Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics

Simple Summary The toxicogenomic approach has gained increased attention for understanding key molecular events within organisms to deal with exposure conditions. However, finding relevant biomarkers to predict toxicity still remains a challenging task. In this study, we investigated machine learning applications as a tool to aid toxicity prediction and gene ranking method by training eight different standard supervised machine learning classifiers with qPCR gene expression data. We have shown that the toxicogenomic approach can benefit greatly from machine learning to identify unique expression profiles and predict toxicity, as well as visualization of genes by using Shapley values. Abstract Zinc (Zn) is an essential element that influences many cellular functions. Depending on bioavailability, Zn can cause both deficiency and toxicity. Zn bioavailability is influenced by water hardness. Therefore, water quality analysis for health-risk assessment should consider both Zn concentration and water hardness. However, exposure media selection for traditional toxicology tests are set to defined hardness levels and do not represent the diverse water chemistry compositions observed in nature. Moreover, these tests commonly use whole organism endpoints, such as survival and reproduction, which require high numbers of test animals and are labor intensive. Gene expression stands out as a promising alternative to provide insight into molecular events that can be used for risk assessment. In this work, we apply machine learning techniques to classify the Zn concentrations and water hardness from Daphnia magna gene expression by using quantitative PCR. A method for gene ranking was explored using techniques from game theory, namely, Shapley values. The results show that standard machine learning classifiers can classify both Zn concentration and water hardness simultaneously, and that Shapley values are a versatile and useful alternative for gene ranking that can provide insight about the importance of individual genes.
Sustainable mechanism to popularise round the clock indoor solar cooking – Part II: workable solution

ABSTRACT Solar cooking is one of the significant applications of solar thermal conversion systems. In some of the developing countries of Asia and Africa, firewood was the only cooking option. Hence, outdoor solar cookers have gained popularity in such places due to household air pollution caused by the former. With the onset of urbanization, few developing countries have adopted kerosene, coal, and liquified petroleum gas in place of firewood, which in turn leads to the emission of harmful gases in the kitchen. On the other side, solar cooking has poor social acceptance in developed countries as it is an outdoor activity i.e. under the sun. Hence, a detailed review concerning the outdoor (in general) and indoor (in specific) solar cookers have been presented in part I of this paper: “Sustainable mechanism to popularize round-the-clock indoor solar cooking – Part I: Global status. ” It reveals the importance of indoor solar cooking and the dearth of relevant experimental and numerical studies. Such a system is also essential to popularize solar cooking in developed countries (wherein electric cookers have already gained momentum). Hence, the present study proposes a passive indoor solar cooking system that can perform round-the-clock indoor cooking. The hypothesis of the proposed passive indoor solar cooking system, which is based on a coupled natural circulation system, is experimentally investigated with relevant assumptions. It yields the desired output and can perform efficiently without heat input, replicating off-sunshine hour cooking. Later, the experimental results are used to validate a numerical model (Ansys Fluent), which is further extended to replicate a practical system. Upon defining the appropriate boundary conditions, the numerical results depicted repetitive boiling (1 l of water for nine times) in the time range of 680–1500 s with heat load (daytime operation) and 700–1000 s without heat load (replicates off-sunshine hour cooking). Thus, the focused design is quite feasible, and with further recommendations being invoked, the evolution of a sustainable mechanism for round-the-clock indoor solar cooking is apparent. GRAPHICAL ABSTRACT
Vascularization of a Bone Organoid Using Dental Pulp Stem Cells

Bone organoids offer a novel path for the reconstruction and repair of bone defects. We previously fabricated scaffold-free bone organoids using cell constructs comprising only bone marrow-derived mesenchymal stem cells (BMSCs). However, the cells in the millimetre-scale constructs were likely to undergo necrosis because of difficult oxygen diffusion and nutrient delivery. Dental pulp stem cells (DPSCs) are capable of differentiating into vascular endothelial lineages and have great vasculogenic potential under endothelial induction. Therefore, we hypothesized that DPSCs can serve as a vascular source to improve the survival of the BMSCs within the bone organoid. In this study, the DPSCs had greater sprouting ability, and the proangiogenic marker expressions were significantly greater than those of BMSCs. DPSCs were incorporated into the BMSC constructs at various ratios (5%–20%), and their internal structures and vasculogenic and osteogenic characteristics were investigated after endothelial differentiation. As a result, the DPSCs are differentiated into the CD31-positive endothelial lineage in the cell constructs. The incorporation of DPSCs significantly suppressed cell necrosis and improved the viability of the cell constructs. In addition, lumen-like structures were visualized by fluorescently labelled nanoparticles in the DPSC-incorporated cell constructs. The vascularized BMSC constructs were successfully fabricated using the vasculogenic ability of the DPSCs. Next, osteogenic induction was initiated in the vascularized BMSC/DPSC constructs. Compared with only BMSCs, constructs with DPSCs had increased mineralized deposition and a hollow structure. Overall, this study demonstrated that vascularized scaffold-free bone organoids were successfully fabricated by incorporating DPSCs into BMSC constructs, and the biomimetic biomaterial is promising for bone regenerative medicine and drug development.
A BASIC CONVERGENCE RESULT FOR CONFORMING ADAPTIVE FINITE ELEMENTS

We consider the approximate solution with adaptive finite elements of a class of linear boundary value problems, which includes problems of "saddle point" type. For the adaptive algorithm we assume the following framework: refinement relies on unique quasi-regular element subdivisions and generates locally quasi-uniform grids, the finite element spaces are conforming, nested, and satisfy the inf–sup conditions, the error estimator is reliable as well as locally and discretely efficient, and marked elements are subdivided at least once. Under these assumptions, we give a sufficient and essentially necessary condition on marking for the convergence of the finite element solutions to the exact one. This condition is not only satisfied by Dorfler's strategy, but also by the maximum strategy and the equidistribution strategy.
Broken Promises Marketing. Relations, Communication Strategies, and Ethics of Video Game Journalists and Developers: The Case of Cyberpunk 2077

Cyberpunk 2077 's negative reception stood in striking contrast to the pre-release hype around the video game built by the producer's marketing campaign and the gaming press. This study examines a selection of gaming websites, to consider their pre-release Cyberpunk 2077 coverage and the discrepancies between these early reports and the released game. Using inductive conventional content analysis, framed as thematic analysis, 148 press articles were investigated divided into nine subcategories, and three categories. These articles told an almost exclusively positive narrative, promising great performance and features. The uncritical reception of publisher information by journalists allows the authors to propose the notion of “broken promises marketing”. The article contextualizes this term in the gaming ecosystem, arguing that over-optimistic marketing is amplified through features of the online press ecology. Finally, the results are considered from a business ethics perspective, with a set of communications recommendations for both journalists and game publishers.
Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network Based on ConvLSTM and BiConvLSTM Architectures

The electrification of transport has proved to be a breakthrough to uplift the sustainable and eco-friendly platform in the global sector in which electric vehicles (EVs) are considered indispensable. In particular, creating intelligent energy management in the power distribution system integrated with electric vehicle charging stations (EVCS) as a new entity is one of the most important challenging tasks. The implementation of the EVCS network infrastructure should facilitate the adoption of the spatiotemporal electricity demand for EVs. The intelligent decision for the transmission, distribution, energy allocation and charging station placement by the control center or central aggregator is only possible by correctly forecasting its usage, occupancy, and energy or charging demand. Techniques like data analytics have enabled to extract data from the EVCS on a daily basis to store and process all the recorded data. To overcome the above-mentioned challenges related to energy demand forecasting for EVCS network, this work proposes two encoder-decoder models based on convolutional long short-term memory networks (ConvLSTM) and bidirectional ConvLSTM (BiConvLSTM) in combination with the standard long short-term memory (LSTM) network. Data on energy demand from EVCS located in four different cities is used in the proposed models. All datasets are preprocessed to make them suitable for the multi-step time-series learning models in order to make the framework data-centric. The suggested architectures are built on the ConvLSTM and BiConvLSTM to extract the key features from the spatiotemporal data of the energy demand data of the EVCS distributed over the time and space. The predicted outcomes generated by the suggested strategy are compared with conventional deep learning models and traditional machine learning techniques.
Revealing Unconventional Properties of a Spin-Orbit Coupled Bose-Einstein Condensate from Collective Dipole Oscillation

Interaction between matter field and gauge field plays a fundamental role in many areas of physics. Recently, a non-abelian gauge field has been successfully synthesized in laboratory for ultracold neutral bosonic atoms, yielding the coupling between the pseudo-spin of an atom and its orbital motion. This new superfluid has many unconventional properties remaining to be explored. Here we study the collective oscillation of a spin-orbit coupled Bose-Einstein condensate in a harmonic trap. We find that the frequency of dipole oscillation deviates from the harmonic trap frequency and depends on the oscillation amplitude. Such an unharmonic behavior reveals the nonabelain character of the gauge field. We also observe that a magnetization oscillation is induced by the dipole motion, as a manifestation of the absence of the Galilean invariance of this system. We develop a variational wave-function method that well describes the dipole oscillation, except in the regime with two degenerate single-particle energy minima separated by a low barrier. In this regime, since the harmonic trapping potential plays an analogous role as kinetic energy in a real-space double-well potential, macroscopic quantum tunneling in momentum space is observed in the dipole oscillation.
Modified Lorentz and Gauss Equations to Describe the Dielectric Behaviour of Sr1-2xNaxNdxBi4Ti4O15 Normal Ferroelectric Compounds

Modified Lorentz and Gauss equation is proposed to describe the temperature dependence of dielectric constant for bismuth layered structure ferroelectric materials i.e. Sr1-2xNaxNdxBi4Ti4O15. The validity of the proposed equation was checked from the regression value obtained. The activation energy for orientation of dipoles, static dielectric constant and infinite dielectric constant obtained from the non linear curve fitting to experimental data by using modified Lorentz and Gauss equation have reasonable values. Modified Lorentz equation is found to be the best fit to the experimental dielectric data. The above modified equations may also be used to describe the dielectric behaviour of other normal ferroelectric materials which show sharp transitions.
A case of feline gastrointestinal eosinophilic sclerosing fibroplasia associated with fungal colonisation: endoscopic features, treatment and follow-up

Case summary A 5-year-old castrated male domestic shorthair cat presented with a 3-month history of weight loss, chronic diarrhoea and vomiting. Examination revealed a large proximal duodenal lesion eventually diagnosed as feline gastrointestinal eosinophilic sclerosing fibroplasia (FGESF) associated with fungal filaments. Histological examination was performed following endoscopic biopsy. Direct examination and mycological culture of the duodenal biopsies revealed the presence of a siphomycetous fungus, which was further identified as Rhizopus microsporus. Treatment with prednisolone and ciclosporin for 3 months led to complete resolution of the clinical signs and marked improvement of the endoscopic lesions. Specific fungal treatment with amphotericin B was poorly tolerated. Relevance and novel information To the best of our knowledge, this is the first report of the characterisation of a siphomycetous fungus associated with FGESF lesions, and the first endoscopic description and diagnosis of FGESF without surgical biopsies. We hypothesise that the presence of R microsporus occurred because of disrupted mucosal integrity.
A test strategy for spurious spatial regression, spatial nonstationarity, and spatial cointegration

A test strategy consisting of a two-step Lagrange Multiplier test is suggested as a device to reveal spatial nonstationarity and spurious spatial regression. It is further illustrated how the test strategy can be used as a diagnostic for presence of a spatial cointegrating relationship between two variables. Using Monte Carlo simulations it is shown that the small-sample behaviour of the test strategy is as desired in these cases. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.
Factors Influencing Fresh Food Purchase Intention at Online Store on E-marketplace – A Mediation Effect of Online Trust in Store

E-marketplaces are tangible manifestations of the development of technology and communication. Unlike in the past when people tended to be skeptical of buying products online, nowadays some e-marketplace sites have recorded dramatic numbers of visitors. The COVID-19 pandemic also encourages an increase in online purchase activities. Today's online sellers also sell fresh food products such as fruit and vegetables in their online store on the e-marketplace. This becomes interesting to study considering the commonly believed risk of getting not-so-fresh products with the fact that fresh food’s quality might deteriorate while in transit. Based on the Theory of Planned Behavior (TPB), this quantitative study with convenience sampling is to determine the impact of three major predictors of the theory on the intention to purchase fresh food products at online stores on e-marketplaces. Besides, online trust in store (OTIS) is used to mediate the two constructs of subjective norm (online review and peer communication) on purchase intention. Through responses from 228 respondents from Indonesia, analyzed using PLS-SEM, findings indicate that subjective norms and perceived behavioral control have no significant influence on purchase intentions. It was also found that OTIS was successful in mediating the two constructs of subjective norm on purchase intention.
Instructional Leadership, Differentiated Instruction, Community of Practice, and Student Wellbeing: Based on the Perspective of the Principal Strengthening Training Policy

This study aimed to examine the relationship between the principal's instructional leadership, differentiated instruction, community of practice, and student wellbeing. This study uses multiple regression analysis with the consistent PLS. The results showed that instructional leadership has a positive relationship with differentiated instruction and a community of practice. Differentiated instruction and community of practice have a positive relationship with student wellbeing.
Path loss models with distance-dependent weighted fitting and estimation of censored path loss data

Path loss models are the most fundamental part of wireless propagation channel models. Path loss is typically modelled as a (single-slope or multi-slope) power-law dependency on distance plus a log-normally distributed shadowing attenuation. Determination of the parameters of this model is usually done by fitting the model to results from measurements or ray tracing. The authors show that the typical least-square fitting to those data points is inherently biased to give the best fitting to the link distances that happen to have more evaluation points. A weighted fitting method is developed that emphasises the accuracy at the distance range that is consciously chosen by the user as most important for a system simulation. As a further important point that is typically not taken into account for path loss parameter extraction, the authors show that typically measurement data (but also ray tracing) is censored, i.e. path loss values above a certain threshold cannot be measured. The authors present examples of weighted fitting models, and models with and without the censored data, for 28 GHz channels in urban macrocells, and show that these effects have a significant impact on the extracted parameters and that the fitting accuracy can be improved with the presented methods.
Broadband feed antenna design

This thesis describes the development of a log-periodic waveguide feed antenna from concept to design and finally to prototyping and testing. An electromagnetic simulator (CST) was used to evaluate different design concepts and a design based on a nested coaxial waveguide structure was selected. A design was developed that included a common excitation structure for all the waveguides and an aperture matching structure that scales periodically with frequency. In the design, each waveguide has a bandwidth ratio of 2:1 and the total bandwidth of the design is 1 GHz to 8 GHz. A physical model was created using the SolidWorks design software and a prototype was manufactured and tested. Simulation results were in good agreement with the experimental results over the majority of the antenna’s bandwidth. The antenna design had good farfield patterns across most of the antenna’s bandwidth with frequency-specific farfield issues. The return loss of the antenna varied greatly with frequency, being greater than 2 dB across the entire bandwidth of the antenna and greater than 6 dB for the majority of the bandwidth of the antenna. There were significant difficulties in achieving a good return loss at the aperture which limited the return loss of the antenna. This work demonstrates the potential of employing a nested coaxial waveguide structure for wideband feed applications.
Creatine Supplementation Alleviates Fatigue after Exercise through Anti-Inflammatory Action in Skeletal Muscle and Brain

Eccentric exercise induces muscle damage and inflammation, resulting in a state of reduced physical activity with muscle dysfunction and a feeling of tiredness after exercise. Creatine is known to act as an energy buffer, but it has also been suggested to exert inhibitory effects on muscle damage and peripheral inflammation. The purpose of this study was to test the hypothesis that creatine supplementation alleviates fatigue after eccentric exercise and to explore the mechanism of this effect. C57BL/6J mice were fed an AIN-93G-formulated control diet or a creatine-containing diet for 6 days and were then subjected to downhill running, a model of eccentric exercise, to assess the effects on the total creatine concentrations in skeletal muscle and brain tissue, spontaneous activity, the urine concentration of titin N-fragment, and inflammatory gene expression. The results showed that creatine supplementation significantly increased the total creatine concentrations in skeletal muscle and brain tissue. Furthermore, spontaneous activity significantly decreased after downhill running and creatine supplementation maintained a significantly higher level of spontaneous activity. In addition, creatine supplementation significantly suppressed the downhill-running-induced increase in the mRNA expression of genes encoding ICAM-1, E-selectin, CD18, and BKB1R in the soleus muscle and IL-1β in the hypothalamus. On the other hand, creatine supplementation did not clearly influence the urine concentration of titin N-fragment. These results indicate that creatine supplementation may alleviate fatigue after eccentric exercise by partially suppressing inflammation in slow-twitch skeletal muscle and brain tissue.
Research on Weakly Nonlinear Stability of Moving Jet Containing Suspended Solid Particles

By means of the K-B method, which is widely used in nonlinear mechanics, a phase-coupled model is adopted to derive the weakly nonlinear stability equation of moving inviscid Top-Hat jet flow containing suspended solid particles. 2nd-order and 3rd-order stability curves of the flow-field for different velocities of jet device and particle properties are obtained through numerical computation. The effects of the motion of jet device and particle properties on the stability of the flow-field are gotten on the basis of the analyses of the obtained stability curves. It is found that the positive velocity of jet device makes 2nd-order amplification factor and wave velocity increase, and makes 3rd-order amplification factor and wave velocity decrease, but the effect of the negative velocity is contrary. Additionally, particles existing in the flow-field make 2ndorder and 3rd-order wave velocities increase, 2nd-order and 3rd-order amplification factors of axisymmetric disturbance decrease, 2nd-order and 3rd-order amplification factors of asymmetric disturbance with small wave number increase, 2nd-order and 3rd-order amplification factors of asymmetric disturbance with large wave number decrease, and these effects enhance with the increase of particle volume fraction and with the decrease of particle equivalent Stokes number.
A Novel Closed-Loop Control to Solve Light Source Power Fluctuations in the Fiber-Optic Gyroscope

The performance of a gyroscope is directly affected by the fluctuations in the light source power (LSP) in an interferometric fiber-optic gyroscope (IFOG). Therefore, it is important to compensate for fluctuations in the LSP. When the feedback phase generated by the step wave completely cancels the Sagnac phase in real-time, the error signal of the gyroscope is linearly related to the differential signal of the LSP, otherwise, the error signal of the gyroscope is uncertain. Herein, we present two compensation methods to compensate for the error of the gyroscope when the error is uncertain, which are double period modulation (DPM) and triple period modulation (TPM). Compared with the TPM, DPM has better performance, but it increases the requirements for the circuit. TPM has lower requirements for the circuit and is more suitable for small fiber- coil applications. The experimental results show that, when the frequency of the LSP fluctuation is relatively low (1 kHz and 2 kHz), DPM and TPM do not differ significantly in terms of performance; both of them can achieve an improvement of about 95% in bias stability. When the frequency of the LSP fluctuation is relatively high (4 kHz, 8 kHz and 16 kHz), DPM and TPM can achieve about 95% and 88% improvement in bias stability, respectively.