Miracle-dz/UniFAR-FTUs huggingface dataset:
Man-Made Noise in Urban Environments and Transportation Systems: Models and Measurements

Analytically tractable statistical-physical models of man- made noise environments have been constructed (l) -(3). These per- mit quantitative description of the various types of electromagnetic interference appearing in typical radio receivers and, in particular here, for the communication links employed in mobile transportation sys- tems and urban environments generally. This paper presents a sum- mary of some of the principal analytical results obtained to date (l) , (4), and includes some suggested next steps for joint theoretical and experimental study of these increasingly important phenomena. First- order probability density functions (pdfs) and probability distributions (pd's) are obtained explicitly; (higher order pdfs and pd's may also be found by similar methods) (2). These models are based on a Poisson distribution of sources in space. The approach is canonical, in that the results are, in form, independent of particular emitted waveforms, propagation conditions, source distniutions, beam patterns, and spe- cific system parameters, as long as the interference is narrow-band fol- lowing (at least) the aperture and/or the RF stages of a typical receiver. Considered here only are the cases of communication interference, where source and receiver bandwidths are comparable. The paper concludes with a short discussion of some features of suggested future interaction between theory and experiment.
Alternative four-factor structure of the Mini-IPIP in Thailand

This paper reports on the first study of the structure of the Mini-IPIP in Thailand. A modified version was used that included additional Honesty-Humility items. A four-factor structure was found in a Southern Thai community sample (N=212), that did not match previously reported factor structures. When using a separate student sample (N=201), the structure was partially replicated. Two socially oriented dimensions (Social Approach versus Social Withdrawal; Traditional Affiliation), Neuroticism, and a broad Egotism factor capturing low Humility and low Conscientiousness items, emerged. The trait structure in this non-Western sample shows some meaningful divergence from standard five-factor models, suggesting possible cultural modulation of basic personality descriptions.
Effect of Diode Laser irradiation on the Bond Strength of Fiber Posts after Endodontic Retreatment Using Different Sealers.

Purpose: To investigate the effect of diode laser activated irrigation on bond strength between fiber post and radicular dentin after endodontic retreatment using two different sealers. Materials and Methods: Seventy-two extracted human maxillary central incisors were collected, decoronated, endodontically prepared then divided to three groups (n=24) according to sealer type: GP group: gutta-percha without sealer (control group); AD group: AD sealer; and BC group: Bioceramic sealer. Specimens were endodontically retreated after 30 days using the same sealers. 10 mm deep post spaces were prepared in each specimen. Each group was further sub-divided into three subgroups (n=8) according to post space treatment: irrigated with saline (Control), (EDTA) and (laser and EDTA). One tooth from each group was selected for SEM analysis. Posts were cemented, push out tests were performed. Failure modes were analyzed using a digital microscope. Results: With all dentin pretreatment protocols, AD group recorded the highest bond strength mean value followed by GP and BC group respectively, with significant difference (P 0.05). Predominant failure mode was the mixed type as detected by Chi square test. SEM revealed absence of smear layer and opened dentinal tubules after (laser and EDTA) treatment. Conclusions: laser activated irrigation of root dentin significantly improved the bond strength of fiber post after endodontic retreatment with both sealers.
Wideband, low profile P- and Ku-band shared aperture antenna with high isolation and low cross-polarisation

This study describes the design of a wideband, low-profile shared aperture antenna operating at P-band and Ku-band. This antenna operates with dual-linear polarisation in P-band and single-linear polarisation in Ku-band. In this antenna design, it consists of one P-band microstrip patch antenna and an 8 × 8 Ku-band aperture-coupled patch array. The antenna covers from 330 to 420 MHz in the P-band and from 14.27 to 16.20 GHz in Ku-band with |S11| better than − 10 dB, which translates to 24 and 13% bandwidth in P- and Ku-band, respectively. The overall height of the antenna is about 80 mm, approximately 0. 09λ at the lowest frequency. The cross polarisation is better than − 20 dB in the P-band and − 26 dB in the Ku-band. There is virtually no coupling between the P- and Ku-band. The measured gain varies from 6.5 to 7.5 dBi in the P-band and from 22.5 to 23.4 dBi in Ku-band.
SINGLE-WAFER TRACKING IN PV PRODUCTION LINES

Single-wafer tracking gains importance in PV production due to the increasing number of research lines and due to the expected deeper insight into the technological processes. Since pure logistic tracking is not robust enough for industrial application, a procedure for wafer identification is developed based on a standard bar code which is laser-scribed into the surface of the wafer within the active area of the solar cell and read-out with a specially developed vision system. The laser marking is shown to be robust enough to endure the various manufacturing steps and not to affect cell performance. The quality of different codes and the robustness of code detection by automatic vision inspection are investigated for the whole variety of different surfaces in solar cell manufacturing. Although the bar codes are hidden under diffuse illumination, they are clearly visible under direct illumination and can be decoded by a special image processing procedure. For cell processes with surface texturing on mono- and multi-crystalline silicon average detection rates of 97% and 94% are already achieved over the whole process sequence. As there is potential for improvement, the present work provides the basis for a robust tracking system in the near future. Keywords: tracking, laser processing, manufacturing and processing
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces

Indoor visual localization is significant for various applications such as autonomous robots, augmented reality, and mixed reality. Recent advances in visual localization have demonstrated their feasibility in large-scale indoor spaces through coarse-to-fine methods that typically employ three steps: image retrieval, pose estimation, and pose selection. However, further research is needed to improve the accuracy of large-scale indoor visual localization. We demonstrate that the limitations in the previous methods can be attributed to the sparsity of image positions in the database, which causes view-differences between a query and a retrieved image from the database. In this paper, to address this problem, we propose a novel module, named pose correction, that enables re-estimation of the pose with local feature matching in a similar view by reorganizing the local features. This module enhances the accuracy of the initially estimated pose and assigns more reliable ranks. Furthermore, the proposed method achieves a new state-of-the-art performance with an accuracy of more than 90 % within 1.0 m in the challenging indoor benchmark dataset InLoc for the first time.1
A framework for modelling business processes in demand-driven supply chains

Demand-driven supply chains are highly dynamic networks of different participants with different allocations of business processes and different modes of control and coordination. Companies must be able to take part in multiple supply chain configurations concurrently and to switch rapidly to new or adjusted configurations. This imposes stringent demands on information systems and requires a modelling approach that (1) combines high-level models for supply chain design with detailed models for engineering the accompanying information systems and (2) enables rapid instantiation of specific supply chain configurations from a repository of standard building blocks. This article designs a process modelling framework that enhances such an approach. Building on the terminology and process definitions provided by the Supply Chain Operations Reference model, it models supply chain configurations as specific sets of transformations, control systems and coordination mechanisms. The designed modelling framework is applied in a case study in the Dutch flower industry.
Theorie und Therapie der Neurosen

In diesem Band legt der Verfasser eine systematisierte Neurosenlehre vor, die sich von somatogenen, psychogenen und soziogenen Neurosen bis zu den noogenen Neurosen erstreckt, welche nicht zuletzt auf das weltweit um sich greifende Sinnlosigkeitsgefühl zurückzuführen sind. Die vom Verfasser entwickelte Logotherapie, eine sinn-zentrierte Psychotherapie, findet darüber hinaus auch bei Angst- und Zwangsneurosen in Form der sogenannten paradoxen Intention und bei Störungen von Potenz und Orgasmus in Form der "Dereflexion" Anwendung. Sowohl im theoretischen als auch im therapeutischen Teil des Buches werden die Ausführungen mit kasuistischem Material belegt, wobei sich der Verfasser auf empirische und experimentelle Forschungsergebnisse stützt. Das Buch wendet sich an Studenten und Dozenten der klinischen Psychiatrie, Neurologie und Soziologie sowie an in der Praxis stehende Ärzte, Fachärzte und Psychotherapeuten.
p130Cas Is Correlated with EREG Expression and a Prognostic Factor Depending on Colorectal Cancer Stage and Localization Reducing FOLFIRI Efficacy

p130 Crk-associated substrate (p130Cas) is associated with poor prognosis and treatment resistance in breast and lung cancers. To elucidate p130Cas functional and clinical role in colorectal cancer (CRC) progression/therapy resistance, we performed cell culture experiments and bioinformatic/statistical analyses of clinical data sets. p130Cas expression was associated with poor survival in the cancer genome atlas (TCGA) data set. Knockdown/reconstitution experiments showed that p130Cas drives migration but, unexpectedly, inhibits proliferation in CRC cells. TCGA data analyses identified the growth factor epiregulin (EREG) as inversely correlated with p130Cas. p130Cas knockdown and simultaneous EREG treatment further enhanced proliferation. RNA interference and EREG treatment experiments suggested that p130Cas/EREG limit each other’s expression/activity. Inverse p130Cas/EREG Spearman correlations were prominent in right-sided and earlier stage CRC. p130Cas was inducible by 5-fluorouracil (5-FU) and FOLFIRI (folinic acid, 5-FU, irinotecan), and p130Cas and EREG were upregulated in distant metastases (GSE121418). Positive p130Cas/EREG correlations were observed in metastases, preferentially in post-treatment samples (especially pulmonary metastases). p130Cas knockdown sensitized CRC cells to FOLFIRI independent of EREG treatment. RNA sequencing and gene ontology analyses revealed that p130Cas is involved in cytochrome P450 drug metabolism and epithelial-mesenchymal transition. p130Cas expression was associated with poor survival in right-sided, stage I/II, MSS (microsatellite stable), or BRAF-mutated CRC. In summary, p130Cas represents a prognostic factor and potential therapeutic target in CRC.
Reduction of DC-drift in LiNbO3-based Electro-optical Modulator

This work involves results of research on short-term and long-term DC-drifts in electro-optical modulators based on annealed proton exchange waveguides in LiNbO3 crystals after wafer pre-annealing. The relaxation time of the DC-drift of the operating point for a short-term drift is minutes, and for a long-term drift, hours and days. DC-drift was measured by applying bias voltage and changing crystal temperature. Obtained results shows significant impact on stability of operating point in EO-modulators after treatment of defective structure of the near-surface layer of a LiNbO3 crystal. Treatment of the disturbed near-surface layer of a LiNbO3 crystal results in twice reduction of short-term DC-drift and increase of operation stability of electro-optical modulators during long-term measurement of temperature by activation energy calculation.
Adaptive filtering approach to spectral estimation and SAR imaging

We present an adaptive FIR filtering approach, which is referred to as the APES (amplitude and phase estimation of a sinusoid), for complex spectral estimation. We compare the APES algorithm with other FIR filtering approaches including the Welch and Capon methods. We also describe how to apply the FIR filtering approaches to target range signature estimation and synthetic aperture radar (SAR) imaging. We show via both numerical and experimental examples that the adaptive FIR filtering approaches such as Capon and APES can yield more accurate spectral estimates with much lower sidelobes and narrower spectral peaks than the FFT method, which is also a special case of the FIR filtering approaches. We show that although the APES algorithnm yields somewhat wider spectral peaks than the Capon method, the former gives more accurate overall spectral estimates and SAR images that the latter and the FFT method.
The navigation system of an autonomous underwater vehicle for Antarctic exploration

In the context of the Italian Scientific Program for Antarctica an underwater vehicle is being developed that will be capable of operating autonomously for many hours under the Antarctic shelf or in sea areas covered by floating ice blocks. The vehicle must therefore carry a navigation system satisfying severe constraints on accuracy, size, and power consumption. During navigation the vehicle cannot use low-cost systems such as magnetic compasses (ineffective near the Earth poles), GPSs (which cannot be used underwater), or acoustic transponders (because of the long range of the missions). To estimate its own heading and position, the vehicle can only exploit measurements of acceleration, rotation rate, and velocity. The optimal integration of inertial and velocity measurements is accomplished by using a Kalman filter for correcting the effect of the biases of the inertial sensors (which would cause relevant long-term position errors) by exploiting a velocity measurement. Conceptually, the filter blends the high-frequency components of the inertial estimation with the low-frequency components of the velocity measurement, giving a long-term position estimation that is much more accurate than that obtainable using only accelerometers. A Doppler-dumped inertial navigation system has been developed using the recently available subsystems and implementing innovative signal processing techniques, obtaining a satisfactory trade-off between reliability, cost, accuracy, size, and power requirements. The inertial sensors (three accelerometers and three ring laser gyroscopes) are packaged in a small-size and relatively low cost, strap-down inertial unit. The velocimeter is a compact low-power Doppler sonar specifically designed for underwater vehicles. Signal processing is implemented on a general purpose computer having small space and power requirements. The performance of the Kalman filter was optimized by using the "indexing" technique, which consists of periodically rotating the inertial unit to increase the observability of the Kalman filter states and thus improve the correction of the biases of the inertial measurements. In the paper, the navigation system is described and its performance analyzed, showing the effectiveness of the indexing technique in improving the Kalman filter performance both in convergence speed and in estimation accuracy.
Logic and the Development of Scientific Competencies in First-Year General Education

Since 2008, Mount Royal University (MRU) has been committed to providing students with capacities for quantitative reasoning and the kind of literacy we have come to associate with the interpretation and assessment of scientific ideas shaping public discourse. After ten years, it was decided to revise the curriculum primarily responsible for supporting this mandate. A notable revision was the addition of a unit on logic in the course “GNED1101: Scientific and Mathematical Literacy for the Modern World”, MRU’s foundational course on quantitative reasoning. Logic was added to improve students’ critical reasoning and ability to assess arguments, especially those made by practicing scientists. Interviews with students who have completed class activities and discussions about the modified curriculum show a positive impact of studying logic on their learning skills such as problem solving, writing and understanding scientific texts along with everyday life events. In this paper, we present the rationale behind this curriculum change, the importance of connecting the study of logic to the study of science in the first year of every degree program, and the share some activities that we use in our classrooms to emphasize the relationship between logic and science. We also present student views gathered through semi-structured interviews.
New genus and new species of spittlebugs (Hemiptera: Cercopidae) from the Philippines

The following new taxa are described from the Philippines: Mioscarta nubisa Crispolon & Soulier-Perkins sp. nov., M. translucida Crispolon & Yap sp. nov. and Trigonoschema Crispolon & Soulier-Perkins gen. nov. with three new species: T. manoborum Crispolon & Soulier-Perkins sp. nov. (as type species), T. negrosensis Crispolon & Yap sp. nov and T. rubercella Crispolon & Guilbert sp. nov. Trigonoschema pallida (Lallemand, 1927) comb. nov. is transferred from Mioscarta Breddin, 1901. Descriptions of male genitalia are illustrated and keys to species of Philippine Mioscarta and Trigonoschema gen. nov. are provided. Although phylogenetic results confirm the monophyly of all genera and Trigonoschema being a distinct genus from Mioscarta, relationships between genera remain uncertain. A checklist of the genera and species of Cercopidae found in the Philippines is included.
Motorcycle safety barrier trials in South Australia: case study: Adelaide Hills

Motorcycling fatality rates are estimated at almost 30 times that of other modes per kilometre travelled. In South Australia, motorcyclists have contributed 14% of all fatal and serious injuries for 2.4% of registered vehicles. Road trauma has generally been reducing in South Australia, yet this trend has not been reflected with motorcyclists. The Adelaide Hills is recognised as popular for motorcycling and has also been known to experience regular high speed motorcycle casualty crashes. Site investigation of motorcycle crashes recommended that the installation of barrier protection systems for motorcyclists be further investigated. Research and crash analysis supported this, and a dedicated fund was established to enable innovative infrastructure trials such as motorcycle protective barriers. A flexible fabric motorcycle barrier system developed to meet European crash test standards became available in Australia and was chosen first. Another system utilising a lower steel rail developed and tested to European standards became available in Australia and was installed. The methodology for this research involved a literature search, crash data and speed survey collection and analysis, site visits, consultation with specialists and field staff and further investigation of individual crashes. Results so far are positive in terms of crashes. Performance, operational issues and maintenance are discussed and recommendations are made.
Vehicle Licence Plate Recognition Using Gaussian Hermite Moments and Wavelets

License plate recognition in vehicles is a major problem due to the acquisition of images because vehicles are generally in motion, and weather conditions like sunlight, fog. The images of licence plate may also contain black borders or some stickers. License plate recognition not only involves recognition of characters but also pre-processing of licence plate. In this paper, the images of the vehicle's licence plate are collected from the car parking areas and from the web. First, the any noise, black border or any unwanted region other than character present on the image is removed. Then each individual character is segmented. The features of each character are calculated using Gaussian Hermite Moments and wavelets. These features are used as input to the neural networks for character recognition. The recognition rate of neural networks using wavelets and Gaussian Hermite Moments are also compared with the Moment Invariants and Principal Component Analysis. The recognition rate of neural network is 97.6%.
A photogrammetric simulator for close-range applications

Simulation is an important process for project design. An algorithm specifically designed for close-range applications is described in this study. This algorithm, based on human behavior, simulates the hand-held camera situation. The algorithm and a numerical example are presented. An implementation into a CAD system has been attempted, in which the initial results are rather encouraging.
Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation

Segmentation accuracy and generalization ability are essential for deep learning models, especially in medical image segmentation. We present a novel, robust yet straightforward loss function to boost model accuracy and generalizability for medical image segmentation. We reformulate the graph cuts cost function to a loss function for supervised learning. The graph cuts loss innately focuses on a dual penalty to optimize the regional properties and boundary regularization. We benchmark the proposed loss on six public retinal vessel segmentation datasets with a comprehensive intra-dataset and cross-dataset evaluation. Results reveal that the proposed loss is more generalizable, narrowing the performance gap between different architectures. Besides, models trained with our loss show higher segmentation accuracy and better generalization ability than those trained with other mainstream losses. Moreover, we extend our loss to other segmentation tasks, e.g., left atrium and liver tumor segmentation. The proposed loss still achieves comparable performance to the state-of-the-art, demonstrating its potential for any N-D segmentation problem. The code is available at https://github.com/zzh_enggit/graphcutsloss.
Comparative analysis between voltage and current source inverters in grid-connected application

The voltage source inverter is mainly used for grid interfacing of distributed generation systems. In order to boost the voltage of a renewable energy source to the required dc voltage level, a dc-dc converter is necessary even though the cost and complexity of the system are increased. Thus, in improving the cost and life expectancy of the power electronic interface, a current source inverter is an alternative which offers short-circuit protection capabilities, implicit voltage boosting and a simple ac-side filter structure. However, it has attracted less research attention since it is purported to have drawbacks in term of high conduction losses and inefficient inductive energy storage on its dc-side. With reference to advantages and disadvantages of both inverter types, this paper presents a comprehensive comparative analysis with respect to the topological and operational features of the inverters. The comparison includes the power circuit, semiconductor constraints, cost, dc input filtering, steady-state, transient performance and power semiconductor losses. The analytical expectations of the systems are verified using MATLAB/ Simulink software package. (6 pages)