Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching Literacy in First-Grade of Primary School During COVID-19 Pandemic

Along with the COVID-19 pandemic, a new era had to be passed in education. The education process in Turkey has been maintained entirely or partially in the form of remote or distance education, or partly face-to-face since the outbreak in the process of being face-to-face education opportunities. This research seeks to examine in-depth how literacy teaching in the first grade, one of the essential processes of primary school education, took place during the pandemic. The research applied a case study, one of the qualitative research methods. In addition, the participants in this research were determined based on criterion sampling. The data were collected using semi-structured interviews with teachers and parents of students and the observations made by one of the researchers in online lessons. The data obtained were analyzed through content analysis. The findings are presented under the themes of "the teaching process, the stakeholders, and the factors that make the teaching process difficult". The conclusion reveals that the pandemic negatively affected the literacy teaching process, as well as every field. In other words, teachers could not get enough support from parents and MoNE so that teachers and parents were anxious.
A Real Beam Sharpening Method Based on STFT for Multiple Moving Targets

A real beam sharpening method based on short-time Fourier transform (STFT) for multiple moving targets is proposed. High speed moving platform radar can’t distinguish multi-point scatters from each other in azimuth direction. In this paper, STFT is combined with constrained iterative de-convolution technology to solve the problem. Firstly, the targets with the same Doppler frequency in the echo are separated by STFT, and then the real beam sharpening is performed on the separated targets by fast constrained iterative de-convolution and constrained iterative de-convolution (FCID-CID) algorithm. This method can successfully sharpen multi-point scatters with different moving speeds, and the azimuth of the target can be accurately located within the allowable range of error.
Clinical Applications of Poly-Methyl-Methacrylate in Neurosurgery: The In Vivo Cranial Bone Reconstruction

Background: Biomaterials and biotechnology are becoming increasingly important fields in modern medicine. For cranial bone defects of various aetiologies, artificial materials, such as poly-methyl-methacrylate, are often used. We report our clinical experience with poly-methyl-methacrylate for a novel in vivo bone defect closure and artificial bone flap development in various neurosurgical operations. Methods: The experimental study included 12 patients at a single centre in 2018. They presented with cranial bone defects after various neurosurgical procedures, including tumour, traumatic brain injury and vascular pathologies. The patients underwent an in vivo bone reconstruction from poly-methyl-methacrylate, which was performed immediately after the tumour removal in the tumour group, whereas the trauma and vascular patients required a second surgery for cranial bone reconstruction due to the bone decompression. The artificial bone flap was modelled in vivo just before the skin closure. Clinical and surgical data were reviewed. Results: All patients had significant bony destruction or unusable bone flap. The tumour group included five patients with meningiomas destruction and the trauma group comprised four patients, all with severe traumatic brain injury. In the vascular group, there were three patients. The average modelling time for the artificial flap modelling was approximately 10 min. The convenient location of the bone defect enabled a relatively straightforward and fast reconstruction procedure. No deformations of flaps or other complications were encountered, except in one patient, who suffered a postoperative infection. Conclusions: Poly-methyl-methacrylate can be used as a suitable material to deliver good cranioplasty cosmesis. It offers an optimal dural covering and brain protection and allows fast intraoperative reconstruction with excellent cosmetic effect during the one-stage procedure. The observations of our study support the use of poly-methyl-methacrylate for the ad hoc reconstruction of cranial bone defects.
A Novel Time-Multiplexed Fully Differential Interface ASIC With Strong Nonlinear Suppression for MEMS Accelerometers

In this article, a novel time-multiplexed fully differential (TMFD) interface ASIC with strong nonlinear suppression is presented. The interface ASIC adopts the half-bridge measurement method and two single-end charge amplifiers in the novel <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> converter instead of the conventional full-bridge sensing structure. The <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> converter can greatly suppress the influence of the common-mode voltage by declining the gain of virtual ground node for charge transfer. As a result, the nonlinearity of the front-end circuit decreases obviously due to the low common-mode disturbance. This article also proposes a TMFD switched-capacitor (SC) programmable gain amplifier (PGA) with continuous output to suppress the fluctuation caused by discrete signals from conventional SC PGA. The readout circuit chip was implemented in a 1P3M 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process. The operating frequency reaches 200 kHz with a power consumption of 2.5 mA from a 3.3-V power supply. Due to the strong nonlinear suppression capability of the proposed interface ASIC, the measuring sensitivity of the accelerometer achieved 0.530 V/g with only a dc-nonlinearity of 0.08%. The experimental results at different operating temperatures indicate that the presented readout ASIC performs great temperature stability. The temperature sensitivity ratio reduces to 0.008% ‰/K. The experimental results indicate that the nonlinearity has reduced significantly compared with conventional readout chips.
Certain Topological Indices of Non-Commuting Graphs for Finite Non-Abelian Groups

A topological index is a number derived from a molecular structure (i.e., a graph) that represents the fundamental structural characteristics of a suggested molecule. Various topological indices, including the atom-bond connectivity index, the geometric–arithmetic index, and the Randić index, can be utilized to determine various characteristics, such as physicochemical activity, chemical activity, and thermodynamic properties. Meanwhile, the non-commuting graph ΓG of a finite group G is a graph where non-central elements of G are its vertex set, while two different elements are edge connected when they do not commute in G. In this article, we investigate several topological properties of non-commuting graphs of finite groups, such as the Harary index, the harmonic index, the Randić index, reciprocal Wiener index, atomic-bond connectivity index, and the geometric–arithmetic index. In addition, we analyze the Hosoya characteristics, such as the Hosoya polynomial and the reciprocal status Hosoya polynomial of the non-commuting graphs over finite subgroups of SL(2,C). We then calculate the Hosoya index for non-commuting graphs of binary dihedral groups.
Cell Tracking by Magnetic Particle Imaging: Methodology for Labeling THP-1 Monocytes with Magnetic Nanoparticles for Cellular Imaging

Magnetic particle imaging (MPI) is a noninvasive tomographic imaging modality for the quantitative visualization of magnetic nanoparticles (MNPs) with high temporal and spatial resolution. The general capability of MPI for cell tracking (e.g., monitoring living cells labeled with MNPs) has successfully been shown. MNPs in cell culture media are often subjected to structural and magnetic changes. In addition to the deteriorating reproducibility, this also complicates the systematic study of the relationship between the MNP properties and their cellular uptake for MPI. Here, we present a method for the preparation of magnetically labeled THP-1 (Tamm–Horsfall Protein-1) monocytes that are used in MPI cell tracking. The method development was performed using two different MPI tracers, which exhibited electrostatic and steric stabilizations, respectively. In the first step, the interaction between the MNPs and cell culture media was investigated and adjusted to ensure high structural and magnetic stability. Furthermore, the influences of the incubation time, MNP concentration used for cellular uptake, and individual preparation steps (e.g., the washing of cells) were systematically investigated. Finally, the success of the developed loading method was demonstrated by the MPI measurements. The presented systematic investigation of the factors that influence the MNP loading of cells will help to develop a reliable and reproducible method for MPI monocyte tracking for the early detection of inflammation in the future.
Analyse probabiliste, étude combinatoire et estimation paramétrique pour une classe de modèles de croissance de plantes avec développement stochastique

Dans cette these, nous nous interessons a une classe particuliere de modeles stochastique de croissance de plantes structure-fonction a laquelle appartient le modele GreenLab. L'objectif est double. En premier lieu, il s'agit d'etudier les processus stochastiques sous-jacents a l'organogenese. Un nouveau cadre de travail combinatoire reposant sur l'utilisation de grammaires formelles a ete etabli dans le but d'etudier la distribution des nombres d'organes ou plus generalement des motifs dans la structure des plantes. Ce travail a abouti a la mise en place d'une methode symbolique permettant le calcul de distributions associees a l'occurrence de mots dans des textes generes aleatoirement par des L-systemes stochastiques. La deuxieme partie de la these se concentre sur l'estimation des parametres lies au processus de creation de biomasse par photosynthese et de son allocation. Le modele de plante est alors ecrit sous la forme d'un modele de Markov cache et des methodes d'inference bayesienne sont utilisees pour resoudre le probleme.
A Novel Multi-Scale Frequency Regulation Method of Hybrid Rectifier and Its Specific Application in Electrolytic Hydrogen Production

Due to the limitation of existing rectifier, it is difficult to realize the multiscale frequency regulation (FR) of rectifier interfaced large-size (multi MW scale) load. To overcome this issue, a novel coordinative control method of hybrid rectifier is proposed to realize multiscale FR, and it is specifically applied in electrolytic hydrogen production (EHP) load. The auxiliary converter in hybrid rectifier is utilized to realize short-time/low-power/small-energy scale FR, such as inertia support during transient state, smoothing the rate of change of frequency and buying time for the action of silicon controlled rectifier (SCR). SCR in hybrid rectifier takes the responsibility of FR of long-time/high-power/large-energy scale, such as primary or secondary FR. The operation characteristic of large-size EHP load is reconstructed so that it obtains the multiscale FR capability. The effectiveness of proposed method is verified by experimental results.
Charge, from EM fields only.

Consider the electric field E about an electron. Its source has been thought a substance called charge, enclosed within a small volume that defines the size of the electron. Scattering experiments find no size at all. Charge is useful, but mysterious. This study concludes that charge is not real. Useful, but not real. Absent real charge, the electric field must look to a different source. We know another electric field, vxB, not sourced by charge. A simple model of the electron, using EM fields only, has been found that generates an electric field vxB very like E. Gauss' law finds the model contains charge, but div vxB cannot find the charge density. The model contains a permanent magnetic flux quantum, configured as a dipole. The dipolar B fields spin around the symmetry axis, accounting for angular momentum. Spin stabilizes the magnetic flux quantum, and creates the vxB electric field. Stability in this model is dynamic. Energy is exchanged between the dipolar magnetic moment and an encircling toroidal displacement current, at the Compton frequency, mc^2/h = 1.24x10^20 Hz. The electric field undulates at this rate, instead of being static like E associated with charge. Absent any real charge, we have to abandon the notion that size of a charged particle is that of a small sack full of charge. The only electric field is vxB, and its source is not charge. What is the size of an electron? Coulomb scattering finds it point-like, but its spinning B fields extend to infinity.
Risk Identification and Analysis in the Development of Medical Devices Among Start-Ups: Towards a Broader Risk Management Framework

Introduction Whilst risk management has become fundamental in the development of medical devices, enforced by regulations and international standards, there is still no comprehensive model that explains how risk management in medical devices’ development should be tackled, especially with regard to the type of risks that should be addressed. Risk management in the medical devices’ development field is currently focused on technical risks, comprising product, usability, and development process risks, in alignment with standards’ requirements and regulations, without giving enough attention to non-technical risks, which include business and project risks. Start-ups within this heavily regulated domain have a key role in the innovation process, yet they suffer a structural lack of tangible, such as financial capacity, and intangible resources such as development, risk management, and regulations’ compliance. Nonetheless, they can still optimize their risk identification coverage beyond the enforced requirements to increase their products’ chances of success. Methods A set of qualitative interviews, serving the adopted grounded theory building research method, with seven start-ups who are involved in the development, commercialization, and quality control of medical devices was accomplished. The purpose was to determine the applied risk management practices and most importantly identify the risk types covered by them. Since every start-up is a project by itself, a sample of project risks, as identified by the project management institute, was utilized to scope the risk coverage and flag missing non-technical risks by the participating start-ups. Results Un-identified risk types, lack of involvement of the right teams, and other related loopholes were presented. Discussion A list of requirements was developed and sketched in a user-friendly risk management framework, which is believed to be crucial in helping start-ups attain successful, safe, and regulatory compliant medical devices production, is shared in the discussion and proposed framework section of this paper.
Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization

Compressed sensing of simultaneously sparse and rank-one matrices enables recovery of sparse signals from a few linear measurements of their bilinear form. One important question is how many measurements are needed for a stable reconstruction in the presence of measurement noise. Unlike the conventional compressed sensing for sparse vectors, where convex relaxation via the $\ell_1$-norm achieves near optimal performance, for compressed sensing of sparse and rank-one matrices, recently it has been shown by Oymak et al. that convex programmings using the nuclear norm and the mixed norm are highly suboptimal even in the noise-free scenario. We propose an alternating minimization algorithm called sparse power factorization (SPF) for compressed sensing of sparse rank-one matrices. Starting from a particular initialization, SPF achieves stable recovery and requires number of measurements within a logarithmic factor of the information-theoretic fundamental limit. For fast-decaying sparse signals, SPF starting from an initialization with low computational cost also achieves stable reconstruction with the same number of measurements. Numerical results show that SPF empirically outperforms the best known combinations of mixed norm and nuclear norm.
Enteric Bacteria and Parasites with Pathogenic Potential in Individuals of the Colombian Indigenous Tribe Kogui

The Kogui tribe is an indigenous population living in Colombia. The prevalence values of some enteric bacteria, parasites and microsporidia in Kogui stool samples (n = 192) were assessed by real-time polymerase chain reaction (PCR). Thus, genus- or species-specifically recorded positivity rates among the Kogui community were assessed. Protozoa were the leading microorganisms in the stool samples of the Kogui, with an average of 1.5 pathogens per sample, followed by bacteria, with 0.6 pathogens per samples and helminths, with 0.3 pathogens per sample. Microsporidia were not detected. Thereby, the majority of detected protozoa comprised species with questionable etiological relevance such as Blastocystis hominis (n = 173) and Dientamoeba fragilis (n = 44), but also a considerable proportion of Giardia duodenalis (n = 71). Cryptosporidium spp. , in contrast, was found in a single instance only. The majority of recorded bacteria were Campylobacter spp. , with a strikingly high proportion of 50% (n = 96), followed by Shigella spp. /enteroinvasive E. coli (EIEC) (n = 14) and Aeromonas spp. (n = 4). The quantitatively most important detected helminths were Ascaris spp. (n = 15), Hymenolepis spp. (n = 14) and Trichuris trichiura (n = 12), followed by Necator americanus (n = 6), Taenia spp. (n = 3) and Strongyloides stercoralis (n = 3) in descending order of abundance. As expected, the Kogui people’s living conditions comprising poverty, lack of access to clean water and simple housing favor a high number of gastrointestinal infections. Preventive approaches are needed to reduce their risk of infection.
The Risk of Cardiovascular Disease According to Chewing Status Could Be Modulated by Healthy Diet in Middle-Aged Koreans

To assess whether a healthy diet could change the risk of cardiovascular disease (CVD)-related chewing difficulty (CD) in relation to age distribution. In a cross-sectional study of 9411 middle-aged Koreans from the KNHANES VII. In this study, the Framingham 10-year general CVD risk prediction equations and the Korean Heathy Eating index (KHEI) were used to assess the 10-year estimated risk of CVD and dietary quality, respectively. CD was experienced by 16.7% of the total subjects. Among subjects with CD, the 10-year estimated CVD risk was 8.71% of the subjects in the 30–49 years age group and 30.38% of those in the 50–64 years age group, which is a difference of approximately 3.5 times. Regardless of age distribution, the total score of the KHEI in subjects who had CD was significantly lower than in those who had no CD (NCD) (p = 0.004 for the 30–49 years age group and p < 0.001 for the 50–64 years age group, respectively). Among the subjects with poor KHEI in the 30–49-year age group, the adjusted odds ratio for the 10-year estimated CVD risk of the subjects with CD was 2.204-fold (95% CI = 1.385–3.506) higher using NCD as a reference. The findings showed that dietary quality could modify the risk for CVD according to chewing status.
Intelligent English Online Classroom Real-Time Feedback System based on Remote Computer Monitoring Algorithms

Intelligent English online classroom real-time feedback system based on the remote computer monitoring algorithms is studied in the paper. The computer monitoring system can use the HTTP protocol in remote communication technology to realize the purpose of real-time monitoring in different regions. The staff only need to use the central console computer and web server to carry out relevant work operations on the related monitoring systems in other regions, and can not only query the pictures monitored by each camera. With this core technology, this paper then consider the novel remote computer monitoring algorithm to implement the English online classroom real-time feedback system. The performance of the system is well validated through the testing.
An Intelligent Food Inventory Monitoring System using Machine Learning and Computer Vision

Due to technological advancements, humans are able to produce more food than ever before. In fact, the food production level is so high that all population could be supported if the food resource is distributed correctly. Yet, it is more than common to see items left expiring on the supermarket shelves, wasting the food resource that could otherwise be useful. Neither are the adverse impacts on the climate due to food disposal in anyone’s favor or interest. This paper proposes an application to identify the stock status of supermarket items, specifically food items, so that supermarket managers can react to the selling status and prevent oversupply. The key tool implemented in the application is computer vision, specifically YOLOv5, which uses convolutional neural networks [1]. The model automatically recognizes and counts the items in a taken picture. We applied our computer vision model to numerous supermarket shelf photos and conducted an evaluation of the model’s precision and speed. The results show that the application is a useful tool for users to log supermarket stock information since the computer vision model, despite lacking slightly in object detection precision, can return a reliable count for well-taken photos. As a platform where such information is shared, the application is therefore a viable tool for store managers to import amounts of food accordingly and for the public to be informed and make smart buying choices.
Fractional order system dynamical behaviors with Beddington-DeAngelis functional response

The present study proposes a fractional order prey-predator model with Beddington-DeAngelis functional response, that the Caputo fractional derivative is applied. There is exploration of the solutions' existence, uniqueness, non-negativity, and boundedness. Stability of all feasible equilibrium points is determined locally by the use of Matignon's condition. Moreover, the researchers also provide sufficient conditions to assure global asymptotic stability for both the predator-extinction equilibrium point and the positive equilibrium point, with selecting a relevant Lyapunov function and the incidence ofHopf-bifurcation is also displayed. Finally, the fractional order effect on the stability behavior of systems is investigated theoretically and also illustrated numerically to support theoretical results. © 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/