Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth and aging of facial soft tissues: A computerized three‐dimensional mesh diagram analysis

The normal growth, development, and aging of facial soft tissues was studied by three‐dimensional (3D) computerized mesh diagram analysis. The 3D coordinates of 50 soft‐tissue landmarks were collected from 591 healthy white northern Italians (351 males, 240 females) 6–40 years of age. For each gender and age class, mean values were computed, and a standardized mesh of equidistant horizontal, vertical, and anterior‐posterior lines was constructed. Within each age group, male meshes were superimposed on female meshes. For each gender, the 6‐year‐old reference mesh was superimposed on the reference mesh of each age group. The global (size plus shape) difference was evaluated by calculating the relevant displacement vectors for each landmark. Consequently, a size normalization was carried out and the shape difference was evaluated by calculating new relevant displacement vectors for each landmark. Growth and development were different along the three spatial planes: the largest increment was observed in the vertical dimension, with major modifications in the soft‐tissue profile. The vertical dimension in males increased even after 30 years of age: ear dimensions increased, trichion moved superiorly and posteriorly, and pogonion, menton, and gonion moved anteriorly and inferiorly. In all age groups, size‐standardized shape differences were found in the forehead, lower‐third facial profile, eyes, cheeks, and ears. In each age class, male dimensions were larger than female dimensions. During childhood, gender differences in size were limited; shape differences were even less manifest. Overall, the profile was more anterior and inferior, the gonia were more inferior and more lateral, the forehead was more anterior, and the ears were larger in males than in females of corresponding age. Clin. Anat. 16:420–433, 2003. © 2003 Wiley‐Liss, Inc.
Genetic evaluation of mastitis in dairy cattle in France

Genetic parameters of clinical mastitis were estimated for the three main French dairy breeds: Holstein, Montbeliarde and Normande. Records were clinical mastitis events reported by farmers to milk recording technicians and the analyzed trait was the binary variable describing the occurrence of a mastitis case within the first 150 days of a lactation. Low heritability estimates were found: between 2 and 4 % depending on the breed but the trait has significant genetic variance despite its low heritability: efficient genetic improvement is possible. Genetic correlations with other traits were estimated, showing large correlations (often >0.50, in absolute value) between clinical mastitis and somatic cell score (SCS), longevity and some udder traits. Correlation with milk yield was moderately large and unfavorable (r=0.26 to 0.30). High milking speed was genetically associated with less mastitis in Montbeliarde (r = -0.14) but with more mastitis in Holstein (r=0.18). Interbull genetic correlations are very high with Nordic countries, where much stricter recording systems exist (r =0.94). They were lower (around 0.80) with countries supplying SCS as a proxy for the international evaluation on clinical mastitis. Clinical mastitis has been included since 2010 in routine evaluations using a multiple trait animal model. Mastitis estimated breeding values (EBV) are combined with somatic cell scores EBV into an udder health index which receives a weight of 14.5% to 18.5% in the new French Total Merit Index (ISU) of the three breeds.
Molecular characterization of MARTA1, a protein interacting with the dendritic targeting element of MAP2 mRNAs

In neurones, the somatodendritic microtubule‐associated protein 2 regulates the stability of the dendritic cytoskeleton. Its extrasomatic localization appears to be a multicausal mechanism that involves dendritic mRNA trafficking, a process that depends on a dendritic targeting element in the 3′ untranslated region. Two rat MAP2‐RNA trans‐acting proteins, MARTA1 and MARTA2, exhibit specific high‐affinity binding to the dendritic targeting element. We have now affinity‐purified MARTA1 from rat brain. Analysis of proteolytic peptides revealed that rat MARTA1 is the orthologue of the human RNA‐binding protein KSRP. Rat MARTA1 is a 74‐kDa protein that contains four putative RNA‐binding domains and is 98% identical to human KSRP. Both purified rat MARTA1 and human KSRP preferentially bind to the dendritic targeting element, but do not strongly interact with other investigated regions of mRNAs encoding microtubule‐associated protein 2 and α‐tubulin. In rat brain neurones and cultured neurones derived from superior cervical ganglia, MARTA1 is primarily intranuclear, but is also present in the somatodendritic cytoplasm. Thus, MARTA1 may play a role in nucleocytoplasmic mRNA targeting.
Patch Antennas for Homogeneous Local Hyperthermia

The objective of this paper is to propose some patch antenna structures for local hyperthermia aiming homogeneous heating for different depths of penetration. The proposed antennas have two different patch geometries and the possibility of using them at lower frequencies allows more deep energy deposition. For a larger coverage area, arrays of patches are proposed and their corresponding obtained results are also presented. The simulations were done using FDTD - finite difference time domain method. The results are very interesting because they show how patch antennas can be used at different frequencies and with different geometries for hyperthermia
Identification and Description of Novel Mood Profile Clusters

Mood profiling has been a popular assessment strategy since the 1970s, although little evidence exists of distinct mood profiles beyond the realm of sport and exercise. In the present study, we investigated clusters of mood profiles derived from the six subscales of the Brunel Mood Scale using the In The Mood website. Mood responses in three samples (n = 2,364, n = 2,303, n = 1,865) were analyzed using agglomerative, hierarchical cluster analysis, which distinguished six distinct and theoretically meaningful profiles. K-means clustering further refined the final parameter solution. Mood profiles identified were termed the iceberg, inverse iceberg, inverse Everest, shark fin, surface, and submerged profiles. Simultaneous multiple discriminant function analysis showed that cluster membership was correctly classified with a high degree of accuracy. Chi-squared tests indicated that the six mood profiles were unequally distributed according to the gender, age, and education of participants. Future research should investigate the antecedents, correlates and consequences of these six mood profile clusters.
Evaluation sensitivity as a moderator of communication disorder in schizophrenia

Background Communication disturbance (thought disorder) is a central feature of schizophrenia that predicts poor functioning. We investigated the hypothesis that memory and attention deficits interact with beliefs about the gravity of being rejected (i.e. evaluation sensitivity) to produce the symptoms of communication disorder. Method Seventy-four individuals diagnosed with schizophrenia or schizo-affective disorder completed a battery of tests assessing neurocognition (attention, working and verbal memory, abstraction), symptomatology (positive, negative and affective), functioning, and dysfunctional beliefs. Results Patients with communication deviance (n=33) performed more poorly on the neurocognitive tests and reported a greater degree of sensitivity to rejection than patients with no thought disorder (n=41). In a logistic regression analysis, evaluation sensitivity moderated the relationship between cognitive impairment and the presence of communication disorder. This finding was independent of hallucinations, delusions, negative symptoms, depression and anxiety. Conclusions We propose that negative appraisals about acceptance instigate communication anomalies in individuals with a pre-existing diathesis for imperfect speech production.
Reinvigorating object biography: reproducing the drama of object lives

Abstract The World Archaeology volume ‘The Cultural Biography of Objects’ (Marshall and Gosden 1999) retains its currency ten years after its publication and the ideas highlighted in it continue to be developed. However, the relative success of biographical studies which rely on anthropological or historical information compared with biographical studies of prehistoric objects is evident. Through the example of a British Iron Age mirror this paper explores ways of redressing the difficulties of applying a biographical approach to prehistoric objects.
Efficient Detection and Imaging of Moving Targets in SAR Images Based on Chirp Scaling

An innovative scheme is presented for moving target detection and high-resolution focusing that exploits a bank of chirp scaling algorithms (CSA), each one matched to a different along track target velocity component. The new scheme is thought for multichannel (MC) synthetic aperture radar systems, to provide a high-resolution focusing of the moving targets. Adequate target detection capability is ensured by integrating the aforementioned bank of CSA with a post-Doppler space-time adaptive processing clutter cancellation step. The presented scheme is very efficient from a computational point of view and is able to achieve sub-clutter visibility for the moving targets. The effectiveness of the proposed techniques is shown with reference to an emulated MC data set.
Prediction Model for User's QoE in Imbalanced Dataset

Nowadays, the users of IPTV require better user experience and the media providers are interested in finding the key factors which will influence the Quality of Experience (QoE) and the way to predict the QoE. In this paper, we discuss the relationship between the status of IPTV set-top box and user's QoE. We first clean the dataset and conduct some statistical analysis in dataset. Then, we select the important features in key performance indicator (KPI) dataset by the feature selection technology. In addition, we compare the decision tree model and Adaboost model in KPI-user's complaint dataset which is a classical imbalanced dataset. Extensive experimental results demonstrate that in imbalanced KPI-user's complaint dataset Adaboost model performs better than the decision tree in terms of predicting the user's complaint, and importantly we design a cost coefficient for Adaboost model to achieve a higher accuracy.
SatiricLR: a Language Resource of Satirical News Articles

In this paper we introduce the Satirical Language Resource: a dataset containing a balanced collection of satirical and non satirical news texts from various domains. This is the first dataset of this magnitude and scope in the domain of satire. We envision this dataset will facilitate studies on various aspects of of sat- ire in news articles. We test the viability of our data on the task of classification of satire.
Student Resistance: How the Formal and Informal Organization of Classrooms Facilitate Everyday Forms of Student Defiance1

Critical and resistance theorists propose that race and class backgrounds influence everyday forms of student resistance in schools. This article argues that the microsocial process of student defiance is less characterized by individual traits of race and class than by the formal and informal organizational characteristics of social settings. Using unique data on resistance in multiple schools and classrooms, this article finds that defiant behaviors arise when instructional formats give students access to public discourse and when students have advantaged social network relations. Social opportunities of tasks, coupled with political opportunities of networks, enable students to consistently undermine and redirect classroom affairs. The results suggest that resistant behavior is more the result of organizational features of social networks and instruction than “alienation” factors, and is therefore rectifiable through classroom management.
Hardware-software cosynthesis for microcontrollers

The authors present a software-oriented approach to hardware-software partitioning which avoids restrictions on the software semantics as well as an iterative partitioning process based on hardware extraction controlled by a cost function. This process is used in Cosyma, an experimental cosynthesis system for embedded controllers. As an example, the extraction of coprocessors for loops is demonstrated. Results are presented for several benchmark designs. <<ETX>>
Auto-Annotation of 3D Objects via ImageNet

Automatic annotation of 3D objects in cluttered scenes shows its great importance to a variety of applications. Nowadays, 3D point clouds, a new 3D representation of real-world objects, can be easily and rapidly collected by mobile LiDAR systems, e.g. RIEGL VMX-450 system. Moreover, the mobile LiDAR system can also provide a series of consecutive multi-view images which are calibrated with 3D point clouds. This paper proposes to automatically annotate 3D objects of interest in point clouds of road scenes by exploiting a multitude of annotated images in image databases, such as LabelMe and ImageNet. In the proposed method, an object detector trained on the annotated images is used to locate the object regions in acquired multi-view images. Then, based on the correspondences between multi-view images and 3D point clouds, a probabilistic graphical model is used to model the temporal, spatial and geometric constraints to extract the 3D objects automatically. A new dataset was built for evaluation and the experimental results demonstrate a satisfied performance on 3D object extraction.
Changes of maternal transcripts in oocytes from persistent follicles in cattle

A high incidence of early embryonic loss is associated with prolonged dominance of follicles. The objective of the present experiment was to determine if persistence of a follicle resulted in alterations in mRNA expression of important genes in the oocyte. Cows were assigned to four groups: growing follicles on day 6 (G0h) or day 8 (G48h) and persistent follicles on day 13 (P0h) or day 15 (P48h) of the estrous cycle (estrus = day 0). All cows were super‐stimulated on day 1–4. Cows in G48h, P0h, and P48h groups received 25 mg prostaglandin (PG) F2α on day 6. Cows in P0h and P48h groups received progesterone from CIDR‐B devices on day 5 through 13. Ovaries of cows in G0h, G48h, P0h, and P48h groups were removed on day 6, 8, 13, and 15, respectively. Oocytes were aspirated immediately after colpotomy and denuded of cumulus cells. Quantitative real‐time PCR was used to measure the mRNA abundances of 10 selected genes important for early embryogenesis in oocytes obtained from growing and persistent follicles. Relative abundances of MSY2, PARN, and YY1 mRNA (P < 0.05) were significantly lower in oocytes from persistent than from growing follicles. Oocytes from persistent follicles, however, had greater abundances of PAP and eIF‐4E transcripts (P < 0.05). The data indicate that persistence of a follicle leads to altered abundances of mRNA for genes important for regulation of transcription and protein translation in the oocyte, which could compromise development of early embryos in cows that ovulate a persistent follicle. Mol. Reprod. Dev. © 2006 Wiley‐Liss, Inc.
Optimization of RNA isolation from human ocular tissues and analysis of prostanoid receptor mRNA expression using RT-PCR.

PURPOSE The isolation and analysis of human ocular RNA is problematic due to variables such as rapid degradation, tissue composition, and melanin contamination. The purpose of this work was to optimize an extraction protocol for the isolation of intact total RNA from a variety of diverse human ocular tissues and to employ RT-PCR to assess the expression of mRNA coding for all eight prostanoid receptors. METHODS Total RNA was extracted from human iris, ciliary body, choroid, and retina using an RNeasy(R) Midi Kit. Total RNA was extracted from human cornea, sclera, and optic nerve using Tri-Pure(R) Isolation Reagent. 1.0 microgram of total RNA was reverse transcribed into cDNA and subsequently amplified by PCR (35 cycles) using primers designed against each of the human prostanoid receptor cDNAs. PCR products were analyzed by gel electrophoresis and endonuclease digestion. RESULTS The total yield and quality of RNA derived from each tissue varied according to tissue composition and the isolation method employed. RT-PCR analysis revealed that each tissue expressed all prostanoid receptor mRNAs, however, 50 cycles of PCR was required to visualize FP receptor expression in scleral tissue. In all cases, prostanoid receptor mRNA expression was significantly lower than in human nonpregnant myometrium, which was used as the positive control. CONCLUSIONS The different cellular composition of each ocular tissue ultimately dictated the methodology to be employed for the isolation of total RNA. Thus, two extraction protocols were optimized for the isolation of intact high quality RNA from a variety of human ocular tissues. The identification of all prostanoid receptor mRNAs in a diverse set of human ocular tissues suggests potential mechanisms for prostanoid-based therapeutics aimed at IOP reduction and stimulates speculation as to additional physiological and or pathophysiological roles mediated by prostanoids.
Modelling the effects of chromatic adaptation on phytoplankton community structure in the oligotrophic ocean

We explored the role of chromatic adaptation in shaping vertical phytoplankton community structures using a trait-based ecosystem model. The model included 1000 ‘phytoplankton types’ and was applied to the oligotrophic South Atlantic Gyre in a 1- dimensional framework, where ‘phytoplankton types’ refers to the model phytoplankton that were stochastically assigned unique physiological characteristics. The model incorporates multi-spectral optics and light absorption properties for the different phytoplankton. The model successfully reproduced observed vertical gradients in the nitrate, bulk phytoplankton properties and community structure. Model phytoplankton types with Synechococcus-like spectral light absorption properties were outcompeted at depth, where eukaryote-like spectral properties were advantageous. In contrast, photoinhibition was important for vertical separation of high-light and low-light Prochlorococcus model analogues. In addition, temperature dependence was important for selection of phytoplankton types on the temperature gradient. The fittest, or successful, phytoplankton types were characterised by combinations of simultaneously optimal traits that suited them to a particular depth in the water column, reflecting the view that phytoplankton have co-evolved multiple traits that are advantageous in a particular environmental condition or niche.
Electronic packaging materials and their properties

Electronic Packaging Materials and Their PropertiesElectronic Equipment Packaging TechnologyReliability and Failure of Electronic Materials and DevicesSpringer Handbook of Electronic and Photonic MaterialsModeling, Analysis, Design, and Tests for Electronics Packaging beyond MooreElectronic PackagingPortable Consumer ElectronicsSemiconductor PackagingAdvanced Electronic PackagingPower Electronic PackagingMechanical Analysis of Electronic Packaging SystemsFood PackagingMicroelectromechanical SystemsHigh Temperature ElectronicsElectrical Conductive Adhesives with NanotechnologiesElectronic Packaging of High Speed CircuitryPrinted Circuit Board Materials HandbookElectronic Packaging Materials and Their PropertiesNano-BioElectronic, Photonic and MEMS PackagingAdvanced Materials for Thermal Management of Electronic PackagingModeling and Simulation for Microelectronic Packaging AssemblyMaterials for Electronic PackagingMaterials for Advanced PackagingHandbook of Electronics Manufacturing EngineeringElectronic Packaging for High Reliability, Low Cost ElectronicsWide Bandgap Power Semiconductor PackagingThe Electronic Packaging HandbookMaterials for High-Density Electronic Packaging and InterconnectionHarsh Environment ElectronicsMaterials for High-Temperature Semiconductor DevicesAdvanced Adhesives in ElectronicsNanopackagingElectronic CompositesEssentials of Electronic PackagingElectronic Packaging Materials and Their PropertiesElectronic Packaging Materials and Their PropertiesNanopackagingElectronic Packaging and Interconnection HandbookMicrowave and Millimeter-Wave Electronic PackagingAdvanced Electronic Packaging Materials: Volume 167
Experimental comparison of MPPT algorithms

The impact of photovoltaic (PV) energy has grown rapidly in the last years; both the scientific community and the industry have focused its attention on improving the efficiency of PV modules while decreasing their cost. In order to ensure best performance, PV panels have to work at the Maximum Power Point (MPP) of their V-I curve. As the MPP depends on the environmental conditions, an algorithm to continuously locate the MPP and to control the power electronics converter connected to the modules is required. In literature, many authors have proposed MPP tracking (MPPT) techniques based on very heterogeneous approaches. However, few works present an experimental comparison between the performances achieved by MPPT algorithms. In this paper, four different techniques have been considered and tested both in simulation and in real-world conditions. Two of them are well-known algorithms (Perturb & Observe, Incremental Conductance) while the other two are model-based methods which have been proposed by the authors in the last years. The efficiencies achieved by these techniques in steady-state conditions are evaluated and the results are deeply discussed.
Rotation invariant texture feature extraction based on Sorted Neighborhood Differences

Rotation invariant texture descriptor plays an important role in texture-based object classification. However the classification accuracy may decrease due to the inconsistent performance of texture descriptor with respect to various rotated angles. In this paper we propose a consistent rotation invariant texture descriptor named Sorted Neighborhood Differences (SND). SND is derived from the integration of sorted neigh- borhood and binary patterns. Experimental results show that overall texture classification accuracy of SND with respect to different rotations using OUTEX TC 0010 texture database is 91.81% whereas those of LBPriu and LBP-HF are 86.42% and 88.28%, respectively. The texture and coin classification accuracies of SND are also consistent in various rotation angles and illumination levels.
Transducer output signal processing using an eight-bit microcomputer

Procedures for dealing with calibration data involving a disturbing variable using an 8-bit microcomputer are described. An interpolation polynomial with coefficients that are themselves polynomials in the disturbing variable is fitted to the calibration data and is used in two alternative ways. In the first, the polynomial coefficients are stored in the read-only memory of the microcomputer and direct computation is used to obtain the primary variable from the incoming data. In the second, the interpolating polynomials are used to generate an equispaced 2-D look-up table that is stored in the read-only memory of the microcomputer. A 2-D interpolating routine is then used to obtain the value of the primary variable from the incoming data. A comparison of the two methods with respect to computation accuracy, speed of operation, and memory requirements is presented, and the procedure for extending these techniques to the case of two disturbing variables is discussed.