Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of robotic work cells using object-oriented and agent-based approaches

Purpose: of this paper is to present agent-based and object-oriented approaches in the desingning of robotic work cells. The complexity of elements which form the robotic work cells causes that already at the design stage it is necessary to evolve the models that comply with different aspects of the conformation and principles of the operation of the workcell. Design/methodology/approach: The use of agent-based and object-oriented approaches during the process of robotized workcell's design, allows i.a. to systematize the knowledge about the designed workcell and simplifies the definition and analysis of relationship between its components. Most modern systems CAD/CAM uses object-oriented structure. They do not allow the creation of a direct structure agents. It is therefore necessary to show the relationship between the object and the agent. Findings: The relationship between object-oriented and agent-based model allow to fill the gap between them. Understanding of them could allow more efficient use of existing systems that are decicated for designing of robotic work cells. Research limitations/implications: The presented considerations are only the introduction to the further work on developing these methods for the use during the design process of robotic cell, and clearly do not cover all the issues involved, hence there are also other open issues for future research that could generalize the researches or could be a starting point for a new ones. These problems may concern e.g.: development of appropriate methods of communication and cooperation between the agents or the definition of the new agents that can act autonomously according to their own algorithms. Practical implications: The main objective is to build the base for modular and flexible system that will allow designing of robotic work cells using the methods presented in the paper. Due to high cost of such systems, there is no reason to make it from scratch. The better way is to integrate the existing applications and use the synergetic effect of such approach.
A Markov random field image segmentation model for lizard spots

This paper presents a Markov random field model to segment spots in Diploglossus millepunctatus lizard . Performance of three cost functions based on intensity, posterization and color are evaluated. Loopy belief propagation , dual decomposition and Graph cuts are used as inference algorithms and a preprocessing analysis based on local and global features with color spaces is performed. The model is proved in three different conditions and show a maximum efficiency of 84.87%
Intelligent Optimizing Control of Formation for UUVs Based on MAS

The multi-agent system(MAS) based strategy and corresponding implementing algorithms for UUVs formation navigation are proposed according to aviation characteristics and practical const raint s of UUVs.The coordinative optimizations among every individual UUV are carried out w ith flexible and smart w ays by interactive communications and information feedback in MAS so as to implement the autonomous formation navigation of UUVs.Furthermore the control law and corresponding algorithms of the UUV controller in the formation process are studied in depth based on the controller in the formation keeping and simulation result s verify the robustness and stability of the formation cont rollers.Finally,the formation intelligent control method w as verified by simulated verification and comparative analysis.
Evaluation of Linguistic Features Separately or Combined with Transformers for Solving Automatic Text Classification Tasks in Spanish

In this paper we describe the evaluation stage and analysis of the UMUTextStats tool for extracting linguistic features applied to text classification in several domains, including the identification of sexist or offensive comments, emotions, and a fine-grained analysis regarding what texts are funny and what mechanisms are involved to make them funny. These subtasks were organised by IberLEF and IberEval 2021 workshops. During the participation on these subtasks, the linguistic features were evaluated separately and combined with state-of-the-art transformers by means of ensembles and knowledge integration strategies, with the objective of achieve competitive results in all tasks. At the same time, we seek to improve our methods to obtain some interpretability of the results. In summary, our results suggest than the combination of different feature sets improves text classification tasks, especially when they are input in the same neural network.
The Tracking Control of the Variable-Order Fractional Differential Systems by Time-Varying Sliding-Mode Control Approach

: This paper is concerned with the problem of tracking control for a class of variable-order fractional uncertain system. In order to realize the global robustness of systems, two types of controllers are designed by the global sliding-mode control method. The ﬁrst one is based on a full-order global sliding-mode surface with variable-order fractional type, and the control law is continuous, which is free of chattering. The other one is a novel time-varying control law, which drives the error signals to stay on the proposed reduced-order sliding-mode surface and then converges to the origin. The stability of the controllers proposed is proved by the use of the variable-order fractional type Lyapunov stability theorem and the numerical simulation is given to validate the effectiveness of the theoretical results.
Title : Global-scale species distributions predict temperature-related changes in species composition of rocky shore communities in Britain Running title : Climate-related change in intertidal communities

Changes in rocky shore community composition as responses to climatic fluctuations and anthropogenic warming can be shown by changes in average species thermal affinities. In this study we derived thermal affinities for European Atlantic rocky intertidal species by matching their known distributions to patterns in average annual sea surface temperature. Average thermal affinities (the Community Temperature Index, CTI) tracked patterns in sea surface temperature from Portugal to Norway, but CTI for communities of macroalgae and plant species changed less than those composed of animal species. This reduced response was in line with the expectation that communities with a smaller range of thermal affinities among species would change less in composition along thermal gradients and over time. Local-scale patterns in CTI over wave exposure gradients suggested that canopy macroalgae allow species with ranges centred in cooler than local temperatures (“cold-affinity”) to persist in otherwise too-warm conditions. In annual surveys of rocky shores, communities of animal species in Shetland showed a shift in dominance towards warm-affinity species (“thermophilization”) with local warming from 1980 to 2018 but the community of plant and macroalgal species did not. From 2002 to 2018, communities in southwest Britain showed the reverse trend in CTI: declining average thermal affinities over a period of modest temperature decline. Despite the cooling, trends in species abundance were in line with the general mechanism of direction and magnitude of long-term trends depending on the difference between species thermal affinities and local temperatures. Cold-affinity species increased during cooling and warm-affinity ones decreased. The consistency of responses across different communities and with general expectations based on species thermal characteristics suggests strong predictive accuracy of responses of community composition to anthropogenic warming.
A New Maximum Inductive Power Transmission Capacity Tracking Method

In certain applications, such as IPT-based EV charger (IPTEC), any variation in alignment and distance between pickup and charger primary leads to a change in leakage and magnetic impedance magnitudes. The power transmission capacity is not always at the maximum level because of these variations. This study proposes a new low-cost tracking method that achieves the Maximum Inductive Power Transmission Capacity (MIPTC). Furthermore, in the proposed method, the exchange of information between load and source is not required. For an application such as IPTEC, the load detected by the IPTEC varies continuously with time because of the change in state of the charge. This load variation causes a significant variation in IPT resonant circuit voltage gain. However, the optimized charging output voltage should be kept constant. From the analysis of the behavior of the IPT circuit at different working frequencies and load conditions, a MIPTC operation point that is independent of load condition can be identified. Finally, the experimental results of a developed prototype IPT circuit test show the performance of the proposed method.
Prevalence and Genotyping of Anaplasma phagocytophilum Strains from Wild Animals, European Bison (Bison bonasus) and Eurasian Moose (Alces alces) in Poland

Simple Summary The populations of bison and moose, the largest wild ruminants in Poland, are growing every year. These animals return to Polish forests after many years of risk of extinction or, as in the case of European bison, are reintroduced step by step. Unfortunately, they are still rare and require close health surveillance and monitoring. One serious threat to their health and life is the bacterial parasite Anaplasma phagocytophilum. Moose and bison can also be sources of pathogenic bacteria for humans, which can be transferred through tick bites. In line with the World Health Organization (WHO) “OneHealth” program, indicating that animal health affects human health and vice versa, the following study examines the occurrence of Anaplasma phagocytophilum bacteria in European bison and Eurasian moose populations using molecular biology tools. Our results provide useful data regarding Anaplasma phagocytophilum that could be used in future strategies for the diagnosis and treatment of people and animals. Abstract Wild large ungulates, like European bison (Bison bonasus) and Eurasian moose (Alces alces), form an important part of the circulation of Anaplasma phagocytophilum, a Gram-negative, intracellular, tick-transmitted bacterium, in the natural environment. Bison and moose tissue samples were subjected to 16S rDNA, groEL and ankA partial gene marker amplification with specific primers using various variants of PCR. Out of 42 examined individuals, Anaplasma sp. were detected in 4/13 Eurasian moose (31%) and 7/29 European bison (24%). In addition, 12 groEL and 5 ankA partial gene positive samples were obtained from the examined animals. The phylogenetic analysis of the groEL partial gene classified samples from European bison to ecotype I, and samples from Eurasian moose to ecotype I and II; the analysis of the ankA partial gene assigned the samples to clusters I and IV. This study extends knowledge about A. phagocytophilum in wild large ungulates in Poland. This is the first report about the occurrence of Anaplasma sp. in one of the largest populations of free living European bison in the world. Our findings confirm that strains of A. phagocytophilum from Bison bonasus and Alces alces may constitute a natural reservoir of pathogenic HGA Anaplasma strains.
Perpetual Mobile Availability as a Reason for Communication Overload: Experiences and Coping Strategies of Smartphone Users

Mobile communication media such as smartphones have dramatically increased the social availability of users. The perpetual contact is experienced quite ambivalently, not only as a big advantage of technological development but also as a new reason for increasing communication overload. This chapter details how people evaluate mobile availability in their everyday lives and how they cope with experiences of overload and stress. Using the transactional theory of stress and coping (Lazarus & Cohen, 1977), data from a diary study and qualitative interviews with German smartphone users are analyzed. The findings emphasize the high level of subjectivity that influences how everyday experiences of smartphone usage and mobile availability are evaluated. Bernadette Kneidinger-Müller University of Bamberg, Germany Perpetual Mobile Availability
Maximizing safety margins in task-based design of redundant manipulators for cluttered environments

Kinematically redundant manipulators help in handling environmental constraints with extra degrees of freedom, but a large number of links may also lead to significant cumulative errors at the distal end, increasing the likelihood of collisions. The focus of this paper is to synthesize a robot with maximized tolerance to avoid potential collisions, while maneuvering in the workspace. A maximized-tolerance-based method in the design stage provides a significant margin to be utilized further during architectural planning and/or in error compensation against any joint clearance error. This is the main contribution of this paper. The strategy is applicable with even a large number of degrees of freedom. A measure, named as RoboGin, is defined both for a single configuration and for a set of configurations. Maximizing this metric over the large solution space of all robotic parameters provides an optimized design from the reliability perspective. The other requirements related to robot’s reachability at the specified task space locations (TSLs), kinematic conditioning and path connectivity are framed as constraints in the formulated optimization problem. The global solutions computed through a simulated annealing technique show significant improvements in overall safety margins even in highly cluttered environments and with a large number of links. Implementation of the proposed strategy is demonstrated through realistic cluttered environments of a power plant, for a leakage testing application.
Comparative Analysis of Neural Translation Models based on Transformers Architecture

: While processing customers’ feedback for an industrial company, one of the important tasks is the classification of customer inquiries. However, this task can produce a number of difficulties when the text of the message can be composed using a large number of languages. One of the solutions, in this case, is to determine the language of the text and translate it into a base language, for which the classifier will be developed. This paper compares open models for automatic translation of texts. The following models based on the Transformers architecture were selected for comparison: M2M100, mBART, OPUS-MT (Helsinki NLP). A test data set was formed containing texts specific to the subject area. Microsoft Azure Translation was chosen as the reference translation. Translations produced by each model were compared with the reference translation using two metrics: BLEU and METEOR. The possibility of fast fine-tuning of models was also investigated to improve the quality of the translation of texts in the problem area. Among the reviewed models, M2M100 turned out to be the best in terms of translation quality, but it is also the most difficult to fine-tune it.
Campylobacter infection in children and adults in Bulgaria: comparative characteristics and antimicrobial resistance

Abstract Campylobacter infection is a serious health problem worldwide. There is still insufficient information in Bulgaria about the spread and course of the infection. Data on campylobacteriosis in adults are particularly scarce. In our study, we performed a comparative analysis in patients in different age groups, including the resistance of isolated strains. In the period 2018-2020, a total of 1,120 patients hospitalised with acute diarrhoea syndrome, aged 0-97 years, were studied, and a total of 1,120 faecal samples were examined by culture techniques and multiplex polymerase chain reaction (PCR). The antimicrobial resistance of some of the isolates was determined. A total of 385 (34.37%) isolates belonged to Campylobacter spp. : 340 (88.31%) to Campylobacter jejuni and 45 (11.68%) C. coli, respectively. The highest incidence was observed in the youngest (< 5 years of age) and the oldest (≥ 65 years of age) patients. Elderly adults are most likely to present with poor and non-specific symptoms despite the severe course of the infection. We observed severe antimicrobial resistance to tetracycline in both young children and older adults (about 40%). In older adults, we observed high resistance to ciprofloxacin. Regarding the C. jejuni strains, the resistance was 19.07% in the youngest, but it reached 59.15% in older adults. The mimicry of the symptoms in older adults can be misleading for the clinician with regard both to the diagnosis and the severity of the infection.
Determined Yet Dehumanized: People Higher in Self-Control Are Seen as More Robotic

Desire is part of human nature, and being vulnerable to desire is part of what differentiates humans from machines. However, individuals with high self-control—who demonstrate impressive resistance to their desires—may appear to lack such human vulnerability. We propose that people perceived as high in self-control tend to be dehumanized as more robotic, relating to potentially negative social consequences. Across six studies (N = 2,007), people perceived those higher in self-control as more robotic. In addition, we found some evidence that this robotic-dehumanization was related to less interest in spending time with the high self-control person. This outcome was reliably linked to lower warmth perceptions that correlated with greater robotic-dehumanization. Together, our results offer new insights into the social dynamics of exhibiting high self-control.
Reliability Analysis of VOC Data for Opinion Mining

The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.
A 12-b Subranging SAR ADC Using Detect-and-Skip Switching and Mismatch Calibration for Biopotential Sensing Applications

This paper presents a 12-b successive approximation register (SAR) analog-to-digital converter (ADC) for biopotential sensing applications. To reduce the digital-to-analog converter (DAC) switching energy of the high-resolution ADC, we combine merged-capacitor-switching (MCS) and detect-and-skip (DAS) methods, successfully embedded in the subranging structure. The proposed method saves 96.7% of switching energy compared to the conventional method. Without an extra burden on the realization of the calibration circuit, we achieve mismatch calibration by reusing the on-chip DAC. The mismatch data are processed in the digital domain to compensate for the nonlinearity caused by the DAC mismatch. The ADC is realized using a 0.18 μm CMOS process with a core area of 0.7 mm2. At the sampling rate fS = 9 kS/s, the ADC achieves a signal-to-noise ratio and distortion (SINAD) of 67.4 dB. The proposed calibration technique improves the spurious-free dynamic range (SFDR) by 7.2 dB, resulting in 73.5 dB. At an increased fS = 200 kS/s, the ADC achieves a SINAD of 65.9 dB and an SFDR of 68.8 dB with a figure-of-merit (FoM) of 13.2 fJ/conversion-step.
Sustainability aspects of ten bedded pack dairy barns in The Netherlands

Een vrijloopstal onderscheidt zich ten opzichte van een ligboxenstal doordat het geen ligboxen heeft en geen mestkelders onder de roostervloer (referentie systeem). Het liggedeelte is tevens de mestopslag. Een vrijloopstal heeft daardoor een andere impact op de duurzaamheidsaspecten: economie, welzijn, melkkwaliteit, mestkwaliteit en milieu. In deze studie zijn deze duurzaamheidsaspecten onderzocht op 10 praktijkbedrijven met een vrijloopstal in Nederland.A bedded pack barn is a different type of housing for dairy cows compared to the common free stall barns with cubicles and slatted concrete floors with slurry storage underneath (reference system). A bedded pack barn presumably has a different impact on the sustainability aspects economics, animal welfare, milk quality, manure quality and environment. In the present study we have investigated these sustainability aspects on 10 bedded pack barns in the Netherlands.
Application of the optimization techniques to the structural design

In this paper is shown some examples of the use of optimization techniques in the current design of building structures. The examples include the different phases of the design, namely, the modelling. the dimensioning and the constructional phases. Although several optimization procedures exist here only the very well known Descent Steepest Gradient is used. From the use of these optimization techniques some design rules can be drawn. In a near future it is foreseen that the application of these optimization methods to the practical design will be standard.
A Transferable Adversarial Belief Attack With Salient Region Perturbation Restriction

Deep neural networks are vulnerable to adversarial examples which are crafted by adding small perturbations on benign examples. However, most existing attack methods often perform a poor transferability to attack black-box models, especially to attack defense methods. In addition, perturbations added to semantically irrelevant regions of benign examples are usually inefficient for attacks. To address these issues, we propose a transferable adversarial belief attack with salient region perturbation restriction method, which improves transferability of adversarial examples and decreases the amount of perturbations significantly. Specifically, we first design a salient-region-based perturbation restriction strategy to restrict the range of perturbations into a salient region. After that, we present a transferable belief attack method to generate the adversarial examples iteratively. Besides, our method can be easily integrated with other gradient-based transfer attack methods to further enhance the transferability of adversarial examples. Extensive experiments on the ImageNet dataset show that our method achieves higher transferability with lower perturbations than the state-of-the-art attack methods.