Miracle-dz/UniFAR-FTUs huggingface dataset:
Nanoscale topography-induced modulation of fundamental cell behaviors of rabbit corneal keratocytes, fibroblasts, and myofibroblasts.

PURPOSE Keratocyte-to-myofibroblast differentiation is a key factor in corneal wound healing. The purpose of this study was to determine the influence of environmental nanoscale topography on keratocyte, fibroblast, and myofibroblast cell behavior. METHODS Primary rabbit corneal keratocytes, fibroblasts, and myofibroblasts were seeded onto planar polyurethane surfaces with six patterned areas, composed of anisotropically ordered grooves and ridges with a 400-, 800-, 1200-, 1600-, 2000-, and 4000-nm pitch (pitch = groove + ridge width). After 24 hours cells were fixed, stained, imaged, and analyzed for cell shape and orientation. For migration studies, cells on each patterned surface were imaged every 10 minutes for 12 hours, and individual cell trajectories and migration rates were calculated. RESULTS Keratocytes, fibroblasts, and myofibroblasts aligned and elongated to pitch sizes larger than 1000 nm. A lower limit to the topographic feature sizes that the cells responded to was identified for all three phenotypes, with a transition zone around the 800- to 1200-nm pitch size. Fibroblasts and myofibroblasts migrated parallel to surface ridges larger than 1000 nm but lacked directional guidance on submicron and nanoscale topographic features and on planar surfaces. Keratocytes remained essentially immobile. CONCLUSIONS Corneal stromal cells elongated, aligned, and migrated, differentially guided by substratum topographic features. All cell types failed to respond to topographic features approximating the dimensions of individual stromal fibers. These findings contribute to our understanding of corneal stromal cell biology in health and disease and their interaction with biomaterials and their native extracellular matrix.
Social Path Planning : Generic Human-Robot Interaction Framework for Robotic Navigation Tasks

This paper formulates a generic framework for the social path planning problem. Previous works deal with very specific cases of socially-aware motion planning. Instead, here we propose a mathematical formulation that can be considered the preliminary steps towards a general theoretical setting, incorporating previous work as sub-cases. Social path planning is analyzed into 6 different subproblems. Furthermore, a review of the state of the art about the different aspects of the social path planning problem is included. Most importantly, an extended model for the O-space for groups of people engaged in a social interaction is proposed. Preliminary results for actual social path planning solutions under the proposed formulation are shown, proving the powerfulness of the approach and its generalization. Finally, a concrete discussion about future work is provided.
Applied optimal estimation

Optimal FilteringIntroduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and SolutionsApplied Optimal ControlInverse Problem Theory and Methods for Model Parameter EstimationBayesian Estimation and TrackingInverse Methods for Atmospheric SoundingOptimal ControlBayesian Filtering and SmoothingStatistical Orbit DeterminationEstimation and Control of Dynamical SystemsPractical Methods for Optimal Control and Estimation Using Nonlinear ProgrammingApplied Optimal ControlOptimal Control and EstimationOptimal Estimation of Dynamic SystemsOptimal State EstimationOptimal Estimation of Dynamic SystemsBeyond the Kalman Filter: Particle Filters for Tracking ApplicationsEstimation with Applications to Tracking and NavigationApplied Optimal EstimationKalman FilteringProgress in Astronautics and AeronauticsMethods of Model Based Process ControlAn Engineering Approach to Optimal Control and Estimation TheoryOptimal and Robust EstimationApplied Optimal EstimationOptimal Control and EstimationStochastic Processes and Filtering TheoryOptimal Estimation of Dynamic Systems, Second EditionAn Introduction to Optimal Estimation of Dynamical SystemsState Estimation for Dynamic SystemsState Estimation for RoboticsApplied State Estimation and AssociationContinuous Time Dynamical SystemsApplied Optimal Control & EstimationOptimal State Estimation for Process Monitoring, Fault Diagnosis and ControlEstimation, Control, and the Discrete Kalman FilterKalman FiltersState Estimation in ChemometricsStochastic Models, Estimation, and ControlApplied optimal estimation
Estonian Dependency Treebank: from Constraint Grammar tagset to Universal Dependencies

This paper presents the first version of Estonian Universal Dependencies Treebank which has been semi-automatically acquired from Estonian Dependency Treebank and comprises ca 400,000 words (ca 30,000 sentences) representing the genres of fiction, newspapers and scientific writing. Article analyses the differences between two annotation schemes and the conversion procedure to Universal Dependencies format. The conversion has been conducted by manually created Constraint Grammar transfer rules. As the rules enable to consider unbounded context, include lexical information and both flat and tree structure features at the same time, the method has proved to be reliable and flexible enough to handle most of transformations. The automatic conversion procedure achieved LAS 95.2%, UAS 96.3% and LA 98.4%. If punctuation marks were excluded from the calculations, we observed LAS 96.4%, UAS 97.7% and LA 98.2%. Still the refinement of the guidelines and methodology is needed in order to re-annotate some syntactic phenomena, e.g. inter-clausal relations. Although automatic rules usually make quite a good guess even in obscure conditions, some relations should be checked and annotated manually after the main conversion.
Stator Flux Vector Control of Induction Motor Drives in the Field-Weakening Region

A torque control scheme that utilizes the stator flux components as control variables, applied to a speed-sensorless induction motor drive, is presented. The proposed scheme allows the motor to exploit the maximum torque capability in the whole speed range, and shows a reduced dependence from the motor parameters. It is based on a control algorithm that decreases the d-component of the stator flux as soon as the voltage corresponding to the maximum torque exceeds the available voltage. The control scheme produces a smooth transition into and out of the field weakening region and preserves the torque dynamic. The feasibility of the field weakening technique is confirmed by computer simulations and experimental tests.
Expert Systems With Applications

Credit risk evaluation is an integral part of any lending process, and even more so for ﬁnancial institutions involved in lending to SMEs. The importance of credit scoring has increased recently because of the ﬁnancial crisis and increased capital requirements for banks. There are, however, only few studies that develop credit coring models for SME lending. The objective of this study is to introduce a novel, more accurate credit risk estimation approach for SMEs business lending. Based on traditional statistical meth-ods and recent artiﬁcial intelligence (AI) techniques, we proposed a hybrid model which combines the logistic regression approach and artiﬁcial neural networks (ANN). In order to test the effectiveness and feasibility of the proposed hybrid model, we use the data of Finnish SMEs from the ﬁscal years 2004 to 2012. Our results suggest that the proposed ANN/logistic hybrid model is more accurate than either of the initial models ANN or logistic regression. This improvement in the accuracy of the credit scoring model decreases evaluation errors and has thereby many potential practical implications. First of all, a more accurate credit scoring model can result in better performance of the whole SME loan portfolio. Second, it can also result in lower capital requirements from the banks perspective and lower interest rates from the individual ﬁrm’s perspective. Combined, these effects will enhance the banks competitiveness in the market for SME loans.
Identification automatique des relations discursives implicites à partir de corpus annotés et de données brutes

Le developpement de systemes d’analyse discursive automatique des documents est un enjeu actuel majeur en Traitement Automatique des Langues. La difficulte principale correspond a l’etape d’identification des relations (comme Explication, Contraste . . .) liant les segments constituant le document. En particulier, l’identification des relations dites implicites, c’est-a-dire non marquees par un connecteur discursif (comme mais, parce que . . .), est reputee difficile car elle necessite la prise en compte d’indices varies et correspond a des difficultes particulieres dans le cadre d’un systeme de classification automatique. Dans cette these, nous utilisons des donnees brutes pour ameliorer des systemes d’identification automatique des relations implicites. Nous proposons d’abord d’utiliser les connecteurs pour annoter automatiquement de nouvelles don- nees. Nous mettons en place des strategies issues de l’adaptation de domaine qui nous permettent de gerer les differences en termes distributionnels entre donnees annotees automatiquement et manuellement : nous rapportons des ameliorations pour des systemes construits sur le corpus francais ANNODIS et sur le corpus anglais du Penn Discourse Treebank. Ensuite, nous proposons d’utiliser des representations de mots acquises a partir de donnees brutes, eventuellement annotees automatiquement en connecteurs, pour enrichir la representation des donnees fondees sur les mots presents dans les segments a lier. Nous rapportons des ameliorations sur le corpus anglais du Penn Discourse Treebank et montrons notamment que cette methode permet de limiter le recours a des ressources riches, disponibles seulement pour peu de langues.
Batch-Theta* for path planning to the best goal in a goal set

The development of 3D cameras and many navigation-supporting sensors has recently enabled robots to build their working maps and navigate accurately, making path planning popular not just on computer graphics, but in real environments as well. Pursuing the solutions for robot path planning, this paper presents a variant of searching method Theta* for choosing the best goal among given goals and the lowest-cost path to it, called Batch-Theta*. The novelty lies at the proposed line-of-sight checking function during the searching process and the manner that the method handles the batch of goals during one search instead of repeatedly considering a single goal or blindly doing the exhausted search. The analysis and simulations show that the proposed Batch-Theta* efficiently finds the lowest-cost path to the best goal in a given goal set under Theta*’s mechanism. Graphical Abstract
Crystal structure of 4,5-bis(3,4,5-trimethoxyphenyl)-2H-1,2,3-triazole methanol monosolvate

The title compound, C20H23N3O6·CH3OH, was synthesized by [3 + 2] cycloaddition of (Z)-2,3-bis(3,4,5-trimethoxyphenyl)acrylonitrile with sodium azide and ammonium chloride in DMF/water. The central nitrogen of the triazole ring is protonated. The dihedral angles between the triazole ring and the 3,4,5-trimethoxyphenyl ring planes are 34.31 (4) and 45.03 (5)°, while that between the 3,4,5-trimethoxyphenyl rings is 51.87 (5)°. In the crystal, the molecules, along with two methanol solvent molecules are linked into an R 4 4(10) centrosymmetric dimer by N—H⋯O and O—H⋯N hydrogen bonds.
Novel Pirfenidone Analogues: Synthesis of Pyridin‐2‐ones for the Treatment of Pulmonary Fibrosis

A new series of polysubstituted 1‐aryl‐2‐oxo‐1,2‐dihydropyridine‐3‐carbonitriles and pyrazolo[3,4‐b]pyridine‐5‐carbonitriles and pyrido[2,3‐d]pyrimidine‐6‐carbonitriles have been synthesized and tested for their antifibrotic activity. Among the tested compounds, compounds IIc and IVb exhibited higher antifibrotic activity than the standard pirfenidone PD with a reduction of the hydroxyproline level to 50 and 140 μmol/lung, respectively. However, bicyclic pyridone VIIIb displayed a high mortality rate. Detailed syntheses, spectroscopic and biological data are reported.
Disability, social support, and distress in rheumatoid arthritis: results from a thirteen-year prospective study.

OBJECTIVE To examine the strength and stability of the relationships between disease-related factors (joint tenderness, pain, and functional disability), social support, and distress over time, and to investigate to what extent disease-related factors and social support can predict distress in short-term and long-term rheumatoid arthritis (RA). METHODS The study was a Dutch extension of the European Research on Incapacitating Diseases and Social Support and started with 292 patients. After 5 waves of data collection, 129 patients remained. Composite measures were computed following the area under the curve approach. Interaction terms were computed between functional disability and social support satisfaction. Correlational and hierarchical regression analyses were performed. RESULTS In patients with short-term RA, disease-related factors and social support were important in determining distress. Also, a buffering effect of social companionship was found. In total, 51% of the variance in distress in short-term RA could be explained primarily by mean distress over the previous years. In patients with long-term RA, disease-related factors remained important in determining distress, but to a lesser extent. Seventeen percent of the variance in distress in long-term RA could be explained primarily by mean distress over the years before. CONCLUSION During the course of the disease, patients may learn to adjust to their disease and its consequences and are able to maintain a normal distress level. The effect of the disease on psychological distress decreased over the years. Some support for the buffering hypothesis of social support was found in short-term RA, but not in long-term RA.
A 16-GHz 0.18μm CMOS differential colpitts VCO with a moderate output power for DS-UWB and 60-GHz applications

A 16-GHz CMOS differential Colpitts VCO fabricated with the 0.18 mum 1P6M process is presented. This VCO is composed of a PMOS transistor-pair core circuit and two source follower output buffers. The VCO can operate at 16.5 GHz, and the measured phase noise at 1-MHz offset is -115 dBc/Hz. The power consumption of the VCO core is 12.6 mW. Compared with previous reported works, this VCO has a much higher output power of -0.9 dBm at 16.5 GHz.
Research of Auto-extraction of Human Dimensions Based on Two Dimensional Images

In this research, two dimensional front and back digital camera photos are chose as objects, photos are processed by using image processing software PHOTOSHOP so that contrast of human body and background can reach the identifiable range of MATLAB. In MATLAB, automatic extraction program of human dimensions can translate into a COM file that can be called in VB.NET so as to realize auto-extraction of human dimensions from two dimensional images under the VB programming language by setting the environment variable. Non-contact automatic measurement of human body is realized in this paper which contributes to the development of human body measurement technology and provides basis and help for establishment of pattern auto-generation system and development of CAD / CAM technology.
Cerebellar Degeneration-Related Autoantigen 1 (CDR1) Gene Expression in Prostate Cancer Cell Lines

Prostate cancer (PCa) is the most frequent cancer among men in many developing countries, and the second leading cause of cancer-related death in men. A genetic component has been implicated in PCa onset and development. The cerebellar degeneration-related autoantigen 1 (CDR1) gene, mapping in Xq26-q27.2, is expressed in cerebrum, cerebellum, heart, lung, liver, and kidney. In addition, CDR1 expression has been detected in neuroblastoma, renal carcinoma cell lines, and other cancer cell lines. In this study, we investigated the expression of the CDR1 gene in the LNCaP and PC-3 PCa cell lines, and in the PNT1A normal prostate cell line. CDR1 mRNA expression was evaluated by qRT-PCR. We found that the CDR1 gene was overexpressed in the LNCaP and PC-3 PCa cell lines as compared with the PNT1A normal prostate cell line. These data suggest that CDR1 could be a new biomarker for PCa identification.
BipaddlePectoralis Major Myocutaneous Flap for oral cancer reconstruction: Operative technique, flap reliability and outcome, Asingle Institute experience.

Purpose: The Bipaddle pectoralis major myocutaneous flap (PMMF) is a commonly used flap in reconstructive head and neck surgery in advanced cases, but in literature, the flap is also associated with a high incidence of complications in addition to its large bulk. The purpose of the study is the evaluation of the flap reliability, operative technique and outcome in reconstructive head and neck cancer surgery. Patients and methods: The records of all patients treated with a bippadle PMMF between 2012 and 2015 were systematically reviewed. Data of recipient localization, main indication, operative technique, postoperative complications and outcomes were analyzed. Major complications were evaluated if revision surgery was necessary and minor ones if conservative wound care alone was required. Results: The male to female ratio was 4.6:1, with a mean age of 51 years (45-64). PMMF reconstruction was done in all patients of advanced squamous cell carcinoma of oral cavity. In 3 female patients (10.7%), minor flap related complications were seen, however recovered well with acceptable final outcome. Conclusion: The Bipaddle PMMF is reliable for large defects in head and neck reconstructive surgery, particularly when a bulky flap is needed and the lesion is involving the outer skin. Placing the flap horizontally with inclusion of nipple and areola in most of the patients increased the reach and size of available flap.
Exploring the influence of Internet-based caregiver support on experiences of isolation for older spouse caregivers in rural areas: a qualitative interview study.

BACKGROUND Many older spouse caregivers are tied to the home by their caring duties and feel isolated. The values of supporting older caregivers are well known. In rural areas with long distances and decline in essential services, attending caregiver support groups can be difficult. Using Internet-based services can provide an opportunity for rural caregivers to participate in caregiver support, regardless of geographical distances and without the need for physical presence. AIMS AND OBJECTIVES This study aimed to explore how Internet-based caregiver support may influence the experience of isolation among older spouse caregivers in rural areas. DESIGN An intervention study where 63 older rural caregivers received an Internet-based caregiver support service. METHOD A qualitative interview study based on 31 interviews with open-ended questions, analysed using latent content analysis. FINDINGS Two themes represent the findings from the study: Expanding the concept of place and Developing networks. Even though participants still spent their days in the house, they experienced that daily life was being spent in a variety of places, both physically, virtually and emotionally. The Internet-based support service provided them with a tool to reconnect with family and develop new friends. CONCLUSIONS Internet-based caregiver support may reduce the experience of isolation for spouse caregivers in rural areas. Nurses played a crucial part in the development, by encouraging, educating and inspiring caregivers and supporting their independence. IMPLICATIONS FOR PRACTICE Internet-based services ought to be an option for caregiver support in rural areas as it may reduce feelings of isolation for older spouse caregivers.
The scientific basis for the duration of stability data required at the time of submission.

The publication and approval of the ICH guideline Q1A Stability Testing of New Drug Substances and Products was a significant step forward in the harmonization of the expectations for stability programmes for a new chemical entities and drug products for registration in the European Community, Japan, and the United States. One of the key expectations detailed in ICH Q1A is the duration of data available at time of filing:
Characterization of an Activation Protein-1-binding Site in the Murine Interleukin-12 p40 Promoter

Interleukin (IL)-12 is a heterodimeric cytokine produced by macrophages in response to intracellular pathogens and provides an obligatory signal for the differentiation of T-helper-1 cells. We previously reported an analysis of the IL-12 p40 promoter in RAW264.7 macrophages. Multiple control elements were involved in activation of transcription by bacterial products. A critical control element, located between −96 and −88, interacts with C/EBP family members. In this study, using a strategy to demonstrate functional activity in a minimal promoter context, three novel cis-acting elements are found to have an important role in IL-12 p40 promoter activation by lipopolysaccharide. One of these elements is characterized in detail. Mutations from −79 to −74 in the murine IL-12 p40 promoter significantly reduce lipopolysaccharide-induced promoter activity. Electrophoretic mobility shift assays demonstrate binding of AP-1 family members to this region. Spacing between the C/EBP and AP-1 site is important for promoter activation, suggesting cooperativity between these elements. c-Jun and a mutant c-Jun molecule activate the IL-12 p40 promoter and synergistically activate the promoter when co-expressed with C/EBPβ. Finally, this region of the promoter is demonstrated to be a target for mitogen-activated protein kinase and toll-like receptor signaling pathways.