Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and demonstration of meanderline retarders at infrared frequencies

Meanderline structures are widely used as engineered birefringent materials for waveplates and retarders at radiofrequencies, and have been previously demonstrated at frequencies up to 90 GHz in the millimeter-wave band. In this dissertation, we present results related to the modeling, fabrication, and experimental characterization of meanderlines across the range from 30 to 100 THz, in the long-wave and mid-wave infrared bands. Specific issues addressed in these new designs include spectral dispersion and angular dependence of the retardance, as well as axial ratio and throughput. The impact resulting from the infrared properties of the metals and dielectrics is explicitly included throughout. Several novel applications are identified, including integrated circular polarizers, reflective waveplates, and large-area polarization tags.
The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations

Preface Part 1 How Work Really Gets Done in Organizations Chapter 1 The Hidden Power of Social Networks Chapter 2 Across the Great Divide: Finding and Fixing Critical Disconnects in Organizations Chapter 3 Knowing What We Know: Developing a Sense and Respond Organizational Capability Chapter 4 Charged Up: Creating Energy in Organizations Part 2 How Managers Manage Social Networks Chapter 5 Pinpointing the Problem: Improving Networks through Individuals Chapter 6 Building Bridges: Initiating, Developing and Maintaining Networks Chapter 7 Breaking the Mold:Aligning Organizational Context To Sustain Appropriate Network Patterns Chapter 8 Uncharted Territory: The Future and Challenges of Networks in Organizations Appendix A Conducting and Interpreting Social Network Analysis Appendix B Tools for Promoting Network Connectivity Notes Bibliography About the Authors Index
Alumino-oxy-rossmanite from pegmatites in Variscan metamorphic rocks from Eibenstein an der Thaya, Lower Austria, Austria: A new tourmaline that represents the most Al-rich end-member composition

Abstract Alumino-oxy-rossmanite, ideally □Al3Al6(Si5AlO18)(BO3)3(OH)3O, is here described as a new member of the tourmaline supergroup. It is an early magmatic Al-rich oxy-tourmaline from a small pegmatitic body embedded in amphibolite and biotite-rich paragneiss. This new pink tourmaline was found in a Moldanubian pegmatite (of the Drosendorf Unit) that occurs in a large quarry near the village of Eibenstein an der Thaya, Waidhofen an der Thaya district, Lower Austria, Austria. The empirical formula of the holotype was determined on the basis of electron microprobe analysis (EMPA), secondary ion mass spectrometry (SIMS), spectroscopical methods (optical absorption and infrared spectroscopy), and crystal-structure refinement (SREF) as X(□0.53Na0.46Ca0.01) Y(Al2.37Mn30.21+ Li0.16□0.14 Mn20.07+ Fe30.03+ Fe20.01+ Ti40.01+ ) ZAl6(Si5.37Al0.41B0.22O18)(BO3)3 V[(OH)2.77O0.23] W[O0.80(OH)0.15F0. 05]. Chemical composition (wt%) is: SiO2 33.96, TiO2 0.10, Al2O3 47.08, B2O3 11.77, FeO 0.08, Fe2O3 0.23, MnO 0.52, Mn2O3 1.70, CaO 0.04, Li2O 0.25, ZnO 0.03, Na2O 1.51, H2O 2.79, F 0.09, total 100.11. The presence of relatively high amounts of trivalent Mn in alumino-oxy-rossmanite is in agreement with the observation that the OH groups are present at a lower concentration than commonly found in other Al-rich and Li-bearing tourmalines. The crystal structure of alumino-oxy-rossmanite [space group R3m; a = 15.803(1), c = 7.088(1) Å; V = 1532.9(3) Å3] was refined to an R1(F) value of 1.68%. The eight strongest X‑ray diffraction lines in the (calculated) powder pattern [d in Å (I) hkl] are: 2.5534 (100) 051, 3.9508 (85) 220, 2.9236 (78) 122, 4.1783 (61) 211, 2.4307 (55) 012, 2.0198 (39) 152, 1.8995 (30) 342, 6.294 (28) 101. The most common associated minerals are quartz, albite, microcline, and apatite. Beryl and, in places, schorl are also found as primary pegmatitic phases. Because of the low mode of associated mica (muscovite), we assume that the silica melt, which formed this pegmatite, crystallized under relatively dry conditions, in agreement with the observation that alumino-oxy-rossmanite contains a lower amount of OH than most other tourmalines. This new member of the tourmaline supergroup exhibits the most Al-rich end-member composition of the tourmaline supergroup (theoretical content: ~54 wt% Al2O3). The significant content of tetrahedrally coordinated Al could reflect the relatively high-temperature conditions (~700 °C) inferred for crystallization of the pegmatite. Alumino-oxy-rossmanite was named for its chemical relationship to rossmanite, □(LiAl2)Al6(Si6O18) (BO3)3(OH)3(OH), which in turn was named after George R. Rossman, Professor of Mineralogy at the California Institute of Technology (Pasadena, California, U.S.A.).
Antioxidant Activity and In-Silico Study of Anthraquinone Glycosides Extracted from Cassia Fistula Against the Main Protease (7BUY) In SARS-COV2

With the spreading of Covid-19 and seeking for a drug that helps people around the world to cure this disease.In this article, we used a plant(Cassia fistula) which is rich in anthraquinone glycosides to control the causative agent. Anthraquinone was extracted from Cassia fistula pods using alcohol method.Antioxidant activity of the extracted anthraquinone was analysed by using hydrogen peroxide scavenging assay.The best inhibition assay was 70% at100mg/mlconcentration. The docking study introduced atheoretical explanation for an interaction between two types of anthraquinone glycosides (rhein and aloe-emodin) in Cassia fistula against the main protease (7BZ5) in SARS-COV-2 virus, which gave a good binding energy score as -5.36491489 and -5.48040009 for rhein and aloe-emodin, respectively.
Insect Media: An Archaeology of Animals and Technology

Insect Media analyzes how insect forms of social organization—swarms, hives, webs, and distributed intelligence—have been used to structure modern media technologies and the network society. Through close engagement with the pioneering work of insect ethologists, posthumanist philosophers, media theorists, and contemporary filmmakers and artists, Jussi Parikka provides a radical new perspective on the interconnection of biology and technology
Application and research of loop-mediated isothermal amplification and lateral flow dipstick in detection of Porcine circovirus type 3

Background：Porcine circovirus type 3 (PCV3) is a newly detected pathogen from pigs in the past few years. As the infection rate of PCV3 in the herd is getting higher and wider, the infection is more and more serious. The virus with unclear clinical symptoms and pathogenesis is also paid more and more attention. And detection of pathogenic antibodies has become an important issue. Methods:In this experiment, Loop-mediated isothermal amplification (LAMP) was combined with Lateral flow dipstick (LFD) to establish a rapid and convenient detection method (LAMP-LFD). Results:The results showed that the band was darkened at a nucleic acid concentration of 0.2 pg/ μL using a conventional PCR method, and a clear detection line was observed at a nucleic acid concentration of 0.2 fg/μL using the LAMP-LFD method. The primer and hybridization probe are only compatible with PCV3.Compared to the PCR method, the LAMP-LFD method has a shorter time (about 1 h) and requires less instrumentation. Conclusions: The test results show that the LAMP-LFD method has extremely high sensitivity and specificity. The operation is simple and quick. The visual effect of the detection results is better than that of PCR and single LAMP test, which can bring convenience in practical production applications.
Safety culture : a multilevel assessment tool for the construction industry

Traditional approaches to safety improvement often target specific audiences or single organisational levels, yet studies have long recognised the benefits of addressing interventions at multiple levels simultaneously (e.g. Hofmann & Stetzer, 1996). However, there is little empirical research that has actually investigated organisational (or in the current study worksite or project) level effects (Hofmann & Tetrick, 2003) and even fewer that have included these in considering multiple levels for improving individual's health and safety (Zohar & Luria, 2005). Furthermore, "safety culture" a concept increasingly being held liable for many workplace incidents and injuries, is derived by interactions across multiple levels of the organisational social system (Kozlowski & Klein, 2000). Accordingly, safety culture remains ill defined, and associated empirical safety research exploring antecedents of safety performance remains an underdeveloped area in the management literature (e.g. Cooper, 2000). Extending a model proposed by Neal and Griffin (2004), and using a sample of one of Australia's largest construction contracting organisations, the current research provides some insight into aspects of safety culture and its effects on individual's engagement in unsafe work practices. Development of the research model, its assessment and the findings from this study hold important implications for the construction industry at a time when lag indicators for reporting OH&S effectiveness are increasingly viewed as restrictive in providing feedback on proactive risk management strategies. Therefore it is the purpose of this paper to investigate the construct of safety culture in the construction industry, by identifying predictors of individual's safety behaviour across multiple levels and considering these in light of actual safety performance. This paper addresses contemporary research and assessment to enable the identification of culturally specific lead indicators for construction organisations to better manage key workplace characteristics demonstrated to be influential on individual’s engagement with safe work practices.
Point cloud registration algorithm based on curvature and direction vector threshold

With the rapid development of computer vision, archaeology, medicine, reverse engineering and other fields, optical 3D measurement, as one of its crucial technologies, has been utilized more and more widely. In actual measurement, due to the limitation of the measurement range of the measuring equipment and the occlusion of the measured object, it is difficult to obtain the complete shape of the object through single measurement, thus requires multiple measurement from different perspectives and registration of the point cloud data obtained from each perspective together. To realize the registration and stitching of two point clouds with relative low overlap rate, this paper proposes a method based on curvature features and direction vector threshold. In the registration step, the curvature feature of the point cloud data is utilized to achieve accurate matching, and the Kdtree nearest neighbor search method is used to improve the matching points searching speed. In order to further reduce the registration error, the wrong point pairs are eliminated with the direction vector threshold method. The OpenMP multi-threaded parallel calculation method is used in the process of calculating the direction vector to improve the efficiency and speed. Subsequently, the rotation matrix R and the translation vector t between two point clouds are obtained by singular value decomposition method. Finally, the obtained transformation matrix is used to realize the rigid body transformation between the point clouds. Experimental results show that the proposed algorithm can effectively improves the registration accuracy and time efficiency of point cloud data with low initial overlap rate.
Thin Film Lamb Wave Resonant Topologies for Frequency Controland Sensing Applications

Here we present three different thin-film Lamb waveresonant topologies employing reflection, zero-group velocity andintermode coupling respectively in view of energy confinement ofLamb waves propagating in c-textured thin aluminum nitridemembrane. The lowest order symmetric (S0) Lamb wavetopologies with both Bragg and edge reflection have beenextensively studied during the last decade. The other two types ofresonant topologies have been recently introduced for the firsttime and their potential is yet to be realized. The Zero-Group-Velocity Lamb wave resonator employs the native zero-groupvelocitycondition of the first order symmetric (S1) Lamb wave,eliminating thus the need of reflectors of any type. Theintermode-coupled Lamb wave resonator, on the other hand,employs refraction instead of reflection in order to couple thelaterally propagating S0 Lamb wave to the fundamentalthickness shear resonance of the plate (i.e the first orderasymmetric Lamb wave (A1) at cut-off).
AN APPROACH FOR MULTISPECTRAL IMAGE COMPRESSION

— Compression plays a key role in reducing transmission and storage requirements. Compression of Multispectral data is important as it demands lots of memory space for storage. In the present work, the paper proposes the use of two transform coding techniques such as Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) for compressing the multispectral data. The two transform coding techniques are applied for multispectral input data and are compared with respect to Compression Ratio (CR) and Peak Signal to Noise Ratio (PSNR). Both the techniques are implemented individually on various bands of multispectral image.
Development of four in-process surface recognition systems to predict surface roughness in end milling

Surface roughness is one of the important factors in tribology and in evaluating the quality of machining operations. To realize full automation and achieve zero defect production, an effective technique is needed for on-line, real-time monitoring of surface roughness during machining. An in-process surface recognition system (ISRS), was developed for predicting real-time surface roughness, Ra, in end-milling operations. The parameters are spindle speed, feed rate, depth of cut, and the cutting, vibration between tool and workpiece. The cutting vibration is measured by an accelerometer and a proximity sensor. The analyses of the data and the ISRS building model are carried out using multiple regression analysis and the neural fuzzy system. In the statistical model, surface roughness is predicted by a multiple regression equation. For the fuzzy models, the fuzzy rules base is built by a one pass operation making use of successful training data. Surface roughness is predicted by a fuzzifier, a fuzzy inference engine, a fuzzy rules base, and a defuzzifier. Experimental results show that in the statistical model, feed rate is the most significant independent variable to predict the surface roughness, Ra. Vibration data contributes to increase R Square and improve prediction ability with a 91% accuracy rate. In the neural fuzzy model, the fuzzy rules base can be generated automatically within 4 seconds by the training data, and Ra can be predicted with a 96% accuracy rate. Based on the multiple regression equation or fuzzy rules base, the ISRS can predict surface roughness within 0.5 second during end-milling. Therefore, ISRS has potential for use in real-time operations.
Open source software development process for the development of open source e-learning systems

Over the last decade, numerous educational institutions and corporate world have employed various kinds of e-learning software solutions. One of the major components of end-to-end e-learning solution is the learning management system (LMS). These LMS are either developed as open source software (OSS) or close source software (CSS) product. In this regard, CSS for e-learning systems has a major drawback of being expensive and this hinders its widespread use. On the other hand, OSS is virtually free and not restricted by the licensing costs. The benefits of OSS can be completely realized only if there is an effective contribution from OSS community towards its development. It is clear from the literature that the OSS development community does not follow an explicitly defined and documented software development process. This in turn results in lack of detailed information in the literature about the problems arising due to the absence of a defined process. Nevertheless, some of the major issues with regard to OSS development for LMS that have been identified include software design issues, week user Interface, lack of complete and accessible documentation, lack of co-ordination between unknown developers, etc. This research develops a generalized OSSD process that could be used for the development of an open source (OS) e-learning system. To begin, in order to understand the current development practises of the existing OS e-learning systems, a detailed analysis was carried out for three different and popular OS e-learning systems (Moodle, ILIAS and Dokeos). The result of this analysis was represented as an Activity Flow Diagram which enabled precise identification of the implicit software development stages. In the next stage, in order to identify the output produced for each and every stage of development, a DEMO methodology was applied and DEMO models were built for three e-learning systems (Moodle, ILIAS and Dokeos). This is a particularly novel contribution that helps enable the development of the generalized OSSD process. In order to select the different stages of development for the proposed process, the output resulting from each stage of the DEMO model was compared with the outputs prescribed by the ISO/IEC 12207:2008 standard. Further, in order to validate the proposed process, an expert review method was employed by preparing a web-based questionnaire and circulating it along with the proposed process to three different and geographically separated OS experts. The proposed process was subsequently refined based on the feedback received from these experts. It is anticipated that the proposed OSSD process had the potential to streamline the future development of OS e-learning systems.
The upsurge of trade protectionism in sub-Saharan Africa since the 2008 crisis: Is the twin deficit guilty?

Despite the growing literature on the political economy of trade protectionism, little is known about the effect of twin deficit on trade restrictions in general around the world and particularly in sub-Saharan Africa (SSA). The aim of this study is to fill this gap by assessing how twin deficit affects trade restrictions in SSA. We used a panel of 16 countries which recorded simultaneously and successively the current account deficit and the budget deficit during the period 2008–2018. The empirical evidence is based on the system Generalized Method of Moment (GMM). Our results show that the twin deficit is responsible for the upsurge of trade protectionism in sub-Saharan Africa.
Ship traffic modeling and performance evaluation in container port

This paper gives ship traffic modeling and performance evaluation in container port. The basic approach used analytical and simulation mod-els. These models are developed for impact analysis of the ship traffic and patterns of arrival ships at terminal performance. Results from both models are compared with each other. Both the simulation and analytical models were applied to evaluate the efficiency of PECT.
The Simulation of Resonant Mode and Effective Electromechanical Coupling Coefficient of Lithium Niobate Crystal with Different Orientations

At present, the proportion and role of thin film bulk acoustic wave (FBAR) filters in mobile communication products are becoming more and more obvious due to its higher work frequency and smaller size. As a commonly used piezoelectric material, aluminum nitride (AlN) limits the bandwidth of the FBAR filter because of its small electromechanical coupling coefficient (kt 2) of ~6.5%. On contrast, lithium niobate (LiNbO3, LN) crystals with some certain specific orientations have much better acoustic properties, making this type of material the promising candidate for FBAR applications. In this work, the acoustic resonant mode in LN crystal is analyzed by FEM simulations. In order to obtain the optimal orientations with good longitudinal wave property, Euler angle (EA) method is used to simulate the resonant modes and calculate the corresponding kt 2 of different orientations. Besides, the correctness of EA method has been demonstrated in this work by comparing the displacement change under electrostatic field with the traditional matrix transformation operation depending on the piezoelectric effect. The simulations show that the 43°Y-cut LiNbO3 has a high kt 2 and a pure longitudinal wave vibration mode simultaneously, making this orientation the most proper candidate for FBAR filters application with large bandwidth.
Effects of the choice of departure time on road traffic congestion. Theoretical approach

In this paper, an attempt is made to show the results of taking into account the way road users decide on their time of departure. Simple assumptions are made concerning the behaviour of road users. The author considers the situation where the road user advances or delays his departure with a view to reducing journey time. Two cases are considered: the road user takes a decision with respect to a desired departure time (work to home trip) or a desired arrival time (home to work trip). This approach is employed in considering the way in which a queue of vehicles can build up behind what is assumed to be a unique bottleneck in congested traffic conditions. A simple mathematical model for the build-up of the queue of vehicles is found to apply to both work to home trip and home to work trip, and the results given by theoretical analysis are compared with those obtained in real traffic conditions. Finally the implications of the analysis are considered with respect to particular factors such as the benefits resulting from an increase in road capacity, the staggering of working hours and control of motorway access. For the covering abstract of the symposium see TRIS 452544. (TRRL)
Micro Size Ultrasonic Transducer for Marine Applications

We address the advancement and development of MEMS ultrasonic transducer for underwater applications. The development of MEMS transducer is investigated and proved that it is a viable concept. The flexibility in tailoring their frequency and acoustic impedance increases the potential of their application in various fields. Compared to conventional, MEMS offer the advantage of superior performance as far as bandwidth is concerned. In spite of their lower coupling coefficient, there is a potential for significant improvement. We present the latest design of the piezoelectric, pressure and capacitive transducers. The material employed, method utilized in development, performance and capacity of each transducer is presented. Finally, the importance and needs for modeling and simulation is discussed. Currently we design and modeling a micro size transducer in Intellisuite software.
Warpage detection during baking of semiconductor substrate in microlithography

Wafer warpage is common in microelectronics processing. Warped wafers can affect driven performance, reliability and linewidth control in various processing steps. We proposed in this paper an in-situ fault detection technique for wafer warpage in microlithography. Early detection can minimize cost and processing time. Based on first principle thermal modeling, we are able to detect warpage fault from available temperature measurements. Experimental results demonstrate the feasibility of the approach. The proposed approach is applicable to other semiconductor substrates.