Miracle-dz/UniFAR-FTUs huggingface dataset:
Moxibustion: An alternative option for breech presentation

In many countries, including the UK, Australia, China, and the USA, more than 80% of breech-presenting fetuses are born by caesarean section. However, it is important for midwives to note the options that are available to women desiring a vaginal birth. This article will investigate cephalic version methods available to women with a breech-presenting baby, including external cephalic version, moxibustion and acupuncture. The literature emphasises the need for further research into alternative methods of cephalic version, for clinicians to up-skill on vaginal breech birth techniques and, if not recommend, then advise women of alternative methods available if mainstream interventions are unacceptable or contraindicated.
Analysing Sociomaterial Imbrication: Smartphone and Big Data in Hotel’s Service Performance Measurement and Management (22)

This research aims to deepen our understanding of the detailed process of technologies and organisational routines change by adopting the sociomaterial imbrication framework. We present some findings from an ongoing case study of a Vietnamese hotel where employees use smartphones as an important part of their service performance management practice. By focusing our analysis on sociomaterial imbrications under different sets of affordances and constraints, we show how smartphone and big data based service performance measures can be used in the enactment of control process both self-control and as a monitoring tool over employees. We make two main contributions. First, we extend Scott and Orlikowski’s (2012) work on online accountability in Travel 2.0 to specifically identify and explain how hotels use big data generated from Travel 2.0 and other sources to measure and manage service performance. Second, we contribute to existing research on smartphones at workplaces by providing a detailed illustration of how smartphones can become incorporated into service performance illustrated using the case study.
Multiobjective Beamforming Power Control for Robust SINR Target Tracking and Power Efficiency in Multicell MU-MIMO Wireless System

This study proposes a multiobjective beamforming power control scheme to achieve the robust quality of service (QoS), the optimal signal-to-interference-plus-noise ratio (SINR) target tracking and the minimum average power consumption simultaneously in multicell multiuser MIMO (multicell MU-MIMO) wireless system with imperfect channel. The advantages of the proposed multiobjective beamforming power control optimization method are threefold. First, the proposed power control scheme can simultaneously achieve three objectives as follows: 1) the optimal $H_{\infty }$ robust SINR target tracking performance, 2) the optimal $H_{2}$ SINR target tracking performance, and 3) the minimum average power consumption in the multicell MU-MIMO wireless system. The proposed multiobjective optimization problem (MOP) is equivalently derived as a MOP by minimizing their corresponding upper bounds under the constraint of a set of linear matrix inequalities (LMIs). Second, without the requirement of statistical information and the norm-bounded condition of the channel uncertainty, the effect of inter-cell interference, intra-cell interference, channel uncertainty, round trip delay, and noise can be efficiently attenuated by the proposed robust SINR target tracking method. Third, through the proposed LMIs-constrained multiobjective evolution algorithm (MOEA), the designer can obtain Pareto optimal solutions efficiently with a good distribution along the Pareto front to achieve the proposed multiobjective power control design. Several simulation examples with the proposed multiobjective control scheme are produced with favourable results under the guarantee of the theoretical analysis.
Grasp planning methodology for 3d arbitrary shaped objects

Object grasping and manipulation has become an area of great interest in robotics, specially due to the development of dexterous grasping devices like anthropomorphic hands that increase the flexibility and versatility of the robot arms, allowing the grasping and manipulation of a large variety of objects with a single end effector. This thesis tackles several planning problems associated with grasping and manipulation of arbitrary discrete objects, i.e. objects described with a cloud of points or a polygonal mesh. The computation of a force closure grasp and a locally optimal grasp is tackled using oriented search procedures based on geometric reasoning in the wrench space. The grasp quality measure considered is the largest perturbation wrench that the grasp can resist independently of the perturbation direction. However, real mechanical hands and grasping devices can hardly assure that the fingers will precisely touch the object at the computed contact points. Independent contact regions (ICRs) such that a finger contact in each ICR ensures a force closure grasp, provide robustness in front of finger positioning errors. This thesis presents an approach to compute ICRs with any number of frictionless or frictional contacts on the surface of any 3D object, assuring a controlled minimum grasp quality. The approach generates the ICRs by growing them around the contact points of a given appropriated starting grasp, like for instance a locally optimal grasp. The approach is also extended to compute the ICRs when several contacts are fixed beforehand. The notion of Non-Graspable Regions (NGRs) is introduced in this work, such that a finger contact in each NGR always produces a non-force closure grasp independently of the exact position of each finger. The ICRs and NGRs are used to efficiently explore the grasp space. The grasp space is constructed using a sampling method that provides samples of force closure or non force closure grasps used to compute ICRs or NGRs, respectively, which are used to label the configurations of the grasp space. An efficient deterministic sampling sequence is provided to allow a good incremental and uniform exploration of the grasp space. The generation of the grasp space is then applied to solve the regrasping problem, i.e. to obtain trajectories of the fingertips on the object surface in order to change from an initial to a final grasp without losing the force closure condition. Application examples are included to illustrate the relevance and performance of the proposed approaches.
Roughly balanced bagging for imbalanced data

The class imbalance problem appears in many real‐world applications of classification learning. We propose an ensemble algorithm “Roughly Balanced (RB) Bagging” using a novel sampling technique to improve the original bagging algorithm for data sets with skewed class distributions. For this sampling method, the number of samples in the largest and smallest classes are different, but they are effectively balanced when averaged over all of the subsets, which supports the approach of bagging in a more appropriate way. Individual models in RB Bagging tend to show larger diversity, which is one of the keys of ensemble models, compared with existing bagging‐based methods for imbalanced data that use exactly the same number of majority and minority examples for every training subset. In addition, the proposed method makes full use of all of the minority examples by under‐sampling, which is efficiently done by using negative binomial distributions. Numerical experiments using benchmark and real‐world data sets demonstrate that RB Bagging shows better performance than the existing “balanced” methods and other common methods for area under the ROC curve (AUC), which is a widely used metric in the class imbalance problem. Copyright © 2009 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 2: 412‐426, 2009
Behavior of Manets with Evolutionary Algorithms

Developmental calculations are metaheuristic calculations that give semi ideal arrangements in a sensible time. They have been connected to numerous enhancement issues in a high number of logical regions. In this paper, we center on the utilization of developmental calculations to take care of improvement issues identified with a kind of complex system like portable multihop specially appointed systems. Since its starting point, portable multihop specially appointed system has advanced causing new kinds of multihop systems to seem, for example, vehicular impromptu systems and postpone tolerant systems, prompting the arrangement of new issues and streamlining issues. In this article, an audit of the primary work introduced for each kind of versatile multihop specially appointed system and additionally exhibit some imaginative thoughts and open difficulties to manage additionally explore in this point.
REMANIEMENTS DU GENE NUP98 DANS LES HEMOPATHIES MALIGNES HUMAINES

Les hemopathies malignes humaines sont associees a des remaniements chromosomiques recurrents. NUP98 est un gene a multipartenaires, remanie de maniere recurrente dans les hemopathies malignes. Il code pour une nucleoporine qui participe au complexe de pore nucleaire. Deux nouveaux partenaires CCDC28A en 6q24 et HMGB3 en Xq28 ont ete caracterises chez deux patients presentant une hemopathie maligne avec remaniement de NUP98. Une fusion NUP98-NDS1 est decrite dans une translocation complexe. Une revue retrospective des cas publies indiquent que les remaniements du gene NUP98 sont rares. Ils surviennent essentiellement dans des hemopathies myeloides de novo, parfois dans les leucemies lymphoides T, jamais dans les leucemies lymphoides B. Les genes partenaires comprennent des genes a homeboites, des genes remaniant la chromatine et des genes codant pour des proteines cytoplasmiques. En proportion, les partenaires les plus frequemment remanies sont les genes HOX. Les hemopathies sont toujours a caryotypes simples. Il existe une correlation genotype/phenotype. La proteine CCDC28A, de fonction inconnue, est de localisation cytoplasmique. Une proteine analogue, CCDC28B, est impliquee en genetique humaine dans le syndrome de Bardet-Biedl. Le transcrit CCDC28A est exprime precocement dans l'embryogenese et dans tous les tissus humains. HMGB3 est un gene de l'hematopoiese murine et des cellules souches embryonnaires. L'etude fonctionnelle des fusions NUP98-CCDC28A et NUP98-HMGB3, dans des progeniteurs hematopoietiques murins, greffes chez la souris irradiee, a montre leurs forts pouvoirs transformants. Ces fusions induisent des leucemies aigues rapidement letales. De maniere originale, ces fusions deregulent peu les HOX, et ne deregulent pas MEIS1, contrairement a plusieurs fusions NUP98, notamment NUP98-HOXA9, suggerant un mecanisme de transformation different, situe en aval de la voie canonique Hoxa9-Meis1.
Implementation of Low Cost Memory Subsystem for Low-end IoT Devices

The increasingly popular IoT devices and cloud computing devices are being developed in various models from high to low price, but the low-cost market is still growing more actively. In these devices, where internet communication is a key feature, the most expensive components are memory and screen panels. Currently, screen panels are limited in LCD and OLED technology, so the choice is small, but memory includes flash memory, hard disk, DRAM, SRAM, SDRAM, multi-bank memory, and on-chip memory. Therefore, each type is selected and configured according to requirements such as function, power consumption, performance, and cost. The choice of memory architecture available for low-cost IoT devices is quite limited, with a small configuration of SRAM and some flash memory or DRAM. In the case of hard real-time IoT devices, it is very difficult to meet the deadlines in such a memory structure, and developers apply various system optimizations to solve them. Normally, multibank DRAM is selected at the hardware design stage. Parallel access to as many bank memories as possible in the same space can significantly improve system performance. If the hardware is selected as multi-bank memory, there must be system software to support it. In other words, a compiler must be provided to generate program code for parallel memory access. This is because traditional compilers generate program code for sequential access. In this paper, we propose a parallel memory access program code generation method for multi-bank memory support of low-cost IoT devices. The proposed method solves the data placement problem for multi-bank memory and maximizes system performance by actively using multi-bank memory
Robust Design Optimization for Low-Cost Concrete Box-Girder Bridge

The design of a structure is generally carried out according to a deterministic approach. However, all structural problems have associated initial uncertain parameters that can differ from the design value. This becomes important when the goal is to reach optimized structures, as a small variation of these initial uncertain parameters can have a big influence on the structural behavior. The objective of robust design optimization is to obtain an optimum design with the lowest possible variation of the objective functions. For this purpose, a probabilistic optimization is necessary to obtain the statistical parameters that represent the mean value and variation of the objective function considered. However, one of the disadvantages of the optimal robust design is its high computational cost. In this paper, robust design optimization is applied to design a continuous prestressed concrete box-girder pedestrian bridge that is optimum in terms of its cost and robust in terms of structural stability. Furthermore, Latin hypercube sampling and the kriging metamodel are used to deal with the high computational cost. Results show that the main variables that control the structural behavior are the depth of the cross-section and compressive strength of the concrete and that a compromise solution between the optimal cost and the robustness of the design can be reached.
Design an active verification mechanism for certificates revocation in OCSP for internet authentication

No doubt that data security online is crucial. Therefore, great attention has been paid to that aspect by companies and organizations given its economic and social implications. Thus, online certificate status protocol (OCSP) is considered one of the most prominent protocol functioning in this field, which offers a prompt support for certificates online. In this research, a model designed based on field programable gate array (FPGA) using Merkel’s tree has been proposed to overcome the delay that might have occurred in sorting and authentication of certificates. Having adopted this model and with the assistance of Hash function algorithm, more than 50% of certificates have been processed in comparison with standard protocol. Moreover, certificates have been provided with substantial storage space with high throughput. Basically, Hash function algorithm has been designed to arrange and specify a site of verified or denied certificates within time of validity to protect servers from intrusion and clients from using applications with harmful contents.
Artificial neural networks for pattern recognition

This work describes the advantages and disadvantages of using neural networks for pattern recognition. Several neural network models are described and their use for pattern recognition is demonstrated. Standard multi-layered perceptron model is compared to a more sophisticated convolutional network model. A new network model is introduced, which is inspired by the convolutional networks and aimed at rectifying some of their shortcomings. The work describes results of tests performed with the described network model on the problem of recognizing hand-written digits.
Intra-Articular Implantation of Stromal Vascular Fraction Plus Platelet Rich Plasma in a Degenerative Meniscal Injury

Regenerative medicine and specifically stem cell therapy is growing in popularity in a variety of orthopedic conditions including meniscal injuries. Stromal vascular fraction (SVF) which is easily obtained from adipose (fat tissue) is a mixture of adipose derived stem cells/mesenchymal stem cells, pericytes, fibroblasts, progenitor/endothelial cells, and other cells. A mini-lipoaspiration procedure to obtain a small sample of fat can be completed using a cannula under local anesthesia. The SVF is separated from the adipocytes (fat cells) using enzyme digestion and centrifugation. Platelet rich plasma (PRP) from the peripheral blood is a mixture of growth factors and cytokines. We present a case study and to our knowledge first in man with a before and after arthroscopic evaluation showing the repair of a meniscal tear using SVF plus PRP. Adipose tissue (65 mL) was removed via a mini-lipoaspirate procedure under local anesthesia. Approximately 5 mL of whole fat was washed and prepared for injection. For the remaining 60 mL of fat, the adipocytes were removed after enzyme digestion and centrifugation to isolate the SVF. PRP (approximately 4 mL) was used to resuspend the cells for an intra-articular injection. The patient received five additional PRP injections of 2.5 mL at 3 - 4 week intervals. The patient was monitored over a 12-month period for safety (including severe adverse events (SAEs) and adverse events) and quality of life parameters. In addition, an arthroscopic evaluation was completed at baseline and 9 months post procedure. There were no reported SAEs or other safety complications during the procedure or the follow-up time period. The patient demonstrated reduction of pain with clearly visible repair on the arthroscopic evaluation. The patient expressed an overall improvement in quality of life and willingness to repeat PRP treatments. Based on the outcomes of this case study, intra-articular injection of SVF plus PRP could be a feasible treatment plan for a patient with chronic meniscus injury. J Med Cases. 2018;9(7):221-225 doi: https://doi.org/10.14740/jmc3091w
Embedded Three-Dimensional Printing of Autonomous and Somatosensitive Soft Robots

Soft robots possess attributes that are difficult, if not impossible, to achieve with traditional robots. However, soft robots remain dependent on rigid hardware components, inhibiting the full benefits of being soft. New fabrication methods that enable the assembly of soft matter with multifunctional properties are needed to realize soft robots’ full potential. This dissertation focuses on new material and manufacturing strategies for creating soft robots that possess soft analogues of power, control, and sensory components. Central to this research is a technique called embedded three-­‐‐dimensional (EMB3D) printing, in which functional inks are extruded through nozzles that translate omnidirectionally within viscoplastic matrix materials. For this work, several functional inks and elastomeric matrices that cure after printing were designed for printing soft robots with pneumatic/fluidic, catalytic, and sensory elements. We first investigate how matrix rheology, various printing parameters, and print path influence printing results. We find that maximizing the Oldroyd number associated with EMB3D printing conditions improves print fidelity. Next, we use EMB3D printing to assemble the “Octobot,” the first entirely soft, autonomous robot capable of untethered operation. Octobots are controlled by microfluidic logic-­‐‐based devices that autonomously regulate the catalytic decomposition of an on-­‐‐board monopropellant fuel supply. Gas generated from fuel decomposition inflates networks of fluidic actuators. The Octobot’s body and microfluidic logic are fabricated using molding and soft lithography, respectively, while all mesofluidic
Developing a thermodynamic a conceptual model for the Itumbiara hydroelectric reservoir based on satellite and telemetric data

Aquatic systems continually respond to climatic conditions that vary over broad scales of space and time. The response of each water body to external conditions (hydro-meteorological processes) is revealed in the first place by the thermal structures present in water body. Most lacustrine chemical, physical and biological processes are affected directly by lake hydrological (e.g. lake depth) and thermal changes (e.g. seasonal stratification), and are thus, indirectly affected by climate variation. Understanding lake-climate system interactions is therefore of fundamental importance to evaluate the effects of climate change on limnological processes. Based on this, the objective of this work was to develop a thermodynamic conceptual model for the Itumbiara hydroelectric reservoir (Goias State, Brazil). The developed methodology was based on the use of satellite imagery of moderate resolution that allow the computation of the water surface temperature from 2003 to 2008 (six years) during the daytime and nighttime. The results showed the potential of the use of moderate resolution satellite data to study water surface temperature variability and to explain the main causes of this variability. The use of hydro-meteorological and bulk temperature collected by station and autonomous buoy, respectively, contributed to better understand the physical processes in the mixed depth of the reservoir. Also the results allow the elaboration of conceptual models for the thermodynamics of the Itumbiara reservoir.
Accurate and Fast Recovery of Network Monitoring Data: A GPU Accelerated Matrix Completion

Gaining a full knowledge of end-to-end network performance is important for some advanced network management and services. Although it becomes increasingly critical, end-to-end network monitoring usually needs active probing of the path and the overhead will increase quadratically with the number of network nodes. To reduce the measurement overhead, matrix completion is proposed recently to predict the end-to-end network performance among all node pairs by only measuring a small set of paths. Despite its potential, applying matrix completion to recover the missing data suffers from low recovery accuracy and long recovery time. To address the issues, we propose MC-GPU to exploit Graphics Processing Units (GPUs) to enable parallel matrix factorization for high-speed and highly accurate Matrix Completion. To well exploit the special architecture features of GPUs for both task independent and data-independent parallel task execution, we propose several novel techniques: similar OD (origin and destination) pairs reordering taking advantage of the locality-sensitive hash (LSH) functions, balanced matrix partition, and parallel matrix completion. We implement the proposed MC-GPU on the GPU platform and evaluate the performance using real trace data. We compare the proposed MC-GPU with the state of the art matrix completion algorithms, and our results demonstrate that MC-GPU can achieve significantly faster speed with high data recovery accuracy.
Technical development for automatic aerial triangulation of high resolution satellite imagery

Image registration is a popular research topic in the fields of remote sensing, photogrammetry, computer vision, pattern recognition, and medical image processing. Both corner and center points are used for image registration, but the differences in performance of image registration depending on which points are used, has not drawn much attention. Such performance differences have the potential to directly affect the success of multi-resolution or multi-modal image registration. The goal of this paper is to compare the characteristics of corner and center points in image registration and to quantify the differences in their performance. Corners and gravity centers were compared in two cases: 1) registration of images with the same resolution; and 2) registration of images with different resolution. The results showed that gravity centers provide more accurate results for image registration in both cases. Quantitative analysis revealed that the position error of the centers is only about 60% or less of the position error of the corners. Experiments are presented that confirm this finding.