Miracle-dz/UniFAR-FTUs huggingface dataset:
The Contribution of Exercise in Telemedicine Monitoring in Reducing the Modifiable Factors of Hypertension—A Multidisciplinary Approach

The aim of this review was to explore the contribution of physical activity and exercise in the control and reduction of modifiable factors of arterial hypertension in telemedicine programs, assuming a multidisciplinary perspective. Searches were carried out following the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-analyses), and the research question defined using the PICOS approach (Population, Intervention, Comparator, Outcomes, Study design). The search strategy applied the following terms: blood pressure OR hypertension AND exercise OR physical activity AND telemedicine. The initial search identified 2190 records, but only 19 studies were considered eligible after checking for the inclusion and exclusion criteria. The following training variables were generally included: heart rate and heart rate reserve, respiratory rate, rate of perceived exertion and oxygen consumption, but no resistance training variables were found. The significant improvements on blood pressure parameters of participants diagnosed with hypertension tended to be transient. The exercise prescription was commonly based on general instructions and recommendations for exercise and hypertension. On the other hand, most of the studies including patients in cardiac rehabilitation programs used a personalized training program based on a baseline assessment, particularly following a cardiopulmonary exercise test. The inclusion of exercise professionals in multidisciplinary teams could provide a more person-oriented approach and the long-term maintenance of a healthy lifestyle.
PREVENTION OF DENIAL OF SERVICE ATTACK ON DYNAMIC SOURCE ROUTINGVANET PROTOCOL

Vehicular Ad Hoc Network (VANET) is a kind of Wireless Ad hoc Network in which node has high mobility, and thus the topology of the network is highly dynamic. VANET has thepotential to increase road safety, improve traffic efficiency as well as comfort to both drivers and passengers. There are different types of attacks possible on VANET. In this paper, implementation and prevention of DOS attack is done on topology based protocol- Dynamic Source Routing (DSR). The performance of DSR protocol is evaluated under different scenarios using Network Simulator (NS2), Simulation of Urban Mobility (SUMO) simulator and Mobility model generator for Vehicular networks(MOVE). The prevention scheme Queue Limiting Algorithm (QLA) proposed by Sinha & Mishra is implemented to prevent Denial of Service attack. The results show that DSR has high throughput and packet delivery ratio at low density of nodes and the value of these parameters become low at high density of nodes. The prevention scheme is capable to prevent DOS attack.
Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events

A Bayesian dynamic linear model (BDLM) framework for data modeling and forecasting is proposed to evaluate the performance of an operational cable-stayed bridge, that is, Ting Kau Bridge in Hong Kong, by using SHM strain field data acquired. One of the major challenges in dealing with the existing in-service bridge under extreme typhoon loads is to forecast structural behavior using the typhoon response exhibiting non-stationarity, large data fluctuations and strong randomness. The first attempt for SHM data modeling during extreme events, that is, typhoons, using BDLM framework, was conducted in this study. The data from multiple sensors are analyzed for one-step, multi-step ahead forecasting and missing data imputation. The overall bridge behavior is incorporated into a forecasting model by superposition of forecasting results of trend (representing the structural baseline response), periodic component (response component evolving regularly over time), and autoregressive component (time-dependent error) through BDLM algorithm. The results demonstrate that the BDLM framework yielded more accurate calculations compared with Gaussian process and Variational Heteroscedasticity Gaussian Process methods with respect to one-step ahead forecasting for strain data under typhoons. Multi-step ahead forecasting was successfully carried out both for non-typhoon and typhoon responses within an acceptable precision range. The correlation between periodic component and temperature was also investigated. Regarding missing data imputation, BLDM algorithm can generate robust results due to making full use of the monitoring data both before and after the missing segments.
Selling New Jersey Landowners on Living Shorelines as the Superior Method for Coastline Protection

Living Shorelines (LS) refer to the combined use of man-made and natural materials to build a resilient and ecologically vibrant shore. LS are an emerging alternative to hardened shorelines (HS), which employ engineered structures to reinforce eroding shorelines. LS better protect coastlines against erosion and flooding, which are of increasing concern due to climate change and rising sea levels. New Jersey (NJ) is a leader in LS policy, but lack of knowledge regarding these structures hinders further LS implementation. Progress has been made to reduce regulatory hurdles for LS projects. However, decision-making power rests with many private property owners (PO) who default to familiar approaches, like HS. Therefore, we advise the NJ state legislature to encourage LS development by appropriating funds to the NJ Department of Environmental Protection or other relevant agencies to conduct an awareness campaign in key coastal communities. Additionally, PO can be incentivized to convert from HS to LS by restructuring the existing NJ Shoreline Protection Fund. This proactive intervention will provide environmental benefits, in addition to protecting the coastline of NJ.
Improved Thermal and Electromagnetic Shielding of PEEK Composites by Hydroxylating PEK-C Grafted MWCNTs

With the rapid rise of new technologies such as 5G and artificial intelligence, electronic products are becoming smaller and higher power, and there is an increasing demand for electromagnetic interference shielding and thermal conductivity of electronic devices. In this work, hydroxyphenolphthalein type polyetherketone grafted carboxy carbon nanotube (PEK-C-OH-g-MWCNTs-COOH) composites were prepared by esterification reaction. The composites exhibited good thermal conductivity, and compared with (MWCNTs-COOH/PEEK) with randomly distributed fillers, (PEK-C-OH-g-MWCNTs-COOH) composites showed a significant advantage, with the same carbon nanotube content, the thermal conductivity of PEK-C-OH-g-MWCNTs-COOH/PEEK (30 wt%) was 0. 71 W/(m-K), which was 206% higher than that of PEEK and 0.52 W/(m-K) higher than that of MWCNTs-COOH/PEEK (26.1 wt%). In addition, the PEK-C-OH-g-MWCNTs-COOH) composite exhibited excellent electrical conductivity and electromagnetic shielding (SE). The SE of 30 wt% PEK-C-OH-g-MWCNTs-COOH/PEEK is higher than the commercially used standard whose value is 22.9 dB (8.2 GHz). Thus, this work provides ideas for the development of thermally conductive functionalized composites.
Computer-aided discovery, design, and investigation of COVID-19 therapeutics

Coronavirus disease 2019 (COVID-19) pandemic is currently the most serious public health threat faced by mankind. Thus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, is being intensively investigated. Several vaccines are now available for clinical use. However, owing to the highly mutated nature of RNA viruses, the SARS-CoV-2 is changing at a rapid speed. Breakthrough infections by SARS-CoV-2 variants have been seen in vaccinated individuals. As a result, effective therapeutics for treating COVID-19 patients is urgently required. With the advance of computer technology, computational methods have become increasingly powerful in the biomedical research and pharmaceutical drug discovery. The applications of these techniques have largely reduced the costs and simplified processes of pharmaceutical drug developments. Intensive and extensive studies on SARS-CoV-2 proteins have been carried out and three-dimensional structures of the major SARS-CoV-2 proteins have been resolved and deposited in the Protein Data Bank. These structures provide the foundations for drug discovery and design using the structure-based computations, such as molecular docking and molecular dynamics simulations. In this review, introduction to the applications of computational methods in the discovery and design of novel drugs and repurposing of existing drugs for the treatments of COVID-19 is given. The examples of computer-aided investigations and screening of COVID-19 effective therapeutic compounds, functional peptides, as well as effective molecules from the herb medicines are discussed.
High Quality Factor Lamb Wave Resonators

High Quality Factor Lamb Wave Resonators by Jie Zou Master of Science in Electrical Engineering and Computer Sciences University of California, Berkeley Professor Albert P. Pisano, Chair The small-in-size and CMOS compatible micro-electromechanical system (MEMS) resonators are likely to be the driving core of a new generation of devices such as radio frequency (RF) filters and timing references. Thanks to the CMOS compatibility, ability of high frequencies, low motional impedances (Rm), small frequency-induced drifts, and capability of multiple frequencies operation on a single chip, the aluminum nitride (AlN) Lamb wave resonators have attracted attention among various micromechanical resonator technologies. The lowest-order symmetric (S0) Lamb wave mode in an AlN thin plate is particularly preferred because it exhibits high acoustic phase velocity, a low dispersive phase velocity characteristic, and a moderate electromechanical coupling coefficient. In this report, basic analysis of the Lamb waves propagating in AlN and the device design techniques are presented in detail. Then, a novel technique to enhance the quality factor (Q) of Lamb wave resonator by utilizing an AlN plate formed in a butterfly shape is investigated in this paper. In the conventional design, the Q’s of the micromachined Lamb wave resonators are largely harmed by the energy dissipation through the support tethers. The finite element analysis (FEA) simulation results show that the butterflyshaped topology can efficiently change the displacement field in the AlN plate and reduce the vibration in the support tethers. The unloaded Q of the resonator is raised from 3,360 to 4,758 by simply using of the butterfly-shaped AlN plate with a tether-to-plate angle α = 59o, representing a 1.42× increase. The experimental Q’s are also in good agreement with the anchor loss Q’s computed using the PML-based FEA method. __________________________________________ Professor Albert P. Pisano, Chair Date
Measurement algorithm of notch length of plastic parts based on video

A method for measuring the notch length of plastic parts without stopping the machine in real-time industrial environment is proposed, which can be used to measure the notch length on the assembly line. A camera is used for capturing the live images of plastic images being moving straightly. Firstly, invalid frames, clear and blurred keyframes are preprocessed respectively. Then, for the processed keyframes, the corner extraction algorithm based on contours are used to obtain all corner points and pixel length of notch. Finally, the actual length is calculated by setting constraints on positional parameters. When tested in industrial environment, our algorithm can extract the corner points and calculate the notch length accurately and quickly. The average error of corner extraction is about 0.4%, and the measurement error of notch length is less than 1%. Compared with other methods, the algorithm has the advantages of speed and accuracy in dealing with rectangular plastic notches.
Effects of the G48M mutant on the dynamics properties and binding mechanism of PR with SQV and ATV

ABSTRACT The resistance of HIV-1 protease (PR) mutations seriously affects the efficiency of current drugs in the clinical treatment of AIDS. Therefore, it is important to understand the resistance mechanism of mutated residues for the development of PR inhibitors. In this work, the mechanism of G48M mutant PR to inhibitors Saquinavir and Atazanavir was studied by using molecular dynamics simulation combined with free energy prediction. The analysis results showed that, compared with the WT PR, the distance of the flap tip from the protease catalytic binding site and the dihedral angles in the flap regions in the mutant type complexes was changed. These changes resulted in a significant reduction in the occupancy of most of the hydrogen bonds in the mutant complex and the interaction energy of key residues with the inhibitor, which is the main reason for the resistance of the mutation to these inhibitors. This study can provide important guidance for the design of effective inhibitors against HIV-1 PR.
Automated Serial Sampling in Hummingbirds Obviates Laborious Ecological Studies of Behaviourally Induced Rises in Departure Stores

I examined the feasibility of automating the collection of free-ranging hummingbird mass data facilitated by low-cost, low-power radio frequency identification (RFID) technology. Wild hummingbirds were captured, subcutaneously implanted with passive integrated transponder (PIT) tags, and released. Detection of tagged hummingbirds perched on balances at feeder stations outfitted with RFID readers initiated the recording of masses at regular intervals, continuing for as long as the birds remained. Mass data showed consistent trends at multiple temporal scales: the individual feeder visit, single days, and whole seasons. Using these data, I modelled changes in foraging behaviour during the morning, mid-day and evening, and examined rates of overnight mass change to determine how wild hummingbirds achieve premigratory fattening. Premigratory hummingbirds increased the duration of visits and thus total time spent at the feeders during the mid-day only and exhibited greater use of overnight torpor, as evidenced by a reduced rate of overnight mass loss.
A class-C VCO based Σ–Δ fraction-N frequency synthesizer with AFC for 802.11ah applications

A 1.4–2 GHz phase-locked loop (PLL) Σ–Δ fraction-N frequency synthesizer with automatic frequency control (AFC) for 802.11ah applications is presented. A class-C voltage control oscillator (VCO) ranging from 1.4 to 2 GHz is integrated on-chip to save power for the sub-GHz band. A novel AFC algorithm is introduced to maintain the VCO oscillation at the start-up and automatically search for the appropriate control word of the switched-capacitor array to extend the PLL tuning range. A 20-bit third-order Σ–Δ modulator is utilized to reduce the fraction spurs while achieving a frequency resolution that is lower than 30 Hz. The measurement results show that the frequency synthesizer has achieved a phase noise of < −120 dBc/Hz at 1 MHz offset and consumes 11.1 mW from a 1.7 V supply. Moreover, compared with the traditional class-A counterparts, the phase noise in class-C mode has been improved by 5 dB under the same power consumption.
Technical Review of Wireless Sensor Network a nd its Protocol

Wireless Sensor Network is network of numerous wireless sensor nodes. Wireless sensor network has many issues like energy consumption, security etc. Current trend of wireless sensor network is widely used in different field like battle - field, education and organization etc. This paper review different types of protocols of wireless sensor network l ikes LEACH, GEAR, TEEN and SPIN . We analyze all the ch aracteristics of these protocols. And here we compare all protocol and finds some issue in SPIN protocol. Therefore, this study indicates the possibility of developing a potential useful classification using Time Synchronization with clock drift to overcom e issue.
Precision calorimetry for the accurate measurement of inverter losses

High precision calorimetry permits the direct measurement of losses in power electronic systems. This paper describes improvements to the design of a double- jacketed, closed type calorimeter in order to make these measurements. Calibration tests have confirmed that the new design can measure losses to an accuracy of better than 0.5 W in 200 W. This calorimeter has been used to verify the accuracy of models for inverters for use in variable speed drives for domestic appliances. Verification has been undertaken at a range of switching frequencies and confirms the ability of the models to predict inverter performance without recourse to physical prototypes.
Austerity in the United Kingdom and its legacy: Lessons from the COVID-19 pandemic

The COVID-19 pandemic revealed that public institutions and some households in the United Kingdom (UK) were in a vulnerable and weak financial position to mitigate its immediate outcomes. Public institutions did not have the necessary resources to support their communities and low-income groups were disproportionally affected by the economic contraction of 2020–2021. This paper explores how the disastrous consequences of the pandemic were exacerbated by the implementation of an austerity programme, that as an extension of a neoliberal ideology, supported the development of the market at the expense of reducing the welfare state. Through an assessment of four trends that were reinforced during austerity—the four ‘Ds’—this article shows that austerity influenced many of the struggles observed during the pandemic. These trends are disinvestment, decentralisation, decollectivisation and disintegration. Despite the lessons learnt in 2020–2021 and the evident need to move away from a neoliberal agenda that dismantled the capacities of the state, this article concludes that neoliberalism continues to threaten the welfare state and the formation of social collectivities. Some expenditure decisions taken by the British government in 2020–2021 could further deepen social class divisions and regional inequalities. More is needed from the government to tackle these social problems and to build a fairer and more equal society. JEL Codes: H0, I3, O1
Aerobic and anaerobic methane oxidation in a seasonally anoxic basin

Shallow coastal waters are dynamic environments that dominate global marine methane emissions. Particularly high methane concentrations are found in seasonally anoxic waters, which are spreading in eutrophic coastal systems, potentially leading to increased methane emissions to the atmosphere. Here we explore how the seasonal development of anoxia influenced methane concentrations, rates of methane oxidation, and the community composition of methanotrophs in the shallow eutrophic water column of Mariager Fjord, Denmark. Our results show the development of steep concentration gradients toward the oxic–anoxic interface as methane accumulated to 1.4 μM in anoxic bottom waters. Yet, the fjord possessed an efficient microbial methane filter near the oxic–anoxic interface that responded to the increasing methane flux. In experimental incubations, methane oxidation near the oxic–anoxic interface proceeded both aerobically and anaerobically with nearly equal efficiency reaching turnover rates as high as 0.6 and 0.8 d−1, respectively, and was seemingly mediated by members of the Methylococcales belonging to the Deep Sea‐1 clade. Throughout the period, both aerobic and anaerobic methane oxidation rates were high enough to consume the estimated methane flux. Thus, our results indicate that seasonal anoxia did not increase methane emissions.
Re-thinking music education partnerships through intra-actions

ABSTRACT Music education in England has been in a state of flux for a number of years due to the complexities and variability of its delivery. Many of the issues surrounding music education in England are associated with policy and practice in schools, and the complexities of funding and deployment of music activities. This creates contextual, structural and political boundaries, especially on partnership work that seeks to join up provision. This paper presents findings from a four-year longitudinal project that aimed to explore the role of partnership work between schools and out-of-school music providers. It also critiques structural issues and limitations of music education in England, offering new insight and resolutions. Methodologically there has been an emerging interest in diffractive approaches and the intra-actions they produce (Barad [2007] Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning. Durham, NC: Duke University Press; Haraway [2008] When Species Meet. Minneapolis: University of Minnesota Press). An important part of the paper is to outline the importance of these novel methodologies that go beyond reflection and raise important questions regarding the role of diffractive and intra-active processes in education research projects. This is a novel consideration, which is pertinent for music education research internationally. The paper concludes with a reconceptualisation of partnership work, and new theoretical underpinnings for future partnerships.
Chip-Level Electrothermal Stress Calculation Method of High-Power IGBT Modules in System-Level Simulation

Although with good robustness, insulated gate bipolar transistor (IGBT) modules suffer from catastrophic failures due to excessive electrothermal stress in field use. In view of the coupled and multitimescale electrothermal dynamics of IGBT modules, the conventional simulation methods are difficult to calculate the stresses accurately and efficiently. Therefore, this article proposes an artificial neural network (ANN) based method to calculate the chip-level stress of IGBT modules in system-level circuit simulation. The first contribution in this article is that the research focus goes from the entire device to chips within the device. Correspondingly, the uneven dynamic current and thermal coupling effects among chips are fully considered based on the established uneven power loss and three-dimensional (3-D) thermal models. The second one is to solve the contradiction between simulation efficiency and accuracy in multitimescale operation analysis through the joint application of IGBT physical model and ANN. The third one is to propose the complete chip-level stresses calculation and automated modeling processes, based on multisoftware cosimulation. An inverter experimental prototype was established to verify the accuracy of the proposed calculation method. The comparison results show that the method can accurately describe the transient junction temperature, overcurrent and overvoltage stresses, thus providing an effective support for the safety design of converters.