Miracle-dz/UniFAR-FTUs huggingface dataset:
A biobjective capacitated vehicle routing problem using metaheuristic ILS and decomposition

Vehicle routing problems (VRPs) have usually been studied with a single objective function defined by the distances associated with the routing of vehicles. The central problem is to design a set of routes to meet the demands of customers at minimum cost. However, in real life, it is necessary to take into account other objective functions, such as social functions, which consider, for example, the drivers' workload balance. This has led to growth in both the formulation of multiobjective models and exact and approximate solution techniques. In this article, to verify the quality of the results, first, a mathematical model is proposed that takes into account both economic and work balance objectives simultaneously and is solved using an exact method based on the decomposition approach. This method is used to compare the accuracy of the proposed approximate method in test cases of medium mathematical complexity. Second, an approximate method based on the Iterated Local Search (ILS) metaheuristic and Decomposition (ILS/D) is proposed to solve the biobjective Capacitated VRP (bi-CVRP) using test cases of medium and high mathematical complexity. Finally, the nondominated sorting genetic algorithm (NSGA-II) approximate method is implemented to compare both medium- and high-complexity test cases with a benchmark. The obtained results show that ILS/D is a promising technique for solving VRPs with a multiobjective approach.
A High Temperature Planar Solid Oxide Fuel Cell Operating on Phosphine Contaminated Coal Syngas

DE SILVA, KANDAUDAGE CHANNA R. , Ph.D., June 2011, Chemical Engineering A High Temperature Planar Solid Oxide Fuel Cell Operating on Phosphine Contaminated Coal Syngas (177 pp.) Director of Dissertation: David J. Bayless Solid oxide fuel cells that operate on phosphine contaminated coal syngas are subject to performance degradation due to alterations of the anode microstructure. Theoretical investigations have revealed that moisture in syngas influence new phase formation due to interactions with phosphorus. This research was conducted in view of accelerating failure of Ni-YSZ/Ni-GDC bi-layer SOFC anodes, by feeding increased phosphine concentrations in syngas and reduced moisture than typical, at 800°C and 900°C for 48 hours. Electrochemical energy conversion was measured, while thermodynamic modeling was used to validate material analysis performed to identify new phases and phosphorus penetration. Ni-GDC and Ni-SDC anodes too were tested for relative stability in a phosphine contaminated environment. Cell power output showed comparatively higher rates of degradation at 900°C, while material analysis discovered formation of nickel phosphides and CePO4. Phosphorus was found to penetrate to the electrolyte. Ceria based anodes, especially Ni-GDC, appeared to be able to mitigate phosphine poisoning as the rate of power loss was significantly less than in conventional anodes. Chemical thermodynamics suggest that formation of CePO4 may suppress rapid phosphine interactions with nickel to form phosphides, due to consumption of the contaminant by both nickel and ceria. Thermodynamic modeling performed to analyze 4 SOFC electrochemical responses, suggested a linear increase of power with increase in CO concentrations under low fuel utilizations conditions. Models for electrochemical impedance spectra revealed that CO concentrations in syngas influence the gas conversion impedance, similar to power densities. Approved: _____________________________________________________________ David J. Bayless Loehr Professor of Mechanical Engineering
Biotechnology for the mitigation of plastic waste from the oceans

In contemporary times, the term “plastic” represents a family of polymers that are synthetically developed and have the property of being deformed without breaking. Since the beginning of its manufacturing at industrial levels, the amount of the world’s plastic production has already risen over 20,000%. Most of the produced plastic ends up having the sea as the end destination and it is known that there are toxic compounds associated with its decomposition that can cause serious problems to the ecosystem and to marine fauna. Biotechnology, as an area of study that integrates several areas of science, is committing to develop methods that may be useful in reversing the impacts that improper disposal of plastic can cause in the environment. The development of biodegradable materials and faster degradation tests with selected microorganisms have been the most effective biotechnological techniques, although they do not yet have a major impact on existing pollution mitigation. This paper will discuss the current accumulation of plastic in the oceans, as well as some of the biotechnological alternatives adopted to reverse the amount of plastic material discarded annually which ends up in the sea.
The Effect of Dietary Garlic (Allium Sativum), Black Cumin (Nigella Sativa) and Their Combination on Performance, Intestine Morphometry, Serum Biochemistry and Antioxidant Status of Broiler Chickens

This study was conducted to examine the effects of garlic (G), black cumin (BC) and G+BC within the broiler rations, on performance, relative organ weights, intestinal morphology, serum biochemistry and plasma total oxidant/ antioxidant status. Two hundred broilers chicks (Ross 308) were used and they were divided into 4 groups consisting of 5 subgroups of 10 animals each. The trial was ended on the 35th day. No addition was made to the control group ration. 5g / kg garlic (G), 5g / kg black cumin (BC) and 5g / kg G + 5g / kg BC were added to the experimental group rations, respectively. There was no statistical difference among the trial groups in terms of BWG, FI, FCR and relative organ weights (p>0.05). Serum total protein (p<0.05) and albumin (p<0.001) levels were higher in BC and BC +G groups as compared to G and control group. Serum AST activity were lower in G group as compared to control and other experimental groups (p<0.05). On histological examinations, regarding the duodenal epithelium; there was no difference among the trial groups. Hyperemia was observed, especially in the G group, in macroscopic exams of lamina propria and other viticular areas. The lymph follicles were more wide spread in the G + BC, G and BC groups than in the control. The results of the study showed that the combination of BC and G can have beneficial effects, and different doses of G and BC may be used to see positive or negative effects.
Real-Time Recognition and Location of Indoor Objects

Object recognition and location has always been one of the research hotspots in machine vision. It is of great value and significance to the development and application of current service robots, industrial automation, unmanned driving and other fields. In order to realize the real-time recognition and location of indoor scene objects, this article proposes an improved YOLOv3 neural network model, which combines densely connected networks and residual networks to construct a new YOLOv3 backbone network, which is applied to the detection and recognition of objects in indoor scenes. In this article, RealSense D415 RGB-D camera is used to obtain the RGB map and depth map, the actual distance value is calculated after each pixel in the scene image ismapped to the real scene. Experiment results proved that the detection and recognition accuracy and real-time performance by the new network are obviously improved compared with the previous YOLOV3 neural network model in the same scene. More objects can be detected after the improvement of network which cannot be detected with the YOLOv3 network before the improvement. The running time of objects detection and recognition is reduced to less than half of the original. This improved network has a certain reference value for practical engineering application.
Research on Double Closed-Loop Control Strategy of Contactors Based on Flux Linkage Observers

In this article, a double closed-loop control structure of a contactor is proposed for the first time, in which the outer flux linkage loop controls the inner current loop to retain the merits of current closed-loop control while avoiding its defects. A voltage integral flux linkage observer is designed in the making process of the contactor. In the closing process of the contactor, the state space expression of the contactor is given, and the closed-loop flux linkage observer is formed by reconstructing the flux linkage variable. The observed flux linkage is used as the closed-loop return signal to realize flux linkage closed-loop control of the contactor in the making and closing processes. This control scheme can realize self-adjustment of the coil current; thus, contact bounces are inhibited. Meanwhile, whether the movable core is closed in place is judged according to the proportional relationship between the flux linkage and the coil current in the closing process. Finally, the feasibility of the proposed scheme is verified by simulation and experiment.
Mathematical model of determining the index of fractal structures for estimating efficiency of probiotic fodder additives for microbiotes of the gut intestin

The work is devoted to the study of the self-organization of microbial communities in the intestines of chickens in different conditions of keeping and feeding chickens and the development on this basis of a mathematical model for determining the index of fractal structures to assess the effectiveness of probiotic feed additives on the microbiota of the intestines of chickens. The experience with chicken diets showed that the level of self-organization of microbial communities in the intestines of chickens depends on the probiotics used. The best indicator of the organization of the microbial community is the experimental version with a probiotic based on Lactobacillus fermentum. It was shown that the index values of the fractal structures of microbial communities in the intestines of chickens when using various probiotic preparations for different experimental schemes are as follows: OP1 – 0,292; OP1 + Probiotic 1 – 0,286; OP1 + Probiotic 2 – 0,354 and the developed mathematical model can be used to evaluate the effectiveness of probiotic feed additives on the microbiota of chicken intestines.
Prediction of Cognitive Failure at Work Based on Job Stress and Workload with the Mediating Role of Organizational Climate in Physical Education Staff

Article Info Background: Among important issues in physical education organizations, one could refer to paying attention to organizational health and identifying traumatic factors, including cognitive failure. Organizational failure could stem from organizational behavior. This study aims to examine the association between job stress and workload with cognitive failure with the mediating role of organizational climate among physical education staff in Ardabil province. Materials and Methods: In this descriptive correlational study, the statistical community consisted of the physical education staff of Ardabil province in 2019, from whom 200 employees were selected by random sampling. The research tools included cognitive failure questionnaires about organizational climate, job stress, and workload. The data were analyzed by Pearson's correlation and path analysis using SPSS, and AMOS software. Results: The results showed that the variables of job stress and workload had a significant positive association with cognitive failure. In addition, the research model had a good fit, and the indirect impact of these variables was confirmed by the mediating role of organizational climate (P <0.01). Conclusion: we concluded cognitive failure at work, based on job stress and workload with the mediating role of organizational climate, could be predictable in the physical education staff of Ardabil province.
Consumer-to-Consumer Product Trading With Strategic Consumer Behaviors in the Sharing Economy

Technological advancements have led to an increase in the popularity of consumer-to-consumer product trading (C2C-PT). How C2C-PT affects the manufacturer (called the “firm”) and consumers in the market is unclear. We, therefore, build analytical models to explore this problem. We consider a case in which a firm develops and sells a product to consumers in the market. Consumers possess heterogeneous random valuations of the product and are strategic in the sense that they are forward-looking utility maximizers. The firm makes the optimal decision on the product selling price. We study the impacts of C2C-PT on both the firm and consumers. We identify the optimal purchasing decision for the consumers and establish the optimal pricing policy for the firm. We show that the presence of C2C-PT may either benefit or hurt the firm and consumers, while the consumer's strategic behavior will always bring harm to the firm. Most interestingly, we prove that strategic purchasing behavior is not always beneficial to consumers themselves.
Remote Sensing based Land Use/Land Cover Change Detection: A Case Study of East Twente, Netherlands

Land use land cover change analysis has become an important element in the development of strategies for natural and environmental resource management. The main aim of this case study was to demonstrate the land use land cover changes that happened between 2002 and 2010 in the eastern Twente, the Netherlands. The study used Spot and Landsat TM images for the study period of 2002 and 2010 respectively. A Pixel-based supervised image classification technique was used for classification of images. Post classification technique was implemented to analyze the changes occurred between the different land cover types over the study period. The result of the post classification comparison method showed that the major change consisted of agriculture and nature conservation areas changed into built up areas. The result demonstrated that a high reduction in conservation and agriculture area coverage with a reduction percentage of 26.12% and 16.62% have happened between the study periods respectively. On the other hand, the built-up area cover has increased by 60.48% between the year 2002 and 2010 study periods. This study informs the need to tackle the expansion of residential areas through careful spatial planning and design future appropriate land management options.
Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning

Residential demand side management (DSM) is a promising technique in smart grids to improve the power system robustness and to reduce the energy cost. However, the ongoing paradigm shift of computation, such as mobile edge computing for smart home, poses a big challenge to residential DSM. Therefore, it is important to schedule the new smart home computing tasks and traditional DSM in a smart way. In this paper, we investigate an integrated home energy management system (HEMS) that participates in a DSM program and implements smart home computation tasks by offloading tasks with the help of a Smart Home Operation Platform (SHOP). The goal of HEMS is to maximize the user’s expected total reward, defined as the reward from completing computing tasks minus the cost of energy consumption, execution delay, running the SHOP servers, and the penalty of violating the DSM requirements. We solve this task scheduling based DSM problem using a deep reinforcement learning method. The DSM program considered in this paper requires the household to reduce a certain amount of energy consumption within a specified time window, which, in stark contrast to the well-studied real-time pricing, results in a long-term temporal interdependence and thus a high-dimensional state space in our formulated problem. To address this challenge, we use the Deep Deterministic Policy Gradient (DDPG) method to characterize the high-dimensional state space and action space, which uses deep neural networks to estimate the state and to generate the action. Experimental results show that our proposed method achieves better performance gains over reasonable baselines.
Finite-time cluster synchronization of coupled dynamical systems with impulsive effects

In our paper, the finite-time cluster synchronization problem is investigated for the coupled dynamical systems in networks. Based on impulsive differential equation theory and differential inequality method, two novel Lyapunov-based finite-time stability results are proposed and be used to obtain the finite-time cluster synchronization criteria for the coupled dynamical systems with synchronization and desynchronization impulsive effects, respectively. The settling time with respect to the average impulsive interval is estimated according to the sufficient synchronization conditions. It is illustrated that the introduced settling time is not only dependent on the initial conditions, but also dependent on the impulsive effects. Compared with the results without stabilizing impulses, the attractive domain of the finite-time stability can be enlarged by adding impulsive control input. Conversely, the smaller attractive domain can be obtained when the original system is subject to the destabilizing impulses. By using our criteria, the continuous feedback control can always be designed to finite-time stabilize the unstable impulsive system. Several existed results are extended and improved in the literature. Finally, typical numerical examples involving the large-scale complex network are outlined to exemplify the availability of the impulsive control and continuous feedback control, respectively.
An Efficient Brute Force Attack Handling Techniques for Server Virtualization

Security of server in all contexts is dominating in every field of computing, while working on the servers numerous threats and attacks like cracking of passwords, knowing the root of machine, giving privilege to unauthorized users are common attacks that can harm the system and take access of servers. The most prevalent commands like Hydra and Medusa, Ncrack are there which can be used for cracking the passwords of server and unauthorized users can take the access of serverby applying these commands. In this paper we will consider brute force attack and its tools with its implementation and prevention ways or techniques to avoid these types of attacks.
Predicting the Severity of Symptoms of the COVID Stress Syndrome From Personality Traits: A Prospective Network Analysis

Psychological stress reactions to the COVID-19 pandemic are complex and multifaceted. Research provides evidence of a COVID Stress Syndrome (CSS), consisting of (1) worry about the dangerousness of getting infected with SARSCoV2 and coming into contact with infected surfaces, (2) worry concerning the personal socioeconomic consequences of COVID-19, (3) xenophobic fears that SARSCOV2 is being spread by foreigners, (4) COVID-19-related traumatic stress symptoms (e.g., nightmares), and (5) compulsive checking and reassurance-seeking about COVID-19. Little is known about how these symptoms are related to vulnerability and protective personality factors. Based on data from 1,976 US and Canadian adults, we conducted a prospective network analysis in which personality factors were initially assessed at Time 1 and then symptoms of the CSS were assessed at Time 2, 2.5 months later. Results indicated that trait optimism and trait resilience were negatively associated with negative emotionality, suggesting a modulatory (inhibitory) influence. Negative emotionality was positively linked to the narrower traits of intolerance of uncertainty and health anxiety proneness. These narrower traits, in turn, were prospectively linked to symptoms of the CSS. Results suggest that the effects of broad personality traits (e.g., negative emotionality, trait resilience) on symptoms of the CSS were mediated by narrower traits such as the intolerance of uncertainty. Treatment implications are discussed.
Ground spiders (Arachnida, Araneae) associated with urban forest fragments in southern Amazon

Abstract: Forest fragments in urban areas comprise important habitats for a wide variety of species, however, conservationist policies for their maintenance and conservation are still incipient. This study examined the richness and abundance of the ground-spider assemblage in five forest fragments, with areas ranging between 18.5 and 103.98 ha, in the urban perimeter of Sinop, northern Mato Grosso State, southern Amazon region of Brazil. Sampling was carried out using the mini-Winkler extractor and pitfall traps in the dry (July) and rainy (November) seasons of 2017. All fragments were characterized in relation to the area and the Index of Biotic Integrity (IBI), to assess the effect of these variables on richness and abundance of soil spider assemblage. A total of 653 spiders were sampled, corresponding to 25 families and 52 species. Salticidae, Theridiidae, Lycosidae, Linyphiidae, Oonopidae and Symphytognathidae were the most abundant families (63.3% of the total sample). The assemblage was characterized by the dominance of hunting spiders (393 ind.; 60.2%) over web-building spiders (260 ind.; 39.8%). Greater spider abundance and richness was obtained during the rainy season (517 ind.; 79.2%; 41 spp.) as compared with the dry season (136 ind.; 20.8%; 24 spp.). Only 13 species occurred in dry and rainy season. Two species were recorded for the first time in the Amazon region, namely, Anapistula aquytabueraRheims & Brescovit, 2003 (Symphytognathidae) and Opopaea concolor (Blackwall, 1859) (Oonopidae). Species richness was not affected by IBI and area of fragment. Although the statistical model is not significant, species richness increases slightly with IBI and area of fragment. Similarly, abundance of spiders was not affected by IBI and area of fragment. Regardless of the area size, all evaluated forest fragments showed a low and regular IBI, demonstrating that these habitats have suffered with the pressures inherent from the urban perimeter, including the constant expansion of human occupation as well as misuse by the population. Nonetheless, these same fragments revealed considerable richness of species of ground spiders and can thus be categorized as important habitats for the maintenance of regional biodiversity. Therefore, action strategies must be set out to ensure their conservation.
EMO-5: Copernicus pan-European high-resolution meteorological data set for large-scale hydrological modelling

We present EMO-5, a Pan-European high-resolution (5 km), (sub-)daily, multi-variable meteorological data set especially developed to the needs of an operational, pan-European hydrological service (EFAS; European Flood Awareness System). The data set is built on historic and real-time observations coming from 18,964 meteorological in-situ stations, collected from 24 data providers, and 10,632 virtual stations from four high-resolution regional observational grids (CombiPrecip, ZAMG INCA, EURO4M-APGD and CarpatClim) as well as one global reanalysis product (ERA-Interim-land). This multi-variable data set covers precipitation, temperature (average, min and max), wind speed, solar radiation and vapor pressure; all at daily resolution and in addition 6-hourly resolution for precipitation and average temperature. The original observations were thoroughly quality controlled before we used the Spheremap interpolation method to estimate the variable values for each of the 5 x 5 km grid cells and their affiliated uncertainty. EMO-5 v1 grids covering the time period from 1990 till 2019 will be released as a free and open Copernicus product mid-2020 (with a near real-time release of the latest gridded observations in future). We would like to present the great potential EMO-5 holds for the hydrological modelling community.