Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding the Posttranslational Regulation of the Response Regulator Rcsb and Acetyl Phosphate as an Acetyl Group Donor in E. Coli

xiv CHAPTER ONE: INTRODUCTION Introduction 1 Acetylation 2 The Chemical Reaction 2 Nα-Acetylation 3 Nε -Lysine Acetylation 6 The Discovery and Impact of Nε-Lysine Acetylation in Bacteria 8 Acetyltransferases 15 Lysine Deacetylases 18 E. coli metabolism 25 Glucose Metabolism and the Effects on Coenzyme A Pools 25 The Pta-AckA Pathway and Acetyl Phosphate 29 Function and Regulation of Acetyl Coenzyme A Synthetase 32 Two-component Signal Tranduction in Bacteria 34 The Rcs Phosphorelay: A complex TCS 40 CHAPTER TWO: METHODS AND MATERIALS Bacterial strains, bacteriophage, plasmids, and primers. 45 Culture conditions. 45 Generalized P1 transduction. 46 Plasmid construction. 47 Site Directed Mutagenesis. 49 Transformation. 49 Promoter activity assays. 52 Hydroxylamine assay to measure AcP. 53 Nile Red. 54 LTQ-Orbitrap Velos-LC-MS/MS Spectrometry and Protein Identification. 54 Dynamic light scattering. 56 vii In vitro acetylation. 57 In vitro phosphorylation. 59 Detection of phosphorylated RcsB. 59 Western immunoblot analysis. 60 Motility assays. 61 CHAPTER THREE: RESULTS Analysis of the RcsB-regulated osmC promoter 65 Introduction 65 Promoter screen for putative regulation by acetylation 65 Determining whether phase of growth affects the response to glucose 69 Analysis of the AcCoA:CoA ratio in glucose-induced PosmC and PrprA activities 72 Determining the roles of RcsC and RcsB in glucose-induced osmC transcription 75 Analysis of αCTD lysines in the regulation of glucose-induced osmC transcription 77 The effect of the CobB and YfiQ on glucose-induced PosmC activity 80 Analyzing the role of Acs in glucose-induced osmC transcription 84 Summary 88 The Effect of Acetylation on RcsB-dependent rprA Transcription in E. coli 89 Introduction 89 The role of D56 and RcsC in RcsB-dependent rprA transcription 90 In vitro phosphorylation of RcsB by acetyl phosphate 97 The effect of acetyl phosphate on PrprA activity 98 The effect of the deacetylase CobB on PrprA activity 99 Determining if acetylated RcsB exists in vivo 100 Determining if CobB affects RcsB acetylation in vivo. 113 Determining if AckA impacts RcsB acetylation in vivo 114 Genetic analysis into the function of acetylated RcsB lysines in rprA transcription 116 The effect of acetylation on phosphorylated RcsB 117 Summary 118 Biochemical and Functional Analysis of YfiQ on RcsB and rprA transcription 125 Introduction 125 In vitro acetylation of RcsB with YfiQ and AcCoA 125 In vitro analysis of YfiQ and the effect of incubation with AcCoA 127 In vitro analysis of RcsB and the effect of incubation with AcCoA 127 Additional acetylated proteins 136 Testing the effect of the lysine acetyltransferase YfiQ on PrprA activity 136 Analysis of RcsB acetylation in the yfiQ null mutant 137 Summary 139 The effect of the spermidine acetyltransferase SpeG on rprA regulation 140 vii
Integration of Gem5 And Dramsim2 For DDR4 Simulation

Simulators have drawbacks due to the total time taken for the simulation. Therefore, two simulators should be integrated to produce a robust simulator to overcome this hurdle. The main aim of this research which is to integrate two open-source simulators to study the simulation of DDR4 is achieved. GEM5 and DRAMSim2 are integrated for DDR4 simulation using ISA x86. DRAM Controller codes and codes to access the bank or bank groups in DDR4 are modified for DDR4. The parameters of DDR4 – 24000 passed into the simulation. Based on the simulation results, GEM5 DRAMSim2 has verified its correctness and legal to be used for DDR4 simulations. The modified DRAM Controller codes for DDR4 from DDR3 is proven working when 100% pass. GEM5 DRAMSim2 is 99.2% faster than previous work done with GEM5 – NVMain. Moreover, GEM5 DRAMSim2 used only 23% power from the overall power to perform ACT/PRE activities during the execution of 20 000 instructions. Furthermore, simulation of DDR4 using GEM5 DRAMSim2 used 40% less background power compared to previous GEM5 – NVMain work. The performance of DDR4 using GEM5 DRAMSim2 is fast because the correlation between the average bandwidth and average latency is 0.9975. This research proved that the integrated GEM5 DRAMSim2 is an effective and efficient simulator for DRAM simulations.
Le Profil des AVQ adapté au rôle de parent : Une étude exploratoire

Description. Devenir parent implique plusieurs défis quotidiens, particulièrement pour les parents ayant des incapacités physiques et cognitives. Néanmoins, aucun outil d’évaluation n’existe pour soutenir les ergothérapeutes dans l’évaluation de l’indépendance à prendre soin d’un bébé. But. Cette étude visait à (a) développer des activités spécifiques à l’évaluation des habiletés parentales auprès de bébés à l’intérieur du Profil des AVQ et (b) réaliser une étude pilote pour explorer les besoins des parents avec incapacités. Méthodologie. Les activités ont été sélectionnées par une approche participative avec des ergothérapeutes experts (n = 3) et l’évaluation a été expérimentée auprès de parents (n = 4) avec incapacités physiques et cognitives. Résultats. Six activités parentales ont été développées et celles-ci ont permis de conclure sur l'indépendance d’un parent à prendre soin de son bébé. Conséquences. Par l’ajout d’activités parentales, le Profil des AVQ a le potentiel d’outiller les ergothérapeutes dans leurs recommandations reliées au rôle de parent.
Data dissemination for Internet of vehicle based on 5G communications: A survey

With the increase of the number of connected vehicles on roads, the data dissemination within traditional network suffers from many limitations like high latency, a significant amount of dropped packets and network congestion. Therefore, the Internet of vehicles (IoV) has been designed as an emerging paradigm that combines the intelligent transportation system (ITS) with Internet of Things (IoT) technology. IoV allows vehicles to exchange data with its surroundings in order to enhance the traffic safety and to provide digital services to road users. In this paper, a taxonomy of data dissemination protocols proposed for IoV is surveyed according to three main categories namely, the smart control‐based category, social networks‐based category, and traditional approaches. We also review the data dissemination in IoV based on the fifth generation (5G) communications with emphasis on enabling technologies, architectures, services, and challenges. Moreover, we suggest in this study a new generic 5G‐based IoV architecture named IoVs based on fifth generation communications to enhance data dissemination by the promising and efficient transmission technologies such as fifth‐generation network properties, software‐defined network functionalities (SDN), and cloud‐fog computing services. The proposed scheme helps to meet challenges in the low latency, high reliability and security, high performance, mobility contrary to conventional architectures.
Power Efficient Localization schema for Wireless Sensor Network

This paper examines localization error will be minimal after adjusting the radio range of beacons’ and error performance tradeoffs. Anchor based-range-free schema for Wireless Sensor Network. Localization algorithms are different in different network environments. My work is to find out an efficient localization algorithm for wireless sensor network. The idea is to use anchor nodes for localization. Anchor nodes are special nodes that know their physical location. Anchor nodes are connected to GPS to find out their location. Wireless sensor nodes that do not know their location are known as unknown nodes. Unknown nodes communicate with anchor nodes. Anchor nodes use beacons and broadcast it within the range and make the proximity. The beacons have the information of anchor node as follows:
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model organism used for studying neurological disorders, drug addiction, and more. Behavioral analysis is often a critical part of such research. However, visual similarity, occlusion, and erratic movement of the zebrafish makes robust 3D tracking a challenging and unsolved problem. The proposed dataset consists of eight sequences with a duration between 15-120 seconds and 1-10 free moving zebrafish. The videos have been annotated with a total of 86,400 points and bounding boxes. Furthermore, we present a complexity score and a novel open-source modular baseline system for 3D tracking of zebrafish. The performance of the system is measured with respect to two detectors: a naive approach and a Faster R-CNN based fish head detector. The system reaches a MOTA of up to 77.6%. Links to the code and dataset is available at the project page http://vap.aau. dk/3d-zef
Role of Tie2, CD14, Angiopoietin as Angiogenetic Markers in Hepatocellular Carcinoma Complicating Hepatitis C Virus Infection

Background Identifying biomarkers for early detection of hepatocellular carcinoma (HCC) remains quite challenging. In this study we aimed to estimate the number of TIE2-expressing monocytes (TEMs) cells, which display pro-tumoral activities and are defined as CD14+, TIE2+, and angiopoietin-2; and its potential use as a possible diagnostic marker in HCC patients complicating HCV induced cirrhosis. Methods Current study was conducted on 112 patients. They were divided into two groups: Group I (78 patients) with HCC complicating HCV induced cirrhosis; and group II chronic hepatitis C patients (34 patients). Both groups were compared to (age and sex-matched) healthy persons as group III (38 persons). Result The number of the circulating TEMs: CD14+ and TIE2+ monocytes were significantly higher in the peripheral blood of HCC patients than HCV LC patients and healthy controls, sensitivity and specificity for HCC diagnosis were respectively: CD14 (89.7%, 83.3%), TIE 2 (76.9%, 83.3%), and Ang-2 (76.9%, 66.7%). Moreover, analysis of the P-value and the odd’s ratio showed that CD14 has the highest predictive value for HCC. Conclusion Our results suggest that TEMs and Ang-2can be used as diagnostic markers for HCC, especially among the high-risk group of patients.
Interference Management and Duplex Mode Selection in In-Band Full Duplex D2D Communications: A Stochastic Geometry Approach

In this article, we present a new approach for managing the interference on cellular users through optimum mode selection between half-duplex (HD) and in-band full-duplex (IBFD) in such a way that device-to-device (D2D) throughput is maximized, while the quality of service (QoS) of the cellular users is guaranteed in terms of delay. To present a comprehensive view and analyse of the proposed approach in a large network, we use Poisson point process that enables us to model a large network with random parameters in such a way that is highly compatible with reality. Also, to model the cellular users’ delay, we use the queuing theory and Markov processes. Unlike other related works, the mode selection between HD and IBFD is considered as a decision variable and its optimal value is obtained. The results show that in comparison with the related works, our proposed approach leads to improvements in the D2D throughput, while through proper interference management, the impact on the cellular users’ throughput is negligible. Moreover, the QoS of the cellular users is guaranteed by keeping the delay below a certain threshold.
A New Embedded Feature Selection Method using IBALO mixed with MRMR criteria

In order to remove irrelevant data and increase classification accuracy in feature selection, this paper proposed a new Embedded feature selection method with gathering Minimal Redundancy Maximal Relevance (MRMR) criteria, Sequential Forward Selection (SFS) and Improved Binary Ant Lion Optimizer (IBALO) together. Totally, we use three different feature selection methods namely MRMR mixed with Sequential Forward Selection (MS), MS mixed with Binary Ant Lion Optimizer (MS-BALO), an improvement of MS-BALO. Experiments prove that the MS-IBALO method proposed by this paper is efficient compared to MS and MS-BALO methods.
Logical Interface Support for multi-mode IP Hosts

A Logical Interface is a software semantic internal to the host operating system. This semantic is available in all popular operating systems and is used in various protocol implementations. The Logical Interface support is desirable on the mobile node operating in a Proxy Mobile IPv6 domain, for leveraging various network-based mobility management features such as inter-technology handoffs, multihoming and flow mobility support. This document explains the operational details of Logical Interface construct and the specifics on how the link-layer implementations hide the physical interfaces from the IP stack and from the network nodes. Furthermore, this document identifies the applicability of this approach to various link-layer technologies and analyses the issues around it when used in context with various mobility management features.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI TENAGA KERJA UNTUK SECURITY SERVICE MENGGUNAKAN METODE ARAS

PT. ISS INDONESIA is a company that already has employees, which is very big. With seven branches spread across Indonesia, PT. ISS INDONESIA has more than 500 workers. Recruitment will continue as the opening of supermarkets or PT. ISS INDONESIA requires additional employees to develop or fill in empty formations. Subjects in this study are the application of decision support systems used to assist employee selection process in accordance with the criteria set by the management PT. ISS INDONESIA. System design with modified waterfall process model includes the definition of requirements required by the user in order to design the system for process modeling, data modeling, and user interface. In this research, it is expected to produce Decision Support Candidate Selection Software System With ARAS Method that can be used to manage employee candidate data and computerized criteria ranging from weighting, calculation of dominance value, arithmetic preference, calculation of index value and ARAS calculation.
Early life exposure to lead, iron metabolism gene variants, and impacts on reproductive and infant outcomes

Introduction: Premature birth is a significant public health problem worldwide. Research on the role of population-level exposure to toxicants, including lead exposure, in the complex etiology of this adverse birth outcome has yielded inconsistent results. We assessed the effect of prenatal lead exposure on gestational age and risk of premature delivery using trimester-specific maternal blood and plasma lead levels as biomarkers of fetal exposure. Methods: Whole blood and plasma were collected from 243 pregnant women recruited in Mexico City from 1997-1999 using strict procedures to prevent contamination and hemolysis of the samples and were analyzed for lead content by inductively coupled plasma high-resolution mass spectrometer (ICP-MS.) Data were analyzed using multiple linear and logistic regression to examine the associations of trimester-specific lead exposure, gestational age, and risk of premature delivery adjusting for infant sex, maternal age, maternal education, history of prior adverse birth outcome, cigarette smoking during pregnancy, and parity.
Cross Reality Spaces in Engineering Education - Online Laboratories for Supporting International Student Collaboration in Merging Realities

This paper discusses online laboratories as cross reality spaces in education. Cross Reality (also XR) as a term is borrowed from the field of gaming and broadly describes the integration of immersive, augmented, mixed, and virtual reality technology within physical reality. Online laboratories form an ideal example, as different realities (the real hands-on world in real labs, the virtual world in simulated labs or even a mixture of both in context with remote labs) are merged. The connection between different realities in laboratory education and their relation to engineering education contexts are discussed by describing a three-dimensional matrix for categorizing (online) laboratories in teaching and displaying current research results in this area. On basis of this, a scholarly research study is discussed, which is making use of a remote lab in mechanical engineering education for an international student body. In this study, the lab and its application are evaluated from the learner, the system, and the course perspective. These three perspectives offer a holistic view of the lab and the students’ learning. The study proofs a positive effect on the students learning experiences. The results also show which current needs and future potentials lie on the intersection of engineering education, internationalization, and digitalization in terms of collaborating and learning in Cross Reality Spaces.
A Framework for Utilizing Group Support Systems in Scenario Process

— In modern day business, managing environmental change has become a vital part of building success. Changes in technology or business conditions can have a drastic effect on the business in the long run. One of the more potent tools proposed to avert this problem is scenario planning. It has been noticed in multiple occasions that traditional forecasting is vulnerable to sudden changes; scenario planning aims to work around the problems of forecasting by mapping the possibilities of the future with a wider perspective. The purpose of this study is to test whether the scenario process can be facilitated with a group support system (GSS) and whether it presents positive gains to the scenario process. According to the two case studies processed in this paper, it seems that GSS indeed holds potential for facilitating the scenario process. On average, people participating in GSS supported sessions have found that GSS enhances group work in the scenario process and that the concept of creating satisfactory scenario with GSS support is feasible.
Computer vision-based techniques and path planning strategy in a slope monitoring system using unmanned aerial vehicle

Unmanned aerial vehicle is a typical field robot which can work in many unstructured environments like mines, forests, and even radiation areas. In our mine monitoring system built in a northeast province of China, special designed unmanned aerial vehicle is applied to take photos and perceive the environment. We select a series of image-based techniques to process aerial pictures to monitor the slope. The visual features are initially refined by histogram equalization. Then, the rocks and cracks can be detected by different digital image processing operators, like Canny, so as to assess displacements. Advanced semantic segmentation model, U-Net, is also selected to process the problem. Experimental results show that both Canny and U-Net can perceive the edges in pictures effectively, better than other operators. In addition, we model the inspection mission for mine slopes into a traveling salesman problem, then plan the path for unmanned aerial vehicle by swarm intelligence-based optimization.
Characterization of the biochemical and lipid profiles of white lupine (Lupinus albus) grain and its derivatives

Lupine is a legume with the high contents of protein and lipids unsaturated, vitamins, minerals and dietary fiber and thus its nutritional quality has properties beneficial to health. The aims of this study were to produce flours from white lupine grain using different thermal treatments, to chemically characterize them and to compare them to those of raw and pickled lupine grains, as well as to determine their chemical compositions, lipid profiles and contents of anti-nutritional factors. To preparation of lupine flours the heat treatment was applied at 100 °C for 60 min and 150 oC per 30 min in an oven with circulating air. The moisture, protein, lipid, mineral and dietary-fiber contents of the four lupine products tested were determined. The trypsin-inhibitory activity levels were determined using casein as the substrate. The fatty acid composition were determined by gas chromatography. The results show us the samples had high levels of protein, unsaturated fatty acids, and dietary fiber. Heat treatment did not affect the nutrient content of the grain. However, pickled lupine grains had lower levels of nutrients and minerals and a higher sodium level than those of the other lupine products examined, compromising the nutritional quality of the grain. The analyses conducted in the present study indicate that Lupinus albus grains currently contain alkaloids but due its high nutritional value it is possible to incorporate this legume into the human diet.
Large-scale in vitro propagation of giant reed (Arundo donax L.), a promising biomass species

Summary Giant reed (Arundo donax L.), a promising energy crop, is vegetatively-propagated from fragments of stems and rhizomes. This may limit large-scale cultivation, since it is time-consuming and involves considerable cost and effort. Tissue culture is an alternative to conventional methods of vegetative propagation and may represent a useful tool for large-scale propagation of plants for biomass production programmes. This report describes a protocol for the large-scale in vitro propagation of giant reed by adventitious bud formation. Stem nodes with dormant buds proved to be the most effective to initiate in vitro cultures giving the highest percentage of differentiated shoots (77%) compared to the other plant fractions tested. A sterilisation procedure using 5 g l–1 HgCl2 enabled the production of sterile explants. Moreover, early results indicated that late Autumn excision dates not only gave a higher percentage of well-developed shoots ( > 80%), but also a lower level of bacterial contamination (15 – 20%). 6-Benzylaminopurine (BAP) at 3.0 mg l–1 was most effective in promoting shoot multiplication when added to a basal medium containing Murashige and Skoog (MS) macro- and micro-nutrients, Morel’s vitamins, 30 g l–1 sucrose, and 7.0 g l–1 bacteriological agar supplemented with 1.0 mg l–1 indole-3-acetic acid (IAA) and 0.05 mg l–1 gibberellic acid (GA3). Rooting was successfully induced on the same basal medium used for proliferation, modified by halving the MS macro-nutrients and replacing BAP and the other growth regulators with 2.0 mg l–1 1-naphthaleneacetic acid (NAA). Successful acclimatisation (> 95% survival) of plantlets was carried out, even in late Winter, in a cold greenhouse or under simpler facilities such as shade nets.
The State-Space Model for the Double Heston Model written on two underlying assets

In this study, we look at the derivation of the state space model that is applied in non-linear filtering methods. The state-space model is for the double Heston Model written on two underlying assets. The non-linear filtering methods include unscented Kalman filter, extended Kalman filter and particle filter. This study extends work of Namundjebo (2016) who looked at the application of non-linear filtering methods to the Double Heston Model. We extend this work to the derivation of the state space model of the Double Heston Model with two underlying assets. The two underlying assets are assumed to be uncorrelated. Keywords: non-linear filtering, unscented Kalman filter, extended Kalman filter, Kalman filter, particle filter, state-space model.