Miracle-dz/UniFAR-FTUs huggingface dataset:
Instruction in 802.11 Technology in Online Virtual Labs

Contribution: A novel approach to remote instruction in 802.11 technology is described using the virtual lab technology. Background: Lab-based education has been a staple of computing education for decades. By interacting with the technology, students are able to gain a much greater understanding of the subject through hands-on activities. Recently, virtual labs have provided a mechanism to allow both co-located and online students access to these lab environments without the time, space, and monetary constraints of traditional labs. Computer networking and security is one area where virtual labs provide a highly useful testbed for learning security concepts. One problem is implementing virtual educational labs pertaining to 802.11 technologies given the inherently physical location-based nature of the wireless medium. Intended Outcomes: This article builds on work by others by developing and testing a new hybrid physical/virtual lab to enable students to learn concepts pertaining to 802.11 networking technologies remotely in a virtual lab setting. Application Design: The virtual lab environment uses the ESXi virtualization technology coupled with arrays of USB 802.11 adapters to enable the use of 802.11 technologies remotely. Findings: The experimental results show the proposed system to be as effective as a traditional physical lab environment with regards to usefulness, ease of use, satisfaction, self-efficacy, and exercise completion time.
Has immigration contributed to the rise of right-wing extremist parties in Europe?

Alongside a range of already well documented factors such as deindustrialization, technological progress and international trade, a series of recent empirical econometric studies show that immigration has contributed to the rise of extreme right-wing parties in Europe. Our study highlights, however, that there is no mechanical link between the rise of immigration and that of extreme right-wing parties. Exploiting French presidential elections from 1988 to 2017, we show that the positive impact of immigration on votes for extreme right-wing parties is driven by low-skilled immigration and immigration from non-European countries. Our results moreover show that high-skilled immigration from non-European countries has a negative impact on extreme right-wing parties. These findings suggest that the degree of economic and social integration of immigrants plays an important role in the formation of anti-immigrant sentiment. Fostering integration should therefore reduce negative attitudes toward immigrants and preserve national cohesion at a time when the economic consequences of the Covid-19 pandemic could reinforce mistrust and xenophobia.
The Fast Attitude Estimation Method Based on Quaternion and Generalized Multivectors

Aiming at the problem of low output accuracy and large attitude measurement error of a micro-electromechanical systems (MEMS) inertial sensor, a fast attitude estimation method based on quaternion and generalized multivectors is proposed. In the algorithm, the attitude estimation method based on the deterministic vector with only one nonzero element is analyzed. Then, by constructing a new deterministic vector, the attitude updating equations are analyzed for the case that the deterministic vector contains two nonzero elements and three nonzero elements. In this article, all forms of the deterministic vectors are analyzed, and the attitude updating equations are analyzed according to the different deterministic vectors. In view of the existence of measurement noise and measurement interference in the observations of the deterministic vectors, this algorithm provides a compensation method. The experimental results show that the method has high accuracy and efficiency.
Amelioration of Hepatic Lipid Peroxidation and Insulin Sensitivity by an Ethanolic Extract of Moringa o leif era in Non-Alcoholic Fatty Liver Disease (NAFLD) in Rats

The study is to evaluate the potential of ethanolic ext ract of Moringa oleifera (EEM O) in ameliorating biochemical ano malies associated with Non-Alcoholic Fatty Liver Disease (NAFLD). Rats were fed 5 ml of h igh fat emu lsion (HFE) for three weeks to induce NAFLD. Rats in Groups 3,4,5,and 6 were ad ministered 5ml of high fat emu lsion (HFE) daily for 3 weeks and subsequently administered 100, 200, 300 mg/ kg of EEMO and 30 mg/kg pioglitazone (PG) respectively. NAFLD induction resulted in significant increase in hepatic and seru m triacylg lycerols (TA G) and cholesterol (CHOL) levels when co mpared with control, wh ile treat ment with EEMO resulted in significant reduction. NAFLD induction had no significant effects on hepatic reduced glutathione (GSH) and catalase activity. There was a significant increase in activity of Supero xide Dis mutase (SOD) and malondialdehyde (MDA) level, signify ing the existence of hepatic lipid peroxidation. There was also a significant increase in Ho meostasis Model Assessment for insulin resistance (HOMA-IR), serum insulin and fasting blood glucose (FBG) levels, suggesting diminished insulin sensitivity. Admin istration of EEM O resulted in decrease SOD act ivity in a dose dependent fashion when compared with FBG. A similar effect was seen with the levels of MDA, insulin, FBG and HOMA-IR. These findings suggest that EEM O imp rov es the hepatic status of animals with NAFLD .
Incidence and Microbiology of Catheter Associated Urinary Tract Infection in Hospitalized Patients in a Tertiary Care Hospital in Kumaon Region

Catheter-associated urinary tract infection (CAUTI) is a major preventable cause of in-hospital morbidity and urinary catheterization is the most common risk factor of UTI. In this tertiary care institute, we have studied the incidence, microbiology, and the antibiotic sensitivity pattern in catheterized patients. All hospitalized patients in the General Surgery Department of any age group or sex undergoing catheterization (>48 hours) were studied. 1724 catheterized patients have analyzed during the study phase and out of which 246 patients had culture-positive UTI (incidence rate-14.26%). The most common predisposing factor identified as obstructive uropathy (24.8%) followed by malnourishment, other chronic illnesses, and previous history of surgeries. Most common organism E.coli (52%) was isolated and sensitive antibiotic was fosfomycin (92.7%).
Mesoporous Tyrosine Functionalized BTC-ZnO Composite for Highly Selective Capacitive CO Sensor

Drop-casting is a simple deposition technique where a slurry-like solution of nanomaterial is coated on small substrates, which are then allowed to dry under controlled temperature and pressure ambience. The present work focuses on the tyrosine functionalized benzene-tri-carboxyamide (Tyr-BTC) and ZnO composite based sensor deposited using drop-cast method for sensing carbon monoxide (CO) at room temperature. The composition of the composite surface was varied by altering the molar concentration of the constituents. The performance of the mesoporous structures in room temperature gas sensing was studied for the CO concentration range of 5–300 ppm in synthetic air. The highly amplified gas sensing response of approximately 94% at 300 ppm of CO by Tyr-BTC-ZnO in molar concentration 2:3 of Tyr-BTC-ZnO was observed. The improvement in the capacitance change, quicker response time, good linearity and reversibility was attributed to the synergistic effect between ZnO and tyrosine functionalized BTC.
Preliminary Assessment of a Coupled Dynamic-Energy Budget and Agent-based Model (DEB-ABM) for Predicting Individual and Population-Level Dynamics: A Case Study on Anchovy, Engraulis japonicus

Baochao Liao1,2, Xiujuan Shan2,3* and Yunlong Chen2,3 1Department of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China 2Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China 3Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China Article Information Received 22 February 2020 Revised 04 April 2020 Accepted 23 April 2020 Available online 04 September 2020
A High-Efficiency Double-Layer Transmitarray Antenna Using Low-Loss Dual-Linearly Polarized Elements

A high-efficiency double-layer transmitarray (TA) operating at 14.25 GHz is proposed using low-loss dual-linearly polarized elements. Each element comprises only two layers of patches printed on a dielectric substrate and four vias. Cross dipoles and spiral dipoles with four L-shaped patches are used as the first and second unit cells, respectively. L-shaped patches are employed to increase the transmission magnitude. The phase shift range is 360° for a transmission magnitude of −1 dB. A square TA composed of 400 elements is designed, manufactured, and tested to verify the design. The simulated results are consistent with the experimental results. The experimental results show that the TA has a gain of 29.18 dBi at 14.25 GHz, an aperture efficiency of 60.3%, and a 1 dB gain bandwidth of 6.8%.
The role of complete blood count parameters in diagnosing acute appendicitis and measuring the severity of inflammation.

BACKGROUND The diagnosis and severity of acute appendicitis (AA) are still challenging despite all the improvements in diagnosis and treatment. This study aimed to evaluate the efficacy of complete blood count (CBC) parameters in diagnosing AA and measuring severity. METHODS Data of 521 patients were reviewed retrospectively. Fifty-three patients with CBC results influenced by various reasons were excluded from the study. Age, gender, length of stay, CBC parameters, and histopathological results were examined. RESULTS The study included 468 patients: 90 patients with a preliminary diagnosis of AA, not undergoing surgery but receiving medical treatment (Group I), 227 patients with uncomplicated appendicitis (Group II), and 151 patients with complicated appendicitis (Group III). Of the patients, 279 were male (59.6%) and 189 were female (40.4%). The mean age was 33.37±13.05 years. Groups I and III had the lowest and highest white blood cell (WBC), neutrophil, and neutrophil-to-lymphocyte ratio (NLR), respectively. There was a statistically significant difference between the groups (p<0.05). The highest and lowest mean platelet volume (MPV) values were in Groups II and III, respectively. There was no statistically significant difference between the groups (p>0.05). CONCLUSION AA is the most common cause of abdominal surgery. The CBC is a cost-effective and easily-accessible test with acceptable diagnostic accuracy. It provides fast results and can be used in the diagnosis of appendicitis. Neutrophil, WBC, and NLR are helpful and useful parameters for physical examination and other diagnostic methods in diagnosing AA and measuring severity. However, the use of MPV is not recommended as it has a low diagnostic rate and contradictory results.
MRC-Based Double Figure-of-Eight Coil Sensor System With Triple-Mode Operation Capability for Biomedical Applications

Efficient wireless power transmission to a designated location can reduce the size of implantable device and save source energy, but the receiver coil and rectifier circuit still occupy a large area. This paper proposes a novel magnetic resonant coupling (MRC)-based double figure-of-eight coil sensor system to induce and monitor heat. Implantable devices could obtain energy from the surrounding electric field or heating effect. The fundamental of generating the heating effect by the proposed coil-based sensor system is derived, and conceptual system architecture is built. Then the radiating coil is analyzed in terms of Litz-wire coil optimization, lumped parameter extraction, impedance-matching network, equivalent circuit model, and coupling coefficient. Considering the current ratio, operating frequency, and designated location, the triple-mode operation mechanism is analyzed for the first time to adjust superposed electromagnetic fields at the designated location. At the odd-mode resonance, the electric field intensity in the middle between two figure-of-eight coils is significantly improved. Finally, the physical prototype of proposed coil-based sensor system is built up and experiments are conducted to test the currents in both figure-of-eight coils as well as the induced voltage and temperature change in the in-vitro sample by using the electrode sensor and thermocouple sensor. Measurements validate the feasibility of the proposed coil-sensor system. It also provides essential guidance on designing sensors for deep-tissue stimulation and hyperthermia treatment.
A Hybrid, Fully-Integrated, Dual-Output DC–DC Converter for Portable Electronics

This article describes a hybrid, dual-output dc–dc converter suitable for low-power application. It consists of inductor based subconverter providing one output, which is cascaded with a switched-capacitor based subconverter providing the second output. The converter uses bondwire inductance, and on-chip metal-oxide-semiconductor (MOS) capacitance to realize the passive components making it a fully-integrated solution. For target specification of output voltage levels, and input voltage range, the stepped-up output is generated by the inductor-based, high-frequency, voltage-mode boost converter. And, a switched capacitor based, frequency-controlled step-down converter generates the second output. The hybrid converter uses a <inline-formula><tex-math notation="LaTeX">$\pi$</tex-math></inline-formula>-filter to attenuate the switching ripple to an acceptable value. The filter also helps to isolate the internal ground from the noisy power ground connected to boost converter power stage. By the virtue of time-interleaved switching pattern, switching noise induced in its supply rails by the S-C stage is significantly less, which makes the S-C stage an equivalent quiescent load to the boost stage. A prototype of the proposed hybrid converter has been designed, and implemented in 0.18-<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m CMOS process. It consumes 0.82 mm<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> area, and provides <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>1.45 V, and 3.2 V from an input voltage varying from 1.2 V to 2.7 V at an efficiency <inline-formula><tex-math notation="LaTeX">$>$</tex-math></inline-formula> 52% (maximum 77%) for all load conditions.
Underwater Mobile Manipulation: A Soft Arm on a Benthic Legged Robot

Robotic systems that can explore the sea floor, collect marine samples, gather shallow water refuse, and perform other underwater tasks are interesting and important in several fields, from biology and ecology to off-shore industry. In this article, we present a robotic platform that is, to our knowledge, the first to combine benthic legged locomotion and soft continuum manipulation to perform real-world underwater mission-like experiments. We experimentally exploit inverse kinematics for spatial manipulation in a laboratory environment and then examine the robot’s workspace extensibility, force, energy consumption, and grasping ability in different undersea scenarios.
Guidelines for sampling and analyzing solutions from aquifer thermal-energy-storage systems

The successful aquifer storage and retrieval of energy in the form of heated or chilled water require that the engineered system be compatible with the natural ground-water system. The composition of the ground water must be well known to predict and avoid potential problems that heating or cooling the water may create for operation of the plant. This paper presents a set of guidelines for sampling and analyzing solutions from simulated or real groundwater energy storage systems. Sampling guidelines include methods for flushing wells of stagnant water and monitoring selective solution parameters (pH, Eh, temperature or conductivity) as indicators of the efficiency of flushing. Certain unstable groundwater parameters (temperature, pH, Eh, dissolved oxygen, and conductivity) should be measured onsite. It is recommended that alkalinity, sulfide, and ammonia determinations be done within 24 hr of sampling. In addition to these field measurements, samples of the ground water should be filtered, preserved, and stored for laboratory analysis of major cations, anions, trace metals, organic and inorganic carbon and certain redox couples (Fe/sup 2 +//Fe/sup 3 +/ and As/sup 3 +//As/sup 5 +/). The final results of the analysis should be verified by computing the cation-anion balance and comparing measured conductivity with themore » solution analysis. « less
Developing Conductive Fabric Threads for Human Respiratory Rate Monitoring

Real-time monitoring of the respiration rate in everyday life enables the early detection of various diseases and disorders that can cause a life-threatening incident. In this article, a passive sensor for real-time monitoring of the human respiration rate is proposed. The sensor is deployed on a chest strap to accurately acquire the respiration rate data and display it on a smartphone through Bluetooth communication. The sensor consists of a stretchable fabric substrate impregnated with silver Nano-particles through drop-casting at ambient conditions. The proposed passive sensor provides a change in electrical resistance against applied strain due to shrinkage of the conducting threads and resets to the initial resistance value when released. The resistance modulation phenomenon is exploited for the respiration sensing application. The demonstrated sensor is <inline-formula> <tex-math notation="LaTeX">$4\times 20$ </tex-math></inline-formula>mm2, however, the dimensions can be changed according to the application and requirements. At rest position, resistance is <inline-formula> <tex-math notation="LaTeX">$180\Omega $ </tex-math></inline-formula> and at 16% stretching, the resistance goes down to <inline-formula> <tex-math notation="LaTeX">$70\Omega $ </tex-math></inline-formula>. The proposed device is characterized by mechanical, electrical, and surface morphology. The proposed sensor can be a good candidate for the respiration sensing application in wearable electronics.
Students’ Views on Public Transport: Satisfaction and Emission

Overall satisfaction is an emotional response to a perceived discrepancy between expectations and perceptions. Overall satisfaction is more of a holistic affective construct after a service delivery experience, while transaction-specific satisfaction refers to attribute-based cognitive evaluation of service encounters. The authors investigated which particular attributes of public transport service drive satisfaction of customers, contributing to public transport becoming more sustainable. The questionnaire used in this research was constructed based on Benchmarking in European Service of Public Transport (BEST). The respondents belonged to the group of younger users of public transport services. Correlation analysis, factor analysis, and regression analysis were used in data processing and interpretation. Results obtained from the research show that young people emphasize the importance of on-line information, comfort, and prices of the public transportation. This paper not only provides insight into expectations of public transport users, but also investigated the potential decrease in CO2 and PM emissions when private vehicles are substituted with the public transport.
Perceptions of Race and Leadership in Early Childhood Education

The aim of this research is to examine the perceptions of leadership and race by African American current and or former decision makers within Early Childhood Education programs. This phenomenological study will explore African American leaders’ views, attitudes, and beliefs about race pertaining to leadership, children, and themselves. The examination of race within educational leadership is not a new concept; however, with the increased attention now given to early education, it is imperative that issues related to improving learning outcomes for all children are addressed. Perceptions of Race and Leadership 4
Video smoke detection with block DNCNN and visual change image

Smoke detection is helpful for early fire detection. With its large coverage area and low cost, vision-based smoke detection technology is the main research direction of outdoor smoke detection. We propose a two-stage smoke detection method combined with block Deep Normalization and Convolutional Neural Network (DNCNN) and visual change image. In the first stage, each suspected smoke region is detected from each frame of the images by using block DNCNN. According to the physical characteristics of smoke diffusion, a concept of visual change image is put forward in this paper, which is constructed by the video motion change state of the suspected smoke regions, and can describe the physical diffusion characteristics of smoke in the time and space domains. In the second stage, the Support Vector Machine (SVM) classifier is used to classify the Histogram of Oriented Gradients (HOG) features of visual change images of the suspected smoke regions, in this way to reduce the false alarm caused by the smoke-like objects such as cloud and fog. Simulation experiments are carried out on two public datasets of smoke. Results show that the accuracy and recall rate of smoke detection are high, and the false alarm rate is much lower than that of other comparison methods.
A Low-Profile High-Gain Slotted Waveguide Antenna Array With Grooved Structures

This letter reports the development of a low-profile and high-gain slotted waveguide antenna array, aiming the FR2 5G frequency range and operating in the 26 GHz band. The proposed array relies on 27-sloped slots, positioned onto the WR28 standard waveguide broadside wall with six pairs of metal grooved structures placed parallel to its axis. Experimental results demonstrate the achievement of 3.41% fractional bandwidth from 25.88 to 26.78 GHz, 27.7 dBi gain and half-power beamwidths in the azimuth and elevation planes equal to 10° and 3°, respectively. The use of metal-grooved structure realizes a gain enhancement of 9 dB, and results in a high-gain antenna array, which is based on a very simple and unique excitation.
Respiratory losses in the light in a marine diatom: Measurements by short-term mass spectrometry. [Thalassiosira weisflogii]

Mass spectrometric analysis of gas exchange by the diatom Thalassiosira weisflogii grown under 12:12 L/D cycles indicates that mitochondrial respiration is highest in the light, averaging 54 {mu}mol O{sub 2}(mg Chl {alpha}){sup {minus}1} h{sup {minus}1} while gross photosynthesis was 162 {mu}mol O{sub 2}(mg Chl {alpha}){sup {minus}1} h{sup {minus}1}. In the dark, mitochondrial O{sub 2} consumption slowly decreased to a minimum of 29 {mu}mol(mg Chl {alpha}){sup {minus}1} h{sup {minus}1} at the end of scotophase. When cells were poised at the DIC (dissolved inorganic carbon) compensation point in the light (DIC concentration where net photosynthesis equals zero), mitochondrial O{sub 2} consumption was only slightly higher than in the dark. Adding DIC to cells at the compensation point resulted in a rapid increase in both photosynthetic O{sub 2} evolution and mitochondrial O{sub 2} consumption, indicating that the higher mitochondrial respiration rates observed in the light are probably due to an increase in substrate supply from photosynthesis. If estimates of primary production are based on oxygen exchange, this effect is accounted for; however if radiocarbon is used to measure production, especially in short-term measurements, net production may be significantly overestimated.