Miracle-dz/UniFAR-FTUs huggingface dataset:
Pho grammetry for edieval rchaeology

The paper presents an interdisciplinary project which is a work in progress towards a 3D Geographical Information System (GIS) dedicated to Cultural Heritage with a specific focus application on the Castle of Shawbak, also known as the “Crac de Montréal”, one of the best preserved rural medieval settlements in the entire Middle East. The Shawbak archaeological project is a specific and integrated project between medieval archaeological research and computer vision done thanks to a long cooperation between University of Florence and CNRS. Focusing mainly on stratigraphical analysis of upstanding structures we provide archaeologists a two-step pipeline. First a survey process using photogrammetry, both in a traditional way and using the most advanced technique for obtained dense map and then a tool for statistical analysis. The photogrammetric survey is driven by an archaeological knowledge which is formalized by ontologies as a link between all the archaeological concepts which are surveyed. The archaeological knowledge studied is now limited to stratigraphy of upstanding structure using a stone by stone survey as well as a 3D reprojection of archaeologist design made on photographs. The 3D GIS is the last step of this chain and aims the automatic production of 3D models through archaeological database queries: these 3D models are in fact a graphical image of the database and at the same time the interface through which the user is able to modify it and produce different kind of analyzing. All these developments are written in Java within ARPENTEUR framework. KeywordsMedieval Archaeology, Stratigraphy, Upstanding structures, Photogrammetry, Computer vision, Dense Map, GIS, Principal Component Analysis, Clustering, Ontology.
Comparative Analysis of Piezoelectric Energy Harnessing from Micro Vibration Using Non-Adaptive Circuit

This paper presents a comparison between simulation and experimental findings of energy harnessing from micro-vibration by using piezoelectric vibration-to-electricity converter. Vibrational data used in this study are generated experimentally using magnetic shaker. Since piezoelectric sensor produces an alternate voltage, a rectifier circuit is needed to convert it to a direct voltage. In this study, an instrumentation to harness energy from micro-vibration using non-adaptive circuit has been developed and simulated within Matlab SIMULINK environment. A comparative analysis shows that a maximal power output of 40.5 μW and 29.0 μW could be harnessed for input vibration of 0.075 m/s 2 at 10 Hz frequency, from simulation and experimental, respectively. The amount of energy generated is far smaller than required for the normal operations of most electronic devices. However, this energy could be accumulated and stored until sufficient power has been captured to develop a completely self-powered system. Key-Words: energy harnessing, micro vibration, non-adaptive circuit, piezoelectric, vibration-to-electric energy conversion
big. LITTLE Architecture: Heterogeneous Multicore Processing

ARM’s big.LITTLE architecture introduces a solution to optimize power consumption by selecting the core type most suitable for a level of processing load along with high performance. Using heterogeneous multi-core processing having high performance cortex-A15 with power efficient cortex-A7 is what big.LITTLE architecture follows to have power efficient system on chip which is demanded by today’s smart phones. For smooth functioning and effective data transferring big.LITTLE uses GIC-400 and CCI-400 interfaces to interface between two processors. Present smart phones using big.LITTLE technology having cluster migration as their operating mode. But using global task scheduling method as operating mode of smart phones in which cores gets individually activated or deactivated according to workload can give even further improvement in power consumption.
Online learner self-regulation: Learning presence viewed through quantitative content- and social network analysis

This paper presents an extension of an ongoing study of online learning framed within the community of inquiry (CoI) model (Garrison, Anderson, & Archer, 2001) in which we further examine a new construct labeled as learning presence . We use learning presence to refer to the iterative processes of forethought and planning, monitoring and adapting strategies for learning, and reflecting on results that successful students use to regulate their learning in online, interactive environments. To gain insight into these processes, we present results of a study using quantitative content analysis (QCA) and social network analysis (SNA) in a complementary fashion. First, we used QCA to identify the forms of learning presence reflected in students’ public (class discussions) and more private (learning journals) products of knowledge construction in online, interactive components of a graduate-level blended course. Next, we used SNA to assess how the forms of learning presence we identified through QCA correlated with the network positions students held within those interactional spaces (i.e., discussions and journals). We found that the students who demonstrated better self- and co-regulation (i.e., learning presence) took up more advantageous positions in their knowledge-generating groups. Our results extend and confirm both the CoI framework and previous investigations of online learning using SNA.
A FEEDBACK-BASED DYNAMIC INSTRUMENT FOR MEASURING MECHANICAL PROPERTIES OF SOFT TISSUES FOR MINIMALLY-INVASIVE SURGERY

In this paper, a feedback-based dynamic instrument integrated into a MIS tool to provide mechanical properties of soft tissue is presented. The proposed dynamic instrument captures the resonance frequency shift using a phase-locked loop feedback system. Some important advantages of this method are that it is robust and simple in comparison to other similar instruments as it does not require magnitude information of plant’s displacement output and no force sensor is used; it works fast, and is capable of capturing dynamic mechanical properties of viscoelastic tissues, while most of the works are focused on only static/quasi-static elastic modulus.
Global Terrestrial Ecosystem Functioning and Biogeochemical Processes

Earth System Science Theme: III. Marine and Terrestrial Ecosystems and Natural Resource Management Biogeochemical Cycles, Ecosystem Functioning, Biodiversity, and factors that influence health and ecosystem services Description: A global imaging spectroscopy mission will provide unique and urgent quantitative measurements of vegetation functional traits and biochemistry that are not currently available. Narrowband VSWIR measurements will provide the information necessary to close major gaps in our understanding of biogeochemical cycles and to improve representation of vegetated biomes in Earth system process models. Lead Author: Philip A. Townsend, University of Wisconsin-Madison ptownsend@wisc.edu (608) 444-7375
Do firms cooperate in R & D persistently ? Evidence from Spain

We provide evidence on the dynamics in firms’ R&D cooperation behaviour. Our main objective is to analyse if R&D collaborative agreements are persistent at the firm level, and in such a case, to study what are the main drivers of this phenomenon. R&D cooperation activities at the firm level can be persistent due to true state dependence, this implying that cooperating in a given period enhances the probability of doing it in the subsequent period and it can also be a consequence of firms’ individual heterogeneity, so that certain firms have certain characteristics that make them more likely to carry out technological alliances. A second contribution of the paper deals with the differentiated persistence pattern of collaboration agreements for three different types of partners: customers and/or suppliers, competitors and institutions. We specifically explore the degree of the persistence in R&D collaborative activities when considering them separately as well as the possibility of finding crossed-persistence across these different partner types.
Endometrial transcription of microbial molecular patterns receptors in Gyr and F 1 Holstein x Gyr postpartum cows

Zebu and Holstein x Zebu crossbred have low incidence of uterine infection when compared to Holstein cows. Resistance to uterine infections may be associated with the ability to recognize invading microorganisms. Endometrial transcription of microbial molecular patterns receptors has been investigated in the postpartum period of Holstein cows, but it is completely unknown in Zebu or Holstein x Zebu cows. In this study, 9 Gyr and 12 F1 Holstein x Gyr cows were submitted to endometrial biopsies at the first and seventh days postpartum, with the objective to measure transcription levels of toll-like receptors (TLRs) 1/6, 2, 4, 5, and 9; nucleotide-binding oligomerization domain (NOD)-like receptors 1 and 2; and coreceptors cluster of differentiation 14 (CD14) and myeloid differentiation protein-2 (MD-2). There was a significant (P<0.05) decrease in transcription of TLR5 in Gyr, and an increase in transcription of TLR9 in F1 cows, between the first and seventh day postpartum. Both groups had low incidences of uterine infections up to 42 days postpartum. Uterine involution completed at 27.7 ± 10.1 and 25.1 ± 4.7 days postpartum for Gyr and F1 cows, respectively. In Gyr cows, higher transcription levels of TLR1/6 and NOD1 correlated to a longer period required for uterine involution. In F1 cows, lower levels of TLR1/6, TLR2 and NOD2 correlated to a longer period required for uterine involution. In conclusion, some pathogen recognition receptors associated significantly with the time required for uterine involution in Gyr and F1 cows.
Hydrodynamic Analysis of Pipelines Transporting Capsule for Onshore Applications

Rapid depletion of energy resources has immensely affected the cargo transportation industry. Efforts have been made to develop newer economic and environmental friendly modes for this purpose. Bulk solids can be transported for long distances effectively in pipelines. Raw materials can be stored in spherical containers (commonly known as capsules) transported through the pipeline. For economical and efficient design of any transportation mode, both the local flow characteristics and the global performance parameters need to be investigated. Published literature is severely limited in establishing the effects of local flow features on system characteristics of Hydraulic Capsule Pipelines (HCPs). The present study focuses on using a well-validated Computational Fluid Dynamics (CFD) based solver to simulate the unsteady turbulent flow of a spherical capsule as a simplified case in HCPs for onshore applications. A novel numerical model has been employed in the present study with the aid of the dynamic mesh technique for calculating the pressure and the velocity variations within such pipelines. The numerical model comprises a straight test section. The numerical model for capsule flow yields realistic results for the global flow parameters as compared to the experimental data from the test rig developed in the present study. The influence of the carrying fluid (water) on the capsule has been verified by estimating the shear forces and the friction coefficient. In addition, novel models have been developed for predicting the wet friction coefficient considering the start-up effect in such systems.
Triggering conditions and mobility of debris flows associated to complex earthflows

Landslides on black marl slopes of the French Alps are, in most cases, complex catastrophic failures in which the initial structural slides transform into slow-moving earthflows. Under specific hydrological conditions, these earthflows can transform into debris flows. Due to their sediment volume and their high mobility, debris flow induced by landslides are far much dangerous than these resulting from continuous erosive processes. A fundamental point to correctly delineate the area exposed to debris flows on the alluvial fans is therefore to understand why and how some earthflows transform into debris flow while most of them stabilize. In this paper, a case of transformation from earthflow to debris flow is presented and analysed. An approach combining geomorphology, hydrology, geotechnics and rheology is adopted to model the debris flow initiation (failure stage) and its runout (postfailure stage). Using the Super-Sauze earthflow (Alpes-de-Haute-Provence, France) as a case study, the objective is to characterize the hydrological and mechanical conditions leading to debris flow initiation in such cohesive material. Results show a very good agreement between the observed runout distances and these calculated using the debris flow modeling code Cemagref 1-D. The deposit thickness in the depositional area and the velocities of the debris flows are also well reproduced. Furthermore, a dynamic slope stability analysis shows that conditions in the debris source area under average pore water pressures and moisture contents are close to failure. A small excess of water can therefore initiate failure. Seepage analysis is used to estimate the volume of debris that can be released for several hydroclimatic conditions. The failed volumes are then introduced in the Cemagref 1-D runout code to propose debris flow hazard scenarios. Results show that clayey earthflow can transform under 5-year return period rainfall conditions into 1-km runout debris flow of volumes ranging between 2000 to 5000 m. Slope failures induced by 25-year return period rainfall can trigger large debris flow events (30,000 to 50,000 m) that can reach the alluvial fan and cause damage. D 2004 Elsevier B.V. All rights reserved.
PENGARUH PENDEKATAN PEMBELAJARAN BERBASIS MASALAH TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA KELAS VIII SMP NEGERI 1 PADANG TAHUN PELAJARAN 2013/2014

Mathematics problem solving skill of students in Junior High School Number 1 Padang hadnot developed optimally . Problem Based Learning (PBL) Approach was hoped to become the solution to develop mathematics problem solving skill of students. Problem Based Learning Approach facilitate d the unstructured contextual problem as the starting point of learning. The aim of this research was to compare the increasing of mathematics problem solving skill between students who were taught by using PBL approach and convensional , and describe the developing of mathematics problem solving skill of students who were taught by using PBL approach . The kind of this research was combination experiment research and descriptive by using Randomized Control Group Pretest-Posttest Design. In strument that was used in this research was test of mathematics problem solving and worksheet. Increasing of students’ score of the test was analyzed by using Mann-Whitney U test, and the data of students’ worksheet score was analyzed descriptively. Result of this research shows that the increasing of mathematics problem solving skill of students wh o we re taught by using PBL approach is higher than convensional , and P BL approach has positive impact to develop mathematics problem solving skill of students . Keywords – problem based learning approach, mathematics problem solving skill
AS TRANSFORMATIONAL LEADERS : DO STUDENT EVALUATIONS HELP ?

When we wish to evaluate the effectiveness of the course of treatment given by a physician (medical practitioner), we seek to know whether the intended goal of treatment has been achieved. We do not rest satisfied with asking the patient about the process of treatment. However, when it comes to teaching a course, we seem to be satisfied with asking the students about the process of teaching. Student assessment of teaching may be useful input for teachers to modify their teaching style, but it cannot be taken as a measure of teaching effectiveness. Effectiveness is a question of whether intended objectives are achieved or not, just as a physician is considered effective if the disease is cured.
Innovation Activities and Export Performance of Canadian Small and Medium-Sized Agri-Food Firms

Canadian small and medium-sized firms face two major challenges, namely, that of innovation in supporting their growth and improving their competitiveness and that of access to international markets. The objective of this study is to analyze the impact of research and Development (RD second, we analyzed the impact of R&D on extensive (market access) and intensive (trade value) margins of trade. In doing so, we used Statistics Canada's National Accounts Longitudinal Microdata File (NALMF) for 2010 to 2015, which is coupled with the Trade by Exporter Characteristics (TEC) database. The size of firms and their support from the Canadian government affect their propensity to invest in R&D, the value of R&D expenses and their intensity, as measured from the ratio of R&D to sales of goods and services. Overall, our results show that investment in R&D has a positive impact on the export performance of agri-food SMEs. Les petites et moyennes entreprises (PME) canadiennes font face a deux grands enjeux soit celui de l’innovation afin notamment de soutenir leur croissance et ameliorer leur competitivite et celui de l’acces aux marches internationaux. Le present projet de recherche a pour objectif d’analyser l’impact des investissements en recherche et developpement (R&D) sur les performances a l’exportation des entreprises agroalimentaires canadiennes et de celles de secteurs connexes soit les industries du textile et des vetements et de la fabrication de produits du cuir et produits analogues. Les methodes d’evaluation d’impact seront utilisees pour analyser les effets des activites d’innovation des entreprises sur leurs performances a l’exportation. Dans un premier temps, les facteurs explicatifs des investissements en R&D sont analyse. Puis nous analysons les effets des investissements en R&D sur les marges extensive (acces aux marches) et intensive (valeur du commerce). Nous utilisons le Fichier de micro donnees longitudinales des comptes nationaux (NALMF) de Statistique Canada pour la periode de 2010 a 2015 qui est couple au fichier du programme de Commerce selon les caracteristiques des exportateurs (TEC). La taille des entreprises et l’appui du gouvernement canadien sont determinants dans la probabilite d’investir dans la R&D ainsi que le montant de ces investissements et son intensite mesuree par le ratio du montant investit sur les ventes totales de biens et services des PME agroalimentaires.
Reduced expression of TRF 1 is associated with tumor progression and poor prognosis in oral squamous cell carcinoma

the functions of telomeric repeat-binding factor 1 (trF1) and 2 (trF2) in oral carcinogenesis are largely unexplored. this study examined the relationship between the expression of trF1 and trF2 and clinicopathological variables and survival in oral cavity squamous cell carcinoma (OcScc). Western blotting and immunohistochemistry were used to evaluate the protein expression of trF1 and trF2 in paired OcScc patient specimens. Expression of trF1 and trF2 was assessed by immunohistochemistry in 256 OcScc patients who underwent tumor resection without previous radiotherapy. the results were analyzed using Fisher's exact test. Protein expression of TRF1 and TRF2 was significantly lower in the OcScc than in the adjacent non-tumor tissue. reduced trF1 and trF2 levels in 256 patients, as revealed by immunohistochemistry, were significantly associated with aggressive clinicopathological features, such as advanced tumor stage (p<0.001) and advanced tumor node metastasis stage (p<0.001). according to Kaplan-meier analysis, reduced TRF1 expression was significantly correlated with an unfavorable cumulative 5-year overall survival rate (p<0.001). in conclusion, decreased expression of TRF1 was significantly associated with tumor progression and poor prognosis in OcScc patients.
Adding genetics to the standard PBIL algorithm

This paper "re-introduces" the genetics into the population based incremental learning algorithm (PBIL). PBIL was proposed in 1994 by Baluja; one major goal of the PBIL was to "remove the genetics from the GA". Nevertheless, this paper shows that one can improve the performance of PBIL significantly with different forms of crossover. This is achieved by re-introducing usual forms of crossover working on individuals and by introducing crossover among "probability vectors" which effectively results in a form of migration inspired by the well known Island Model GA (also called coarse-grained GA). An analysis of the behavior of PBIL on a genetic drift model is performed and furthermore the paper explains the destructive effect of using an elite in combination with PBIL. Significant performance improvements are shown on four well-known function optimization problems (with and without constraints). Further, comparisons are made between our novel methods C-PBIL and IM-PBIL, and the standard PBIL, a continuous-valued PBIL called "PBIL/sub C/", and finally an evolutionary strategy (ES). Altogether we show that our "re-introduction of genetics" improves the performance of PBIL in all considered cases.
Model-Based Estimation of Lithium Concentrations and Temperature in Batteries Using Soft-Constrained Dual Unscented Kalman Filtering

This brief proposes an electrochemical model-based estimator of the Lithium-ion (Li-ion) concentration and temperature of a Li-ion cell. The use of the electrochemical approach allows for the estimation of the spatial distribution of lithium concentration and temperature. The estimation is based on a soft-constrained dual unscented Kalman filter (DUKF) designed on the pseudo-2-D model of a Li-ion cell. The dual structure, along with parallelization, reduces the computational complexity, whereas the soft-constraint improves convergence. A simulation analysis validates the approach showing bulk state of charge (SoC) estimation error lower than 1.5%, solid-phase lithium concentration estimation errors of less than 4%, and temperature estimation errors within 0.2 °C from the true value in any point of the cell.
Iterative methods for elliptic finite element equations on general meshes

T h i s paper s u r v e y s i t e r a t i v e methods f o r a r b i t r a r y mesh d i s c r e t i z a t i o n s of e l l i p t i c p a r t i a l d i f f e r e n t i a l equa t ions . The methods d i s c u s s e d are p r e c o n d i t i o n e d c o n j u g a t e g r a d i e n t s , a l g e b r a i c m u l t i g r i d , d e f l a t e d c o n j u g a t e g r a d i e n t s , a n element-by-element t echn ique , and domain decomposi t ion. Computat ional r e s u l t s are inc luded . T h i s work was s u p p o r t e d by t h e A i r Force O f f i c e of S c i e n t i f i c Research under Grant AFOSR-84-0137. I n a d d i t i o n , t h e work of t h e f i r s t a u t h o r was s u p p o r t e d by t h e N a t i o n a l Aeronau t i c s and Space A d m i n i s t r a t i o n under NASA C o n t r a c t No. NAS1-18107 w h i l e i n r e s i d e n c e a t t h e I n s t i t u t e f o r Computer A p p l i c a t i o n s i n S c i e n c e and Enginee r ing (ICASE), NASA Langley Research Cen te r , Hampton, VA 23665. i Iterative methods for elliptic finite element equations on general meshes R . A . Nicolaides & Shenaz Choudhury Department of Mathematics Carnegie-Mellon University