Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of hematologic parameters of donors, patients, and granulocyte concentrates to predict successful granulocyte transfusion

Background Granulocyte transfusion (GTx) is performed as a supportive therapy in severe neutropenic patients caused by various conditions. The study aimed to analyze the hematologic parameters of donors, patients, and granulocyte concentrates to predict successful GTx. Methods This study was performed in 281 donors, with their granulocyte concentrates being collected through apheresis, and in 54 severe neutropenic patients who had various hematologic diseases. Complete blood cell counts of donors pre- and post-apheresis, granulocyte concentrates, and patients pre- and post-GTx were analyzed. Patients were divided into two groups according to survival at discharge (Group S, survival; Group D, dead) to compare various factors including age, infection status, pre- and post-GTx total white blood cell counts (TWBCC) and absolute neutrophil counts (ANC), total number of GTx, infused TWBCC and ANC per weight, and use of G-CSF during therapy. Results Overall data of patients showed that both TWBCC and ANC were significantly increased after GTx (median values at pre-GTx, TWBCC=0.40×109/L, ANC=0.14×109/L; post-GTx, TWBCC=0.57×109/L, ANC=0.29×109/L, both P<0.0001). After GTx, Group S (N=25) showed significantly higher TWBCC and ANC than Group D (N=29) (P=0.01 and P=0.04, respectively). Using different cutoff levels, post-GTx TWBCC greater than 0.5×109/L showed statistically significant difference between the two groups (P<0.01). None of the other factors showed statistically significant differences. Conclusion The TWBCC and ANC after GTx were significant factors to predict patients' outcome. Therefore, follow-up of those two parameters may be helpful to select or consider other therapeutic modalities including additional GTx.
Forty-five-year evolution of probiotic therapy

In the past forty-five years, the field of probiotics has grown from a handful of laboratory studies and clinical ideas into a legitimate research and translational entity conferring multiple benefits to humans around the world. This has been founded upon three principles: (i) the need for alterna-tives to drugs that either have sub-optimal efficacy or severe adverse effects; (ii) a growing interest in natural products and microbes, in particular cata-lyzed by studies showing the extent of microbes within humans and on our planet; and (iii) evidence on the genetics and metabolic properties of probi-otic strains, and clinical studies showing their effectiveness. While some man-ufacturers have sadly taken advantage of the market growth to sell supple-ments and foods they term probiotic, without the necessary human study evidence, there are more and more companies basing their formulations on science. Adherence to the definition of what constitutes a probiotic, conclu-sions based on tested products not generalizations of the whole field, and applications emanating from microbiome research identifying new strains that provide benefits, will make the next forty-five years significantly changed approaches to health management. Exciting applications will emerge for car-diovascular, urogenital, respiratory, brain, digestive and skin health, detoxifi-cation, as well as usage across the world's ecosystems.
SWiBluX: Multi-Sensor Deep Learning Fingerprint for Precise Real-Time Indoor Tracking

Indoor/outdoor localization topic has gained a significant research interest due to the wide range of potential applications. Commonly, the Fingerprinting methods for spatial characterization of the environments monitored are employed in deterministic/statistical estimation. However, there are Fingerprint parameters that are generally neglected and can seriously affect the performance yielding to low accurate location. Nowadays, machine and deep learning (DL) methods are employed in this topic due to its ability to approximate complex non-linear models being capable of mitigating the undesirable effects of wireless propagation. In this paper, a complete overview of most influential aspects in Fingerprinting and indoor tracking methods is presented. Furthermore, a novel multi-modal complete tracking system, called SWiBluX, based on statistic and DL techniques is presented. The system relies on relevant feature extraction from available data sources to estimate user’s/target indoor position using a multi-phase statistical Fingerprint and DL disruptive approach. In addition, a Gaussian outlier filter is applied to the position estimation model output to further reduce the error in the estimation. The set of experiments performed shows that Fingerprint positioning accuracy estimation can be improved up to 45% resulting in a final estimation error that outperforms related literature.
Compact Switched Capacitor Multilevel Inverter (CSCMLI) With Self-Voltage Balancing and Boosting Ability

This letter presents a compact switched capacitor multilevel inverter (CSCMLI) topology with reduced switch count and with self-voltage balancing and boosting ability. The operational mode of the proposed CSCMLI is discussed. A comparative analysis in terms of number of switches and blocking voltages is presented against recent switched capacitor multilevel inverter topologies. Further to enhance the quality of the output voltage, a new level shifted multicarrier pulsewidth modulation (PWM) technique is recommended. This modulation technique produces low THD and high rms voltage. The proposed modulation technique is implemented in the nine-level CSCMLI with single dc source and two capacitors. The simulated and experimental results are verified for a switching frequency of 50 Hz and 2.5 kHz using the proposed PWM control.
Four-Leg Converter for Reluctance Machine With DC-Biased Sinusoidal Winding Current

This paper proposes a novel four-leg converter topology and the corresponding SVPWM strategy for a reluctance machine with DC-biased sinusoidal winding current. Compared with the traditional open-winding inverter topology, the number of the power devices and gate driver required for the four-leg converter topology are reduced by one-third, and the power loss is reduced. With the proposed four-leg converter, the cost of the motor drive is reduced and the power density is improved. The vector control and modulation models of the proposed four-leg converter are presented to control the winding current with both AC and DC components. With the proposed four-leg SVPWM strategy, the four-leg converter can achieve the same DC voltage utilization as an open-winding inverter. In addition to the ability to generate αβ-axis voltages, as same with conventional SVPWM, the proposed SVPWM can also generate γ-axis voltages without generating additional zero-sequence alternating voltages on the stator windings. The validity of the proposed converter and the corresponding modulation strategy has been demonstrated by simulation and experiment. The power loss and performance of the four-leg converter are compared with the traditional converter. Contrasting experiments show that the proposed topology can reduce power loss by about 15% at rated operation and achieve the same performance as open-winding inverters.
Robust Model Predictive Control With Simplified Repetitive Control for Electrical Machine Drives

Conventional model predictive control (MPC) for electrical drives relies on the accuracy of system model, thus, its performance will deteriorate due to disturbances such as parameter mismatch and current distortion. To improve the robustness of MPC, a compensated scheme with simplified repetitive control (SRC) is proposed in this paper. Since the prediction of MPC is corrected with the assistance of compensation, a much more reasonable output is provided to promote system performance. An open-loop structure of repetitive control (RC) with two resonant units is applied for the proposed SRC to guarantee stability and maintain high accuracy for tracking disturbances, and moreover, SRC responds fast and just needs half of the data memory used by an ideal RC. Additionally, an output filter is designed to correct the quantizing error of frequency, thus, the frequency adaption is enhanced. To validate the feasibility and the effectiveness of the proposed method, a compensated MPC for permanent-magnet synchronous machine drive system is utilized. Both simulation and experiment results prove significant performance enhancement of the SRC-based robust MPC, and compared with the conventional MPC, it provides nearly 30% reduction of total harmonic distortion (THD) in stator phase current.
Refractive Index-Based Blood Components Sensing in Terahertz Spectrum

In this paper, a novel partial type-b crystalline core with more compact cladding in hexagonal packing photonic crystal fiber (CC-PCF)-based optical sensor has been proposed for sensing different blood components. This fiber has investigated in terahertz (THz) region from 1.5 to 3.50 THz, intending to superior relative sensitivity with low confinement loss (CL). Circular air holes have been employed in the formation of the partial type-b crystalline core in a symmetric manner. A significant relative sensitivity response of 80.93%, 80.56%, 80.13%, 79.91%, and 79.39% are achieved for the targeted analytes such as RBCs, hemoglobin, WBCs, plasma, and water at frequency <inline-formula> <tex-math notation="LaTeX">${f} = 1.5$ </tex-math></inline-formula> THz. In X-polarization mode, a negligible CL of <inline-formula> <tex-math notation="LaTeX">$1.23\times 10^{-11}$ </tex-math></inline-formula> dB/m, <inline-formula> <tex-math notation="LaTeX">$8.63\times 10^{-12}$ </tex-math></inline-formula> dB/m, <inline-formula> <tex-math notation="LaTeX">$4.93\times 10^{-12}$ </tex-math></inline-formula> dB/m, <inline-formula> <tex-math notation="LaTeX">$2.93\times 10^{-12}$ </tex-math></inline-formula> dB/m, and <inline-formula> <tex-math notation="LaTeX">$1.13\times 10^{-12}$ </tex-math></inline-formula> dB/m are also gained, respectively, for same analytes and at same THz frequency. Moreover, effective area (<italic>A</italic><sub>eff</sub>), V-Parameter (<inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{ eff}}$ </tex-math></inline-formula>), dispersion (<inline-formula> <tex-math notation="LaTeX">$\beta _{2}$ </tex-math></inline-formula>), spot size (<inline-formula> <tex-math notation="LaTeX">$W_{\mathrm{ eff}}$ </tex-math></inline-formula>), and beam divergence (<inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula>) have been determined over the investigated region. The improved outcomes are anticipated that the proposed CC-PCF sensor will be opened a new epoch in biomedical sensing purposes.
A Mechanics-Based Model for 3-D Steering of Programmable Bevel-Tip Needles

We present a model for the steering of programmable bevel-tip needles, along with a set of experiments demonstrating the three-dimensional steering performance of a new, clinically viable, 4-segment, preproduction prototype. A multibeam approach based on Euler–Bernoulli beam theory is used to model the novel multisegment design of these needles. Finite element (FE) simulations for known loads are used to validate the multibeam deflection model. A clinically sized (2.5 mm outer diameter), 4-segment programmable bevel-tip needle, manufactured by extrusion of a medical-grade polymer, is used to conduct an extensive set of experimental trials to evaluate the steering model. For the first time, we demonstrate the ability of the 4-segment needle design to steer in any direction with a maximum achievable curvature of <inline-formula><tex-math notation="LaTeX">$({\text{0.0192}} \pm {\text{0.0014 mm}}^{-1})$</tex-math></inline-formula>. FE simulations confirm that the multibeam approach produces a good model fit for tip deflections, with a root-mean-square deviation (RMSD) in modeled tip deflection of 0.2636 mm. We perform a parameter optimization to produce a best-fit steering model for experimental trials with a RMSD in curvature prediction of <inline-formula><tex-math notation="LaTeX">${\text{1.12}} \times {\text{10}}^{-3} {\text{mm}}^{-1}$</tex-math></inline-formula>.
A Study on the Spatial Dependence of a MEMS Electromagnetic Transducer

A MEMS, silicon-based device with a piezoelectric layer and an integrated magnet is presented for magnetic to electrical transduction. The cantilever structure can be configured either as an energy harvester to harvest power from an AC power line or as an AC current sensor. The positioning of the transducer with respect to the conductor is critical in both scenarios. For the energy scavenger, correct positioning is required to optimize the harvested power. For the current sensor, it is necessary to optimize the sensitivity of the sensor. This paper considers the effect of the relative position of the transducer with respect to the wire on the resulting electromagnetic forces and torques driving the device. It is shown in this paper that it is the net equivalent torque at the anchor that must be considered and not just the vertical component of the magnetic force as has been widely assumed heretofore. We show that for single wire conductors, the commonly made assumption that there exists two symmetrical power peaks at 45° either side of the wire is untrue, but rather that the net driving torque on one side of the wire can be more than an order of magnitude greater than the other. [2018-0173]
Wearable Antennas: Nontextile Versus Fully Textile Solutions

This article provides a few practical guidelines for designing wearable antennas. A crucial requirement for this kind of antenna is to be noninvasive and "invisible" to the final user. To this end, an application-centered approach is required for both the design and the fabrication process, which leads to high cost, thereby limiting the large-scale production of wearable antennas. Accordingly, this article pays particular attention to low-cost and time-saving fabrication techniques that distinguish between nontextile and fully textile antennas.
Quantifying the Presence of Graffiti in Urban Environments

Graffiti is a common phenomenon in urban scenarios. Differently from urban art, graffiti tagging is a vandalism act and many local governments are putting great effort to combat it. The graffiti map of a region can be a very useful resource because it may allow one to potentially combat vandalism in locations with high level of graffiti and also to cleanup saturated regions to discourage future acts. There is currently no automatic way of obtaining a graffiti map of a region and it is obtained by manual inspection by the police or by popular participation. In this sense, we describe an ongoing work where we propose an automatic way of obtaining a graffiti map of a neighbourhood. It consists of the systematic collection of street view images followed by the identification of graffiti tags in the collected dataset and finally, in the calculation of the proposed graffiti level of that location. We validate the proposed method by evaluating the geographical distribution of graffiti in a city known to have high concentration of graffiti – São Paulo, Brazil.
Analysis and Detection of Malware in Android Applications Using Machine Learning

The Android Operating System, being the leading OS for mobile phone devices, is also the primary target for malicious attackers. Applications installed in Android present a way for the attackers to breach the security of the system. Therefore, it is essential to study and analyze Android applications so that malicious applications can be properly identified. Static and dynamic analyses are two major methods by which Android applications are analyzed to segregate malicious applications from the benign ones. This paper presents a study to analyze several Android applications leveraging several machine learning models. Taking different features and applying various classifiers, we show that the dynamic analysis model can hit up to 93% accuracy in detecting malware whereas the static analysis can achieve 81% of accuracy. Moreover, several trending Bangladeshi applications are analyzed as a part of this study resulting into acquisition of interesting insights.
Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke

Cerebral infarct volume (CIV) measured from follow-up non contrast CT (NCCT) scans of acute ischemic stroke (AIS) patients is an important radiologic outcome measure of the effectiveness of ischemic stroke treatment. Post-treatment CIV in NCCT of AIS patients typically includes ischemic infarct only. In around 10% of AIS patients, however, hemorrhagic transformation or frank hemorrhage occurs along with ischemic infarction. Manual segmentation used to segment CIV into these two components in clinical practice is tedious and user dependent. Although automated segmentation methods exist, they can only segment either hemorrhage or ischemic infarct alone. In order to measure post-treatment CIV more efficiently, a novel joint segmentation approach is proposed to segment ischemic and hemorrhage infarct simultaneously. The proposed method makes use of advances in deep learning and convex optimization techniques. Specifically, convolutional neural network learned semantic information, local image context, and high-level user initialized prior are integrated into a multi-region time-implicit contour evolution scheme, which can be globally optimized by convex relaxation. The proposed segmentation approach is quantitatively evaluated using 30 patient images using Dice similarity coefficient and the mean and maximum absolute surface distance, compared to the gold standard of manual segmentation. The results show that the proposed semi-automatic segmentation is accurate and robust, outperforming some state-of-the-art semi-and automatic segmentation approaches.
ELİT FUTBOLCULARDA BİLATERAL VE İPSİLATERAL KUVVET ORANLARININ İNCELENMESİ

istatistiksel anlamlıklara rastlandı (p<0,05). Lateral asimetri oranları ise hem ipsilateral H/Q hemde bilateral O/Q ve H/H oranlarının karşılaştırmalarında sadece 60 o sn -1 açısal hızda anlamlılık tespit edildi (p<0,05). olarak, elit futbolcularda DT taraflarının NDT taraflara göre tüm açısal hızlarda yüksek ürettikleri, yüksek kuvvet gerektiren 60 o sn -1 açısal hızda bilateral ipsilateral kuvvet ortaya çıkardıkları belirlendi. Bu sonuçlara göre, futbolcuların hızlı ancak düşük kuvvet yüksek açısal hızlarda sakatlık eğilimlerinin iki ekstremite içinde benzer olduğu, fakat düşük açısal hızlarda hem bilateral hem de ipsilateral asimetrik farklılık ortaya çıkardıkları görüldü. İstatistiksel açıdan anlamlı olmasına rağmen 60 o sn -1 açısal hızda ortaya çıkan asimetrik farklılıkların literatürde belirtilen ipsilateral için %60-70 bilateral için %90-100 aralığında olması sakatlıkları adına güvenli aralıkta olduklarını gösterdi. ABSTRACT The aim of the present study was to examine bilateral and ipsilateral knee isokinetic strength ratios in elite football players. 30 male (age= 24,15 years, height= 177,59 cm, weight= 72,07 kg and Body Mass Index= 23,09 kg/m 2 ) volunteers who were between 19 and 28 years of age, who had a football training history of at least 10 years and who were actively training participated in the study. Concentric/concentric (Con/Con) knee extension (EX) and flexion (FLEX) isokinetic strength test at angular velocities of 60 o sn -1 , 180 o sn -1 and 240 o sn -1 were applied on the Dominant (DT) and Non-Dominant (NDT) sides of the subjects to calculate bilateral quadriceps/quadriceps (Q/Q) and ipsilateral hamstring/quadriceps (H/Q) ratios. Paired sample t-test was used in the comparison of DT and NDT strength and bilateral and ipsilateral strength ratios. When the subjects’ isokinetic knee EX and FLEX strengths were compared on DT and NDT sides at angular velocities of 60 o sn -1 , 180 o sn - 1 and 240 o sn -1 , statistical significance was found in favour of DT in EX phase of all 60 o sn -1 , 180 o sn -1 and 240 o sn -1 angular velocities (p<0,05). When lateral asymmetry ratios were examined, significance was found only at 60 o sn -1 angular velocity in the comparison of both ipsilateral H/Q and bilateral O/Q and H/H ratios (p<0,05). As a result, it was found that in elite football players, DT sides produced higher strength at all angular velocities when compared with NDT sides and both bilateral and ipsilateral strength differences were found at 60 o sn -1 angular velocity, which requires high strength. According to these results, it was found that tendency for injury was similar in football players for both extremities at high angular velocities which require speed but low strength, while both bilateral and ipsilateral asymmetric differences occurred at low angular velocity. Although statistically significant, the fact that asymmetric differences at 60 o sn-1 angular velocity were between 60-70% for ipsilateral and between 90-100% for bilateral as stated in the literature showed that football players were within the safe range for knee injuries.
Black Hole vs Particle Swarm Optimization

The nature inspired (NI) algorithms have demonstrated their capabilities in solving optimization problems in many domains with the advantage that the solution is obtained faster than using the classical methods. Almost every time a new NI algorithm is proposed the author claims that it is more efficient than other algorithms at least in solving a particular type of problem. Some of them are quite controversial in terms of both performance and novelty. In this paper the capabilities of the Black Hole Algorithm (BHA) are compared to those of Particle Swarm (PSO) and one of its variants - Multi Swarm optimization (MSO). The usage of a movement step scaling factor that leads to BHA performance improvement is proposed. The evaluation was done using a set of benchmark functions. In terms of precision of the results, for low-dimensional problems, PSO and BHA precision is higher than that of MSO, while for high-dimensional problems MSO and BHA perform better than PSO.
Quiz-Enhanced Learning in Elementary School

In modern teaching and new technological environment, a teacher should design activities that will stimulate students to actively participate in the process of acquiring knowledge. The use of quizzes in teaching creates a competitive spirit, develops creativity and accuracy in students, entrusts the activity and motivation of students in the process of acquiring knowledge. This paper examines the effectiveness of the Kahoot quiz in teaching science in the learning of basic concepts of relief in elementary school. The analysis has shown that there is a statistically significant difference in achievement among students who have studied in traditional ways and those who have used the Kahoot quiz. The obtained results are in a positive correlation with the mark in science and showing that there are no differences in achievement between boys and girls. It can be concluded that the quiz as an alternative way of learning has practical use in teaching, which enables cognitive, motivational, emotional and social development of students. Students experience solving the quiz as a game that positively influences the adoption and understanding of teaching material.