Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical Review of Recent Advancement in Metamaterial Design for Wireless Power Transfer

With increasing penetration of wireless charging technologies comes an ever-rising demand for wireless power transfer (WPT) structures that demonstrate high power transfer and power transfer efficiency (PTE), especially over wide transfer distance. The concern with reliability in adopting wireless charging technologies in consumer and industrial applications (including mobile chargers and dynamic wireless charging of electric vehicles, EVs) stems from fluctuating output power and low power transfer efficiency (PTE). Moreover, the inherently high resonant frequency of existing metamaterial (MM)-based WPT designs imposes a high switching stress on power semiconductors and passive components, resulting in high power dissipation, especially in high power applications. This manuscript presents a critical survey of recent studies and developments in MM-based WPT systems. First, the fundamental concepts and classification of WPT technologies based on magnetic resonant coupling (MRC), inductive coupling etc. are discussed. Going forward, key MM design considerations, including resonance operating frequencies, effective permittivity ( $\epsilon _{r}$ ), effective permeability ( $\mu _{r}$ ), numerical modeling, equivalent circuit representations, and 3D fabrication technologies are widely analyzed and critiqued. Additionally, the performance enhancing effect of integrating different MM designs with existing WPT systems are explicitly discussed. Finally, the technical challenges associated with the resonant operating frequencies of MM, miniaturization of MM design footprint, and 3D prototyping are investigated while also presenting potential solutions.
Characterization of Shiga Toxin Escherichia coli O157: H7 from raw camel milk, Goat Meat and Minced Goat Meat sold at Local Markets in Matrouh Governorate.

Escherichia coli O 157 :H 7 is a major food borne pathogens of concern worldwide so, the present study was carried out for isolation of E. coli O 157 :H 7 , molecular characterization, detection of virulence genes, antibiogram and phenotypic detection of Extended spectrum beta lactamase (ESBL) producers among isolated strains from raw camel milk goat meat and minced goat meat. A total of 66 samples (44 raw camel milk, 15 goat meat and 7 minced goat meat) were collected from local retail outlets, butcher's shop and super markets in Matrouh Governorate. Samples were subjected to bacterial isolation and identification using cultural, biochemical, PCR, antibiogram and phenotypic detection of ESBL. Out of 66 samples, 7 (10.6%) E. coli O 157 :H 7 isolates were recovered. All 7 (100%) tested isolates were positive for flic H7 gene. 4 (57.14%) isolates were positive for stx 1 but, none of the isolates were positive for stx 2 gene. E. coli O 157 :H 7 isolates showed susceptibility to gentamycin (28.6%), chloramphenicol (57.1%), cefepime and cefuroxime (14.3%) while intermediate susceptible to nalidixic acid (71.4%), streptomycin (57.1%), chloramphenicol, ampicillin and cefepime (14.3%), but resistant to cefotaxime and ceftazidime (100%), ampicillin and cefuroxime (85.7%), gentamycin and cefepime (71.4%), streptomycin (42.9%), nalidixic acid and chloramphenicol (28.6%). only 14.3% of isolates were ESBL producers. Consequently, the goat meat is one of the major sources of E. coli O 157 :H 7 in Matrouh Governorate. Multiple antibiotic resistant profiles of E. coli O 157 :H 7 show a risk for public health and food safety as well as animal production so, proper antibiotics usage in animal production also needs attention. 5. Characterization of ESBLs according CLSI (2016): Isolates with reduced CTX and / CAZ was assessed using combination disc test An in the zone more than 5mm for either antimicrobial agent tested in combination with clavulonic acid vs. the zone
Temperature/pH-Responsive Carboxymethyl Cellulose/Poly (N-isopropyl acrylamide) Interpenetrating Polymer Network Aerogels for Drug Delivery Systems

Temperature/pH-responsive carboxymethyl cellulose/poly (N-isopropyl acrylamide) interpenetrating polymer network (IPN) aerogels (CMC/Ca2+/PNIPAM aerogels) were developed as a novel drug delivery system. The aerogel has a highly open network structure with a porosity of more than 90%, which provides convenient conditions for drug release. The morphology and structure of the CMC/Ca2+/PNIPAM aerogels were characterized via scanning electron microscopy (SEM), Micro-CT, X-ray photoelectron spectroscopy (XPS), pore size analysis, and cytotoxicity analysis. The analysis results demonstrate that the aerogel is non-toxic and has more active sites, temperatures, and pH response performances. The anticancer drug 5-fluorouracil (5-FU) was successfully loaded into aerogels through physical entrapment and hydrogen bonding. The drug loading and sustained-release model of aerogels are used to fit the drug loading and sustained-release curve, revealing the drug loading and sustained-release mechanism, and providing a theoretical basis for the efficient drug loading and sustained release.
Effects of Tolerance-Induced Preconditioning on Mitochondrial Biogenesis in Undifferentiated and Differentiated Neuronal Cells.

BACKGROUND Mitochondrial biogenesis occurs in response to chronic stresses as an adaptation to the increased energy demands and often renders cells more refractive to subsequent injuries which is referred to as preconditioning. This phenomenon is observed in several non-neuronal cell types, but it is not yet fully established in neurons, although it is fundamentally important for neuroprotection and could be exploited for therapeutic purposes. METHODS This study was designed to examine whether the preconditioning treatment with hypoxia or nitric oxide could trigger biogenesis in undifferentiated and differentiated neuronal cells (rat PC12 and human NT2 cells) as well as in primary mouse cortical neurons. RESULTS The results showed that both preconditioning paradigms induced mitochondrial biogenesis in undifferentiated cell lines, as indicated by an increase of mitochondrial mass (measured by flow cytometry of NAO fluorescence) and increased expression of genes required for mitochondrial biogenesis (Nrf1, Nrf2, Tfam, Nfκb1) and function (Cox3, Hk1). All these changes translated into an increase in the organelle copy number from an average of 20-40 to 40-60 mitochondria per cell. The preconditioning treatments also rendered the cells significantly less sensitive to the subsequent oxidative stress challenge brought about by oxygen/glucose deprivation, consistent with their improved cellular energy status. Mitochondrial biogenesis was abolished when preconditioning treatments were performed in the presence of antioxidants (vitamin E or CoQ10), indicating clearly that ROS-signaling pathway(s) played a critical role in the induction of this phenomenon in undifferentiated cells. However, mitochondrial biogenesis could not be re-initiated by preconditioning treatments in any of the post-mitotic neuronal cells tested, i.e., neither rat PC12 cells differentiated with NGF, human NT2 cells differentiated with retinoic acid nor mouse primary cortical neurons. Instead, differentiated neurons had a much higher organelle copy number per cell than their undifferentiated counterparts (100-130 mitochondria per neuron vs. 20-40 in proliferating cells), and this feature was not altered by preconditioning. CONCLUSIONS Our study demonstrates that mitochondrial biogenesis occurred during the differentiation process resulting in more beneficial energy status and improved tolerance to oxidative stress in neurons, putting in doubt whether additional enhancement of this phenomenon could be achieved and successfully exploited as a way for better neuroprotection.
Enhanced Map-Aided GPS/3D RISS Combined Positioning Strategy in Urban Canyons

To realize the effective positioning in urban canyons, an enhanced map-aided Global Positioning System (GPS)/three-dimensional (3D) reduced inertial sensor system (RISS) tightly combined positioning strategy is proposed. First, the 3D RISS is only based on the built-in controller area network (CAN). CAN bus sensor without additional sensors is first constructed to lower the cost. Then, a simple but effective enhanced map is created to assist positioning. Based on the map, a Kalman filtering (KF) tightly coupled method is proposed to fuse the 3D RISS with GPS information and to achieve the preliminary positioning. In KF-based preliminary positioning method, a simply observation noise variance optimization algorithm based on 2D enhanced map is proposed to improve KF method. In this algorithm, the value of the observation noise variance matrix is determined only according to the building plane information which is contained in the enhanced map. Further, a multiweight map matching algorithm is proposed for optimizing the initial positioning results. In this algorithm, factors such as distance, direction, road network topology, and lane change are considered and applied to map matching to further increase the positioning performance and form the final positioning results. Finally, the effectiveness of the strategy is proved by field test. The results show that this method has better accuracy and reliability than the conventional method.
The Performance of Magnetic Tunnel Junction Integrated on the Back-end Metal Line of CMOS Circuits

Center for Interdisciplinary Research, Tohoku University, Aramaki aza Aoba 6-3, Aoba-ku, Sendai 980-8578, Japan, Phone: +81-22-217-4401 E-mail: endoh@riec.tohoku. ac.jp 2 Laboratory for Nanoelectronics and Spintronics, Research Institute of Electrical Communication, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan Advanced Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan 4 Research Institute of Electrical Communication, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan
An Entropy Source based on the Bluetooth Received Signal Strength Indicator

The Bluetooth Low Energy (BLE) is one of the popular communication technologies employed in the Internet of Things (IoT) context. IoT devices need random numbers to feed their security mechanisms, where the generation of random numbers presupposes the existence of entropy sources. However, there are few entropy sources available, due to the limited hardware resources of those devices. Given this scenario, this paper presents a scalable approach for gathering entropy, called Bluerandom. The approach is based on the Received Signal Strength Indicator (RSSI) within Bluetooth communications. The results show that Bluerandom can be used as an alternative source of entropy, improving the robustness of the cryptographic mechanisms for the IoT context.
Investigating the knowledge sharing activities among postgraduates students using social media tools

Knowledge sharing is a process where individuals mutually exchange their knowledge and jointly create new knowledge. Recently, it is found that besides face-to-face interactions, students also share their knowledge through social media tools. Social media is considered as the key value in the campus to facilitate knowledge sharing and the main tasks in order to support the daily communication. Many dimensions of knowledge sharing in social media environments have not yet been examined. Also many questions are still unanswered and need to be explored across different social media tools. Thus, this research aims to explore the knowledge sharing activities among local and international postgraduate students at Universiti Utara Malaysia (UUM) as well as find the benefits and barriers through using social media tools during sharing knowledge. Data were collected through qualitative approach. A total of 12 postgraduate students were interviewed and received answers from them through semistructure interview. Interpretive analysis method was used to find the themes by using Nvivo software. The results for this study included four sections based on Nonaka and Takeuchi theory, in the socialization section the findings show the activities for students include exchange experience and perspective as well as confirmed the important of social media in overcome time, geographical distance and cost that is a barriers to share knowledge as well as provide more confident to share ideas for students. As well as, some barriers that still issues to sharing knowledge such as lack of math-symbol and culture. In externalization section, the findings show the design the diagram and document the files as activities as well as show the important of using social media in documentation to save the files and diagram online as well as enhance English language and protect from viruses. While the barriers include uploading limitation. In combination section the findings show the modification and reflection as activities among group member and show the benefit of social media during combine the work for assignment and project is easy to use and saving paper cost. While, the barriers is downloading limitation. In internalization section the findings show the review and reflection as activities among student. The benefits include create new idea and acquiring in depth understanding while lack of personal interaction and late in answering as barriers to share knowledge. This study contributed by using the Nonaka and Takeuchi model with higher educational institutions. In the same context, there is few empirical studies focused on the IT with share knowledge, therefore this research sought to add information into the literature by shed light the barriers and the benefits through utilize the new technologies for share know among the team work
Computational analysis of the flow field and noise radiationof a generic main landing gear configuration

This study investigates the flow field and acoustics of a generic four wheel main landing gear. The landing gear is an important airframe noise source during the approach phase. The characteristics of the flow field around the bogie area of the main landing gear are largely unknown. CFD simulations using the DES turbulence model have been used to calculate the unsteady flow field around a generic landing gear model. The surface pressure data has been sampled and used in a FW-H solver to determine far field noise levels. Two different landing gear models have been used, a simplified geometry and a more realistic complex geometry. Three different bogie angles have been simulated: horizontal bogie aligned with the flow, 10? toe up and 10? toe down. Strong streamwise vortices are generated at the front wheels of the landing gear. The trajectory of these vortices determines where the turbulent flow interacts with the downstream components. This interaction leads to surface pressure fluctuations which are a major noise source. The flow field of the simplified configurations shows a consistent trend of the trajectory of the streamwise vortices with respect to changes in bogie angle. The far field noise levels generated by the different components of the simplified configurations are related to the distance at which the streamwise vortices pass. The additional components of the complex landing gear geometry change the characteristics of the flow field. The strong streamwise vortices persist but they do not show the same trend as for the simplified configurations. The wake of the articulation link generates a turbulent in flow for the other components. The different characteristics of the flow field of the complex configurations lead to significant changes in the far field noise levels of the components compared to the simplified configurations.
Quercetin Abrogates Oxidative Neurotoxicity Induced by Silver Nanoparticles in Wistar Rats

This study aimed to investigate the oxidative neurotoxicity induced by silver nanoparticles (AgNPs) and assess the neuroprotective effects of quercetin against this toxicity. Forty adult male rats were divided into four equal groups: control, AgNPs (50 mg/kg intraperitoneally), quercetin (50 mg/kg orally), and quercetin + AgNPs. After 30 days, blood and brain tissue samples were collected for further studies. AgNP exposure increased lipid peroxidation and decreased glutathione peroxidase, catalase, and superoxide dismutase activities in brain tissue. AgNPs decreased serum acetylcholine esterase activity and γ-aminobutyric acid concentrations. AgNPs upregulated tumor necrosis factor-α, interleukin-1β, and Bax transcript levels. AgNPs reduced the transcripts of claudin-5, brain-derived neurotrophic factor, paraoxonase, nuclear factor-erythroid factor 2 (Nrf2), and Bcl-2. Histopathologically, AgNPs caused various degenerative changes and neuronal necrosis associated with glial cell reactions. AgNPs increased the immunohistochemical staining of glial fibrillary acidic protein (GFAP) in the cerebrum and cerebellum. Oral treatment with quercetin efficiently counteracted the opposing effects of AgNPs on brain tissue via modulation of tight junction proteins, Nrf2, and paraoxonase, and its positive mechanism in modulating pro-inflammatory cytokines and the downregulation of GFAP expression, and the apoptotic pathway. AgNPs also altered the severity of histopathological lesions and modulated GFAP immunostaining in the examined tissue.
METHOD OF CHOOSING A COMPETITIVE PRODUCT BASED ON THE EMOTIONAL COLOR OF THE CALLS

Other people’s opinions have always been an important piece of information for most of us in the decision-making process. The interest shown by users to online reviews and comments, as well as the potential impact of these comments on issues in discourse and decision-making, make them pay attention to this aspect of online activity. Finding the best products for sale is one of the most important stages in the process of creating a profitable company. That is why the choice of goods for an online store should be carried out deliberately, taking into account both the capabilities and analysis of prospects in the niche, as well as a number of other important parameters. One of the methods of choosing a competitive product may be the analysis of goods in marketplaces based on the emotional color of the calls. Product feedback research is an extremely popular topic, which is confirmed by the analysis of studies. Calls can be constantly reread, but when there are many goods in one segment, because there are more manufacturers, it is laborious. Therefore, the development of technology that will be able to automate this process is necessary for business sales. The article developed an intelligent method of choosing a competitive product based on the emotional color of the calls, which is divided into three blocks: a feedback parser, the definition of emotional coloring and the classification of calls. The findings will help retailers manage their websites wisely and help customers make product purchase decisions. In the next scientific researches, the implementation of the method will be carried out on the data of the Ukrainian site Rozetka. The classification of the most classical methods of classification based on machine learning will be carried out, namely Support Vector Classifier, Stochastic Gradient Decent Classifier, Random Forest Classifier, Decision Tree Classifier, Gaussian Naive Bayes, K-Neighbors Classifier, Ada Boost Classifier, Logistic Regression.
Molecular Detection of Equine Adenovirus 1 in Nasal Swabs from Horses in the Republic of Korea

Equine adenovirus 1 (EAdV-1) can cause upper respiratory disease in horses and has been reported worldwide. In this study, and for the first time in Korea, the prevalence of EAdV-1 in equine nasal swabs was investigated using a PCR to identify potential risk factors and examine the genetic diversity of its DNA sequences by a comparison with foreign strains. Nasal swabs collected from 359 horses reared at Korea Racing Authority facilities were tested using an EAdV-1 hexon-specific PCR and the associations between EAdV-1 infection and sex, age, region, breed, and activity were analyzed. Five samples (1.4%, 5/359) tested positive for EAdV-1; however, no statistically significant differences were observed with respect to any variable. Among the five EAdV-1-positive horses, a co-infection with equine influenza, equine herpesvirus 1 and 4, or Streptococcus equi was not detected; however, clinical respiratory signs were observed in one. Phylogenetic analyses based on partial EAdV-1 hexon gene sequences revealed that the Korean EAdV-1 isolates shared approximately 98.8–100% similarity among each other and with foreign strains. Three Korean isolates shared high similarity with strains from Australia and India and the remaining two isolates were separate in phylogenetic analyses. These findings highlight the molecular prevalence and genetic diversity of EAdV-1 in horses in Korea.
A Small Ultra-Wideband Unidirectional Microstrip Antenna for Through-Wall Radar Application

A portable through-wall radar needs a small size broadband antenna with a unidirectional radiation pattern. The antenna that meets these requirements is microstrip antenna. This paper explains an Ultra-Wideband (UWB) microstrip antenna that has been designed and manufactured for through-wall radar application. The design and simulation of the antenna were carried out with 3D electromagnetic simulator. The substrate material of the antenna was FR-4 with a dielectric constant of 4.3 and a thickness of 1.6 mm. The simulation results showed that the antenna had a 4.8 GHz of bandwidth ranging from 4.2 to 9 GHz, with a return loss less than -10 dB. The antenna dimension using FR-4 substrate is smaller than using Duroid 5880 with a dielectric constant 2.2. Additionally, the measurement results showed that the antenna had a 5 GHz of bandwidth ranging from 3.8 to 8.8 GHz, with a return loss less than -10 dB.
Stretchy Electrochemical Harvesters for Binarized Self-Powered Strain Gauge-Based Static Motion Sensors

The human monitoring system has motivated the search for new technology, leading to the development of a self-powered strain sensor. We report on the stretchable and soft stretchy electrochemical harvester (SECH) bilayer for a binarized self-powered strain gauge in dynamic and static motion. The active surface area participating in the electrochemical reaction was enhanced after stretching the SECH in the electrolyte, leading to an increase in the electrochemical double-layer capacitance. A change in the capacitance induced a change in the electrical potential of the bilayer, generating electrical energy. The SECH overcomes several challenges of the previous mechano-electrochemical harvester: The harvester had high elasticity (50%), which satisfied the required strain during human motion. The harvester was highly soft (modulus of 5.8 MPa), 103 times lower than that of the previous harvester. The SECH can be applied to a self-powered strain gauge, capable of measuring stationary deformation and low-speed motion. The SECH created a system to examine the configuration of the human body, as demonstrated by the human monitoring sensor from five independent SECH assembled on the hand. Furthermore, the sensing information was simplified through the binarized signal. It can be used to assess the hand configuration for hand signals and sign language.