Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Multi-Objective Optimization with Automatic Construction of Parallel Algorithm Portfolios

It has been widely observed that there exists no universal best Multi-Objective Evolutionary Algorithm (MOEA) dominating all other MOEAs on all possible Multi-Objective Optimization Problems (MOPs). In this work, we advocate using the Parallel Algorithm Portfolio (PAP), which runs multiple MOEAs independently in parallel and gets the best out of them, to combine the advantages of different MOEAs. Since the manual construction of PAPs is non-trivial and tedious, we propose to automatically construct high-performance PAPs for solving MOPs. Specifically, we first propose a variant of PAPs, namely MOEAs/PAP, which can better determine the output solution set for MOPs than conventional PAPs. Then, we present an automatic construction approach for MOEAs/PAP with a novel performance metric for evaluating the performance of MOEAs across multiple MOPs. Finally, we use the proposed approach to construct an MOEAs/PAP based on a training set of MOPs and an algorithm configuration space defined by several variants of NSGA-II. Experimental results show that the automatically constructed MOEAs/PAP can even rival the state-of-the-art multi-operator-based MOEAs designed by human experts, demonstrating the huge potential of the automatic construction of PAPs in multi-objective optimization.
Transcriptome Analysis Reveals the Stress Tolerance Mechanisms of Cadmium in Zoysia japonica

Cadmium (Cd) is a severe heavy metal pollutant globally. Zoysia japonica is an important perennial warm-season turf grass that potentially plays a role in phytoremediation in Cd-polluted soil areas; however, the molecular mechanisms underlying its Cd stress response are unknown. To further investigate the early gene response pattern in Z. japonica under Cd stress, plant leaves were harvested 0, 6, 12, and 24 h after Cd stress (400 μM CdCl2) treatment and used for a time-course RNA-sequencing analysis. Twelve cDNA libraries were constructed and sequenced, and high-quality data were obtained, whose mapped rates were all higher than 94%, and more than 601 million bp of sequence were generated. A total of 5321, 6526, and 4016 differentially expressed genes were identified 6, 12, and 24 h after Cd stress treatment, respectively. A total of 1660 genes were differentially expressed at the three time points, and their gene expression profiles over time were elucidated. Based on the analysis of these genes, the important mechanisms for the Cd stress response in Z. japonica were identified. Specific genes participating in glutathione metabolism, plant hormone signal and transduction, members of protein processing in the endoplasmic reticulum, transporter proteins, transcription factors, and carbohydrate metabolism pathways were further analyzed in detail. These genes may contribute to the improvement of Cd tolerance in Z. japonica. In addition, some candidate genes were highlighted for future studies on Cd stress resistance in Z. japonica and other plants. Our results illustrate the early gene expression response of Z. japonica leaves to Cd and provide some new understanding of the molecular mechanisms of Cd stress in Zosia and Gramineae species.
IMPLEMENTASI CHATBOT LAYANAN INFORMASI PENDAFTARAN MAHASISWA BARU PROGRAM PASCASARJANA DEPARTEMEN TEKNIK INFORMATIKA ITS

The Covid-19 pandemic has had a significant impact on people's lives without providing education. The campus is to keep running health and all online activities do not register the new student registration process for the Department of Informatics Engineering Postgraduate Programe ITS. To facilitate the implementation of online registration, the Department of Informatics Engineering Postgraduate Programe ITS developed a smart information service system, namely a chatbot. Chatbot is software that can communicate with humans using natural language, conversation models using artificial intelligence to be able to understand speech and provide responses that are relevant to the problems discussed by users. This study aims to design and implement chatbot technology that can help users get information services about the postgraduate registration of the Department of Informatics Engineering Postgraduate Programe ITS easily and quickly. Sources of data regarding postgraduate, obtained from direct interviews with the staff in charge. This postgraduate registration chatbot is implemented using the dialogflow tools with the Natural Language Processing (NLP) method and the WhatsApp API. The results of this study are expected to be able to design a chatbot to make it easier for applicants and the Department of Informatics, especially the postgraduate program, to answer questions related to the selection of graduate programs. Testing the chatbot application using data as many as 85 questions about ITS postgraduate registration. The test results show that the chatbot can answer questions about ITS postgraduate registration with an accuracy of 98.82%.
Influence of Selenium Nanoparticles Synthesized by Co-precipitation Method on Oxidative Stress and Semen Quality of Chilled Rabbit Semen

HILLING process has negative impact on sperm function and quality attributes resulting in some modifications at the biochemical and structural levels. Selenium nanoparticles (SeNPs) supplementation could stop or even reverse this impact and improve the quality of cooled rabbit. The present study was designed to evaluate the effects of adding five different concentrations of SeNPs (0.5, 1, 1.5, 2 and 2.5 µg/ml) to protect rabbit spermatozoa from chilling adverse effects. X-ray diffraction (XRD), high resolution transmission electron microscopy (HR-TEM), and scanning electron microscopy (SEM) were used to characterize SeNPs synthesized by co-precipitation method. Semen was collected from ten sexually mature and fertile New Zealand White male rabbits using artificial vagina and pooled semen samples were diluted with tris-egg yolk-fructose extender only (control) or extender supplemented with 0.5, 1, 1.5, 2 and 2.5 µg/ml of SeNPs. Sperm motility, membrane integrity and acrosome defects were measured. To determine antioxidative role of SeNPs, malondialdehyde (MDA) level as a biomarker of lipid peroxidation was measured in seminal plasma. Sperm motility and membrane integrity increased with SeNPs at concentrations 0.5 μg/ml. Likewise, no adverse effect was reported on percentages of a live sperm as well as sperm morphology with all concentrations. MDA levels decreased with concentration 0.5 μg/ml SeNPs. Notably, adding 0.5, 1 and 2 μg/ml SeNPs to extender produced best significant positive effects on semen parameters compared to SeNPs free group. In conclusion, the results confirm that low concentrations of SeNPs fabricated by co-precipitation method could effectively preserve the quality of chilled rabbit semen.
The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery

Drug discovery and development are aimed at identifying new chemical molecular entities (NCEs) with desirable pharmacokinetic profiles for high therapeutic efficacy. The plasma concentrations of NCEs are a biomarker of their efficacy and are governed by pharmacokinetic processes such as absorption, distribution, metabolism, and excretion (ADME). Poor ADME properties of NCEs are a major cause of attrition in drug development. ADME screening is used to identify and optimize lead compounds in the drug discovery process. Computational models predicting ADME properties have been developed with evolving model-building technologies from a simplified relationship between ADME endpoints and physicochemical properties to machine learning, including support vector machines, random forests, and convolution neural networks. Recently, in the field of in silico ADME research, there has been a shift toward evaluating the in vivo parameters or plasma concentrations of NCEs instead of using predictive results to guide chemical structure design. Another research hotspot is the establishment of a computational prediction platform to strengthen academic drug discovery. Bioinformatics projects have produced a series of in silico ADME models using free software and open-access databases. In this review, we introduce prediction models for various ADME parameters and discuss the currently available academic drug discovery platforms.
Adapting a Teachable Robot’s Dialog Responses using Reinforcement Learning in Teaching Conversation

Teachable robots can offer benefits to students through the use of social behaviours, such as speech, gaze, and gestures, to promote engagement and learning. Adapting these behaviours can deliver personalised interactions to better suit each individual. There is a growing body of research utilising reinforcement learning in social robotics, however there is limited research in the use of adaptive dialog behaviours for social robots. We propose an adaptive response-selection algorithm for a teachable robot which aims to improve user engagement in the teaching task. The proposed approach uses Q-learning to learn an individualised policy. The algorithm is rewarded according to the time taken per teaching input, and the amount paraphrasing in the user’s response. A user study has been conducted to evaluate the algorithm, compared to a method of random response-selection. The results indicate that an adaptive approach learns to select more rewarding actions over time, and personalise to the individual user.
NADPH Oxidase 4-mediated Alveolar Macrophage Recruitment to Lung Attenuates Neutrophilic Inflammation in Staphylococcus aureus Infection

When the lungs are infected with bacteria, alveolar macrophages (AMs) are recruited to the site and play a crucial role in protecting the host by reducing excessive lung inflammation. However, the regulatory mechanisms that trigger the recruitment of AMs to lung alveoli during an infection are still not fully understood. In this study, we identified a critical role for NADPH oxidase 4 (NOX4) in the recruitment of AMs during Staphylococcus aureus lung infection. We found that NOX4 knockout (KO) mice showed decreased recruitment of AMs and increased lung neutrophils and injury in response to S. aureus infection compared to wild-type (WT) mice. Interestingly, the burden of S. aureus in the lungs was not different between NOX4 KO and WT mice. Furthermore, we observed that depletion of AMs in WT mice during S. aureus infection increased the number of neutrophils and lung injury to a similar level as that observed in NOX4 KO mice. Additionally, we found that expression of intercellular adhesion molecule-1 (ICAM1) in NOX4 KO mice-derived lung endothelial cells was lower than that in WT mice-derived endothelial cells. Therefore, we conclude that NOX4 plays a crucial role in inducing the recruitment of AMs by controlling ICAM1 expression in lung endothelial cells, which is responsible for resolving lung inflammation during acute S. aureus infection.
Study of sardine oil antioxidant properties for the development of topical therapeutic formulations

• 1CEB – Centre of Biological Engineering, Department of Biological Engineering, University of Minho, Campus of Gualtar, 4710 – 057 Braga, Portugal • 2Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus of Gualtar, 4710 – 057 Braga, Portugal • 3CITAB – Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology, University of Minho, Campus of Gualtar, 4710 – 057 Braga, Portugal • 4Instituto Portugues do Mar e da Atmosfera (IPMA), Av. de Brasilia, 1449 – 006 Lisboa, Portugal
The Positive Impact of Foods Support on Loss to Follow Up Among Children and Adolescents on HIV Antiretroviral Therapy in a District Hospital in East Cameroon

Introduction The pediatric HIV treatment coverage in Cameroon remains low at 35%. The high loss to follow up (LTFU) remains a major factor to this dismal performance which is related to the lack of implementation of effective interventions to improve retention in care. This study assessed the impact of foods support (FS) on LTFU among children and adolescents in a rural district hospital in eastern Cameroon. Methods This was a retro-prospective study conducted in Abong Mbang District Hospital (ADH) in the East Region of Cameroon. We provided foods kits to children and adolescents initiated on antiretroviral therapy (ART) in this facility during the study and followed them up prospectively (prospective phase). On the other hand, using medical records, we collected retrospectively data for children and adolescents who enrolled on ART in the hospital prior to the study (retrospective phase). We then compared the proportions of children and adolescents LTFU before (no FS) and after (with FS) the study, using the Fisher’s exact test, logistic regression, Kaplan–Meier survival curves and Cox proportional-hazards model at 5% significant level. Results We found that with FS, the proportion of children and adolescents LTFU was 11 times lower (2.4% vs 26.7%, p=0.014), the mean time of retention in care was 30% higher (17 months vs 12 months, p<0.001) and children and adolescents who did not receive FS were 10 times more likely to be LTFU [aHR=10.3 (4.0–26.2), p<0.001)]. Conclusion Foods support is an effective intervention in reducing LTFU among children and adolescents on ART. This intervention should be adequately funded to enable a large-scale implementation in the field. This could help to improve the outcome of pediatric ART coverage in resource-limited settings.
Fast particle-mesh code for Milgromian dynamics

Modified Newtonian dynamics (MOND) is a promising alternative to dark matter. To further test the theory, there is a need for fluid- and particle-dynamics simulations. The force in MOND is not a direct particle-particle interaction, but derives from a potential for which a nonlinear partial differential equation (PDE) needs to be solved. Normally, this makes the problem of simulating dynamical evolution computationally expensive. We intend to develop a fast particle-mesh (PM) code for MOND (the AQUAL formalism). We transformed the nonlinear equation for MOND into a system of linear PDEs plus one algebraic equation. An iterative scheme with the fast Fourier transform (FFT) produces successively better numerical approximations. The algorithm was tested for dynamical systems in MOND where analytical solutions are known: the two-body problem, a body with a circular ring, and a spherical distribution of particles in thermal equilibrium in the self-consistent potential. The PM code can accurately calculate the forces at subpixel scale and reproduces the analytical solutions. Four iterations are required for the potential, but when the spatial steps are small compared to the kernel width, one iteration is suffices. The use of a smoothing kernel for the accelerations is inevitable in order to eliminate the self-gravity of the point particles. Our PDE solver is $15$ to $42$ times as slow as a standard Poisson solver. However, the smoothing and particle propagation takes up most of the time above one particle per $10^3$ pixels. The FFTs, the smoothing, and the propagation part in the code can all be parallelized.
PV Simulator Packaged as a Standalone Application Based Docker Container

With the new feature MATLAB Compiler™ available starting R2020b Matlab, an application developed in Matlab can be packaged as docker standalone application and deployed using Docker® container service. The target system running the standalone application must be a Linux distribution and requires a MATLAB® Runtime installation and an active docker service. The proposed standalone application is a PV simulator GUI programmatically implemented in Matlab based on two photovoltaic (PV) panels’ data sheets. The obtained PV simulator is launched in both MATLAB® environment, where initial was designed and externally in a Linux environment as a standalone application independent of the design program. No differences between the reported results, this proving the possibility of large-scale usability of what was designed.
Cartografía de las inundaciones del río Ebro en febrero de 2003: trabajos de fotointerpretación, teledetección y análisis SIG en el GIS-Ebro

During the first days of February 2003 there were an important flood in the Ebro River, because of the high runoffs during the first days of February due to the combination of heavy rains and the quick snow melting in its tributaries upstream catchments. Maximum peak flows of 3.320 m/s in the early morning of the 6 of February in Castejon (Navarra) and 2.988 m/s in the early morning of the ninth in Zaragoza, were registered. The Ebro River Basin Authority carried out an intensive follow-up of this event. The spatial and time evolution of this event could be studied thank to the combined use of various monitoring techniques on the ground (data provided by the Automatic Hydrologic Information System, observation on the ground) and from the air. After the event, it was carried out a combined analysis, taking into account both the photographs available from a flight dur-
Probabilistic Policy Blending for Shared Autonomy using Deep Reinforcement Learning

Technologies in machine learning and artificial intelligence have come a long way in decision making and system automation, but still faces difficult challenges in semi-automation and human-in-the-loop frameworks. This work presents a probabilistic policy blending approach for shared control between a human operator and an intelligent agent. The proposed approach assumes that the agent can control a system and the human operator needs to communicate the system’s intended goal. A comparative study is presented between different arbitration functions that are used to blend the human and agent’s actions. The proposed approach can achieve a variable level of assistance to the human operator successfully within discrete action space using the Lunar Lander game environment developed by OpenAI. Furthermore, human physiological data have been analyzed while the human interacts with the system and the agent using different arbitration functions. A correlation between the physiological data, arbitration level, and task performance was observed.
New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

The design of high-performance complementary meta-resonators for microwave sensors featuring high sensitivity and consistent evaluation of dielectric materials is challenging. This paper presents the design and implementation of a novel complementary resonator with high sensitivity for dielectric substrate characterization based on permittivity and thickness. A complementary crossed arrow resonator (CCAR) is proposed and integrated with a fifty-ohm microstrip transmission line. The CCAR’s distinct geometry, which consists of crossed arrow-shaped components, allows for the implementation of a resonator with exceptional sensitivity to changes in permittivity and thickness of the material under test (MUT). The CCAR’s geometrical parameters are optimized to resonate at 15 GHz. The CCAR sensor’s working principle is explained using a lumped-element equivalent circuit. The optimized CCAR sensor is fabricated using an LPKF protolaser on a 0.762-mm thick dielectric substrate AD250C. The MUTs with dielectric permittivity ranging from 2.5 to 10.2 and thickness ranging from 0.5 mm to 1.9 mm are used to investigate the properties and calibrate the proposed CCAR sensor. A two-dimensional calibration surface is developed using an inverse regression modelling approach to ensure precise and reliable measurements. The proposed CCAR sensor is distinguished by its high sensitivity of 5.74%, low fabrication cost, and enhanced performance compared to state-of-the-art designs, making it a versatile instrument for dielectric characterization.
Edge-Guided Hyperspectral Change Detection

Hyperspectral change detection (HCD) is widely applied in various domains, such as accurate agriculture, disaster assessment, land use, and environmental monitoring. Most HCD methods aim at extracting and classifying the spectral variation features with dimension reduction and machine-learning methods. Different from previous work, this letter proposes an edge-guided HCD method. Specifically, a subtraction operation is adopted to extract difference hyperspectral image (HSI). Then, the edge-preserving filtering is performed on the difference HSI to extract spectral–spatial features. Next, the number of the extracted features is diminished through the kernel principal component analysis (PCA). Finally, the fused features are input into a spectral classifier followed by the edge-preserving filtering to obtain the final change detection result. Experiments on several HCD datasets demonstrate that the proposed method can consistently outperform other advanced approaches in both subjective and objective evaluations when only a limited number of labeled samples are available.
Cyclin B Export to the Cytoplasm via the Nup62 Subcomplex and Subsequent Rapid Nuclear Import Are Required for the Initiation of Drosophila Male Meiosis

The cyclin-dependent kinase 1 (Cdk1)–cyclin B (CycB) complex plays critical roles in cell-cycle regulation. Before Drosophila male meiosis, CycB is exported from the nucleus to the cytoplasm via the nuclear porin 62kD (Nup62) subcomplex of the nuclear pore complex. When this export is inhibited, Cdk1 is not activated, and meiosis does not initiate. We investigated the mechanism that controls the cellular localization and activation of Cdk1. Cdk1–CycB continuously shuttled into and out of the nucleus before meiosis. Overexpression of CycB, but not that of CycB with nuclear localization signal sequences, rescued reduced cytoplasmic CycB and inhibition of meiosis in Nup62-silenced cells. Full-scale Cdk1 activation occurred in the nucleus shortly after its rapid nuclear entry. Cdk1-dependent centrosome separation did not occur in Nup62-silenced cells, whereas Cdk1 interacted with Cdk-activating kinase and Twine/Cdc25C in the nuclei of Nup62-silenced cells, suggesting the involvement of another suppression mechanism. Silencing of roughex rescued Cdk1 inhibition and initiated meiosis. Nuclear export of Cdk1 ensured its escape from inhibition by a cyclin-dependent kinase inhibitor. The complex re-entered the nucleus via importin β at the onset of meiosis. We propose a model regarding the dynamics and activation mechanism of Cdk1–CycB to initiate male meiosis.
Geochemically unravelling the sedimentary components of Archaean metasediments from Western Australia

Major and trace elements of metasediments of the granulite facies Narryer and the amphibolite facies Jack Hills metasediments have been used to devise plots which enable the original sedimentary components of these rocks to be unravelled, despite their metamorphic state. These plots overcome the predominant effect of quartz which ranges up to 100% and can be used to study other metasediment suites. Six components controlled the composition of the clastic metasediments (1) kaolinite, (2) illite-muscovite, (3) chlorite–montmorillonite, (4) dolomite, (5) quartz, (6) resistant heavy minerals such as rutile, zircon, chromite and monazite. Identifying the first four of these components enables the trace element composition associated with the components to be estimated. Feldspar was largely destroyed by chemical weathering but there is a suggestion that traces of it formed a minor seventh component in the Narryer rocks. There was little or no mixing of the original kaolinite-bearing and illite–muscovite-bearing samples, indicating two distinct sources, although both sets of samples contain >4 Ga zircons, suggesting a third zircon source. The old zircons may have been derived from re-worked sediment or metasediment as they occur in the matrix and in the quartzite clasts of conglomerates. Using Bhatia's criteria, a passive margin is the likely site of deposition. Calc alkaline tholeiites in the Narryer succession are intrusive and did not contribute to the sediments which were derived from extremely heavily weathered granites, komatiites, schists and reworked sandstones or quartzites.