Miracle-dz/UniFAR-FTUs huggingface dataset:
Interrelationship between resistivity and relative permeability of a carbonate rock during drainage and imbibition experiments

Capillary pressure and relative permeability are the key parameters for understanding fluid flow in porous media, and more specifically for estimating oil reserves and planning a production scenario. They are determined in the laboratory using special core analysis (SCAL) techniques. Since they are both functions of fluid saturation, correlations between them and resistivity may exist. In this paper we report a way of deriving relative permeability from resistivity measurements based on Li’s approach [6] during a steady-state flow experiment for both primary drainage and imbibition cycles performed on a carbonate outcrop. Li’s starting assumption is that the brine relative permeability is inversely proportional to the Archie resistivity index RI [1]. Li then derived a relationship between brine relative permeability and resistivity index RI during a primary drainage cycle. A comparison between relative permeability inferred from resistivity and that derived from capillary pressure experiments gave acceptable agreement. To validate the model, Pairoys et al. [9] studied the effect of different flow displacements on the resistivity response during a primary drainage. The key results were that the steady-state flow experiment provided reliable correlation between Kr and resistivity and thus a new way to estimate Kr. Since imbibition process is more representative of a waterflooding in a reservoir, an extension of Li’s model is proposed for the steady-state imbibition cycle. Using the proposed imbibition model, a good match between the experimental steady-state Kr and Kr derived from the resistivity model was obtained. Additional investigations such as effects of wettability and rock heterogeneities on these results will be necessary to validate the generality of the overall workflow. If validated, it would provide an in situ measure of relative permeability, for example as a continuous log or from a permanent resistivity sensor.
Generating Trajectories from Mobile Phone Data

The paper reports on a method which generates time-space trajectories of travelers by analyzing data from the mobile phone network. The method utilizes mainly the data from location-area-updates, which are recorded from any mobile phone in the standby-mode and thus does not require phone calls or handset equipment. The main idea of the method is to derive location-area-sequences for single trips from the mobile phone data and to compare these with location-area-sequences, which are based on routes through the road and rail network. The method generates a vast number of trajectories on highways and can be used for several applications in the field of transportation planning.
LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data

Medical data are valuable for improvement of health care, policy making and many other purposes. Vast amount of medical data are stored in different locations, on many different devices and in different data silos. Sharing medical data among different sources is a big challenge due to regulatory, operational and security reasons. One potential solution is federated machine learning ,which is a method that sends machine learning algorithms simultaneously to all data sources, train models in each source and aggregates the learned models. This strategy allows utilization of valuable data without moving them.One challenge in applying federated machine learning is the heterogeneity of data from different sources. To tackle this problem, we proposed an adaptive boosting method that increases the efficiency of federated machine learning. Using intensive care unit data from hospital, we showed that LoAdaBoost federated learning outperformed baseline method and increased communication efficiency at negligible additional cost.
Pattern Recognition Using Combination ofShifted Filter Response

Pattern recognition is important for many computer vision applications such as handwritten character recognition, traffic sign detection, and also it is widely used in the medical field such as detection of retinal vascular bifurcations. In this paper, we are going to propose a new approach for pattern recognition called as a Combination of Shifted Filter Response. It is configured for detecting same and similar pattern. It is configured with the help of prototype pattern provided by the user. It uses a bank of Gabor filters for the edge detection purpose. The output of the Gabor filter is then blurred and shifted with the help of some parameters. All blurred and shifted Gabor responses are then combined with the help of weighted geometric mean. The weighted geometric mean is acts like an AND gate i.e. this will produce output when all the sub parts of a pattern of interest (provided by user) are present. The final result will be the COSFIRE output. It will detect the traffic signs present in the complex scenes. For this, public dataset of traffic sign is used which consist of 48 images. It will detect the traffic sign present in the image. This will helpful to assist the driver during driving or useful for automated vehicle (without driver).
Non‐commutative quantum geometric data in group field theories

We review briefly the motivations for introducing additional group‐theoretic data in tensor models, leading to the richer framework of group field theories, themselves a field theory formulation of loop quantum gravity. We discuss how these data give to the GFT amplitudes the structure of lattice gauge theories and simplicial gravity path integrals, and make their quantum geometry manifest. We focus in particular on the non‐commutative flux/algebra representation of these models.
Area, perimeter, density and entropy of objects generated by deposition of particles

Each time a particle is added in order to study growth phenomena with a discrete model, the mass of the object increases and its perimeter changes. This change of perimeter may have different values and signs, depending on the place where the particle is added and on the computational model used. We study these changes of perimeter, for the deposition of particles on a two dimensional euclidean space, starting with a line of seeds and using two types of lattices, one composed of square cells and another one in which the cells are equilateral triangles. Functions relating perimeter, density and entropy with the area are studied. Different types of random walks are considered in a particular fashion through the selection of five different possible directions. The usual procedure to study the way the perimeter of an object varies with its area is by means of the well known power-law function. An alternative method is herein proposed to define a similar approach, but it is based upon the probabilities of the changes of perimeter. No attempt has been made in this study to compare numerical results with those of real phenomena.
Has Distance Died? Evidence from a Panel Gravity Model

The estimated coefficient of distance on the volume of trade is generally found to increase rather than decrease through time using the traditional gravity model of trade. This distance puzzle proved robust to several ad hoc versions of the model using data for 1962-96 for a large sample of 130 countries. The introduction of an "augmented" barrier to trade function removes the paradox, yielding a decline in the estimate of the elasticity of trade to distance of about 11 percent over the 35-year period for the whole sample. However, the "death of distance" is shown to be largely confined to bilateral trade between rich countries, with poor countries becoming marginalized.
Optimization-Based Strong Coupling Procedure for Partitioned Analysis

AbstractThe concept of partitioning a complex engineering problem into smaller, manageable components and investigating each individual component autonomously has been in use for many decades. Such partitioning approaches, however, rely on strong and occasional unwarranted assumptions regarding the interactions among different engineering components. Fluid and structure interaction, soil and structure interaction, and human and structure interaction are but a few of the many such partitioned analyses commonly needed in civil engineering applications. Recently, there has been a growing interest in combining the expertise developed separately in traditionally distinct fields to obtain a holistic treatment of engineering problems. Such holistic treatment would ultimately yield not only more realistic and accurate analyses of coupled systems but also improved optimality in engineering designs. This growing interest has resulted in development of mathematical coupling procedures for conjoining multiple, separa.
Detection of Threats in Mobile Apps: A Survey

Smartphones are gaining popularity, creating new application areas as their capabilities increase in terms of computational power, sensors and communication. Emerging new features of mobile devices give opportunity to new threats. The most major threat of Android users is malware infection via Android application markets. General countermeasures to smartphone malwares are currently limited to signature-based antivirus scanners which efficiently detect known malwares, but they have serious shortcomings with new and unknown malwares creating a window of opportunity for attackers. Many methods are available to detect malware in mobile applications. But this doesn’t offer a one-stop-shop solution to all types of problems. This paper includes survey of static and dynamic methods used for detecting threats in mobile apps. Keywords— Smartphone, Mobile OS, Threats
Robust Control of DC Motor Using Fuzzy Sliding Mode Control with Fractional PID Compensator

This paper presents a robust fuzzy sliding mode control scheme and the additional compensator. The additional compensator relaying on the slidingmode theory is used to improve the dynamical characteristics of the drive system. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances. In this method, using high control gain to overcome uncertainties lead to occur chattering phenomena in control law which can excite unmodeled dynamics and maybe harm the plant. In order to enhancement the sliding mode controller performance, we have used fuzzy logic. For this purpose, we have used a Fractional PID outer loop in the control law then the gains of the sliding term and Fractional PID term are tuned on-line by a fuzzy system, so the chattering is avoided and response of the system is improved against external load torque here. Presented implementation results on a DC motor confirm the above claims and demonstrate the performance improvement in this case.
Dendrochronology of pedunculate oak (Quercus robur L.) in an old-growth pollarded woodland in northern Spain: establishment patterns and the management history

Des modeles a long terme d'installation des arbres et des pratiques de gestion passees ont ete etudiees en utilisant les techniques dendrochronologiques, dans un vieux bois traite en tetard du nord de l'Espagne. La distribution des âges revele trois principales cohortes de chenes pedoncules (Quercus robur L.) concernant l'âge des arbres : < 50 ans, 150-200 ans et 250-500 ans. Les arbres jeunes et les arbres âges de 200-299 ans etaient en bouquets et spatialement separes des plus vieux arbres. Les chenes plus âges que 300 ans montraient une distribution spatiale au hasard. La moyenne des intervalles d'etetage s'est accrue au cours du temps et la moyenne des suppressions annuelles a decru significativement. La frequence de l'etetage et son intensite ont decru depuis 1917 pour les arbres murs et depuis 1905 pour les vieux arbres, suggerant un declin des pratiques d'etetage au debut du 20 e siecle. Un retard de 6 ans dans la reprise de croissance a ete note en relation avec la suppression des pousses. Ceci resulte ensemble du retablissement d'une forte croissance apres l'etetage et de la reprise de croissance dans l'espace de la couronne. Les chenes matures montrent surtout 1-3 signaux d'etetage, tandis que 4-7 suppressions par arbres etaient plus frequentes chez les tres vieux arbres. En 1774,1792, 1806,1839 et 1859, de petits groupes d'arbres et des arbres disperses etaient etetes, tandis qu'en 1905 une reduction generale de la croissance etait notee. Les resultats de cette etude ont des connotations significatives conservant la preservation et la gestion des anciens bois traites en tetard.
Sponge Mortality at Marathon and Long Key, Florida: Patterns of Species Response and Population Recovery

In the early 1990s, widespread sponge mortality events occurred in the Florida Keys, USA. These mortality events were coincidental with successive blooms of the picoplanktonic cyanobacterium Synechococcus sp. Although the specific cause of sponge death remains unknown, we conclude that bloom conditions caused the death of these sponges. We documented the effects of the mortality events on sponge community biomass and followed the sponge population response of 23 species for up to 15 years (1991 - 2006). In doing so, we provide an unprecedented, long-term, and detailed view of sponge population dynamics in the Florida Keys, following a set of environmental conditions that caused widespread mortality. Abundance of many sponge species following the mortality events was dynamic and contrasts with work done on deep-water sponge communities that have shown such communities to be stable over long periods of time. Recovery of the sponge community biomass in the Florida Keys was slow, taking 10 - 15 years. Some species showed consistent long-term trends but many others displayed constantly changing abundance in time and space. We conclude that sponge deaths resulting from relatively infrequent bloom conditions can chronically reduce sponge community biomass and have potentially long-term and widespread ecological consequences. Hurricane Wilma directly hit the study area in 2005, allowing us to also document the effects of a hurricane on sponge populations. Although this hurricane event significantly impacted sponge abundance, in general, massive, long-lived sponges that dominate sponge community biomass in the area tended to be more resistant. Hence, we conclude that sponge community biomass will recover more quickly than following bloom-related mortality events.
A Regularization Blind Image Restoration Technique by Using Particle Swarm Optimization

Image degradation in laser underwater imaging system is due to the scattering of water. Image restoration is an effective method to improve the quality of image, but its solving process is an ill-posed problem and the solution is not easily obtained in actual applications. A regularization blind image restoration method using particle swarm optimization was proposed in this paper. Regularization technique was adopted to solve ill-posed problem in the process of blind image restoration, the selection of regularization parameter still remains a difficult problem due to the amplification of noise in the inversion process. So two kind of particle swarm optimization were used to estimate regularization parameter and point spread function alternately. The results of image simulation and experiment show that the algorithm has a good effect of restoration for underwater image.
Factors associated with non-visitation by area to Congaree National Park, South Carolina

A symbiotic approach to park management holds that visitation offers benefits both to visitor and park (as through the beneficial activism), and hence should be encouraged. Accordingly, factors that constrain visitation to a park should be identified and mitigated, especially as they apply to local residents whose daily behavior is likely to affect nearby protected areas. The issue of mutual resident/park benefit is particularly important in strictly protected areas near large urban centers, yet no research to date has investigated resident constraints to visitation in such contexts. To address this gap, this study surveyed 455 adult residents of the Columbia (South Carolina) urban area and found after weighting the sample for the underrepresentation of African-Americans that over one-half had never visited nearby Congaree National Park. Non-visitors were more likely to be African-Americans, those whose household members had not previously visited the park, and those with household incomes exceeding $50,000. Hierarchical cluster analysis of non-visitors revealed a dominant group of "procrastinators" (52% of the sample) who claimed to be interested in visiting but had not found the time to do so. They were otherwise unconstrained. "Unawares" (28%), did not know about the park's existence, while the remaining 'multi-constrained' (20%), were hampered by multiple intrapersonal, interpersonal, and structural problems including poor health, lack of awareness, lack of companionship, and concerns about safety. Older residents, African-Americans, and those with lower incomes were disproportionately represented in the latter cluster. The "unawares" were significantly younger and resident in the Columbia area for fewer years than members of the other clusters.
Effect of hidden nodes in IEEE 802.15.4/ZigBee Wireless Sensor Networks

IEEE 802.15. 4/ZigBee is the standard for short range, low data rate Wireless Sensor Networks (WSN). It is targeted for battery powered applications where a long battery life is main requirement. Packet collision caused due to hidden node problem is one of the main sources of unnecessary energy waste. Because of a hidden node problem which is not treated by standard our goal was to find its influences on the overall network performances. Keywords — cluster-tree, hidden node, wireless personal area networks. I. INTRODUCTION ACKET collision is a situation when two nodes simultaneously start transmission, and their packets will collide at recipient node which wouldn't be able to successfully receive any of these packets. Packets will need to be retransmitted again which would cause unnecessary energy waste. It will be also increased packet delivery time. In wired networks this problem was solved using collision detection mechanism where each node listen the transmission medium while sending the packet. If collision occurs, the transmission is aborted immediately. In wireless networks, transmitter and receiver share much of the radio components including antenna, so node could not use them at the same time. Even if we had separate pair of transmitter and receiver, power of radio transmission, would completely overshadow any received signal, since ratio between power of transmitted and received signal is as much as million to one. Common practice is that node listen the medium before any transmission. After ensures that medium is not occupied by other nodes, it can start radio transmission. This kind of medium access operates smoothly only if node is capable to hear all nodes which participate in network. Since this is the rare case, it is possible that two nodes, which don't hear each other, start simultaneous transmission. If nodes A, B and C are located in that manner that nodes A and C are so far away that they are unable to hear each other, Figure 1. Node B is located between these nodes and it's capable to communicate with both of them. Simultaneous transmission from nodes A and C will cause packet collision on node B, and these nodes wouldn't be
Integrated Case Studies in Teaching Introductory Mathematics Courses at College

This article discusses how to integrate the directed case method to promote concept, process and application learning in an introductory mathematics course. A pretest and posttest design was applied to measure the gains on mathematics content and attitudes towards mathematics for both control and innovative sections. The innovative sections of Introductory Mathematics did much better on the posttest than the control sections even though the innovative cohort of students scored slightly lower on the pretest than did students in the control sections. As for the Attitude Toward Mathematics Inventory, the Innovation sections had “better” attitudes toward math at posttest when compared to their counterparts in the Control sections. In fact, taken together, the data suggest that a student’s perception of mathematics best aligns with their interest in and enjoyment of mathematics and self-confidence in mathematics at the outset of the course. The small changes noted by use of Case studies-based learning were influenced by the small numbers in this study. However, the trend toward a positive learning impact suggests that additional cases, introduced to address other challenging concepts, may influence learning and the enjoyment of mathematics.
The Effect of Lexicon-based Debates on the Felicity of Lexical Equivalents in Translating Literary Texts by Iranian EFL Learners

This study was an attempt to investigate the effect of lexicon-based debates on the felicity of lexical equivalents in translating literary texts by Iranian EFL learners. To fulfill the purpose of this study, 59 university students, majoring in English Translation, were randomly assigned to the experimental and control groups from a total of 73 students based on their performance on a mock TOEFL test. Next, a Translation Production Test (TPT), with two brief texts, was administrated to the participants of the study. As a prerequisite, the correlation between participants’ scores on TPT and LE (Lexical Equivalence) was calculated. The result indicated a highly positive correlation between students’ scores on the test of felicitous lexical equivalent selection and their sores on TPT performance. Then, the participants’ score on lexical equivalents were considered as a pretest to assess their ability to select the most appropriate equivalents in the translation of literary texts from L1 to L2. Finally, after a fourteen-session instruction for the experimental group, the participants sat for another TPT, which included two other brief Persian literary texts that were used to investigate the effect of the intervention. The result of statistical analyses indicated that there existed a significant statistical difference between the means of the experimental group (EG) and the control group (CG).
Technology Acceptance Model and Perceived Strategic Value in a Social Media Context : The ETAM Approach

The adoption of Social Media as part of organizational processes has been explosive during the last years. While decisions related to the adoptions of such technologies seem to be taken under competitive pressure there is little known as to the management attitudes and perceptions in the use of these technologies. The purpose of this article is to study factors affecting the acceptance of Social Media as a business strategy by Spanish retailers. A model that explains the adoption of Social Media tools has been created, on the basis of a technology acceptance model by adding the perceived strategic value, generating an extended model useful for academics and practitioners. The results confirm the central role played by the perceived ease of use of Web 2.0 in the process of its adoption as a business tool.