Miracle-dz/UniFAR-FTUs huggingface dataset:
Transmission efficiency analysis and optimization of magnetically coupled resonant wireless power transfer system with misalignments

Magnetically coupled resonant (MCR) wireless power transfer (WPT) is a promising technology, which has been widely used in many practical applications. In the practical application environment the misalignments between the transmitting coil and the receiving coil can not be avoided, and it will cause a rapid decline in transmission efficiency. So the misalignments have limited the applications of MCR-WPT technology in many fields. The mathematical formula of transmission efficiency with angular misalignment and lateral misalignment was deduced. And the effects of angular misalignment and lateral misalignment on the transmission efficiency were researched by simulation experiments. And the changing regularity of the transmission efficiency with the change of the angular misalignment and lateral misalignment was obtained. The results show that when there is an angular misalignment between the transmitting coil and the receiving coil, the transmission efficiency can be optimized by adjusting the lateral misalignment between the coils. And when there is a lateral misalignment between the coils, the transmission efficiency can be optimized by adjusting the angular misalignment between the coils. An experimental prototype of MCR-WPT system was built, and experiments had been carried out to evaluate the accuracy of the theoretical analysis. Therefore, the study in this paper lay a theoretical foundation for the analysis of WPT in the complex environment, and also provide a useful reference for the design of WPT system.Magnetically coupled resonant (MCR) wireless power transfer (WPT) is a promising technology, which has been widely used in many practical applications. In the practical application environment the misalignments between the transmitting coil and the receiving coil can not be avoided, and it will cause a rapid decline in transmission efficiency. So the misalignments have limited the applications of MCR-WPT technology in many fields. The mathematical formula of transmission efficiency with angular misalignment and lateral misalignment was deduced. And the effects of angular misalignment and lateral misalignment on the transmission efficiency were researched by simulation experiments. And the changing regularity of the transmission efficiency with the change of the angular misalignment and lateral misalignment was obtained. The results show that when there is an angular misalignment between the transmitting coil and the receiving coil, the transmission efficiency can be optimized by adjusting the lateral misa.
A Very Rare Case of De Novo Histoid Leprosy with Type 1 Reaction

: Histoid Leprosy (HL) is a distinct and rare type of leprosy with unique clinical manifestations and specific histopathology of multibacillary leprosy (MB). Histoid leprosy generally occurs in lepromatous leprosy patients (LL) or borderline lepromatous (BL). Often it occurs after inadequate dapsone treatment despite sometimes arise de novo as well. Histoid forms can ensue accompanied by reactions of erythema nodosum leprosum (ENL) and rarely reversal reactions. Diagnosis of HL based on clinical manifestations, bacteriological examination, and histopathological examination. Clinical manifestations are typical such as coppery nodules, well-defined, might be soft or hard, shiny, with varying sizes. Histopathological findings showed a longitudinal or spindle histiocyte containing M. leprae . We report a rare case of histoid leprosy accompanied by reversal reactions. A 59-year-old Chinese woman, from West Borneo, complained of a painless nodule on the face and body since two months ago with swollen face and rashes. Patients never had leprosy treatment before Histopathological shows some spindle cells. Patients are diagnosed with histoid leprosy and reversal reactions. Diagnosis of histoid leprosy is made by history, physical examination, and histopathology. Patients fall into the de novo category due to having never been treated with dapsone before. The therapy given to patients is multibacillary multi drugs therapy (MDT-MB) and corticosteroids. The patient showed improvement in lesions after six months of MDT-MB and corticosteroids for three months. Histoid leprosy is able to occur de novo and accompanied by reversal reactions. Early diagnosis and complete treatment are crucial to achieve the goal of elimination of leprosy. buttocks. Bacteriological examination results show an increase of solid bacilli due to the multiplication of M. leprae experiencing resistance, which causes
Light amplification and photo-isomerization characteristics of laser dyes and azo molecules incorporated into DNA-complex systems

With an aim to fabricate wavelength tunable thin laser films, monolithic DNA complex layers including azo and laser dyes were prepared. Azo dyes, DO3 and DR1, were incorporated into the complex layer as guests dispersed in the host. A laser dye, Rhodamine 6G was added to the DO3 doped film by immersion method, demonstrating amplified spontaneous emission (ASE) from the single layered film under the excitation at 532nm. Threshold energy density was determined to be 2mJ/cm2 which was the twice of the counterpart without DO3. It was also found that photo-response of the azos in DNA complex was very weak via experiments of photoinduced birefringence and photoinduced transparency. Instead, a blend of the complex and a PMMA based copolymer with DR1 side chain showed strong photo-isomerization response, which will be applicable to dye doping for laser action.
NATIONALISM, CRITICAL PEDAGOGY, AND SOCIAL ETHICS: PERSPECTIVES OF VOCATIONAL EDUCATION TEACHERS IN INDONESIA

The objective of this article is to analyze the basic understanding of Vocational High School teachers about the essence of nationalism and critical pedagogy. The research questions are 1) what is the significance of nationalism for Vocational High School teachers? And 2) how do teachers understand critical pedagogy? This research is of qualitative project executed under phenomenological framework. This research involved 40 Vocational High School teachers from various regions in Central Java. The main results of this research are: 1) nationalism is the students’ social capital in dealing with the working world, especially in resisting the idea and practice of industrial capitalism; 2) critical education functions to raise students' critical awareness in order to be open and analytical towards phenomena in the working world, such as the practice of capitalism which is detrimental and threatening public welfare; 3) the vocational education of Indonesia faces a major task of reducing capitalism in the practice of industrialization in society. Therefore, an understanding of nationalism and criticism must always be encouraged at all times. It is recommended that the Vocational High School curriculum to strengthen the content of nationalism through the addition of citizenship and history subjects, while critical pedagogy can become a vocational learning approach to build students' critical awareness.
Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning

In view of the difficulty of using raw 3D point clouds for component detection in the railway field, this paper designs a point cloud segmentation model based on deep learning together with a point cloud preprocessing mechanism. First, a special preprocessing algorithm is designed to resolve the problems of noise points, acquisition errors, and large data volume in the actual point cloud model of the bolt. The algorithm uses the point cloud adaptive weighted guided filtering for noise smoothing according to the noise characteristics. Then retaining the key points of the point cloud, this algorithm uses the octree to partition the point cloud and carries out iterative farthest point sampling in each partition for obtaining the standard point cloud model. The standard point cloud model is then subjected to hierarchical multi-scale feature extraction to obtain global features, which are combined with local features through a self-attention mechanism, while linear interpolation is used to further expand the perceptual field of local features of the model as a basis for segmentation, and finally the segmentation is completed. Experiments show that the proposed algorithm could deal with the scattered bolt point cloud well, realize the segmentation of train bolt and background, and could achieve high segmentation accuracy, which has important practical significance for train safety detection.
Light on the Horizon: Current Research and Future Perspectives in Flow Photochemistry

Synthetic organic photochemistry is a powerful tool for creating both natural products and molecules with high structural complexity in a simple way and under mild conditions. However, because of the challenges in scaling-up, it has been difficult to apply a photochemical reaction in an industrial process. Flow chemistry provides an opportunity for better control over the conditions of the reaction and, additionally, improved reaction selectivity and enhanced reproducibility. Taking into account that significant interest has focused on the use of flow photochemistry as a method for the synthesis of heterocycles and its applications in target-oriented synthesis over the past few years, the aim of this review is to highlight recent efforts to apply flow photochemistry methodology to diverse reactions as a greener and more scalable process for the pharmaceutical and fine chemical industries. Additionally, the review highlights future perspectives in the development of scale-up strategies, combining photochem.
Presence and Biomass Information Extraction from Highly Uncertain Data of an Experimental Low-Range Insect Radar Setup

Systematic, practicable, and global solutions are required for insect monitoring to address species decline and pest management concerns. Compact frequency-modulated continuous-wave (FMCW) radar can facilitate these processes. In this work, we evaluate a 60 GHz low-range FMCW radar device for its applicability to insect monitoring. Initial tests showed that radar parameters should be carefully selected. We defined optimal radar configuration during the first experiment and developed a methodology for individual target observation. In the second experiment, we tried various individual-insect targets, including small ones. The third experiment was devoted to mass-insect-target detection. All experiments were intentionally conducted in very uncertain conditions to make them closer to a real field situation. A novel parameter, the Sum of Sequential Absolute Magnitude Differences (SSAMD), has been proposed for uncertainty reduction and noisy data processing. SSAMD enables insect target presence detection and biomass estimation. We have defined ranges of SSAMD for distinguishing noise, insects, and other larger targets (e.g., bats, birds, or other larger objects). We have provided evidence of the high correlation between insect numbers and the average of SSAMD values proving the biomass estimation possibility. This work confirms that such radar devices can be used for insect monitoring. We plan to use the evaluated system assembled with a light trap for real fieldwork in the future.
Cu(II)-Doped Cs2SbAgCl6 Double Perovskite: A Lead-Free, Low-Bandgap Material

Lead-free halide double perovskites with a generic formula of A2B′(III)B″(I)X6 (A and B are cations and X is a halide anion) are being explored as a less toxic, higher thermal- and moisture-stable alternative to well-studied lead halide perovskite (APbX3) solar energy absorbers. However, the absorption profiles of most double perovskites reported to date have larger bandgaps (>2 eV) that are poorly aligned with the solar spectrum, reducing their photoconversion efficiency. Here, we present new heterovalent paramagnetic Cu2+-doped Cs2SbAgCl6 double perovskites that exhibit dramatic shifts in their bandgaps from ∼2.6 eV (Cs2SbAgCl6, parent) to ∼1 eV (Cu2+-doped Cs2SbAgCl6). Powder X-ray diffraction patterns of the Cu2+-doped polycrystalline materials indicate long-range crystallinity with nonuniform microstrain in the crystal lattice. To decode the dopant, complementary magnetic resonance spectroscopy techniques, solid-state nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR), are use.
Assembly and optical properties of SiO2 three-dimensional ordered porous materials

ABSTRACT By constantly trying to change the amount of sodium dodecyl benzene sulfonate (SDBS), monodispersed P(St-MMA-AA) colloids with diameters about 211 nm and 221 nm was synthesized successfully using emulsion polymerization. The colloidal crystal template was prepared by co-assembly of P(St-MMA-AA) microspheres and SiO2 sol. Finally, the P(St-MMA-AA) microspheres were calcined by the calcination method to prepare the macroporous ordered inverse opal structure materials.
Service recovery strategies for crowdsourced transportation: an examination of their impacts on user loyalty

ABSTRACT Crowdsourced transportation (CT), which can be applied to passenger transportation and deliveries, is a growing business model, especially in modern societies. The service nature of CT which utilises public participation to provide transportation services makes it prone to service failures, which can cause users’ switching behaviour. Grounded on perceived justice and perceived value theories, the objectives of this study are to identify the service recovery strategies and to examine their impact on user loyalty (i.e. switching behaviour) after a service failure. In total, 549 survey responses were collected from CT users and analysed using structural equation modelling. Results show that five service recovery strategies can be employed by CT service platforms after a service failure, namely, ‘compensation’, ‘apology’, ‘problem solving’, ‘response speed’ and ‘explanation’. These strategies influence users’ perceived justice, which in turn influence user loyalty directly and indirectly via perceived value. The findings of this study have contributed to the development of a unified framework for service recovery in the context of CT and have several strategic management implications for CT service platforms to retain users.
Evaluation of Erosion Discharge Characteristics in Inclined Plane Tracking and Erosion Tests on Silicone Rubber under AC and DC Voltages

This paper investigates partial discharge (PD) characteristics that lead to the erosion of silicone rubber (SR) polymer under AC stress and DC stress of both polarities. The experiments are performed on high temperature vulcanized (HTV) SR material samples. The inclined plane test apparatus, constructed in accordance with IEC 60587 requirements, is employed to produce the surface partial discharges and the resulting accelerated aging of the specimens. Two commercial instruments are used to obtain the PD data. A concurrent analysis of visual observations of discharge and PD data is performed to classify discharges based on the severity of material degradation that each type causes. Three types of PD are identified and characterized using diagrams of charge magnitude versus time and a signal processing technique called time-frequency mapping. Individual pulse waveshapes of each type of discharge are also analyzed. PD pulse waveforms are analyzed according to their amplitude, energy, pulse width, and frequency spectrum. These pulse waveform parameters are evaluated and compared for the eroding discharge pulses under AC and DC voltage stresses. It is found that the stages of material degradation during IPT are related to the variations in discharge magnitude and the location of pulse clusters on the time-frequency maps.
E3: Keyphrase based News Event Exploration Engine

This paper presents a novel system E3 for extracting keyphrases from news content for the purpose of offering the news audience a broad overview of news events, with especially high content volume. Given an input query, E3 extracts keyphrases and enrich them by tagging, ranking and finding role for frequently associated keyphrases. Also, E3 finds the novelty and activeness of keyphrases using news publication date, to identify the most interesting and informative keyphrases.
Determining how chromatin structure is restored after repair of UV damage in Saccharomyces cerevisiae

Eukaryotic genomic DNA is packaged into chromatin and all aspects of DNA metabolism require chromatin modification to facilitate these processes, including DNA repair. In response to ultra violet (UV) irradiation of cells, the chromatin undergoes structural changes allowing specific factors to gain access to the DNA damage sites to enable the repair of the DNA lesions efficiently. Following repair, these events must be reversed to restore chromatin to its normal undamaged state. The UV light-induced increase in histone H3 acetylation and the subsequent chromatin alteration that is associated with it is important for efficient DNA repair by the nucleotide excision repair (NER) pathway. In wild type cells, the elevated levels of damage-induced histone H3 acetylation is restored to the pre-damage levels following repair of the damage. However, in the absence of effective repair, histone H3 acetylation levels remain constitutively high, and subsequently the chromatin structure stays in an open configuration and does not get restored to its normal undamaged state. In this study, I undertook experiments to determine the mechanism by which the structure of chromatin is restored after the repair of DNA damage in yeast cells exposed to UV-induced DNA damage. The Rad7/Rad16 containing global genome nucleotide excision repair (GG-NER) complex controls the occupancy of the histone acetyl transferase (HAT) Gcn5 on chromatin, which mediates the level of histone H3 acetylation. Moreover, the activity of histone deacetylaces (HDACs) and HATs are present in an equilibrium status, and any changes in one of them means that the balance of histone acetylation in the cell changes. Here, Chromatin Immunoprecipitation (ChIP) and ChIP-on-chip methods were adapted to study how the above factors bind to chromatin, both before and following UV irradiation in wild-type and specific DNA repair defective cells. My results show that the Rad7/Rad16-containing GG-NER complex, and Gcn5, remain bound to the chromatin in UV irradiated NER defective cells, and as a result, this keeps histone H3 acetylation status continuously high. My results also showed that, immediately following UV irradiation when histone H3 acetylation levels are increased, the histone deacetylases (Rpd3 and Hda1) levels decrease. Importantly, in wild type cells, where repair has taken place, restoration of histone H3 acetylation levels and HDAC occupancy to pre-damaged levels was observed. I showed that these changes are dependent upon active DNA repair. In conclusion, my results provide evidence that the GG-NER complex and HDACs are contributing to the regulation of UV-induced histone H3 acetylation levels in order to v control the chromatin structure following DNA damage. This suggests that these factors have a role in the access and restore phases of the ARR model.
An introduction to statistical learning with applications in R

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an
Preliminary result of randomized trial of an oral thrombolytic agent for deep venous thrombosis, cardiac emboli and carotid atheromatous plaques in patients with infarctive stroke: a report of three (3) cases

Thrombo-embolic conditions, particularly deep venous thrombosis, intramural cardiac thrombi and carotid atheromatous plaques require immediate medical attention because of their propensity to produce fatal pulmonary, cardiac and cerebrovascular outcomes. Treatment of these conditions are varied and sometimes complicated. In this paper, we report successful treatment of each of these three conditions using oral NattoEnzym supplement tablets, with the aim to great awareness of the effectiveness of NattoEnzym in thrombo-embolic conditions.
Land degradation in South Africa: Justice and climate change in tension

1. Land degradation is a global problem impacting biodiversity and livelihoods, with profound effects on resource- based livelihoods. As such, it impedes progress towards sustainable development goals (SDGs) and overcoming climate- related poverty. Interrelated biophysical and social factors are driving further land degradation, and, internationally, there is a range of policies and initiatives designed to address these. 2. In this paper, we argue that analysis of land degradation must encompass three key dimensions: firstly, that the causes are both physical and social; secondly, that they are shaped by historically unjust land tenure and resource allocations; and thirdly, that outcomes are the result of entwined processes at the global, national and local levels. To do this, we modify an analytical framework derived from structuration theory and populate it with illustrative material from the case of rangeland
Mastering Prepositions in English: Explicit versus Implicit Instruction

Prepositions form a hurdle for several EFL learners, Arabs in particular. One major catalyst is that the preposition systems in English and Arabic rarely correspond to one another. Most scholars who researched this area concentrated on the problem itself, rather than finding a successful remedy that can empower these students to masterfully handle such a thorny area. This study is novel inasmuch as it concerns itself with finding means of facilitating this language area for Arab learners. It reveals the effectiveness of using translation to teach English prepositions to these learners. The research question of this study is: do students who have received explicit tuition and adequate practice on the use of English prepositions in translated texts naturally perform better using such grammatical items in subsequently translated texts than those who have not been instructed on such exemplars in similar language contexts? Sixty students at the Gulf University for Science and Technology in Kuwait participated in the field experiment. The study paradigm had a pre-test/post-test protocol. While the pre-test included four fill-in-the-gap exercises, the post-test contained three Arabic passages which participants were required to translate into English. The findings showed that teaching prepositions explicitly in translated texts is a viable technique for EFL learners’ mastery of such grammatical items. This has implications for EFL specialists and syllabus designers.