Miracle-dz/UniFAR-FTUs huggingface dataset:
A 17.7–20.2-GHz 1024-Element K-Band SATCOM Phased-Array Receiver With 8.1-dB/K G/T, ±70° Beam Scanning, and High Transmit Isolation

This article presents a wideband scalable 17.7–20.2-GHz 1024-element <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-band satellite communication (SATCOM) receive (Rx) phased array with reconfigurable polarization. The phased array uses silicon Rx beamformer (BF) chips and silicon low-noise amplifiers (LNAs) and is able to receive either linear, rotated linear, circular clockwise, or anticlockwise polarization. It demonstrates a measured 3.47° half-power beamwidth (HPBW), more than 25-dB cross-polar discrimination (XPD), and +8.1-dB/K gain-to-noise (G/T) per polarization, and has more than 80-dB Tx-band isolation. The phased array is able to scan to ±70° in all planes without grating lobes and <inline-formula> <tex-math notation="LaTeX">$\cos ^{1-1.2}(\theta)$ </tex-math></inline-formula> scan loss. The array aperture measures 22.4 cm <inline-formula> <tex-math notation="LaTeX">$\times22.4$ </tex-math></inline-formula> cm. To our knowledge, this is the largest single printed circuit board (PCB) SATCOM <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-band phased-array receiver to date with the highest G/T and represents the highest level of integration at millimeter waves.
AGEs/RAGE Promote Osteogenic Differentiation in Rat Bone Marrow-Derived Endothelial Progenitor Cells via MAPK Signaling

Systemic vascular impairment is the most common complication of diabetes. Advanced glycation end products (AGEs) can exacerbate diabetes-related vascular damage by affecting the intima and media through a variety of mechanisms. In the study, we demonstrated that AGEs and their membrane receptor RAGE could induce the differentiation of EPCs into osteoblasts under certain circumstances, thereby promoting accelerated atherosclerosis. Differentiation into osteoblasts was confirmed by positive staining for DiI-acetylated fluorescently labeled low-density lipoprotein and FITC-conjugated Ulex europaeus agglutinin. During differentiation, expression of receptor for AGE (RAGE) was significantly upregulated. This upregulation was attenuated by transfection with RAGE-targeting small interfering (si)RNA. siRNA-mediated knockdown of RAGE expression significantly inhibited the upregulation of AGE-induced calcification-related proteins, such as runt-related transcription factor 2 (RUNX2) and osteoprotegerin (OPG). Additional experiments showed that AGE induction of EPCs significantly induced ERK, p38MAPK, and JNK activation. The AGE-induced upregulation of osteoblast proteins (RUNX2 and OPG) was suppressed by treatment with a p38MAPK inhibitor (SB203580) or JNK inhibitor (SP600125), but not by treatment with an ERK inhibitor (PD98059), which indicated that AGE-induced osteoblast differentiation from EPCs may be mediated by p38MAPK and JNK signaling, but not by ERK signaling. These data suggested that AGEs may bind to RAGE on the EPC membrane to trigger differentiation into osteoblasts. The underlying mechanism appears to involve the p38MAPK and JNK1/2 pathways, but not the ERK1/2 pathway.
Design and modeling of an on-site greywater treatment system for a hotel building

PurposeAs the United States is making a significant move toward rejoining the Paris Agreement on climate change, there is a high demand for sustainable solutions across various industries, including construction and hospitality sectors. The aim of this project was to design and model an on-site greywater treatment system for a hotel building for the effective reuse of sewage water. The study considered Los Angeles, California, as a case study location and referred to respective climate conditions and construction standards.Design/methodology/approachThis study considered various options of greywater treatment plants such as membrane bioreactor (MBR), sequencing batch reactor and reverse osmosis with upflow anaerobic sludge blanket which were carefully reviewed and modeled using the GPS-X software. The design and modeling results were verified by hand calculations and were followed by the estimation of capital and operational expenses required for the implementation of the plants.FindingsHaving relatively low capital and operational expenditure requirements as well as superior technical performance, the MBR plant proved to be the most effective solution for the considered location and standards and was recommended for use in hotel buildings.Practical implicationsDesigning and modeling several greywater treatment plants allowed selecting the most optimal option which in the long run will help to preserve the eco-system, stay compliant with the government laws and regulations and be financially sustainable.Originality/valueThe outcomes of the present study provide a detailed procedure for designing and modeling a greywater treatment plant for a hotel building that can be used for the localities with a similar climate. The most effective option selected as a result of cost-benefit analysis provides an efficient and viable solution for the relevant industry and the type of buildings.
Rare and population-specific functional variation across pig lines

Background It is expected that functional, mainly missense and loss-of-function (LOF), and regulatory variants are responsible for most phenotypic differences between breeds and genetic lines of livestock species that have undergone diverse selection histories. However, there is still limited knowledge about the existing missense and LOF variation in commercial livestock populations, in particular regarding population-specific variation and how it can affect applications such as across-breed genomic prediction. Methods We re-sequenced the whole genome of 7848 individuals from nine commercial pig lines (average sequencing coverage: 4.1×) and imputed whole-genome genotypes for 440,610 pedigree-related individuals. The called variants were categorized according to predicted functional annotation (from LOF to intergenic) and prevalence level (number of lines in which the variant segregated; from private to widespread). Variants in each category were examined in terms of their distribution along the genome, alternative allele frequency, per-site Wright’s fixation index (F ST ), individual load, and association to production traits. Results Of the 46 million called variants, 28% were private (called in only one line) and 21% were widespread (called in all nine lines). Genomic regions with a low recombination rate were enriched with private variants. Low-prevalence variants (called in one or a few lines only) were enriched for lower allele frequencies, lower F ST , and putatively functional and regulatory roles (including LOF and deleterious missense variants). On average, individuals carried fewer private deleterious missense alleles than expected compared to alleles with other predicted consequences. Only a small subset of the low-prevalence variants had intermediate allele frequencies and explained small fractions of phenotypic variance (up to 3.2%) of production traits. The significant low-prevalence variants had higher per-site F ST than the non-significant ones. These associated low-prevalence variants were tagged by other more widespread variants in high linkage disequilibrium, including intergenic variants. Conclusions Most low-prevalence variants have low minor allele frequencies and only a small subset of low-prevalence variants contributed detectable fractions of phenotypic variance of production traits. Accounting for low-prevalence variants is therefore unlikely to noticeably benefit across-breed analyses, such as the prediction of genomic breeding values in a population using reference populations of a different genetic background.
Low Light Intensity and High Temperature Efficient Interdigitated Back- Surface-Contact Solar Cell with 28.81% Efficiency Rate

Back-contact solar cells improve optical properties by moving all electrically conducting parts to the back of the cell. The cell's structure allows silicon solar cells to surpass the 25% efficiency barrier and interdigitated solar cells are now the most efficient. In this work, the fabrication of a light efficient and temperature resistant interdigitated back contact (IBC) solar cell is investigated. This form of solar cell differs from conventional solar cell in that the electrodes are located at the back of the cell, eliminating the need for grids on the top, allowing the full surface area of the cell to receive sunlight, resulting in increased efficiency. In this project, we will use SILVACO TCAD, an optoelectronic device simulator, to construct a very thin solar cell with dimensions of 100x250μm in 2D Luminous. The influence of sunlight intensity and atmospheric temperature on solar cell output power is highly essential and it has been explored in this work. The cell's optimum performance with 150um bulk thickness provides 28.81% efficiency with 87.68% fill factor rate making it ultra-thin, flexible and resilient providing diverse operational capabilities.
Manajemen Privasi Akun Model Hijab di Media Sosial Instagram

Penelitian ini bertujuan untuk menganalisis manajemen privasi model hijabers melalui privat akun di Instagram. Privat akun merupakan salah satu fitur di Instagram dimana pengguna mengunci akun sehingga tidak semua audiens bisa melihat aktivitas pengguna di Instagram. Teori Manajemen Privasi Manajemen digunakan dalam penelitian ini. Jenis penelitian ini yaitu penelitian kualitatif dengan metode deskriptif. Penelitian ini menggunakan teknik wawancara dalam memperoleh data primer dan dilakukan observasi akun Instagram untuk data sekunder. Data divalidasi menggunakan teknik triangulasi sumber. Hasil dalampenelitian ini menunjukkan bahwa model hijabers dalam manajemen privasi di Instagram dengan cara menggunakan privat akun Instagram dan mengatur konten unggahan dari foto, video maupun caption hingga adanya filter audiens karena merupakan ranah privasi mereka.
Genetic Algorithm-based Optimal Deep Neural Network for Detecting Network Intrusions

Computer network attacks are evolving in parallel with the evolution of hardware and neural network architecture. Despite major advancements in Network Intrusion Detection System (NIDS) technology, most implementations still depend on signature-based intrusion detection systems, which can’t identify unknown attacks. Deep learning can help NIDS to detect novel threats since it has a strong generalization ability. The deep neural network’s architecture has a significant impact on the model’s results. We propose a genetic algorithm based model to find the optimal number of hidden layers and the number of neurons in each layer of the deep neural network (DNN) architecture for the network intrusion detection binary classification problem. Experimental results demonstrate that the proposed DNN architecture shows better performance than classical machine learning algorithms at a lower computational cost.
The Utilization of Oil Palm Empty Fruit Bunches for Growth of Oyster Mushroom (Pleurotus ostreatus) and Biodelignification Process During Planting Cycle

Indonesia produces a large amount of oil palm empty fruit bunch (EFB) that has potency used as media for mushroom cultivation. The research emphasized the use of EFB to grow oyster mushrooms as an alternative for delignification without chemicals. This research aimed to study the growth of oyster mushroom (Pleurotus ostreatus) at EFB based growing media treatments. The media consisted of a mixture of EFB and sawdust at the composition of 0%, 25%, 50%, 75%, and 100%. The media were also supplemented with rice bran, CaCO3, and TSP fertilizer. The data were collected on the mycelium growth and the mushroom weight. During cultivation in baglog, there was no difference in mycelium growth rate. The EFB composition of 25% showed faster growth among the other compositions, followed by the EFB composition of 50%, 75%, and 0%. The highest Biological Efficiency Ratio (BER) at 56.25% was obtained at media composition of 50%. The EFB contained in baglog also showed biodelignification process. Biodelignification has the benefit which can reduce the use of chemicals in the delignification process to convert EFB into cellulose. The highest lignin reduction (40.12%) occurred in 75% of EFB media composition, while hemicellulose (49.56%) occurred in 100% EFB media composition.
Multimodal Indoor Localization: Fusion Possibilities of Ultrasonic and Bluetooth Low-Energy Data

The resilience of indoor localization systems is a main concern of their industrial application. A combination of different techniques can enhance the overall robustness of such systems. In this work, we present fusion possibilities of coarse Bluetooth Low Energy localization based on the received signal strength indicator and the finer ultrasound time difference of arrival (TDOA) technique. This approach offers the advantage to robustify the high-accuracy ultrasonic localization in areas with non-optimal coverage. Moreover, the data fusion enables to enhance the overall localization area in a cost effective manner. This contribution proposes and evaluates (i) novel methods of how the ultrasonic system can be extended to a constrained area and (ii) a novel possibility to incorporate available Bluetooth signal strength information in the TDOA algorithm to improve accuracy.
Modeling and Design of High Temperature Silicon Carbide DMOSFET Based Medium Power DC-DC Converter

Silicon Carbide (SiC) is a promising new material for high power high temperature electronics applications. SiC Schottky diodes are already finding wide acceptance in designing high efficiency power electronic systems. We present TCAD and Verilog-A based modeling of SiC DMOSFET, and the design and analysis of a medium power DC-DC converter designed using SiC power DMOSFETs and SiC Schottky diodes. The system is designed as a 300W boost converter with a 12V input and 24V/36V outputs. The SiC power converter is compared to another designed with commercially available Silicon power devices to evaluate power dissipation in the DMOSFETs, transient response of the system and its conversion efficiency. SiC DMOSFETs are characterized at high temperature by developing temperature dependent TCAD and Verilog-A models for the device. Detailed TCAD modeling allows probing inside the device for understanding the physical processes of transport, whereas Verilog-A modeling allows us to define the complex relationship of .
Influence of the Rootstock and the Ploidy Level of the Scion and the Rootstock on Sweet Orange (Citrus sinensis) Peel Essential Oil Yield, Composition and Aromatic Properties

Rootstock is widely used for the cultivation of citrus fruits because it brings resistance or tolerance to diseases or environmental constrains and modulates the fruit quality. Polyploidization is a widespread improvement strategy in citrus. The objective was to evaluate the effect of rootstock and ploidy level on the composition of essential oils. Two trials were conducted, one displaying a ‘Navelina’ orange grafted on three rootstocks and a second combining two ploidy levels (di and tetraploid) of scion (‘Pineapple’ orange) and rootstock (‘Carrizo’ citrange). The composition of peel essential oil (PEO) was analyzed by gas chromatography coupled with mass spectrometry, and a panel of experts analyzed its flavor variation with a triangle test approach. The rootstock influenced the yield and composition of the orange PEO, with a low impact on flavor. Neither the rootstock nor the scion ploidy level affected the PEO yield. Only the tetraploid level of the scion significantly modified the PEO composition, reducing the oxygenated compound fraction. Sensitive significant differences were detected between the reference sample (diploid scion–diploid rootstock) and the three other combinations. These results suggest that for the profiling of an aromatic flavor, the rootstock is a key element as is the ploidy level of the scion.
A Dynamic Four-Step Data Security Model for Data in Cloud Computing Based on Cryptography and Steganography

Cloud computing is a rapidly expanding field. It allows users to access computer system resources as needed, particularly data storage and computational power, without managing them directly. This paper aims to create a data security model based on cryptography and steganography for data in cloud computing that seeks to reduce existing security and privacy concerns, such as data loss, data manipulation, and data theft. To identify the problem and determine its core cause, we studied various literature on existing cloud computing security models. This study utilizes design science research methodology. The design science research approach includes problem identification, requirements elicitation, artifact design and development, demonstration, and assessment. Design thinking and the Python programming language are used to build the artifact, and discussion about its working is represented using histograms, tables, and algorithms. This paper’s output is a four-step data security model based on Rivest–Shamir–Adleman, Advanced Encryption Standard, and identity-based encryption algorithms alongside Least Significant Bit steganography. The four steps are data protection and security through encryption algorithms, steganography, data backup and recovery, and data sharing. This proposed approach ensures more cloud data redundancy, flexibility, efficiency, and security by protecting data confidentiality, privacy, and integrity from attackers.
Experimental and Numerical Study of a Two-Stage Swirl Burner

In this study, we developed the design process and optimization of structural parameters of a new low-NOx burner based on low-NOx combustion technology and the flame stabilization principle. Firstly, on the basis of the two-stage swirl burner, we applied the fuel-graded combustion technology and introduced the central nozzle structure to explore the influence law of graded combustion on NOx emissions. Secondly, on the previously optimized structure, the matching law between the first- and second-stage cyclone blades is analyzed to obtain the optimum structural design solution for heat exchange efficiency and flame front length. Finally, a new conical blunt structure is introduced in conjunction with the flame stabilization principle, and we discuss the effects of different half cone angles on the flame stabilization, flame front length, and heat exchange efficiency of the burner. The research in this paper provides a reliable direction for the design optimization of low-NOx burners.
The Meeting before the Meeting: Governance Roadshows and Mutual Fund Voting

We study whether private interactions between firms and mutual funds during nondeal roadshows (NDRs) influence governance behavior. Funds headquartered in the city where the firm conducts an NDR are more likely to download proxy statements. They are also more likely to vote with management on contentious proposals, and their voting is perceived by the market as value increasing. Further, high aggregate NDR ownership is associated with a smaller proportion of contentious items on the meeting agenda. Collectively, the evidence is consistent with “behind-the-scenes” engagement between firms and investors resulting in improved governance outcomes. ∗Ellis (jaellis5@ncsu.edu) is at the Department of Finance at the North Carolina State University. Gerken (will.gerken@uky.edu) and Jame (russell.jame@uky.edu) are at the Department of Finance & Quantitative Methods at the University of Kentucky. We thank Morteza Momeni for excellent research assistance.
The Effect of Simvastatin on Acute Phase Functional Outcome of Ischemic Stroke

Introduction: Stroke is one of the leading causes of death and disability worldwide, and especially in Indonesia. Several studies showed the pleiotropic and neuroprotective effect of simvastatin in addition to lowering blood cholesterol levels. Objective: This trial was conducted to investigate if the administration of simvastatin in acute ischemic stroke management can improve functional outcomes. Methods: This randomized, double-blind, placebo-controlled trial of simvastatin was conducted in patients with acute ischemic stroke with an NIHSS score of 4-14. Participants were randomly assigned to receive 40 mg of simvastatin or placebo for seven days. The NIHSS scale was compared on admission day, 4th and 8th day after administration of simvastatin between the two groups. Results: 52 individuals were randomized: 28 to simvastatin and 24 to placebo. There was no significant improvement of functional outcome between the two groups (p > 0.05). Conclusion: Administration of simvastatin had no significant effect on outcome (measured by NIHSS) in patients with acute ischemic stroke.
Projektorientierte Ausbildung von Lehrern für berufliche Schulen

In diesem Beitrag wird das Konzept der fachdidaktischen Projekte vorgestellt und erortert. Die Projekte sind obligatorisches Element der universitaren Ausbildung von Lehrern fur berufliche Schulen in den beruflichen Fachrichtungen Metalltechnik und Elektrotechnik an der Leibniz Universitat Hannover. Es dient den Studierenden dazu, ein Verfahren zur Gestaltung und Optimierung berufspraktischer Lehr-/Lernarrangements kennen zu lernen und zu erproben. (Orig.)
Civil Infrastructure Damage and Corrosion Detection: An Application of Machine Learning

Automatic detection of corrosion and associated damages to civil infrastructures such as bridges, buildings, and roads, from aerial images captured by an Unmanned Aerial Vehicle (UAV), helps one to overcome the challenges and shortcomings (objectivity and reliability) associated with the manual inspection methods. Deep learning methods have been widely reported in the literature for civil infrastructure corrosion detection. Among them, convolutional neural networks (CNNs) display promising applicability for the automatic detection of image features less affected by image noises. Therefore, in the current study, we propose a modified version of deep hierarchical CNN architecture, based on 16 convolution layers and cycle generative adversarial network (CycleGAN), to predict pixel-wise segmentation in an end-to-end manner using the images of Bolte Bridge and sky rail areas in Victoria (Melbourne). The convolutedly designed model network proposed in the study is based on learning and aggregation of multi-scale and multilevel features while moving from the low convolutional layers to the high-level layers, thus reducing the consistency loss in images due to the inclusion of CycleGAN. The standard approaches only use the last convolutional layer, but our proposed architecture differs from these approaches and uses multiple layers. Moreover, we have used guided filtering and Conditional Random Fields (CRFs) methods to refine the prediction results. Additionally, the effectiveness of the proposed architecture was assessed using benchmarking data of 600 images of civil infrastructure. Overall, the results show that the deep hierarchical CNN architecture based on 16 convolution layers produced advanced performances when evaluated for different methods, including the baseline, PSPNet, DeepLab, and SegNet. Overall, the extended method displayed the Global Accuracy (GA); Class Average Accuracy (CAC); mean Intersection Of the Union (IOU); Precision (P); Recall (R); and F-score values of 0.989, 0.931, 0.878, 0.849, 0.818 and 0.833, respectively.