Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis of Wireless Network Security Test Results provided by Raspberry Pi Devices on Kali Linux

This paper provides an analysis of the results of wireless network security testing. Wireless network testing was done using a Raspberry Pi device under the Kali Linux operating system. A legal testing procedure was carried out, tools, and testing procedures were presented, and the influence of various tools on the reliability of test results was analyzed. The obtained results of various tools have been compared and interpreted to understand the actual state of user wireless networks. Analysis of test results indicates serious security issues that pose a risk to both owners, and service providers.
Energy optimization in chiller plants: A novel formulation and solution using a hybrid optimization technique

The central chilled water plant is one of the major power-consuming units of a building. Even small reductions in power consumption could achieve significant energy conservation. Hence, optimization of a chiller plant is necessary for energy savings without compromising the comfort level of the end user. The present work deals with identifying the system parameters and developing a novel formulation for a chiller plant and its optimization using a hybrid optimization technique. The optimization model formulation is based on finding an optimal mix of equipment and operating parameters in the chiller plant for minimum electrical power consumption. It takes into account the performance characteristics of the chillers, cooling towers and pumps, and optimizes the energy consumed based on the required loads and the ambient atmospheric conditions. Sequential quadratic programming combined with the modified branch and bound method was used to develop the hybrid optimization algorithm. A case study is presented for a typical chiller plant. The results indicate that the present optimization method could be a potential method of making energy savings.
Voltage balancing scheme for flying capacitor multilevel converters

This study proposes a voltage balancing scheme for flying capacitors multilevel converters. The strategy is based on the redundancy of switching states. By using analytic expressions, the authors study the balancing properties of each switching state. Then, based on such properties, the authors choose the switching state which drives the capacitor voltages towards their reference values, and simultaneously will ensure the desired voltage level. The method can be particulary attractive for those applications where the typical pulse-width modulation control is not used, as direct torque control, hysteresis control and sliding-modes control. Experimental results demonstrate the effectiveness of the proposed control scheme, in steady and dynamic conditions.
Experimental and Analytical Studies of Hospital Piping Assemblies Subjected to Seismic Loading

The seismic characteristics of welded and threaded hospital piping assemblies were investigated with and without seismic restrainers under various intensities of seismic loading using a biaxial shake table. Experimental results showed that the restrainers limited the displacements; however, they did not reduce the acceleration responses. No leakage was detected in the welded assembly up to a drift ratio of 4.3%; however, threaded piping suffered minor leaks at a drift ratio of 2.2% and experienced connection failure at a drift ratio of 4.3%. A simplified computational model was developed and calibrated with experimental data using SAP2000. The effective stiffness of the seismic restrainers was determined to be 10% of full stiffness due to their initial slack. The analyses showed that the dynamic response of the piping system as braced in these experiments with similar boundary conditions was predominantly kinematic with minimal inertial effects.
Near‐Surface Stratification Due to Ice Melt Biases Arctic Air‐Sea CO2 Flux Estimates

Air‐sea carbon dioxide (CO2) flux is generally estimated by the bulk method using upper ocean CO2 fugacity measurements. In the summertime Arctic, sea‐ice melt results in stratification within the upper ocean (top ∼10 m), which can bias bulk CO2 flux estimates when the seawater CO2 fugacity is taken from a ship's seawater inlet at ∼6 m depth (fCO2w_bulk). Direct flux measurements by eddy covariance are unaffected by near‐surface stratification. We use eddy covariance CO2 flux measurements to infer sea surface CO2 fugacity (fCO2w_surface) in the Arctic Ocean. In sea‐ice melt regions, fCO2w_surface values are consistently lower than fCO2w_bulk by an average of 39 μatm. Lower fCO2w_surface can be partially accounted for by fresher (≥27%) and colder (17%) melt waters. A back‐of‐the‐envelope calculation shows that neglecting the summertime sea‐ice melt could lead to a 6%–17% underestimate of the annual Arctic Ocean CO2 uptake.
Isolated hypertransaminasemia in children up to two years with classical celiac disease

Introduction/Objective Isolated hypertransaminasemia (IHTS) is a common, benign, and transient appearance in patients with celiac disease (CD). The aim of this study is to determine the frequency of IHTS in children up to two years old with clinically classical CD, as well as its connection with the onset of the first symptoms of the disease, the age of diagnosis, the clinical and laboratory nutritional parameters, and the degree of damage of small intestinal mucosa. Methods The study was based on a sample of 82 children, 55 female and 27 male, ages 7? 24 (14.28 ? 4.41) months. The diagnosis of CD was based on the revised ESPGHAN criteria and the activity of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) by standard laboratory methods. Results IHTS was found in 39 (47.56%) patients, 27 of whom (69.23%) had elevated levels of both transaminases and 12 of only one ? eight of AST and four of ALT. The increase in relation to the aforementioned reference value for ALT was 1.1? 10.08 (1.67 ? 1.73), and for AST it was 1.08? 7.91 (1.56 ? 1.29) times. In patients with IHTS compared to those with normal transaminasemia, the age of onset of CD was significantly lower (9.83 ? 3.69 vs. 12.95 ? 4.43 months, p = 0.001), as well as the age of diagnosis (12.97 ? 3.88 vs. 15.47 ? 4.56 months; p = 0.01), while the differences in the other observed parameters were not significant. Conclusions IHTS occurs in almost half of children up to two years old with classical CD. Hypertransaminasemia is in most cases mild and significantly more frequent in patients with earlier clinical expression of the CD.
Microwave Limb Sounder (MLS) observations of biomass burning products in the stratosphere from Canadian forest fires in August 2017

Abstract. Forest fires in British Columbia in August 2017 caused a pyrocumulonimbus event that injected a polluted air mass into the lower stratosphere. The Microwave Limb Sounder (MLS) on the Aura satellite first observed the polluted air mass on 14 August 2017 and continued to observe it for 60 d (100 d in water vapour). We estimate the mass of CO injected into the stratosphere to be 2400 Gg. Events in which a fire injects its burning products directly into the stratosphere are rare: this is the third of four such events in the 16 years since the launch of Aura, the second largest of the four events, and the only one in the Northern Hemisphere. The other three events occurred in Australia in December 2006, February 2009 and from December 2019 to January 2020. Unlike the 2006 and 2009 events, but like the 2019–2020 event, the polluted air mass described here had a clearly elevated water vapour content: between 2.5 and 5 times greater than that in the surrounding atmosphere. We describe the evolution of the polluted air mass, showing that it rose to an altitude of about 24 km (31 hPa) and divided into several identifiable parts. In addition to CO and H2O, we observe enhanced amounts of HCN, CH3CN, CH3Cl and CH3OH with mixing ratios in the range to be expected from a variety of measurements in other biomass burning plumes. We use back trajectories and plume-dispersion modelling to demonstrate that the pollutants observed by MLS originated in the British Columbia fires, the likeliest source being at 53.2∘ N, 121.8∘ W at 05:20 UTC on 13 August 2017.
Advances in Microelectronics for Implantable Medical Devices

Implantable medical devices provide therapy to treat numerous health conditions as well as monitoring and diagnosis. Over the years, the development of these devices has seen remarkable progress thanks to tremendous advances in microelectronics, electrode technology, packaging and signal processing techniques. Many of today’s implantable devices use wireless technology to supply power and provide communication. There are many challenges when creating an implantable device. Issues such as reliable and fast bidirectional data communication, efficient power delivery to the implantable circuits, low noise and low power for the recording part of the system, and delivery of safe stimulation to avoid tissue and electrode damage are some of the challenges faced by the microelectronics circuit designer. This paper provides a review of advances in microelectronics over the last decade or so for implantable medical devices and systems. The focus is on neural recording and stimulation circuits suitable for fabrication in modern silicon process technologies and biotelemetry methods for power and data transfer, with particular emphasis on methods employing radio frequency inductive coupling. The paper concludes by highlighting some of the issues that will drive future research in the field.
Multi-Band Multi-Functional Metasurface-Based Reflective Polarization Converter for Linear and Circular Polarizations

In this paper, we present a simple metasurface based multiband reflective polarization converter for both linear and circular polarizations. We show that, on one hand, the proposed structure can convert the polarization of linearly polarized waves to the orthogonal direction at four frequency bands — 4.3 GHz, 7.2 GHz, 12.3 GHz, and 15.15 GHz. On the other hand, this metasurface can achieve linear to circular or circular to linear polarization conversion at 4 GHz, 4.75–5.95 GHz, 8.35–8.8 GHz and 14.35–14.6 GHz frequency bands. Such multiband operation originates from multiple resonances occurring in the structure based on meandered square ring and diagonal split strip resonator. Moreover, the polarization transforming capability is stable for oblique incident angle up to $15^{o}$ , for both transverse electric (TE) and transverse-magnetic (TM) polarizations. Furthermore, the proposed structure acts as a meta-reflector that maintains the handedness of the circular polarization upon reflection. Finally, a prototype of the proposed meta-structure is fabricated and measured for both normal and oblique incidence of electromagnetic waves. All the results present excellent resonant stability with respect to the different polarization and incident angles. In addition, we have also performed the tolerance analysis of different material parameters to understand the robustness of the structure. Due to the ability of the structure to perform three functionalities through a single layout, the proposed design can pave its way in different microwave applications such as satellite, radar, and 5G communications.
The Research of Topology Control in Wireless Sensor Network Based on the Monitoring of Transmission and Distribution Lines

For the performance of wireless sensor network, topology control plays an important role. In order to save energy, prolong the lifetime of the network and reduce the interference between nodes, while ensuring the connectivity and reliability of data transmission, we propose a suitable scheme which is hierarchical topology control with distributed and a long-chain structure based on the monitoring of transmission and distribution lines. It is based on the study of the monitoring of transmission and distribution lines in wireless sensor network.This scheme will cluster with the deployed nodes, and fuse with data in the selected cluster head,in order to complete topology structure.To matlab optimization platform, using ant colony optimization algorithm to remove some redundant links, so that data transmit to the monitoring center reliably and complete real-time monitoring of the lines,thus prolong the lifetime of the network.
Colloidal Shear-Thickening Fluids Using Variable Functional Star-Shaped Particles: A Molecular Dynamics Study

Complex colloidal fluids, depending on constituent shapes and packing fractions, may have a wide range of shear-thinning and/or shear-thickening behaviors. An interesting way to transition between different types of such behavior is by infusing complex functional particles that can be manufactured using modern techniques such as 3D printing. In this paper, we perform 2D molecular dynamics simulations of such fluids with infused star-shaped functional particles, with a variable leg length and number of legs, as they are infused in a non-interacting fluid. We vary the packing fraction (ϕ) of the system, and for each different system, we apply shear at various strain rates, turning the fluid into a shear-thickened fluid and then, in jammed state, rising the apparent viscosity of the fluid and incipient stresses. We demonstrate the dependence of viscosity on the functional particles’ packing fraction and we show the role of shape and design dependence of the functional particles towards the transition to a shear-thickening fluid.
Influence of phylogeny on the estimation of diet from dental morphology in the Carnivora

Abstract. Because teeth are the most easily preserved part of the vertebrate skeleton and are particularly morphologically variable in mammals, studies of fossil mammals rely heavily on dental morphology. Dental morphology is used both for systematics and phylogeny as well as for inferences about paleoecology, diet in particular. We analyze the influence of evolutionary history on our ability to reconstruct diet from dental morphology in the mammalian order Carnivora, and we find that much of our understanding of diet in carnivorans is dependent on the phylogenetic constraints on diet in this clade. Substantial error in estimating diet from dental morphology is present regardless of the morphological data used to make the inference, although more extensive morphological datasets are more accurate in predicting diet than more limited character sets. Unfortunately, including phylogeny in making dietary inferences actually decreases the accuracy of these predictions, showing that dietary predictions from morphology are substantially dependent on the evolutionary constraints on carnivore diet and tooth shape. The “evolutionary ratchet” that drives lineages of carnivorans to evolve greater degrees of hypercarnivory through time actually plays a role in allowing dietary inference from tooth shape, but consequently requires caution in interpreting dietary inference from the teeth fossil carnivores. These difficulties are another reminder of the differences in evolutionary tempo and mode between morphology and ecology.
Computational technique for probing terminal control mechanisms inside three-dimensional nano-scale MOSFET

A novel computational technique is presented to study the terminal influence inside the three-dimensional (3D) nano-scale metal-oxide semiconductor field effect transistor (MOSFET) using TCAD simulations. Within the MOSFET the derivative of the electrostatic potential with respect to voltages at each terminal is taken, and when these derivatives are summed together they always sum to unity. It is found that these functions can be used to quantify the relative influence or control of the terminals anywhere inside the MOSFET, including the channel. The motivation for moving from planar MOSFETs to 3D-MOSFETs is to increase the gate control over the channel. The terminal influence functions quantify the notion of control. To gain insight into the working of a semiconductor device, different quantities like potential, charge or current density etc. may be visualised. These quantities are available in the standard TCAD tool-kit. However, these do not directly address the mechanism of terminal control. The terminal response or control functions can be used to do this very clearly.
Cybercrime As a Potential Criminal Act of Violation the ITE Law on Social Media: A Forensic Linguistic Study in Indonesia

- This study aims to describe sybercrime cases that have the potential to become criminal acts on social media that are closely related to the ITE Law. The aim is to find out what actions have the potential to violate the ITe Law carried out on social media which are included in cybercrime behavior. In addition, the author examines the effectiveness of this law in resolving criminal cases that occur on the internet, which is so complex and has various modes. The method used in this research is qualitative by conducting a literature study. As a result, the researchers found that the types of cyber crimes varied, ranging from hecking, spreading hoaxes, defamation, hate speech, and cases of spreading pornography/immoral acts. Furthermore, this study observes that the ITE Law which is used as a legal instrument is still inadequate considering the complexity of the problems that occur in cybercrime and modes of crime that accompany it.
Genetic Variability and Relationship of Camel (Camelus dromedarius) Populations in Ethiopia as Evidenced by Microsatellites Analysis

Abstract This study was carried out to assess the genetic diversities and population structure of six camel populations of Ethiopia. Blood samples were collected from 114 camels (17-24 per population) and genotyped using10 camel microsatellite marker loci. The result revealed high genetic diversities in Ethiopian camel populations with average observed and expected heterozygosity, total number of alleles (TNA), mean number of alleles (MNA) and effective number of alleles of 0.55, 0.73,153, 6.8 (0.36) and 4.47(0.23), respectively. Among the 52 private alleles in the six Ethiopian camel populations, 31 of them were occurring at a frequency of ≥5%. It was also found that most of the variations in Ethiopian camels were attributed to within population variation (92%) while 8% was explained by between populations variation. Even though there was high heterozygosity, high inbreeding coefficient was detected in Ethiopian camel populations. From the sex camel populations 34.1, 33.4 and 28.6% alleles of Gelleb, Amibara and Liben camel populations respectively affected by inbreeding. The between population differentiation was (FST=0.11(0.01) indicating moderate population differentiation. The neighbor-joining tree and structure analysis show that the Ethiopian camel populations were clustered into four subgroups. The Afar camels were grouped into two together with the Ethiopian Somali camels (Jigjiga with Mille and Gelleb with Amibara) and the two Ogaden camels (Liben and Hoor) are separated into two subgroups indicating that some of the Afar and the Somali camels were admixed. Therefore, even though high hetrozygosity within population and moderate genetic differentiation between populations were observed, the presence of high inbreeding coefficient may affect hetrozygosity in the overall populations.
The cumulative capability ‘sand cone’ model revisited: a new perspective for manufacturing strategy

The cumulative capability or the ‘sand cone’ model (Ferdows and De Meyer 1990, Lasting improvements in manufacturing performance: in search of a new theory. Journal of Operations Management, 9(2), 168–184) has been central in the debate on relations among dimensions of manufacturing performance. The central thesis of this model is that manufacturing performance is cumulative and sequential, with quality performance forming the foundation. An implicit assumption underlying the model is that the indirect effects of quality leading to delivery, then to flexibility and finally cost are stronger than direct effects among these same performance dimensions. Despite its frequent use, the sand cone model has not been empirically tested for direct and indirect effects or for the sequence of effects. Most tests have used correlations or regression relationships that only establish positive relationships among dimensions, not the specific sand cone sequence. We conduct two new tests of the actual sequence of the sand cone theory using data from 189 manufacturing plants. We do not find universal support for the sand cone theory, since some plants in our data appear to be following the sand cone sequence, while others are not. Our empirical tests support other limited evidence in the literature that a contingency theory is needed rather than an outright rejection or acceptance of the sand cone model.
Classification of Attention Deficit Hyperactivity Disorder using Variational Autoencoder

Attention Deficit Hyperactivity Disorder (ADHD) categorize as one of the typical neurodevelopmental and mental disorders. Over the years, researchers have identified ADHD as a complicated disorder since it is not directly tested with a standard medical test such as a blood or urine test on the early-stage diagnosis. Apart from the physical symptoms of ADHD, clinical data of ADHD patients show that most of them have learning problems. Therefore, functional Magnetic Resonance Imaging (fMRI) is considered the most suitable method to determine functional activity in the brain region to understand brain disorders of ADHD. One of the ways to diagnose ADHD is by using deep learning techniques, which can increase the accuracy of predicting ADHD using the fMRI dataset. Past attempts of classifying ADHD based on functional connectivity coefficient using the Deep Neural Network (DNN) result in 95% accuracy. As Variational Autoencoder (VAE) is the most popular in extracting high-level data, this model is applied in this study. This study aims to enhance the performance of VAE to increase the accuracy in classifying ADHD using fMRI data based on functional connectivity analysis. The preprocessed fMRI dataset is used for decomposition to find the region of interest (ROI), followed by Independent Component Analysis (ICA) that calculates the correlation between brain regions and creates functional connectivity matrices for each subject. As a result, the VAE model achieved an accuracy of 75% on classifying ADHD.
Study on High Anti-Vibration Machine Bed

Vibration is one of the most important factors affecting the accuracy and precision of machine bed. Under the definite structure, different materials and fillings will affect the natural frequency of the machine bed. 3 kinds of candidate materials (HT300.20#.20# & concrete) are selected to build different machine bed. Based on FEM, modal analyses are performed on the different machine beds, 4 sets of natural frequency are sampled on each one. Aiming to better performance in vibration, the machine bed is optimized with higher natural frequency. Through experimental study on the machine bed, it is clear that the optimized machine bed can meet the needs to perform better in machining.
Order review and release strategies ina job shop environment: A review and a classification

In many job shop environments production orders arrive continuously at the production system over time. If an 'order review and release'(ORR) technique is applied, the arrival itself does not necessarily involve the release of a job to the shop floor; in fact, the ORR activities determine which jobs have to be selectively dispatched to theshop floor and when job releaseis to takeplace, so as to improve job shop management and performances. This paper introduces a review and a classification framework of the main research work carried out to date. We have considered eight main dimensions that describe the fundamental principles, characteristics and logic of existing order review and release techniques. The classification of selected models from the specialised literature by means of the proposed framework provides a better understanding for the practitioners and, on the other hand, aims to indicate to researchers the most promising research paths.