Miracle-dz/UniFAR-FTUs huggingface dataset:
Removal of methylene blue from aqueous solution by mesoporous silicalite-1 synthetized using carboxymethyl cellulose as template

In the present work, we have developed a mesoporous silicalite-1 using CMC as a template for the removal of MB from aqueous solution. The synthesized silicalite-1 were characterised using scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Energy-dispersive X-ray spectroscopy (EDX) and N2 adsorption-desorption isotherm (BET). XRD and FTIR analysis confirmed the formation of crystallinity and development of MFI structure in the mesoporous silicalite-1. The adsorption of MB dye on mesoporous silicalite-1 was conducted by batch adsorption method. The effect of various parameters such as adsorbent dosage, initial dye concentration, contact time and temperature on the dye uptake ability of silicalite-1 was investigated. The operating parameters for the maximum adsorption are silicalite-1 dosage (0.1 wt%), contact time (240 min), initial dye concentration (10 ppm) and temperature (30℃). The MB dye removal onto mesoporous silicalite-1 followed pseudo-second-order kinetic and Freundlich isotherm. The silicalite-1 exhibits 86% removal efficiency even after six adsorption-desorption cycle. Therefore, the developed mesoporous silicalite-1 is an effective eco-friendly adsorbent for MB dye removal from aqueous environment.
Psychotherapy Supervision: A Self-Psychology View

From the perspective of forty years of practicing psychoanalytic psychotherapy, two of my former clinical supervisors now stand out. My first supervisor as a beginning psychotherapist was the pastoral counsellor Carroll Wise, who was a model of patience and non-intrusiveness. The most important supervisor, however, was Leo Thomas Father Leo Thomas a Religious priest and staff member during a twelve-month post-doctoral Fellowship at the Menninger Foundation. When my clinical load rose rapidly to 15 hours a week, Leo‟s empathic approach to supervision, his insights into cases and, inevitably, his insights into me, lifted my clinical functioning and left a deep, lasting impression. Leo supervised all 15 hours with only a one-hour weekly session by using a steady flow of process notes (one or two pages) for each session with every client. These notes were dictated each evening, transcribed by a secretary the next morning, and placed in his basket, with copies to me.
MOKSLAS – LIETUVOS ATEITIS SCIENCE – FUTURE OF LITHUANIA

Banks are the main part of financial sector in each economy and strength of banking system becomes vital for ensuring favourable economic stability and growth. Recent failure of two commercial banks in Lithuania showed that managers haven’t evaluated liquidity risk or haven’t dealt with it properly. The tasks of the paper are to investigate Lithuanian banks position towards liquidity risk, analyse what kind of management tools banks use for ensuring favourable position towards liquidity and to explore the liquidity influence to profitability in Lithuanian banking sector. The article examines liquidity and its management processes in Lithuanian banking sector. Description of liquidity importance is presented. Liquidity risk and its measurement as well as the ways of managing the above mentioned risk is analysed in the article. In order to analyse the relationship between liquidity risk and profitability of banks, analysis of scientific literature, research synthesis and generalizations have been made.
Smart Module for Home Automation Using Android Application

 Abstract —Automation of home appliances using IoT is very common and demanding in the present scenario. On the other hand, we face difficulties since all the electrical cables are being replaced by newer ones and also the entire switch boards have to be replaced, this increases complexity and cost. Therefore, we proposed a design which is portable, compact and does not require entire cable alteration. Entire module consists of two hardware sections, sensor and controller section. Wi-Fi (ESP 8266) is used for inter sectional communication. The electrical appliances are controlled by an android application 7.1. 2. Making Home automation easy and accessible to all.
Analysis of Mutation Bias in Shaping Codon Usage Bias and Its Association with Gene Expression Across Species

Codon usage bias has been known to reﬂect the expression level of a protein-coding gene under the evolutionary theory that selection favors certain synonymous codons. Although measuring the eﬀect of selection in simple organisms such as yeast and E. coli has proven to be eﬀective and accurate, codon-based methods perform less well in plants and humans. In this paper, we extend a prior method that incorporates another evolutionary factor, namely mutation bias and its eﬀect on codon usage. Our results indicate that prediction of gene expression is signiﬁcantly improved under our framework, and suggests that quantiﬁcation of mutation bias is essential for fully understanding synonymous codon usage. We also propose an improved method, namely MLE-Φ, with much greater computation eﬃciency and a wider range of applications. An implementation of this method is provided at https://github.com/luzhixiu1996/MLE-Phi.
Toeplitz Like Operators on 2-nuclear Tensor Product of Hardy Spaces

in this paper, we investigated Toeplitz like operators on vector valued Hardy spaces. Toeplitz like operators on 2-nuclear tensor product of Hardy spaces are then constructed and described using the theory of p-nuclear tensor product of Banach spaces, and their basic algebraic properties and spectrum are analyzed. Key-Words: Toeplitz like operators , 2-nuclear tensor product of hardy spaces. Received: January 26, 2021. Revised: May 6, 2021. Accepted: May 14, 2021. Published: May 20, 2021.
Moral Attitudes: Why Attitude Matters in Characterizing The Psychology of Moral Judgements

Stephen Stich has recently claimed that moral judgements are not a distinct psychological natural kind from conventional judgements. He argues that our two best methods in philosophy and psychology fail to provide a characterization of moral judgements that is immune to counter arguments, and therefore, it is likely there is only the psychology of conventional judgements. I argue that Stich’s arguments implicitly assume a mistaken assumption, that moral judgements are psychologically distinguished from conventional judgements only if they concern different kinds of content. This assumption is mistaken because moral judgements can be distinguished from conventional judgements in virtue of attitude type. I provide a theory of a moral attitude type to demonstrate the plausibility that moral judgements can be psychologically distinguished from conventional judgements in such a way. Furthermore, a large history of scholarship in philosophy and psychology on moral properties and content might have understandably lead Stich’s argument astray. INDEX WORDS: Norm, Attitude, Domain, Morality, Judgement, Conventionality Copyright by Tate Anders Krogstad 2021 MORAL ATTITUDES: WHY ATTIUDE MATTERS IN CHARACTERIZING THE PSYCHOLOGY OF MORAL JUDGEMENTS
THE EFFECTS OF THREE STEP INTERVIEW STRATEGY TOWARDS STUDENTS’ SPEAKING ABILITY

This research was aimed to know the positive effect of Three-Step-Interview strategy towards students’ speaking ability. The research was experimental research and was categorized quasi experimental especially nonequivalent control group design. The population of the research was the first semester students of hotel at Akademi Pariwisata Mataram consisting of six classes. Two classes were selected as the samples; those were IE and IF. They were drawn using cluster random sampling technique. Experimental group was treated using Three-Step-Interview strategy, and control group was treated using Think Pair Share strategy. The technique used for data collection was an interview. The result of the test was scored by speaking scoring rubric. Then, the scores were analyzed using t-test formula. According to the analysis, it showed that the value of to(t obtain)= 2.31 is higher than the value of tt (t table)= 2.00 at the level of significance of 5% and the degree of freedom (df) 58. Therefore, it can be concluded that there was significant difference between speaking scores of students taught by using value Three-Step-Interview strategy and taught by using Think Pair Share strategy. In other words, Three-Step-Interview strategy has positive effect towards the students’ speaking ability.
02 0 v 3 1 8 D ec 2 00 0 SCATTERING IN THREE DIMENSIONAL EXTREMAL BLACK HOLES

Twenty five years ago Hawking [1] discovered that black holes (BH) could disappear by quantum effects, suggestin that in a full quantum theory of gravity the singularities could be smoothed out in the same sense as, for instance, the selfenergy of the electron is smoothed out by renormalization in quantum electrodynamics. However before disappearance and in the case of very small BH, quantum effects produced by these objects could be important and its one presence in the universe should be enough to detect new physical effects such as quantum corrections to scattering of particles, new effects produced by strong fields and so on. The scattering of particles around BH is, nevertheless, very interesting because for D = 4 the classical absorption cross section is proportional to the BH area [2] (for results in higher dimensions see [3]) and one does not know if this result could survive at quantum level. One can solve this problem, considering a particle moving around a very small BH. If the Schwarzschild radius is much bigger than the Compton length, then the BH can be considered as a classical effective potential and the wave equation
HIV-1 Glycoprotein 120 Transgenic Mouse Model by a CXCR4-Using and Behavioral Impairment Induced in a CCR5 Knockout Prevents Neuronal Injury

The innate immune system has been implicated in several neurodegenerative diseases, including HIV-1–associated dementia. In this study, we show that genetic ablation of CCR5 prevents microglial activation and neuronal damage in a transgenic model of HIV-associated brain injury induced by a CXCR4-using viral envelope gp120. The CCR5 knockout (KO) also rescues spatial learning and memory in gp120-transgenic mice. However, the CCR5KO does not abrogate astrocytosis, indicating it can occur independently from neuronal injury and behavioral impairment. To characterize further the neuroprotective effect of CCR5 deﬁciency we performed a genome-wide gene expression analysis of brains from HIVgp120tg mice expressing or lacking CCR5 and nontrans-genic controls. A comparison with a human brain microarray study reveals that brains of HIVgp120tg mice and HIV patients with neurocognitive impairment share numerous differentially regulated genes. Furthermore, brains of CCR5 wild-type and CCR5KO gp120tg mice express markers of an innate immune response. One of the most signiﬁcantly upregulated factors is the acute phase protein lipocalin-2 (LCN2). Using cerebrocortical cell cultures, we ﬁnd that LCN2 is neurotoxic in a CCR5-dependent fashion, whereas inhibition of CCR5 alone is not sufﬁcient to abrogate neurotoxicity of a CXCR4-using gp120. However, the combination of pharmacologic CCR5 blockade and LCN2 protects neurons from toxicity of a CXCR4-using gp120, thus recapitulating the ﬁnding in CCR5-deﬁcient gp120tg mouse brain. Our study provides evidence for an indirect pathologic role of CCR5 and a novel protective effect of LCN2 in combination with inhibition of CCR5 in HIV-associated brain injury.
Evaluation of Sonocatalytic and Photocatalytic Processes Efficiency for Degradation of Humic Compounds Using Synthesized Transition-Metal-Doped ZnO Nanoparticles in Aqueous Solution

The existence of a humic substance in water causes the growth of microorganisms and reduces the quality of water; therefore, the removal of these materials is crucial. Here, the ZnO nanoparticles doped using transition metals, copper (Cu) and manganese (Mn), were used as an effective catalyst for photocatalytic removal of humic substances in an aqueous environment under ultraviolet, visible light, and light-emitting diode irradiations. Also, we study the effect of the sonocatalytic method. A solvothermal procedure is used for doping, and the Cu- and Mn-doped ZnO nanocatalyst were characterized by means of FTIR, XRD, AFM, SEM, and EDAX analyses. We investigate the effect of operational variables, including doping ratio, initial pH, catalyst dose, initial HS content, and illuminance on the removal efficiency of the processes. The findings of the analyses used for the characterization of the nanoparticles illustrate the appropriate synthesis of the Cu- and Mn-doped ZnO nanocatalysts. We observe the highest removal efficiency rate under acidic conditions and the process efficiency decreased with increasing solution pH, when we tested it in the range of 3–7. Photocatalytic decomposition of HS increases with a rise in catalyst dose, but an increase in initial HS content results in decreasing the removal efficiency. We observe the highest photocatalytic degradation of humic acid while using the visible light, and the highest removal efficiency is obtained using Cu.ZnO. The Cu.ZnO also shows better performance under ultraviolet irradiation compared to other agents.
Machine Body Language: Expressing a Smart Speaker’s Activity with Intelligible Physical Motion

People’s physical movement and body language implicitly convey what they think and feel, are doing or are about to do. In contrast, current smart speakers miss out on this richness of body language, primarily relying on voice commands only. We present QUBI, a dynamic smart speaker that leverages expressive physical motion – stretching, nodding, turning, shrugging, wiggling, pointing and leaning forwards/backwards – to convey cues about its underlying behaviour and activities. We conducted a qualitative Wizard of Oz lab study, in which 12 participants interacted with QUBI in four scripted scenarios. From our study, we distilled six themes: (1) mirroring and mimicking motions; (2) body language to supplement voice instructions; (3) anthropomorphism and personality; (4) audio can trump motion; (5) reaffirming uncertain interpretations to support mutual understanding; and (6) emotional reactions to QUBI’s behaviour. From this, we discuss design implications for future smart speakers.
Using the Econometric Model in the Analysis Geopolitical Issues of Gold

Gold is a much sought after resource in the modern world economy. Until the previous decade, the 10 countries were thought to hold the maximum reserves of gold. Our study extends the Geopolitical Issues of Gold on commodity prices of gold (in USD and EUR) by investigating the spillover between them. First, we study appropriately the statistical analysis of the world mine reserves of gold during the period 2011-2016, by region. This paper contributes to the existing literature by presenting an advantageous and a new frequency approach based on the econometric and political analysis. Using monthly data for gold prices from July 1979 to December 2016, we find that gold (in USD and EUR) has a high degree of interaction during the study period. This paper analyzes the causal direction of the correlation between gold prices in USD and EUR and examines the theoretical and empirical relationships between them.
Quantitative Sonographic Assessment of Quadriceps Muscle Thickness for Prospective Fall Injury in Patients Undergoing Maintenance Hemodialysis: an Observational Cohort Study

Asuka Sai Kodaira Kitaguchi Clinic Kentaro Tanaka Higashikurume Ekimae Clinic Yasushi Ohashi (  ohashiy@med.toho-u.ac.jp ) Toho University School of Medicine https://orcid.org/0000-0003-1670-9498 Akifumi Kushiyama Meiji Pharmaceutical University Yoshihide Tanaka Kumegawa Tousekinaika Clinic Shuta Motonishi Higashiyamato Nangai Clinic Ken Sakai Toho University School of Medicine Shigeko Hara Okinaka Memorial Institute for Medical Research, Toranomon Hospital Takashi Ozawa Kodaira Kitaguchi Clinic
Denoising 3D Time-Of-Flight Data

Depth Perception is widely used in several computer vision tasks. The most common method for depth calculation are range imaging cameras such as Time of Flight (ToF) cameras. However, ToF cameras suffer from non-negligible noise caused by Multi-Path Interference (MPI). While various classical methods exist, machine learning techniques haven’t been explored as much due to lack of ground-truth data. In this paper, we propose a novel method for MPI noise removal using a two-part convolutional neural network. The first model learns about the core properties of the reflective objects in the scene, such as the reflectively of the scene and local ambient light density. The second model learns to map such properties along with a False Depth Map to create a True Depth Map of the scene. We demonstrate and validate our results on synthetic dataset.
A Comparison of Infectious Outcomes Between In-Office Transperineal Prostate Biopsies Without Antibiotic Prophylaxis and Transrectal Prostate Biopsies

Majdee Islam University of Colorado Denver School of Medicine Rodrigo Donalisio Da Silva Denver Health Medical Center Alan Quach (  alan.quach@cuanschutz.edu ) University of Colorado Denver School of Medicine https://orcid.org/0000-0002-7555-1590 Diedra Gustafson Denver Health Medical Center Leticia Nogueira Denver Health Medical Center Nathan Clark University of Colorado Denver School of Medicine Fernando J. Kim Denver Health Medical Center
Model-based and Model-free RL for Robot Control

The previous chapter introduced the deterministic and stochastic sequential decision making problems, and demonstrated how these problems can be solved by dynamic programming. While dynamic programming is a powerful algorithm, it also suffers from several practical challenges. This chapter briefly introduces some of the key ideas in reinforcement learning1,2, which encompasses 1 D. Bertsekas. Reinforcement learning and optimal control. Athena Scientific, 2019 2 R. Sutton and A. Barto. Reinforcement learning: An introduction. MIT Press, 2018 a set of ideas that can generally be viewed as extensions or approximations of the dynamic programming approach, which make it more practical for many robotic applications.
BELIEFS REGARDING FOOD CHOICES AND DIETARY PRACTICES OF PREGNANT WOMEN: THE CASE OF JAMES TOWN, ACCRA-GHANA

iii List of Tables . iii List of Figures . iv Abbreviations . v CHAPTER ONE INTRODUCTION . 1 1.1. Background . 1 1.2. Research Problem . 2 1.3. The Problem Owner . 3 1.4. Research Objective . 3 1.5. Research Question . 4 1.5. 1. Sub questions . 4 CHAPTER TWO LITERATURE REVIEW . 5 2.1. Key Concepts: . 6 2.1.1. Food Choices. 6 2.1.2. Dietary Practices . 6 2.1.3. Beliefs . 7 2.1.4. Malnutrition . 8 2.1.5. Hygiene . 8 2.1. 6. Pregnancy . 9 2.1. 7 Conventional Scientific Knowledge . 9 2. 2. Conceptual Framework . 10 CHAPTER THREE RESEARCH METHODOLOGY . 11 3. 1. Research Strategy. 11 3. 2. Study Area . 12 3. 3. Sampling Methods . 14 3. 4. Research Methods . 15 3. 5. Data Sources . 15 3. 6. Ethical consideration . 19 3. 7. Time Scheduling. 19
Evaluation of New Properties of Calcined Magnetite Doped with Zinc and Lanthanum Nanoparticles Prepared in Oxygen and Nitrogen Atmospheres

The aim of the present research is the preparation of magnetite nanoparticles doped with Zn and La of the general formula ZnLa(x)Fe(3-x)O4 where x =0.0, 0.1, 0.15, 0.2, 0.25 and 0.3; which were prepared via co-precipitation method, separated and calcined at 800oC under oxygen and nitrogen atmospheres. The stoichiometric ratios of the elements in the given general formula had been proved and confirmed by elemental analyses using XRF. Various techniqueshave been used to analyze the prepared nanoparticles. X-ray diffraction (XRD) confirmed the formation of one single phase of nanoparticles components with average crystalline size ranged from 6 to 9 nm at oxygen atmosphere and from 6 to 8 at nitrogen atmosphere.These size values had been calculated by Debye-Scherrer equation. The optical properties carried out by Cary Eclipse fluorescence spectrophotometer.The morphology of the prepared magnetite nanoparticles was studied using field emission scanning electron microscope (FE-SEM) and high-resolution transmission electron microscope (HRTEM). Optical properties were demonstrated by UV–visible–NIR spectrophotometer. The high absorbance values of Zn La(x)Fe(3-x)O4 were found to 80-97 and 80-99 % in the visible wavelength range of 400-800 nm for the prepared samples in presence of O2 and N2 gas at room temperature, respectively. These proved the lower values of energy band gap in both conditions. The lowering of energy band gap of 1.89 eV for nanoparticles prepared in O2 gas and 1.78 eV for prepared in N2 gas in most samples may be attributed to incorporation of Zn cation. These results are confirmed by photo luminscence spectra (PL) measurements of the prepared samples. Magnetic properties of the given samples obtained from vibrating sample magnetometer (VSM);showed that most of these samples exhibited almost superparamagnetic behavior. These magnetic values (32.87 and 24.79 emu/g) infer super saturation magnetization of the given samples prepared in O2 and N2 gas at room temperature, respectively. Examination of the magnetic properties revealed decrease in saturation magnetization with increasing La ion concentrations incorporation up to x = 0.3. The evaluated magnetic and optical properties of the novel prepared ZnLa(x)Fe(3-x)O4nano-materials revealed their possible use in different industrial fields like bio-applications, in electronic components, cosmetics, antibacterial agents, and in solar cells. The antibacterial activity study of the prepared NPs revealed them highly efficient against different kinds of bacteria that increase with increase of La % doped in their entity.
Addressing the known limitations with BERT

Transformer-based models are now widely used in NLP, but we still do not understand a lot about their inner workings. This paper de-scribeswhatisknowntodateaboutthefamous BERT model (Devlin et al., 2019), synthesizing over 40 analysis studies. We also provide an overview of the proposed modiﬁcations to the model and its training regime. We then out-line the directions for further research.
Labor Dynamics and Supply Chain Disruption in Food Manufacturing

Food manufacturing and processing is an important link between agricultural producers and consumers in the agricultural supply chain. The food manufacturing sector in the United States is both increasingly mechanized and increasingly concentrated. Consequently, labor risks in food manufacturing have changed over time with changes in industry structure. Labor risks were highlighted by the COVID-19 pandemic - particularly in the animal slaughtering and processing industry - where labor-driven disruptions resulted in temporary plant closures. We use county-level data on employment in food manufacturing and dynamic panel models estimated via generalized method of moments to examine employment and wage dynamics in the food manufacturing sector and animal processing industry. We then compare forecasts from the estimated models with changes in food manufacturing and animal processing employment and wages during the onset of the COVID-19 pandemic. Our results provide insight into the role of operational and disruption risks in food manufacturing. We find significant delays in adjustment to employment and quicker adjustment in wages. Although there is an unanticipated drop in employment in food manufacturing and animal processing in April of 2020, employment returned to predicted levels within two to three months. The response of wages and employment to the COVID-19 pandemic suggest a degree of resilience in food supply chains.