Miracle-dz/UniFAR-FTUs huggingface dataset:
The Internalization Theory of Emotions: A Cultural Historical Approach to the Development of Emotions

Starting with an overview of theoretical approaches to emotion from an activity-oriented stance, this article applies Vygotsky's three general principles of development, sign mediation, and internalization to the development of emotional expressions as a culturally evolved sign system. The possible twofold function of expression signs as a means of interpersonal regulation and intrapersonal regulation predestines them to be a mediator between sociocultural and psychological processes in the domain of emotions. The proposed internalization theory of emotional development transfers Vygotsky's theory of the development of speech and thinking to the development of expression and feeling. Three stages of emotional development are described and underpinned by empirical studies: (a) the emergence of enculturated expression signs and related emotions from precursor emotions of newborns in the interpersonal regulation between caregivers and children during early childhood, (b) the emergence of intrapersonal regulation of emotions out of their interpersonal regulation by using expression signs as internal mediators that starts from preschool age onward, and (c) the internalization of emotional expression signs and the emergence of a mental plane of emotional processing.
MicroRNA Expression Aberration as Potential Peripheral Blood Biomarkers for Schizophrenia

Since brain tissue is not readily accessible, a new focus in search of biomarkers for schizophrenia is blood-based expression profiling of non-protein coding genes such as microRNAs (miRNAs), which regulate gene expression by inhibiting the translation of messenger RNAs. This study aimed to identify potential miRNA signature for schizophrenia by comparing genome-wide miRNA expression profiles in patients with schizophrenia vs. healthy controls. A genome-wide miRNA expression profiling was performed using a Taqman array of 365 human miRNAs in the mononuclear leukocytes of a learning set of 30 cases and 30 controls. The discriminating performance of potential biomarkers was validated in an independent testing set of 60 cases and 30 controls. The expression levels of the miRNA signature were then evaluated for their correlation with the patients' clinical symptoms, neurocognitive performances, and neurophysiological functions. A seven-miRNA signature (hsa-miR-34a, miR-449a, miR-564, miR-432, miR-548d, miR-572 and miR-652) was derived from a supervised classification with internal cross-validation, with an area under the curve (AUC) of receiver operating characteristics of 93%. The putative signature was then validated in the testing set, with an AUC of 85%. Among these miRNAs, miR-34a was differentially expressed between cases and controls in both the learning (P = 0.005) and the testing set (P = 0.002). These miRNAs were differentially correlated with patients' negative symptoms, neurocognitive performance scores, and event-related potentials. The results indicated that the mononuclear leukocyte-based miRNA profiling is a feasible way to identify biomarkers for schizophrenia, and the seven-miRNA signature warrants further investigation.
An all-zero blocks early detection method for high-efficiency video coding

The High Efficiency Video Coding has a significant compression performance benefit versus previous standards. Thanks to the high efficiency prediction tools, blocks with all-zero quantized transform coefficients are quite common in HEVC. The computation load of transform and quantization can be remarkably reduced if the all-zero blocks can be detected prior to transform and quantization. Based on the theoretical analysis of the integer transform and quantization process in HEVC, we propose some SAD thresholds under which all-zero block can be detected. Simulation results show that with our proposed method, nearly 37% time saving for computation time of transform and quantization can be saved.
A comparison of social costs and benefits of paper check presentment and ECP with truncation

Each year, about 60 billion checks are collected in the United States. While the shares of electronic payments methods such as the automated clearing house and credit and debit cards have been growing in recent years, the volume of checks has grown by more in absolute numbers during the last 20 years than all electronic payments methods combined. Partly because of their convenience, checks remain an extremely popular way to carry out transactions. Since it seems that checks will be around for the foreseeable future, it makes sense to try to improve the process of their collection. > This article compares the social costs and benefits of electronic check presentment with truncation to those of paper check processing. Even though ECP with check truncation was found to raise the net social benefits by 2.39 cents per check, or around $1.4 billion per year, several obstacles may prevent the private market from reaching universal truncation in the near future. The obstacles include transition costs, network externalities, uneven distribution of savings, an interim period of dual check processing (paper and electronic), and uncertainty surrounding check or image retrieval by paying banks. Despite these obstacles, there are reasons that it might be socially desirable to encourage ECP (through pricing policies, for example). However, the results presented here are too preliminary to specify any exact policy recommendations.
Hot upwelling conduit beneath the Atlas Mountains, Morocco

The Atlas Mountains of Morocco display high topography, no deep crustal root, and regions of localized Cenozoic alkaline volcanism. Previous seismic imaging and geophysical studies have implied a hot mantle upwelling as the source of the volcanism and high elevation. However, the existence, shape, and physical properties of an associated mantle anomaly are debated. Here we use seismic waveform analysis from a broadband deployment and geodynamic modeling to define the physical properties and morphology of the anomaly. The imaged low‐velocity structure extends to ~200 km beneath the Atlas and appears ~350 K hotter than the ambient mantle with possible partial melting. It includes a lateral conduit, which suggests that the Quaternary volcanism arises from the upper mantle. Moreover, the shape and temperature of the imaged anomaly indicate that the unusually high topography of the Atlas Mountains is due to active mantle support.
The Influence of Serotonin on Fear Learning

Learning of associations between aversive stimuli and predictive cues is the basis of Pavlovian fear conditioning and is driven by a mismatch between expectation and outcome. To investigate whether serotonin modulates the formation of such aversive cue-outcome associations, we used functional magnetic resonance imaging (fMRI) and dietary tryptophan depletion to reduce brain serotonin (5-HT) levels in healthy human subjects. In a Pavlovian fear conditioning paradigm, 5-HT depleted subjects compared to a non-depleted control group exhibited attenuated autonomic responses to cues indicating the upcoming of an aversive event. These results were closely paralleled by reduced aversive learning signals in the amygdala and the orbitofrontal cortex, two prominent structures of the neural fear circuit. In agreement with current theories of serotonin as a motivational opponent system to dopamine in fear learning, our data provide first empirical evidence for a role of serotonin in representing formally derived learning signals for aversive events.
Characterization of Endothelial Progenitor Cell Interactions with Human Tropoelastin

The deployment of endovascular implants such as stents in the treatment of cardiovascular disease damages the vascular endothelium, increasing the risk of thrombosis and promoting neointimal hyperplasia. The rapid restoration of a functional endothelium is known to reduce these complications. Circulating endothelial progenitor cells (EPCs) are increasingly recognized as important contributors to device re-endothelialization. Extracellular matrix proteins prominent in the vessel wall may enhance EPC-directed re-endothelialization. We examined attachment, spreading and proliferation on recombinant human tropoelastin (rhTE) and investigated the mechanism and site of interaction. EPCs attached and spread on rhTE in a dose dependent manner, reaching a maximal level of 56±3% and 54±3%, respectively. EPC proliferation on rhTE was comparable to vitronectin, fibronectin and collagen. EDTA, but not heparan sulfate or lactose, reduced EPC attachment by 81±3%, while full attachment was recovered after add-back of manganese, inferring a classical integrin-mediated interaction. Integrin αVβ3 blocking antibodies decreased EPC adhesion and spreading on rhTE by 39±3% and 56±10% respectively, demonstrating a large contribution from this specific integrin. Attachment of EPCs on N-terminal rhTE constructs N25 and N18 accounted for most of this interaction, accompanied by comparable spreading. In contrast, attachment and spreading on N10 was negligible. αVβ3 blocking antibodies reduced EPC spreading on both N25 and N18 by 45±4% and 42±14%, respectively. In conclusion, rhTE supports EPC binding via an integrin mechanism involving αVβ3. N25 and N18, but not N10 constructs of rhTE contribute to EPC binding. The regulation of EPC activity by rhTE may have implications for modulation of the vascular biocompatibility of endovascular implants.
1-Butyl-3-Methylimidazolium Tetrafluoroborate Film as a Highly Selective Sensing Material for Non-Invasive Detection of Acetone Using a Quartz Crystal Microbalance

Breath acetone serves as a biomarker for diabetes. This article reports 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF4]), a type of room temperature ionic liquid (RTIL), as a selective sensing material for acetone. The RTIL sensing layer was coated on a quartz crystal microbalance (QCM) for detection. The sensing mechanism is based on a decrease in viscosity and density of the [bmim][BF4] film due to the solubilization of acetone leading to a positive frequency shift in the QCM. Acetone was detected with a linear range from 7.05 to 750 ppmv. Sensitivity and limit of detection were found to be 3.49 Hz/ppmv and 5.0 ppmv, respectively. The [bmim][BF4]-modified QCM sensor demonstrated anti-interference ability to commonly found volatile organic compounds in breath, e.g., isoprene, 1,2-pentadiene, d-limonene, and dl-limonene. This technology is useful for applications in non-invasive early diabetic diagnosis.
Capturing a Star Formation Burst in Galaxies Infalling onto the Cluster A1367

The discovery of a striking astrophysical laboratory in the cluster of galaxies A1367 by Sakai and coworkers is confirmed with independent imaging and spectroscopic observations and further investigated in the present analysis. Two giant and 10 dwarf/H II galaxies, members of a group, are simultaneously undergoing a burst of star formation. Redshift measurements suggest that the group galaxies are in the process of falling into the cluster at very high speed. We explore two possible mechanisms that could have triggered the short-lived stellar burst that we are witnessing: the first, internal to the group itself, via tidal interactions among its members, the hypothesis favored by Sakai et al.; the second associated with the high-velocity infall of the group galaxies into the cluster intergalactic medium. We present evidence in favor of and against the two hypotheses.
Effect of Microbial Phytase on Performance, Nutrient Absorption and Excretion in Weaned Pigs and Apparent Ileal Nutrient Digestibility in Growing Pigs

Two experiments were conducted to evaluate the efficacy of Trichoderma reesei derived phytase for pigs fed diets with fixed calcium to total phosphorus ratios (1.5:1). In Exp. 1, 280 weaned pigs (initial BW of kg) were allocated to one of five dietary treatments on the basis of weight and gender in a randomized complete block design. Treatments were the low phosphorus (0.6% Ca, 0.4% total P and 0.23% available P) diets supplemented with 0, 250, 1,000, or 2,000 FTU phytase/kg of diet and a positive control diet (PC; 0.85% Ca, 0.58% total P and 0.37% available P). The treatments were applied to seven pens with eight pigs per pen, half male and half female. In Exp. 2, six barrows fitted with ileal T-cannula (initial BW = kg) were assigned to three dietary treatments with a double Latin square design. The dietary treatments were the low-phosphorus diet (0.53% Ca, 0.34% total P and 0.14% available P), the low phosphorus diet plus 1,000 FTU phytase/kg and a positive control diet (0.77% Ca, 0.50% total P and 0.30% available P). In Exp. 1, there were linear increases (p
Multiobjective Pareto-Efficient Approaches for Recommender Systems

Recommender systems are quickly becoming ubiquitous in applications such as e-commerce, social media channels, and content providers, among others, acting as an enabling mechanism designed to overcome the information overload problem by improving browsing and consumption experience. A typical task in many recommender systems is to output a ranked list of items, so that items placed higher in the rank are more likely to be interesting to the users. Interestingness measures include how accurate, novel, and diverse are the suggested items, and the objective is usually to produce ranked lists optimizing one of these measures. Suggesting items that are simultaneously accurate, novel, and diverse is much more challenging, since this may lead to a conflicting-objective problem, in which the attempt to improve a measure further may result in worsening other measures. In this article, we propose new approaches for multiobjective recommender systems based on the concept of Pareto efficiency—a state achieved when the system is devised in the most efficient manner in the sense that there is no way to improve one of the objectives without making any other objective worse off. Given that existing multiobjective recommendation algorithms differ in their level of accuracy, diversity, and novelty, we exploit the Pareto-efficiency concept in two distinct manners: (i) the aggregation of ranked lists produced by existing algorithms into a single one, which we call Pareto-efficient ranking, and (ii) the weighted combination of existing algorithms resulting in a hybrid one, which we call Pareto-efficient hybridization. Our evaluation involves two real application scenarios: music recommendation with implicit feedback (i.e., Last.fm) and movie recommendation with explicit feedback (i.e., MovieLens). We show that the proposed Pareto-efficient approaches are effective in suggesting items that are likely to be simultaneously accurate, diverse, and novel. We discuss scenarios where the system achieves high levels of diversity and novelty without compromising its accuracy. Further, comparison against multiobjective baselines reveals improvements in terms of accuracy (from 10.4% to 10.9%), novelty (from 5.7% to 7.5%), and diversity (from 1.6% to 4.2%).
The kinematics of lopsided galaxies

Lopsidedness is a common feature in galaxies, both in the distribution of light and in the kinematics. We investigate the kinematics of a model for lopsided galaxies that consists of a disc lying off-centre in a dark halo, and circling around the halo centre. We search for families of stable, closed. non-crossing orbits, and assume that gas in our galaxies moves on these orbits. Several of our models show strong lopsided gas kinematics, especially those in which the disc spins around its axis in a retrograde sense compared with its motion around the halo centre. We are able to reproduce the H-1 velocity map of the kinematically lopsided galaxy NGC 4395. The lopsidedness in our models is most pronounced in the models where the halo provides a relatively large fraction of the total mass at small radii. This may explain why the gas shows lopsidedness more frequently in late-type galaxies, which are dominated by dark matter. Surfaces of section show large regions of irregular orbits in the models where the halo density is low. This may indicate that these models are unstable.
THE RELATIONSHIP BETWEEN BOARD SIZE, BOARD COMPOSITION, CEO DUALITY AND FIRM PERFORMANCE: EXPERIENCE FROM GHANA

The paper examined board characteristics and its impact on the performance of non-financial listed firms in Ghana. Data covering 11 year period (1990-2001) was used and analysis conducted within the panel data framework. The study shows that most Ghanaian firms adopt the two-tier board structure and are largely non-independent. The regression results, though relatively mixed, confirm other studies and show that there should be a clear separation of the two critical positions of CEO and board chairman in order to reduce agency cost for enhanced firm performance.
Methane production and energy partition of cattle in the tropics

The aim of this experiment was to determine CH4 production and energy partition for a range of diets fed to Bos indicus cattle. Six Brahman cattle were fed on three different diets in a replicated Latin square experiment over three periods. The diets were (1) long-chopped Angleton grass (Dicanthium aristatum) hay ad libitum (DM digestibility (DMD) 41 (se 2)%; 4 g N/kg), (2) long-chopped Rhodes grass (Chloris gayana) hay ad libitum (DMD 60 (se 1)%; 14 g N/kg) or (3) 2 kg long-chopped lucerne (Medicago sativa) hay/d plus a high-grain diet (ad libitum) (DMD 70 (se 1)%; 31 g N/kg). CH4 production was measured using confinement-type respiration chambers. Metabolizable energy intake (MJ/d) of cattle fed on Angleton grass (18·4 (se 2·0)) was lower (P< 0·01) than that for Rhodes grass (54·9 (se 2·1)), which was lower (P< 0·01) than that for the high-grain diet (76·7 (se 5·8)). CH4 production (g/d) for cattle fed on Rhodes grass (257 (se 14)) was higher (P< 0·01) than that for cattle fed on both the high-grain diet (160 (se 24)) and Angleton grass (113 (se 16)). CH4 conversion rate (MJ CH4 produced per 100 MJ gross energy intake) was not significantly different between cattle fed on Angleton (10·4 (se 1·1)) and Rhodes (11·4 (se 0·3)) grass, but was higher (P< 0·01) than for cattle fed on the high-grain diet (6·7 (se 0·7)). CH4 production (g/kg live-weight gain) was associated (P< 0·001) with both live-weight gain and feed: gain ratio. We conclude that the relationships between CH4 production, energy utilization and live-weight change of cattle fed on tropical forages differ from those of cattle fed on diets based on temperate forages.
Compact modeling of multiple-gate MOSFETs

This paper reviews recent development on compact modeling of multiple-gate MOSFETs. Starting with a core model based on the analytic potential solutions for the highly symmetric double-gate (DG) and surrounding-gate (SG) MOSFETs, an explicit solution to the implicit algebraic equations with high accuracy has been developed. With the addition of quantum, short-channel effects, and capacitance formulations, the core model for DG MOSFETs has been expanded into a full-blown compact model which has subsequently been calibrated and validated by FinFET hardware. In view of the various types of experimental multiple-gate MOSFETs developed, the DG and SG MOSFET models have been generalized to other less symmetric structures, including quadruple-gate, triple-gate, Omega-gate, and Pi-gate devices. Finally, research activities in other groups on multiple-gate MOSFETs are briefly summarized.
Image upsampling via spatially adaptive block-matching filtering

In this paper we present a novel wavelet-domain image upsampling algorithm based on iterative spatially adaptive filtering. A high-resolution image is reconstructed by alternating two procedures: spatially adaptive filtering and projection on the observation-constrained subspace. The Block-Matching and 3D filtering (BM3D) [3] technique is used to suppress ringing, and reconstruct missing wavelet detail coefficients. The BM3D algorithm exploits the local image statistics collected from similar blocks to extract local and non-local image features by 3D transform-domain shrinkage. It results in high-quality upsampled images, with sharp edges and practically no artifacts.
A high-resolution multi-channel time-to-digital converter (TDC) for high-energy physics and biomedical imaging applications

This paper presents the design of a wide-range multi-channel time-to-digital converter (TDC) for high-energy physics and biomedical imaging applications. The TDC architecture is based on coarse-fine two-level conversion scheme. Double 10-bit gray counters are designed for coarse conversion while a multiphase sampling technology based on array of delay-locked loops is proposed for fine conversion. The resolution range is achieved from 71 ps to 142 ps by use of a reference clock from 100 MHz to 50 MHz. The measured range of the TDC is 10 µs. A prototype chip of 3-channel TDC for PET imaging system is designed and fabricated in AMS 0.35 µm CMOS technology. The area of the chip is 8.4 mm2 in size. The differential nonlinearity is ±0.1 LSB. The integral nonlinearity is ±0.1 LSB. The circuits will be extended to 64 channels for small animal PET imaging system.
A learning curve primer for software engineers

I believe that many software engineers have heard of learning curves. We know that new skills take time to learn, that developers take a while to ramp up on a new project, and that improvement slows as time goes on. I also believe that we share many misconceptions about learning curves. We don't assume that learning curves are relevant to our software projects and we don't use them in our processes. In this paper, I want to raise the level of understanding of learning curves within the Software Engineering community. This paper is for managers and developers who want to better understand learning curves.Learning curves are much more than a hurdle to full productivity. They are both a metaphor and a specific set of equations that describe the most common patterns of improvement within stable processes. Learning curves explain why the productivity of a stable process changes the way that it does, why productivity is lowest at the start of a project and highest at the end of a project. Learning curves explain that though the improvements diminish throughout the process, the improvements continue adding up. And, we can use learning curves to predict future productivity.This paper is laid out as follows. In the first section, I define learning curves, describe their history, and argue that they apply to Software Engineering. In the second section, I describe the need to both stabilize and improve a process. Our concept of process influences how we try to improve it, so I discuss the implications of two different concepts of process. Learning curves denote the relationship between stability and improvement. In the third section, I discuss the implications of learning curves on staffing a project. Specifically, I show that Brooks's observations about man-months can be explained in terms of learning curves and that we need to keep teams together on long-term projects. And in the fourth section, I comment on several technical issues one might encounter when applying learning curves to software development. I describe the equations one might use to model a process as well as the affect learning curves typically have on software engineering projects.