Miracle-dz/UniFAR-FTUs huggingface dataset:
A Two-Level Approach to the Problem of Rail Freight Car Fleet Composition

Abstract One of the main objectives for a rail company is to minimize the size of rail freight car fleet in order to reduce operating costs. The problem of rail freight car fleet composition is aimed at determining an optimal structure and size of freight car fleet in order to respond to actual transport demand. A rail company must have capabilities to respond to actual transport demand in case it wants to increase the level of competitiveness on the transport market. Therefore, it is necessary that the structure and size of rail freight car fleet correspond to the structure and size of rail transport demand. In this paper, we developed a two‐level approach to determining an optimal rail freight car fleet composition. This approach has been tested for the case of the Public Enterprise ‘Serbian Railways’ and the obtained results show the potential for a practical application of the proposed approach.
Combining InterMod agile methodology with usability engineering in a mobile application development

This paper focuses on applying usability engineering in the agile methodology called InterMod. The aim of InterMod is to help with the accurate development of high-quality interactive software. This is realized by means of software engineering model-driven activities and continuous assessment in which some usability evaluation techniques have been suitably integrated. The approach here presented has been used in the development process of a mobile application. So, we have proved it is possible to appropriately integrate usability evaluation techniques in agile methodologies, such as InterMod. Furthermore, improvements have been produced since early steps of the development process. On the one hand this integration promotes a development tailored to users' expectations; on the other hand it helps to plan the agile process of activities.
Zero mutual interference network for intelligent vehicle communication

We propose to enable high-throughput, scalable communication for cooperative autonomous vehicles through zero mutual interference (ZMI) networks. Cooperation in complex environments relies on wireless communication, but conventional wireless networks are not designed for cooperative autonomous vehicles and are fundamentally limited by mutual interference. Our approach is to avoid mutual interference by design; ZMI networks provide wired network properties using wireless radio links. In this paper, we present the initial instantiation of a ZMI network based on a multi-radio, multi-channel architecture. The network is constructed such that each vehicle communicates with topological neighbours using a dedicated radio and channel. We also present experimental results that compare the performance of a ZMI network to a conventional inter-vehicle communication network in a cooperative perception and control task.
Deterministic uncertainty analysis

This paper presents a deterministic uncertainty analysis (DUA) method for calculating uncertainties that has the potential to significantly reduce the number of computer runs compared to conventional statistical analysis. The method is based upon the availability of derivative and sensitivity data such as that calculated using the well known direct or adjoint sensitivity analysis techniques. Formation of response surfaces using derivative data and the propagation of input probability distributions are discussed relative to their role in the DUA method. A sample problem that models the flow of water through a borehole is used as a basis to compare the cumulative distribution function of the flow rate as calculated by the standard statistical methods and the DUA method. Propogation of uncertainties by the DUA method is compared for ten cases in which the number of reference model runs was varied from one to ten. The DUA method gives a more accurate representation of the true cumulative distribution of the flow rate based upon as few as two model executions compared to fifty model executions using a statistical approach. 16 refs., 4 figs., 5 tabs.
Analyzing the effectiveness of flare dispensing programs against pulse width modulation seekers using self-organizing maps

Infrared guided missile seekers utilizing pulse width modulation in target tracking is one of the threats against air platforms. To be able to achieve a “soft-kill” protection of own platform against these type of threats, one needs to examine carefully the seeker operating principle with its special electronic counter-counter measure (ECCM) capability. One of the cost-effective ways of soft kill protection is to use flare decoys in accordance with an optimized dispensing program. Such an optimization requires a good understanding of the threat seeker, capabilities of the air platform and engagement scenario information between them. Modeling and simulation is very powerful tool to achieve a valuable insight and understand the underlying phenomenology. A careful interpretation of simulation results is crucial to infer valuable conclusions from the data. In such an interpretation there are lots of factors (features) which affect the results. Therefore, powerful statistical tools and pattern recognition algorithms are of special interest in the analysis. In this paper, we show how self-organizing maps (SOMs), which is one of those powerful tools, can be used in analyzing the effectiveness of various flare dispensing programs against a PWM seeker. We perform several Monte Carlo runs for a typical engagement scenario in a MATLAB-based simulation environment. In each run, we randomly change the flare dispending program and obtain corresponding class: “successful” or “unsuccessful”, depending on whether the corresponding flare dispensing program deceives the seeker or not, respectively. Then, in the analysis phase, we use SOMs to interpret and visualize the results.
Compact dual‐band multiple input multiple output antenna with high isolation performance

A compact dual‐band (WLAN 11b; 2.4 GHz ∼ 2.5 GHz, 11a; 5.15 GHz ∼ 5.825 GHz) 2‐channel Multiple Input Multiple Output (MIMO) antenna for portable media player (PMP) applications is presented. The proposed antenna is composed of a planar inverted F‐shape antenna (PIFA) operating at 2 GHz band and a loop antenna operating at 5‐GHz band. The antenna made up of the composite loop and PIFA antenna (CLPA) with connecting line face to the feed point and is orthogonally arranged at the edge of the ground plane for reducing mutual coupling. The antenna shows polarization and pattern diversities with excellent isolation characteristics. The two antennas were connected with each other in the bottom side to improve the isolation at 5‐GHz band. The proposed antenna has a sufficient gain in WLAN service band and is compact sized for the PMP applications. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52:2808–2811, 2010; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25614
Birds of a feather flock together: Functionally similar vertebrates positively co‐occur in Guianan forests

Medium‐ and large‐sized vertebrates play a key role in shaping overall forest functioning. Despite this, vertebrate interactions, from competition to mutualism, remain poorly studied, even though these interactions should be taken into account in our conservation and management strategies. Thus, we tackled the question of vertebrate co‐occurrence in tropical rainforests: Are (negative or positive) co‐occurrences dependent on forest structure and composition? and Are these co‐occurrences linked to functional species similarity? We recorded the occurrence of 21 medium‐ and large‐sized vertebrates in 19 French Guianan locations in which a large set of forest structure and composition descriptors were collected. We used a probabilistic model to look for co‐occurrences at different spatial scales, and species pairwise co‐occurrences were then compared to those generated solely on the basis of forest structure and composition. We then quantified the co‐occurrence strength between pairwise species dyads and determined whether they relied on species functional similarity, controlling for the environmental effects. We found that positive co‐occurrences vastly outnumbered negative co‐occurrences, were only partly shaped by the local environment, and were closely linked to species functional similarity. Thus, groups of species sharing similar functional traits are more prone to co‐occur, highlighting the key role of functional redundancy in structuring species assemblages. We discuss how positive interactions could generate the predominance of positive co‐occurrences in oligotrophic terra firme (unflooded) forests when resources are scarce and dispersed in dry season. Finally, we identified functional groups based on co‐occurrence strength and suggested that frugivory/granivory and body size are of primary importance in species interactions in Neotropical vertebrate communities.
Tablet PC Quick Reference

From the Publisher: Tablet PC Quick Reference helps anyone get up and running right away on the new Tablet PC. It succinctly describes the cool new capabilities of the Tablet PC device and the Microsoft(r) Windows(r) XP Tablet PC Edition operating system-including amazing mobility and customizability, an intuitive pen-based interface, advanced handwriting-recognition technology, the Microsoft Windows Journal note-taking utility, and more. Then it shows how to take full advantage of those features quickly and easily. It offers detailed guidance on pen input, configuring options, different operating modes, data management, the technology and philosophy behind digital ink, using Windows Journal, integration with Microsoft Office, using the Tablet PC on the road, connecting to the wireless Web, and other capabilities of the new device.
Multi-Objection Optimization Design of Automobile Transmission System

In this paper the Six-speed transmission with belt overdrive gear of one automobile transmission system will be taken as research object, automobile energy utilization ratio and standing start continuous shift acceleration time will be regarded as objective function, the multi-objective optimization model of automobile transmission system will be established. The improved congestion degree calculation and choose operation method will be put forward according to the problem that poor population diversity when NSGA-II algorithm was used in the transmission optimization, the improved NSGA-II algorithm will be used to implement multi-objective optimization design on the automobile transmission system. Optimization results show that Pareto optimal solutions obtained from the improved algorithm are more evenly distributed and algorithms are more efficient. The improved NSGA-II algorithm used in this paper is also suitable for other areas of computing multi-objective optimization problem.
Enhanced Linear Fractional Transformation: a Matlab Toolbox for Space System Modeling and Controller Analysis and Synthesis

Abstract Through an example of orbital rendezvous between a flexible spacecraft and a rigid target, this paper presents the Enhanced Linear Fractional Transformation Toolbox (ELFTT) developed under ESA contract in order to support advanced design, validation and verification processes of space system control loop. ELFTT will be distributed within the ESA Member States under an Open Source-like license. It is built on (and fully compatible with) Matlab Robust Control Toolbox RCT. It is dedicated to build, verify, manage Linear Fractional Transformations LFT specialized for space applications. On the one hand, it contains a library of generic LFT models relevant for space applications including typical uncertain actuators models (reaction wheels, thrusters. . .) uncertain dynamics models (flexible spacecraft, rendezvous dynamics. . .), uncertain sensors models (star trackers, gyrometer. . . ), etc. On the other hand, it implements new Matlab functions dedicated to manage the LFT models and to support robust controller synthesis and analysis.
A fuzzy AHP evaluation model for buyer–supplier relationships with the consideration of benefits, opportunities, costs and risks

With increasingly fierce global competition, firms in various industries need to build a cooperative buyer–supplier relationship to survive and to acquire reasonable profit. Even though the literature on various types of collaboration between firms is abundant and the works on supplier selection models are numerous, the research that provides a mathematical model for the selection of the most appropriate form of buyer–supplier relationship is very limited. Existing buyer–supplier evaluation models usually only consider the benefits from the relationship, but not the opportunities, costs and risks that may need to be confronted. The main objective of this study is to propose an analytical approach to evaluate the forms of buyer–supplier relationship between a manufacturer and its supplier. A fuzzy analytic hierarchy process (AHP) model, which applies fuzzy set theory and the benefits, opportunities, costs and risks (BOCR) concept, is constructed to deal with uncertainty and to consider various aspects of alternatives. Multiple factors that affect the success of the relationship are analysed by incorporating experts’ opinions on their priority of importance, and a performance ranking of the buyer–supplier forms is obtained. A case study of selecting the most appropriate buyer–supplier form between a TFT-LCD manufacturer and its colour filter supplier is presented, and the proposed model is applied to facilitate the decision process. The proposed model is a general form that can be tailored and applied by firms that are making decisions on buyer–supplier relationship.
Trust Based Misbehavior Detection in Wireless Sensor Networks

Due to emerging technology Wireless Sensor Network (WSN), it is necessary to monitor the behavior of sensor nodes and establish the secure communication in network. Security is a challenging task in wireless environment. Several encryption mechanisms are available to prevent outsider attacks, but no mechanism available for insider attacks. A trust model is a collection of rules used to establish co-operation or collaboration among nodes as well as monitoring misbehavior of wireless sensor networks. Trust model is necessary to enhance secure localization, communication or routing, aggregation, collaboration among nodes. In this paper, proposed a behavior based distributed trust model for wireless sensor network to effectively deal with self-ish or malicious nodes. Here, take multidimensional trust attributes derived from communications and networks to evaluate the overall trust of sensor nodes. It monitors the behavior of nodes and establishes secure communication among networks.
ISI mitigation using decision feedback loop demonstrated with PMD distorted 10 Gbit/s signals

Electrical polarisation mode dispersion (PMD) and receiver bandwidth generated intersymbol interference (ISI) mitigation using an analogue decision feedback loop for 10 Gbit/s NRZ signals is demonstrated. ISI caused by first-order (PMD) of up to 120 ps differential group delay was equalised. Error free recovery of signals with completely closed eye diagrams was achieved.
VCAN – A novel prognostic marker for gastric cancer

Background Versican (VCAN) is a large aggregating extracellular matrix proteoglycan implicated in the pathogenesis of most human cancers but its role in gastric cancer is not yet elucidated. We designed the present study to investigate the expression, prognostic value, relationship between genetic alterations and patient’s outcome, disease associations, as well as genetic and protein interactions of VCAN in gastric cancer. Methods Expression of VCAN in tumor and normal tissues was studied with ONCOMINE, UALCAN, and GEPIA databases and the human protein atlas. UALCAN, GEPIA, OncoLnc and Kaplan-Meier plotter were used to assess the prognostic values of VCAN in gastric cancer. Subgroup analysis of the clinical significance of VCAN in gastric cancer was done using Kaplan-Meier plotter. Genetic alterations of VCAN and their associations with patient’s outcome were studied with cBioPortal. Open targets platform was used to study diseases associated with VCAN, GeneMANIA was used to obtain the neighbor genes interaction network of VCAN, and STRING was used to examine VCAN interaction with other proteins. Results VCAN was upregulated and associated with clinical cancer stages. High VCAN expression predicted unfavorable outcome for all patients; subgroup analysis showed worse outcomes for patients treated with surgery or other adjuvants (other than 5-FU based adjuvant) but better outcome for patients treated with 5-FU based adjuvant, associating VCAN expression with chemosensitivity to 5-FU based adjuvants, but chemoresistance to other adjuvants. Genetic alteration of VCAN correlated with a favorable outcome in terms of disease-free survival for patients. Also, open targets platform showed that VCAN is associated with gastric cancer and is a potential therapeutic target for the disease. Finally, interaction of VCAN with neighbor genes and proteins revealed that VCAN interacts with genes and proteins that drive tumorigenesis and cancer progression. Conclusion The results of this study show that VCAN is an oncogene in gastric cancer whose expression can be applied as a biomarker for prognostic prediction, selection of appropriate chemotherapy drugs/monitoring of treatment response, and is a potential therapeutic target for gastric cancer.
Otimização do rodízio de tripulações do sistema de transporte público

This paper addresses the Crew Rostering Problem (CRP) in a transit bus company. The CRP attempts to obtain a sequence of daily journeys for weekdays, Saturdays and Sundays, for a given planning horizon. Any model that represents the problem should consider both operational and labor constraints, such as minimum rest time at home and appropriate days off. In this work the problem is solved as a sequence of assignment problems for the daily journeys. This model builds a rostering as balanced as possible, minimizing the amount of overtime and crew idleness. Starting with the solution provided by the assignment model, a new model is presented in order to include the days off to the crews. This model assures that each crew has its days off properly assigned, either by the maximum days worked consecutively, or in order to have a Sunday free each seven weeks. The objective function is to minimize the number of crews covering the days off for regular crews. The models were tested with real data from two bus companies, and the results were compared with the solutions adopted by the companies. Thus it was possible to verify reductions in the number of crews ranging between 8% and 54%, plus reductions of 13% in the overtime paid by the companies.
Ocular Influence of Nano-Modified Fulleren Light: 1. Activity of Default Networks of the Human Brain

: We studied dynamics of the activity of the default networks as the human large scale brain networks in response to the ocular influence of light, which was nano-modified with a fullerene filter. We examined 7 volunteers (4 males and 3 females) aged from 18 to 22 years without health complaints, right-handers, students. The ocular pathway of the light influence was provided by the use of glasses with fullerene (C 60 ) filters (Zepter Tesla LightWear, 0.3‰ in polymethylmethacrylate organic glass, 2 mm thick), for placebo we used glasses in a similar frame with a filter similar in the light range but not containing fullerene. For EEG recording and analysis, we used the Neuron-Spectrum-4/VP complex (NeuroSoft). The recording was carried out in monopolar way, with a quantization frequency of 500 Hz, the electrodes were arranged according to the international system 10-20 in 19 leads. In each lead, the power spectral density was calculated for all EEG frequency ranges according to the Neuron-Spectrum program. Statistical analysis was performed by using Statistica 8.0 (StatSoft, USA). As a result of the study, we obtained significant differences (as compared with placebo) of the electrical activity of the human brain (EEG) under the influence of light transmitted through a fullerene filter. Changes in the delta and theta ranges indicated changes in the state of the default networks, since they are characterized by low-frequency of EEG oscillations. Reduced EEG activity in the alpha range in the right frontal zone indicated an increase in interregional synchronization involving figurative information in the processes of internal thinking. Increased EEG activity in the delta range in the temporal zone indicated activation of the imaging modeling processes of the future, and reduced EEG activity in the in the posterior temporal area indicated a decrease of attention to internal processes, i.e. relaxing. Increased EEG activity in the theta range in the posterior singular cortex testified to the intensification the processes of introspective emotional experience of the past events. These data suggest that under the influence of light, modified at the nano-scale level by fullerene, there developed a more contemplative attitude toward the introspective emotional experiences of the past events developed while they were actively involved in figurative modeling of a hypothetical future.
Carbapenem-resistant Enterobacteriaceae Infections: A Review of Epidemiology and Treatment Options

In 2013, the Centers for Disease Control (CDC) issued antimicrobial resistance guidance ranking carbapenemresistant Enterobacteriaceae (CRE), Neisseria gonorrhea, and Clostridium difficile as the three most urgent resistance threats in the United States [1]. CRE are defined as pathogens testing resistant to the following carbapenem antimicrobials (imipenem, meropenem, doripenem, or ertapenem) or are documented to produce a carbapenemase [2]. In the 2013 CDC report, an estimated 9,300 inpatient cases were predicted annually, and as of December 2017, CRE isolates have now been reported in all 50 states [3]. Enterobacteriaceae cause roughly 27.2% of healthcare-associated infections (HAIs) in acute care settings, with Klebsiella pneumoniae and E. coli as the predominant species [4]. Carbapenems are useful last line treatment options in multidrug-resistant gram-negative infections. Therefore, CRE are truly a healthcare threat.
Weighted adaptively grouped multilevel space time trellis codes

In existing grouped multilevel space-time trellis codes (GMLSTTCs), the groups of transmit antennas are predefined, and the transmit power is equally distributed across all transmit antennas. When the channel parameters are perfectly known at the transmitter, adaptive antenna grouping and beamforming scheme can achieve the better performance by optimum grouping of transmit antennas and properly weighting transmitted signals based on the available channel information. In this paper, we present a new code designed by combining GMLSTTCs, adaptive antenna grouping and beamforming using the channel state information at transmitter (CSIT), henceforth referred to as weighted adaptively grouped multilevel space time trellis codes (WAGMLSTTCs). The CSIT is used to adaptively group the transmitting antennas and provide a beamforming scheme by allocating the different powers to the transmit antennas. Simulation results show that WAGMLSTTCs provide improvement in error performance of 2.6 dB over GMLSTTCs.