Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar Powered Multiple Output Buck Converter

Times have certainly changed over the past few decades, now it seems that technology is getting more compact and efficient. The modern outdoor enthusiast such as hikers, climbers has a problem regarding the lack of power supply to power up electronics when they go for adventure activities. In order to solve this problem, this paper design and develop DC/DC buck converter system to drop down the voltage from the solar photovoltaic (PV) system from 12VDC into 5VDC. This paper is first to start up with design and simulation circuit using simulation to test outcome of this paper in the range of 5VDC & 1.0A and 5VDC & 0.5A. A battery storage is needed to feed electricity independent and battery management of the battery is needed to improve the performance of battery life. This can be done by adding a charge controller unit. The outcome of this paper allows the battery to be charged using the solar panel and at the same time can produce multiple outputs for low voltages used. The software simulation has been done to shows this system produces two different output and the hardware will be developed based on the software results. Software and hardware result, both will be compared and analysed.
User Awareness System to Diagnose Dermatological Diseases

Nowadays, humans' health is deteriorating by dermatological diseases, and the spreading rate is high. Most people are not aware of skin diseases. As they do not realize these diseases' seriousness, they try to treat with some remedies by themselves, even without knowing what the actual disease is. Nevertheless, it is not a suitable way to cure the disease, leading to future complications. So still the dermatological diseases remain as one of the main categories of common health issues. A few people prefer to use computerized systems to evaluate the disease conditions these days. Moreover, it is essential to know about the diseases to manage that condition and prevent escalation. Therefore, the proposed system is implemented to give users some knowledge about dermatological diseases as much as possible. The users can get awareness and predict skin diseases and complications from the data mining technique. The user can identify the stage of the dermatological disease by applying the classification algorithm. Furthermore, this system will also scrap web pages related to that disease from known or system verified websites. The content analysis is based on the machine learning process, especially using Neural Language Processing. Hence, the system will undeniably be useful to the users to summarize skin diseases and get concerns from a dermatologist. General Terms Convolutional Neural Networks, TensorFlow, Application Programming Interface,
Robust Geometries for Second-Harmonic-Generation in Microrings Exhibiting a 4-Bar Symmetry

Microring resonators made of materials with a zinc-blend or diamond lattice allow exploiting their 4-bar symmetry to achieve quasi-phase matching condition for second-order optical nonlinearities. However, fabrication tolerances impose severe limits on the quasi-phase matching condition, which in turn degrades the generation efficiency. Here, we present a method to mitigate these limitations. As an example, we studied the geometry and the pump wavelength conditions to induce the second-harmonic generation in silicon-based microrings with a second-order susceptibility χzxy(2)≠0. We found the best compromises between performances and experimental requirements, and we unveil a strategy to minimize the impacts of fabrication defects. The method can be easily transferred to other material systems.
Unsupervised Video Satellite Super-Resolution by Using Only a Single Video

Recent studies have shown that deep-learning (DL)-based methods lead to improved performance in video satellite super-resolution (SR). However, the vast majority of prior work is supervised, which is restricted to artificially generated training data (e.g., predetermined bicubic downsampling). Unfortunately, in the real world, the low-resolution (LR) satellite video frames rarely obey these restrictions. To solve this problem, we resort to unsupervised learning and propose a video satellite SR method by using only a single video. The single video SR (SingleVSR) method takes advantage of the power of DL without relying on prior high-resolution (HR) and LR pairs. In the training phase, the LR frames are alternately processed by both downsampling network (i.e., NetLR) and upsampling network (i.e., NetHR). The losses obtained by LR frames and network outputs are used to optimize both NetLR and NetHR. In the testing phase, the trained NetHR is applied to generate the SR results of LR frames. In contrast to the existing video satellite SR methods, our SingleVSR does not require any assumption on degradation or any additional training data except for the single video to be tested. Experiments performed on Jilin-1 and OVS-1 satellite videos demonstrate the superiority of the proposed method.
Lectura en y a través de las disciplinas: la comprensión de géneros académicos escritos. Una exploración al ámbito desde algunas teorías y modelos de comprensión del discurso escrito

La comprension textual es una de las tareas sociocognitivas mas complejas y una habilidad fundamental en nuestra sociedad actual (Parodi, 2005), en particular, en las comunidades de practica academicas y profesionales (Hyland, 2012), donde la lectura se transforma en una via de acceso, adquisicion, construccion del conocimiento e incorporacion a comunidades especificas (Wineburg, 1998; Yore, Bisanz y Hand, 2003). El objetivo de este articulo es indagar en el proceso de comprension de textos academicos y disciplinares. Para esto se analizan las propuestas y modelos teoricos sobre la comprension del discurso especializado, tales como Kintsch (1998), la Escuela Linguistica de Valparaiso (Parodi, 2005; 2011; 2014; Ibanez, 2007b; 2008; Parodi, Peronard & Ibanez, 2010), McNamara (2004), McNamara & Kintsch (1996), Goldman, Braasch, Wiley, Graesser y Brodowinska (2012). Con ello, se espera contribuir a la conformacion de un estado de la cuestion para entender que significa comprender textos en las disciplinas y dar cuenta de su procesamiento.
Treatment of dissolved metals using permeable reactive barriers

Permeable reactive barriers are a promising new approach to the treatment of dissolved contaminants in aquifers. This technology has progressed rapidly from laboratory studies to full-scale implementation over the past decade. Laboratory treatability studies indicate the potential for treatment of a large number of inorganic contaminants, including As, Cd, Cr, Cu, Hg, Fe, Mn, Mo, Ni, Pb, Se, Tc, U, V, NO 3 , PO 4 , and SO 4 . Small-scale field studies have indicated the potential for treatment of Cd, Cr, Cu, Fe, Ni, Pb, NO 3 , PO 4 , and SO 4 . Permeable reactive barriers have been used in full-scale installations for the treatment of hexavalent chromium, dissolved constituents associated with acid-mine drainage, including SO 4 , Fe, Ni, Co and Zn, and dissolved nutrients, including nitrate and phosphate. A full-scale barrier designed to prevent the release of contaminants associated with inactive mine tailings impoundment was installed at the Nickel Rim mine site in Canada in August 1995. This reactive barrier removes Fe, SO 4 , Ni and other metals. The effluent from the barrier is neutral in pH and contains no acid-generating potential, and dissolved metal concentrations are below regulatory guidelines. A full-scale reactive barrier was installed to treat Cr(VI) and halogenated hydrocarbons at the US Coast Guard site in Elizabeth City, North Carolina, USA in June 1996. This barrier removes Cr(VI) from >8mg l -1 to <0.01mg l -1 .
UK FOREIGN DIRECT INVESTMENT IN THE OECD, CULTURE AND GEOGRAPHY

How does distance affect foreign direct investment? Subject of this research is to determine important factors for the United Kingdom, when undertaking foreign direct investment (FDI). The UK is therefore estimated as the home country of investment, investing in the form of FDI in multiple host countries. More specifically, this research measures determinants of FDI outward stock from the UK to other OECD countries. This research examines how distance affects foreign direct investment and provides twofold contribution. First: Hofstede culture distance effects on foreign direct investment is measured. Second: Geographical kilometer distance effects on foreign direct investment is measured. Methodology used in this research is based on the gravity model, presenting a model setup designed for international trade. Moreover, the research applies foreign direct investment OECD data, together with data on gross domestic product and population. The equation specification combines the economic variables with measures for geographical distances, and the Hofstede Culture measure. First regression equation estimates FDI as a function of GDP, population and Culture Distance. Second regression equation estimates FDI as a function of GDP, population and Geographical Distance. This regression setup provides a clear opportunity to estimate the difference between impact of cultural and geographical distance, represented in the estimation coefficients of the regressions. The British Empire has evolved and through time developed the British culture. Purpose of this current research is to examine how cultural distance and geographical distance impact foreign direct investment, with foreign direct investment often being an indicator of the long-term commitment of foreign investors. Furthermore, with the purpose of finding how foreign direct investment is impacted by several different cultural factors, we analyze various dimensions of the Hofstede culture. These are the power distance (PDI), individualism (IDV), the masculinity/femininity (MAS), and the uncertainty avoidance (UAI). Conclusion is that, all taken together, the research finds foreign direct investment from the UK going to other OECD countries to be more highly affected by geographical distance than cultural distance. Which is interesting considering Brexit. Potentially, this is because the UK is not so culturally different from its main trading partners in the OECD, which is an interesting subject for future research.
Learning About Landslide Disaster Mitigation Based on a Role-Playing Method Assisted by the Disaster Education Pocket Book

The importance of understanding disaster issues affecting Indonesia encourages the integration of disaster mitigation into the education system. For instance, the inclusion of disaster mitigation occurs in the subject of geography. However, the implementation of disaster mitigation learning still faces several obstacles. This aim of this study is to describe the implementation of a role-playing learning method assisted by the disaster education pocket-book and to analyze its effectiveness. This research was conducted at SMAN 11 Semarang. The samples of this study were XI IPS 2 as the experimental class and XI IPS 3 as the control class. The variable of this research was the role-playing learning method assisted by the disaster education pocket-book. The sub-variables include teacher performance, learning outcomes, and students’ responses. The study found that implementation of the experimental class obtained teacher performance scores of 89 percent and control classes obtained teacher performance scores of 86 percent. Both scores were very good. The comparison of cognitive learning outcomes showed that disaster mitigation learning with a role-playing method and assisted by a pocket-book about disaster education was more effective than learning through lectures and discussion methods. Responses to a questionnaire showed an average score of 82.7 percent, stating that students were very interested in such learning. The results of this study indicate that disaster mitigation learning must be implemented with a method that involves active student participation and is also complemented by interesting learning materials such as the role-playing method assisted by use of a disaster education pocket book.
Therapeutic Evaluation of the potential mechanisms of Anti-inflammatory Activities of Fagara zanthoxyloides Leave Extract in Wistar Rats

Fagara zanthoxyloides is a medicinal plant used in traditional medicine for the treatment of elephantiasis, toothache, sexual impotence, malaria, dysmenorrheal and abdominal pain among rural dwellers. The aim of the present study was to evaluate the in vivo and in vitro anti-inflammatory effect of the methanol extracts of the leaves of Fagara zanthoxyloides to validate its use in folklore medicine. The analysis of the phytochemical content of the leaf extract of Fagara zanthoxliodes revealed the presence of different secondary metabolites (tannins, saponin, terpenoids, steroids, flavonoids, alkaloids, phenols and glycoside) in varying proportions. In the systemic oedema of the rat paw, scalar doses (50, 100 and 250 mg/kg b.w) of the extract significantly (p < 0.05) suppressed the development of paw oedema induced by egg albumin at different time intervals (0.5 hr-5 hrs). This compares well with a standard anti– inflammatory drug indomethacin (10 mg/kg b.w). Varying doses of the extract (1.0, 1.2, 1.4, 1.6 and 1.8 ml) significantly (p< 0.05) inhibited phospholipase A 2 activity in a concentration-related manner provoking inhibition comparable to that of prednisolone, a standard anti-inflammatory drug. Similarly, the extract significantly (p< 0.05) inhibited CaCl 2 -Induced platelet aggregation in a dose and time dependent manner when compared to the control and the standard drug (indomethacin). The extract also significantly (p< 0.05) inhibited hypotonicity induced membrane stabilization when compared to that control and standard drug (Indomethacin). These results indicate that the extract produced potential anti-inflammatory activity which could be as a result of the rich phytochemical constituents.
Isotherm, kinetics, process optimization and thermodynamics studies for removal of Congo red dye from aqueous solutions using Nelumbo nucifera (lotus) leaf adsorbent

The present study is concerned with the batch adsorption of Congo red (CR) from aqueous solutions using Nelumbo nucifera (lotus) leaf powder (LLP) adsorbent. Decolorization experiments were conducted in batch mode by varying experimental factors such as initial pH,adsorbate concentration,adsorbent dosage, particle size and agitation speed. The experiments are designed to attain the most optimized system using response surface methodology. The maximum adsorption efficiency is obtained at an initial pH: 6, adsorbent dosage: 6 g L–1,adsorbent particle size: 42 µm and agitation speed: 150 rpm. The prepared adsorbent was characterized by proximate, particle size, Brunauer–Emmett–Teller surface area and pore volume, attenuated transmission reflector,field-emission scanning electron microscopy/energy-dispersive X-ray spectroscopy, and thermogravimetric analysis. The zero-point charge of the adsorbent was found to be at pH 6.2. The isotherm and kinetic rate constants are found using several isotherm and kinetic models, respectively. The dye adsorption rate follows a pseudo-second-order kinetic model, and the equilibrium data fit the Langmuir isotherm model with a maximum monolayer adsorption capacity (qmax) of 45.89 mg g–1 at 303 K. The adsorption mechanisms were described by pore diffusion, Bangham and Boyd plots. The overall rate of adsorption is controlled by both film and pore diffusion of dye molecules. Based on the thermodynamic analysis, the adsorption was found to be endothermic in nature, and the process was chemisorption, spontaneous and favored at high temperatures. Desorption studies were conducted with various desorbing reagents and the maximum desorption efficiency was determined using the solvent methanol. The adsorption of solute from real textile industrial CR dye effluent was carried out in batch studies using LLP adsorbent. The chemical oxygen demand removal efficiency of industrial dye effluent was 67.35%.
RELEVANCY THE COMPONENTS OF THE ENGLISH LESSON PLAN

Harmer (2007, p.156) said that “For teachers, plan gives the lesson a framework, an overall shape”. It means that lesson plan guiding teachers to convey the teaching-learning activities. Teachers’ competence in designing lesson is essential in order to plan the strategy to improve the quality of teaching learning activity. Relevancy of lesson plans to the regulation issued by government needed in order to gain the goals of National Education. Permendikbud No. 22 Tahun 2016 is issued by Indonesian government to regulate the Standar Proses . The regulation mentions components of lesson plan based on 2013 curriculum to lead teachers in designing lesson plan. A school supervisor as the researcher has a task to observe and study teacher lesson plans whether it is relevant or not. She collected the data from ten English teacher lesson plans then analyse the relevancy and interviewed teachers to confirm the findings. The result of document analysis revealed that all lesson plans mentioned every components of lesson plans which are indicators and basic competences, objectives, materials, method, media, activities, and assessment; but when it was analysed based on the principles of each component based on Permendikbud Nomor 22 Tahun 2016 the quality of each components were varies. The result of the research showed that the lesson plans made by English teacher consisted all complements completely based on 2013 curriculum but there were some components of lesson plan were not relevant. The material sources and activity (opening, core and closing activity) were relevant; almost all lesson plans mentioned well. The component with the lowest relevant were indicator and assessment. In indicator components, most of the teachers did not know how to differentiate operational verb of cognitive and psychomotor domain and in assessment component; most of lesson plans did not stated character instrument and assessing rubric for psychomotor skill (writing and speaking skill).
Melhorando a Acurácia da Detecção de Lavagem de Dinheiro na Rede Bitcoin

Resumo. A rede Bitcoin permite a transferência de criptomoeda com um baixo custo, de forma rápida, sem limites geográficos e sem a intervenção de um banco intermediador. É uma possı́vel solução para mais de um bilhão de pessoas que não possui acesso ao sistema financeiro por causa dos altos custos. Por outro lado, a rede Bitcoin é pseudônima e tem sido usada para uma enorme variedade de atividades financeiras dúbias e ilegais. Este artigo investiga as atividades de lavagem de dinheiro na rede Bitcoin através de diversos mecanismos que procuram melhorar o desempenho de classificadores na análise de um conjunto de dados desbalanceado devido a uma classe minoritária com poucas amostras. Os experimentos realizados mostram a eficácia de cada estratégia na melhora da classificação das atividades de lavagem de dinheiro tais como: i) descoberta automática de caracterı́sticas; ii) o uso de diferentes classificadores de aprendizado de máquina, inclusive com o uso de algoritmo de reforço de aprendizado adaptativo; iii) o percentual de repartição do conjunto de dados em treino e teste e iv) heurı́sticas de sobreamostragem. Os resultados mostram um bom desempenho do algoritmo de sobreamostragem ADASYN e que o maior ganho em desempenho foi com o classificador floresta aleatória.
Congenital Dermal Sinus: case series and the consequences of late diagnosis and treatment

Introduction:Congenital Dermal Sinuses (CDS) are rare closed dysraphisms that can present throughout the extent of the neuroaxis. They occur due to a failure of the disjunction of the neuroectoderm and cutaneous ectoderm in a focal point during 3-4 week of embryogenic development. The prevalence of CDS of all types has been estimated to be 1 in 2,500 live births, most commonly localized in the lumbar region. More than half of the cases are associated with dermoid or epidermoid tumors. Clinical presentation of CDS usually consists in cutaneous stigmas like dimples, which has the potential to be diagnosed at birth. However, the majority of patients are diagnosed older and after complications such as meningitis, abscess, osteomyelitis, rupture of an associated epi/dermoid cyst. Once suspected the patient should be submitted to an image study with CT scan and/or MRI, and surgical consultation. Complete exeresis is the definitive treatment. Case report: we present 3 cases of CDS, including an extremely rare case of frontonasal location, to illustrate the extent of the disease and the importance of early diagnosis and treatment. All of the 3 cases presented with complications, requiring surgical treatment and long term antibiotic therapy. Conclusion: Although well reported in the literature, CDS are usually diagnosed after complications. The knowledge of clinical presentation, early diagnosis and treatment are essential to prevent its life threatening complications.
Speed and Area Efficient FXP Adders and Multipliers: A Comparative Analysis for LNS System

In this paper, a variety of adder and multiplier are compared to be implemented in a new logarithmic number system (LNS). Both adder and multiplier are designed with a generic very high-speed integrated circuit hardware description language (Verilog) program. This makes it possible to achieve the optimum performance in latency and area of 0. 18µm CMOS technologies LNS chip. Consequently, the optimal configurations vary with speed and area of the schemes and in some cases can be compact area, O(n), fast in latency O(log2 n) or optimized. The program was scripted based on fixed-point (FXP) adders and multipliers that yet will be implemented in LNS system. The functionality of the scheme was tested before synthesized. Outcomes show that Ladner Fisher (LF) adder and modified Baugh Wooley multiplier contribute to fast in latency and consume minimal area.
Mapping Resonance Structures in Transient Core-Ionized Atoms

The nature of transient electronic states created by photoabsorption critically determines the dynamics of the subsequently evolving system. Here, we investigate K-shell photoionized atomic neon by absorbing a second photon within the Auger-decay lifetime of 2.4 fs using the European XFEL, a unique high-repetition-rate, wavelength-tunable x-ray free-electron laser. By high-resolution electron spectroscopy, we map out the transient Rydberg resonances unraveling the details of the subsequent decay of the hollow atom. So far, ultra-short-lived electronic transients, which are often inaccessible by experiments, were mainly inferred from theory but are now addressed by nonlinear x-ray absorption. The successful characterization of these resonances with femtosecond lifetimes provides the basis for a novel class of site-specific, nonlinear, and time-resolved studies with strong impact for a wide range of topics in physics and chemistry. (Less)
Design of series resonant switched‐capacitor equaliser for series‐connected battery strings

The traditional pure switched-capacitor equaliser brings the large inrush current and low energy density. This study proposes a series of resonant switched-capacitor (ReSC) voltage equaliser, which realises energy transferred directly from source cells to target cells by the series ReSC converter. The ReSC converter eliminates the inrush current and improves the capacitors’ energy density to increase the balancing speed. Meanwhile, all the switches are controlled by a pair of complementary PWM signals at a fixed operational frequency without voltage monitors. Both simulation and experiment are used to verify the system feasibility and theoretical analysis of the proposed circuit. In the same experimental condition, the proposed series resonant circuit reduces the inrush current. It improves the energy density of capacitors three times compared with the pure series switched-capacitor equaliser.