Miracle-dz/UniFAR-FTUs huggingface dataset:
PROGRAMMING OF COORDINATE MEASURING MACHINE USING GENETIC ALGORITHM

− The need for efficient and reliable tools for programming of CNC coordinate measuring machine is rapidly increasing in modern production. The proposed concept based on genetic algorithms assures generation and optimisation of NC measuring programs for measuring machine. Therefore the structure, undergoing simulated evolution, is the population of NC measuring programs. The NC measuring programs control the tactile probe, which performs simple elementary motions in the discrete measuring area. During the simulated evolution the probe movement becomes more and more optimised and intelligent solutions emerge gradually as a result of the low level interaction between the simple probe movements and the measuring environment. Different examples of CNC programming of measuring machine are given. Results show universality and inventiveness of the approach.
The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System

In the lower limb exoskeleton assistance system, motion intention understanding based on biological signals is the human–computer interface’s (HMIs) key technology. Due to the close coupling of human and machine, wheelchair-type control modes (combination of motion intentions and switches of different actions) are not applicable. For example, the right-/left-hand motor imagery (MI) controls the exoskeleton to move forward/stop. There is a mismatch between MI-based control instructions and actual actions because the forward process alternates between left and right. Therefore, this study aims to design a reasonable HMI for a lower limb exoskeleton assistance system and to prove its rationality and effectiveness. We have designed a new HMI combining the human walking process and multimodal biosignals. Experimental data were collected from 14 subjects. We use feature-based and end-to-end analysis methods to analyze multimode signals. In a feature-based analysis, the advantage of using surface electromyographic (sEMG) to distinguish between different movements does not apply to distinguishing different magnitudes of the same movement. A time-frequency subband selection method based on difference patterns is designed for electroencephalogram (EEG) signals in the feature-based analysis. The fusion of EEG and sEMG is implemented to complement each other. The average recognition rate of the multimodal HMI was evaluated to be up to 89.5%, which is 12% and 7.8% higher than that of EEG and sEMG, respectively. Based on end-to-end analysis, a time-domain (TD) translation strategy was used to expand the sample and obtain a cross-subject identification rate of 83.6%. All the results indicate that the designed HMI is rational and effective, and there exists potential for practical application.
Sequential Cytoprotective Responses to Sigma1 Ligand–Induced Endoplasmic Reticulum Stress

The Sigma1 receptor (Sigma1) is an endoplasmic reticulum (ER) integral membrane protein that is highly expressed in a number of cancer cell lines. Small molecule compounds targeting Sigma1 (Sigma1 ligands) inhibit cancer cell proliferation and induce apoptotic cell death in vitro and inhibit tumor growth in xenograft experiments. However, the cellular pathways activated by Sigma1 protein-ligand interaction are not well defined. Here, we find that treatment with some Sigma1 ligands induces ER stress and activates the unfolded protein response (UPR) in a dose- and time-responsive manner in a range of adenocarcinoma cell lines. Autophagy is engaged after extended treatment with Sigma1 ligands, which suggests that protracted UPR results in autophagy as a secondary response. Inhibition of UPR by RNAi-mediated knockdown of inositol-requiring enzyme 1α and activating transcription factor 4 abrogates autophagosome formation, as does knockdown of essential autophagy gene products Beclin1 and autophagy protein 5. Knockdown of Sigma1 also suppresses IPAG [1-(4-iodophenyl)-3-(2-adamantyl) guanidine] induced UPR marker and autophagosome levels, indicating that this response is indeed Sigma1mediated. We find that UPR activation precedes autophagosome formation and autophagy precedes apoptosis in Sigma1 ligand-treated cells. These processes are reversible, and washout of IPAG before cell death results in a return of autophagosomes and UPR markers toward basal levels. However, inhibition of Sigma1 ligand–induced UPR or autophagy accelerates apoptotic cell death. Together, these data suggest that UPR and autophagy are engaged as primary and secondary cytoprotective responses, respectively, to Sigma1 ligand–induced disruption of cancer cell protein homeostasis.
Improving Students’ Participation in Learning Vocabulary Through Experiential Learning Method

The study was a classroom action research (CAR). The aim was to investigate how experiential learning method could improve the participation of the seventh grade students at SMPN 11 Satap Belimbing of vocabulary learning. The researcher used observation checklist, field note and vocabulary test to be used in two cycles in this research. This research result showed that the students in the first cycle were enthusiasm in activities, but the students still passive because it was a new method, in order that it continue to the next cycle. The second cycle showed that the students were more active and energetic in the learning process. They also looked good attitudes and the class was comfortable and the brainstorming in the beginning of class well worked very well and the the class was controlled by teacher in applying experiential learning method. In short, the students had an increasing in participating the teaching and learning process through experiential learning method. In addition, the researcher recommended the experiential learning method can be applied in teaching vocabulary in the classroom.Keywords: Students’ Participation, Experiential Learning Method, vocabulary.
Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription Systems

Recent research in music genre classification hints at a glass ceiling being reached using timbral audio features. To overcome this, the combination of multiple different feature sets bearing diverse characteristics is needed. We propose a new approach to extend the scope of the features: We transcribe audio data into a symbolic form using a transcription system, extract symbolic descriptors from that representation and combine them with audio features. With this method, we are able to surpass the glass ceiling and to further improve music genre classification, as shown in the experiments through three reference music databases and comparison to previously published performance results.
Understanding Agreement in Giver and Receiver Intentions on Grasp in Human-Human Handover

Fluency of handover is an essential component of human-human and human-robot collaboration. A number of approaches use multi-person handover studies to draw conclu-sions that inform human-robot handover behavior. Most human-human handover studies consist of objective measurements of motion or biofeedback, and lack subjective giver and receiver perceptions. Using data from a large-scale study on handover using 204 objects distributed amongst 48 human-human dyads created from amongst 32 recruited subjects, we observe that in 27. 6 4% of grasps, the intentions of giver and/or receiver on grasp are not met, indicating lack of success in the handover for over a quarter of the cases. Our findings suggest that robotic algorithms that learn human-human handover data should be trained to demonstrate cognizance of actual versus intended behavior to ensure fluency of handover.
EFFECT OF GAMMA IRRADIATION ON VEGETATIVE GROWTH AND BIOCHEMICAL CHANGES OF CUMIN PLANTS

Gamma irradiation has emerged as a promising approach to enhance yield and quality of various crops. The aim of the current work was to assess the effect of various gamma irradiation doses (0, 100, 150, 200, 250 and 300 Gy) on the vegetative growth, biochemical changes and oil yield of cumin plants during the two consecutive seasons of 2020/2021 and 2021/2022 at the Experimental Farm of Sakha Horticulture Research Station, Kafr El-Sheikh Governorate, Egypt in a randomized complete blocks design with three replications. The results showed that low doses of gamma irradiation significantly enhanced vegetative growth and yield characteristics, photosynthetic pigments, antioxidant activity and oil yield. On the other hand, as the applied doses increased, plant height, number of branches, dry weight, chlorophyll content and oil yield were decreased, while carotenoid and phenolic content were increased as defence mechanism against elevated irradiation doses compared to the control. The genetic advance (GA%) and the high heritability (Hb%) values indicated that the second generations may show additional advancements.
Integration of a Chatbot to Facilitate Access to Educational Content in Digital Universities

Digital universities have been developed in several countries, particularly on the African continent, to meet the need for massification in the higher education sector. However, the lack of physical space is a major drawback, preventing learners from succeeding and increasing the drop-out rate compared with a conventional university. In these digital universities, learners use distance learning platforms to complete their training. For a good training, mastery of the fundamental modules is essential. With the frequent use of messaging applications, the integration of Artificial Intelligence (AI) could promote and facilitate access to educational content and enhance their learning experience. In this article, we propose a model for integrating a chatbot that will enable learners to access training modules to increase their knowledge and master core modules through formative skills assessments. The model we propose is based on the use of Machine Learning (ML) with the Rasa open-source framework and the Moodle Learning Management System (LMS) platform.
AGE AND TERRITORY-QUALITY EFFECTS ON FECUNDITY IN THE SPANISH IMPERIAL EAGLE (AQUILA ADALBERTI)

Abstract Over a period of 19 years, we studied 237 breeding attempts of Spanish Imperial Eagles (Aquila adalberti) in Doñana National Park (southwestern Spain), including 29 pairs with at least one immature member, to investigate age-related effects on population fecundity. Without considering effect of territory quality, adult pairs were significantly more productive than immature pairs. Highly significant differences in breeding performance among territories were independent of age-classes of birds occupying them. Low-quality territories were more frequently occupied by immature pairs, whereas high-quality territories were occupied mostly or exclusively by adult birds. Therefore, age and territory quality appear to be interrelated. We found no effect on average population fecundity due to breeding by immature pairs.
Requirement of phosphatidylinositol-3 kinase modification for its association with p60src

When purified p60v-src was mixed with lysates of chicken embryo fibroblasts and immunoprecipitated with anti-Src antibody, phosphatidylinositol (PI)-3 kinase activity was found to be present in the Src protein immunoprecipitates. The level of bound PI-3 kinase activity was 5 to 10 times higher in lysates obtained from cells transformed by the src, fps, or yes oncogene than in lysates of uninfected cells. This increase in associated PI-3 kinase activity appears to be due to increased binding of this enzyme to p60v-src. This change most likely resulted from tyrosine phosphorylation of PI-3 kinase or an associated protein, since the PI-3 kinase activity that can bind to p60v-src was depleted by antiphosphotyrosine antibody. Binding of PI-3 kinase did not require either p60src protein kinase activity or autophosphorylation of p60v-src tyrosine residues. Furthermore, binding was markedly decreased by deletions in the N-terminal SH2 region but unchanged by deletion of the C-terminal half of p60v-src containing the catalytic domain. Taking these data together, it appears that PI-3 kinase or its associated protein is phosphorylated on tyrosine and that the phosphorylated form can bind to the N-terminal half of p60v-src, which contains the SH2 domain.
Complexity Results for Propositional Closed World Reasoning and Circumscription from Tractable Knowledge Bases

This paper presents new complexity results for propositional closed world reasoning (CWR) from tractable knowledge bases (KBs). Both (basic) CWR, generalized CWR, extended generalized CWR, careful CWR and extended CWR (equivalent to circumscription) are considered. The focus is laid on tractable KBs belonging to target classes for exact compilation functions: Blake formulas, DNFs, disjunctions of Horn formulas, and disjunctions of renamable Horn formulas. The complexity of inference is identified for all the forms of CWR listed above. For each of them, new tractable fragments are exhibited. Our results suggest knowledge compilation as a valuable approach to deal with the complexity of CWR in some situations.
Key to the North American tribes and genera of herb, rose, bramble, and inquiline gall wasps (Hymenoptera, Cynipoidea, Cynipidae sensu lato)

Robust keys exist for the family-level groups of Cynipoidea. However, for most regions of the world, keys to genera are not available. To address this gap as it applies to North America, a fully illustrated key is provided to facilitate identification of the tribes and genera of rose gall, herb gall, and inquiline gall wasps known from the region. For each taxon covered, a preliminary diagnosis and an updated overview of taxonomy, biology, distribution, and natural history are provided.
No-Reference Image Quality Assessment using Level-of-Detail

Traditionally, image quality assessment has involved the comparison of a corrupted image with an “original” or perfect version of that given image. In many practical settings, this perfect image is not available. This research introduces a new metric that measures the perceived visual quality of a single given image. Operating in this no-reference framework, the new method is ideally suited for real-world applications, including television monitoring and digital camera quality sensing. Much of the theoretical basis of this work centers on the notion of level-of-detail. Knowing whether an image is highly detailed or very smooth is important in both the detection and assessment of errors. At this time, three types of errors that commonly arise in practice are considered, namely noise, blur and compression. Each given image is assigned a score reflecting its perceived quality. Human test cases validate the new techniques.
From GMM to HMM for embedded password-based speaker recognition

Embedded speaker recognition in mobile devices involves a limited amount of computing resource but also is linked with several ergonomic constraints. For example both the enrolment and the test have to be done using short audio sequences. Even if they proved their efficiency in more classical situations, GMM/UBM based systems show their limits in this context. This paper deals with this problem and proposes to take into account the linguistic nature of the speech material inside the GMM/UBM framework. The proposed solution mixes the text-independent aspects of the GMM/UBM with a semi-continuous like approach in order to deal with the text-dependent information. This system respects both the resource and the ergonomic constraints of the considered application field. The preliminary experiments are done on the publicly available database ValidDB and show the potential of the proposed approach. Particularly, when compared to the GMM/UBM, our approach decreases drastically both the computational cost and the equal error rates when impostors don't know the user passwords. For other situations the performance remains comparable between both approaches.
Landscape valuation for planning ecotourism trails – case study

Abstract Landscape valuation for planning ecotourism trails - case study. Ecotourism is a type of tourism strictly connected with natural and cultural landscape values. This kind of idea of “green travel” is perfect option for people who want to relax and sightseeing rural municipalities. It is really important to design eco-tourism trails, which are very usefulness for tourists in this area. The paper is presented natural and cultural values of Piaseczno municipality. It was done landscape valorization, which are included natural and cultural elements of this area. The purpose was to distinguished the areas with the high natural and cultural landscape values for eco-tourism trail design. It was used bonitation points to assessment in scale from 1 point to 5 points. The results were presented on maps, including areas with high, medium, low and very low landscape values. It was distinguished areas with minimum 50% of the maximum number of points were considered attractive for design eco-tourism trails.
Bright and dark sides of impulsivity: Performance of women with high and low trait impulsivity on neuropsychological tasks

We administered a multidimensional measure of trait impulsivity (the UPPS-P impulsivity scale; Cyders et al., 2007) to a nonclinical sample of 155 individuals and selected 32 participants at the two ends of the trait impulsivity continuum: high (HI, n = 15) and low (LI, n = 17) impulsive women. We further tested these extreme groups on neuropsychological measures of motor impulsivity (go/no-go, d2), delay discounting (Now or Later Questionnaire), reflection impulsivity (Matching Familiar Figures Test), self-regulation (Revised-Strategy Application Test), and decision making (Iowa Gambling Task). High-trait-impulsivity women were found to commit more commission errors in the initial stage of the go/no-go task but also to make fewer omission errors in the d2 test than did low-trait-impulsivity women. Both effects can be accounted for by a lower response criterion in impulsive women. On the other hand, measures of delay discounting, reflection impulsivity, self-regulation, and decision making did not yield significant differences between the two groups. This pattern of results supports the idea that trait impulsivity in healthy women is linked to neurocognitive mechanisms involved in response monitoring and inhibition, but not to mechanisms involved in self-regulation or decision making. These findings temper the assumption that impulsivity is the core cause of dysfunctional risky and/or impulsive behavior in psychopathological or neuropsychological profiles.
Prescribed Performance-based Pipe Flying Control for Quadrotor Unmanned Aerial Vehicles

In this paper, subject to pipe constraints and unknown time-varying external disturbance, a prescribed performance control scheme combined with reference governor is proposed for the Quadrotor UAV system. Taking into account the pipe constraints in flight of the QUAV, a reference governor is developed based on model predictive control. A disturbance observer is employed to gauge the unknown external disturbance, and following this, a prescribed performance control scheme is established to follow the reference trajectory. By employing the Lyapunov stability theory, the stability of the complete closed-loop system is confirmed, guaranteeing the convergence of all signals within the closed-loop. Following this, numerical simulation outcomes are demonstrated to highlight the effectiveness of these control design methodologies.
Extracting a Verb Lexicon for Deep Parsing from FrameNet

We examine the feasibility of harvesting a wide-coverage lexicon of English verbs from the FrameNet semantically annotated corpus, intended for use in a practical natural language understanding (NLU) system. We identify a range of constructions for which current annotation practice leads to problems in deriving appropriate lexical entries, for example imperatives, passives and control, and discuss potential solutions.
Estimating Sample Size for Landscape-Scale Mark-Recapture Studies of North American Migratory Tree Bats

Concern for migratory tree-roosting bats in North America has grown because of possible population declines from wind energy development. This concern has driven interest in estimating population-level changes. Mark-recapture methodology is one possible analytical framework for assessing bat population changes, but sample size requirements to produce reliable estimates have not been estimated. To illustrate the sample sizes necessary for a mark-recapture-based monitoring program we conducted power analyses using a statistical model that allows reencounters of live and dead marked individuals. We ran 1,000 simulations for each of five broad sample size categories in a Burnham joint model, and then compared the proportion of simulations in which 95% confidence intervals overlapped between and among years for a 4-year study. Additionally, we conducted sensitivity analyses of sample size to various capture probabilities and recovery probabilities. More than 50,000 individuals per year would need to be captured and released to accurately determine 10% and 15% declines in annual survival. To detect more dramatic declines of 33% or 50% survival over four years, then sample sizes of 25,000 or 10,000 per year, respectively, would be sufficient. Sensitivity analyses reveal that increasing recovery of dead marked individuals may be more valuable than increasing capture probability of marked individuals. Because of the extraordinary effort that would be required, we advise caution should such a mark-recapture effort be initiated because of the difficulty in attaining reliable estimates. We make recommendations for what techniques show the most promise for mark-recapture studies of bats because some techniques violate the assumptions of mark-recapture methodology when used to mark bats.
Target Type Identification for Entity-Bearing Queries

Identifying the target types of entity-bearing queries can help improve retrieval performance as well as the overall search experience. In this work, we address the problem of automatically detecting the target types of a query with respect to a type taxonomy. We propose a supervised learning approach with a rich variety of features. Using a purpose-built test collection, we show that our approach outperforms existing methods by a remarkable margin.
The Role of the IGF Axis in Hepatocarcinogenesis

Primary hepatocellular carcinoma (HCC) is one of the most common forms of malignant cancer with the fourth highest mortality rate worldwide. Major risk factors for the development of HCC include chronic infections with the hepatitis B or C virus, alcohol consumption, exposure to dietary aflatoxin B1, hereditary liver disease or liver cirrhosis of any etiology. Recent studies have discovered changes in the insulin-like growth factor (IGF) axis that affect the molecular pathogenesis of HCC, including the autocrine production of IGFs, IGF binding proteins (IGFBPs), IGFBP proteases, and IGF receptor expression. Characteristic alterations detected in HCC and hepatoma cell lines comprise the overexpression of IGF-II and the IGF-I receptor emerging as critical events in malignant transformation and growth of tumors. Simultaneous reduction of IGFBP expression and the increase in proteolytic cleavage of IGFBPs result in an excess of bioactive IGFs. Finally, defective functions of the IGF-II/mannose 6-phosphate receptor involved in degradation of IGF II, the activation of the growth inhibitor TGF-beta1, and the lysosomal targeting of cathepsin proteases capable to degrade extracellular matrix proteins may contribute to the development of HCC.