Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined Transcriptome and Lipidomic Analyses of Lipid Biosynthesis in Macadamia ternifolia Nuts

Macadamia nuts are considered a high-quality oil crop worldwide. To date, the lipid diversity and the genetic factors that mediate storage lipid biosynthesis in Macadamia ternifolia are poorly known. Here, we performed a comprehensive transcriptomic and lipidomic data analysis to understand the mechanism of lipid biosynthesis by using young, medium-aged, and mature fruit kernels. Our lipidomic analysis showed that the M. ternifolia kernel was a rich source of unsaturated fatty acids. Moreover, different species of triacylglycerols, diacylglycerol, ceramides, phosphatidylethanolamine, and phosphatidic acid had altered accumulations during the developmental stages. The transcriptome analysis revealed a large percentage of differently expressed genes during the different stages of macadamia growth. Most of the genes with significant differential expression performed functional activity of oxidoreductase and were enriched in the secondary metabolite pathway. The integration of lipidomic and transcriptomic data allowed for the identification of glycerol-3-phosphate acyltransferase, diacylglycerol kinase, phosphatidylinositols, nonspecific phospholipase C, pyruvate kinase 2, 3-ketoacyl-acyl carrier protein reductase, and linoleate 9S-lipoxygenase as putative candidate genes involved in lipid biosynthesis, storage, and oil quality. Our study found comprehensive datasets of lipidomic and transcriptomic changes in the developing kernel of M. ternifolia. In addition, the identification of candidate genes provides essential prerequisites to understand the molecular mechanism of lipid biosynthesis in the kernel of M. ternifolia.
Free vibration of axially loaded zigzag and armchair nanobeams using doublet mechanics

Abstract Based on doublet mechanics theory and various beam theories, this paper presents free vibration of axially loaded zigzag and armchair nanobeams. A two-noded higher order beam element is used to solve the problems of nanobeams with various boundary conditions. The verification studies in terms of fundamental frequencies and buckling loads are performed by comparing the results by the present model with Molecular Dynamic Simulations, Doublet Mechanics, and Eringen’s nonlocal theory. The effects of material length scale parameter, slenderness ratio, nanotube model and boundary conditions on the fundamental frequencies of axially loaded nanobeams are investigated in details. Softening material behavior is detected for zigzag and armchair nanobeams. Having stiffer boundary conditions lead to the effect of material length scale parameter to be observed more prominently.
Heavy vehicle road wear on sealed unbound granular roads

A sound basis for estimating the load-related road wear due to heavy vehicles on the road network is needed for estimating varying heavy vehicle road user charges on Australia's arterial roads. A network-level equation for estimating the percentage load-related road wear was developed for the typical good-quality uncracked sealed unbound pavements in Australia's sealed arterial road network using a network-level roughness deterioration model based on observational and experimental data. The equation estimated that the percentage load-related road wear varied with changes to the traffic load and pavement strength, and to a much lesser extent an environmental coefficient. This equation gave different estimates of percentage load-related road wear than those based on the HDM-4 roughness deterioration model. The environmental term in the roughness deterioration equation for sealed granular pavements was found to be more appropriate than the environmental term used in the HDM-4 roughness deterioration equation.
Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles

This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on a developed deep neural network (DNN) with a rectified linear unit in order to provide reliable and secure online monitoring for automated guided vehicles (AGVs). The developed IoT architecture based on a DNN introduces a new approach for the online monitoring of AGVs against cyber attacks with a cheap and easy implementation instead of the traditional cyber attack detection schemes in the literature. The proposed DNN is trained based on experimental AGV data that represent the real state of the AGV and different types of cyber attacks including a random attack, ramp attack, pulse attack, and sinusoidal attack that is injected by the attacker into the internet network. The proposed DNN is compared with different deep learning and machine learning algorithms such as a one dimension convolutional neural network (1D-CNN), a supported vector machine model (SVM), random forest, extreme gradient boosting (XGBoost), and a decision tree for greater validation. Furthermore, the proposed IoT architecture based on a DNN can provide an effective detection for the AGV status with an excellent accuracy of 96.77% that is significantly greater than the accuracy based on the traditional schemes. The AGV status based on the proposed IoT architecture with a DNN is visualized by an advanced IoT platform named CONTACT Elements for IoT. Different test scenarios with a practical setup of an AGV with IoT are carried out to emphasize the performance of the suggested IoT architecture based on a DNN. The results approve the usefulness of the proposed IoT to provide effective cybersecurity for data visualization and tracking of the AGV status that enhances decision-making and improves industrial productivity.
Numerical modeling of electromagnetic fields generated by electrostatic discharges

In this paper a numerical model for the computation of the electromagnetic field produced by an electrostatic discharge (ESD), occurring in the vicinity of a system of conducting objects, is presented. The ESD is modeled by a current flowing into a ionized channel located between two initially charged surfaces. The electromagnetic field generated by the ESD event is computed by means of a finite-difference time-domain (FDTD) algorithm based on the Yee's space-time mesh, and on the Mur's absorbing boundary conditions (ABC). A validation of the model by comparison against measured data is shown and an application to the analysis of the electromagnetic (EM) field produced by an ESD in a shielded box is presented.
Relations between Spectrum Curves of Discrete Sturm-Liouville Problem with Nonlocal Boundary Conditions and Graph Theory. II

In this paper, relations between discrete Sturm--Liouville problem with nonlocal integral boundary condition characteristics (poles, critical points, spectrum curves) and graphs characteristics (vertices, edges and faces) were found. The previous article was devoted to the Sturm--Liouville problem in the case two-points nonlocal boundary conditions.
Ongoing Experience with Ohio’s Automatic Weather Station Network

Ohio’s Automatic Weather Station Network has been in operation for over 10 years. The pyranometers used in the network deteriorated by 5 to 7% in sensitivity over the first 5 years of service and maintained roughly constant performance thereafter. Detailed data on instrumentation problems and failure rates are presented, and, in general, less than one percent of the potentially available data were lost. Relative humidity sensors, however, deteriorated significantly before replacement, and portions of the available relative humidity data are only usable as a general guide to humidity conditions. Data on system maintenance and operating costs indicated that 0.55 person-years of technical support and about $800/station were required to operate the network in a typical year. The network has functioned very well, but the dataloggers that are the basis for each station appear to be approaching the end of their useful life and adoption of new equipment will be required for continued, long-term operation.
Surface Acoustic Wave-Based Flexible Piezocomposite Strain Sensor

A surface acoustic wave (SAW), device composed of polymer and ceramic fillers, exhibiting high piezoelectricity and flexibility, has a wide range of sensing applications in the aerospace field. The demand for flexible SAW sensors has been gradually increasing due to their small size, wireless capability, low fabrication cost, and fast response time. This paper discusses the structural, thermal, and electrical properties of the developed sensor, based on different micro- and nano-fillers, such as lead zirconate titanate (PZT), calcium copper titanate (CCTO), and carbon nanotubes (CNTs), along with polyvinylidene fluoride (PVDF) as a polymer matrix. The piezocomposite substrate of the SAW sensor is fabricated using a hot press, while interdigital transducers (IDTs) are deposited through 3D printing. The piezoelectric properties are also enhanced using a non-contact corona poling technique under a high electric field to align the dipoles. Results show that the developed passive strain sensor can measure mechanical strains by examining the frequency shifts of the detected wave signals.
EXPLORING STUDENTS' COMPUTATIONAL THINKING FOR MATHEMATICAL PROBLEM-SOLVING: A CASE STUDY

The purpose of this paper is to investigate students’ engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The study uses a deductive-inductive analysis strategy based on the interplay between the theoretical framework and the empirical data. The results reveal that engaging students in CT for mathematical problem-solving is challenging for many reasons: Lack of mathematical thinking (MT), insufficient experience with CT, and more importantly lack of deeper connection between CT and MT. Conclusions are drawn from the results to promote mathematical problem-solving by means of CT and MT at the undergraduate level.
Review on Polymer Based Nanoparticles for Increase the Bioavalibilty of Poorly Water Soluble Drug

In this review study about the polymeric nanoparticles and how polymer based nanoparticles increase bioavailability of less water soluble drugs. Polymeric nanoparticles have a matrix of biodegradable and biocompatible polymers of synthetic and natural origin. Polymer based nanoparticles are very useful for increase the solubility of the poor water-soluble drugs by decrease the particles size. Polymeric nanoparticles are very useful for targeting the drug to the specific site. Polymeric nanoparticles are also used to maintain and control the release of the drug. In present review study on the type of polymer used for the preparation of the polymer based nanoparticles. The choice of method depends on a number of factors, such as, particles size, area of application and characterization of polymeric nanoparticles.
Thiophene-Based Covalent Organic Frameworks: Synthesis, Photophysics and Light-Driven Applications

Porous crystalline materials, such as covalent organic frameworks (COFs), have emerged as some of the most important materials over the last two decades due to their excellent physicochemical properties such as their large surface area and permanent, accessible porosity. On the other hand, thiophene derivatives are common versatile scaffolds in organic chemistry. Their outstanding electrical properties have boosted their use in different light-driven applications (photocatalysis, organic thin film transistors, photoelectrodes, organic photovoltaics, etc.), attracting much attention in the research community. Despite the great potential of both systems, porous COF materials based on thiophene monomers are scarce due to the inappropriate angle provided by the latter, which hinders its use as the building block of the former. To circumvent this drawback, researchers have engineered a number of thiophene derivatives that can form part of the COFs structure, while keeping their intrinsic properties. Hence, in the present minireview, we will disclose some of the most relevant thiophene-based COFs, highlighting their basic components (building units), spectroscopic properties and potential light-driven applications.
Physicochemical and nutritional properties of starches from nine Canadian‐grown peas compared with six commercial starches

The physicochemical properties and nutritional fractions of the starches isolated from nine Canadian‐grown peas, including marrowfat, green, and yellow pea types, were studied and compared with six commercial starches, to explore the unique properties of these pea starches. These nine pea starches were found to have high apparent amylose content (marrowfat peas, 51.3%–51.6%; yellow peas, 50.6%–53.8%; and green peas, 49.9%–54.2%) and a higher tendency than most commercial starches to retrograde. Although their physicochemical properties were not drastically different, a green pea variety, Limerick, stood out for its significantly high apparent amylose content (54.2%) and also the highest resistant starch (RS) content after cooking (29.5%), the latter even comparable with a commercial high amylose corn starch (29.8%). Principal component analysis indicated that amylose content, amylose leaching, and Rapid Visco Analyzer (RVA) parameters at the cooling stage are significantly positively correlated to the starch nutritional fractions of cooked samples. Cluster analysis showed a clear pattern that the RS content in cooked starches increased with the increasing amylose content in these starch samples. In general, these pea starches were rich in slowly digestible starch and high in RS after cooking (>16%). This study highlighted the unique properties of these pea starches, including their high amylose content, and ease of gelatinization yet strong tendency toward retrogradation, which resulted in superior final pasting viscosity and high RS content; thus, these pea starches could be the best alternative to commercial high amylose starches, to address the latter's deficiencies in pasting properties when applying in gel‐based low glycemic index (GI) foods.
Evaluation of Contact Pressure and Biomechanical Exposures on Different Work Surface Hardness

Contact pressure has been identified as a risk factor for musculoskeletal disorders (MSDs) in various occupational settings. Given that contact pressure over the palmar aspect of the wrists may increase risks for MSDs, the present study was designed to determine whether a work surface with a soft leading edge could reduce contact pressure and subjective musculoskeletal discomfort without affecting task performance during a series of standardized computer work tasks. Using a repeated-measures blinded experimental design with eighteen subjects, during the performance of a series of standardized computer work tasks, contact pressure, computer work performance and perceived fatigue in the upper extremities were evaluated and compared between a conventional hard-edge and soft-edge work surface. The results found that contact pressure and perceived fatigue in the wrists were lower on the soft-edge work surface compared to the conventional hard-edged work surface (p’s < 0.03), whereas no differences were found in computer task performance between the two work surfaces. The study findings showed that soft-edge work surface reduced contact pressure in the wrists and the reduction in contact stress may reduce the risks for developing work-related MSDs when working at the computer.
Compact and high-performance band stop filter on textile substrate

A band stop filter developed on a denim textile substrate is presented. The filter geometry is composed of interconnected half-wavelength parallel coupled resonators, in a novel microstrip filter configuration. Simulated results were obtained through the wave concept iterative method and Ansoft Designer software, for comparison purposes. In addition, prototypes were fabricated and measured for validating the simulation results. Good agreement is reported between simulated and measured results.
Forward converters for dual voltage switched reluctance motor drives

A new circuit is presented which allows a switched reluctance motor to operate from AC mains or a low voltage battery supply. In addition the AC mains can be used to charge the battery. The switched reluctance motor is used as the voltage-changing transformer, potentially reducing the cost of the system. The operation of the drive is explained, and results of an experimental prototype are presented.
Design of a large area magnetic field sensor array

The circuit design of a Large Area Magnetic Field Sensor Array (LAMFSA) using CMOS 3 /spl mu/m process is described. This prototype is developed mainly for application in magnetic field mapping and tactile array sensors. In order to enable the production of such a device, redundancy schemes are implemented and a laser interconnection post fabrication technique is used. The basic sensing cell consists of a double drain/double source MOS magnetic field sensor (MAGFET). The design architecture is strongly influenced by the sensor function and the defect avoidance criteria. Aided by SPICE, test and reconfiguration issues involved in the post fabrication processing are described. <<ETX>>
Substrate integrated circuits concept applied to the nonradiative dielectric guide

A novel technique for designing and realising nonradiative dielectric (NRD) waveguide circuits based on the concept of substrate integrated circuits (SICs) is proposed and demonstrated for the first time. In this new scheme, the substrate integrated NRD (SINRD) guide is created or synthesised by drilling a pattern of air holes in a planar dielectric substrate. Furthermore, metallised holes are also introduced to enclose the NRD guide. Using this configuration, an integrated waveguide transition and mode suppressor can be realised. Dispersion analysis and design considerations for the proposed structure are presented and discussed. It is shown that this new approach can be applied over a wide range of microwave and millimetre-wave frequencies for high-density circuit integration and low-cost system applications. Measured results of a number of showcase circuits validate the design method, which include a bandpass filter, a directional coupler and an integrated transition between an SINRD guide and a rectangular waveguide.
Targeting Chondroitin Sulfate Reduces Invasiveness of Glioma Cells by Suppressing CD44 and Integrin β1 Expression

Chondroitin sulfate (CS) is a major component of the extracellular matrix found to be abnormally accumulated in several types of cancer tissues. Previous studies have indicated that CS synthases and modification enzymes are frequently elevated in human gliomas and are associated with poor prognosis. However, the underlying mechanisms of CS in cancer progression and approaches for interrupting its functions in cancer cells remain largely unexplored. Here, we have found that CS was significantly enriched surrounding the vasculature in a subset of glioma tissues, which was akin to the perivascular niche for cancer-initiating cells. Silencing or overexpression of the major CS synthase, chondroitin sulfate synthase 1 (CHSY1), significantly regulated the glioma cell invasive phenotypes and modulated integrin expression. Furthermore, we identified CD44 as a crucial chondroitin sulfate proteoglycan (CSPG) that was modified by CHSY1 on glioma cells, and the suppression of CS formation on CD44 by silencing the CHSY1-inhibited interaction between CD44 and integrin β1 on the adhesion complex. Moreover, we tested the CS-specific binding peptide, resulting in the suppression of glioma cell mobility in a fashion similar to that observed upon the silencing of CHSY1. In addition, the peptide demonstrated significant affinity to CD44, promoted CD44 degradation, and suppressed integrin β1 expression in glioma cells. Overall, this study proposes a potential regulatory loop between CS, CD44, and integrin β1 in glioma cells, and highlights the importance of CS in CD44 stability. Furthermore, the targeting of CS by specific binding peptides has potential as a novel therapeutic strategy for glioma.
Aplikasi Mini Payroll Pada CV. Citra Karya Mandiri Bekasi

Sesuai Dengan Catatan pada Situs Medcom.id Pelaku bisnis yang baru merintis usaha biasanya belum memikirkan sistem pengelolaan sumber daya manusia (SDM) secara otomatis. Pengelolaan di ruang lingkup HR ini menjadi masalah klasik bisnis kecil di Indonesia, kata Chief Commercial Officer PT Mid Solusi Nusantara (Mekari) Sandy Suryanto. (sumber : www.medcom.id). Pada saat ini CV. Cipta Karya Mandiri hanya berupa perusahaan yang bergerak dalam bidang Kontruksi Besi. Sistem yang ada pada perusahaan ini masih dilakukan secara manual, mulai dari pencatatan absensi pada karyawan, sampai penggajian serta data-data lainnya yang berhubungan dengan masukan data hingga sampai pembuatan laporan, kemungkinan terjadinya kesalahan pada proses pencatatan dan pemrosesan data menjadi sangat besar, laporan menjadi tidak akurat dan membutuhkan waktu yang lama saat pencarian. Melihat dari trend sekarang dan penelitian sebelumnya peneliti ingin mengimplementasikan sebuah aplikasi Mini Payroll kedalam tempat riset kami di CV. Cipta Karya Mandiri yang bergerak di bidang usaha kontruksi besi, berupa aplikasi web payroll sederhana menggunakan Codeiqniter, MySql, dan Bootstrap dan menggunakan metode pengembangan software waterfall.
A design of novel grooved circular waveguide polarizers

This paper presents a novel type of polarizer that is composed of grooved circular waveguides, The presented polarizer is suitable for realizing high performance and low fabrication cost in Ka-band and above because of simple structure. An accurate design of the polarizer is performed using mode-matching techniques. A Ka-band polarizer fabricated with the aid of the design technique has realized excellent performances.