Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Geolocation Data: An Inquiry-based Methodology Used in Lower Secondary Education

: The presented research study is focused on building conceptual knowledge of pupils in the field of data representation and tools for their processing using the inquiry-based methodology (the 5E model was applied). We have chosen geolocation data as a less traditional type of data, which also provides an opportunity for a non-traditional form of teaching computer science outdoors using mobile technology. Pupils’ task is to determine suitable tools for processing geolocation data. They analyze a GPX file’s contents and formulate questions that can be answered from the available data. During the outdoor phase of the learning scenario, pupils produce an original GPS drawing and share it in a common digital map. Data collected from teachers who implemented the proposed methodology in several primary schools confirmed that our methodology based on the IBL principles was successful in achieving educational goals at higher levels of Bloom’s taxonomy. The teachers were also confirming that combining the inquiry approach with using mobile technology stimulates pupils' interest in the subject of teaching significantly.
Duplicated Inferior Vena Cava Thrombosis Mimicking Acute Pancreatitis in a COVID-19 Patient

An 86-year-old woman with a recent hospitalization for severe coronavirus disease 2019 (COVID-19) infection presented to the emergency department with abdominal discomfort and bilateral leg swelling. She was mildly tachycardic on physical exam, with superficial abdominal vessel dilation and bilateral lower extremity edema. Her laboratory results were significant for a mildly elevated lipase of 260 U/L (normal range: 0-160 U/L) and a positive COVID-19 PCR test. CT of the abdomen and pelvis did not show any pancreatic abnormality but revealed a duplicated inferior vena cava (IVC) with a thrombus located in the right IVC. The patient was subsequently placed on full-dose anticoagulation with the eventual achievement of clot lysis. It appears that the incidence of thrombosis, including IVC thrombosis, has been on the rise due to COVID-19-associated coagulopathy; therefore, a high index of clinical suspicion in these cases may prove to be lifesaving.
Low edge safety factor disruptions in the Compact Toroidal Hybrid: Operation in the low-q regime, passive disruption avoidance and the nature of MHD precursors

The nominally axisymmetric (2-D) magnetic configuration in the form of a tokamak has proven to be the best candidate for a future reactor, and yet it is susceptible to instabilities which lead to a complete loss of the confined plasma. Some of these instabilities are on account of the toroidal plasma current required to establish a magnetic cage to hold the plasma. On the other end of the spectrum is the non-axisymmetric (3-D) magnetic configuration of the stellarators in which the a robust magnetic cage is provided by the external coils, with no need for a plasma current. For the application as a fusion reactor, non-axisymmetric shaping of toroidal plasmas is expected to be incorporated in the design of future experiments (Spong 2015). Small amounts of non-axisymmetric magnetic fields have been used in improving the stability and control of the tokamak plasmas (Spong 2015). The effect of varying amounts of shaping effects in the hybrid configurations of current carrying stellarators, has been demonstrated to suppress unstable magnetohydrodynamic (MHD) modes (W VII-A Team 1980, Hirsch et al. 2008, Atkinson et al. 1976). This thesis presents an understanding of the 3-D structure of the MHD modes observed in the current carrying plasmas of the Compact Toroidal Hybrid (CTH) device. Also presented is the 3-D shaping effect of stellarator fields on the stability of current carrying plasmas. CTH is a stellarator-tokamak hybrid device designed to investigate the stability of current-carrying plasmas. The magnetic configuration of CTH is non-axisymmetric like that of a stellarator, while on account of a toroidal plasma current, some of the equilibrium properties are similar to that of a tokamak. The flexible CTH magnetic configuration allows varying the amount of 3-D shaping by modifying the twist of the magnetic field lines, known as the rotational transform. In current carrying CTH plasmas when the rotational transform, ῑ, assumes rational values, fluctuations in equilibrium magnetic field are measured by
Study of Compressive Sensing Based Sparse Channel Estimation in OFDM Systems

A new method of orthogonal frequency division multiplexing(OFDM) sparse channel estimation based on compressive sensing(CS) is proposed.One of the CS algorithms,orthogonal matching pursuit(OMP),is used to estimate the channel impulse response of OFDM system.Simulations have shown that the OMP estimation has good performance but with less pilots than conventional least square estimation.Therefore,the spectral efficiency of the system can be improved.In OMP estimation,the optimal number and optimal location of pilots are ascertained by simulations and basic CS theories.
Cosmic and thermodynamic study of non-canonical scalar field in parameterized modified gravity

Cosmological and thermodynamic implications of non-canonical scalar field are investigated in the cubic gravity by assuming various parameterizations (linear, Chevallier-Polarski-Linder and Jassal-Bagla-Padmanabhan) and recently proposed entropies (Tsallis and Sharma-Mittal). We develop the expressions for Hubble (H) and deceleration (q) parameters in each case and find consistent values with the observational data as H 0 ≃ 67.0, q 0 = − 0.55 ± 0.15. We investigate the perturbed squared speed of sound (Cs2) parameter in terms of redshift parameter (z) which leads to the stability for all models. It is also found that the generalized second law of thermodynamics holds for Tsallis as well as for Sharma-Mittal entropies in all the cases of parameterizations.
Smartphone Applications Using Bytewalla Protocol in Delay Tolerant Network

In Android platform, the Delay Tolerant Network (DTN) service and protocol stack and these presents an implementation of it that technique is called "Bytewalla". This technique allows the use of Android phones for the physical carriage of data or information between the network nodes in which where there are no other communication between network nodes are available, for certain security issues the existing links need to be avoided or in some case the internet is blocked by a government authority like it happened in some countries eg. Arab country during the spring of 2011. This technique deals with an implementation of two applications that runs on top of Bytewalla, are addressed together with some usage scenarios and those two applications are store and forward messaging application (SFMA) and a Sentinel Surveillance health-care application (SSA). We concluded that the combination of DTN links in the wide-ranging IP-network architecture on mobile phone platform is feasible and it will make this easier to integrate DTN applications into communication-delayed areas. To best of our knowledge the implementation of the bundle protocol on the Android platform is the first in DTN application.
Carotid endarterectomy with stent removal for recurring in-stent restenosis: A case report and literature review

Background: Percutaneous transcatheter angioplasty (PTA) and carotid artery stenting (CAS) are often performed repeatedly for in-stent restenosis (ISR) after CAS. Only a few reports describe the treatment for repeated ISR. Furthermore, only a few reports describe carotid endarterectomy (CEA) after CAS; thus, the evidence for this procedure is insufficient. Case Description: Herein, we describe a case in which CEA with stent removal was performed in a patient with repeated ISR after CAS. A 78-year-old man presented with dysarthria and slight left limb weakness. CAS was performed for the right internal carotid artery stenosis. ISR occurred again and PTA and stenting were performed. After the second CAS, ISR occurred again. CEA with stent removal was performed. After the CEA with stent removal, the patient experienced no restenosis or other complications. Conclusion: CEA with stent removal can be a good option for treating repeated ISR after CAS.
circHtra1/miR-3960/GRB10 Axis Promotes Neuronal Loss and Immune Deficiency in Traumatic Brain Injury

Circular RNAs (circRNAs) are abundant in the brain and contribute to central nervous system diseases; however, the exact roles of circRNAs in human traumatic brain injury (TBI) have not been established. In this study, we used a competing endogenous RNA (ceRNA) chipset as well as in vitro and in vivo assays to characterize differentially expressed circRNAs in TBI. We detected 3035 differentially expressed circRNAs in the severe TBI group, 2362 in the moderate group, and 433 in the mild group. A ceRNA network was constructed. The circRNA has_circ_0020269 (circHtra1) was significantly upregulated after brain insults and was correlated with the severity of injury. circHtra1 inhibited cell proliferation and promoted apoptosis, and its knockdown reversed these effects. Further analyses revealed that circHtra1 functions as a miR-3960 sponge and increases the expression of GRB10, which is involved in NK cell infiltration after TBI. circHtra1 was identified as a target of the IGF-1/ADAR1 axis. Reduced expression of ADAR1 (involved in A-to-I editing) after brain insults upregulated circHtra1. Our results show that circHtra1 promotes neuronal loss by sponging miR-3960 and regulating GRB10 and apoptosis during brain insults. In addition, A-to-I editing could regulate circRNA expression profiles after TBI, and circHtra1 is a potential therapeutic target.
FFBAT-Optimized Rule Based Fuzzy Logic Classifier for Diabetes

In the last two decades, developing countries are facing heavy increase in diabetes among their population that is leading to other severe diseases. Hence, there is a great need to develop some effective prediction methods to prevent diabetes. In this paper an attempt has been made to develop Firefly-BAT (FFBAT) optimized Rule Based Fuzzy Logic (RBFL) prediction algorithm for diabetes. The algorithm has two main steps. First, Locality Preserving Projections (LPP) algorithm is used for feature reduction and then classification of diabetes is done by means of RBFL classifier. LPP algorithm has been used to identify the related attributes and then the fuzzy rules are produced from RBFL. The rules are optimized using FFBAT algorithm. Next, the fuzzy system is designed with the help of optimized fuzzy rules and membership functions that will classify the diabetes data. FFBAT is the optimization algorithm which combines the features of BAT and Firefly (FF) optimization techniques. The experiment analysis shows that the RBFL-FFBAT algorithm outperforms the existing approaches.
Chatbots for the Detection of Covid-19: A Systematic Review of the Literature

At present, the development of chatbots is one of the key activities for the diagnosis of Covid-19. The aim is to understand how these chatbots operate in the health area to make a respective diagnosis. The purpose of the research is to determine the state of the art on the use of chatbots and its impact on Covid-19 diagnosis during the last 2 years. The data sources that have been consulted are IEEE Xplore, Taylor & Francis Online, ProQuest, World Wide Science, Science Direct, Microsoft Academic, Google Scholar, ACM Digital Library, Wiley Online Library, and ETHzurich. The search strategy identified 5701 papers, of which 101 papers were selected through 8 selection criteria and 7 quality assessments. This review presents discussions regarding the methodologies used for chatbot development, i.e., what are the purposes and impact of using chatbots for Covid-19 diagnosis. In addition, this is presents the results of how important the development and implementation of chatbots are in the area of health in the face of this pandemic.
Comparison of Indocyanine Green Angiography and Swept-Source Wide-Field Optical Coherence Tomography Angiography in Posterior Uveitis

Purpose To compare indocyanine green angiography (ICGA) and swept-source wide-field optical coherence tomography angiography (SS-OCTA) for the assessment of patients with posterior uveitis. Method SS-OCTA montage images of 5 x 12 x 12 mm or 2 x 15 x 9 mm, covering ~70–90 degree of the retina of consecutive patients with posterior uveitis were acquired. The choriocapillaries and choroidal slabs were compared to findings on ICGA. Results Sixty-eight eyes of 41 patients were included (mean age 47.2 ± 20.4 years; 58.5% female). In 23 (34%) lesions were visible on OCTA, but not discernable on ICGA. In turn, out of the 45 eyes with clearly discernable lesions on ICGA, 22 (49%) and 21 (47%) eyes showed no corresponding areas of flow deficit on OCTA in the CC and choroidal slab, respectively. Lesion size strongly correlated among ICGA and OCTA choriocapillaries- (CC) (r = 0.99, p ≤ 0.0001) and choroidal slabs (r = 0.99, p ≤ 0.0001), respectively. The mean lesion size on the late frames of ICGA (8.45 ± 5.47 mm2) was larger compared to the lesion size on OCTA CC scan (7.98 ± 5.47 mm2, p ≤ 0.0001) and choroidal scan (7.69 ± 5.10 mm2, p = 0.002), respectively. The lesion size on OCTA CC scan was significantly larger than on the OCTA choroidal scan (p ≤ 0.0001). Conclusion SS-wide field OCTA may be a promising tool to assess posterior uveitis patients and may replace ICGA to a certain extent in the future.
A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images

Single-sensor multispectral cameras generally utilize a multispectral filter array (MSFA) to sample spatial-spectral information for a reduced capturing time. However, in this situation, each pixel in an MSFA image only contains information from a single channel. Thus, demosaicking is necessary to reconstruct a full-resolution multispectral image from the raw MSFA image. In this paper, we propose a novel end-to-end deep learning framework based on pseudo-panchromatic images (PPIs), which consists of two networks, namely the Deep PPI Generation Network (DPG-Net) and Deep Demosaic Network (DDM-Net). Among them, we first pre-train DPG-Net to reconstruct a full-resolution panchromatic image from the raw MSFA image and then jointly train both networks to recover a full-resolution multispectral image, followed by fine-tuning both networks with fewer restrictions. Experimental results reveal that the proposed method outperforms state-of-the-art traditional and deep learning demosaicking methods both qualitatively and quantitatively.
Analysis of Social Networks of Students' Learning with a Focus on Their Performance

: The low performance of students in high school is a problem that has had considerable growth due to the constant transformations generated by the current pandemic. The formation of groups to develop collaborative work in the classroom is a rich tool that can effectively develop Collective Knowledge, provided there is planning. Furthermore, through the analysis carried out, we realised that the way the learning occurs affects the students' performance and can be reorganised by the teachers to enable a better group (and even individual) development within the group.
EFFECT OF SAGE AND NEEM AQUEOUS LEAF EXTRACTS ON GROWTH, CARCASS AND HEMATOLOGICAL PARAMETERS OF GROWING APRI RABBITS UNDER SUMMER AND WINTER CONDITIONS

: The objective of this study was to determine the effects of daily oral administration of aqueous leaves extracts of Salvia officinalis L. (sage) and Azadirachta indica L. (neem) on growth performance , carcass characteristics and hematological parameters of growing rabbit under summer and winter conditions. Rabbits were classified into four equal groups 10/each, in two trails of growth, 40 rabbit's /each trail. The first group was served as a control, the second received 200 mg/kg of body weight of aqueous leaves extract of sage (SAE), the third received 50 mg/kg of body weight of aqueous leaves extract of neem group. It can be concluded that there were significant interactions between season and treatments on the growth performance, carcass traits and hematological parameters except the FI and RT parameters. Conclusively, the present study suggests that the dietary leaf extract has performed a good nutritional supplement by enhancing growth performance and health guidelines of APRI growing rabbits against stressful conditions especially during summer season.
PBMNCs Treatment in Critical Limb Ischemia and Candidate Biomarkers of Efficacy

When in critical limb ischemia (CLI) the healing process aborts or does not follow an orderly and timely sequence, a chronic vascular wound develops. The latter is major problem today, as their epidemiology is continuously increasing due to the aging population and a growth in the incidence of the underlying diseases. In the US, the mean annualized prevalence of necrotic wounds due to the fact of CLI is 1.33% (95% CI, 1.32–1.34%), and the cost of dressings alone has been estimated at USD 5 billion per year from healthcare budgets. A promising cell treatment in wound healing is the local injection of peripheral blood mononuclear cells (PBMNCs). The treatment is aimed to induce angiogenesis as well to switch inflammatory macrophages, called the M1 phenotype, into anti-inflammatory macrophages, called M2, a phenotype devoted to tissue repair. This mechanism is called polarization and is a critical step for the healing of all human tissues. Regarding the clinical efficacy of PBMNCs, the level of evidence is still low, and a considerable effort is necessary for completing the translational process toward the patient bed site. From this point of view, it is crucial to identify some candidate biomarkers to detect the switching process from M1 to M2 in response to the cell treatment.
A novel 3300V conductivity modulation enhanced IGBT with P-type Schottky contact and partial N-type buried layer

A novel 3300V conductivity modulation enhanced planar gate IGBT (CE-IGBT) with P-type Schottky contact and partial N-type buried layer is proposed. The proposed CE-IGBT features a P-type Schottky contact between the P-base region and emitter metal as well as a partial highly-doped N-type buried layer located in the P-base region. The Schottky contact forms a hole barrier by increasing the potential of the P-base region and the N-type buried layer suppresses the hole flowing above it. The simulation results show that compared with the conventional planar gate IGBT (Con-IGBT), the proposed CE-IGBT not only reduces the on-state voltage drop (Vceon) but also improves the trade-off relationship between the Vceon and turn-off power loss (Eoff). Compared with the Con-IGBT, the Vceon of the CE-IGBT with same P-base doping concentration is reduced by 32.7%, and the CE-IGBT pro with same threshold voltage (Vth) is reduced by 30.9%. At same Vceon of 2.65 V, compared with the Con-IGBT, the Eoff of the CE-IGBT and CE-IGBT pro is reduced by 37.3% and 34.9%, respectively. Moreover, the proposed device demonstrates good reverse biased safe operating area (RBSOA).
About the preliminary design of the suspension spring and shock absorber

The aim of this paper is to give some recommendation for the design of main-spring and shock absorber of motor vehicle suspensions. Starting from a 2DoF model, the suspension parameters are transferred on the real vehicle on the base of planar schemes for the linkage. For the coil spring, the equations that must be fulfilled simultaneously permit to calculate three geometrical parameters. The indications presented for the shock absorber permit to obtain the damping coefficients in the compression and rebound strokes and to calculate the power dissipated during the vehicle oscillatory movement.
The impact of the COVID-19 pandemic on work organization

In today's fast-paced environment, business organizations are faced with the need for introducing frequent changes in order to overcome everyday challenges and improve their performance. Organization of work is one of the key elements in the adjustment to market changes, and the basis of enterprise transformation. Apart from continuous market competition, the COVID-19 pandemic and its impacts have brought about a special type of business challenge. The new situation requires even stronger cooperation between management and employees, trusting relationship and understanding of necessary changes in order to maintain business continuity in very challenging pandemic conditions. Emergencies and numerous changes in response to a challenging situation can very often disrupt normal business organization and operation. This study focuses on the role of remote work (working from home) during the COVID-19 pandemic. The theoretical framework of this paper is based on the relationship between technology, agile organizations and working from home during the coronavirus crisis.
Control strategy for variable stiffness actuators in belateral teleimpedance interaction tasks

Teleoperated robots featuring impedance control provide a safe and flexible solution for various interaction tasks. Variable stiffness actuators cater to this control strategy with inherent mechanical impedance. This paper presents a strategy for bilateral teleimpedance control of variable stiffness actuators with the primary goal of remotely interacting with an unknown environment. Simulations and experiments on the vsaUT-II validate the control law and a haptic interface is employed to demonstrate full-system closed-loop teleoperation behaviour.
Phosphorus in water: A review on the speciation analysis and species specific removal strategies

Abstract Elemental phosphorus (P) is key to all life forms on earth. Efficient P management and control in natural environments especially in water bodies is of paramount importance to the balance and stability of the ecosystem on both local and global scales. In the past decades, there have been numerous efforts devoted to the P analysis as well as on its efficient removal in water. However, natural occurrence of P species is in diverse forms with different properties, some even yet to be known, posing challenges to current analytic methods and removal technologies. In this review, we make an attempt to clarify the current advances on the analysis of different P species in water as well as the corresponding removal strategies. We hope to provide a new perspective for P management purpose, i.e., linking the P speciation analysis with the removal strategies, and offer a complementary guidance for researchers that are normally specialized in either field. Moreover, we envision future directions in both fields, and address the need for the development of P species-orientated removal strategies with high efficiency and selectivity based on advanced analytic technologies. Graphical abstract
Learning with noisy class labels for pin defect detection in transmission lines

Pin is an important component in transmission line, which plays a role of fixing nut. However, the pin defect is small, which will inevitably produce noise during the annotation. Noisy annotations are harmful for the learning of model. Hard example mining is a common technique in pin defect detection, which is sensitive to noise. As far as we know, there is no work that considers both hard case mining and noise robustness for pin defect detection. The existing noise robust methods have poor performance for pin defect detection. In this paper, we explored the combination of noise robustness and hard example mining for pin defect detection. We found that noise had little influence in the early stage of training. Based on the above observation and combined the existing method, we proposed a noise distillation and correction (NDC) method, which distilled data in the mature training stage, then reduced their loss weights and corrected the noise label. NDC is not only simple, but also does not add any operations during testing. Extensive experiments show that our method achieves the state-of-the-art performance.