Miracle-dz/UniFAR-FTUs huggingface dataset:
An Autoselection Strategy of Multiobjective Evolutionary Algorithms Based on Performance Indicator and its Application

The use of ensemble approaches in the single-objective evolutionary algorithms is ubiquitous, but ensembles of multiobjective evolutionary algorithms (MOEAs) have achieved relatively little attention. On the other hand, manually selecting a suitable MOEA to solve an actual multiobjective optimization problem (MOP) is time-consuming and challenging. Therefore, developing a multiobjective hyperheuristic to allocate computational resources for multiple MOEAs in an intelligent approach is beneficial. In this work, an autoselection strategy of MOEAs based on the performance indicator (MOEAS-PI) is introduced to alleviate the abovementioned problem. In the MOEAS-PI, the performance of each constituent MOEA in the pool is assessed according to a real-time and comprehensive performance indicator, which contains both the current and future performances. The MOEAS-PI is able to easily choose the best performing MOEA during the evolutionary process. Also, it can enhance the robustness of MOEAs and reduce the application risk. The effectiveness of the MOEAS-PI is carefully evaluated on 23 MOPs. Simulation results demonstrate that the MOEAS-PI is an effective and efficient method to integrate the advantages of each individual algorithm. Finally, the MOEAS-PI is utilized to solve a translation control problem of an immersed tunnel element under current flow. Experimental results reveal that the MOEAS-PI is a reliable and effective optimization approach to solve actual MOPs. Note to Practitioners—Multiobjective optimization problems (MOPs) have been commonly found in various fields. However, a single MOEA cannot guarantee its sufficient robustness and adaptability in solving MOPs. Therefore, this study aims to propose a multiobjective hyperheuristic algorithm to improve the robustness of MOEAs. The performance of the proposed algorithm is tested on benchmark test functions and an actual MOP. The results show that the proposed approach can select a suitable MOEA to solve a particular type of MOPs during the evolutionary process and provide a solution set for decision-makers to control the translation of an immersed tunnel element under different objectives/operator environments.
EFFICACY OF NEW CHEMISTRY INSECTICIDE SPINOSAD ALONG WITH SOME PLANT EXRACTS AS GRAIN PROTECTANT AGAINST Rhyzopertha dominica (F.) (COLEOPTERA: BOSTRYCHIDAE)

During storage, stored commodities are attacked by different kinds of insect pests. Among these storage insect pests, Rhyzopertha dominica Fab. is one of the most threatening pest. The present study was carried out at Grain Research, Training and Storage Management cell of the Department of Entomology, University of Agriculture, Faisalabad. Acetone extracts of Nicotiana tabacum and Piper nigrum at a concentration of 10, 15 and 20% and new chemistry insecticides Spinosad at concentrations of 1, 1.5 and 2ppm were evaluated alone and in combination for their mortality effect against R. dominica . The results revealed that spinosad showed more mortality than other two plant extracts of P. nigrum and N. tabacum . Spinosad showed maximum mortality 44.44% at the exposure time of 72hrs and minimum mortality of 4.83% at 24hrs exposure period. While in case P. nigrum showed the less mortality than spinosad and the N. tabacum . The application of P. nigrum was resulted into 1.67 and 5.42% mortality after exposure period of 24 and 72 hrs, respectively. The application of N. tabacum has been resulted into 23.75 and 2.34%mortality after 72 and 24hrs of treatment. It was also obvious from the results that a direct concentration and mortality response was observed in all the treatment applications. The results regarding the combine effect of plant extract and spinosad showed that the maximum mortality 57.73% was by the combinations of all three treatments of new chemistry insecticide and plant extracts. While mortality was minimum 28.73% where plant extract was applied only. From these results it was concluded that new chemistry insecticides had high toxicant action as compared to plant extracts against R. dominica and could be recommended for the management of stored grain pest R. dominica .
Polycyclic aromatic hydrocarbons in traditional Chinese medicines: an analytical method based on different medicinal parts, levels, distribution, and sources

Herein, we describe a rapid, easy, and cost-effective high-performance liquid chromatography method using UV and fluorescence detectors for the simultaneous analysis of 16 polycyclic aromatic hydrocarbons (PAHs) in traditional Chinese medicines (TCMs). Pretreatment involved different extraction methods depending on the different medicinal parts, and was followed by silica gel purification. The method was validated and used to assess PAHs contamination in 32 TCMs. In the samples analyzed, all 16 PAHs were present. Their total contents ranged from 19.5 to 1614.1 μg kg−1. Among all PAHs studied, phenanthrene was the most common and serious contaminant, followed by fluorene and fluoranthene. Leaves had the highest levels of the 16 PAHs, followed by roots and stems, seeds, flowers, and fruits. The diagnostic ratios and principle component analysis showed that the main sources of PAHs in TCMs were both pyrogenic and petrogenic. Furthermore, PAHs in roots and stems primarily originated from wood or coal combustion, as reported for the first time. Our results suggest that PAHs contamination in TCMs is widespread, and that the proposed method may be a useful tool for quality control of PAHs in TCMs, and for determining their potential health risks.
French for Professional Purposes in US Undergraduate Education: An Analysis of Course Offerings and Student Demand

In the past decade, there has been a significant decline in French language enrollments in US higher education institutions, despite a growing demand for French proficiency in the US job market. These trends illustrate the need to offer French for Professional Purposes (FPP) courses, which allow students to develop language skills adapted to the professional environment. Our research aims to analyze the supply and demand for FPP courses. In this current study, we assessed the proportion of four-year colleges and universities that offer FPP courses, and we compiled the variety of their course offerings. We then conducted a survey of students enrolled in the FPP courses. Among the 545 institutions reviewed, a majority offered at least one FPP course, usually Business French. Institutions offering more than one course and a wider diversity of course topics were less common. Based on questionnaire responses, we found a significant mismatch between the supply of courses and students’ demand for FPP course offerings. We also found that, if given the possibility, most undergraduate students in the first through third years would like to enroll in another FPP course in the following academic year. These results call for further developments of FPP courses nationwide and greater diversification of course offerings.
Bidirectional Perfect Absorber Using Free Substrate Plasmonic Metasurfaces

Much effort has been made to achieve metasurface absorbers with polarization‐insensitive, wide‐angle, multiband, or broadband performance from gigahertz to terahertz to optical ranges. However, there are well‐known challenges in optimizing the performance of metasurface absorbers, due to the existence of a theoretical limit. It is urgent to extend and improve the optical properties of metasurface absorbers to satisfy the requirements for practical applications. Here, a novel free substrate metasurface absorber is demonstrated that has high spatial frequencies on the surface and can prevent light transmission and reflection by transforming free‐space incident waves into evanescent waves. Experimental and simulation results show that the proposed metasurface absorber can realize bidirectional perfect absorption and that the absorption of the light incident on one side of the metasurface is independent of the light incident on the other. Hence, the bidirectional perfect absorption does not depend on coherence of the beams. The proposed metasurface provides new degrees of freedom to realize a perfect absorber with twice the absorption capacity. It could have a wide range of applications and profound implications in photodetection, solar light harvesting, and sensing.
LANDSCAPE INFORMATION MODELLING: AN IMPORTANT ASPECT OF BIM MODELLING, EXAMPLES OF CUBATURE, INFRASTRUCTURE, AND PLANNING PROJECTS

Land Information Modelling (LIM), increasingly popular among landscape architects and urban planners, is based on the use of urban space data that can be obtained from GIS systems. New models of buildings are simultaneously developed in BIM technology. This provokes an increasing need for integration of data from both areas for the use of shared BIM and GIS data in landscape design. The increasing popularity of the BIM technology not only forces designers to develop BIM models of buildings but also other land management objects, including infrastructure objects. Whereas it is possible to develop a model of an infrastructure object in specific BIM tools, the IFC data model for standardised exchange of BIM data does not offer the possibility to record data on objects other than buildings and their furnishings, and elements of land management are treated in a very general way. Transferring such a model by means of the IFC model requires the application of substitute classes of objects that are not relevant to the actual image of the model. Considering the above, the buildingSMART consortium conducts works on the expansion of the IFC model to permit modelling data on infrastructure objects. Provided the availability of valid spatial data from GIS systems and data concerning infrastructure objects already at the stage of design, systemic BIM and LIM can become a powerful landscape design tool based on current data and data concerning designed objects.
A Meta-Analysis of the Effect of Acceptance Commitment Therapy on Obsessive-Compulsive Disorder

Objective: this study aimed to explore the effect of acceptance commitment therapy (ACT) on Obsessive compulsive disorder (OCD). Methods: randomized controlled trials of the effect of ACT on obsessive-compulsive disorder were searched in the Cochrane Library, PubMed, Web of Science, EMBASE and Google Scholar databases, and the measurement data of the Yale-Brown Obsessive Scale(Y-BOCS) test scores were meta-analyzed using Revman5.3 software. Results: The study included 5 eligible literatures, with a total sample of 275 persons. The results of meta-analysis on the effect of ACT alone showed that ACT had a better effect on OCD than other treatment methods (MD = -3.76, Z = 4.41, P≤0.05). Meta-analysis results of ACT combined SSRIs therapy showed that ACT combined therapy was better than SSRIs alone (MD = - 7.18, Z =6.59, P ≤ 0.05). Conclusion: acceptance commitment therapy can effectively treat OCD.
EARLYTROP: A PROGRAM TO ADAPT 100% TROPICAL MAIZE GERMPLASM TO SHORT-SEASON ENVIRONMENTS

Tropical maize germplasm can contribute useful and unique genes. It can provide greater resistance to pests and diseases, better quality crops, and trait genes and combinations not often present in commercially available northern U.S. temperate hybrids. Uniform farmer fields with genetically identical hybrids have a high risk of genetic vulnerabilities due to disease epidemics and abiotic stresses, especially after the recent major industry mergers. The EarlyTROP program was created with the long-term goal to increase the genetic diversity of short-season maize carrying 100% tropical germplasm. Five tropical maize populations were assessed for adaptation to ND short-season environments: NDSHLC (an improved composite from highland Mexico), BS16 (an improved strain of ETO from Colombia), BS28 (an improved strain of Tuxpeno from Mexico), BS29 (an improved strain of Suwan-1 from Thailand), and BS39 (an improved strain of Tuson mainly from Brazil and Cuba). The program conducted three cycles of stratified mass selection for days to silking near Casselton and Prosper, ND for all varieties except for NDSHLC, which had six selection cycles of stratified mass selection. Selected populations (NDHighland, NDEto, NDTuxpeno, NDSuwan-1, and NDTuson), and 31 checks including standard known and commercialized population and single-cross hybrids were evaluated across 12 short-season environmend. Stratified mass selection was a cost-effective and successful breeding procedure for adapting tropical populations to short-season environments without exceptions. NDTuxpeno is ready to be used in very short-season areas. It has shown to be the driest population of the experiment with 17.6% grain moisture at harvest time, statistically lower than 18 checks. Thus, confirming its adaptation to short-season environments. NDHighland, NDEto, NDSuwan-1, and NDTuson also showed evidence of adaptation. Adapted varieties represent unique new options for maize breeders to expand the genetic base of their current breeding programs. This gene pool, not present in current U.S. genome sequences or short-season areas, will offer unique early maturing competitive genes and products not available in the northern U.S. industry.
Production and characterization of biodiesel from the unicellular green alga Scenedesmus obliquus

ABSTRACT Regardless of whether biodiesel is represented in the form of oil from grains, agricultural crops, or microorganisms, it is a clean fuel depends mainly on biomass conversion. The present work indicates that the green microalga Scenedesmus obliquus showed higher biomass productivity of 0.15 g (CDW) L−1 d−1. The increase in NaCl concentration up to +100% caused an increase in growth, esterified fatty acid (EFA) content, and EFA productivity of S. obliquus. The decrease or increase of pH values reduced the growth, EFA content, and productivity. Biomass productivity increased from 0.06 g L−1d−1 under a light intensity of 80 μmol m−2s−1 to 0.1 g L−1d−1 at 160 μmol m−2 s−1. Biodiesel characterization showed that the iodine value of biodiesel of S. obliquus was 70 g iodine/100 g oil. Except viscosity, all biodiesel characteristics are in accordance with the European standards for fuel diesel (EN 590:1999). These results nominate S. obliquus as a promising candidate for biodiesel production by outdoor cultivation.
STABILITY INDICATING METHOD DEVELOPMENT AND VALIDATION OF TOPIRAMATE USING RP-HPLC IN BULK AND PHARMACEUTICAL DOSAGE FORMS

The present project work is aimed on stability indicating method development and validation of topiramate using RP-HPLC in bulk and pharmaceutical dosage form . The method developed will be accurate, precise and linear for the estimation of the drugs in the near future. The analytical method will be developed by studying different parameters of Topiramate. The column used for study is Inertsil C18, ODS chosen good peak shape. Ambient temperature is found to be suitable for the nature of drug solution. The flow rate will be fixed at 1.0ml/min to obtain good peak area, satisfactory retention time and good resolution. Different ratios of mobile phase will be studied, mobile phase with satisfactory results will be selected for good symmetrical peaks and good resolution. We conduct the analysis based on UV detection and Reverse Phase High Performance Liquid Chromatograph.
Alloy Nanoparticles for Hydrogen Sensing

Detecting hydrogen with nanoplasmonic sensing is a fairly new concept with the promising prospect of producing compact and precise hydrogen sensors with a low cost, due to the small amount of materials needed. In order to explore this possibility, material properties of various nanoparticle compositions should be examined to get a good understanding for these systems as well as finding the most suitable materials. In this master thesis project I have studied absorption and desorption of hydrogen in PdAu alloy nanoparticles to determine their thermodynamic and kinetic properties. This was done with direct nanoplasmonic sensing utilizing the change in LSPR (Localized Surface Plasmon Resonance) when changing the concentration of hydrogen in the nanoparticles. The main focus has been on determining the critical temperature TC for PdAu alloy nanoparticles with a concentration of gold ranging from 0 to 30 at%. Using two different methods, Van’t Hoff equation and data collapse, TC is found to decrease with increasing gold concentration. This decrease goes from 250 for pure palladium to below 100 for alloys with gold concentration greater than 15 at%. For gold concentrations of 20% and above, TC might already be below room temperature, but an unexpected hysteresis present at all hydrogen pressures was found, complicating the result interpretation. The reason behind this hysteresis is widely discussed in this report and the most likely explanation seems to be particle-substrate strain. Furthermore, the response time of the rate limiting step t90 for both hydrogen absorption and desorption is found to decrease with increased gold concentration. A quantitative decription of the energy landscape for hydrogen desorption was also derived by continuously analyzing change in the LSPR signal of the alloy particles during dehydrogenation
Detecting Man-in-the-Middle Attack in Fog Computing for Social Media

: Fog computing (FC) is a networking paradigm where wireless devices known as fog nodes are placed at the edge of the network (close to the Internet of Things (IoT) devices). Fog nodes provide services in lieu of the cloud. Thus, improving the performance of the network and making it attractive to social media-based systems. Security issues are one of the most challenges encountered in FC. In this paper, we propose an anomaly-based Intrusion Detection and Prevention System (IDPS) against Man-in-the-Middle (MITM) attack in the fog layer. The system uses special nodes known as Intrusion Detection System (IDS) nodes to detect intrusion in the network. They periodically monitor the behavior of the fog nodes in the network. Any deviation from normal network activity is categorized as malicious, and the suspected node is isolated. Exponentially Weighted Moving Average (EWMA) is added to the system to smooth out the noise that is typically found in social media communications. Our results (with 95% confidence) show that the accuracy of the proposed system increases from 80% to 95% after EWMA is added. Also, with EWMA, the proposed system can detect the intrusion from 0.25– 0.5 s seconds faster than that without EWMA. However, it affects the latency of services provided by the fog nodes by at least 0.75–1.3 s. Finally, EWMA has not increased the energy overhead of the system, due to its lightweight.
Self-Balanced Multilevel Inverter With Hybrid Double- and Half-Mode Switched Capacitor

Two 17-level inverters based on switched capacitor (SC) are presented in this article. Each of them involves two SC units and a neutral-point-piloted unit. A total of four pairs of transistors, a bidirectional switch, two pairs of diodes, and three pairs of capacitors are employed. All of the switching components are controlled by six pulsewidth modulation signals and all capacitors’ voltages are self-balanced. With an improved selective harmonic eliminated modulation strategy, low-order harmonics are effectively suppressed and switches operate in low switching frequency. In addition to the use of fewer components, high-quality output voltage shape is benefited from the unique topology and reduced capacitor voltage ripple accumulation. Experiment results demonstrate the excellent performance of the proposed inverter. High efficiency is also achieved and the maximum value is up to 98.05%.
SuccERP: The design science based integration of ECS and ERP in post-implementation stage

The existing studies of Enterprise Resource Planning (ERP) are primarily focusing on the adoption and implementation stages, the post-implementation stage has received less attention in comparison. However, most enterprises have been struggling under the post-implementation stage. This work aims to review the state-of-the-art issues of ERP in the post-implementation stage, including communication, legacy system, collaboration, and the manager is hard to monitor the performance. Based on the Design Science (DS) method, we highlight how to offset the lack of an ERP system and ECS according to the guidelines of DS, and show the exhaustive steps for implementing the artifact-SuccERP. Our research is rigorous and interpretive by considering the steps of the DS and the functions of Software Engineering. Further, we explore multiple ERP systems to summarize the difference in authentication, initial data, and specific procedures aspects, after that, we consider the two most popular procedures (order creation and bill of purchase creation) as examples to demonstrate and evaluate the proposed artifact—SuccERP in the result. We propose the complete and practical research for solving the issues from previous theoretical results of an ERP, and to show experimentally that the proposed SuccERP is easy to maintain by applying the Cyclomatic Complexity and the Maintainability Index as metrics. This study is a milestone that allows ERP research to move from the theoretical stage to integrating, creating things that serve a human purpose, and dealing with the issues presented by previous works practically.
A Virtual Reality Game (The Secret Trail of Moon) for Treating Attention-Deficit/Hyperactivity Disorder: Development and Usability Study

Background Attention-deficit/hyperactivity disorder (ADHD) affects between 4% and 8% of children worldwide. The treatment of choice is multimodal treatment. Multimodal interventions for ADHD may be improved by incorporating new treatments, such as treatment via serious video games. The Secret Trail of Moon (TSTM) is a virtual reality serious video game that was designed for cognitive training related to core ADHD symptoms and executive dysfunction. Objective We aimed to describe the development and usability of TSTM. Methods The usability study included 37 children and adolescents who tested TSTM during the early usability stage (preinclusion) of a randomized controlled clinical trial for testing the effectiveness of TSTM. Chi-square tests were performed to compare patients with ADHD (ADHD combined subtype vs inattentive subtype) and to compare frequent and infrequent video game players in the second study. We used SPSS version 20 for Macintosh (IBM Corporation). Results A total of 31/37 (86%) and 30/37 (83%) of participants liked playing TSTM and wanted to continue playing TSTM, respectively. Further, 5/37 (14%) of participants reported that they experienced either perceived dizziness or virtual reality motion sickness. We found no statistically significant differences after comparing the ADHD combined subtype to the inattentive subtype and frequent video game players to infrequent video game players. Conclusions Serious video games, such as TSTM, may complement the current multimodal approach for treating ADHD. Trial Registration ClinicalTrials.gov NCT04355065; https://clinicaltrials.gov/ct2/show/NCT04355065