Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Production Research Tactical Production Planning in a Hybrid Make-to- Stock–make-to-order Environment under Supply, Process and Demand Uncertainties: a Robust Optimisation Model Tactical Production Planning in a Hybrid Make-to-stock–make-to-order Environment under Supply, Pr

(2015) Tactical production planning in a hybrid Make-to-Stock–Make-to-Order environment under supply, process and demand uncertainties: a robust optimisation model, Taylor & Francis makes every effort to ensure the accuracy of all the information (the " Content ") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. In this paper, we consider a hybrid 'Make-to-Stock–Make-to-Order' environment to develop a novel optimisation model for medium-term production planning of a typical multi-product firm based on the competencies of the robust optimisation methodology. Three types of uncertainties: suppliers, processes and customers, are incorporated into the model to construct a robust practical model in an uncertain business environment. The modelling procedure is started with applying determin-istic linear programming to develop a new multi-objective approach for the combination of multi-product multi-period production planning and aggregate production planning problems. Then, the proposed deterministic model is transformed into a robust optimisation framework and the solution procedure is designed according to the Lp-Metric methodology. Next, using the IBM ILOG CPLEX optimisation software, the proposed model is evaluated by applying the data collected from an industrial case study. Final results illustrate the applicability of the proposed model. 1. Introduction Creating shareholder value is commonly considered as the principal business goal. To achieve a global and integrated system, strategic decisions should be taken in close relation to the more tactical issues (Goetschalckx, Vidal, and Dogan 2002). Traditionally, pure Make-to-Stock (MTS) or pure Make-to-Order (MTO) production strategies are applied in manufacturing firms; however, nowadays, many companies benefit from the combination of both MTS and MTO strategies to have better resource utilisation, customer satisfaction and market share. To date, many studies in the area of production planning have been performed using a variety of approaches which …
Effect of alternative photostimulable phosphor plates erasing times on subjective digital image quality.

OBJECTIVE To evaluate the influence of alternative erasing times of DenOptix(R) (Dentsply/Gendex, Chicargo, IL) digital plates on subjective image quality and the probability of double exposure image not occurring. METHODS Human teeth were X-rayed with phosphor plates using ten different erasing times. Two observers evaluated the images for subjective image quality (sharpness, brightness, contrast, enamel definition, dentin definition and dentin-enamel junction definition) and for the presence or absence of double exposure image. Spearman's correlation analysis and ANOVA was performed to verify the existence of a linear association between the subjective image quality parameters and the alternative erasing times. A contingency table was constructed to evaluate the agreement among the observers, and a binominal logistic regression was performed to verify the correlation between the erasing time and the probability of double exposure image not occurring. RESULTS All 6 parameters of image quality were rated high by the examiners for the erasing times between 25 s and 130 s. The same erasing time range, from 25 to 130 s, was considered a safe erasing time interval, with no probability of a double exposure image occurring. CONCLUSIONS The alternative erasing times from 25 s to 130 s showed high image quality and no probability of double image occurrence. Thus, it is possible to reduce the operating time of the DenOptix(R) digital system without jeopardizing the diagnostic task.
Enabling Enriched TV Shopping Experience via Computational and Temporal Aware View-Centric Multimedia Abstraction

Smart TVs have realized the convergence of TV, Internet , and PC technologies, but still do not provide a seamless content interaction for TV-enabled shopping. To purchase interesting items displayed in a TV show, consumers must resort to a store or the Web, which is an inconvenient way of purchasing products. The fundamental challenge in realizing such a use case consists of understanding the multimedia content being streamed. Such a challenge can be realized by utilizing object detection to facilitate content understanding though it has to be executed as a computationally bound process so that consumers are provided with a responsive and exciting user interface. To this end, we propose a computational- and temporal-aware multimedia abstraction framework that facilitates the efficient execution of object detection tasks. Given computational and temporal rate constraints, the proposed framework selects the optimal video frames that best represent the video content and allows the execution of the object detection task as a computationally bound process. In this sense, the framework is computationally scalable as it can adapt to the given constraints and generate optimal abstraction results accordingly. Additionally, the framework utilizes “object views” as the basis for the frame selection process, which depict salient information and are represented as regions of interest (ROI). In general, an ROI can be a whole frame or a region that discards background information. Experimental results demonstrate the computational scalability of the proposed framework and the benefits of using the regions of interest as the basis of the abstraction process.
Genotypically Identifying Wheat Mesophyll Conductance Regulation under Progressive Drought Stress

Photosynthesis limitation by CO2 flow constraints from sub-stomatal cavities to carboxylation sites in chloroplasts under drought stress conditions is, at least in some plant species or crops not fully understood, yet. Leaf mesophyll conductance for CO2 (gm) may considerably affect both photosynthesis and water use efficiency (WUE) in plants under drought conditions. The aim of our study was to detect the responses of gm in leaves of four winter wheat (Triticum aestivum L.) genotypes from different origins under long-term progressive drought. Based on the measurement of gas-exchange parameters the variability of genotypic responses was analyzed at stomatal (stomata closure) and non-stomatal (diffusional and biochemical) limits of net CO2 assimilation rate (AN). In general, progressive drought caused an increasing leaf diffusion resistance against CO2 flow leading to the decrease of AN, gm and stomatal conductance (gs), respectively. Reduction of gm also led to inhibition of carboxylation efficiency (Vcmax). On the basis of achieved results a strong positive relationship between gm and gs was found out indicating a co-regulation and mutual independence of the relationship under the drought conditions. In severely stressed plants, the stomatal limitation of the CO2 assimilation rate was progressively increased, but to a less extent in comparison to gm, while a non-stomatal limitation became more dominant due to the prolonged drought. Mesophyll conductance (gm) seems to be a suitable mechanism and parameter for selection of improved diffusional properties and photosynthetic carbon assimilation in C3 plants, thus explaining their better photosynthetic performance at a whole plant level during periods of drought.
Torque Analysis of Interior Permanent-Magnet Synchronous Motors by Considering Cross-Magnetization: Variation in Torque Components With Permanent-Magnet Configurations

The variation in torque of interior permanent-magnet synchronous motors with driving conditions and magnet configurations is investigated by considering the cross-magnetization caused by magnetic saturation. The torque is decomposed into four components, i.e., the main magnet torque, main reluctance torque, cross-magnet torque, and cross-reluctance torque. It is revealed that the cross-magnet torque is always negative and this component reduces the total torque of the motor. This effect becomes large in the case of the V-type magnet configuration. The magnet configuration, which reduces the cross-magnetization effect, is also investigated by considering the mechanical strength against the centrifugal force caused by high-speed rotation. The validity of the calculation is confirmed by experiments.
A new surgical technique for one-stage repair of interrupted aortic arch with valvular aortic stenosis.

Clinical Summary A male neonate weighing 3100 g was referred to our hospital with cyanosis and respiratory distress. Two-dimensional echocardiography showed type B IAA, patent ductus arteriosus, subarterial VSD, and valvular aortic stenosis. The aortic valve was bicuspid and the annular diameter measured 3.0 mm. The infundibular septum was deviated posteriorly. Because aortic flow was decreased because of a left-to-right shunt through VSD, a significant pressure gradient across the aortic valve and subaortic portion was not detected by Doppler echocardiogram.
An Empirical Study on Break Prediction of Prosody for Hakkas TTS Systems

This paper aims at the prosody generation for Hakka’s language based on the data mining approaches, and implement the TTS system on Internet. Our system is composed of the following four components: 1) Text analysis, 2) Prosody prediction, 3) Selection of speech unit, and 4) Speech generation module. More than 2427 monosyllabic speech units and 2234 word speech units of Hakka and several silences with various durations have been recorded as basic units for speech synthesis. We focus on adding breaks to speeches, with emphasis on predicting the types of break. There are three kinds of breaks: major break, minor break and no-break between words. We train a break model and predict break based on the data mining approaches Bayesian network (BN) and CART classifier. The best precision rate for testing achieves 79.88% based on the CART.
Desperately Seeking Implicit Arguments in Text

In this paper, we address the issue of automatically identifying null instantiated arguments in text. We refer to Fillmore's theory of pragmatically controlled zero anaphora (Fillmore, 1986), which accounts for the phenomenon of omissible arguments using a lexically-based approach, and we propose a strategy for identifying implicit arguments in a text and finding their antecedents, given the overtly expressed semantic roles in the form of frame elements. To this purpose, we primarily rely on linguistic knowledge enriched with role frequency information collected from a training corpus. We evaluate our approach using the test set developed for the SemEval task 10 and we highlight some issues of our approach. Besides, we also point out some open problems related to the task definition and to the general phenomenon of null instantiated arguments, which needs to be better investigated and described in order to be captured from a computational point of view.
Data Flow Systems: Guest Editors' Introduction

Some 15 years ago, J. Rodriguez at MITI and D. Adams at Stanford2 began to work on research that eventually led to the development of concepts still in use today in data flow systems. Important advances have been made since that time, and many researchers are now investigating data flow concepts as an alternative to von Neumann machines and languages. Nevertheless, until this special issue of Computer, no attempt had been made to bring together a body of work on data flow systems and closely examine just how far research into this technology has progressed. In the pages that follow, the reader will be presented with an overview of the field, especially as it relates to high-speed computing. Included are articles by leading researchers in the field of data flow languages and graphs, and dynamic architectures. There is also an article that outlines the major problems with data flow systems from the point of view of experts who are not directly active in data flow research. Together, we hope these articles will stimulate further investigation into the practicality of data flow systems. Anyone with some background in computer languages and architecture, and with a rudimentary knowledge of compilers should find the material in this issue most interesting.
Comparing Enrollment and Persistence Rates in Hybrid and Traditional Post-Secondary French

Persistence rates in foreign language study have been historically disappointing. This also tends to be the case for many hybrid and online courses, especially when contrasted with comparable face-to-face courses. Therefore, when transitioning foreign language coursework to online and hybrid formats, increased persistence rates and a large number of resulting majors should not be expected. Following a review of the literature on both foreign language and hybrid/online persistence respectively, the following study compares persistence rates from concurrently taught traditional and hybrid offerings in post-secondary French across three years. An interpretation of the resulting trends is offered, along with suggestions for additional research.
Characterization of Metarhizium viride Mycosis in Veiled Chameleons (Chamaeleo calyptratus), Panther Chameleons (Furcifer pardalis), and Inland Bearded Dragons (Pogona vitticeps)

ABSTRACT Metarhizium viride has been associated with fatal systemic mycoses in chameleons, but subsequent data on mycoses caused by this fungus in reptiles are lacking. The aim of this investigation was therefore to obtain information on the presence of M. viride in reptiles kept as pets in captivity and its association with clinical signs and pathological findings as well as improvement of diagnostic procedures. Beside 18S ribosomal DNA (rDNA) (small subunit [SSU]) and internal transcribed spacer region 1 (ITS-1), a fragment of the large subunit (LSU) of 28S rDNA, including domain 1 (D1) and D2, was sequenced for the identification of the fungus and phylogenetic analysis. Cultural isolation and histopathological examinations as well as the pattern of antifungal drug resistance, determined by using agar diffusion testing, were additionally used for comparison of the isolates. In total, 20 isolates from eight inland bearded dragons (Pogona vitticeps), six veiled chameleons (Chamaeleo calyptratus), and six panther chameleons (Furcifer pardalis) were examined. Most of the lizards suffered from fungal glossitis, stomatitis, and pharyngitis or died due to visceral mycosis. Treatment with different antifungal drugs according to resistance patterns in all three different lizard species was unsuccessful. Sequence analysis resulted in four different genotypes of M. viride based on differences in the LSU fragment, whereas the SSU and ITS-1 were identical in all isolates. Sequence analysis of the SSU fragment revealed the first presentation of a valid large fragment of the SSU of M. viride. According to statistical analysis, genotypes did not correlate with differences in pathogenicity, antifungal susceptibility, or species specificity.
P2B-4 Crisscross 2D cMUT Array: Beamforming Strategy and Synthetic 3D Imaging Results

Real-time 3D ultrasound imaging is based on volumetric beam steering and sweeping. Transducer capable to perform volumetric beamforming for medical imaging are typically two dimensional arrays of thousands of active elements. Electronic multiplexing and pre-beamforming is necessary in order to interface such arrays to conventional ultrasound scanners. This paper describes an alternative approach for volumetric beamforming based on a particular two dimensional array of a reduced number of elements obtained by superimposing two linear arrays on the same area. Capacitive Micromachined Ultrasonic Transducer (cMUT) technology is mentioned as a good candidate to approach the problem due to the possibility given by micromachining to fabricate arbitrarily shaped electrode patterns which define the array elements. The beamforming strategy is illustrated and assessed by means of beampattern calculations and synthetic 3D imaging formation. The resulting array is directly connectable to a standard imaging system.
Geometric travel planning

This paper provides a novel approach for optimal route planning by making efficient use of the underlying geometrical structure. It combines classical artificial intelligence exploration with computational geometry. Given a set of global positioning system (GPS) trajectories, the input is refined by geometric filtering and rounding algorithms. For constructing the graph and the according point-localization structure, fast scan line and divide-and-conquer algorithms are applied. For speeding up the optimal online search algorithms, the geometrical structure of the inferred weighted graph is exploited in two ways; it is compressed while retaining the original information for unfolding resulting shortest paths and is then annotated by lower bounds and refined topographic information (for example, by the bounding boxes of all shortest paths that start with a given edge). Traffic disturbances can result in an increase in travel time for the affected area that, in turn, can affect the precomputed information. This paper discusses two models of introducing dynamics in a navigation system. The online planning system GPS-ROUTE implements the above techniques and provides a client-server web interface to answer a series of shortest-path or shortest-time queries.
Recovery of Native Genetic Background in Admixed Populations Using Haplotypes, Phenotypes, and Pedigree Information – Using Cika Cattle as a Case Breed

The aim of this study was to obtain unbiased estimates of the diversity parameters, the population history, and the degree of admixture in Cika cattle which represents the local admixed breeds at risk of extinction undergoing challenging conservation programs. Genetic analyses were performed on the genome-wide Single Nucleotide Polymorphism (SNP) Illumina Bovine SNP50 array data of 76 Cika animals and 531 animals from 14 reference populations. To obtain unbiased estimates we used short haplotypes spanning four markers instead of single SNPs to avoid an ascertainment bias of the BovineSNP50 array. Genome-wide haplotypes combined with partial pedigree and type trait classification show the potential to improve identification of purebred animals with a low degree of admixture. Phylogenetic analyses demonstrated unique genetic identity of Cika animals. Genetic distance matrix presented by rooted Neighbour-Net suggested long and broad phylogenetic connection between Cika and Pinzgauer. Unsupervised clustering performed by the admixture analysis and two-dimensional presentation of the genetic distances between individuals also suggest Cika is a distinct breed despite being similar in appearance to Pinzgauer. Animals identified as the most purebred could be used as a nucleus for a recovery of the native genetic background in the current admixed population. The results show that local well-adapted strains, which have never been intensively managed and differentiated into specific breeds, exhibit large haplotype diversity. They suggest a conservation and recovery approach that does not rely exclusively on the search for the original native genetic background but rather on the identification and removal of common introgressed haplotypes would be more powerful. Successful implementation of such an approach should be based on combining phenotype, pedigree, and genome-wide haplotype data of the breed of interest and a spectrum of reference breeds which potentially have had direct or indirect historical contribution to the genetic makeup of the breed of interest.
JPlag: Finding plagiarisms among a set of programs

JPlag is a system that finds pairs of similar programs among a given set of programs. It has successfully been used in practice to detect plagiarisms among student Java exercise submissions. Support for the languages C, C++ and Scheme is also available. This report presents the design of JPlag, in particular the comparison algorithm, and carefully evaluates JPlag’s performance on 12 rather different sets of Java programs. The results indicate that JPlag will find all plagiarisms with only very few exceptions. The execution time is less than one minute for submissions of 100 programs of several hundred lines each.
Location privacy-aware task recommendation for spatial crowdsourcing

Spatial crowdsourcing engages individuals to collect and process social, environmental and other information with spatio-temporal features, making the data collection and analysis efficient, scalable and smart. The quality of task fulfillment strongly depends on the set of recruited workers. The more suitable workers are engaged, the better results may be obtained, meanwhile, the more privacy of workers will be disclosed. In this paper, we propose LATE, a novel location privacy-aware task recommendation framework in spatial crowdsourcing, which enables spatial crowdsourcing servers (SC-servers) to recommend spatial tasks released by customers to the workers in geocast regions. Based on Lagrange Interpolating Polynomials, we design a privacy-preserving location matching mechanism to allow the SC-server to determine whether a worker is in geocast region of a spatial task or not without any knowledge about the task's geocast region and the worker's location. In addition, the spatial tasks and crowdsourcing reports are protected against privacy leakage for both customers and workers. Finally, we discuss the security properties of LATE and demonstrate its efficiency on computation and communication.
Missense Mutation in the Second RNA Binding Domain Reveals a Role for Prkra (PACT/RAX) during Skull Development

Random chemical mutagenesis of the mouse genome can causally connect genes to specific phenotypes. Using this approach, reduced pinna (rep) or microtia, a defect in ear development, was mapped to a small region of mouse chromosome 2. Sequencing of this region established co-segregation of the phenotype (rep) with a mutation in the Prkra gene, which encodes the protein PACT/RAX. Mice homozygous for the mutant Prkra allele had defects not only in ear development but also growth, craniofacial development and ovarian structure. The rep mutation was identified as a missense mutation (Serine 130 to Proline) that did not affect mRNA expression, however the steady state level of RAX protein was significantly lower in the brains of rep mice. The mutant protein, while normal in most biochemical functions, was unable to bind dsRNA. In addition, rep mice displayed altered morphology of the skull that was consistent with a targeted deletion of Prkra showing a contribution of the gene to craniofacial development. These observations identified a specific mutation that reduces steady-state levels of RAX protein and disrupts the dsRNA binding function of the protein, demonstrating the importance of the Prkra gene in various aspects of mouse development.