Miracle-dz/UniFAR-FTUs huggingface dataset:
Photocatalytic degradation of anionic dye using well-crystalline SnWO4 polyoxometalate

Rose Bengal (RB) is well known anionic dye and considered as one of the major water pollutants. It can be hazardous to human and aquatic life. Polyoxometalates play major role for the decomposition of such type of pollutants. In this study, cubic tin tungsten oxide nanoparticles (β-SnWO4-NPs), a polyoxometalate, had been synthesized by sol-gel method and physically characterized by XRD, FT-IR, Raman, UV-DRS, PL, XPS, and SEM. Photocatalytic performance was evaluated by photodegradation of RB under visible light irradiation, and corresponding photodegradation mechanism was also proposed. The role of various reaction parameters such as catalyst amount, dye concentration and solution pH were investigated. Under given parameters the degradation percentage of RB was found to ∼94.6% after 150 min. The cubic crystal structure and honeycomb morphology of the β-SnWO4-NPs endows excellent photocatalytic properties. The radical scavenger investigations showed that photogenerated h+, O2 •−, and •OH radicals were responsible for RB degradation. The obtained results can be effectively used in future for the wastewater treatment.
Autonomous synthesis system integrating theoretical, informatics, and experimental approaches for large-magnetic-anisotropy materials

ABSTRACT We developed an autonomous and efficient system for synthesising ferromagnetic materials with large magnetocrystalline anisotropy by integrating theoretical, informatics, and experimental approaches. By combining the first-principles calculation of the magnetic anisotropy with Bayesian optimisation, we virtually screened candidate materials, comprising four elements and four-layer periods, from various magnetic multilayers. We employed the expected improvement as the acquisition function and Matern52 as the kernel function, to develop a robust machine learning model. We fabricated the top three predicted magnetic materials under laboratory conditions by monoatomic layer deposition and evaluated their magnetic anisotropy using a superconducting quantum interference device (SQUID). Ultimately, we demonstrated that [Fe/Co/Fe/Ni]13 is a novel ferromagnetic material whose magnetic anisotropy exceeds that of L10-FeNi- and L10-FeCo-type alloys. Furthermore, the origin of the perpendicular magnetic anisotropy was derived from the spin-conserving as well as the spin-flip terms. We determined that Bayesian optimisation offers promising configurability features in terms of the electronic structure that extend beyond the empirical knowledge and human intuition. Graphical abstract
Effect of calcination temperature on the structure and morphology of zinc oxide nanoparticles synthesized by base-catalyzed aqueous sol-gel process

This study reports the base-catalyzed aqueous sol-gel synthesis of zinc oxide nanoparticles. The solution was primarily comprised of zinc nitrate hexahydrate as a metal precursor, isopropyl alcohol and water as solvents, and glycerin as a stabilizing agent. The effect of calcination temperature on the structure and morphology of the prepared nanoparticles was investigated by varying the calcination temperature from 500 to 900 °C. The X-ray diffraction analysis, infrared spectroscopy, thermogravimetric analysis, and field emission scanning electron microscopy were employed to determine the crystal structure, surface functional groups, thermal stability, and surface morphology of the nanoparticles. The particle size was found to be directly proportional to the calcination temperature.
A COMPACT COUPLING STRUCTURE FOR DIPLEXERS AND FILTERING POWER DIVIDERS

This paper presents a compact and novel coupling structure for diplexers and power dividers based exclusively on coupled resonators. It consists of two cross-coupled structures joined together by two common resonators with a cluster of only four resonators. For a diplexer, it represents one of the most compact topologies that produces two 2nd-order channel filters with two fully controllable transmission zeros. This can be used to increase the rejection and isolations between channels without increasing the number of resonators. The same topology can also be used to realise a 3rd-order filtering power divider (FPD), with its embedded cascade trisection (CT) structure generating an asymmetric transmission zero. The coupling matrices of several diplexers and power dividers have been synthesized. Two microstrip diplexers with different positions of the transmission zeros have been demonstrated to verify the device concept. A 1.8 GHz FPD with a fractional bandwidth of 5% has also been prototyped, showing an improved out-of-band rejection from 15 dB to 25 dB below 1.71 GHz. The isolation performance of the divider has been investigated and improved from 7 dB to 18 dB across the band by adding only one resistor.
Corporate Social Responsibility Disclosure, Market Supervision, and Green Investment

ABSTRACT As a crucial business practice, corporate social responsibility (CSR) has attracted the attention of companies and market participants worldwide. This study examines the effects of CSR disclosure on green investment and analyses whether effects vary during China’s stock market crash. The results reveal a mismatch between green investment and CSR disclosure and that the market supervisions act as a moderator. Furthermore, we observe that the nature of CSR disclosure as a self-interested tool becomes highly pronounced during extreme risk events. This observation suggests that a company facing downside market risk will compromise many of its environmental performances. Accordingly, we propose improved measures for regulators and investors in response to the gap between CSR disclosure and actual environmental performance.
Evaluasi Pembelajaran BTHQ Kibar di Masa Pandemi Covid-19 di SMP Mugadeta Muhammadiyah 3 Depok

The covid-19 pandemic made the learning process, especially BTHQ learning done remotely. This can make the ability of learners affected. In this case, tentors or educators in this BTHQ activity play an important role in improving and developing cognitive value skills in learners under any circumstances. Therefore, every educator must have a high level of desire so that the implementation of BTHQ in the Covid-19 pandemic can run properly and can improve cognitive abilities in learners. This study aims to identify the extent of the role of educators in evaluating BTHQ Kibar in learners during the covid-19 pandemic and to find out what factors affect the cognitive ability of learners in BTHQ kibar activities during the covid-19 pandemic so that the BTHQ learning process (Read Quran Memorization) can continue. In research using a qualitative descriptive approach, i.e. the data collected in the form of words, images, and not numbers. The results showed that BTHQ activities provide knowledge, understanding, how to read well using the letter makharijul, provide advice or motivation for children to follow BTHQ in a timely manner, provide punishment that educates learners, and conduct evaluations after BTHQ activities.
Perception Coherence Zones in Vehicle Simulation

A perception coherence zone (PCZ) designates the range of inertial motion levels that, although not being a one-to-one match with the visual motion levels, are still considered by the subjects as being part of a coherent movement. Two types of PCZs were studied: amplitude PCZs and phase PCZs. Amplitude and phase coherences zones were measured for different types of stimulus frequency and amplitudes, for different degrees-of-freedom and using different motion simulators. The resulting data were compiled and it was demonstrated how perception coherence zones can be used to assess motion cueing solutions, and to derive motion cueing criteria. The coherence zones criteria were shown in a modified Sinacori plot. In a Sinacori plot, motion criteria are represented in terms of acceptable motion gain and phase distortion at the frequency of 1 rad/s. Since coherence zones were measured at different frequencies and amplitudes, it was possible to expand that representation to different frequencies and amplitudes. The coherence zone assessment method and criteria provide three important additions to the already available criteria. First, it presents not only criteria for desirable motion stimuli, but also offers a systematic, objective, human-perception-based method to measure the limits of the criteria. Second, the coherence zones method and criteria add a third and fourth dimension to the Sinacori plot: frequency and amplitude. By doing so, the coherence zone criteria do not depend on a specific motion filter structure. Third, by offering a measurement method and allowing different frequencies and amplitudes to be chosen, the coherence zones method can provide simulator-based, task-specific criteria. However, coherence zones as a metric, that is, as a measure of the perceived coherence of the inertial feedback provided, is platform and task independent.
Identification and Classification of Slippery Winter Road Conditions using Commonly Available Vehicle Variables

Extreme winter weather conditions severely affect the transportation sector. Technologies such as Road Weather Information Systems provide live data on the road surface conditions to assist the road authorities in providing safe mobility. The main problem is, however, the limited number of such systems that have been deployed, resulting in fragmented information about road conditions. This paper addresses the problems associated with the limited quantity of information concerning slippery winter road conditions by presenting a proof-of-concept for a system that not only detects slippery winter road conditions, but also predicts the type of slippery surface (ice, snow and slush) via vehicle-based systems. The concept demonstrated in this paper makes use of commonly available variables, which are, longitudinal slip ratios, longitudinal acceleration and the ambient temperature to identify such situations. The developed system employs a Fuzzy Inference System that is not only capable of identifying slippery conditions but is also capable of classifying surfaces based on the extent of slipperiness. This provides the road authorities with several moving sensors (vehicles traveling on a particular road) compared with the few fixed sensors currently available. This could deliver a pool of information to assist the road authorities to efficiently handle their staff and equipment so that appropriate equipment reaches the right place at the right time.
Analysis of Types of Skin Lesions and Diseases in Everyday Infectious Disease Practice—How Experienced Are We?

Rashes and skin lesions are a common reason for patient visits to emergency departments and physicians’ offices. The differential diagnosis includes a variety of infectious and non-infectious diseases, some of which can be life-threatening. The aim of this retrospective study was to evaluate the quantity and type of skin lesions among outpatients and inpatients at a tertiary care university-affiliated teaching hospital for infectious diseases over a three-year period to assess disease burden and physicians’ experience in diagnosing skin lesions. Diagnoses (by ICD-10 codes) were classified into three groups: infectious diseases that include skin lesions, non-infectious skin lesions and undiagnosed skin lesions. During the observed period, out of the total of 142,416 outpatients, 14.8% presented with some form of skin lesion. Among them, 68% had skin lesions inherent to infectious disease, 10.8% suffered from non-infectious skin lesions and 21.2% remained with undiagnosed skin lesions. The most common infectious diagnoses were chickenpox, herpes zoster and unspecified viral infections characterized by skin and mucous membrane lesions. The most common non-infectious diagnoses were urticaria and atopic dermatitis. Overall, the most common individual diagnosis (ICD-10 code) was “nonspecific skin eruption” (n = 4448, 21.1%), which was followed by chickenpox and herpes zoster. Among the 17,401 patients hospitalized over the observed period, 13.1% had skin lesion as the main reason for hospitalization, almost all (97.5%) of which were infectious in etiology. The most common diagnoses were cellulitis, erysipelas and herpes zoster. The presented data suggest that the burden of diseases presenting with skin lesions is significant in everyday infectious disease practice, but the overwhelming number of undiagnosed patients implies the need for further education in this area.
A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder

A systematic review on electroencephalographic (EEG)-based feature extraction strategies to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is presented. The analysis is realized at an executive function level to improve the research of neurocorrelates of heterogeneous disorders such as ADHD. The Quality Assessment Tool for Quantitative Studies (QATQS) and field-weighted citation impact metric (Scopus) were used to assess the methodological rigor of the studies and their impact on the scientific community, respectively. One hundred and one articles, concerning the diagnostics and therapy of ADHD children aged from 8 to 14, were collected. Event-related potential components were mainly exploited for executive functions related to the cluster inhibition, whereas band power spectral density is the most considered EEG feature for executive functions related to the cluster working memory. This review identifies the most used (also by rigorous and relevant articles) EEG signal processing strategies for executive function assessment in ADHD.
Sparse feature convolutional neural network with cluster max extraction for fast object classification

– We propose the Sparse Feature Convolutional Neural Network (SFCNN) to reduce the volume of convolutional neural networks (CNNs). Despite the superior classification performance of CNNs, their enormous network volume requires high computational cost and long processing time, making real-time applications such as online-training difficult. We propose an advanced network that reduces the volume of conventional CNNs by producing a region-based sparse feature map. To produce the sparse feature map, two complementary region-based value extraction methods, cluster max extraction and local value extraction, are proposed. Cluster max is selected as the main function based on experimental results. To evaluate SFCNN, we conduct an experiment with two conventional CNNs. The network trains 59 times faster and tests 81 times faster than the VGG network, with a 1.2% loss of accuracy in multi-class classification using the Caltech101 dataset. In vehicle classification using the GTI Vehicle Image Database, the network trains 88 times faster and tests 94 times faster than the conventional CNNs, with a 0.1% loss of accuracy.
Menstrual Cycle: Evaluation of Hematological Changes

Introduction: Literature suggests that menstrual cycle is associated with inflammatory process and with complete blood count (CBC) and hemostatic changes.The aim of this study was to investigate whether CBC, surface platelet markers, platelets-leukocytes aggregates (PLA) and plasma levels of D-Di, PAI-1 and FVIII are able to clarify the hematological changes during menstruation and in the middle day of the menstrual cycle, as well as the influences of the use of combined oral contraceptives (OC) and the age of the woman on this process. Methods: 46 women were evaluated, including young non-combined OC users (Young = 16), young combined OC-users (Young-OC = 20) and >42 years-old non-combined OC users (Woman = 10). CBC was carried out semi-automatically, surface platelet markers and PLA were analyzed by flow cytometry and coagulation and fibrinolysis markers by ELISA. Results: Neutrophil count, platelet activation and plasma levels of D-Di have variation depending on the menstrual cycle. Neutrophil count, platelet activation, PLA, plasma levels of D-Di, and PAI-1 are influenced by the use of combined OC. Platelet count and PAI-1 serum levels are influenced by age of the woman. There are positive correlations among platelet count, platelet surface markers, PLA, coagulation cascade and fibrinolysis whose intensity depends on menstrual cycle phase, combined OC use and woman's age. Conclusions: Menstrual cycle was associated to modifications in hematological components due to hormonal participation. OC use and age seem to be associated to hypercoagulable status .
Development of Co-Simulation Environment and Mapping Algorithms

This work develops a co-simulation software environment to solve general multiphysics problems. Its advantage is that the users can set up arbitrary co-simulation scenarios. The thesis also focuses on the mapping algorithms for both surface meshes and beam elements. Nearest element interpolation, standard mortar method and dual mortar method are studied and compared. A new co-rotating mapping algorithm is developed for nonlinear beam elements with large displacements and rotations.
EOG-Based Human–Computer Interface: 2000–2020 Review

Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology influencing physical medicine, daily life, gaming and even the aeronautics field. EOG-based BCI systems record activity related to users’ intention, perception and motor decisions. It converts the bio-physiological signals into commands for external hardware, and it executes the operation expected by the user through the output device. EOG signal is used for identifying and classifying eye movements through active or passive interaction. Both types of interaction have the potential for controlling the output device by performing the user’s communication with the environment. In the aeronautical field, investigations of EOG-BCI systems are being explored as a relevant tool to replace the manual command and as a communicative tool dedicated to accelerating the user’s intention. This paper reviews the last two decades of EOG-based BCI studies and provides a structured design space with a large set of representative papers. Our purpose is to introduce the existing BCI systems based on EOG signals and to inspire the design of new ones. First, we highlight the basic components of EOG-based BCI studies, including EOG signal acquisition, EOG device particularity, extracted features, translation algorithms, and interaction commands. Second, we provide an overview of EOG-based BCI applications in the real and virtual environment along with the aeronautical application. We conclude with a discussion of the actual limits of EOG devices regarding existing systems. Finally, we provide suggestions to gain insight for future design inquiries.
In vitro probiotic and industrial properties of bacteria isolated from fermented food products

Probiotics are live microorganisms present in naturally fermented food products, and also added to other products as supplements to improve the hosts' health and microbial balance. Bacteria are considered as probiotics based on selection criteria that include the ability to survive the transition through the gastrointestinal tract conditions (pH and bile salt concentration), adhesion to the intestinal epithelium, auto-aggregation, and antibiotic resistance. The industrial properties of probiotic bacteria associated with their incorporation into food products are essential for the application of probiotic cultures in the development of functional foods. Probiotic bacteria must survive industrial applications, grow adequately in food products during their shelf life, and be technologically suitable for their incorporation into foods products so that they retain viability and efficacy. The antimicrobial activity of probiotic bacterial strains against foodborne pathogenic bacteria may also be a characteristic parameter for probiotics to be included in the composition of probiotic preparations and probiotic foods. This review discusses the in vitro and industrial properties of bacteria isolated from a variety of fermented food products.
HIGH-RESOLUTION EXPANDED VERY LARGE ARRAY IMAGE OF DIMETHYL ETHER (CH3)2O IN ORION–KL

We report the first subarcsecond (0.″65 × 0.″51) image of the dimethyl ether molecule, (CH3)2O, toward the Orion Kleinmann–Low nebula. The observations were carried at 43.4 GHz with the Expanded Very Large Array (EVLA). The distribution of the lower energy transition 61, 5–60, 6, EE (Eu = 21 K) mapped in this study is in excellent agreement with the published dimethyl ether emission maps imaged with a lower resolution. The main emission peaks are observed toward the Compact Ridge and Hot Core southwest components, at the northern parts of the Compact Ridge and in an intermediate position between the Compact Ridge and the Hot Core. A notable result is that the distribution of dimethyl ether is very similar to that of another important larger O-bearing species, the methyl formate (HCOOCH3), imaged at a lower resolution. Our study shows that higher spectral resolution (WIDAR correlator) and increased spectral coverage provided by the EVLA offer new possibilities for imaging complex molecular species. The sensitivity improvement and the other EVLA improvements make this instrument well suited for high sensitivity, high angular resolution, and molecular line imaging.
Mathematical Modeling of a Cross-Flow Rice Dryer with Grain Inverters

Industrial-scale cross-flow dryers are commonly equipped with grain inverters to improve the uniformity of drying across the column thickness. While a few mathematical models have been reported that include the operation of grain inverters, such models were rarely validated with experiments comprising grain inversions. In this study, a mathematical model was developed to evaluate the impact of grain inverters on the uniformity of grain moisture content (MC) across the column in cross-flow dryers. To improve the accuracy of model predictions, the impact of using two thin-layer drying equations, the Newton and modified Page equations, in the model was also investigated. An experimental setup was fabricated to simulate grain inversion, and drying experiments were performed to measure rice MC and air temperature across the column thickness, which were then compared with model-predicted values. When the modified Page equation was used in the model, the model predictions matched the experimental observations more closely than when using the Newton equation. The model successfully predicted grain and air properties when 0, 1, and 2 grain inversions were used; the root mean square error between predicted and measured values of rice MC and air temperature were within 0.1 to 0.2 percentage points and 1°C to 4°C, respectively. Grain inversions were shown to improve the uniformity of drying in rice kernels; in the tested drying conditions, a single grain inversion produced more uniform drying than two or more grain inversions in the column. The presented results demonstrate the usefulness of the developed model in investigating the role of grain inversion in cross-flow drying of rice. As such, the model could be readily used to improve dryer design, particularly the number and arrangement of grain inverters, and optimize rice drying operations.