Miracle-dz/UniFAR-FTUs huggingface dataset:
Contract-Based Small-Cell Caching for Data Disseminations in Ultra-Dense Cellular Networks

Evidence indicates that demands from mobile users (MU) on popular cloud content, e.g., video clips, account for a dramatic increase in data traffic over cellular networks. The repetitive downloading of hot content from cloud servers will inevitably bring a vast quantity of redundant data transmissions to networks. A strategy of distributively pre-storing popular cloud content in the memories of small-cell base stations (SBS), namely, small-cell caching, is an efficient technology for reducing the communication latency whilst mitigating the redundant data streaming substantially. In this paper, we establish a commercialized small-cell caching system consisting of a network service provider (NSP), several video providers (VP), and randomly distributed MUs. We conceive this system in the context of 5G cellular networks, where the SBSs are ultra-densely deployed with the intensity much higher than that of the MUs. In such a system, the NSP, in charge of the SBSs, wishes to lease these SBSs to the VPs for the purpose of making profits, whilst the VPs, after pushing popular videos into the rented SBSs, can provide faster local video transmissions to the MUs, thereby gaining more profits. Specifically, we first model the MUs and SBSs as two independent Poisson point processes, and develop, via stochastic geometry theory, the probability of the specific event that an MU obtains the video of its choice directly from the memory of an SBS. Then, with the help of the probability derived, we formulate the profits of both the NSP and the VPs. Next, we solve the profit maximization problem based on the framework of contract theory, where the NSP acts as a monopolist setting up the optimal contract according to the statistical information of the VPs. Incentive mechanisms are also designed to motivate each VP to choose a proper resource-price item offered by the NSP. Numerical results validate the effectiveness of our proposed contract framework for the commercial caching system.
GEOMETRICAL REPRESENTATION OF QUANTUM BIT OPERATIONS

Reprezentările grafice bazate pe transformări geometrice sunt o metodă expresivă foarte bună de simulare a operaţiilor efectuate asupra sistemelor cuantice de procesare a informaţiei. Considerând un sistem format dintr-un sigur qubit, demonstraţiile prezentate în această lucrare justifică corespondenţa între o clasă de operaţii care modifică starea qubitului şi nişte tranformări geometrice pe sfera Bloch. Operaţiile efectuate asupra qubitului sunt expimate prin exponenţierea operatorilor Pauli, în timp ce transformările geometrice corespunzătoare sunt rotaţii pe sfera Bloch, în jurul axelor de coordonate.
On the development of a subgrid-scale model for the generation of micro-bubbles from impacting liquid surfaces

The generation of micro-bubbles upon the collision of two bodies of liquid in a gaseous environment is an ubiquitous process in two-phase flows. Upon collision, small amounts of gas become entrapped in thin films between the liquid surfaces. Due to flow instabilities that are currently under investigation, the gas films break up into smaller tiny bubbles that are later dispersed. For example, in ships, air bubbles of a broad range of sizes are often entrained due to boundary layers and stern waves, forming an elongated wake that lasts for several kilometers downstream. The bubbly wake can be detected acoustically (Trevorrow et al. 1994) or by aerial imaging (Reed & Milgram 2002), which may undesirably reveal the presence and position of the ship. The generation of microbubbles has been previously studied in breaking waves (Deane & Stokes 2002; Melville 1996) and falling rain droplets on the ocean (Blanchard & Woodcock 1957; Prosperetti & Og̃uz 1993). Micro-bubbles are important for aerosol generation (Knelman et al. 1954; Lhuissier & Villermaux 2012), sound generation (Pumphrey & Crum 1988) and enhanced albedo (Seitz 2011; Crook et al. 2016), along with other interfacial mass, momentum and energy transfer processes in the ocean (Thorpe 1992). A better understanding of microbubbles would shed light on the fundamental mechanisms behind these processes and allow a more accurate evaluation of their impact. The process at the core of these phenomena – splashing – has been well documented for decades (Worthington 1908; Edgerton & Killian 1939), but the fundamental physics behind the various regimes of splashing, including the dynamics of the entrapped gas films, remain an active area of research (Rein 1993; Yarin 2006; Josserand & Thoroddsen 2016). Many recent computational studies have been devoted to the accurate resolution of airwater interfaces, including 3D simulations on structured grids for hydraulic jumps (Mortazavi et al. 2016) and breaking waves (Wang et al. 2016; Deike et al. 2016). These simulations resolve the Hinze scale (Hinze 1955) of the system using grids such that the subgrid-scale (SGS) Weber number
Towards Virtual Machine Image Management for Persistent Memory

Persistent memory's (PM) byte-addressability and high capacity will also make it emerging for virtualized environment. Modern virtual machine monitors virtualize PM using either I/O virtualization or memory virtualization. However, I/O virtualization will sacrifice PM's byte-addressability, and memory virtualization does not get the chance of PM image management. In this paper, we enhance QEMU's memory virtualization mechanism. The enhanced system can achieve both PM's byte-addressability inside virtual machines and PM image management outside the virtual machines. We also design pcow, a virtual machine image format for PM, which is compatible with our enhanced memory virtualization and supports storage virtualization features including thin-provision, base image and snapshot. Address translation is performed with the help of Extended Page Table (EPT), thus much faster than image formats implemented in I/O virtualization. We also optimize pcow considering PM's characteristics. The evaluation demonstrates that our scheme boosts the overall performance by up to 50x compared with qcow2, an image format implemented in I/O virtualization, and brings almost no performance overhead compared with the native memory virtualization.
- 05-04 Motion Control for Intelligent Ground Vehicles Based on the Selection of Paths Using Fuzzy Inference

In this paper I describe a motion planning technique for intelligent ground vehicles. The technique is an implementation of a path selection algorithm based on fuzzy inference. The approach extends on the motion planning algorithm known as driving with tentacles. The selection of the tentacle (a drivable path) to follow relies on the calculation of a weighted cost function for each tentacle in the current speed set, and depends on variables such as the distance to the desired position, speed, and the closeness of a tentacle to any obstacles. A Matlab simulation and the practical implementation of the fuzzy inference rule on a Clearpath Husky robot within the Robot Operating System (ROS) framework are provided.
Detectability on RNA expression microarrays

Tiled microarrays are widely used to assess expression along the genome. Usually, the same probes are used for all microarrays which contain samples from different individuals. Therefore will SNP’s cause some probes not to match perfectly. By using repeated copies of probe pairs, which only differ by a single base, we can estimate the effect on RNA expression of altering a single base at the middle of a probe. Power analysis showed that given enough repetitions around half of probe-pairs have significantly different intensity levels when a single base is altered. It is also shown that perfectly matching probes can have higher mean intensity levels than mismatching probes.
Investigation on Solar Hybrid Cooling System with High Latent Cooling Load

The air conditioning (A/C) system operates to make comfortable circumstances. In Iraq, the air conditioners are the principal cause of high electrical demand. In summer, the outer temperature sometimes exceeds 50 C. This significantly effects on the A/C system performance and power consumed. In the present work, the improvement in mechanical and electrical performance of split A/C system is investigated experimentally and analytically. The ambient air temperatures are taken from 35 C to 45 C in the experimental study. The performance of the conventional and the proposal A/C system split type were compared. The results show that, the using of the solar A/C system had not better performance and energy saving than the conventional one. With the using of the solar system, the cooling capacity, condenser capacity, COP, and COPU at 45 C and 57 C are decreased respectively. While with the conventional system they have an elevated values if compared with the proposed system.
The occupants' stress on each PMV condition - Chamber study using brain wave

This study is designed to investigate the relationship between the thermal comfort environment and stress using brain wave analysis. To achieve this purpose, an experimental approach in a climate chamber based on PMVs was adopted. Environmental factors were set with the PMV scale ranging from -3 to +2. The brain waves of each of the participants (N=7; males) were measured in six conditions, in the PMV order from cold to hot, i.e. one condition per day. The results suggest that the participants felt least stressed under the PMV 0 and most stressed under the PMV -3 and +2. In addition, the stress levels arising from the brain waves varied with time. For an immediate exposure, an order effect was found. Participants felt more stressed in the process of PMV change from 0 to +1, compared to PMV +1 to PMV +2. However, in one hour, they felt most stressed in the hottest environment condition.
CENTERIS 2014-Conference on ENTERprise Information Systems / ProjMAN 2014-International Conference on Project MANagement / HCIST 2014-International Conference on Health and Social Care Information Systems and Technologies Promoting face-to-face communication through the use of a new micro-broadcasti

This paper attempts to consider the role of a new mobile micro-broadcast (or near-me) Location-Based Service prototype (named “I’m on campus and .”) to promote face-to-face communication among users located within a given geographical area such as a University campus. As the communication services provided are contextand time-dependent, this new Location-Based Service attempts to increase social and informal user experience and, probably, add some added value to formal learning. The paper presents some User eXperience (UX) preliminary results of the prototype applied to specific campus activities in the field (on a real higher education campus). The paper also shows some evidence of the usefulness of this new mobile micro-broadcast Location-Based Service applied to a real campus in promoting face-to-face communication. The research paradigm followed was the ‘development research’. © 2014 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Organizing Committees of CENTERIS/ProjMAN/HCIST 2014
DEPTH ESTIMATION BY CONVOLUTIONAL NEURAL NETWORKS

This thesis deals with depth estimation using convolutional neural networks. I propose a three-part model as a solution to this problem. The model contains a global context network which estimates coarse depth structure of the scene, a gradient network which estimates depth gradients and a refining network which utilizes the outputs of previous two networks to produce the final depth map. Additionally, I present a normalized loss function for training neural networks. Applying normalized loss function results in better estimates of the scene’s relative depth structure, however it results in a loss of information about the absolute scale of the scene. Abstrakt Táto práca sa zaoberá odhadom hĺbky s použitím konvolučných neurónových sietí. Pre vyriešenie tohto problému je v práci navrhnutý model skladajúci sa z troch častí. Model sa skladá zo siete globálneho kontextu, ktorá odhaduje hrubú štruktúru scény, gradientovej siete, ktorá odhaduje hĺbkové gradienty a zjemňujúcej siete, ktorá na základe výstupov z predchádzajúcich dvoch sietí odhadne konečnú hĺbkovú mapu. Ďalej v práci navrhujem normalizovanú chybovú funkciu na trénovanie neuronových sietí. Použitie tejto chybovej funkcie zlepšuje odhady relatívnej hlbkovej štruktúry scény, za cenu straty informácie o absolutnej hlbke v scéne.
CONFUCIAN PRINCIPLES , GUANXI AND JOINT ACTION IN A CONFUCIAN ROOTED SUPPLIER-DISTRIBUTOR DYAD CONTEXT

This research investigates the effect of Confucian principles on joint action, through a mediating role of guanxi dynamics in a supplier-distributor dyad. More specifically, the influence of core Confucian principles including ren (benevolence), yi (righteousness), li (propriety), zhi (wisdom),
Validation of the ST 3 x 1 Step Test as an estimator of peak VO 2 in adults with cardiovascular risk factors

Objective: To validate a tool for assessment and control of functional capacity and peak oxygen uptake. Methods: A transversal, correlational study was conducted in which 111 subjects (49.81 ± 11.16 years) were evaluated, their body mass index (BMI) was 31.42 ± 4.07, classified with moderate and high cardiovascular risk, according to the American Association of Cardiovascular and Pulmonary Rehabilitation. Its peak oxygen uptake was measured directly and also through the Step Test 3x1 (ST3x1). Results: Peak oxygen uptake in ST3x1 corresponded to 28.54 ml•kg-1•min-1 and direct measurement at 28.14 ml•kg-1•min-1, with a “strong positive” Pearson correlation r = 0.81, Student n/s p = 0.14 Conclusion: ST3x1 is a valid alternative to estimate peak oxygen uptake in the group studied, and can be used in mass public health physical activity programs.
Authorship Detection in Dark Web Marketplaces using LSTM and RNN Neural Networks

This project aims to apply LSTM and RNN neural networks to authorship classiﬁ-cation in dark web forum posts. By using passages represented by GloVe vectors, the neural networks are trained on semantic data inputs. The ﬁndings are suggestive of LSTM’s utility in authorship classiﬁcation tasks, and cast reasonable doubt on anonymity in forums with verbal communications.
Automated Template B : Created by James Nail 2011 V 2 . 1 Developmental effects and selection pressure of Genuity VT 3 PRO field corn on corn earworm , Helicoverpa zea ( Lepidoptera : Noctuidae )

Genuity VT3 PRO field corn expresses Cry1A.105 and Cry2Ab and is considered to have good activity against corn earworm, Helicoverpa zea (Boddie). Twelve non-Bt and twenty VT3 PRO corn fields were surveyed across Mississippi during 2012 and 2013 to compare corn earworm populations among these hybrids across the landscape. H. zea larvae were collected from these fields to evaluate fitness costs associated with development on a transgenic host. Each year, populations of H. zea were observed in VT3 PRO fields, but non-Bt fields supported higher larval densities. Larvae also developed faster on non-Bt fields compared to VT3 PRO. Larval survivorship and development increased in VT3 PRO corn as ears matured. Pupal weight was higher and pupal duration was longer for larvae collected from VT3 PRO corn fields compared to larvae collected from non-Bt fields. These data will be important for estimating the impact of dual-gene Bt corn hybrids on H. zea resistance to these toxins. Introduction The corn earworm, Helicoverpa zea (Boddie), is a primary pest of cotton, Gossypium hirsutum (L.), grain sorghum, Sorghum bicolor (L.), and soybean, Glycine
Approximation Errors in AVO-Analysis and Inversion

The AVA-response of two-layer models for AVO-Classes 1 and 3 is computed with the Shuey-approximation, the Fatti-approximation as well as the Smith and Gidlowapproximation and is compared to exact Zoeppritz. For both AVO-Classes, a weak reflector and a strong reflector are considered in order to test the small parameter change assumption. Shuey’s approximation is utilized in order to test the case of weak VTI-type anisotropy. The VTI-approximation error is found to be secondary to the isotropic approximation error for both Class 1 reflectors considered. Smith and Gidlow style least-squares fitting is employed in order to fit all three Zoeppritz-approximations to exact Zoeppritz responses for the same range of twolayer models. Shuey’s approximation gives the best fit for the Class 3 case, and for both Class 1 and Class 3, the Shuey-fit improves with reflector strength. Exact Zoeppritz plane wave responses are least squares fitted to spherical wave AVO-responses of reflectors at 1000m depth. For both the weak reflector and the strong reflector, the fit is very good in the Class 3 situation. In the Class 1 case, the fit is poor in the vicinity of the critical angle and, in general, deteriorates with reflector strength.
The relationship between angiotensin II type 1 receptor gene A 1166 C polymorphism and cancer risk : a meta-analysis

A number of studies have examined the association between angiotensin II type 1 receptor (AGTR1) gene A1166C polymorphism and risk of cancer but revealed in consistent results. The aim of this study was to clarify the association between AGTR1 gene A1166C polymorphism and risk of cancer. Databases including PubMed and Embase databases were searched to find relevant studies. The odds ratio (OR) with corresponding 95% confidence intervals (CIs) was performed. A total of 7 case-control studies were finally identified. The results suggested that AGTR1 gene A1166C polymorphism was associated with a significantly decreased risk of cancer (Recessive model: OR=0.66, 95% CI 0.44-0.99). In stratified analysis by race, we also found that this polymorphism decreased cancer risk in Caucasians and Breast cancer (BC). No publication bias was found in the present study. In conclusion, the present meta-analysis suggests that the A1166C polymorphism in AGTR1 gene is associated with a significantly decreased risk of cancer, especially in Caucasian population and BC. More studies with larger sample size, well controlled confounding factors are warranted to validate this association.
Understanding through Task and Browser Design

While electronic text offers the potential to explain, illustrate, and scaffold understanding in powerful new ways, few studies on educational use of electronic text resources have shown significant learning gains, or even measured learning outcomes in controlled experiments (Chen & Rada, 1996; Dillon & Gabbard, 1998). In a follow-up to previous studies (Wiley & Voss, 1999), the present experiments study the effects of different tasks and browser designs on navigation and reading patterns, as well as on memory and comprehension measures from electronic text. These studies have revealed that only when both the task and the design support integration (such as in a two-windowed browser) and students are explicitly directed how to use the feature, do students take advantage of the flexibility of the multiple-source environment, integrate across sources, and achieve the best level of understanding.
Using Ultrasonic Tactile Sensor for Materials Recognition On Thin Wall Objects in Assembly Lines

One of the important tasks of robots is object recognition without human intervention. The main aim of this study is developing an ultrasonic sensor to recognize the materials of thin wall objects. This study is based on the physics rules in ultrasonic that ultrasonic velocities, longitudinal and transverse velocities, are altered in different materials because of differences in their elastic modulus. Obviously applying forces by robot to an object walls should be in harmony with their elastic modules and kind of materials, especially thin wall objects. The novelty of this research is related to using an especial probe for omitting the effect of near field by using a delay line made of a column of water in plastic membrane. The ultrasonic sensors with delay lines make it possible to detect the material of thin wall objects. The measured ultrasonic velocities are compared with standard ones to detect objects materials. The results of experiments are very promising and confirm that it is possible to detect plates made of St 11, copper, with 1 m thickness.
The Impact of Adapting a General Professional Development Framework to the Constraints of In-Service Professional Development on the Next Generation Science Standards in Urban Settings

Urban school districts face a dilemma in providing professional development support for teachers in transition to the Next Generation Science Standards (NGSS). Districts need to maximize the quality and amount of professional development within practical funding constraints. In this paper, we discuss preliminary results from a researcher-practitioner partnership between Northwestern University and the Chicago Public Schools. We explore a model for quarterly NGSS professional development for urban middle school science teachers that spans three years. The workshop inquiry experiences are aligned to areas of research excellence at Northwestern. Teachers in twenty-three of the schools responded to a survey on the impact of formal and informal learning experiences on changes in teaching practice. We also analyzed the growth in student-rated inquiry-based science teaching practices. The results indicate that the professional development program had a significant direct impact on teaching practices as well as indirect impact on the teaching practices of other teachers at the school.
Lessons from Okun ’ s Law for African Countries

The main objective of this work is to measure the reaction of unemployment to growth in some African countries. It comes to estimate the Okun’s coefficient, test its validity and measure its intensity. The results presented in this work propose that gross domestic unemployment and production be weakly linked or untied in the majority of the examined countries, regardless of the model used to estimate the Okun’s Another objective was to determine the origins of the Okun’s coefficient variability within Africa. The literature informed us that these origins are in principle of structural, demographic and/or economic nature. In addition, our empirical approach confirmed the relevance of the demographic factors, the level of competition in the domestic market, and the rule of law. JEL Classification: E24, E32