Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of Biaxially-textured Long Template Tapes for YBa2Cu3O7-.DELTA. Superconducting Wires Using the IBAD Method

Recently, much more attention is being paid to YBa2Cu3O7-δ (YBCO) coated conductors (CCs) as a next generation superconducting wire because of high transport current performance, even in magnetic fields. Especially, YBCO CCs based on templates obtained by ion beam-assisted deposition have exhibited excellent results. For electric power applications, however, high performance must be realized at a large scale (i.e., of more than hundreds of meters). In this article, the fabrication of IBAD templates of more than one-hundred meters for YBCO CCs is reported.
On financial markets based on telegraph processes

The paper develops a new class of financial market models. These models are based on generalised telegraph processes: Markov random flows with alternating velocities and jumps occurring when the velocities are switching. While such markets may admit an arbitrage opportunity, the model under consideration is arbitrage-free and complete if directions of jumps in stock prices are in a certain correspondence with their velocity and interest rate behaviour. An analog of the Black–Scholes fundamental differential equation is derived, but, in contrast with the Black–Scholes model, this equation is hyperbolic. Explicit formulas for prices of European options are obtained using perfect and quantile hedging.
GIANT MAGNETIC FIELD DEPENDENT IMPEDANCE OF AMORPHOUS FECOSIB WIRE

The impedance of an amorphous Fe4.3Co68. 2Si12.5B15 wire (100 μm diameter) exhibits an extraordinarily large frequency dependent resistance in addition to the previously reported frequency dependent wire reactance. The frequency response of both the resistance and reactance is almost entirely suppressed by an axial magnetic field HA<150 Oe, resulting in a typical magnetoresistance for frequencies f<1 MHz of the order of the dc wire resistance. The magnetoresistance at f=1 MHz is ΔR/Rsat=370%. As the bulk of the magnetic response occurs for HA<5 Oe, this system shows great technological promise. We give a quantitative analysis of the phenomenon, which is rooted in classical electrodynamics.
Computational Analysis on Antioxidant Activity of Four Characteristic Structural Units from Persimmon Tannin

Antioxidants are molecules that can prevent the harmful effects of oxygen, help capture and neutralize free radicals, and thus eliminate the damage of free radicals to the human body. Persimmon tannin (PT) has excellent antioxidant activity, which is closely related to its molecular structure. We report here a comparative study of four characteristic structural units from PT (epicatechin gallate (ECG), epigallocatechin gallate (EGCG), A−type linked ECG dimer (A−ECG dimer), A−type linked EGCG dimer (A−EGCG dimer)) to explore the structure–activity relationship by using the density functional theory. Based on the antioxidation mechanism of hydrogen atom transfer, the most favorable active site for each molecule exerts antioxidant activity is determined. The structural parameters, molecular electrostatic potential, and frontier molecular orbital indicate that the key active sites are located on the phenolic hydroxyl group of the B ring for ECG and EGCG monomers, and the key active sites of the two dimers are located on the phenolic hydroxyl groups of the A and D’ rings. The natural bond orbital and bond dissociation energy of the phenolic hydroxyl hydrogen atom show that the C11−OH in the ECG monomer and the C12−OH in the EGCG monomer are the most preferential sites, respectively. The most active site of the two A−linked dimers is likely located on the D’ ring C20′ phenolic hydroxyl group. Based on computational analysis of quantum chemical parameters, the A−ECG dimer is a more potent antioxidant than the A−EGCG dimer, ECG, and EGCG. This computational analysis provides the structure–activity relationship of the four characteristic units which will contribute to the development of the application of PT antioxidants in the future.
Imaging and spectrophotometry of Virgo cluster irregular galaxies

Large-aperture spectrophotometric observations and CCD images in the H-alpha and R bands have been obtained for Virgo cluster Magellanic, dwarf, and amorphous irregular galaxies. Although a small number of Virgo cluster irregulars have optical and H I properties consistent with recent gas loss, the rate of production of gas-poor irregulars is too low to account for the large population of Virgo cluster dE galaxies or to explain the deficiency in the number of irregulars relative to spirals. Radial brightness profiles reveal that only NGC 4641 follows the r exp 1/4 law of classical ellipticals, that four of the galaxies have exponential brightness distributions, and that one system has an indeterminant profile form. It is shown that the properties of Virgo cluster irregular galaxies can be best understood in terms of environmental modifications of normal systems in the circumcluster environment and in the cluster core. 78 refs.
Secondary IgG Responses to Type III Pueumococcal Polysaccharide

Mice primed with a thymus- (T) dependent form of Type III pneumococcal polysaccharide (S3), i.e., S3 coupled to erythrocytes (S3-RBC) produce S3-specific IgG antibody after secondary challenge with either S3 or S3-RBC. The production of IgG antibody by mice challenged with S3 was shown to be T independent since secondary responses were enhanced when mice were treated with anti-lymphocyte serum (ALS) at the time of secondary challenge with S3 and T-depleted spleen cells responded as well as unfractionated spleen cells to S3 in an adoptive transfer system. Secondary S3-specific IgG responses in mice challenged with S3-RBC were shown to be T dependent by the same criteria. The results obtained by using S3 as the antigen indicate that IgG-producing B cells (B γ cells) can recognize and respond to antigen in the absence of helper T cells. On the other hand, T cells were required for the induction of S3-specific memory B γ cells since mice depleted of T cells by treatment with ALS at the time of priming with S3-RBC failed to produce S3-specific IgG antibody after secondary challenge with either S3 or S3-RBC. Since RBC-specific memory cells were induced in T-deprived mice the results suggest that T cell regulation of IgG antibody production may vary for different antigens.
Managers’ and employees’ experiences of how managers’ wellbeing impacts their leadership behaviours in Swedish small businesses

BACKGROUND: There is a growing interest in managers’ wellbeing due to the observed associations between their wellbeing and leadership behaviours, and between leadership behaviours and employees’ wellbeing. However, it is still unclear how managers’ wellbeing influences their practiced leadership across different workplace contexts, which specific behaviours are affected, and how this varies across time. OBJECTIVE: The purpose of this study was therefore to explore managers’ and employees’ experiences and perceptions regarding the consequences of managers’ wellbeing for their leadership behaviours in small businesses. METHODS: Semi-structured interviews were conducted with 39 participants (20 managers and 19 employees) working at 12 Swedish small firms, and analysed using content analysis. RESULTS: The findings show that managers were more constructive when they felt well, and more passively destructive when unwell. Variations in managers’ wellbeing influenced their mood, energy level, and performance, as well as the company’s working climate. However, these destructive leadership variations did not have a substantial impact, because several protective factors were present. CONCLUSION: This study shows that the wellbeing of managers in small businesses has perceptible consequences for their leadership behaviours. The study also shows that sustained leadership behaviours may coexist with temporary variations of these behaviours on a constructive-destructive continuum depending on the leader’s wellbeing. Overall, the findings contribute to a more nuanced and dynamic understanding of how the interaction between managers’ wellbeing and their behaviours unfolds in the particular context of small companies.
Helly"s theorem with volumes

Keywords: Steinitz lemma ; Helly's theorem Note: Professor Pach's number: [016] Reference DCG-ARTICLE-1984-002doi:10.2307/2322144 Record created on 2008-11-14, modified on 2017-05-12
Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan)

Kemudahan memperoleh informasi saat ini telah banyak membantu manusia, salah satu mencari ulasan untuk tempat makan baru. Pencarian ulasan ini dipicu karena pengunjung tidak mengetahui layanan dari tempat tersebut. Ulasan juga dapat menguntungkan penjual, karena mereka mengetahui pengalaman yang dimiliki pengunjungnya. Oleh karena itu, ulasan palsu dimanfaatkan banyak orang untuk membuat ulasan palsu. Ulasan palsu bisa secara efektif dibedakan menggunakan machine learning. Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. Oleh karena itu, penelitian ini menggunakan metode BOS untuk mengatasi tidak seimbangnya data dan melakukan klasifikasi dengan metode SVM. Adapun tahapan dari penelitian yaitu preprocessing, lalu pembobotan kata dengan TF-IDF dan fitur sentimen menggunakan lexicon-based features, dilanjutkan proses menyeimbangkan dataset dengan BOS, setelah itu proses klasifikasi oleh SVM. Adapun langkah dalam pengujian BOS dan SVM yaitu pembagian data latih dan uji dengan 80%:20%, setelah itu pencarian parameter terbaik pada data latih dengan 5-fold cross validation, dan dievaluasi dengan data uji. Adapun nilai parameter terbaik pada BOS dan SVM yaitu N dengan nilai 400% dimana hasil evaluasi akurasi dengan nilai 78,6%; precision dengan nilai 19,7%; recall dengan nilai 17,1%; f-measure dengan nilai 14,4%; dan g-mean dengan nilai 32%. Oleh karena itu, penggunaan BOS dapat meningkatkan hasil evaluasi dari terhadap klasifikasi ulasan palsu.AbstractThe convenience of obtaining information nowadays has helped many people such as looking for reviews for new places to eat. The search for reviews was triggered because visitors were not aware of the services of the place. Reviews can also benefit sellers, because they know the experience their visitors have had. Therefore, many people abuse reviews to create spam reviews. Spam reviews can be effectively resolved using machine learning. However, many of these spam review datasets are imbalanced and thus may affect classification results. In this study, BOS algorithm was used to overcome data imbalances, and SVM algorithm for the classification of spam reviews. The stages of the research are preprocessing, then weighting words with TF-IDF and sentiment features using lexicon-based features, followed by the process of balancing the dataset with BOS, and classification process with SVM. Step in testing BOS and SVM are split data of training and test data with 80%:20%, after that the search for the best parameters in the training data with 5-fold cross-validation, and evaluated with test data. The best parameter values for BOS and SVM were N with a value of 400% where the results of the accuracy evaluation were 78.6%; precision with a value of 19.7%; recall with a value of 17.1%; f-measure with a value of 14.4%; and g-mean with a value of 32%. Therefore, use of BOS can improve the evaluation results from the classification of spam reviews.
Composition and Functional Effect of Mango (Mangifera indica L.) Almond Flours on Wheat Dough Rheology

Composition and technofunctional properties of the almond flours of 12 mango varieties from savannah zones of Cameroon (Central Africa) are assessed in order to highlight their potential use in breadmaking, through their effect on dough rheology. The compositions of almonds display starch as the major constituent (60–65%) with more than 80% of amylopectin and a significant presence of phenolic compounds (1–7%), lipids (7–13%), and proteins (4–7%), depending on mango varieties, with local varieties showing the highest polyphenol and lipid contents. Almond flours are characterized by high WAC (water absorption capacity) and OAC (oil absorption capacity) and pasting properties influenced by starch lipid and starch protein complexes. In wheat-mango almond composite flours, the pasting properties are mango variety and almond flour treatment (native or delipidated) dependent, with a substitution threshold effect variable from one variety to another. Alveographic profiles of the composite flours result in dough characterized by high tenacity (P) but low swelling index (G) and baking strength (W). These effects are intensified with increasing substitution of wheat. However, up to 10% wheat substitution, the composite flours seem acceptable in breadmaking, with 9 mango varieties hypothetically convenient for the reduction of bread staling.
Physics-Guided Real-Time Full-Field Vibration Response Estimation from Sparse Measurements Using Compressive Sensing

In civil, mechanical, and aerospace structures, full-field measurement has become necessary to estimate the precise location of precise damage and controlling purposes. Conventional full-field sensing requires dense installation of contact-based sensors, which is uneconomical and mostly impractical in a real-life scenario. Recent developments in computer vision-based measurement instruments have the ability to measure full-field responses, but implementation for long-term sensing could be impractical and sometimes uneconomical. To circumvent this issue, in this paper, we propose a technique to accurately estimate the full-field responses of the structural system from a few contact/non-contact sensors randomly placed on the system. We adopt the Compressive Sensing technique in the spatial domain to estimate the full-field spatial vibration profile from the few actual sensors placed on the structure for a particular time instant, and executing this procedure repeatedly for all the temporal instances will result in real-time estimation of full-field response. The basis function in the Compressive Sensing framework is obtained from the closed-form solution of the generalized partial differential equation of the system; hence, partial knowledge of the system/model dynamics is needed, which makes this framework physics-guided. The accuracy of reconstruction in the proposed full-field sensing method demonstrates significant potential in the domain of health monitoring and control of civil, mechanical, and aerospace engineering systems.
Three-component LDA measurements of annulus wall boundary layers upstream of an annular S-shaped duct

Techniques have been developed for making 3D coincident LDA measurements within an annular S-shaped duct of complex geometry. In order to illustrate these methods aerodynamic data is presented relating to measurements of the axisymmetric wall boundary layers at inlet to the duct. Particular attention is given to the accuracy and limitations of the measurements produced using these techniques. A variety of information is presented including mean velocity components. Reynolds stresses and triple correlations of the fluctuating velocities. The results show that many of the terms in the Reynolds stress transport equations can be determined within a specified accuracy. Such measurements are becoming increasingly important for the validation of computational codes and the further development of turbulence models.
Brillouin Scattering of Vitreous Silica Under High Pressure

Ultrasonic absorption in vitreous silica (a-SiO2) exhibits a prominent maximum, the so-called 50 K-peak. It is caused by thermally activated relaxation processes as can be inferred from the position of the maximum which shifts from 30 K at a measuring frequency of 1 kHz to above 100 K at Brillouin frequencies. The microscopic nature of the relaxing ‘particles’ is unknown but they are believed to originate intrinsically from the random network of the glass. Nevertheless, in the framework of phenomenological models, like the tunneling model or the soft potential model, it is possible to describe the experiments very well in the full range of measured frequencies and temperatures. Both models are founded on the assumption that the particles reside in double well potentials and that their dynamics are based on tunneling between the two equilibrium positions at low temperatures, whereas thermal activation over the barriers is dominating at temperatures exceeding a few Kelvin [1,2].
Neutrino pair emission from finite-temperature neutron superfluid and the cooling of young neutron stars

The neutrons inside neutron stars are almost certainly superfluid below a critical temperature T/subc/approx.10/sup 10/ K. Below T/subc/, pairs of excited neutron quasiparticles may recombine, resulting, if weak neutral currents exist, in the emission of neutrino-antineutrino pairs. We calculate the emissivity associated with this process and compare it with other neutrino emissivities. For neutron star interior temperatures in the range 10/sup 9/-10/sup 10/ K the recombination emissivity can dominate all others. (AIP)
Reversible collisionless magnetic reconnection

Reversible magnetic reconnection is demonstrated for the first time by means of gyrokinetic numerical simulations of a collisionless magnetized plasma. Growth of a current-driven instability in a sheared magnetic field is accompanied by magnetic reconnection due to electron inertia effects. Following the instability growth, the collisionless reconnection is accelerated with development of a cross-shaped structure of current density, and then all field lines are reconnected. The fully reconnected state is followed by the secondary reconnection resulting in a weakly turbulent state. A time-reversed simulation starting from the turbulent state manifests that the collisionless reconnection process proceeds inversely leading to the initial state. During the reversed reconnection, the kinetic energy is reconverted into the original magnetic field energy. In order to understand the stability of reversed process, an external perturbation is added to the fully reconnected state, and it is found that the accelerated reconnection is reversible when the deviation of the E × B streamlines due to the perturbation is comparable with or smaller than a current layer width.
A generalized continuum approach to predict local buckling patterns of thin structures

Macroscopic descriptions of instability pattern formation can be predicted by generic amplitude equations of Ginzburg-Landau type. A variant of this approach is presented, that permits to account for the coupling between local and global instabilities. The mean field and the amplitude of the fluctuations are governed by similar equations. The resulting model is a generalized continuum, where the macroscopic stresses are Fourier coefficients of the microscopic stresses. This new double scale description of cellular instabilities is applied to beam on an elastic foundation and to 3D nonlinear elasticity. We shall also discuss the behaviour of these new continuum models after a finite element discretisation.
Comparative Mitogenomic Analysis Indicates Possible Cryptic Species in Lambis lambis (Gastropoda: Strombidae)

ABSTRACT The spider-like strombid Lambis lambis is widely distributed in the Indo-Pacific region and possesses morphological diversity. In the present study, the complete mitochondrial genomes of two morphologically different specimens of L. lambis that were collected in Sanya (SY) and Zhaoshu (ZS) islands of the South China Sea (namely L. lambis-SY and L. lambis-ZS) were sequenced. They were also compared with that of L. lambis previously published and sampled from coastal waters of Quanfu (QF) Island of the South China Sea (namely L. lambis-QF). The newly sequenced mitochondrial genomes L. lambis-SY and L. lambis-ZS contained 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and several noncoding regions, indicating a similar pattern with respect to genome size, gene order, and nucleotide composition compared with that of L. lambis-QF. Although L. lambis-SY and L. lambis-ZS differed in shell morphology, the genetic distance between them was small. On the other hand, considerable genetic distance values were detected between L. lambis-QF and L. lambis-SY/L. lambis-ZS, suggesting that the former might be a possible cryptic species within L. lambis. The divergence of the cryptic lineage L. lambis-QF was dated to 4.6 Mya, falling in the lower Pliocene that corresponded to a paleoclimatic transition from cool to warm conditions. This study, therefore, suggests a correlation between paleoclimate change and speciation event.
Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments

Sampah merupakan salah satu permasalahan global yang dihadapi seluruh dunia termasuk Indonesia. Apabila tidak dikelola dengan baik, jenis dan volume sampah yang semakin meningkat dapat berdampak buruk pada lingkungan dan kesehatan manusia. Pemilahan sampah merupakan langkah awal dalam melakukan berbagai jenis pengolahan sampah. Pemilahan sampah secara manual tidak mudah dilakukan mengingat jumlahnya yang amat besar, sehingga otomatisasi pemilahan sampah diperlukan. Penelitian ini mengusulkan klasifikasi citra sampah menggunakan Support Vector Machine (SVM) dengan ekstraksi fitur Gray Level Co-Occurrence Matrix (GLCM) dan Color Moments serta mengoptimalkan kinerja terbaik dalam proses klasifikasinya. Dataset TrashNet digunakan untuk mengevaluasi metode yang diusulkan. Beberapa parameter penting yang digunakan dalam penelitian ini adalah orientasi sudut GLCM, parameter C (soft margin) pada SVM, dan parameter 𝛾 pada Radial Basis Kernel (RBF). Pembagian data dilakukan menggunakan 10-Fold Cross Validation. Hasil penelitian menunjukkan bahwa kombinasi fitur GLCM dengan orientasi sudut 45° dan Color Moments memberikan rata-rata akurasi terbaik sebesar 78,87% dengan menggunakan parameter C bernilai 32 dan parameter γ bernilai 4. Hasil pengujian terbaik diperoleh pada fold ke-3 dengan akurasi sebesar 85,43% yang digunakan sebagai skenario pengujian data baru. Pengujian terhadap 30 citra sampah baru menggunakan model terbaik memperoleh akurasi sebesar 70%. AbstractWaste is one of the global problems faced by the whole world, including Indonesia. Improper waste management can harm the environment and interfere with health. Waste management involved several steps in handling waste, the first one being waste sorting. In Indonesia, waste sorting is still performed manually. Manual waste sorting is not easy to do because the waste amount is very large. Therefore, automatic waste detection technology is needed to support more optimal waste sorting. This study proposes waste image classification using Support Vector Machine (SVM) with Gray Level Co-Occurrence Matrix (GLCM) and Color Moments as the features. The TrashNet dataset is used to evaluate the proposed method. In addition, 30 additional waste image outside trashnet is used as testing data. Some of the important parameters that are tuned in this study are the angle orientation of the GLCM, C (soft margin) parameter on the SVM, and 𝛾 parameter on the Radial Base Kernel (RBF). Data splitting is done using 10-Fold Cross Validation. The results showed that the combination of GLCM features with 45° angle orientation and Color Moments gave the best average accuracy of 78.87% using C parameter with a value of 32 and γ parameter with a value of 4. The best test results were obtained in the third fold with an accuracy of 85, 43%. This result is used to test the 30 test image outside the TrashNet dataset, and achieve accuracy of 70%.