Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring volume kinetics of human monocytes in response to cryoprotectants using microfluidic technologies

Cryopreservation is a common strategy for the preservation of biological cells and tissues. While conventional platforms such as cell culture well plate systems enable measuring cell responses to various cryoprotectants, the drawbacks associated with capturing and imaging of cells limit the utility of such systems. Microfluidic technologies facilitate the capturing, chemical stimulation, and imaging of cells using low sample volumes. Here, we utilized microfluidic technologies for the hydrodynamic capturing of single human monocytes and studying the cell volume kinetics in response to a cryoprotectant in real time. Our approach facilitates conducting multistep cellular assays, especially for studying individual cell osmotic response and determining cell membrane permeability to cryoprotectants.Cryopreservation is a common strategy for the preservation of biological cells and tissues. While conventional platforms such as cell culture well plate systems enable measuring cell responses to various cryoprotectants, the drawbacks associated with capturing and imaging of cells limit the utility of such systems. Microfluidic technologies facilitate the capturing, chemical stimulation, and imaging of cells using low sample volumes. Here, we utilized microfluidic technologies for the hydrodynamic capturing of single human monocytes and studying the cell volume kinetics in response to a cryoprotectant in real time. Our approach facilitates conducting multistep cellular assays, especially for studying individual cell osmotic response and determining cell membrane permeability to cryoprotectants.
The Effect of Dividend Policy on the Market Value of the Jordanian Commercial and Islamic Banks Listed on the Amman Stock Exchange

This study aims at examining the effect of Dividend Policy on the market value of Jordanian commercial and Islamic banks. The study population consists of all Jordanian banks listed on the Amman Stock Exchange during the period from 2008 – 2018. Data were collected from the annual reports of the sample banks. After the data collection, they were analyzed using descriptive analysis, correlation analysis, and multiple regression analysis. The results showed a statistically significant impact of dividend policy, this result indicates that there is an impact of the dividend policy on the market value of Jordanian commercial and Islamic banks listed on the ASE during the period 2008-2018. The results also showed a difference between the companies in terms of dividend policy followed, in addition, asymmetry in the Dividend Policy in banks during the study period. The study recommended a number of recommendations, including that manager of firms, should develop effective dividend payout policies to ensure that their firms pay out dividends to enhance the value of their companies and plan an efficient and reliable dividend policy, to suit the wishes of investors, and to engage stakeholders in a dialogue on dividend policy.
A High Rate Testbeam Data Acquisition System and Characterization of High Voltage Monolithic Active Pixel Sensors

New experiments, designed to test the Standard Model of particle physics with unprecedented precision and to search for physics beyond, push detector technologies to their limits. The Mu3e experiment searches for the charged lepton flavor violating decay μ+ → e+e−e+ with a branching ratio sensitivity of better than 1 ·10−16. This decay is suppressed in the StandardModel to unobservable levels but can be sizable in models beyond the Standard Model. The Mu3e detector consists of a thin pixel spectrometer combined with scintillating detectors to measure the vertex, momentum and time of the decay particles. Requirements on rate and material budget cannot be fulfilled by classical pixel sensors and demand the development of a novel pixel technology: high-voltage monolithic active pixel sensors (HV-MAPS). Two important steps towards a final pixel detector are discussed within the scope of this thesis: the characterization of two HV-MAPS prototypes from the MUPIX family and the development of a tracking telescope based on HV-MAPS with online monitoring, tracking and efficiency calculation for particle rates above 10 MHz. Using the telescope it is shown that the transition from the small-scale MUPIX7 to the full-scale MUPIX8 has been successful. Sensor characterization studies of the MUPIX8 show efficiencies above 99% at noise rates below 0.4 Hz/pixel over a large threshold range as well as a time resolution of 6.5 ns after time-walk corrections, thus fulfilling allMu3e sensor requirements. Additionally, the radiation tolerance of the MUPIX7 has been demonstrated up to a fluence of 1.5 ·10+15 24 GeV p/cm2.
Interactive comment on “ Spatial pattern analysis of landslide using landscape metrics and logistic regression : a case study in Central Taiwan ” by Y .-P

1. This paper applied landscape metrics to analysis of the spatial distribution of landslides. The authors introduce terms such as edge density and shape index but do not explain what these terms mean in landslide research. For example, in the conclusions section, the authors state that “Although the overall patch [i.e., landslide] shapes in low-occurrence and sustained landslides are irregular, the edge boundary in new landslide[s] is large. ” What does the statement mean to landslide researchers? How does C1206
Degree, Toughness and Subgraph Conditions for Hamiltonian Properties of Graphs

We study graph theory. A graph is composed by a vertex set and an edge set, and each edge joins an unordered pair of (not necessarily distinct) vertices. A graph can represent any set of objects together with the existing relationships between pairs of these objects. This makes graphs very widely applicable as mathematical abstractions in a diversity of practical settings and a huge range of scientific areas. The Hamilton problem, which is the problem of determining whether an arbitrarily given graph admits a Hamilton cycle (a cycle containing all the vertices of the graph), is one of the most well-known NP-complete decision problems within graph theory and computational complexity. People have approached this problem from many different angles, but no one has come up with an easy criterium in terms of a necessary and sufficient condition yet. Most of the research work related to this Hamilton problem is centred around finding sufficient conditions for a graph to be hamiltonian, i.e., to admit a Hamilton cycle. The main part of this thesis deals with sufficient conditions that guarantee that a graph admits a Hamilton cycle. In the other parts, we focus on related sufficient conditions for graph properties that are stronger than the property of having a Hamilton cycle, and are commonly known as hamiltonian properties. One of the stronger hamiltonian properties we consider in this thesis is called hamiltonian-connectedness, and requires that every pair of distinct vertices of the graph is connected by a Hamilton path, i.e., a path passing through each vertex of the graph exactly once. Another stronger hamiltonian property called pancyclicity requires that the graph contains cycles of any length from 3 up to the number of vertices. The graph theoretical concepts of degree, subgraph and toughness are three commonly used concepts in studying conditions for hamiltonian properties. In this thesis, we give diverse sufficiency results in terms of these concepts by imposing certain restrictions on the degrees, subgraphs or toughness in order to guarantee the existence of certain cycles or paths. Some of our results improved the existing results, and some are new appearance in the research of graph theory.
Innovative concept of multifunctional heat exchanger/reactor by passive dynamic control using flexible vortex generators

The aim of this study is to investigate the use of fluid-structure interaction (FSI) to improve heat transfer and mixing performances in multi-functional heat exchangers/reactors, and to evaluate configuration designs where the main target is to produce and maintain self-sustained oscillations of flexible vortex generators. At first, two dimensional laminar flow studies are numerically investigated. The results show that a minimum of three alternating flaps is needed to produce an instability that leads to large displacement oscillations. However, the introduction of two co-planar flaps upstream destabilizes the flow by creating periodic forces that act on the alternating downstream flaps. Hence, this results in artificially increasing the reduced velocity that will induce the alternating flaps to be in a lock-in state. Thus in this case, large displacement amplitudes are created with two alternating flaps only. The free flaps oscillations produce vortices of higher strength which have a positive impact on heat transfer and mixing. Secondly, a three dimensional HEV configuration with flexible trapezoidal vortex generators inclined with an angle of 45◦ with respect to the wall and reversed opposite to the flow direction is numerically investigated. Fast Fourier Transformation is applied on the temporal variation of the Proper Orthogonal Decomposition (POD) coefficientswhich displays a dominant peak in the flow and corresponds to the vortices periodic formation and detachment. This dominant frequency synchronizes well with the structural oscillation frequency and the fundamental frequency of the tabs reaching a lock-in state and leading to large oscillation amplitudes.
Passenger-Driver Distinguishing Test for Pokémon Go

Distracted driving while gaming is a serious hazard especially for young drivers. Increasing popularity of augmented reality games may increase distracted driving incidents. The main purpose of this study is to test the feasibility of an identification test to differentiate between drivers and passengers to prevent drivers from playing augmented reality games while driving to reduce distracted driving incidents. We hypothesized that increased cognitive burden will reduce vigilance on the secondary task which will reduce attention and increase the risk associated with the secondary task. An experiment with a driving simulator tested university students’ performance to evaluate the efficacy of the distinguishing test. The results show that the test shows promise to distinguish between drivers and passengers. Such tests can be used in applications when users perform two tasks that require the same modality leading to decreased performance in both tasks.
Détermination de l'incidence de l'ajout d'un fluorophore à l'eau sur la dosimétrie Cherenkov en radiothérapie externe

iv Table des matières . v Liste des figures . viii Liste des tableaux . xi Liste des abréviations . xii Avant-propos . xv Introduction . 1 La radiothérapie externe . 1 Les appareils de traitement . 1 La dosimétrie en radiothérapie externe . 4 Caractéristiques d’un faisceau . 5 Principe du dosimètre . 9 Présentation et objectifs du projet . 11 1. La dosimétrie Cherenkov . 13 1.1 L’effet Cherenkov . 13 1.1.1. Origine du phénomène . 13 1.1.2. Angle d’émission . 16 1.1. 3. Spectre d’émission . 18 1.2. Mesure de la dose . 20 1.2.1. Techniques de mesures . 20 1.2.2. Erreur sur la mesure de dose volumétrique convertie en mesure 2D . 24 1.2. 3. Relation entre la dose et l’intensité . 25 1.2. 4. Facteurs de correction liés à l’angle d’émission de la radiation Cherenkov . 27 2. Les fluorophores . 29 2.1. Luminescence . 29 2.1.1. Définitions . 29 2.1.2. Les sources d’excitation . 29 2.2. Propriétés et caractéristiques des fluorophores . 30 2.2.1. Fluorophores organiques et inorganiques . 30 2.2.2. Spectre d’absorption et d’émission . 34
Optimal number of user antennas in a constrained pilot-length massive MIMO system

In this study, the authors analyse the performance of a massive multiple-input multiple-output network with N-antenna users. Equipping the user terminal (UT) with a multiple of antennas is usually challenging since it increases the overhead of the channel estimation process (linearly with N). In this study, the authors use semi-blind (data-aided) channel estimation that significantly reduces the pilot overhead and analytically obtains the optimal number of antennas that can be mounted at the UT. The proposed channel estimation algorithm is especially useful in cases where a UT can be assigned a single, or generally a few numbers of, pilot sequence(s) although it might have a number of antennas greater than the number of sequences (as the case of 5G proposed solutions); therefore the network does not have to assign more pilots to the user in order to estimate the additional antennas. The authors also characterise the user outage performance when a part of its data is used for the blind channel estimation.
Experimental investigations of turbulent decaying behaviors in the core-flow region of a propeller wake

This work investigates the turbulent decaying behaviors downstream of a propeller in the core-flow region. Both axial and tangential velocity fluctuations behind a two-bladed propeller were measured using a stationary hot-wire probe. Unexpectedly, the complex near-wake core-flow of the propeller is found to show a similar decay characteristic of homogeneous turbulence, such as grid turbulence. The decay of turbulence intensity is found to be dominated by the level of periodic velocity fluctuations, showing a similar behavior of the homogenous and isotropic turbulence. This turbulent decaying behavior of the core-flow can be adopted for future turbulent modeling techniques.
Spectroscopic Characterization of Silicon Wire‐Like and Porous Nanolayers in the Process of Metal‐Assisted Chemical Etching of Single‐Crystal Silicon

The preparation of single‐crystal silicon (c‐Si) nanowires and porous nanolayers using the two‐stage metal‐assisted chemical etching (MACE) process is studied. The structures are characterized in all stages of the process by spectroscopic ellipsometry and using the following two approaches: 1) with the complex pseudo‐dielectric function ε determined and analyzed and 2) with parameters of simulated multilayer structures determined in the effective medium approximation. With the structural parameters found from scanning electron microscopy (SEM) images taken into consideration, spectra of ψ and Δ are calculated and fitted to the experimental spectra to obtain the best convergence. The thicknesses and the fractions of the components (Si:Air) in the porous Si layers and Si nanowires fabricated in the study are determined. The two‐step MACE method, compared with the single‐step process, is more promising because of the ability to control the morphology of Si nanowires using a preset morphology of Ag nanoparticles (catalyst mask). The spectroscopic ellipsometry and SEM are nondestructive and informative methods of study that can be used to obtain samples with required parameters.
Exposing Inter-Virtual Machine Networking Traffic to External Applications

Virtualization is a powerful and fast growing technology that is widely accepted throughout the computing industry. The Department of Defense has moved its focus to virtualization and looks to take advantage of virtualized hardware, software, and networks. Virtual environments provide many benefits but create both administrative and security challenges. The challenge of monitoring virtual networks is having visibility of inter-virtual machine (VM) traffic that is passed within a single virtual host. This thesis attempts to gain visibility and evaluate performance of inter-VM traffic in a virtual environment. Separate virtual networks are produced using VMWare ESXi and Citrix XenServer platforms. The networks are comprised of three virtual hosts containing a Domain Controller VM, a Dynamic Host Configuration Protocol server VM, two management VMs, and four testing VMs. Configuration of virtual hosts, VMs, and networking components are identical on each network for a consistent comparison. Transmission Control Protocol (TCP) and User Datagram Protocl (UDP) traffic is generated to test each network using custom batch files, Powershell scripts, and Python code. Results show standard virtual networks require additional resources (e.g., local Intrusion Detection System) and more hands-on administration for real-time traffic visibility than a virtual network using a distributed switch. Traffic visibility within a standard network is limited to using a local packet capture program such as pktcap-uw, tcpdump, or windump. However, distributed networks offer advanced options, such as port mirroring and NetFlow, that deliver higher visibility but come at a higher latency for both TCP and UDP inter-VM traffic.
Tangible Interaction and Cultural Forms: Supporting Learning in Informal Environments

Designers who create computer-based learning experiences for places like museums, out-of-school programs, and homes face a number of challenges related to the informal nature of such settings. Designs must generally function on their own without the support of teachers or curriculum while at the same time engaging a diverse audience, supporting productive social interaction, and activating appropriate prior knowledge and skills. In this article, I present an approach to the design of informal learning experiences based on tangible interaction. The term tangible refers to a variety of human–computer interaction techniques that move beyond computer screens and create opportunities for people to interact with digital systems using their bodies and physical artifacts. I argue that tangible interaction creates unique opportunities for designers to shape objects and situations to evoke cultural forms of literacy, learning, and play. In particular, I propose a class of cultural forms called cueing forms that can invite participation into patterned social activity while cueing cognitive, physical, and emotional resources on the part of individuals. To illustrate these arguments, I describe 3 design cases that colleagues and I have created to support learning in museums and homes.
Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning

Noise attenuation plays an important role in seismic data processing. We propose a novel denoising method for seismic data based on unsupervised sparse feature learning. Our goal is to obtain the identifiable feature of the noisy seismic data and then to represent the effective signals. By preprocessing the raw data and training the autoencoder neural network with sparse constraint, the sparse feature of the seismic data can be learned and stored in the neural network. We use the adaptive moment estimation as a backpropagation algorithm to minimize the cost function with a sparse penalty term and combine the dropout technique in the training process to improve the feature extraction and generalization capability of the neural network. Then, the test data set can be reconstructed by the most important sparse features. The final denoising result can be obtained by rearranging the output test data set. Compared with three commonly used state-of-the-art denoising methods, the proposed method performs well in applications to denoising for synthetic and real seismic data.
DO HAND PREFERENCE HAS A TIE-UP WITH COGNITIVE ABILITY? A CROSS-SECTIONAL STUDY AMONG THE ADOLESCENT SCHOOL STUDENTS

Address for Correspondence: Dr. Susie Jeyalyn David, Assistant Professor, Department of Anatomy, Sree Mookambika Institute of Medical Sciences, Kulasekharam -629 161, Kanyakumari District, Tamilnadu, India. Ph: +91 9443622530. E-Mail: drsuslyn@gmail.com Introduction: Handedness is perhaps the most overt reflection of lateralization of the central nervous system in humans. Humans show a strong and population-level bias toward using one hand rather than the other for manual activities, which is unusual among mammals. As handedness is biologically and genetically linked, so it has various effects on one’s behaviour and abilities. Since intelligence has an impact on human behaviour, intelligence is considered an important aspect. Language is a system by communication. The meaning of anything is created by using symbols and our intelligence can be communicated to others by reading, speaking and writing. Researchers argue that right handers are more intelligent than the left handers and this is the reason behind changing the handedness of the children. This present study aims at finding the authencity of this opinion. Aim: We assessed the cerebral dominance and association between handedness and intelligence among school students. Method: Lateral preference inventory for handedness and Raven’s Standard Progressive Matrix Test for intelligence. Statistical method used: IBM statistics-20. The P-Values less than or equal to 0.05 (<0.05) were considered as statistically significant. Result: Statistical significance results were observed between left and right handers in terms of gender, age and educational standards. Conclusion: Left handed students were more intelligent than right handed students. Furthermore if more accessories are specially designed for left handers, they can achieve much more better.
A multi-agent approach to adaptive learning using a structured ontology classification system

Diagnostic assessment is an important part of human learning. Tutors in face-to-face classroom environment evaluate students’ prior knowledge before the start of a relatively new learning. In that perspective, this thesis investigates the development of an-agent based Pre-assessment System in the identification of knowledge gaps in students’ learning between a student’s desired concept and some prerequisites concepts. The aim is to test a student's prior skill before the start of the student’s higher and desired concept of learning. This thesis thus presents the use of Prometheus agent based software engineering methodology for the Pre-assessment System requirement specification and design. Knowledge representation using a description logic TBox and ABox for defining a domain of learning. As well as the formal modelling of classification rules using rule-based approach as a reasoning process for accurate categorisation of students’ skills and appropriate recommendation of learning materials. On implementation, an agent oriented programming language whose facts and rule structure are prolog-like was employed in the development of agents’ actions and behaviour. Evaluation results showed that students have skill gaps in their learning while they desire to study a higher-level concept at a given time.
DATA REORGANIZATION IN MEMORY: A DATA CENTRIC PERSPECTIVE

Emerging 3D memory packaging technology oﬀers new opportunities for computing near memory. We are investigating the potential beneﬁts obtained by incorporating variations on simple, familiar data movement hardware within the memory subsystem that can transform source data structure(s) from the physical organization stored in memory into alternative organizations better suited to the varying access patterns that may occur during application execution. In our model, memory and logic are combined in a single 3D package as exempliﬁed by the Hybrid Memory Cube. The proposed data structure reorganization logic assembles bytes of data within the 3D package so that only bytes that are needed by the application running on the main CPU leave the memory/logic package. Using a simulator built for this purpose, we present quantitative results of memory band-width savings on representative data centric benchmarks from image processing, graph analysis, and scientiﬁc simulation application domains. We ﬁnd that using data re-organization engines in these benchmarks can reduce the number of bytes moving between CPU and memory to as low as 20% of the conventional memory access bandwidth, while still performing the computation in the main CPU.