Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitive detection of hydrochlorothiazide using Ce3+/NiO hexagonal nanoparticles modified glassy carbon electrode

The present research presented a novel modification approach for modifying a glassy carbon electrode on the basis of the Ce3+/NiO hexagonal nanoparticles (Ce3+/NiO hexagonal NPs/GCE). In so doing, we devised the new modified electrode for using as one of the sensitive sensors for detecting the trace amounts of hydrochlorothiazide. Moreover, it is an acceptable electrocatalyst for catalytic oxidation of hydrochlorothiazide by shifting the overpotential toward less positive potential and enhancing catalytic current in comparison to the bare GCE. In a concentration range 0.1 to 700.0 μM in a phosphate buffer solution (PBS) at a pH of 7.0, the responses were linear and hydrochlorothiazide detection limit for this method was 0.03 μM (S/N=3). Furthermore, this sensor successfully detected hydrochlorothiazide in hydrochlorothiazide tablets and urine samples with satisfactory recovery ranges, indicating a promising application in biological samples, pharmaceutical compounds analysis and clinical diagnosis.
Progression to the target vs. regular rules in Soccer small-sided Games

ABSTRACT Background This study compared the physical, physiological, and spatiotemporal responses of soccer athletes in small-sided games (SSG) in two experimental conditions: progression to the target rule (PG), in which they should take the ball to the opponent’s endline to score points, and SSG with regular rules (RG), in which they should score goals to win the game. Methods Twenty U-20 athletes played both SSG formats. The SSG were played as four 4-minute bouts with four minutes of passive recovery in two consecutive days. Heart rate, physical (distances and accelerations), and positional data (length, width, and spatial exploration) were collected by a 10 hz GPS device and compared between the protocols using a MANOVA with Bonferroni’s correction for multiple comparisons. Results Results showed that the RG condition demanded more spatial exploration eliciting greater occupation of the pitch width. There were higher mean and maximum heart rates and greater low-to-moderate distances and accelerations in the RG, while the PG rule increased the distances covered at the highest speed and acceleration zones. Conclusions The progression to the target rule should be adopted to emphasize players’ ability to use the width during the offensive phase. Additionally, the PG rule should also be used to emphasize the development of speed and acceleration skills.
Caregiver Perceptions of Child Participation in Sensory Friendly Community Events

ABSTRACT Children with disabilities, such as those with sensory processing differences or motor impairments, often have limited opportunities for community participation. Moreover, the degree to which caregivers perceive community spaces to be accessible and appropriate for their children can be a determining influence. This study evaluated caregiver perceptions of a “sensory friendly” event led by an urban university in partnership with a local children’s museum. Caregivers completed post-event surveys over a 12-month period. A total of 10 surveys (29% response rate) were completed, and questions were combined into a priori categories of interest for comparison. Results indicate that caregivers perceived child participation as significantly more favorable than many other aspects and interactions occurring during the event. In addition, mobility supports were significantly more favorable than modified sensory activities. Findings suggest that positive perceptions of child engagement in a modified community environment can decrease barriers to participation, however more research is warranted.
Joint Impact of Rain and Incidents on Traffic Stream Speeds

Unpredictable and heterogeneous weather conditions and road incidents are common factors that impact highway traffic speeds. A better understanding of the interplay of different factors that affect roadway traffic speeds is essential for policymakers to mitigate congestion and improve road safety. This study investigates the effect of precipitation and incidents on the speed of traffic in the eastbound direction of I-64 in Virginia. To the best of our knowledge, this is the first study that studies the relationship between precipitation and incidents as factors that would have a combined effect on traffic stream speeds. Furthermore, using a mixture model of two linear regressions, we were able to model the two different regimes that the traffic speed could be classified into, namely, free-flow and congested. Using INRIX traffic data from 2013 through 2016 along a 25.6-mi section of Interstate 64 in Virginia, results show that the reduction of traffic speed only due to incidents ranges from 41% to 75% if the road is already congested. In this case, precipitation was found to be statistically insignificant. However, regardless of the incident impact, the effect of light rain in free-flow conditions ranges from insignificant to a 4% speed reduction while the effect of heavy rain ranges from a 0.6% to a 6.5% speed reduction when the incident severity is low but has a roughly double effect when the incident severity is high.
Synthesis, antibacterial and antifungal evaluation of thio- or piperazinyl-substituted 1,4-naphthoquinone derivatives

ABSTRACT A series of S-, S,S-, S,O-, N- and N,S-derivatives from 2,3-dichloro-1,4-naphthoquinone compound 1 were synthesized in different reaction media and evaluated for their antibacterial and antifungal activities. The structures of the novel products were characterized by spectroscopic methods, such as microanalysis, 1H NMR, 13C NMR and MS. Among the tested compounds 9, 12 and 18 are the most effective compounds against Candida tenuis as potent antifungal compounds. Compound 9 is also the most effective compound against Staphylococcus aureus as a potent antifungal compound. GRAPHICAL ABSTRACT
Comparative Analysis of DFT+U, ACBN0, and Hybrid Functionals on the Spin Density of YTiO3 and SrRuO3

We present a quantitative analysis of the theoretical spin density map of two ferromagnetic perovskites, YTiO3 and SrRuO3. We calculated the spin density using the standard density functional theory (DFT)+U method, where the Hubbard U correction is applied to the Ti and Ru ions, and with the pseudo-hybrid ACBN0 method, where the Hubbard U parameters are determined self-consistently. The ACBN0 calculations yielded a large value of the Hubbard U of the oxygen 2p orbitals. We also used the screened hybrid HSE06 functional, which is widely used to describe the electronic structure of oxides. We used the Quantum Theory of Atoms in Molecules (QTAIM) theory and integrated the spin density in the atomic basins instead of projecting on atomic orbitals. This way, our results can be compared to experimental reports as well as to other DFT calculations.
A review on solution-processed perovskite/organic hybrid photodetectors

Both perovskites and organic semiconductors are promising candidates for next-generation portable and wearable photodetectors (PDs), owing to their facile solution processibility and remarkable optoelectronic features. In recent years, there has been growing interest in combining the two and constructing perovskite/organic hybrid PDs, which are demonstrated to present a broad photoresponse spectrum, high photoresponsivity and good environmental stability. Since great progress has already been made, a comprehensive summary would be very important for this field. However, this is still lacking. In this review, we provide a thorough progress report and in-depth discussion on the perovskite/organic hybrid PDs, from the very fundamental device operation principles to advanced design strategies. Firstly, the main parameters of the PD devices are introduced. Then, the developments of the perovskite/organic hybrid PDs, including photodiodes, photoconductors and phototransistors, are discussed in detail. Finally, current challenges are summarized and potential solutions are proposed.
RHEB methylation in white blood cell, a novel candidate marker for breast cancer screening

Aberrant DNA methylation of tumor surrounding stromal cells is one of epigenetic changes, partly caused by the secretion of tumor cells. Here, we searched the tumor-induced DNA methylation profile in white blood cells (WBCs) caused by the secretion of breast cancer cell, that will be possible marker for breast cancer screening. Using DNA methylation microarray, we identified aberrant DNA methylated genes from co-culture model between healthy controls peripheral blood mononuclear cells (PBMCs) with 3 breast cancer cell lines. From bioinformatics analysis, six methylated CpG sites in 3 validation genes were selected for preliminary test to determine the most effective CpG sites for detection in breast cancer patient WBCs using methylation-specific polymerase chain reaction (MSP). After test, the cg03998173 of RHEB was selected as a validation gene with the result of 100% sensitivity and 80% specificity. Later, this methylation marker determined in the WBCs from 200 breast cancer patients and 200 healthy controls by SYBR green-based real-time MSP (RT-MSP). The RHEB methylation were detected in WBCs from 188 (94%) breast cancer patients and 59 (29.50%) healthy controls with high sensitivity of 94% and specificity of 70.50% (P-value < 0.0001). In conclusion, tumor-induced DNA methylation in WBCs caused by the secretion of breast cancer cells can be effective tumor marker for breast cancer screening. The RHEB methylation is a new highly sensitive and specific tumor marker from DNA methylation change in white blood cells of breast cancer patient blood. Therefore, the RHEB methylation may be considered as a tumor marker for breast cancer screening.
Analysis of the Impact of Omitted Accidental Actions and the Method of Land Use on the Number of Construction Disasters (a Case Study of Poland)

As climate changes progress we are dealing with violent and excessive environmental actions. However, the impacts of loads acting on a building object caused by unlikely phenomena such as: fire, explosion, flood, vehicle impact, plane impact, excessive snowfall, and excess wind gusts are still being ignored when analyzing the structure of building objects in the combinatorics of loads. The paper presents a multi-criteria approach to accidental actions and analyzes design situations and load combinations in relation to accidental actions. The existing legal acts were used to define the concept of a construction disaster. The authors verified, on the basis of applicable legal acts and design guidelines, individual analysis strategies for ensuring the safety of building objects and divided them into consequence classes of structural damage. They collected and analyzed the number of construction disasters which occurred in Poland between 1995–2019 (25 years) based on the data from the General Office of Building Control. The number of disasters was divided by voivodeships and causes and supplemented with the data on the number of people injured. The article presents the direction of research development that could be undertaken in order to eliminate future catastrophes caused by the omission of the analysis of the impact of accidental actions at the design stage. Statistical analyses were carried out to show whether land use, population density, and weather factors (wind) affect the number of recorded disasters. It has been shown that regions that have preserved the sustainable development of their territories are less vulnerable to disasters resulting from extreme weather events.
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms

Minimizing energy consumption of concurrent applications on heterogeneous multi-core platforms is challenging given the diversity in energy-performance profiles of both the applications and hardware. Adaptive learning techniques made the exhaustive Pareto-optimal space exploration practically feasible to identify an energy efficient configuration. Existing approaches consider a single application's characteristic for optimizing energy consumption. However, an optimal configuration for a given application in isolation may not be optimal when other applications are run concurrently. Approaches that consider concurrent application scenarios overlook the weight of total energy consumption per application, restricting them from prioritizing among applications. We address this limitation by considering the mutual effect of concurrent applications on system wide energy consumption to adapt resource configuration at run-time. We characterize each application's power-performance profile as a weighted bias through off-line profiling. We infer this model combined with an on-line predictive strategy to make resource allocation decisions for minimizing energy consumption while honoring performance requirements. The proposed strategy is implemented as a user-space process and evaluated on a heterogeneous hardware platform of Odroid XU3 over the Rodinia benchmark suite. Experimental results show up to 61 percent of energy saving compared to the standard baseline of Linux governors and up to 27 percent of energy gain compared to state-of-the-art adaptive learning-based resource management techniques.
Strategi Pengembangan Program Pembelajaran Pendidikan Agama Islam Sekolah

The research objective is to describe the process of planning, implementing and controlling the development of Islamic religious education learning programs. The type of research used is qualitative with a case study approach. Data collection techniques using interviews, observation and documentation. informants who are the source of information are the principal, vice principal, curriculum assistant, religion teacher and extracurricular coaches. The results of the research are: 1) planning for the development of Islamic religious education learning programs can be seen in the form of learning tools or programs which include syllabus development, annual plans, semester programs and teaching preparation in the form of learning implementation plans which are based on a study of competency standards, basic competencies and indicators. which is determined based on content standards, competency standards for graduates of Islamic religious education subjects. 2) Implementation of developing learning programs, namely carrying out learning program development activities, following the applicable procedures in schools, namely by organizing and directing the development of learning programs with reference to intracurricular and extracurricular learning. This study also found that controlling the implementation of the learning program was carried out by evaluating student learning outcomes and monitoring class in intracurricular and extracurricular learning.
Recyclable polybutadiene elastomer based on dynamic imine bond

Catalyst-free recyclable polybutadiene (PB) elastomer cross-linked by dynamic imine bonds is prepared by the reaction between amine functionalized PB and aldehyde cross-linkers. The dynamic nature of imine bond is investigated by rheometry and creep-recovery experiments. The cross-linking degrees are regulated by incorporating different amount of aldehyde, and their influence on the cross-linked elastomers is investigated in detail. The temperature-induced imine exchange reactions enable recycling of the cross-linked PB elastomers and their mechanical properties are almost unchanged after several cycles. It is important to note that the elastomers also show excellent solvent resistance even at high temperature. The good mechanical properties, solvent resistance and recycling ability of the resultant PB elastomer demonstrate the superiority of the imine bonds in the design of recyclable polymers. © 2017 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2017, 55, 2011–2018
Effects of Applying Lactic Acid Bacteria and Molasses on the Fermentation Quality, Protein Fractions and In Vitro Digestibility of Baled Alfalfa Silage

Alfalfa sometimes cannot be harvested in time due to the rainy season. To improve the fermentation quality, protein quality and digestibility of alfalfa silage harvested late, Lactobacillus plantarum (LP) and molasses were applied in an actual production process in this study. Alfalfa harvested at the full bloom stage was ensiled with (1) distilled water (control), (2) 1 × 106 colony-forming units LP/g fresh matter, (3) 15 g molasses/kg fresh matter (M) or (4) LP + M (LPM) for 55 days. Alfalfa ensiled with LP and/or molasses showed significantly lower pH and ammonia nitrogen contents than the control silage (p < 0.05). All additive treatments decreased nonprotein nitrogen contents and preserved more true protein (p < 0.05). However, molasses increased the acid detergent insoluble nitrogen content in the protein fractions (p < 0.05). The LP significantly improved the maximal cumulative gas production and the maximum gas production rate (p < 0.05) in the in vitro trial. Finally, both LP and molasses improved the neutral detergent fiber digestibility of the alfalfa silage (p < 0.05). The LP and molasses improved fermentation quality and digestibility and preserved more true protein in baled alfalfa silage harvested late in an actual production process. The LP utilized the excessive molasses and partially ameliorated its negative effects of causing higher acid detergent insoluble nitrogen content.
Abnormally high water temperature prediction using LSTM deep learning model

Recently, abnormally high water temperature (AHWT) phenomena are occurring more often due to the global warming and its impact. These phenomena have damaged extensively to the maritime economy around the southern coast of Korea and caused an illness by exacerbating the propagation of Vibrio pathogens. To mitigate damages by AHWT phenomena, it is necessary to respond as quickly as possible or predict them in advance. In this study, therefore, we proposed a deep learning-based methodology to predict the occurrences of AHWT phenomena using the long short-term memory (LSTM) model. First, a LSTM model was trained using the satellite-derived water temperature data over the past ten years. Then, the water temperatures after a few days were estimated using the trained LSTM model. In a performance evaluation, when estimating water temperatures after one-day, the model achieved results of 1.865 and 0.412 in terms of mean absolute percentage error (MAPE) and root mean square error (RMSE), respectively. Second, we developed a decision algorithm based on the Markov state transition in order to predict the AHWT occurrence probability. As a result, we obtained 0.88 of F1 score for predicting AHWT phenomena after 1 day in case of the southern coast of Korea.
Dilute gas viscosity of n-alkanes represented by rigid Lennard-Jones chains

ABSTRACT The shear viscosity in the dilute gas limit has been calculated by means of the classical trajectory method for a gas consisting of chain-like molecules. The molecules were modelled as rigid chains made up of spherical segments that interact through a combination of site–site Lennard-Jones 12-6 potentials. Results are reported for chains consisting of 2, 3, 4, 6, 8, 12 and 16 segments in the reduced temperature range of 0.3–50 for site–site separations of 0. 25σ, 0.333σ, 0. 40σ, 0. 60σ and 0. 80σ, where σ is the Lennard-Jones length scaling parameter. The results were used to determine the shear viscosity of n-alkanes in the zero-density limit by representing an n-alkane molecule as a rigid linear chain consisting of nc − 1 spherical segments, where nc is the number of carbon atoms. We show that for a given n-alkane molecule, the scaling parameters ϵ and σ are not unique and not transferable from one molecule to another. The commonly used site–site Lennard-Jones 12-6 potential in combination with a rigid-chain molecular representation can only accurately mimic the viscosity if the scaling parameters are fitted. If the scaling parameters are estimated from the scaling parameters of other n-alkanes, the predicted viscosity values have an unacceptably high uncertainty.
Pulse Width Modulation Method Applied to Nonlinear Model Predictive Control on an Under-actuated Small Satellite

Among various satellite actuators, magnetic torquers have been widely equipped for stabilization and attitude control of small satellites. Although magnetorquers are generally used with other actuators, such as momentum wheels, this paper explores a control method where only a magnetic actuation is available. We applied a nonlinear optimal control method, Nonlinear Model Predictive Control (NMPC), to small satellites, employing the generalized minimal residual (GMRES) method, which generates continuous control inputs. Onboard magnetic actuation systems often find it challenging to produce smooth magnetic moments as a control input; hence, we employ the Pulse Width Modulation (PWM) method, which discretizes a control input and reduces the burden on actuators. In our case, the PWM approach discretizes control torques generated by the NMPC scheme. This study's main contributions are investigating the NMPC and the GMRES method applied to small spacecraft and presenting the PWM control system's feasibility.
Sensory cue, emotion, cognition and impulse buying behaviour of fast-food vendors in Ghana

Fast food vendors use a sensory cue to trigger impulsive buying behaviour. Though impulse buying has gained interestamong researchers, little has been done concerning food in Ghana. The purpose of the study was to investigate thecontribution of the sensory cue on customer’s emotions and cognition and impulsive buying behaviour. The study findsanswers to the succeeding research questions: what sensory cue impacts on consumer emotion and cognition? And doesemotion and cognition influence consumer’s impulsive buying behaviour. A proposed theoretical model identifies visual,audio, and tactile dimensions as the sensory cue, emotions, and cognitive as mediation variable and impulsive buyingbehaviour as the outcome. Data were collected from 241 customers who were residence in Tema and have patronizedthe services of food vendors for a minimum of two years using a convenience sampling technique. The suggestedhypothesis was tested using structural equation modeling and hierarchical multiple regression analysis. The result of thestudy shows that visual, audio, and tactile dimensions have a positive relationship with emotion but a negativerelationship with cognition. Regarding directs effect, the study revealed that there is a positive relationship betweenemotion and impulsive buying behaviour whiles cognition has a negative effect on impulsive buying behaviour. Thestudy recommended that managers must induce impulsive buying using characteristics of the food they serve and theenvironments in which they operate to stimulate customers' arousal and pleasure and provide enough information toalleviate the risk customers consider before buying food. The findings may not be generalized since the data wascollected in specific areas in Tema. Citation: Edward Markwei Martey, Racheal Markwei Martey and Kingsford Adenutsi. The influence of sensory cue onemotion, cognition and impulse buying behaviour of fast-food vendors in Ghana, 2020; 5(4): 12－29. Received: October 23, 2020Accepted: December 31, 2020