Miracle-dz/UniFAR-FTUs huggingface dataset:
Review on Electrodynamic Energy Harvesters - A Classification Approach

Beginning with a short historical sketch, electrodynamic energy harvesters with focus on vibration generators and volumes below 1dm3 are reviewed. The current challenges to generate up to several milliwatts of power from practically relevant flows and vibrations are addressed, and the variety of available solutions is sketched. Sixty-seven different harvester concepts from more than 130 publications are classified with respect to excitation, additional boundary conditions, design and fabrication. A chronological list of the harvester concepts with corresponding references provides an impression about the developments. Besides resonant harvester concepts, the review includes broadband approaches and mechanisms to harvest from flow. Finally, a short overview of harvesters in applications and first market ready concepts is given.
attention indicator dynamics of qualified climbers influenced by hypoxic training during the overcoming various altitude levels of Mount elbrus

Purpose : to determine the effect of hypoxic training on the attention indicators at different altitudes when crossing the Mount Elbrus. Material & Methods: the study of various attention indicators with the participation of control (n=16) and experimental (n=12) groups with the use of interval hypoxic training (IHT) in the 15–15 mode with breathing through the system into a con-fined space in the experimental group and using the methods of mathematical statistics are carried out. Result: studies have made it possible to determine that the use of the regime of discontinuous hypoxia 15–15 in the training process of the pre-competitive period contribute to an increase in attention rates that affect adaptation to the load under hypoxia conditions. Conclusion: results of the conducted studies indicate that the use of IHT in the 15–15 mode in the period before the ascent to Mount Elbrus allows to significantly increase the attention rates of qualified climbers at different altitude levels.
A Computer Vision and IoT Based Smart Stick for Assisting Vision-Impaired People

Vision impairment is a worldwide issue, and those without sight suffer more than other individuals with disabilities. The rapid development of Computer Vision and Internet of Things (IoT) technology has made it possible to employ innovative techniques to help visually impaired people. This paper proposes a system that improves the mobility and independence of visually impaired people by helping them navigate. Many existing solutions have struggled with recognizing and categorizing a wide range of objects and obstacles accurately, having low accuracy using camera-based distance measurements and the Global Positioning System (GPS) for navigation. The proposed system recognizes 80 previously trained objects with an additional 8 objects using computer vision and IoT-based techniques. If an object appears within the range of 2 meters, the distance sensor will detect the obstacle, a buzzer will alert, and the camera will capture the image to identify the obstacle using the YOLOv5 algorithm and provide direction to the navigation using headphones. The system makes the decision to instruct the user to move left or right based on audio feedback. The proposed system has improved object identification, distance measurement, and accessibility with satisfactory performances for visually impaired people traveling. Due to Industry 5.0's requirement that humans collaborate with AI and IoT systems, this technology has a huge impact on the growth of smart cities as well as impaired people.
Nontraditional Serum Lipid Variables and Recurrent Stroke Risk

Background and Purpose— Expert consensus guidelines recommend low-density lipoprotein cholesterol as the primary serum lipid target for recurrent stroke risk reduction. However, mounting evidence suggests that other lipid parameters might be additional therapeutic targets or at least also predict cardiovascular risk. Little is known about the effects of nontraditional lipid variables on recurrent stroke risk. Methods— We analyzed the Vitamin Intervention for Stroke Prevention study database comprising 3680 recent (<120 days) noncardioembolic stroke patients followed up for 2 years. Independent associations of baseline serum lipid variables with recurrent ischemic stroke (primary outcome) and the composite end point of ischemic stroke/coronary heart disease/vascular death (secondary outcomes) were assessed. Results— Of all variables evaluated, only triglycerides/high-density lipoprotein cholesterol (HDL-C) ratio was consistently and independently related to both outcomes: compared with the lowest quintile, the highest triglycerides/HDL-C ratio quintile was associated with stroke (adjusted hazard ratio, 1.56; 95% confidence interval, 1.05−2.32) and stroke/coronary heart disease/vascular death (1.39; 1.05−1.83), including adjustment for lipid modifier use. Compared with the lowest quintile, the highest total cholesterol/HDL-C ratio quintile was associated with stroke/coronary heart disease/vascular death (1.45; 1.03−2.03). Low-density lipoprotein cholesterol/HDL-C ratio, non-HDL-C, elevated triglycerides alone, and low HDL-C alone were not independently linked to either outcome. Conclusions— Of various nontraditional lipid variables, elevated baseline triglycerides/HDL-C and total cholesterol/HDL-C ratios predict future vascular risk after a stroke, but only elevated triglycerides/HDL-C ratio is related to risk of recurrent stroke. Future studies should assess the role of triglycerides/HDL-C as a potential therapeutic target for global vascular risk reduction after stroke.
A Coarse-to-Refined Matching Method for Multisensor Remote Sensing Image Registration

Multisensor image registration is necessary in many applications of remote sensing imagery, the crucial problem is how to establish the correspondence between the features extracted from the reference and input image. Generally, most existing methods only use feature similarity or intensity similarity. In this paper, a coarse-to-refined method, which combines modified scale invariant feature transform (SIFT) feature similarity in coarse matching and cluster reward algorithm (CRA) in refined matching, is developed. To achieve refined registration, two transformation models are used. The experimental results demonstrate that the proposed method is effective and achieves subpixel registration accuracy.
An Administrative Claims Model Suitable for Profiling Hospital Performance Based on 30-Day Mortality Rates Among Patients With an Acute Myocardial Infarction

Background— A model using administrative claims data that is suitable for profiling hospital performance for acute myocardial infarction would be useful in quality assessment and improvement efforts. We sought to develop a hierarchical regression model using Medicare claims data that produces hospital risk-standardized 30-day mortality rates and to validate the hospital estimates against those derived from a medical record model. Methods and Results— For hospital estimates derived from claims data, we developed a derivation model using 140 120 cases discharged from 4664 hospitals in 1998. For the comparison of models from claims data and medical record data, we used the Cooperative Cardiovascular Project database. To determine the stability of the model over time, we used annual Medicare cohorts discharged in 1995, 1997, and 1999–2001. The final model included 27 variables and had an area under the receiver operating characteristic curve of 0.71. In a comparison of the risk-standardized hospital mortality rates from the claims model with those of the medical record model, the correlation coefficient was 0.90 (SE=0.003). The slope of the weighted regression line was 0.95 (SE=0.007), and the intercept was 0.008 (SE=0.001), both indicating strong agreement of the hospital estimates between the 2 data sources. The median difference between the claims-based hospital risk-standardized mortality rates and the chart-based rates was <0.001 (25th and 75th percentiles, −0.003 and 0.003). The performance of the model was stable over time. Conclusions— This administrative claims-based model for profiling hospitals performs consistently over several years and produces estimates of risk-standardized mortality that are good surrogates for estimates from a medical record model.
Optimization of biochemical networks under uncertainty

This paper considers the optimization problem of biochemical systems represented by the S-system formalism under uncertainty. The uncertain optimization problem is firstly proposed and is then transformed into an equivalent problem that can be solved with a modified iterative IOM algorithm. Finally, the example of tryptophan biosynthesis is performed to proposed framework of optimization under kinetic orders uncertainty. The modified iterative IOM approach is proven to be very attractive.
A Study on Flow Structure around a Bridge Beam and Behavior of Sea Water Mist

Okinawa in the subtropical islands enclosed in the ocean has a problem that corrosion of structures progresses quickly because of high temperature, high humidity and adhesion of sea-water mists flying from sea. Author is interested in corrosion of bridge made of weatherability steel. Therefore, it needs to investigate the flow structure around bridge beams and behavior of sea-water mist (droplet). In this paper, flow visualization and PIV are attempted to understand the flow structures around bridge beams and, furthermore, numerical approach of motion of droplets is attempted to understand the collision of sea-water mists on the bridge wall.
MyoD Targets Chromatin Remodeling Complexes to the Myogenin Locus Prior to Forming a Stable DNA-Bound Complex

ABSTRACT The activation of muscle-specific gene expression requires the coordinated action of muscle regulatory proteins and chromatin-remodeling enzymes. Microarray analysis performed in the presence or absence of a dominant-negative BRG1 ATPase demonstrated that approximately one-third of MyoD-induced genes were highly dependent on SWI/SNF enzymes. To understand the mechanism of activation, we performed chromatin immunoprecipitations analyzing the myogenin promoter. We found that H4 hyperacetylation preceded Brg1 binding in a MyoD-dependent manner but that MyoD binding occurred subsequent to H4 modification and Brg1 interaction. In the absence of functional SWI/SNF enzymes, muscle regulatory proteins did not bind to the myogenin promoter, thereby providing evidence for SWI/SNF-dependent activator binding. We observed that the homeodomain factor Pbx1, which cooperates with MyoD to stimulate myogenin expression, is constitutively bound to the myogenin promoter in a SWI/SNF-independent manner, suggesting a two-step mechanism in which MyoD initially interacts indirectly with the myogenin promoter and attracts chromatin-remodeling enzymes, which then facilitate direct binding by MyoD and other regulatory proteins.
On Detection Issues in the SC-Based Uplink of a MU-MIMO System with a Large Number of BS Antennas

This paper deals with Single Carrier (SC)/Frequency Domain Equalization (FDE) within a Multi-User (MU)-Multi-Input Multi-Output (MIMO) system where a large number of Base Station (BS) antennas is adopted. In this context, we consider either a linear or a low-complexity iterative Decision-Feedback (DF) detection technique which does not require matrix inversion operations. We include a detailed evaluation of Bit Error Rate (BER) performances for uncoded 4-Quadrature Amplitude Modulation (4-QAM) schemes and a MUMIMO channel with uncorrelated Rayleigh fading. The accuracy of performance results obtained through selected semi-analytical simulation methods is assessed by means of parallel conventional Monte Carlo simulations; these results are discussed in detail, with the help of selected performance bounds. From our performance results, we conclude that a moderately large number of BS antennas is enough to closely approximate the Single-Input Multi-Output (SIMO) MatchedFilter Bound (MFB) performance, especially when using the low-complexity iterative DF technique. We also emphasize the achievable ”massive MIMO” effects, even for strongly reduced-complexity linear detection techniques, provided that the number of BS antennas is much higher than the number of antennas which are jointly employed in the terminals of the multiple autonomous users.
Low Latency Implementations of CRYSTALS-Dilithium for Cloud Applications

This paper studies GPU-based implementations of CRYSTALS-Dilithium (Dilithium) algorithm, which is one of four post-quantum algorithms that NIST has standardized. We focus on the scenarios of batch processing and explore low latency implementations by parallelizing the critical components of Dilithium with the consideration of overhead due to inter-thread data sharing. We also investigate the techniques of using GPU memories and warp-level instructions for data sharing in GPU-based implementations of Dilithium. All of the efforts lead to effective low latency implementations that are suited to cloud applications. Finally, we conduct evaluations on two testbeds with NVIDIA GeForce RTX 3060 and RTX A4000, respectively. The experimental results show that our low latency implementations save up to 41 percent (resp. 33 percent) latency at low task loads on the former testbed (resp. the latter testbed) when compared with the baseline implementation. We also provide engineers with a practical strategy to achieve better overall performance for applications that the number of arrived tasks is not predictable.
Optical properties of bulk and thin-film SrTiO3 on Si and Pt

We have studied the optical properties (complex dielectric function) of bulk SrTiO3 and thin films on Si and Pt using spectroscopic ellipsometry over a very broad spectral range, starting at 0.03 eV [using Fourier transform infrared (FTIR) ellipsometry] to 8.7 eV. In the bulk crystals, we analyze the interband transitions in the spectra to determine the critical-point parameters. To interpret these transitions, we performed band structure calculations based on ab initio pseudopotentials within the local-density approximation. The dielectric function was also calculated within this framework and compared with our ellipsometry data. In the FTIR ellipsometry data, we notice a strong lattice absorption peak due to oxygen-related vibrations. Two longitudinal optic (LO) phonons were also identified. In SrTiO3 films on Si, the refractive index below the band gap decreases with decreasing thickness because of the increasing influence of the amorphous interfacial layer between the SrTiO3 film and the Si substrate.
Proactive Radio Resource Optimization With Margin Prediction: A Data Mining Approach

Driven by the exponential surge on high data rate services, network operators are facing the challenges of how to enhance the capacity and optimize the coverage in a cost-efficient approach. However, traditional network optimization technologies passively adjust the network configurations based on network's congestion ratio, drop-off rate, coverage holes, etc., leading to suboptimum user experiences. Therefore, the objective of this paper is to optimize the network configurations by obtaining the accurate network status, user demand, and application request distribution based on the real-time data. The data mining technique is introduced to predict the resource margin based on historical measurement statistics. To explore the dynamic distribution of user demand and application request, a weighted k-nearest neighbors model is proposed to predict periodic characteristics of network traffics, denoting different temporal and spatial patterns of radio resource margins. In contrast to the traditional passive network optimization approaches, the radio resources can be reconfigured actively to meet the dynamic patterns of traffic loads by using the proposed optimization algorithm. Results prove that the proposed data mining model can capture the dynamics of traffic loads to optimize the traffic load balance and increase the efficiency of radio resource utilization using the network statistic data.
Conservation Agriculture: An Option to Enhance Pollinators and Sustainability

Pollinators provide an essential ecosystem service that contributes to the maintenance of biodiversity and ensures the survival of pt species including crop pts. Furthermore, the reproductive success in pts is often pollinator limited. Most of the vegetable crops are cross-pollinated i.e. the flowers of these crops need conspecific foreign pollen for pollination and seed set. Insect pollinators set a greater proportion of early flowers of the crop and increase quality and quantity of the seed yield. Heat, soil moisture/ water availability to the pts during drought periods are some major factors that decide the number of pollinators in the crop. Conservation agriculture is a technology for maintaining soil quality, retaining soil moisture for longer period, reduces irrigation need of the fields optimises pesticide & fertilizer use and moreover helps in creating the natural habitats for the pollinators and natural enemies. ” Conservation technologies collectively helps in reducing the use of pesticides and fertilisers, better crop growth and most important good population of pollinators and natural enemies in the fields.
On the validity of digital signatures

An important feature of digital signatures is to serve as non-repudiation evidence. To be eligible as non-repudiation evidence, a digital signature on an electronic document should remain valid until its expiry date which is specified by some non-repudiation policy. As signature keys may be compromised and the validity of signatures may become questionable, additional security mechanisms need to be imposed on digital signatures. This paper examines the mechanisms for maintaining the validity of digital signatures, and provides a guideline on the use of these mechanisms in various context of applications.
Self-inflating oral tissue expander for ridge augmentation in the severely atrophic mandible

In dentistry, tissue expanders have been used to obtain sufficient soft tissue for alveolar bone augmentation in the severely atrophic ridge. Herein, we review two cases of soft tissue augmentation using a self-inflating tissue expander in patients in the Department of Oral and Maxillofacial Surgery at Ewha Womans University Mokdong Hospital for bone graft and implant operations. The results of each patient were presented using pre-operative and post-operative radiographs and clinical exams. The results of our study indicate successful bone graft and implant surgery using a self-inflating tissue expander.
Accuracy of 4 different algorithms for the analysis of tomographic radionuclide ventriculography using a physical, dynamic 4-chamber cardiac phantom.

UNLABELLED Various automatic algorithms are now being developed to calculate left ventricular (LV) and right ventricular (RV) ejection fraction from tomographic radionuclide ventriculography. We tested the performance of 4 of these algorithms in estimating LV and RV volume and ejection fraction using a dynamic 4-chamber cardiac phantom. METHODS We developed a realistic physical, dynamic 4-chamber cardiac phantom and acquired 25 tomographic radionuclide ventriculography images within a wide range of end-diastolic volumes, end-systolic volumes, and stroke volumes. We assessed the ability of 4 algorithms (QBS, QUBE, 4D-MSPECT, and BP-SPECT) to calculate LV and RV volume and ejection fraction. RESULTS For the left ventricle, the correlations between reference and estimated volumes (0.93, 0.93, 0.96, and 0.93 for QBS, QUBE, 4D-MSPECT, and BP-SPECT, respectively; all with P < 0.001) and ejection fractions (0.90, 0.93, 0.88, and 0.92, respectively; all with P < 0.001) were good, although all algorithms underestimated the volumes (mean difference [+/-2 SDs] from Bland-Altman analysis: -39.83 +/- 43.12 mL, -33.39 +/- 38.12 mL, -33.29 +/- 40.70 mL, and -16.61 +/- 39.64 mL, respectively). The underestimation by QBS, QUBE, and 4D-MSPECT was greater for higher volumes. QBS, QUBE, and BP-SPECT could also be tested for the right ventricle. Correlations were good for the volumes (0.93, 0.95, and 0.97 for QBS, QUBE, and BP-SPECT, respectively; all with P < 0.001). In terms of absolute volume estimation, the mean differences (+/-2 SDs) from Bland-Altman analysis were -41.28 +/- 43.66 mL, 11.13 +/- 49.26 mL, and -13.11 +/- 28.20 mL, respectively. Calculation of RV ejection fraction correlated well with true values (0.84, 0.92, and 0.94, respectively; all with P < 0.001), although an overestimation was seen for higher ejection fractions. CONCLUSION Calculation of LV and RV ejection fraction based on tomographic radionuclide ventriculography was accurate for all tested algorithms. All algorithms underestimated LV volume; estimation of RV volume seemed more difficult, with different results for each algorithm. The more irregular shape and inclusion of a relatively hypokinetic RV outflow tract in the right ventricle seemed to cause the greater difficulty with delineation of the right ventricle, compared with the left ventricle.
Transfusion and Alloimmunization in Sickle Cell Disease

In 1,814 patients with sickle cell disease who had been transfused, the overall rate of alloimmunization to erythrocyte antigens was 18.6%. The rate of alloimmunization in this group appears to be an explicit function of the number of transfusions received because it increases exponentially with increasing numbers of transfusions. Alloimmunization usually occurred with less than 15 transfusions, although the rate of alloimmunization continued to increase when more transfusions were given. The rate of alloimmunization was less in patients with hemoglobin SC disease and sickle$+ thalassemia because these patients had received fewer transfusions. Children less than 10 years old had a slightly lower rate of alloimmunization than patients in other age groups even after correction for the number of
Moho depth and crustal thinning in the Marmara Sea region from gravity data inversion

The free‐air gravity in the Marmara Sea reveals that the low density of sedimentary basins is partly compensated in the lower crust. We compiled geophysical upper crust studies to determine the sediment basin geometries in and around the Marmara Sea and corrected the gravity signal from this upper crust geology with the Parker method. Then, assuming long wavelength anomalies in the residual gravity signal is caused by variations in the Moho topography, we inverted the residual to build the Moho topography. The result shows that the Moho is uplifted on an area greater than the Marmara Sea with a maximum crust thinning beneath the basins where the Moho is at about 25 km, 5 km above the reference depth. We then evaluated the Neogene extension by comparing the surface covered by our 3‐D thinned model with the surface covered by an unthinned model with same crustal volume. Comparing this surface with areal extension rate from GPS data, we found a good compatibility indicating that the extension rate averaged over the Sea of Marmara area probably remained close to its present‐day value during major changes of tectonic regime, as the incursion of the North Anatolian Fault system during the Pliocene leads to the establishment of the dominantly strike‐slip present‐day system. We also show that crustal extension is distributed over a wider domain in the lower crust than in the upper crust, and that this may be accounted for by a relatively minor component of lower crustal ductile flow.