Miracle-dz/UniFAR-FTUs huggingface dataset:
Impedance-Based Modeling of a Three-level Converter Under Balanced and Unbalanced Condition for the Stability Analysis of Bipolar LVDC Grids

This paper presents an impedance-based assessment to identify potential instabilities in bipolar LVDC grids where the voltage is controlled by a three-level DC-DC converter. As an essential step to perform the assessment, the small-signal admittance matrix of the three-level DC-DC converter is analytically derived and verified by a non-linear switched model implemented in the EMT-type software PSCAD. It is shown that the converter admittance matrix exhibits non-passive behavior at frequencies above 500 Hz. Furthermore, the non-passivity is found to be dependent on the operating point of the converter. This behavior can negatively interact with resonances of bipolar LVDC systems, e.g. LC-filter resonances, leading to unstable high-frequency oscillations and system instability.
Expression Of Circadian Clock And Cell Cycle Genes In Chronic Lymphocytic Leukemia

Circadian rhythms are endogenous, self-sustained oscillations of multiple biologicalprocesses with approximately 24-hr rhythmicity.Circadian genes and their protein products constitute the molecular components of the circadian oscillator that form positive/negative feedback loops and generate circadian rhythms.The circadian regulation extends beyond clock genes to involve various clock-controlled genes (CCGs) that include various cell cycle genes.Aberrant expression of circadian clock genes could have important consequences on the transactivation of downstream targets that control the cell cycle and on the ability of cells to undergo apoptosis.This may lead to genomic instability and accelerated cellular proliferation potentially promoting carcinogenesis.The current study was carried out to gain further insights into the roles of circadian genes and their downstream targets (cell cycle genes) in chronic lymphocytic leukemia (CLL). We analyzed peripheral blood from 37 CLL patients and equal number of their age- and sex-matched healthy controls for the expression of the four circadian clock and three cell cycle genes.The expression levels of BMAL1, PER1, PER2,MYC, CYCLIN D1 and WEE1 were significantly impaired in CLL cases compared with those in healthy individuals (P < 0.001). BMAL1, PER1, PER2 and WEE1 were found down regulated whereas MYC and CYCLIN D1 were found upregulated.Thisimplies that the deregulated expression of circadian clock genes through their influence on downstream clock-controlled cell cycle genes can play a role in the manifestation of CLL.Moreover, when expression levels of abovementioned genes were compared between shift workers and non-shift workers within the CLL group, the expression levels were more aberrant in shiftworkers compared to non-shift workers.This indicates that circadian dysregulation in terms of shift work may also be a contributing factor in the etiology of CLL. In the current study, serum melatonin levels were also determined in 37 CLL cases and their healthy controls. Serum melatonin levels were found significantly low (P<0.05) in CLL subjects as compared to healthy controls.Furthermore, melatonin levels were found still lower in shift workers as compared to non-shift workers within CLL group. Our results suggest that down regulation of BMAL1, PER1 and PER2 is related to upregulation of Cyclin D1, MYC and down regulation of WEE1 in CLL.Thus, aberrant expression of clock genes can lead to abnormal expression of downstream cell-cycle genes and play a role in the manifestation of CLL.Moreover, low melatonin levels in CLL patients may play a part in deregulation of circadian clock gene expression and shiftwork serves as a further contributing factor to an already perturbed circadian clock genesâ€™ expression and low melatonin levels in CLL.
Non-United Fracture Scaphoid Surgery, Simple Step by Step Precise Technique

Unfortunately the Scaphoid nonunion are lacking all the three elements for union 1. Bindra using microcomputer tomography found “bone trabeculae are more tightly packed and thick at the proximal pole and distal pole In contrast to the waist with the trabeculae are thinnest and sparsely with High numbers of fracture waist and the necessity for a supplement of viable bone cells with highest quality of bone graft.
A Monolithic Forward-View MEMS Laser Scanner With Decoupled Raster Scanning and Enlarged Scanning Angle for Micro LiDAR Applications

This paper reports the design, fabrication, and characterization of a forward-view optical scanner realized by two vertical 2-axis MEMS mirrors integrated on a Silicon Optical Bench (SiOB). The mirror plate sizes of the first and second MEMS mirrors are <inline-formula> <tex-math notation="LaTeX">$0.6\times 0.7$ </tex-math></inline-formula> mm<sup>2</sup> and <inline-formula> <tex-math notation="LaTeX">$1.2\times 1.4$ </tex-math></inline-formula> mm<sup>2</sup>, respectively. With the second MEMS mirror larger, the optical beam will not be truncated even during large-angle dynamic scanning. This dual-mirror configuration also enables multiple scanning modes, <italic>e.g.</italic>, an enlarged 2D field of view (FoV) by combining the scans of both mirrors, and a decoupled raster scanning by actuating the two mirrors separately. Experiments show that the enlarged 2D FoV reached 28°(h)<inline-formula> <tex-math notation="LaTeX">$\times 31^{\circ }$ </tex-math></inline-formula>(v) and the FoV of the decoupled raster scanning reached 38°(h)<inline-formula> <tex-math notation="LaTeX">$\times 8^{\circ }$ </tex-math></inline-formula>(v). The measured first resonances of the two mirrors were 2.09 kHz and 0.85 kHz, respectively. The overall size of the MEMS scanner was only <inline-formula> <tex-math notation="LaTeX">$5.3\times 5.8\times 3.0$ </tex-math></inline-formula> mm<sup>3</sup>, and its weight was 20 mg. This 2-axis forward optical scanner is much smaller and lighter than other two-mirror scanning modules, giving it a great potential for applications in miniature LiDAR for micro-robotics. [2020-0081]
The Frequency and Antimicrobial Resistance of blaTEM and blaCTX-M Genes in Escherichia coli Isolated From Patients With a Urinary Tract Infection

Introduction: The production of β-lactamase in bacteria, especially in Escherichia coli as a prevalent opportunistic bacterium, has caused many problems in patient treatment. β-lactamases are encoded by extended-spectrum β-lactamase (ESBL) genes such as blaTEM and blaCTX-M. We aimed to assess the prevalence and antibiotic sensitivity of β-lactamases encoded by blaCTX-M and blaTEM in E. coli isolated from patients suffering from urinary tract infections (UTIs). Methods: Escherichia coli strains were isolated from the patients’ urine culture presented to medical diagnostic laboratories in Zabol, Iran. The agar disc-diffusion test was performed on Muller-Hinton agar to investigate the antibiotic resistance of these isolates using eight antimicrobial paper discs including gentamicin, tetracycline, co-trimoxazole, norfloxacin, cefuroxime, ampicillin, neomycin, and amoxicillin. A conventional polymerase chain reaction (PCR) was used to detect blaCTX-M and blaTEM. Results: The frequencies of resistance to cefuroxime, norfloxacin, co-trimoxazole, neomycin, amoxicillin, tetracycline, gentamicin, and ampicillin were found to be 45 (90%), 15 (30%), 33 (66%), 33 (66%), 44 (88%), 34 (68%), 4 (8%), and 50 (100%), respectively. Moreover, the prevalence of blaCTX-M was 25 (50%) while that of blaTEM was 16 (32%). Conclusion: Based on the results, gentamicin and norfloxacin can be recommended as effective antibacterials for treating UTI caused by E. coli in the study population. Moreover, the frequency of resistant genes including blaCTX-M and blaTEM was high in the isolated E. coli. Effective control systems including appropriate treatments for ESBL-producing strains are therefore required for humans and food animals.
Development of a Mobile Robotized System for Palletizing Applications

In this paper we present the architecture of a mobile robotized system for logistic applications. The task to be performed consists of extracting items from homogeneous pallets and, subsequently, assembling new pallets with heterogeneous goods. A further requirement is the capability of a safe humanrobot interaction. For such purposes, we employ an autonomous mobile robot, equipped with a serial collaborative arm, a lifting mechanism, and a multi-sensor vision apparatus. The overall system is conceived to handle packages by dragging them aboard the mobile platform. Accordingly, we integrate a conveyor, whose vertical position can be adjusted by means of a scissor lifting mechanism. Thus, packages from different overlapping layers, which compose a generic pallet, can be introduced and stored on board.
An alternative method to compute win probabilities and to measure player productivity in basketball

This paper has proposed an alternative method to compute win probabilities which has been theoretically based, and that has been built upon the concept of estimated possessions. After taking into account the moment of time of each game action and the scoreboard differential, estimated possessions has been computed using a truncated Poisson regression model on a sample of 5,622 play-by-play observations. Once obtained the estimated possessions, the value of each action has been derived from the difference in theoretical probabilities of the potential value of each action reflected in a change in the score differential. Therefore, box-score statistics can be weighted using a context-dependent system of evaluation, and then computing a global index of productivity. As an empirical example, Player Total Contribution (PTC) was taken as an index summarizing the main box-score variables, and it has been showed how this index can change depending on the variations in the time and scoreboard for every play of the game. Consequently, two players with the same box-score performance could have really contributed very different to the winning probability of a team. Future research is needed to make this procedure more easily implemented.
S3-guideline “Dental implants in patients with immunodeficiency” – practice-oriented treatment recommendations - Online DZZ

Department of Oral and Craniomaxillofacial Surgery, University Hospital Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany: Dr. Dr. Fabian Duttenhoefer; Dr. Dr. Marc Anton Fuessinger, Yasmin Beckmann, Prof. Dr. Dr. Rainer Schmelzeisen Department of Oral and Maxillofacial Surgery, HELIOS Dr. Horst-Schmidt-Kliniken, Academic Teaching Hospital University Mainz, Ludwig-Erhard-Str. 100, 65199 Wiesbaden, Germany: Prof. Dr. Dr. Knut A. Grötz Institute of Medical Biometry and Statistics, Medical Data Science, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany: PD Dr. Martin Boekerr Translation from German: Cristian Miron Citation: Duttenhoefer F, Fuessinger MA, Beckmann Y, Schmelzeisen R, Boeker M, Groetz KA: S3-guideline “Dental implants in patients with immunodeficiency” – practiceoriented treatment recommendations. Dtsch Zahnärztl Z Int 2020; 2: 196–199 DOI.org/10.3238/dzz-int.2020. 0196–0199
Grid-frequency Vienna rectifier and isolated current-source DC-DC converters for efficient off-board charging of electric vehicles

This paper is focused on an alternative concept of the EV off-board charging system based on three-level Vienna rectifier operating at grid frequency and two soft-switched, isolated current-source DC-DC converters. Operation principles of the system including a low frequency input stage and DC-DC converters are studied, also using circuit simulations. Then, design issues of vital parts are presented. Finally, a 5kVA laboratory model is shown and selected measurements are provided and discussed.
Stable cryptographic key generation using SRAM based Physical Unclonable Function

Physical unclonable functions(PUFs) are widely used as hardware root-of-trust to secure IoT devices, data and services. A PUF exploits inherent randomness introduced during manufacturing to give a unique digital fingerprint. Static Random-Access Memory (SRAM) based PUFs can be used as a mature technology for authentication. An SRAM with a number of SRAM cells gives an unrepeatable and random pattern of 0’s and 1’s during power on. As it is a unique pattern, it can be called as SRAM fingerprint and can be used as a PUF. The chance of producing more number of same values (either zero or one) is higher during power on. If a particular value present at almost all the cell during power on, it will lead to the dominance of either zero or one in the cryptographic key sequence. As the cryptographic key is generated by randomly taking address location of SRAM cells, (the subset of power on values of all the SRAM cells)the probability of occurring the same sequence most of the time is higher. In order to avoid that situation, SRAM should have to produce an equal number of zeros and ones during power on. SRAM PUF is implemented in Cadence Virtuoso tool. To generate equal zeros and ones during power on, variations can be done in the physical dimensions and to increase the stability body biasing can be effectively done.
LSTM-type Neural Network Implementation on a Processor Based on Neuromatrix and RISC Cores for Resource-Limited Applications

In this paper, we consider the implementation of a recurrent artificial neural network LSTM on the NM6407 digital signal processor (DSP) that is optimized for performing vector and matrix calculations. It contains two NeuroMatrix NMC4 cores, each of which includes RISC processor and vector coprocessor. The architectural features and processor resources are considered, as well as an assessment of its performance in the implementation of the LSTM network to solve a typical classification problem. The implementation of this type of network on the NM6407 tensor core accelerated computations by a factor of 15–350 compared to a scalar processor.
Parkinson's Disease Detection Using Voice and Spiral Drawing Dataset

Medical data analysis is one of the important application of data mining and the important applications of medical data analysis are Parkinson's disease. The patients affected with Parkinson's get the brain cells damaged due to poor nerve condition. The symptoms start mild and increase over time. The symptoms include difficulty in hand and leg movement, poor thinking ability etc. Doctors currently detect Parkinson's disease using MRI and PET scans or by using mini-mental state exams. Our proposed system is a predictive model that uses the combination of voice data set and spiral drawing dataset and gives the intensity of the Parkinson's disease for affected persons.
A Social Network Analysis of the Malayalam Novel Balyakalasakhi

In this paper, we present a network analysis of Vaikom Muhammed Basheer’s novel Balyakalasakhi. We filter out the characters based on their presence and impact on the plot, and build networks based on certain social events between the characters. We analyse the characters using static and dynamic methods, compare the results, and see how the dynamic methods can minimise the limitations of the static methods.
SISO Control Strategy of Resonant Dual Active Bridge with a Tuned CLC Network

This paper proposed a linear state-space model for a resonant dual active bridge with a tuned capacitor-inductor-capacitor network which is applied to an energy storage system. The proposed model is used for predicting the behavior of the proposed system and estimated the state variables under large signal variation. Using the proposed model, a decoupled control strategy was designed which realizes the high frequency link currents control and also improves the efficiency of the converter. By applying the steady-state relationship between state variables and the system inputs, the controller was simplified to a single proportional integral (PI) controller instead of from three PI controllers, which was implemented on a low cost digital signal processor and verified experimentally.
Real Time DSP Implementation of Dual Digital Controllers for Shunt Active Power Filter

This paper proposes the implementation of digital controlled single phase voltage source inverter (VSI) shunt active power filter (APF) proto type which adopts the combination of dual digital control algorithms in line current harmonics suppression and power factor (PF) improvement. The proposed VSI shunt APF proto type results in reducing the line current harmonics and forces it to be pure sine wave and in phase with its voltage. The dual digital controllers proposed are: a mathematically simplified and concise artificial neural network (ANN) technique using an improved delta rule learning algorithm for extracting the harmonic components and a bandless digital hysteresis switching architecture. A digital signal processor (DSP) microcontroller (TMS320F28335) verifies the proposed VSI shunt APF proto type implementation which harnessed the proposed algorithms interaction effectively. Experimental results validates the MATLAB/SIMULINK simulation results which found to conform to IEEE 519-1992 harmonic norms.
An Internet of Things (IoT) based Implementation of Smart Digital City Prototype

Smart City is always considered as a standout amongst the most encouraging and noticeable Internet of Things (IoT) applications. Over the past few years, smart city idea plays a vital role in both academia and industry, with the improvement and arrangement of different middleware stages. To stay pertinent, the urban communities are required to wind up smarter, slender, and increasingly associated. IoT helps to build the world's largest urban communities at a sensational rate. Many designs have been proposed for the implementation of smart city in past few years but the proposed model of smart city uses smart phone for GUI interface. As in this modern digital era almost every person has smartphone to ensure that there is no need for extra hardware in user interface. This paper proposes four modules entitled as smart parking, smart garbage management, intelligent street management, and weather monitoring system. As there exists more research works on smart parking paradigm, the proposed model is more advanced, where it uses the mobile phone camera to check the status of empty parking. Intelligent weather monitoring system is deployed on the ThinkSpeak cloud platform.
Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design

In this paper, a full-bridge modular multilevel converter (MMC) and two half-bridge-based MMCs are evaluated for high-current low-voltage e.g. 100 – 400V DC-applications such as electrolysis, arc welding or datacenters with DC-power distribution. Usually, modular multilevel converters are used in high-voltage DC-applications (HVDC) in the multiple kV-range, but to meet the needs of a high-current demand at low output voltage levels, the modular converter concept requires adaptations. In the proposed concept, the MMC is used to step-down the three-phase medium-voltage of 10kV, and provide up to 1 MW to the load. Therefore, each module is extended by an LLC resonant converter to adapt to the specific electrolyzers DC-voltage range of 142 – 220V and to provide galvanic isolation. The six-arm MMC converter with half-bridge modules can be simplified and optimized by removing three arms, and thus halving the number of modules. In addition, the module voltage ripple and capacitor losses are decreased by 22% and 30% respectively. By rearranging the components of the half-bridge MMC to build a MMC consisting of grid-side full-bridge modules, the voltage ripple is further reduced by 78 % and capacitor losses by 64 %, while ensuring identical costs and volume for all MMCs. Finally, the LLC resonant converter is designed for the most efficient full-bridge MMC. The LLC can not operate at resonance with a fixed nominal module voltage of 770V because the output voltage is varying between 142 – 220V. By decreasing the module voltage down to 600V, additional points of operation can be operated in resonance, and the remaining are closer to resonance. The option to decrease the module voltage down to 600V, increases the number of required modules per arm from 12 to 15, which requires to balance the losses of the LLCs and the grid-side stages.
3D Joints Estimation of the Human Body in Single-Frame Point Cloud

Joint estimation of human body in point cloud is a key step for tracking human movements. In this work, we present a geometric method to achieve detection of the joints from a single-frame point cloud captured using a Time-of-Flight (ToF) camera. Three-dimensional (3D) human silhouette, as global feature of the single-frame point cloud, is extracted based on the pre-processed data, the angle and aspect ratio of the silhouette are subsequently utilized to perform pose recognition, and then 14 joints of human body are derived via geometric features of 3D silhouette. To verify this method, we test on an in-house captured 3D dataset containing 1200-frame depth images, which can be categorized into four different poses (upright, raising hands, parallel arms, and akimbo). Furthermore, we test on a subset of the G3D dataset. By hand-labelling the joints of each human body as the ground truth for validation and benchmarks, the average normalized error of our geometric method is less than 5.8 cm. When the distance threshold from the ground truth is 10 cm, the results demonstrate that our proposed method delivers improved performance with an average accuracy in the range of 90%.
Assessment of chronic kidney disease-mineral and bone disorder in hemodialysis patients according to biomarkers value

Introduction: End-stage renal disease (ESRD) patients are complicated by various disorders including renal osteodystrophy. There are new guidelines for the management of chronic kidney disease-mineral and bone disorder (CKD–MBD). Objectives: The aim of the study was to determine the frequency of CKD-MBD in hemodialysis patients in Lorestan province, Iran according to KDIGO. Patients and Methods: This descriptive, cross-sectional study was carried out on all of the ESRD patients being managed in the hemodialysis centers of Lorestan University of Medical Sciences in 2017. Demographic data were prepared by a questionnaire, and laboratory values by fasting blood samples. Statistical analyses were done by SPSS software at a significance level of 0.05. Results: Out of 110 patients, 42 (38.2%) were female. Sixty-one (55.5 %) of the patients had intact PTH (iPTH) values in the normal range. Patients’ serum calcium values ranged between 5.86 to 11.06 mg/dL; 41(37.3%) of the subjects had serum calcium out of the normal range. The level of serum phosphorus was in normal range in 31 (28.2%) patients. The level of alkaline phosphatase ranged from 134 to 1578 mg/dL; while, 55 patients (50%) had normal values. Vitamin D as 25 (OH) Vit D was in normal range in 30 (27.3 %) patients. Conclusion: The frequency of CKD-MBD is very considerable in our patients because about 100% of our patients have at least one of the biomarkers values to be abnormal. More than forty percent of our patients had iPTH values below or above KDIGO 2017 of target range. Low iPTH values were frequent in our study. We found strong positive correlation between Alp and PTH level, and Alp is a suitable substitute for PTH. Vitamin D values should be regularly checked in our patients because more than 70% of the patients had values below normal range. Modification in dietary regimen, quality of dialysis and regularity in taking drugs in our patients is necessary.