Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of nitrogen doping and tunable pore structures on arsenic removal

Nitrogen doped carbons were synthesized by a carbonitride derived carbon (CNDC) at various chlorination temperatures. CN73s that have both small microand mesopores with nitrogen functional group, such as pyrrolic-N at the surface of pores, show excellent adsorption ability for the arsenic complex ions. Experimental and theoretical calculation results suggested that pore structure and the types of nitrogen functional groups making the CN73s highly charged significantly influenced the adsorption of arsenic. The small micro-pores(0.7 nm) that pyrrolic-N is placed at the edge of pores are active sites for capturing arsenic complex ions. The small meso-pores provide the diffusion path for arsenic ions and enhance the adsorption kinetics.
Optimisation of Plantain - Brewers’ Spent Grain Biscuit Using Response Surface Methodology

Aim: To optimize the formulation of plantainbrewersspent grain biscuits using Response Surface Methodology with the purpose of achieving the maximum quality and overall acceptability of produced biscuits. Study Design:Central composite design model of Response surface methodology was employed to design the work. This produced thirteen experimental runs, the variables considered were Brewers spent grain (94 -97 %) and plantain flour (3
RECENT TRENDS OF VOLATILE ORGANIC COMPOUNDS IN AMBIENT AIR & ITS HEALTH IMPACTS: A REVIEW

The global atmospheric pollutants present in the atmosphere are one of the representatives of volatile organic compounds (VOCs), which have their origin from both natural and anthropogenic sources but mobile sources particularly vehicles are recognized as a predominant source of emission. These compounds have both direct as well as indirect effects they make an essential involvement in the formation of photochemical smog & tropospheric ozone similarly they are known to be carcinogen BTEX are potentially toxic air pollutants among all VOCs. The exposure to high levels of these compounds may cause neuro-toxic symptoms mild exposure may cause irregular heartbeat, headache, dizziness, nausea etc. benzene is known as human carcinogen WHO estimates four in one million risk of leukemia on exposure to a concentration of 1 mg l /m3. About 50% of inhaled BTEX in air is absorbed in the body. Thus air toxics can pose special threats in urban areas because of the large number of people residing nearby roads facing heavy traffic especially in developing countries like India. Therefore, in this review we are summarizing various sources, sinks, national and international monitoring comparisons of these volatiles and their health impacts reported till date.
Nanotoxicology: A Threat to the Environment and to Mankind

Nanotoxicology represents a new and growing research area in toxicology. It deals with the assessment of the toxicological properties of nanoparticles (NPs) with the intention of determining whether (and to what extent)they pose an environmental or societal threat. Inherent properties of NPs (including size, shape, surface area, surface charge, crystal structure, coating, and solubility/dissolution) as well as environmental factors (such as temperature, pH, ionic strength, salinity, and organic matter) collectively influence NP behavior, fate and transport, and ultimately toxicity. The nanotoxicology researchers focused on the relationship between nanomaterial characteristics (size, shape, surface area etc.) and toxic responses (cytotoxicity, genotoxicity, inflammation etc.). This article aims to give a brief summary of what is known today about nanotoxicology.
Predykcyjne algorytmy sterowania przekształtnikiem AC/DC z filtrem LCL

The article presents two predictive control algorithms of the AC/DC converter with LCL filter. These methods are based on predictive control with a finite states FS-MPC (finite states model predictive control). The first one is based on a prediction of the converter current and the active damping algorithm. The second one is based on a new concept of AC/DC regulation using an extended model LCL filter and extensive cost function. The two methods in terms of THD grid current were compared in the article. (Predictive control algorithms of an AC / DC converter with LCL filter). Słowa kluczowe: LCL, FS-MPC, przekształtnik AC/DC, odnawialne źródła energii.
PERFORMANCE OPTIMIZATION OF WIND TURBINE USING CONDITION MONITORING AND FAULT DIAGNOSIS

In this paper, two learning algorithms called anomaly detection and Support Vector Machine (SVM) are employed to bearing fault diagnosis and CM. Basically the anomaly detection algorithm is used to recognize the presence of unusual and potentially faulty data in a dataset, which contains two phases: a training phase and a testing phase. In the former, the algorithm is trained with a training dataset and in the latter; the learned algorithm is applied to a set of new data. At their early stages is one of the most important aspects of machine CM. The second dataset was a test to failure data of bearings from the NSF I/UCR Centre for Intelligent Maintenance Systems (IMS) which was used to compare anomaly detection with a previously applied method (SVM) for finding the time incipient faults. Further in the proposed model we integrate the binning method was utilized to examine the failure data set of real bearings. In this paper, all the data from the time the bearing was working normally, until failure, were captured via vibration sensors.
ExLing 2012

This study is a longitudinal investigation, conducted over one academic year, into the role that extensive reading (ER) and reading strategies play in the cultivation of reading self-efficacy in an English as a foreign language (EFL) context. The study also examined how changes in reading self-efficacy relate to changes in reading proficiency. The participants (N = 322) were non-English major students at a university in Japan. The data for the study was obtained through a battery of Likertscale questionnaires and reading comprehension tests. The results revealed that a combination of reading strategy intervention and participation in an extensive reading program would lead to greater gains in reading self-efficacy which was also later shown to translate into gains in reading comprehension.
An Application of the Unscented Kalman Filter for Spacecraft Attitude Estimation on Real and Simulated Light Curve Data

In the past, analyses of lightcurve data have been applied to asteroids in order to determine their axis of rotation, rotation rate and other parameters. In recent decades, these analyses have begun to be applied in the domain of Earth orbiting spacecraft. Due to the complex geometry of spacecraft and the wide variety of parameters that can influence the way in which they reflect light, these analyses require more complex assumptions and a greater knowledge about the object being studied. Previous investigations have shown success in extracting attitude parameters from unresolved spacecraft using simulated data. This paper presents a focused attempt to derive attitude parameters using an Unscented Kalman Filter from both simulated and real data provided by Lockheed Martin Space. This paper characterizes and presents the differences in performance between three simulated geometries in low, medium, and geostationary orbit in both cases where they are spinning about a constant axis and in cases in which they are tumbling. Additionally, this paper hypothesizes and tests the idea that a predictable and extraneous angular velocity solution exists which is the reflection of the true solution about the plane defined by the sun and observation vectors. This paper encountered multiple instances of this type solution appearing in simulation and provides an example as well as a visualization. Finally, this paper demonstrates the ability to converge to a solution from real data although there were large discrepancies between the measurement model and the data. This paper discusses the validity of these solutions and sources of error.
Poverty Eradication and Ethics Relational Study on Service Quality, Customer Behavioral Intention and Customer Loyalty: A Study on Grameen Bank

This research tries to investigate the relationship between banks’ overall service quality and customer behavioral intention (word-of-mouth) as well as customer loyalty within the context of Grameen bank of Bangladesh. Here, banks’ overall service quality(reliability, responsiveness ,assurance, empathy ,tangibles) is considered as the independent variable and customer behavioral intention as well as customer loyalty are considered as dependent variables. The survey administered 102 questionnaires given to clients of Grameen Bank, Aukpara Branch, Savar ,Dhaka . The SPSS version 16 software was employed in this study for data analysis. Correlation analysis and stepwise regression analysis were performed to assess the hypothesis. The correlation analysis produced precise support to prove almost all the hypotheses but the stepwise regression provided partial support to the hypothesis. After successfully analyzing the gathered information, it was found that the measured independent variable (i.e., overall service quality,) was statistically correlated with bank’s customer behavioral intention as well as customer loyalty -------------------------------------------------------------------------------------------------------------------------*Dr. Mihir Kumar Roy ,Department of Business Administration, City University, Email :mihir.city@gmail ** ShahriarParvez Assistant Professor, Department of Business Administration City University; Emil :s. parvez_faculty_cityuniversity@yahoo.com ***Fatema Tu Zohora, Lecturer, Department of Business Administration, City University,Emil :fatematuzzohora@yahoo.com **Faruk Hossain, Department of Business Administration, City University, Email : saysfaruk@gmail.com
PREVENTION OF INFORMATION LEAKAGE FROM INDEXING IN CLOUD

: Cloud computing has to provide virtual, pay as your computing and storage services over the Internet, where the usage cost directly depends on as-needed basis. Content delivery is also one of the most important applications whose goal is to provide fast information retrieval with providing privacy. Also we know that in cloud handle of data management so it becomes onerous to manage and retrieval also incurs delay. While cloud computing is enlarge rapidly and it used by many private and public organizations internationally, data prevention issues in the cloud have not been carefully addressed at current stage. User have phobia of confidential data leakage and loss of privacy in the cloud may become a significant barrier to the wide adoption of cloud services. We explore a newly emerging problem of information leakage caused by indexing in the cloud. We design system that provides privacy to data using client virtual machine id through method call. We develop a portable technique to ensure strong actuation of users’ privacy requirements at server side.
The 1997–1998 El Niño as an unforgettable phenomenon in northern Peru: a qualitative study

During the 1997–98 El Niño Southern Oscillation (ENSO), Tumbes, Peru received 16 times the annual average rainfall. We explored how Tumbes residents perceived the ENSO’s impact on basic necessities, transport, healthcare, jobs and migration. Forty-five individuals from five rural communities, including those that were isolated and not isolated from the rest of Tumbes during this ENSO, participated in five focus groups and six individuals constructed nutrition diaries. When asked about events in the past twenty years, participants considered the El Niño as a major negative event. Negative effects that were ameliorated quickly were decreased access to transport and healthcare and increased infectious diseases. Residents needed more time to rebuild housing, recover agriculture, livestock and income stability, and return to eating sufficient animal protein. Although large-scale assistance minimized the ENSO’s effects, residents needed more timely support. Residents’ perspectives on their risks to flooding should be considered to generate effective assistance. Corresponding Author: Robert H. Gilman, M.D., The Johns Hopkins University, Bloomberg School of Public Health, 615 North Wolfe Street, Room W5515, Baltimore, MD 21205, Phone: 410-614-3959, Fax: 410-614-6060, gilmanbob@gmail.com. *Angela M. Bayer and Heather E. Danysh contributed equally to this manuscript and are joint first authors. Authors’ Contributions HED conceived and led all aspects of this research with mentorship from RHG and AMB. The field work was led by HED with support from AMB, MG, GG and MA. MG carried out the initial data analysis and AMB prepared the draft manuscript. All authors contributed to the interpretation of the data and the preparation of the manuscript. NIH Public Access Author Manuscript Disasters. Author manuscript; available in PMC 2015 February 04. Published in final edited form as: Disasters. 2014 April ; 38(2): 351–374. doi:10.1111/disa.12046. N IH -P A A uhor M anscript N IH -P A A uhor M anscript N IH -P A A uhor M anscript
First application of a coherent algorithm for gravitational-wave burst detection to data acquired by laser interferometric detectors

We present the results of the first joint search for gravitational-wave bursts by the LIGO and GEO 600 detectors. We search for bursts with characteristic central frequencies in the band 768 to 2048 Hz in the data acquired between the 22nd of February and the 23rd of March, 2005 (fourth LIGO Science Run S4). We discuss the inclusion of the GEO 600 data in the Waveburst-CorrPower pipeline which first searches for coincident excess power events without taking into account differences in the antenna responses or strain sensitivities of the various detectors. We compare the performance of this pipeline to that of the coherent Waveburst pipeline based on the maximum likelihood statistic. This likelihood statistic is derived from a coherent sum of the detector data streams that takes into account the antenna patterns and sensitivities of the different detectors in the network. We find that the coherent Waveburst pipeline is sensitive to signals of amplitude 30−50% smaller than the Waveburst-CorrPower LIGO-GEO S4 analysis 6 pipeline. We perform a search for gravitational-waves bursts using both pipelines and find no detection candidates in the S4 data set.
The impact of the Federal Reserve System’s interest rate channel on the components of aggregate demand

Motivation: Monetary policy decisions, through the process of transmission mechanism, affect the term structure of nominal interest rates as well as other asset prices, and thus influences aggregate demand (e.g. consumer spending and business investments) and price levels through these effects. The aspect of monetary transmission to various components of aggregate demand has been relatively little studied in the literature of the subject. Aim: The main aim of the study is to empirically investigate the effect of the Fed’s monetary policy on major components of aggregate demand over the past 35 years. To this aim, the scale and timing of the interest rate pass-through to economic activity have been examined. Results: The empirical findings showed that that between 1984 and 2019, the sensitivity of consumption and investment expenditures to interest rate impulses were different. Firstly, fixed investment spending accounted for a significant part that was responsible for the response of real GDP following an interest rate shock. Secondly, in the case of personal consumption expenditures, expenses for durable goods were more sensitive to changes in the Fed’s interest rate than spending on services and nondurable goods. In this way, the study expands the existing literature by reporting the effects of the Fed’s monetary policy on major components of aggregate demand over the past 35 years ORIGINAL ARTICLE received 04.03. 2021; revised 10.09. 2021; accepted 30.09. 2021 Citation: Brózda-Wilamek, D. (2021). The impact of the Federal Reserve System’s interest rate channel on the components of aggregate demand. Ekonomia i Prawo. Economics and Law, 20(3), 479–496. https://doi.org/10.12775/EiP.2021. 029. EKONOMIA I PRAWO. ECONOMICS AND LAW, 20(3), 479–496 480
Statistical Features Used for Recognition of Partial Discharge under AC-DC Combined Voltages

Recognition of partial discharges (PDs) has great advantages in condition estimation of high voltage (HV) converter transformers. This paper presents an approach for recognition of PD under AC-DC combined voltages. Four artificial insulation defect models were designed to generate PD signals under the combined voltages. PD data were detected by a Rogowski coil sensor in experiments. A series of statistical PD histograms were established for features extraction. Furthermore, statistical features of PD distributions were computed for PD recognition. For verifying the validity of the statistic features, a support vector machine (SVM) was used for recognition of PDs generated from different artificial insulation defect models. The recognition results show that the SVM and the proposed features were qualified for PD pattern recognition under AC-DC combined voltages.
Estimation of a production function with domestic and foreign capital stock

We estimate a Cobb‐Douglas production function distinguishing between a domestic and a foreign capital stock built from data of imported machinery and transport equipment for Brazil. The preferred regression uses log levels estimated by GMM‐HAC. Results are that the elasticity of production of foreign capital is about 40% of that of domestic capital, the function has constant returns to scale in capital and labour variables, and human capital and technical change are also highly productive. JEL codes: C22, C51, E23, F43, O54.
Management Characteristics and Audit Opinion Shopping

The present study assesses the relationship between management characteristics (management entrenchment, narcissism, CEO overconfidence, board effort, real and accrual-based earnings management) and audit opinion shopping in the Tehran Stock Exchange-listed firms. In other words, this paper seeks to answer the question "whether management characteristics can exert a favourable effect on audit opinion shopping or not. " For this study, the multivariate regression model is used for hypothesis testing. Research hypotheses are examined using a sample of 1309 observations on the Tehran Stock Exchange during 2012-2018 and by employing the panel data-based multivariate regression and fixed-effects model. The results show a negative and significant relationship between management entrenchment and managers' overconfidence and audit opinion shopping. A positive and meaningful relationship was observed between management narcissism, real and accrual-based earnings management, and board effort and audit opinion shopping.
UHF SENSORS SENSITIVITY IN DETECTING PARTIAL DISCHARGE SOURCES IN A TRANSFORMER

Partial discharge (PD) detection in the ultra high frequency (UHF) range can offer better immunity against electromagnetic disturbances and higher signal-to-noise ratio. However, the UHF method cannot be calibrated as per IEC 60270 to determine the equivalent apparent charge from the output signal of the UHF sensors. As a substitution to the calibration, sensitivity verification is proposed by the CIGRE WC 15.03. The sensitivity of the UHF measuring method is very dependent on the type of PD source, the construction of the transformer and the sensor types. In this paper, 4 different sensors are applied to capture PD signals from two different types of PD source (void and floating metal) to check sensors sensitivity. The effect of a physical barrier between sensor and PD source is also investigated. The total energy and magnitude are extracted from the full-span and zero-span spectra. For similar PD level, the total energy of the full-span spectra, with the barrier at varying distance from the sensor, shows random values. The total energy and magnitude of zero-span spectra show linear correlation to the PD level if the barrier is kept at the same position.
Stock Returns : Evidence from the Taiwan Stock Market 研 究 生 : 吳素禎 Student

This paper investigates the explanatory power of the market beta, firm size, and the book-to-market ratio, as well as Value-at-Risk regarding the cross-sectional expected stock returns in the Taiwan stock market. Our primary objective is to determine whether the Value-at-Risk factor has marginal explanatory power that is related to the Fama-French three-factor model. This study finds that Value-at-Risk can explain average stock returns at the 1% and 5% significance levels based on cross-sectional regression analysis. In addition, from the perspective of the time series regression, the HVARL factor can also help explain the variation in the stock market, especially for the larger companies in Taiwan’s stock market.
Adaptation transculturelle et validation d'une version française du Prosthesis Evaluation Questionnaire (PEQ-F) et d'une version française du Prosthetic Limb Users Survey of Mobility

Background: The PLUS-M 12-item Short-Form is a self-questionnaire that assesses the perceived capacity of lower limb amputees (LLAs) to perform a number of daily-life activities. Its psychometric properties are excellent (intraclass correlation coefficient [ICC] > 0.9, fast administration and scoring, normative data available), and it can be used in clinical practice or for research purposes. Objective: We aimed to develop a French version of this questionnaire and to assess its psychometric properties. Methods: We followed international recommendations for translation and cross-cultural validation of questionnaires. In total, 52 LLAs (age 53 16, 40 males, 28/12/12 transtibial/Gritti-Stokes/transfemoral, 20/28/4 ischemic/traumatic/other) participated. Criterion and construct validities were assessed with the Pearson correlation coefficient (PCC) between the PLUS-M 12-item Short-Form and other constructs (Prosthetic-Profile-of-the-Amputee-Locomotor Capabilities Index, Activities-specific Balance Confidence scale, 2-min walking test and Timed Up and Go test), internal consistency with the Cronbach a and reliability with the ICC in 46 individuals who completed the questionnaire twice in a 7-day interval. Results: The mean (SD) PLUS-M 12-item Short-Form T-score was 56.1 (7.8; range 40.3 to 71.4). Construct and criterion validity, internal consistency and reliability ranged from low to excellent (r = 0.43 to 0.84, P < 10 2 to 0.002; Cronbach a = 0.90, ICC = 0.89 [0.81–0.94]). We found no floor or ceiling effect. Conclusions: The French version of the PLUS-M 12-item Short-Form has good to excellent psychometric properties, comparable to those of the original version. Its use could definitely be proposed for both clinical and research purposes, once its validation is completed by assessing other psychometric qualities, especially sensitivity to change. C 2019 The Authors. Published by Elsevier Masson SAS. This is an open access article under the CC BY-NCND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Available online at
Apply+ : A tool to intelligently apply security patches

—Open source projects are sometimes forked by other organizations who continue development on the fork. One of the tasks that is common for such organizations is to take the patches that ﬁxes vulnerabilities in the original open source project and apply them to the fork. In the Git version control system, they would use a tool called git-apply. However, because of independent development on the fork, git-apply can fail to apply patches. In this paper, we build a tool on top of git-apply that can resolve issues and apply more of the patches than just git-apply. We ﬁrst carry out a study to see when git-apply fails and then build a tool called Apply+ that will resolve patch application in some of those cases. We carry out a case study on two open source projects to see how many of the failed patches we can apply. We validate the correctness of the tool in an industrial setting as well. Overall, we ﬁnd that our tool can help developers apply patches when git-apply fails.