Miracle-dz/UniFAR-FTUs huggingface dataset:
Cusp-overlap view reduces conduction disturbances and permanent pacemaker implantation after transcatheter aortic valve replacement even with balloon-expandable and mechanically-expandable heart valves

Background Conduction disturbances demanding permanent pacemaker implantation (PPI) remain a common complication after transcatheter aortic valve replacement (TAVR). Optimization of the implantation depth (ID) by introducing the cusp-overlap projection (COP) technique led to a reduced rate of PPI when self-expanding valves were used. Objectives The aim of the present study was to determine if using the novel COP view is applicable for all types of TAVR prosthesis and results in a higher ID and reduced incidence of new conduction disturbances and PPI. Methods In this prospective case-control study 586 consecutive patients undergoing TAVR with either balloon-expandable Edwards SAPIEN S3 (n = 280; 47.8%), or mechanically expandable Boston LOTUS Edge heart valve prostheses (n = 306; 52.2%) were included. ID as well as rates of periprocedural PPI and left bundle branch block (LBBB) were compared between the conventional three-cusp coplanar (TCC) projection and the COP view for implantation. Results Of 586 patients, 282 (48.1%) underwent TAVR using COP, whereas in 304 patients (51.9%) the TCC view was applied. Using COP a significantly higher ID was achieved in Edwards SAPIEN S3 TAVR procedures (ID mean difference −1.0 mm, 95%−CI −1.9 to −0.1 mm; P = 0.029), whereas the final platform position did not differ significantly between both techniques when a Boston LOTUS Edge valve was used (ID mean difference −0.1 mm, 95%-CI −1.1 to +0.9 mm; P = 0.890). In Edwards SAPIEN S3 valves, higher ID was associated with a numerically lower post-procedural PPI incidence (4.9% vs. 7.3%; P = 0.464). Moreover, ID was significantly deeper in patients requiring PPI post TAVR compared to those without PPI [8.7 mm (6.8–10.6 mm) vs. 6.5 mm (6.1–7.0 mm); P = 0.005]. In Boston LOTUS Edge devices, COP view significantly decreased the incidence of LBBB post procedure (28.1% vs. 47.9%; P < 0.001), while PPI rates were similar in both groups (21.6% vs. 25.7%; P = 0.396). Conclusion The present study demonstrates the safety, efficacy and reproducibility of the cusp-overlap view even in balloon-expandable and mechanically-expandable TAVR procedures. Application of COP leads to significantly less LBBB in repositionable Boston LOTUS Edge valves and a numerically lower PPI rate in Edwards SAPIEN S3 valves post TAVR compared to the standard TCC projection. The results should encourage to apply the COP view more widely in clinical practice.
Analysis on the sensitivity of runoff to climate change

Society pay more attention to global warming.So effects of climate change on runoff in Yellow River were studied with hypothetical scenarios using monthly hydrological model.The results show that runoff is less sensitive to temperature change but more sensitive to precipitation change,and runoff in arid region is more sensitive to climate change than that in humid region.But human activities can decrease the sensitivity of runoff to climate change.
Comparative Evaluation of TiO2 Nanoparticle Addition and Postcuring Time on the Flexural Properties and Hardness of Additively Fabricated Denture Base Resins

Three-dimensionally (3D)-printed fabricated denture bases have shown inferior strength to conventional and subtractively fabricated ones. Several factors could significantly improve the strength of 3D-printed denture base resin, including the addition of nanoparticles and post-curing factors. This study evaluated the effect of TiO2 nanoparticle (TNP) addition and the post-curing time (PCT) on the flexural properties and hardness of three-dimensionally (3D)-printed denture base resins. A total of 360 specimens were fabricated, with 180 specimens from each type of resin. For evaluating the flexural properties, bar-shaped specimens measuring 64 × 10 × 3.3 mm were used, while, for the hardness testing, disc-shaped specimens measuring 15 × 2 mm were employed. The two 3D-printed resins utilized in this study were Asiga (DentaBASE) and NextDent (Vertex Dental B.V). Each resin was modified by adding TNPs at 1% and 2% concentrations, forming two groups and an additional unmodified group. Each group was divided into three subgroups according to the PCT (15, 60, and 90 min). All the specimens were subjected to artificial aging (5000 cycles), followed by testing of the flexural strength and elastic modulus using a universal testing machine, and the hardness using the Vickers hardness test. A three-way ANOVA was used for the data analysis, and a post hoc Tukey’s test was used for the pairwise comparisons (α = 0.05). Scanning electron microscopy (SEM) was used for the fracture surface analysis. The addition of the TNPs increased the flexural strength in comparison to the unmodified groups (p < 0.001), while there was no significant difference in the elastic modulus and hardness with the 1% TNP concentration. Among the TNP groups, the 2% TNP concentration significantly decreased the elastic modulus and hardness (p < 0.001). The SEM showed a homogenous distribution of the TNPs, and the more irregular fracture surface displayed ductile fractures. The PCT significantly increased the flexural strength, elastic modulus, and hardness (p < 0.001), and this increase was time-dependent. The three-way ANOVA results revealed a significant difference between the material types, TNP concentrations, and PCT interactions (p < 0.001). Both concentrations of the TNPs increased the flexural strength, while the 2% TNP concentration decreased the elastic modulus and hardness of the 3D-printed nanocomposites. The flexural strength and hardness increased as the PCT increased. The material type, TNP concentration, and PCT are important factors that affect the strength of 3D-printed nanocomposites and could improve their mechanical performance.
Na de bevrijding XL: Expanding a Historical Television Series with Archival Sources

textabstractPublic service broadcaster NTR created a seven-part television series about the first five years after World War II in The Netherlands. The Netherlands Institute for Sound and Vision, media museum and national audiovisual archive, cooperated with NTR to provide an expanded, interactive version of the TV series. This mobile site provides full access to the films, soundtracks, photos and newspaper articles used in the series, related to specific temporally segmented parts of each episode.
A Three-Branch RF Rectifier With Extended Input Power Range Based on Automatic Power Distribution Technique

This brief proposes a three-branch radio frequency (RF) rectifier that adopts a new circuit structure and automatic power distribution technique (APDT) to widen the range of input power. The proposed rectifier includes three branches that operate at different input power levels: low, medium, and high. The proposed APDT is designed according to the input impedance of each branch and distributes the input power automatically to the three branches. In this way, only one branch is active for a specific input power level and the power conversion efficiency (PCE) at the boundary of different power levels can be optimized. For validation, a three-branch rectifier working at 2.4 GHz was implemented and compared with other designs. The experiment results show that the measured PCE is greater than 50% within an input power range of −1.5 to 29 dBm, and the range of input power is widened to 30.5 dB. In addition, the input return loss $\boldsymbol {|S_{11}|}$ is less than −10 dB with a range of 38 dB.
Proposal of a Machine Learning-based Model to Optimize the Detection of Cyber-attacks in the Internet of Things

—In this article, we propose a model to optimize the detection of attacks in IoT. IoT network is a promising technology that connects living and non-living things around the world. Despite the increased development of these technologies, cyber-attacks remains a weakness, making it vulnerable to numerous cyber-attacks. Of course, automatic computer intrusion detection systems are deployed. However, it does not make it possible to mobilize the full potential of Machine Learning. Our approach in this maneuver consists of offering a means to select the least expensive ML method in terms of learning in order to optimize the prediction of threats to introduce IoT objects. To do this, we make modular design based on two layers. The first module is a canvas containing the different methods most used in ML such as supervised learning method, unsupervised learning method and reinforcement learning method. The second module introduces a mechanism to measure the learning cost linked to each of these methods in order to choose the least expensive one in order to quickly and efficiently detect intrusions in IoT objects. To prove the validity of the proposed model, we simulated it using the Weka tool. The results obtained illustrate the following behaviors: The classification quality rate is 93.66%. This last result is supported by a classification consistency rate of 0.882 (close to unity 1) demonstrating a trend towards convergence between observation and prediction.
Development Of A 3D Non Cohesive SuspendedSediment Transport Model For Free Surface Flows

The mathematical model for simulating three-dimensional (3D) suspended sediment (SS) transport under non-equilibrium situations is described. The model consists of a refined hydrodynamic model and a scalar transport model involving bed boundary conditions for either the sediment flux to or from the bed, or an estimated concentration level. It may be applied with the rigid-lid assumption or with an effective water-depth calculation so as to take the free surface effects into account. A test case for a situation with net erosion flux from the bed is presented, and the predicted development of the concentration profiles is compared with measurements.
Solar Radio Spectro-polarimetry (50-500 MHz) : Design and Development of Cross-Polarized Log-Periodic Dipole antenna and configuration of receiver system

A radio spectro-polarimeter was developed at the Gauribidanur radio observatory to study the characteristics of the polarized radio waves that are emitted by the impetuous solar corona in the 50 - 500 MHz frequency range. The instrument has three major components : a Cross-polarized Log-Periodic Dipole Antenna (CLPDA), an analog receiver, and a digital receiver (spectrum analyzer). This article elaborates the design and developmental aspects of the CLPDA, its characteristics and briefs about the configurations of the analog and digital receivers, setting up of the spectro-polarimeter, stage-wise tests performed to characterize it, etc. To demonstrate the instrumental capability, the estimation of the solar coronal magnetic field strength (B {\it Vs} heliocentric height), using the spectral data obtained with it, is exemplified. Throughout the above band, the CLPDA has a gain, return loss and polarization cross-talk of $\approx$ 6.6 dBi, $\lesssim$ -10 dB, and $\lesssim$ -27 dB, respectively. The design constraints, the procedure to tune its impedance and to minimize its dimension, etc. are elaborated. The analog receiver has a noise figure of $\approx 3$ dB and a receiver-noise-temperature ($T_{rcvr}$) of about 290 K. The receiver-flux-density ($S_{rcvr}$) is $\approx 5.3 \times 10^3 $, and $\approx 5.3 \times 10^5$ Jy at 50 and 500 MHz, respectively. The observed spectral data shows a Signal-to-Noise Ratio and Dynamic range of about 30 dB and 40 dB, respectively, at 50 MHz. The average polarization isolation / cross-talk of the CLPD varies from -30 dB to -24 dB over an azimuthal angle of $\pm 45^\circ$ with respect to the reference position angle ($0^\circ$). The average degree of circular polarization (DCP) is $\approx 100\%$ at the reference position and found to decrease gradually and reaches $\approx 80\%$ at an azimuthal angle of $\pm 45^\circ$.
Development of a Remote Sensing Based Initial Assessment Burn Severity Model

Two hundred seventy sample points were taken during the summer of 2005 within the USDA-ARS Sheep Experiment Station, DuBois Idaho. Fine-scale vegetation data were collected (n=270) using randomly located ocular estimation methodology (3600m 2 , n= 205), point frame methodology (800m 2 , n= 45), and twenty stratified-random plots. Ocular estimates included a description of percent cover of shrubs, grasses, forbs, litter, bare ground, and rock as well as an indication of the dominant shrub and weed species, fuel load, sagebrush age, GAP vegetation class, presence/absence of microbial crust, litter type, homogeneity, and four photo points. These estimates and measurements attempted to describe the vegetation within a 60x60m sample area. Point frame estimates included a description of percent cover of shrubs, grasses, forbs, litter, bare ground, and rock using a dot grid (0.5m 2 ) overlooking underlying vegetation and bare ground. All sample points were stratified by fuel load. Within the study area 64% of the samples indicate a moderate fuel load (~3 tons/acre; n=173), while 21% was low fuel load (n=56) and 15% was high fuel load (n=41). An additional method of shrub cover measurement was incorporated to compare cover results. Ultralight images were taken the week of July 11, 2005 and a classification of shrub cover was made using VegMeasure software. Linear correlation analysis indicates that the best agreement between these estimation methodologies is between the 60x60m ocular methodology and point frame methodology (r 0.7997 for shrub). Correlations between either of these estimation methods and VegMeasure results were poor (60x60m: r 0.1625, point frame: r 0.0224). These correlations were based on a comparison of samples taken within 30 meters of one another. To further examine the relationship between these estimation methods an Inverse Distance Weighted spatial interpolation was performed using shrub cover estimates derived from VegMeasure (point frame: n= 42, 60x60m: n= 195). This was done to predict shrub cover at the exact location where ocular and point-frame estimates were taken, thereby allowing for a more direct comparison of estimation methods. These estimates were compared with both 60x60m ocular and point frame estimates using linear correlation analysis; both relationships resulted in very low R-squared values (R 2 = 0.0049 and 0.0207 respectively).
Integrating hydrogeomorphological concepts in management approaches of lowland agricultural streams: Perspectives, problems and prospects based on case studies in Quebec

Alternative management approaches for agricultural streams based on hydrogeomorphological principles such as a two-stage channel are promising, but need to be further tested in contexts other than the Midwestern United States. In Quebec (Canada), the presence of many deep drain outlets may limit their applicability. The objectives of this research are to (1) assess the feasibility of implementing the two-stage channel design in Quebec; (2) determine how alternative management approaches compare with traditional management from an economical point of view, and (3) evaluate the impact of modifying the drain outlet design using small horseshoe wetlands to accommodate hydrogeomorphological adjustments of the channel. A combination of case studies and numerical modelling (HEC-RAS, Hydrologic Engineering Center’s River Analysis System) was used for three study sites located in the Montérégie region (QC). Based on regional hydraulic geometry curves, additional space on each bank required for a two-stage channel ranged between 1.3 and 2.8 m for a width equal to 3 times the inset channel. Hydraulic modelling confirms previous findings of improved drainage capacity at high flow, (up to a 54% increase). Cost analysis reveals that two-stage and over-widened channels are 3 to 4 times more expensive to implement when compared to traditional trapezoidal clean-out dredging operations, mainly due to spoil removal and transportation. However, self-formed channels are less expensive since they only require additional riparian land. A crop yield analysis in the near-stream zone at three sites which are frequently flooded revealed markedly lower productivity in zones within the flooding space. The horseshoe wetland design for drain outlets could also be maintained at low cost, and would promote more heterogeneity than the traditional trapezoidal ditches. Using alternative agricultural stream management approaches based on hydrogeomorphological concepts would be feasible in the Quebec context without compromising the overall productivity of this key economic sector.
Food safety research for fresh produce

Chang, Jun Won. M.S., Purdue University, August 2015. Food Safety Research for Fresh Produce. Major Professors: Robert E. Pruitt and Amanda J. Deering Recent outbreaks and recalls associated with cantaloupe contaminated with Salmonella s.v. Typhimurium and Listeria monocytogenes have led to an increasing need for methods consumers can use at home to clean and sanitize cantaloupe before consumption. Hot water (82°C) and household chemicals, such as bleach, vinegar, iodine, salt and hydrogen peroxide, were tested to determine their efficacy for the reduction of S. Typhimurium and L. monocytogenes inoculated on cantaloupe surfaces. The hot water treatment was the most effective at reducing S. Typhimurium (3.8 log reduction) and L. monocytogenes (2.5 log reduction) on the cantaloupe surface. The use of Electrochemically Activated (ECA) water to reduce S. Typhimurium and L. monocytogenes inoculated on cantaloupe surfaces was also examined for industry and farm use. ECA water is produced through the electrolysis of tap water containing dissolved sodium chloride into the anodic (anolyte; chlorine species sanitizer) and cathodic (catholyte; highly basic detergent) solutions. Combination with a UV treatment was also tested to determine if there was a synergistic sanitizing effect. The triple combination of catholyte, anolyte and UV treatment had the highest average log
Modelling 3D seismic wavefields through complex seabottom topography offshore NW Australia

Seafloor canyons and complex seafloor topography pose significant challenges when analysing seismic data from the North West shelf off the Western Australian coast. Several prolific gas fields in this area lie beneath the continental shelf break, which contains large canyons that cause significant seismic amplitude distortion and complex wavefield behaviour (e.g. scattering and wavefield multi-pathing), and lead to irregular and poor illumination, unreliable AVO analysis, and difficulties in velocity model building. To illustrate these issues we present 3D elastic finite-difference simulation results from a model of a region of the North West Shelf in Western Australia. Using a high-performance computing cluster we model elastic wavefields through complex seabottom topography. We simulate plane-wave propagation through a bathymetric model to generate a pseudo stack. We observe many expected complex effects including wavefield (de)focusing, diffractions and triplications. We also measure wavefield amplitude variations of a factor of four over scale lengths of a few hundred metres; this is sufficient to cause significant imaging issues. By accurately modelling full 3D wavefield effects we can now generate data to benchmark existing algorithms and develop new techniques/algorithms for handling complex bathymetry.
Organophosphate Pesticide Residues in Okra and Brinjal Grown in Peri-Urban Environment of Big Cities of Punjab

Summary: Peri urban farming system is main supplier of vegetables to urban population and organophosphate pesticides exposure due to consumption of okra and brinjal to urban population has been estimated in this study. Okra and brinjal samples (90 samples for each vegetable) were collected from peri-urban farming area of Faisalabad, Multan and Gujranwala and were analysed by GC-ECD for quantification of chlorpyrifos, profenophos and triazophos residues. Data were statistically analyzed to calculate, mean and standard deviation. Quantification of pesticides residues revealed that 85 (47.22%) samples were contaminated and 15 (8.33 % of total samples and 17.64% of contaminated) samples showed residues value higher than MRL’S. Out of 85 contaminated samples 27 (31.76%) samples were contaminated with chlorpyrifos, 30 (35.29%) samples with profenofos and 29 (34.11) were contaminated with triazophos. The mean concentration of chlorpyrifos in okra was 0.192 mg Kg -1 and brinjal 0.197 mg Kg -1 . The mean concentration for profenofos in okra was 0.02 mg Kg -1 and brinjal 0.035 mg Kg
Smart Drone Surveillance System Based on AI and on IoT Communication in Case of Intrusion and Fire Accident

Research on developing a smart security system is based on Artificial Intelligence with an unmanned aerial vehicle (UAV) to detect and monitor alert situations, such as fire accidents and theft/intruders in the building or factory, which is based on the Internet of Things (IoT) network. The system includes a Passive Pyroelectric Infrared Detector for human detection and an analog flame sensor to sense the appearance of the concerned objects and then transmit the signal to the workstation via Wi-Fi based on the microcontroller Espressif32 (Esp32). The computer vision models YOLOv8 (You Only Look Once version 8) and Cascade Classifier are trained and implemented into the workstation, which is able to identify people, some potentially dangerous objects, and fire. The drone is also controlled by three algorithms—distance maintenance, automatic yaw rotation, and potentially dangerous object avoidance—with the support of a proportional–integral–derivative (PID) controller. The Smart Drone Surveillance System has good commands for automatic tracking and streaming of the video of these specific circumstances and then transferring the data to the involved parties such as security or staff.
The Relationship among Body Composition and Body Mass index in a Population of Adolescents in Enugu State, Nigeria

Methodological differences among indirect body composition techniques are a source of variability that can affect estimations of fat-free mass (FFM) or Body fat percentage (BF %) especially for different sex and age groups. The aim of this cross-sectional study was to ascertain the relationship among body Composition and Body mass index (BMI) in adolescents in Enugu State, Nigeria. 300 boys and 480 girls aged 10-20, from two places of domicile where studied. Their body compositions and BMI were measured using bioelectrical impedance analysis and anthropometry respectively. Measurements were reported according to age, sex and area of domicile. Mean BF% increased with age in all but one age group, with girls having a significantly (p 0.05). The greatest discrepancies between mean BF% and BMI was observed in boys aged 16-18, who had a significantly (p<0.05) lower BF% compared to those aged 13-15 (13.45 vs 18.28 in Urban and 13.90 vs 17.38 in rural areas). BF% and BMI were significantly positively correlated (p<0.01) and negatively correlated with body muscle and body water (p<0.01). However, while BMI had positive correlation with age in all the subjects, BF% on the other hand was positively correlated with age only in girls. BMI was positively correlated with BF% measured with BIA. However, the relationship was influenced by age, sex, body muscle and body water. Therefore, we recommend the need to take other body composition into consideration when using BMI to predict BF% / obesity in a population