AI safety often analyses a risk or safety issue, such as interruptibility, under a particular AI paradigm, such as reinforcement learning. But what is an AI paradigm and how does it affect the understanding and implications of the safety issue? Is AI safety research covering the most representative paradigms and the right combinations of paradigms with safety issues? Will current research directions in AI safety be able to anticipate more capable and powerful systems yet to come? In this paper we analyse these questions, introducing a distinction between two types of paradigms in AI: artefacts and techniques. We then use experimental data of research and media documents from AI Topics, an ofﬁcial publication of the AAAI, to examine how safety research is distributed across artefacts and techniques. We observe that AI safety research is not sufﬁciently anticipatory, and is heavily weighted towards certain research paradigms. We identify a need for AI safety to be more explicit about the arte-facts and techniques for which a particular issue may be applicable, in order to identify gaps and cover a broader range of issues.
Necessity of Six Sigma– As a Measurement Metric in Measuring Quality of Higher Education

The benefits of having a common metric for quality facilitates easier comparison of performance across Institutions and helps in Bench Marking to achieve higher goals. It also helps in comparing the functions of various departments within the Institution. The paper reviews the existing methods and approaches of measuring quality in higher education, perception about Quality relating to higher education from the published literatures. This paper brings out the necessity of having a common metric in measuring the Quality of Higher Education by adopting Six Sigma approach, embraced by the Industries across the world, in achieving improvement to process and product quality.
Expression, Purification, and Characterization of Acylphosphatase Muscular Isoenzyme as Fusion Protein with GlutathioneS-Transferase

Abstract A genetic construct consisting of the synthetic gene coding for human muscle acylphosphatase linked to the gene for glutathione S -transferase has been prepared. This gene was transformed into and expressed by the Escherichia coli strains DB1035 and TB1, respectively. The fusion protein was purified by affinity chromatography and subsequently cleaved to the fully active acylphosphatase, which was further purified by gel filtration chromatography. Such a purification procedure is very rapid and suitable for obtaining considerable amounts of enzyme at a very high yield. The purified human muscle acylphosphatase was fully active and showed structural features, as well as kinetic and stability parameters, identical to those of the native enzyme.
Strategies in Stochastic Continuous-Time Games∗

We develop a new set of restrictions on strategy spaces for continuous-time games in stochastic environments. These conditions imply that there exists a unique path of play with probability one given a strategy profile, and also ensure that agents’ behavior is measurable. Various economic examples are provided to illustrate the applicability of the new restrictions. We discuss how our methodology relates to an alternative approach in which certain payoffs are assigned to nonmeasurable behavior. JEL Classification: C73, C78, D25
Taxonomical reappraisal of Cathayornithidae (Aves: Enantiornithes)

A complete redescription of Cathayornis caudatus Hou, 1997 is provided based on new information from a resin cast of the holotype, leading to reinterpretation of many morphological features of this initially poorly diagnosed taxon. Detailed comparisons across various specimens referred to Cathayornithidae Zhou et al., 1992 indicate that Sinornis santensis, Cathayornis yandica, C. caudatus and Eocathayornis walkeri are valid taxa, but that C. chabuensis should be regarded as a nomen dubium. The holotype and referred specimens of C. chabuensis differ significantly in morphology, indicating that they do not belong to the same species. A comprehensive phylogenetic analysis targeted at Mesozoic birds reveals that neither Cathayornithidae Zhou et al., 1992 nor Cathayornis Zhou et al., 1992 are monophyletic, and that C. yandica can be regarded as the only species in a monospecific Cathayornithidae. The holotype of ‘C. caudatus’ is assigned to the genus Houornis gen. nov., and a taxonomic reassessment of other ‘cathayornithids’ is presented. http://zoobank.org/urn:lsid:zoobank.org:pub:0B1A404A-CC6A-4609-8CC5-C0DD62983C9A
Committee of Decision Trees Solution for Personal Bankruptcy Prediction

: Characterization of individual behaviours by the process of data mining has been key tool for commercial banks to manage credit losses, for a long time. Many techniques are available and used by either in-house research teams or Commercial Score Developers. However all these techniques are not very effective when it comes to predicting personal bankruptcies. In current unstable environment when technology is progressing in a phenomenal speed, structural unemployment is becoming a major issue in many countries. Coupled with this other economic turmoil, globalisation is pushing many individuals towards bankruptcy who were considered highly credit worthy only a few years ago. Another problem with bankruptcy is the suddenness of its occurrence making the prediction extremely difficult. Hence long term credit history, which has been the backbone of successful data mining, is often useless in this case. All of these has created a strong need of advanced/ non-standard models for predicting personal bankruptcy risk so that it is possible to avoid high credit losses by the consumer banks. Quite a number of papers/articles/journals/books are available on the topic of corporate bankruptcies and the usage of Artificial Neural Networks, Discriminant Analysis and Logit Analysis for such predictions, however there are only a handful of articles written on personal bankruptcies and the usage of committee of decision trees for the prediction purpose. This presentation discusses in details how the committee of decision trees can successfully predict personal bankruptcies where the standard scoring techniques or the decision trees fail. The solution has been successfully validated with real in-house data.
Characterization of selected pyrolysis products of diseased orange wood

Orange trees in Brazil are often burned as a means of eradication when they become infected with Huanglongbing disease. Rather than destroying them, which is a low-value proposition, one potential option is to utilize the biomass through pyrolysis. In this preliminary work, orange trees (Citrus sinensis) otherwise selected for purging, were sampled and pyrolyzed at 500 °C, and the charcoal and bio-oil were evaluated for potential value-added use. The results showed that the pyrolysis process resulted in 26.3% charcoal, 57.6% bio-oil, and 16.0% non-condensable gases. Qualitative analysis of the bio-oil by gas chromatography/mass spectrometry found 178 chemical compounds; however, only 25% of those compounds could be reliably identified. Potential applications of the compounds identified in the bio-oil were determined by examining the published literature, and it was found that at least 73% of them showed promise. Finally, initial studies on the immediate analysis of the pyrolysis charcoal showed that it potentially meets the standards set forth for Brazilian domestic use.
Prediction and representation of array performance under sensor failure

Military sensor arrays are exposed to harsh conditions in general. In certain cases, the operator or the system may be required to disable certain elements of the array due to their unreliable readings. The system performance is affected with the number of the disabled sensors and their locations in the array. In some cases, even if the majority of the sensors are disabled, the system can be still useful for direction finding in a particular angular sector. In such cases, the operator needs a performance prediction tool to assess the reliability of array with disabled sensors. As the number of possible combinations for disabled sensors can be very large, it is more practical to assess the array performance with an online tool. Our goal is to provide the operator, a prediction for the system performance with a set of disabled sensors, in a simple and concise manner. Since the performance deviation depends on the signal to noise ratio, bearing angle and the operating frequency, the representation of 4-dimensional data is also a challenge. In this paper, we utilize an approximate deterministic Ziv-Zakai type lower bound as a means for the array performance prediction. Also we present a visualization scheme for the display of performance metrics, for instance direction finding uncertainties, which depend on frequency, bearing angle and signal to noise ratio.
Analysis of Harmonic Summation in Wind Power Plants Based on Harmonic Phase Modelling and Measurements

This article aims to examine the harmonic emission assessment methods based on the IEC 61000-3-6 summation rule in the application of high-power converter-based wind power plants, where only the harmonic amplitude is considered. The IEC 61000-3-6 summation rule could lead to incorrect results due to the assumptions made with respect to the harmonic phase and evaluated from conventional power system harmonics. It has been shown in this paper that this assumption could lead to incorrect harmonic emissions assessment with respect to grid code compliance. Harmonic emission assessment for grid code compliance should be more accurate and the harmonic phase needs to be considered. This paper presents sophisticated phasealigned measurement results using GPS-disciplined time-base and a proposal of harmonic assessment improvements. Keywords— Background harmonic distortion, Grid code compliance, Harmonic modelling, Harmonic phase modelling Harmonic summation.
Rapid Detection of Dengue Viral RNA by Nucleic Acid Sequence-Based Amplification (NASBA)

The suitability of RNA amplification by nucleic acid sequence-based amplification (NASBA) for the detection of dengue viral RNA was investigated. A set of primers and probe were synthesized, based on a selected RNA sequence from the non-coding region at the 3' end of dengue viral RNA, and was used in the NASBA assay. The NASBA reaction product was then determined by agarose gel electrophoresis and electrochemiluminescence (ECL) signal count. The sensitivity of the NASBA assay was equal to 1 PFU/ml for all of four dengue virus serotypes. There was no false positive result with Japanese encephalitis (JE) virus. This method was used successfully to detect dengue virus in the infected tissue culture cells. This test will be useful for the detection of dengue viruses in the clinical specimens.
Assessing the Impact of Watershed Management Interventions on Livelihood of Small- Scale Farmers and Ecosystem Services in Choke Mountains, East Gojjam Zone of Amhara Region, Ethiopia

In Ethiopia, natural resources management interventions have been implemented since the 1980s to restore degraded landscapes. However, little efforts have been made to investigate the impacts of natural resources management interventions on ecosystem services and livelihood. This study was conducted in the Choke Mountain, Northern Ethiopia, to investigate the effects of community-based watershed management interventions on ecosystem services and livelihood of smallholder farmers. Both qualitative and quantitative methods were used to collect and analyze data. The results indicated that deforestation, population pressure, topography, overgrazing, and continued cultivation are major causes of land degradation. Consequences of land degradation include a reduction in farm size, a decrease in soil fertility and crop production, drought, food insecurity, and poverty. Also, the results demonstrated that a shortage of clean water and a decline in vegetation composition are among the impacts of land degradation on