Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a Formal Ontology to Support Interoperability Across Multiple Product Lifecycle Domains

The advancements in computer systems have led to the replacement of various traditional manual manufacturing activities with Information & Communication Technology (ICT) tools. In a highly competitive world, it is imperative for different manufacturing systems to have interoperability in order to aid better, faster and cheaper production. However, different manufacturing domains have different data structures, syntaxes and semantics which lead to problems in interoperability and knowledge sharing. Interoperability issues can potentially be resolved if a computationally interpretable ontology can provide a basis for common understanding across different manufacturing domains. Although researchers have proposed manufacturing ontologies, the number of manufacturing domains addressed and the formalization have been limited. Research work is required to develop a formal core manufacturing ontology that supports various product lifecycle domains. This paper proposes a formal Product Lifecycle Ontology (PLO) to facilitate interoperability across multiple product lifecycle domains. The proposed ontology is semantically enriched comprising of core concepts, relations and axioms. The ontology is aimed at supporting interoperability not only across different manufacturing domains but also across different time frames. The proposed ontology contributes towards a reference manufacturing ontology that expands previous works and fills in the research gaps that exist within the area of formal manufacturing reference ontologies.
Effects of timed artificial insemination following estrus synchronization in postpartum beef cattle

The objectives of this study were to evaluate estrus response and pregnancy rates resulting from timed artificial insemination (AI) following estrus synchronization using CIDR in postpartum beef cattle. A total of 100 cows were randomly divided into three groups. Groups 1, 2 and 3 were artificially inseminated at 48-50 h (n=30), 53-55 h (n=30) and 58-60 h (n=40) after CIDR removal, respectively. Estrus synchronization was carried out using a CIDR containing 1.38 mg progesterone. All cows were given 2 mg estradiol benzoate, intramuscularly on the day of CIDR insertion (D 0). The CIDR was removed after 8 days and 125 μg of prostaglandin F2α (PGF2α) was injected intramuscularly. One day after CIDR removal all cows were given 1 mg of estradiol benzoate intramuscularly (D 9). Cows were observed visually for estrus after removal of CIDR. Between 30 and 32 days after timed AI, pregnancy was determined using transrectal ultrasonography. The first estrus observation which is approximately 32 h after CIDR removal showed no significant difference (P>0.05) among the three groups. The onset response of estrus after 32 h removal of CIDR was less than 10% in all three groups 6.6% (G1), 6.8% (G2) and 7.3% (G3). Furthermore, percentages of estrus response (D 10) following CIDR removal were 76.6%, 75.0% and 77.5%. The difference between on D 9 and D 10 estrus response were statistically significant (P<0.05). The pregnancy rates were 23.3% (G1), 26.6% (G2) and 37.5% (G3), which were not significant (P>0.05).
The Functional TP53 rs1042522 and MDM4 rs4245739 Genetic Variants Contribute to Non-Hodgkin Lymphoma Risk

As a heterogeneous kind of malignances, Non-Hodgkin lymphoma (NHL) is the most common hematologic cancer worldwide with the significantly increased morbidity in China. Accumulated evidences demonstrated that oncoprotein MDM4 plays a crucial role in the TP53 tumor suppressor signaling pathway. An rs4245739 A>C polymorphism locating in the MDM4 3′-untranslated region creates a miR-191 target site and results in allele-specific MDM4 expression. In this study, we examined the association between this polymorphism as well as the TP53 Arg72Pro (rs1042522 G>C) genetic variant and Non-Hodgkin Lymphoma (NHL) risk in a Chinese Han population. Genotypes were determined in 200 NHL cases and 400 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression. We found significantly increased NHL risk among carriers of the TP53 72Pro allele compared with those with the 72Arg allele (P = 0.002 for the Pro/Pro genotype). We also observed a significantly decreased NHL risks among carriers of the MDM4 rs4245739 C allele compared with those with the A allele in Chinese (P = 0.014 for the AC genotype). Stratified analyses revealed the associations between these SNPs and NHL risk are especially noteworthy in young or male individuals. Additionally, the associations are much pronounced in NHL patients with B-cell lymphomas or grade 3 or 4 disease. Our results indicate that the TP53 Arg72Pro and the MDM4 rs4245739 polymorphisms contribute to NHL susceptibility and support the hypothesis that genetic variants in the TP53 pathway genes can act as important modifiers of NHL risk.
Upregulation of GABAA Current by Astrocytes in Cultured Embryonic Rat Hippocampal Neurons

Embryonic rat hippocampal neurons were cultured on poly-d-lysine (PDL) or a monolayer of postnatal cortical astrocytes to reveal putative changes in neuronal physiology that involve astrocyte-derived signals during the first 4 d of culture. GABA-induced Cl− current (IGABA) was quantified using outside-out and whole-cell patch-clamp recordings beginning at 30 min, when cells had become adherent. The amplitude and density (current normalized to membrane capacitance) of IGABA in neurons grown on astrocytes became statistically greater than that recorded in neurons grown on PDL after 2 hr in culture (HIC). Although the current density remained unchanged in neurons on astrocytes, that in neurons on PDL decreased and became statistically lower beginning after 2 HIC. The differences in amplitude and density of IGABA in the two groups of neurons were maintained during the 4 d experiment. The upregulation effect of astrocytes on neuronal IGABA required intimate contact between the neuronal cell body and underlying astrocytes. Suppression of spontaneous Cac2+ elevations in astrocytes by bis(2-aminophenoxy)ethane-N,N,N′,N′-tetra-acetic acid that was loaded intracellularly decreased their modulatory effects on IGABA. IGABA in all cells was blocked completely by bicuculline and exhibited virtually identical affinity constants, Hill coefficients, and potentiation by diazepam in the two groups. Outside-out patch recordings revealed identical unitary properties of IGABA in the two groups. More channels per unit of membrane area could explain the astrocyte enhancement of IGABA. The results reveal that cortical astrocytes potentiate IGABA in hippocampal neurons in a contact-dependent manner via a mechanism involving astrocyte Cac2+elevation.
Study of αB-Crystallin Expression in Gerbil BCAO Model of Transient Global Cerebral Ischemia

αB-crystallin (α-BC), the fifth member of mammalian small heat shock protein family (HspB5), is known to be expressed in many tissues and has a distinctive interaction with cytoskeleton components. In this study, we investigated that α-BC and microtubule-associated protein-2 (MAP-2), a neuron-specific cytoskeleton protein, were coexpressed in neurons of Gerbil cortex, while in subcortex Gerbil brains, we found that several MAP-2-negative glia cells also express α-BC. When subjected to 10-minute bilateral carotid artery occlusion (BCAO), an increment was observed in α-BC-positive cells after 6-hour reperfusion and peaked at around 7 days after. In the same circumstances, the number and the staining concentration of MAP-2 positive neurons significantly decreased immediately after 6-hour reperfusion, followed by a slow recovery, which is consistent with the increase of α-BC. Our results suggested that α-BC plays an important role in brain ischemia, providing the early protection of neurons by giving intracellular supports through the maintenance of cytoskeleton and extracellular supports through the protection of glia cells.
Synaptic Properties of SOM- and CCK-Expressing Cells in Dentate Gyrus Interneuron Networks

Hippocampal GABAergic cells are highly heterogeneous, but the functional significance of this diversity is not fully understood. By using paired recordings of synaptically connected interneurons in slice preparations of the rat and mouse dentate gyrus (DG), we show that morphologically identified interneurons form complex neuronal networks. Synaptic inhibitory interactions exist between cholecystokinin (CCK)-expressing hilar commissural associational path (HICAP) cells and among somatostatin (SOM)-containing hilar perforant path-associated (HIPP) interneurons. Moreover, both interneuron types inhibit parvalbumin (PV)-expressing perisomatic inhibitory basket cells (BCs), whereas BCs and HICAPs rarely target HIPP cells. HICAP and HIPP cells produce slow, weak, and unreliable inhibition onto postsynaptic interneurons. The time course of inhibitory signaling is defined by the identity of the presynaptic and postsynaptic cell. It is the slowest for HIPP–HIPP, intermediately slow for HICAP–HICAP, but fast for BC–BC synapses. GABA release at interneuron–interneuron synapses also shows cell type-specific short-term dynamics, ranging from multiple-pulse facilitation at HICAP–HICAP, biphasic modulation at HIPP–HIPP to depression at BC–BC synapses. Although dendritic inhibition at HICAP–BC and HIPP–BC synapses appears weak and slow, channelrhodopsin 2-mediated excitation of SOM terminals demonstrates that they effectively control the activity of target interneurons. They markedly reduce the discharge probability but sharpen the temporal precision of action potential generation. Thus, dendritic inhibition seems to play an important role in determining the activity pattern of GABAergic interneuron populations and thereby the flow of information through the DG circuitry.
Analysis of the delay and jitter of voice traffic over the Internet

In the future, voice communication is expected to migrate from the public switched telephone network (PSTN) to the Internet. Because of the particular characteristics (low volume and burstiness) and stringent delay and loss requirements of voice traffic, it is important to separate voice traffic from other traffic in the network by providing it with a separate queue. In this study, we conduct a thorough assessment of voice delay in this context. We conclude that priority queuing is the most appropriate scheduling scheme for the handling of voice traffic, while preemption of non-voice packets is strongly recommended for sub-10 Mbit/s links. We also find that per-connection custom packetization is in most cases futile, i.e. one packet size allows a good compromise between an adequate end-to-end delay and an efficient bandwidth utilization for voice traffic.
The Relationship Between Motivation Components and Preferred Learning Components among Students at International Univeristy of Sarajevo

Motivation plays an important role in all forms of the success, especially in language learning. Motivation in English language learning often conditions the academic achievement of the students. This and similar predicaments led SLA researchers to develop different methodologies to determine the level of motivation among different types of students. Therefore, this paper aims to determine motivation components of English language learning; preferred learning components/methods; and the relationships between motivational components and preferred learning components/methods among IUS students. For testing the main research questions, Smidth’s (2006) adopted questionnaire was distributed to 70 students at the International University of Sarajevo. The research findings indicated that extrinsic motivation (M = 34.15) was the highest motivational factor for the students. Expectation as a motivational factor (M= 26.4) was at the second place for the students. Motivational strength with the (M = 13.00) followed as the next motivational factor. Intrinsic motivation (M = 12.97), stereotypical attitudes toward Americans & British (M = 12.15), personal psychological needs (M =9.06) with their means as shown in the brackets were the least influential factors in students motivation. We have also found the correlation between the Motivational Components and the Preferred Learning components.
The Effect Of Manufacturing Characteristics On The Export Performance Of Manufacturing In Indonesia

The research aims are to estimate a structural model of the local competitiveness and to estimate FDI on the export performance of the manufacturing sector in Indonesia. This study uses data panel 33 provinces in Indonesia with time series 2004-2012. The results show that local competitiveness does not have direct effect on the performance of exports, but it affects through specialization level, the level of diversity, employment and economic growth. Furthermore, FDI has direct and significant effect on the export performance, but it does not affect through specialization level, the level of diversity, employment and economic growth.
Weak forms of elimination of imaginaries

We study the degree of elimination of imaginaries needed for the three main applications: to have canonical bases for types over models, to define strong types as types over algebraically closed sets and to have a Galois correspondence between definably closed sets B such that A ⊆ B ⊆ acl(A) and closed subgroups of the Galois group Aut(acl(A)/A). We also characterize when the topology of the Galois group is the quotient topology. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
A new region search method based on DOA estimation for speech source localization by SRP-PHAT method

Steered Response Power-PHAse Transform (SRP-PHAT) method has been already proposed and investigated for the sound source localization. Grid search methods can be used to find global maximum of SRP, but they are so computationally expensive that can not be used in real-time applications. In this paper, we have proposed a SRP-based localization method which works in cascade with a DOA estimation module; i.e. first the direction of speaker is recognized by one of the DOA estimation methods; after that, we bound the search region to a space fragment around estimated direction of speaker; then we use SRP-PHAT algorithm computations and volume contraction methods (such as SRC and CFRC) on this fragmentized regions and decrease computational costs to a large extent. By use of the data collected from different (speaker) scenarios, we demonstrate the accuracy and speed gained by proposed method.
How to Deal with Wicked Anaphora

This paper revises a framework (called AR-engine) capable of easily defining and operating models of anaphora resolution. The proposed engine envisages the linguistic and semantic entities involved in the cognitive process of anaphora resolution as represented in three layers: the referential expressions layer, the projected layer of referential expression’s features and the semantic layer of discourse entities. Within this framework, cases of anaphora resolution usually considered difficult to be tackled are investigated and solutions are proposed. Among them, one finds relations triggered by syntactic constraints, lemma and number disagreement, and bridging anaphora. The investigation uses a contiguous text from the belletrist register. The research is motivated by the view that interpretation of free language in modern applications, especially those related to the semantic web, requires more and more sophisticated tools.
Engineering a compliant muscle joint for dynamic locomotion in very rough terrain

In humanoid robotics, there is a long pursuit of making bipeds capable of walking in highly unstructured and roughly sensed environments. Within this goal, our objective is to develop a compliant bipedal humanoid robot, based on McKibben pneumatic actuators that can move in these terrains as well as quickly adapt to unpredicted variations on the contact state. We present here the first part of our work, focusing on the design, construction and control of a pneumatic robotic joint capable of achieving the control performance necessary for responding compliantly and accurately to contact transitions while delivering high forces needed to handle the physical challenges associated with rough terrains. In particular, we address our progress in the mechanical and embedded electronic design, actuator modeling, and compliant control strategies for a robotic joint based on fluidic pneumatic artificial muscles (PAMs). The proposed robotic joint has been validated experimentally, exploring various aspects of its performance as well as its shortcomings, but overall demonstrating the potential benefits of using pneumatic muscles.
Control of axonal caliber by neurofilament transport

The role of neurofilaments, the intermediate filaments of nerve cells, has been conjectural. Previous morphological studies have suggested a close relationship between neurofilament content and axonal caliber. In this study, the regenerating neuron was used as a model system for testing the hypotheses that neurofilaments are intrinsic determinants of axonal caliber, and that neurofilament content is controlled by the axonal transport of neurofilaments. This system was chosen because previous studies had shown that, after axotomy, axonal caliber was reduced within the proximal stump of the regenerating nerve and, because the relative amount of neurofilament protein undergoing axonal transport in regenerating axons was selectively reduced. The relationship between axonal caliber and neurofilament number was examined in a systematic fashion in both regenerating and control motor axons in rat L5 ventral root. Reconstruction of the spatial and temporal sequences of axonal atrophy in the proximal stump after axotomy showed that reductions in axonal caliber were first detected in the most proximal region of the root and subsequently progressed in a proximal-to-distal direction at a rate of 1.7 mm/day, which is identical to the rate of neurofilament transport in these neurons. Quantitative ultrastructural studies showed that these reductions in caliber correlated with a proportional decrease in the number of axonal neurofilaments but not microtubules. These results support the hypotheses that neurofilament content is a major intrinsic determinant of axonal caliber and that neurofilament content is controlled by the axonal transport of neurofilaments. On this basis, we suggest a role for neurofilaments in the control of axonal volume.
A 24h forecast of solar irradiance using echo state neural networks

Artificial neural networks have demonstrated to be good at timeseries forecasting problems, being widely studied in literature. In this study an artificial neural network model is introduced for modelling the solar irradiance. Forecasting of solar irradiance is in general significant for planning the operations of power plants which convert renewable energies into electricity. In particular, the possibility to predict the solar irradiance (up to 24h or even more) can become fundamental in making power dispatching plans. In this paper, a practical method for solar irradiance forecast using artificial neural network is presented. The proposed echo state neural networks model makes it possible to forecast the solar irradiance on the base of 24h using the present values of the mean hours solar irradiance, air temperature, humidity, and the wind speed. An experimental database of solar irradiance, air temperature, humidity, wind speed data (from October 17th 2013 to May 11th 2015) has been used. The database has been collected in Lucenec (48.33N 19.67E), Slovakia. The results indicate that the proposed model performs well, while the correlation coefficient between measured and forecasted solar irradiance is in the range 0.94 -- 0.97.
Gaussian Elimination Algorithm for HM Continuous Speech Recog

Nowadays, HMM-based speech recognition systems are used in many real time processing applications, from cell phones to automobile automation. In this context, one important aspect to be considered is the HMM model size, which directly determines the computational load. So, in order to make the system practical, it is interesting to optimize the HMM model size constrained to a minimum acceptable recognition performance. Furthermore, topology optimization is also important for reliable parameter estimation. Previous works in this area have used likelihood measures in order to obtain models with a better compromise between acoustic resolution and robustness. This work presents a new approach based on a Gaussian Importance Measure (GIM) used in the Gaussian Elimination Algorithm (GEA) for determining the more suitable HMM complexity. The results are compared to the classical Bayesian Information Criterion.
INVESTIGATING THE RELATIONSHIP BETWEEN UNIVERSITY STUDENTS’ USE OF SOCIAL MEDIA, LONELINESS AND DEPRESSION

It is observed that the relationship between the use of the social media by people and the loneliness and depression increases day by day. The main aim of this study is to examine the loneliness, depression and use of the social media by university students with different variables. The study group of the research consists of a total of 530 students during the spring term of the academic year 2014-2015. There was a significant difference among the faculties in terms of using the social media between the Faculties of Education and Theology and the average use of social media by the Faculty of Education was determined to be significantly higher. A significant difference emerged when the relationship between the use of the social media and the levels of depression is studied. Article visualizations:
Towards multimodal emotion recognition: a new approach

Multimedia indexing is about developing techniques allowing people to effectively find media. Content-based methods become necessary when dealing with large databases as people cannot possibly annotate all available content. Emotions are intrinsic in human beings and are known to be very important for natural interactions, decision making, memory, and many other cognitive functions. Current technologies allows exploring the emotional space by mean of content-based analysis of audio and video, but also thanks to other modalities such as the human physiology. In this paper, we present the latest development in the emotion recognition part of SAMMI [18] by mean of an extensive study on feature selection and the application of many of the principles we have presented in [17] and [15]. Then, we present the concepts of output thresholding, inverse thresholding, and profiling which we used for improving the results of the recognition. Finally, we present a study on the robustness to rotations and zoom of our feature point tracking system. Our experiments on the six prototypical emotions by Ekman and Friesen presented in the eNTERFACE'05 database result in as much as 75% correct recognition rate.