Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrochemical Determination of Hydrogen Peroxide Using a Glassy Carbon Electrode Modified with Three-Dimensional Copper Hydroxide Nanosupercages and Electrochemically Reduced Graphene Oxide

ABSTRACT Three-dimensional copper hydroxide nanosupercages and electrochemically reduced graphene oxide were used to modify the glassy carbon electrode for the selective determination of hydrogen peroxide. The morphology and electrochemistry properties of copper hydroxide nanosupercage/electrochemically reduced graphene oxide/glassy carbon electrode were characterized using transmission electron microscopy, scanning electron microscopy, X-ray diffraction, Fourier transform infrared spectra, Raman spectra, cyclic voltammetry, and electrochemical impedance spectroscopy. The resulting copper hydroxide nanosupercage/electrochemically reduced graphene oxide/glassy carbon electrode showed favorable performance for the electrocatalytic reduction of hydrogen peroxide. The amperometric current–time curve of the electrochemical sensor exhibited a wide linear range from 0.5 to 1030 µM with a limit of detection of 0.23 µM at a signal-to-noise ratio of three. Moreover, the sensor provided favorable selectivity, reproducibility, and stability and was used for the determination of H2O2 in tap water.
Perovskite‐Type Oxynitride Nanofibers Performing Photocatalytic Oxygen and Hydrogen Generation

Ba5Nb4O15 nanofibers with tailored nanofiber diameters are prepared via electrospinning, and treated in ammonia gas to synthesize niobate oxynitride nanofibers. Most importantly, the nanofibers retain their fiber morphology during ammonolysis, and the nanofiber diameter of the converted fibers can be adjusted. Only a thorough characterization, including detailed Rietveld refinements, can reveal that the ammonolysis of Ba5Nb4O15 results not only in BaNbO2N, but also generates Ba2NbO3N as additional oxynitride phase. Such BaNbO2N–Ba2NbO3N composite nanofibers with adjusted nanofiber diameters are applied in photocatalytic water oxidation and hydrogen generation. After decoration with CoNbO4 or Pt cocatalyst, the materials show a diameter‐dependent photocatalytic activity, respectively, with an optimum nanofiber diameter. The presented synthesis demonstrates a novel sol–gel‐derived possibility for nanostructuring of oxynitrides, which can pave the way for new synthesis strategies of nanostructured complex oxynitrides.
An Expanded Gas-grain Model for Interstellar Glycine

The study of the chemical evolution of glycine in the interstellar medium is one of the challenging topics in astrochemistry. Here we present the chemical modeling of glycine in hot cores using the state-of-the-art three-phase chemical model NAUTILUS, which is focused on the latest glycine chemistry. For the formation process of glycine on the grain surface, we obtained consistent results with previous studies that glycine would be formed via the reactions of COOH with CH2NH2. However, we will report three important findings regarding the chemical evolution and the detectability of interstellar glycine. First, with the experimentally obtained binding energy from the temperature-programmed desorption (TPD) experiment, a large proportion of glycine was destroyed through the grain surface reactions with NH or CH3O radicals before it fully evaporated. As a result, the formation process in the gas phase is more important than thermal evaporation from grains. If this is the case, NH2OH and CH3COOH rather than CH3NH2 and CH2NH would be the essential precursors to the gas-phase glycine. Second, since the gas-phase glycine will be quickly destroyed by positive ions or radicals, the early evolutionary phase of the hot cores would be the preferable target for the future glycine surveys. Third, we suggest the possibility that the suprathermal hydrogen atoms can strongly accelerate the formation of COOH radicals from CO2, resulting in the dramatic increase of formation rate of glycine on grains. The efficiency of this process should be investigated in detail by theoretical and experimental studies in the future.
Terapi Akupunktur Dan Pola Hidup Sehat Untuk Menurunkan Tekanan Darah Pada Penderita Hipertensi

Background: Hypertension is a disease that is a public health problem found in both developed and developing countries. It takes obedience and discipline and money to be able to control high blood pressure. Acupuncture can be applied to help control blood pressure by stimulating acupuncture points to deliver and smooth the Qi in an effort to balance Yin Yang which medically can improve the physiology of blood pressure. More than 20% of the Bibis Luhur RW XXI Nusukan Banjarsari Surakarta community complained of frequent dizziness and experiencing high blood pressure. Methods: Examination of blood pressure checks, counseling on healthy lifestyles and prevention of hypertension, as well as acupuncture therapy services located at Griya Sehat Prima Hati. The activity was carried out 12 times with a frequency of once a week with local health cadres. Blood pressure was checked at each visit and blood pressure comparisons were made from the first and last therapy. Results: There was an average decrease of 19 mmHg for systolic pressure and 10 mmHg for diastolic pressure. Patients, families and health cadres experienced an increase in knowledge about hypertension management and a healthy lifestyle by 80%. Acupuncture reduces comorbidities for people with hypertension such as dizziness, insomnia, stiff neck, and other complaints. Conclusion: With counseling, health care, and acupuncture therapy to help people understand and improve their daily life patterns, reduce complaints, and lower blood pressure.
Calculating lifetime expected loss for IFRS 9: which formula is measuring what?

PurposeThe purpose of this article is to derive formulas for lifetime expected credit loss of loans that are required for the calculation of loan loss reserves under IFRS 9. This is done both for fixed-rate and floating rate loans under different assumptions on LGD modeling, prepayment, and discount rates.Design/methodology/approachThis study provides exact formulas for lifetime expected credit loss derived analytically together with the mathematical proofs of each expression.FindingsThis articles shows that the formula most commonly applied in the literature for calculating lifetime expected credit loss is inconsistent with measuring expected loss based on expected discounted cash flows. Formulas based on discounted cash flows always lead to more conservative numbers.Practical implicationsFor banks reporting under IFRS 9, the implication of this research is a better understanding of the different approaches used for computing lifetime expected loss, how they are connected, and what assumptions are underlying each approach. This may lead to corrections in existing frameworks to make applications of risk management systems more consistent.Originality/valueWhile there is a lot of literature explaining IFRS 9 and evaluating its impact, none of the existing research has systematically analyzed the calculation of lifetime expected credit loss for this purpose and how the formula changes under different modeling assumptions. This gap is filled by this study.
Beurteilung von Fels als Befestigungsuntergrund für nachträgliche Befestigungen mit geringer Einbindetiefe

Für Gebirge als Befestigungsuntergrund ist es aufgrund einer Vielzahl an möglichen Einbausituationen schwer, vorab auf das Tragverhalten und die Tragfähigkeit von Befestigungselementen schließen zu können. In diesem Aufsatz wird daher untersucht, wie sich ein Befestigungsmittel in anstehendem Fels bei geringen Einbindetiefen verhält und welche Untergrundparameter einen wesentlichen Einfluss auf das Tragverhalten und die Tragfähigkeit haben. Dazu werden Versuche an nachträglich installierten Befestigungen unterschiedlichen Wirkprinzips (Verbundanker, Spreizanker) in unterschiedlichen Lithologien Ostösterreichs vorgestellt. Es konnte gezeigt werden, dass mittels Gebirgsklassifikation auf die Eignung des Gebirges als Befestigungsuntergrund rückgeschlossen werden kann. Für eine Abschätzung der Tragfähigkeit ist eine kleinräumige Untersuchung jedoch unbedingt notwendig. Nicht nur das Vorhandensein von Trennflächen hat einen Einfluss auf die Tragfähigkeit, sondern auch deren Beschaffenheit. Gewisse Analogien zu Beton als Untergrund konnten festgestellt werden.
Constrained Predictive Control Based on a Large-Signal Model for a Three-Phase Inverter Connected to a Microgrid

Small-signal models are mostly used to model and design inverter-dominated microgrids. Conversely, this article proposes a large-signal model for grid-forming inverters connected to a microgrid based on the active and reactive power dynamic equations. In this work, it is proposed to use this nonlinear model to develop a constrained predictive control for the inverters connected to a microgrid. The main features of this proposed control are follows: first, direct voltage control (in amplitude and frequency) is not necessary; second, stability is guaranteed under a wide range of line impedances (hence, the virtual impedance is not needed); third, the proposed control can operate with unbalanced and nonlinear loads. Moreover, a theoretical stability analysis is presented. Selected experimental results show that the proposed control operates satisfactorily in case of a load step change, a load imbalance, and nonlinear loads.
Bio-Inspired Design, Modeling, and Control of Robotic Fish Propelled by a Double-Slider-Crank Mechanism Driven Tail

This paper presents the design, modeling, and control of a three-joint robotic fish propelled by a Double-Slider-Crank (DSC) driven caudal fin. DSC is a mechanism that can use one DC motor to achieve oscillating foil propulsion. Its design is guided by a traveling wave equation that mimics a fish’s undulatory locomotion. After multiple tests, the robotic fish displayed good performance in mimicking a real fish’s swimming motion. DSC mechanism is proven to be an effective propulsion technique for a robotic fish. With the help of another servo motor at the first joint of the fish’s tail, the robotic fish can have a two-dimensional free-swimming capability. In experiments, the robotic fish can achieve a swimming speed of 0.35 m/s at 3 Hz, equivalent to 0.98 body length (BL) per second. Its steering rate is proportional to a bias angle. The DSC benefits the control of the robotic fish by independently adjusting its steering and swimming speed. This characteristic is studied in a hydrodynamic model that derives the thrust within a DSC frame. Besides the dynamic model, a semi-physics-based and data-driven linear model is established to connect bias angle to robotic fish’s heading angle. The linear model is used for designing a state feedback control, and the controller has been examined in simulation and experiments.
Input imagery, classifiers, and cloud computing: Insights from multi-temporal LULC mapping in the Cambodian Mekong Delta

ABSTRACT The increased open-access availability of radar and optical satellite imagery has engendered numerous land use and land cover (LULC) analyses combining these data sources. In parallel, cloud computing platforms have enabled a wider community to perform LULC classifications over long periods and large areas. However, an assessment of how the performance of classifiers available on these cloud platforms can be optimized for the use of multi-imagery data has been lacking for multi-temporal LULC approaches. This study provides such an assessment for the supervised classifiers available on the open-access Google Earth Engine platform: Naïve Bayes (NB), Classification and Regression Trees (CART), Random Forest (RF), Gradient Tree Boosting (GTB), and Support Vector Machines (SVM). A multi-temporal LULC analysis using Sentinel-1 and 2 is implemented for a study area in the Mekong Delta. Classifier performance is compared for different combinations of input imagery, band sets, and training datasets. The results show that GTB and RF yield the highest overall accuracies, at 94% and 93%. Combining optical and radar imagery boosts classification accuracy for CART, RF, GTB, and SVM by 10–15 percentage points. Furthermore, it reduces the impact of limited training dataset quality for RF, GTB, and SVM.
Cracking the fault line in stock markets: the case of bonus issue announcements

PurposeThe paper aims to measure the magnitude of the event-induced return anomaly around bonus issue announcement days in Turkey for recent years. Also, by describing the information content of these announcements with the current data, the study tries to find out the factors that cause return anomaly in Borsa Istanbul when firm boards release the bonus issue decision.Design/methodology/approachThe paper conducts event study methodology for detecting market anomaly around bonus issue announcements. For the pairwise comparison purpose, t-test and one-way ANOVA methods are applied to examine if abnormal returns vary according to the information content of the announcements.FindingsAnnouncement returns for bonus issues from internal resources outperform the issues that are distributed from last year's net income as bonus shares. Findings indicate different return behaviour among internal resources sub-groups. Findings also suggest that investors in Turkey welcome larger-sized issues, while cumulated returns for the initial offers significantly differ from the latter issues.Research limitations/implicationsFindings are limited to the Turkish equity market. Also, the Public Disclosure Platform of Turkey, which is the main data source of the study, does not provide bonus issue announcements before 2010. Therefore, the previous year's data cannot be included in the analysis.Originality/valueThis paper is novel in terms of considering the main resources of the bonus issue in detail to measure the announcement's impact on stock returns.
Application de la Factorisation en Matrices Non-négatives pour l'amélioration de la localisation de tumeurs en tomographie optique diffusive de fluorescence

L'imagerie optique de fluorescence permet de localiser des marqueurs fluorescents specifiques injectes au patient qui s'accumulent autour de tumeurs cancereuses. Une fois les regions dSinteret illuminees, un signal de fluorescence est emis par les marqueurs mais egalement par les tissus sains environnants. Lors de l'analyse de tissus epais, alors que le signal de fluorescence decroit avec le parcours de la lumiere, l'autofluorescence des tissus previent la detection des marqueurs profonds. Un approche spectroscopique basee sur la Factorisation en Matrices Non-negatives (FMN) est proposee pour separer les spectres de fluorescence et eliminer l'autofluorescence des tissus. Afin de limiter le probleme de non-unicite de la decomposition, l'ajout d'a priori a la methode classique developpee par Lee et Seung est propose; la pertinence de ces contraintes est illustree sur des exemples d'acquisitions de fluorescence in vivo.
Stabilization of two-dimensional mixed continuous-discrete-time systems via dynamic output feedback with application to iterative learning control design

This paper investigates the asymptotic stabilization of the 2-D continuous-discrete-time systems via dynamic output feedback. The problem is formulated in a general framework, where the system and controller are both described by the Roesser model. By rigorous mathematical works, a linear matrix inequality (LMI) condition is established to ensure the asymptotic stability of the closed-loop system. Using this LMI condition, the problem of determining the stabilizing controller parameters is converted to a rank minimization problem (RMP) with an LMI constraint, or equivalently to a rank-constrained optimization problem (RCOP). When this RMP (or equivalently this RCOP) has a solution, then the controller parameters are obtained uniquely by an explicit formula in terms of this solution. Moreover, it is shown that one can transform the problem of one-dimensional continuous-time iterative learning control (ILC) design to a 2-D stabilization problem, and consequently solve it using the presented two-dimensional scheme. Some numerical examples are given to illustrate the proposed method.
Simplified Swarm Optimization for the Heterogeneous Fleet Vehicle Routing Problem with Time-Varying Continuous Speed Function

Transportation planning has been established as a key topic in the literature and practices of social production, especially in urban contexts. To consider traffic environment factors, more and more researchers are taking time-varying factors into account when scheduling their logistic activities. The time-dependent vehicle routing problem (TDVRP) is an extension of the classical Vehicle Routing Problem with Time Windows (VRPTW) by determining a set of optimal routes serving a set of customers within specific time windows. However, few of them use the continuous speed function to express the time-varying. In practice, many vehicle routing problems are addressed by a fleet of heterogeneous vehicles with different capacities and travel costs including fix costs and variable costs. In this study, a Heterogeneous Fleet Vehicle Routing Problem (HFPRP) Time-Varying Continuous Speed Function has been proposed. The objective is to minimize distribution costs, which contained fixed costs of acquiring and variable fuel costs. To address this problem, our research developed a mathematical model and proposed a Simplified Swarm Optimization (SSO) heuristic for HFVRP with Time-Varying Continuous Speed Function.
Variations of Accelerometer and Metabolic Power Global Positioning System Variables across a Soccer Season: A Within-Group Study for Starters and Non-Starters

The aims of this study were to analyze the within-group weekly metabolic power average (wMPA), weekly acceleration zones (wAcZ), and weekly deceleration zones (wDcZ), in starter and non-starter professional soccer players, based on different periods of the full season (pre-, early-, mid-, and end-season). Twenty-one professional soccer players (age, 28.3 ± 3.8 years; height, 181.2 ± 7.1 cm; body mass, 74.5 ± 7.7 kg; BMI, 22.6 ± 1.0 kg·m2) were monitored during the full season in the highest level of the Iranian Premier League. WMPA, wAcZ, and wDcZ at three different zones (wAcZ1, wAcZ2, wAcZ3, wDcZ1, wDcZ2, wDcZ3) were collected using Global Positioning System. ANOVA was applied to analyze within-group changes across the different periods of the full season. In general, starters presented higher values in the beginning of the season (pre- and early-season) and lower values at mid- and end-season. Specifically, starters showed significant differences in early- vs. mid-season for wMPA, wAcZ1, and wDcZ1 (p < 0.05), plus early- vs. end-season for wMPA and wAcZ1 (p < 0.01). In addition, non-starters showed higher values in the pre-season that decreased until the end-season for wMPA, wAcZ1, and wDcZ1. Regarding wAcZ2, wDcZ2, wAcZ3, and wDcZ3, non-starters presented higher values in early-season that decreased until the end-season. Specifically, non-starters showed significant differences in pre- vs. mid-season for wMPA, wAcZ1, and wDcZ1; pre- vs. end-season for wMPA, wDcZ1, wDccZ2, and wDcZ3; early- vs. mid-season for wMPA, wAcZ1, wDcZ1, wAcZ2, and wDccZ2; early- vs. end-season for wMPA, wAcZ1, wDcZ1, wAcZ2 wDccZ2, wAcZ3, and wDcZ3; and mid- vs. end-season for wMPA, wAcZ1, and wAcZ3 (p < 0.05). In conclusion, starters were revealed to have higher values in pre- and early-season, and lower values in mid- to end-season, while non-starters were revealed to have lower load values in pre- and end-season and higher load values in early- and mid-season. This study provides extra insights over the season for starters and non-starters, respectively. Data can be used by coaches to better training periodization across soccer season.
The influence of non-R&D channels on innovation in a developing economy: an empirical analysis in the context of India

ABSTRACT This study investigates the capability of innovation in India from a neo-Schumpeterian perspective, mainly focusing on the non-R&D aspects. We choose this focus for three reasons: (i) Based on our exploratory analysis, the investigation of innovation needs to go beyond the R&D effort (of manufacturing firms); (ii) R&D outlays alone may not fully explain innovation, particularly in resource-scare transition economies like India; and, (iii) Motivated by the theoretical underpinnings of the neo-Schumpeterian literature highlighting the process of interaction that enable the nurturing of innovation capabilities through national innovation system (NIS). Using Indian data from 1981 to 2017, of the non-R&D aspects of inputs, such as human capital, financial capital as internal factors; openness, FDI, and remittances as external factors. Estimated results from the cointegration analysis indicate that human capital and remittances are significant, but FDI has little impact, and openness (in terms of exports and imports) has an insignificant effect on innovation.
College Completion in a No-Racial/Ethnic Majority Campus

Despite evidence for the academic and psychological benefits of racial/ethnic minority (REM) students enrolling in minority-serving institutions, REM college students’ graduation rates have been consistently lower for White students across institutions. The current study examined REM graduation rates and associated risk factors in a campus with no-racial/ethnic majority (NRM). The findings indicated that (1) the graduation rates of REM (Black and Latinx) students were higher at the NRM institution than national averages, with little disparity in NRM graduation rates among racial/ethnic groups, (2) REM female students graduated at higher rates than Asian and White male students, and (3) self-reported stress and registration status predicted college completion. Moreover, traditional predictors, such as household income, gender, and parental education, were not associated with college completion. A separate analysis of graduation rates at colleges high versus low in racial/ethnic diversity also revealed little graduation disparity among racial/ethnic groups when diversity is relatively high. The results support the hypothesis that REM students thrive academically in educational settings where no single racial majority exists.
Perfil epidemiológico de pacientes internados por HIV/AIDS no Brasil: Revisão integrativa da literatura

A Síndrome da Imunodeficiência Humana Adquirida (AIDS) é uma doença causada pelo vírus da imunodeficiência humana (HIV), que acomete o sistema imunológico do homem destruindo as células da série branca do sangue, responsáveis pela defesa do organismo. Com base nessa problemática, o presente estudo teve como objetivo descrever o perfil epidemiológico dos pacientes internados com HIV/AIDS no Brasil. Para isso, foi desenvolvida uma pesquisa de revisão integrativa da literatura (RIL). Foram selecionados 23 artigos, lidos na íntegra, e utilizados para a construção dos dados. As publicaões foram organizadas nas seguintes categorias: predomínio do sexo, formas de transmissão, faixa etária, situação conjugal, grau de instrução, situação ocupacional e patologias associadas. Verificou-se a elevação do número de casos de internações por HIV no Brasil, além do predomínio entre homens solteiros, com baixo nível de escolaridade e vida sexual ativa associado ao não uso do preservativo.