Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of genetic diversity of Avicenniaceae family in Indian sundarban by using RAPD and ISSR markers

The present investigation was undertaken to describe the relationships among species of Avicenniaceae family which have both economic and medicinal activities, collected in Indian Sundarban by the help of RAPD and ISSR markers. In this study, three different species of Avicennia genus were collected. Frozen young leaves (-200C) were taken to isolate the genomic DNA using a slightly modified CTAB method. For this experiment, a set of 10 RAPD and 10 ISSR markers were used to analyse the genetic diversity. The study showed that ISSR markers were more efficient than RAPD markers for polymorphism detection, polymorphic bands content per primer and total no of loci detection per primer as they were 75.53%, 11.9 and 15.6, for ISSR and 69.04%, 9.6 and 13.7 for RAPD, respectively. However, the observed no of alleles, effective no of alleles, Nei’s (1973) gene diversity and Shannon’s information index (I) were higher for RAPD (1.6087, 1.6087, 0.3043 and 0.4219, respectively) than for ISSR (1.5357, 1.4356, 0.2345 and 0.3357, respectively). However, no such reports on genetic diversity using ISSR markers were available in the genus Avicennia. The results of this study can be seen as a starting point for future researches aimed to develop phylogenetic tree using more samples and more molecular markers.
Public Education for the Children Left Behind

This paper examines the role of public education in the context of parental migration, and it studies the effects of an expansive income tax policy that is adopted to increase public education expenditure per pupil. It is shown that such a policy may exacerbate income inequality in the long run if for the less skilled dynasties, the benefits of more public spending on education does not make up for the negative effects of increased parental absences. However, if the migration-induced tax base erosion is not severe, an expansive income tax policy indeed enhances future human capital for all dynasties, and moreover, it may help the less skilled households escape from the poverty trap, thus reducing long-run inequality.
Investigation of Nepotism in Public Sector Organizations in Iran and its Impact on Employee's Performance

Due to dominant culture in the countries in transition, one of the issues to be investigated in these countries is the phenomenon of nepotism in the organizations which, as an environmental factor, could affect the employees’ performance. This study attempts to examine the functions of nepotism in Iranian public sector organizations and evaluate its impact on employees' performance. Research methodology of this study is descriptive- survey. Thus, after an overview on theoretical bases and for the aim of collecting the required data, 150 questionnaires were distributed among administrative employees of Zahedan Municipality. Our findings showed that nepotism is a challenging issue that affects the performance of employees in the administrative systems of Iranian public sector. It was also found that nepotism, as an environmental factor, has made the performance of organization to be consistent with it, through overcoming intra-organizational factors.
Exploring Adaptive Cache for Reconfigurable VLIW Processor

In this paper, we focus on a very long instruction word (VLIW) processor design that “shares” its cache blocks when switching to different performance modes to alleviate the aforementioned cold starts. The switching trigger cache resizing operations and improper use can lead to less efficient cache performance. We clearly note here that our investigation pertains the local temporal effects of the cache resizing and how we counteract the negative impact of cache misses in such resizing instances. We propose a novel reconfigurable d-cache framework that can dynamically adapt its least recently used (LRU) replacement policy without much hardware overhead. We demonstrate that using our adaptive d-cache, it ensures a smooth cache performance from one cache size to the other. This approach is orthogonal to future research in cache resizing for such architectures that take into account energy consumption and performance of the overall application. Our results show that when compared with a straightforward cache resizing approach, we can achieve a reduction of 10%–63% of cache misses during the switching period. Furthermore, we can also increase the average cache hit rate from 56% to 90% in the cache part that remains live after downsizing using our approach.
Damage Identification by the Kullback-Leibler Divergence and Hybrid Damage Index

The hybrid damage index (HDI) is presented as a mean for the damage identification in this paper, which is on the basis of the Kullback-Leibler divergence (KLD) and its approximations. The proposed method is suitable for detecting damage in one-dimensional structure and delamination in laminated composite. The first step of analysis includes obtaining the mode data of the structure before and after the damage, and then the KLD and its approximations are obtained. In addition, the HDI is obtained on the basis of the KLD and its approximations, utilizing the natural frequencies and mode shape at the same time. Furthermore, the modal strain energy (MSE) method is employed to verify the efficiency of the proposed method. Finally, to demonstrate the capability of the proposed method, examples of the beam and laminated composite are applied for checking the present approaches numerically, and the final results validate the effective and accurate performance of the present technique.
Fast and Robust Diffusion Kurtosis Parametric Mapping Using a Three-Dimensional Convolutional Neural Network

Diffusion kurtosis imaging (DKI) is an advanced diffusion imaging method that captures complex brain microstructural properties; however, it often has a lengthy acquisition time compared to conventional diffusion tensor imaging (DTI). Recently, a deep learning-based method has shown the potential for reducing the number of diffusion-weighted images (DWIs) required to compute the rotationally invariant scalar measures to twelve. In this study, we propose a three-dimensional (3D) convolutional neural network (CNN) to estimate the scalar measures. This network further improves the performance of the deep learning-based method with a largely reduced number of required DWIs. In our approach, all the DTI and DKI measures were estimated using a single network, and a hierarchical structure was introduced to customize the outputs based on their computational complexities and to learn the commonalities of the measures. Moreover, ${3} \times {3} \times {3}$ convolution kernels were introduced to extract features from the 3D input patches and utilize the spatial context from adjacent neighborhoods, which also strengthened the network’s robustness against noise. The proposed method was evaluated with two datasets. The results showed that, compared with the previous method that used an artificial neural network, our proposed hierarchical CNN provided enhanced efficiency for estimating all eight diffusion measures. It also improved the robustness against noise and retained the fine structures with only a few DWIs (as few as eight). This result suggests that it is possible to achieve kurtosis mapping in most clinical scanners within one minute, which could significantly extend the clinical utility of the DKI.
Design and Fabrication of Schiffman Phase Shifter for Ku-band Applications

This paper presents the design for Schiffman phase shifter and design equations for Ku-band applications are presented. The S-parameter of the proposed structure is calculated and verified by a fullwave simulation software, ADS. The results show that this structure has over 6 GHz bandwidth and good matching in Ku-band and it is a good candidate for using in phased array structure at the band of 12 to 18 GHz.
Development of an Auto Focusing Stacker for Photomicrography of Marine Microorganisms

Most marine microorganisms and fossils have transparent outer shells, low contrast, and three-dimensional stereo configurations. Their delicate external morphology and fine structures provide an identification reference for taxonomic classification. However, because of the limitation of low focal depth at high magnification, presenting a refined image and contour of a specimen in a single image is impossible. This study describes the development of an autonomous focus stacking device dedicated to photomicrography of marine microorganisms and fossils. The customized device is equipped with a motorized fine-focusing mechanism, a control software interface, stacking software, and a digital single-lens reflex camera mounted on a stereomicroscope. Practical use of the device has resulted in greatly reduced operating time and error in the acquisition of photomicrographic images. Additionally, the depth of field of the photographs significantly improved without sacrificing image resolution. The use of an autonomous focus stacker extends photomicrography applications to digitization and observation of marine microorganisms and microfossils.
Design and Experiment of Filtering Power Divider Based on Shielded HMSIW/QMSIW Technology for 5G Wireless Applications

In this paper, a new class of shielded half-mode substrate integrated waveguide (SD-HMSIW) and shielded quarter-mode substrate integrated waveguide (SD-QMSIW) filtering power dividers (FPDs) have been presented. The proposed prototypes are capable of splitting/combining power and selecting frequency simultaneously. The SD-HMSIW and SD-QMSIW resonant cavities combine the features of compact size, high-quality factor, and low loss. To the best of author’s knowledge, it is the first time employing the shielded SIW structure for FPD designs. The six prototype circuits with pure or hybrid SD-HMSIW/SD-QMSIW resonators are designed and fabricated to validate the proposed concept. Multilayered structures are implemented to minimize the dimensions of the FPDs further. Transmission zeros distributing near the operating passband are introduced by cross-coupling mechanism. Both measured and simulated results indicate that the proposed FPDs with the shielded SIW structures exhibit not only filtering performance, but also the good magnitude and phase imbalance characteristics in the operating frequency band.
THE VIRTUAL PRINT EXHIBITION: A CASE OF LEARNING BY DESIGNING

This paper describes work that has been in progress on the use of information and communications technology in the transformation of teaching and learning in several subjects in the School of Fine Arts, Classical Studies and Archaeology at the University of Melbourne, Australia. Its specific focus is on the "Virtual Print Room" project. This project involves the development of a rich database of high quality digitised images of a large number of prints (from the Baillieu Library's Old Master Prints Collection) comprising the works of famous artists such as Durer, Marcantonio, Raimondi, Rembrandt and Hogarth. Most importantly, this database enables the study of fragile prints outside the "white-gloved" controlled environment of the conventional print room. One such novel form (which is described in this paper) is learning by designing a "Virtual Print Exhibition". Students involved in this subject create a virtual exhibition from the database of prints and experience at first hand, how to construct an art historical argument in the form of an exhibition. As part of this presentation, we will demonstrate the online learning environment that supports this group-based learning activity.
Morphological and karyotype diversity in populations of four Silene species (caryophyllaceae)

Karyotype and morphometric studies were performed on 14 and 24 Iranian popula- tions of 4 Silene (Caryophyllaceae, Sect. Auriculatae) species. Phenetic study of 24 populations of S. commelinifolia, S. eremicana, S. lucida and S. nurensis from different locations of Iran revealed that a lot of morphological characters as basal and caulinal leaf shape, width and length, capsule shape and condition in calyx, epipetalus stamens to alternate ones, alar pedicel length, lateral pedicel length, epipetalus filament length to claw length and calyx gap length are of taxonomic importance. S. nurensis possessed a chromosome number 2n=2x=24, S. lucida and S. eremicana possessed a chromosome number 2n=4x=48, while S. commelinifolia var. commelinifolia and S. commelinifolia var. ovatifolia populations were diploid and tetraploid. The chromosomes were mainly metacentric or sub-metacentric and their size varied from 1.21 μm in S. nurensis to 3.96 μm in S. commelinifolia. The total size of the chromosomes differed significantly in short and long arm size, indicating the role of quantitative genomic changes in the Silene species diver- sification. The Silene species were placed in 1A and 1B classes of Stebbins karyotype symmetry. Presence of B chromosome is recorded for the first time for S. commelinifolia. Clustering and ordination methods showed karyotype distinctness in the investigated species.
A Boost Converter for Energy Harvesting Utilizing MEMS Switch

Internet of Things (IoT) has experienced a significant growth in recent years. Billions of battery-powered wireless sensors are expected to be employed by 2020 as the (IoT) becomes an integral part of our daily lives. It is clear that battery replacement for such a significant number of sensors will soon become a formidable challenge. Ambient energy resources can be utilized to either prolong the lifetime of batteries or replace them with other elements such as supercapacitors. Light as an abundant source of energy in both indoor and outdoor environments is a natural choice for energy harvesting to power up wireless sensors. In this work, a new energy harvester using MEMS switches is presented in which a photovoltaic cell is used to extract the ambient light energy. The use of MEMS switches instead of conventional transistor-based switches reduces the leakage current and improves the overall efficiency. Simulation results indicate that the use of MEMS switches increases the efficiency of the energy harvester by 17%.
Subdivisions in a bipartite graph C

Given a bipartite graph G with m and n vertices, respectively, in its vertices classes, and given two integers s, t such that 2 ≤ s ≤ t, 0 ≤ m−s ≤ n−t, and m+n ≤ 2s+t−1, we prove that if G has at least mn− (2(m− s) + n− t) edges then it contains a subdivision of the complete bipartite K(s,t) with s vertices in the m-class and t vertices in the n-class. Furthermore, we characterize the corresponding extremal bipartite graphs with mn − (2(m − s) + n − t + 1) edges for this topological Turan type problem.
Solving nonlinear optimization problem using new closed loop method for optimal path tracking

The purpose of this paper is to investigate the ability of the manipulator in point-to-point motion and determine its dynamic loading capacity using an optimal control method for controlling the new closed loop. The proposed method for designing an optimal nonlinear controller in a closed loop shape, in contrast to the usual methods based on indirect methods, is a combination of direct and indirect methods. The law of control is based on the solution of the nonlinear Hamilton-Jacobi-Bellman equation (HJB). For complex dynamics, this equation is solved using the Galerkin method and a nonlinear optimization algorithm. Another goal is to determine the dynamic loading capacity using this controller. The simulation results indicate the efficiency of the method in tracking the preset path from the manipulator, as well as determining the load capacity of the dynamic.Industrial robots are now widely used in various fields. So their production is increasing rapidly. Manipulator are a type of industrial robot that attracts the attention of many engineers of control and mechanics. Also, in this article, the 3Rrobot and 6R robot have been investigated.
13.95GHz–15.03GHz LC VCO using triple-coupling

This paper presents a voltage controlled oscillator (VCO) with triple-coupling LC tank. The proposed circuit has been designed in TSMC 0. 18µm CMOS technology with a power supply of 1.6 V. The VCO achieves an oscillation frequency range from 13.95 to 15.03 GHz while the power consumption is 7.26 mW. The simulated VCO demonstrates a phase noise of −114.5 dBc/Hz at 1 MHz offset from 14.49 GHz carrier and figure of merit of −189.65 dBc/Hz.
Survey on the Incorporation of NDN/CCN in IoT

Named data networking (NDN) has emerged as a component of the Future Internet architecture to support scalable content distribution, mobility, security, and trust; as well as to provide access to information irrespective of its physical location. The NDN, and previously content-centric networking (CCN), has been considered as the enabler to address various Internet of Things (IoT) challenges, with the potential to outperform the current IP paradigm in many dimensions. The requirements and challenges of the IoT, imposed by constraints, such as limited memory and computational power, while requiring high energy efficiency in the face of unstable network connectivity, impose extra burdens on the IP paradigm. The named content, in-network caching and named-based routing approach in the CCN and NDN provide promising solutions to overcome these constraints and showcase alternative implementations. This paper aims to investigate and demonstrate the current incorporation of the NDN/CCN with the IoT in terms of in-network caching management, naming scheme for devices and data, access control and policies, forwarding strategies, device configuration, and discovery.
Ducto-lobular carcinoma in situ: Clinical and pathological findings in three cases with review of literature

In situ carcinomas of the breast are traditionally divided into ductal and lobular based on a combination of morphological features. Ductal carcinoma in situ (DCIS) is further differentiated from lobular carcinoma in situ (LCIS) by the presence of membranous E-cadherin protein expression. The expression of this protein is lacking in the neoplastic cells of LCIS due to underlying molecular alterations in the E-cadherin gene (CDH1) but present in cases of DCIS. Pathologists frequently employ the use of E-cadherin immunohistochemistry as an ancillary aid to distinguish DCIS from LCIS in morphologically ambiguous cases. In a small minority of in situ carcinomas a dual population of neoplastic cells is present within the same terminal duct lobular unit with morphological and/or immunohistochmeical evidence of both ductal and lobular histology, an entity we and others refer to as ducto-lobular carcinoma in situ (DLCIS). Herein we describe three such cases in detail to include morphological features, E-cadherin immunohistochemical staining pattern, clinical history, management and follow-up. In addition a comprehensive review of the literature of such cases is summarised and an algorithmic approach to their future diagnosis proposed.
Mapping Parallel Applications with the Approach of Reducing Communication Overhead in Cloud Computing

Implementation of parallel programs, divided into some tasks, and selection of proper resource among the available resources to execute these tasks are expressed as an important issue. This research aimed to evaluate a mapping method of tasks to resources, which are distributed in the cloud-computing environment. In addition, the tasks are categorized and their mapping is performed on the most suitable resource in terms of calculation and communication costs with regard to the communications between the tasks. The proposed method is compared to two Min-Min-C and Max-Min-C algorithms. Results of the performed scenarios indicate the reduction in the time required for mapping.
Techno-economic analysis of a standalone solar PV with groundwater pumped-hydro-storage system

South Africa is highly relying on the agricultural sector for market strengthening. Most farms are located in remote areas. This makes it difficult for farmers to receive quality water and reliable power supply. Supplying water through municipal pipelines is a reliable option. However, it comes with techno-economic challenges such as distance and the nature of the terrain. Therefore, pumping ground water has been a preferred option for farmers. This is due to the ease of water access when needed and can be pumped near the point of use. This paper determines the optimal size of the proposed standalone solar Photovoltaic (PV) with underground pumped-hydro storage (UPHS) system, supplying a typical farming load demand through open wells (boreholes). The hybrid optimization model for electric renewable (HOMER) software has been used during simulation. The optimal configuration results have proved that the proposed system can meet the farming load demand at an incurred cost of ZAR2.32 per kWh.
Reverse Group Consensus of Second-Order Multi-Agent Systems With Delayed Nonlinear Dynamics in the Cooperation–Competition Networks

This paper studies the reverse group consensus problem for second-order multi-agent systems with delayed nonlinear dynamics and intermittent communication in the cooperation–competition networks. It is assumed that each agent is assumed to share information only with its neighbors on some disconnected time intervals, a new kind of adaptive intermittent control protocol is proposed without in-degree balance condition, the results show the reverse group consensus can be achieved if the mirror graph is connected, and the communication time duration is larger than their corresponding threshold values, respectively. Finally, the two simulation examples are provided to demonstrate the effectiveness of the obtained theoretical results.
Thermo-Mechanical Analysis of SiC Schottky-Barrier Diode Press-Pack Packaging using Finite Element Simulation

In this paper, a simple method for the analysis of the thermal and mechanical distributions inside press-pack 3300V/360A SiC SBDs have been presented. A 3D FEM based mechanical model was developed to analyze the static clamping force, junction temperature and conduction current distributions among the chips. The results of the thermal simulations show a low difference in temperature between the chips in the center of the device and those in the edges. Moreover, the temperature distribution inside each chip is not uniform, with slight difference, which could be attributed to the uneven surface pressure and current flow distribution inside each chip. The mechanical simulations showed that the clamping pressure was quite uniform in the contact layer of each chip during the non-working state. Meanwhile, it’s been observed that the clamping pressure increased spontaneously among the chip surface. The pressure increase can be explained by the vertical thermal expansion, caused by different temperature dependent CTE of SiC and molybdenum among the contact layer.