Miracle-dz/UniFAR-FTUs huggingface dataset:
Student's worksheet with guided inquiry approach on sub materials of endocrine system enriched with reducing process of diabetic blood sugar levels

The use of student’s worksheets as teaching materials and supporting learning activities is still not evenly distributed. The components are sometimes incomplete. This study aims to describe the development and determine the feasibility of guided inquiry-based worksheets as teaching materials for the endocrine system sub material for second-grade of high schools. This study used a 4D development model limited to three defining, designing, and developing stages. The student’s worksheets were designed based on the problems obtained from interviews with biology teachers in three different schools. At the development stage, the worksheets were validated by five validators consisting of two lecturers and three biology teachers in Pontianak. The validation assessment contained four aspects: the feasibility of the content/material, language, presentation, and graphics with 19 criteria. The student’s worksheet was successfully developed with enrichment in the form of discourse analysis activities related to diabetes and the process of lowering blood sugar levels by plant extracts with guided inquiry stages. The feasibility analysis results of the guided inquiry-based student’s worksheet obtained CVR and CVI values of 1 each so that product can be declared ready for the limited and extensive trial phase. However, the significance of the enrichment topics in this student’s worksheet still needs to be re-examined directly in the teaching and learning process in the Endocrine System Sub material for second grade of high school in both small and large scales groups.
A unified framework for non-classicality: emergence of non-locality and entanglement

Non-classical probability (along with its underlying logic) is a defining feature of quantum mechanics. A formulation that incorporates them, inherently and directly, would promise a unified description of seemingly different prescriptions of non-classicality of states that have been proposed so far. This paper sets up such a formalism. It is based on elementary considerations, free of ad-hoc definitions, and is completely operational. It permits a systematic construction of non-classicality conditions on states. As important applications, we show the emergence of two important criteria, non-locality and entanglement, as consequences of breakdown of classically valid elementary logical propositions.
Upper critical field for electrons in a two-dimensional lattice

We address a problem of the upper critical field in a lattice described by a two-dimensional tight-binding model with the on-site pairing. We develop a finite-system-approach which enables investigation of magnetic and superconducting properties of electrons on clusters, consisting of a few thousand sites. We discuss how the quasiparticle density of states changes with the applied external magnetic field and present the temperature dependence of the upper critical field. We also briefly discuss possible extension of the model to account for the properties of high-temperature superconductors.
Impact of needle type on substitution volume during online hemodiafiltration: plastic cannulae versus metal needles

Background Plastic cannulae have attracted increasing interest as an alternative to traditional metal needles with the aim of reducing cannulation-related complications. We investigated whether the substitution volumes during hemodiafiltration differ using these two types of needles in dialysis patients. Methods An intervention study involving 26 hemodialysis patients was conducted in Korea between March and September in 2021. Patients first received online hemodiafiltration using traditional metal needles, and thereafter plastic cannulae were used in a stepwise protocol. Repeated-measures design and linear mixed-effect models were used to compare substitution volumes between the two needle types with the same inner diameter. Results The mean patient age was 62.7 years, and their mean dialysis vintage was 95.2 months. Most patients (92.3%) had an arteriovenous fistula as the vascular access. The substitution volume increased as blood flow and needle size increased for both plastic cannulae and metal needles. The substitution volume was significantly higher with 17-gauge (G) plastic cannulae than with 16-G metal needles at blood flow rates of 280, 300, and 330 mL/min. Similar results were obtained for 15-G metal needles and 16-G plastic cannulae at a blood flow rate of 330 mL/min. However, the patient ratings of pain on a visual analogue scale were higher for plastic cannulae. Conclusion Higher substitution volumes were obtained at the same prescribed blood flow rate with plastic cannulae than with metal needles during online hemodiafiltration. Plastic cannulae are an option for achieving high-volume hemodiafiltration for patients with low blood flow rates.
On the distributions of pulsar glitch sizes and the inter-glitch time intervals

The glitch size, Δν/ν, inter-glitch time interval, ti, and frequency of glitches in pulsars are key parameters in discussing glitch phenomena. In this paper, the glitch sizes and inter-glitch time intervals are statistically analyzed in a sample of 168 pulsars with a total of 483 glitches. The glitches are broadly divided into two groups. Those with Δν/ν < 10−7 are regarded as small size glitches, while those with Δν/ν ≥ 10−7 are considered as relatively large size glitches. In the ensemble of glitches, the distribution of Δν/ν is seen to be bimodal as usual. The distribution of inter-glitch time intervals is unimodal and the inter-glitch time intervals between small and large size glitches are not significantly different from each other. This observation shows that inter-glitch time intervals are size independent. In addition, the distribution of the ratio Δν/ν : ti in both small and large size glitches has the same pattern. This observation suggests that a parameter which depends on time, which could be the spin-down rate of a pulsar, plays a similar role in the processes that regulate both small and large size glitches. Equally, this could be an indication that a single physical mechanism, which could produce varying glitch sizes at similar time-intervals, could be responsible for both classes of glitch sizes.
21 Centimeter H I Line Observations of the Cygnus Loop

Twenty-one centimeter neutral hydrogen line observations of the Cygnus Loop have been made with the Dominion Radio Astrophysical Observatory's Synthesis and 26 m telescopes. Spectral line maps in 128 channels with 1.65 km s-1 velocity separation were constructed for a 6° square field encompassing the Cygnus Loop. A number of H I features are detected in and around the Cygnus Loop. Several features are found that are adjacent either to the outer rim or to filaments, which are most likely on the front or back face of the Cygnus Loop. Additionally, there is a clear deficit of H I for the interior of the Cygnus Loop compared to the immediate surroundings. The velocities and spatial structure of the deficit are interpreted as being due to a supernova remnant located between two blister regions: the main body of the Cygnus Loop is on the near side of a blister region, and the southern extension is on the far side of a second blister region.
Medication Adherence Among Multimorbid Patients With Polypharmacy and Its Relation to Social Support at National Guard Primary Health Care Centers, Riyadh

Objective: The aim of the present study was to estimate the prevalence of nonadherence to medication in multimorbid patients with polypharmacy and its relationship to social support in primary healthcare centers in Riyadh, Saudi Arabia. Methods: We conducted a cross-sectional, convenience-sample, non-randomized study in three primary healthcare centers managed by National Guard Health Affairs. The participants included 417 adult patients - (a) with two or more chronic illnesses and (b) who were taking two or more medications. The primary outcome variable was the prevalence of medication nonadherence in multimorbid patients with polypharmacy as measured by the modified Morisky Medication Adherence Scale (MMAS-8). The second main variable was the impact of functional social support, as measured by the Duke-UNC Functional Social Support Questionnaire (FSSQ), on medication adherence. Results: The level of medication adherence was low for 194 (46.5%) of the 417 patients, medium for 127 (30.5%), and high for 96 (23%). There were 256 (61.4%) male participants and 161 (38.6%) females, and their mean age was 59.15 (SD ± 11.186) years. Additionally, 171 (41%) participants used two or three medications, 127 (30.5%) used four or five medications, and 119 (28.5%) used more than five medications; 178 (42.7%) of the patients had two comorbidities, 136 (32.9%) had three comorbidities, 69 (16.5%) had four comorbidities, and 31 (7.5%) had five comorbidities. Some social support data from the Duke-UNC Functional Social Support Questionnaire (FSSQ) was missing for 58 (13.9%) of the participants. Among the rest of the sample, reported levels of social support levels were high for 246 (59%) patients, medium for 101 (24.2%), and low for 12 (2.9%) patients. None of the differences between social support and medication adherence were statistically significant. However, 61 (24.8%) patients reported both high social support and high medication adherence; 173 (48.2%) had low social support and low medication adherence (p = 0.470). Conclusion: We found that medication nonadherence in multimorbid patients with polypharmacy was high (46.5%). Although there were no statistically significant relationships between social support and medication adherence, certain patient characteristics were associated with low medication adherence - age over 60 years, male gender, and number of medications.
Magnetic Fields and Halos in Spiral Galaxies

Radio continuum and polarization observations reveal best the magnetic field structure and strength in nearby spiral galaxies. They show a similar magnetic field pattern, which is of spiral shape along the disk plane and X-shaped in the halo, sometimes accompanied by strong vertical fields above and below the central region of the disk. The strength of the total halo field is comparable to that of the disk. The small- and large-scale dynamo action is discussed to explain the observations with special emphasis on the rôle of star formation on the α − Ω dynamo and the magnetic field strength and structure in the disk and halo. Recently, with RM-synthesis of the CHANG-ES observations, we obtained the first observational evidence for the existence of regular magnetic fields in the halo. The analysis of the radio scale heights indicate escape-dominated radio halos with convective cosmic ray propagation for many galaxies. These galactic winds may be essential for an effective dynamo action and may transport large-scale magnetic field from the disk into the halo.
An information theoretic approach to observer path design for bearings-only tracking

Open-loop control strategies, via information theoretic criteria, for the design of optimal observer trajectories in the bearings-only tracking problem are presented. The aim is to obtain tight bounds on the location and velocity of a single target through own ship maneuvers. In this paper, optimal paths are derived by maximizing the mutual information between the measurement sequence and the final target state or the entire target trajectory. Optimization techniques, such as dynamic programming and enumeration with optimal pruning are derived.
Mechanistic Insights into the Ameliorative Effect of Cichoriin on Diabetic Rats—Assisted with an In Silico Approach

Type 2 diabetes mellitus is considered to be a substantial socioeconomic burden worldwide on both patients and governments. Coumarins are biomolecules with a diversity of biological activities. The current investigation aimed to explore the ameliorative effects of cichoriin, which is a type of coumarin, on high-fat diet/streptozotocin (HFD/STZ)-induced diabetic rats. Methods: Rats were allocated into five groups. Group I was considered as the control group, while the other groups were HFD/STZ-induced diabetic rats. Group II was assigned as the diabetic control. Groups III and IV were treated with cichoriin (50 or 100 mg/kg, respectively). Group V received glibenclamide (5 mg/kg) (as a positive control). The blood glucose (BG), serum insulin, triglycerides (TG), total cholesterol (TC), total antioxidant capacity (TAC), catalase, hepatic superoxide dismutase (SOD) and content of malondialdehyde (MDA) were assessed. Histopathological and immunohistochemistry analysis of pancreatic tissue were performed. mRNA and protein expressions of GLUT4, AMPK, and PI3K were estimated. Results: Cichoriin treatment ameliorated HFD/STZ-induced diabetic conditions and mitigated the histopathological characteristics of the pancreas, as well as increasing pancreatic insulin expression. This decreased the levels of BG, TG, TC, and MDA and improved the TAC, catalase and SOD contents. Cichoriin demonstrated upregulation of mRNA and protein expressions of GLUT4, AMPK, and PI3K. The in silico binding of cichoriin with GLUT4, AMPK, and PI3K supported the possible current activities. Conclusion: Collectively, this work highlighted the potential role of cichoriin in mitigating HFD/STZ-induced diabetic conditions and showed it to be a valuable product.
Quantum Information Entropy of Hyperbolic Potentials in Fractional Schrödinger Equation

In this work we have studied the Shannon information entropy for two hyperbolic single-well potentials in the fractional Schrödinger equation (the fractional derivative number (0<n≤2) by calculating position and momentum entropy. We find that the wave function will move towards the origin as the fractional derivative number n decreases and the position entropy density becomes more severely localized in more fractional system, i.e., for smaller values of n, but the momentum probability density becomes more delocalized. And then we study the Beckner Bialynicki-Birula–Mycieslki (BBM) inequality and notice that the Shannon entropies still satisfy this inequality for different depth u even though this inequality decreases (or increases) gradually as the depth u of the hyperbolic potential U1 (or U2) increases. Finally, we also carry out the Fisher entropy and observe that the Fisher entropy increases as the depth u of the potential wells increases, while the fractional derivative number n decreases.
Atom phase controlled noise-free photon echoes

Rephasing in photon echoes is a fundamental mechanism of retrieving optical information stored in a collective ensemble of atoms or ions. With an extremely weak quantum optical data, population inversion by the rephasing process is inevitable resulting in serious quantum noise. Here, an inversion-free rephasing method in photon echoes is presented by using deshelving-based atom phase control. The present method makes photon echoes directly applicable to quantum memories with benefits of extended photon storage time and nearly perfect retrieval efficiency. In this revised version only the rephasing pulse propagation direction is corrected to make a silent echo of E1 in Fig. 1.
Clinical Outcomes of Rotational Atherectomy in Heavily Calcified Lesions: Evidence From the Largest Cardiac Center in Thailand

Background: Evidence regarding the clinical outcomes of rotational atherectomy (RA) in middle-income countries is limited. We analyzed the clinical outcomes of patients with heavily calcified coronary lesions who underwent RA-assisted percutaneous coronary intervention (PCI) and explored the risks for developing major adverse cardiovascular and cerebrovascular events (MACCE). Methods: This is a single-center, retrospective cohort analysis that enrolled consecutive patients who underwent RA-assisted PCI at the largest tertiary hospital in Thailand. The primary endpoint is the incidence of MACCE during the first-year follow-up. MACCE consists of cardiac death, ischemic stroke, definite stent thrombosis, target lesion revascularization, and target vessel revascularization. Results: From January 2015 to December 2018, 616 patients (663 lesions) were enrolled. The mean age was 72.8 ± 9.7 years, 292 (47.4%) patients were female and 523 (84.9%) completed one-year follow-up. Drug-eluting stents were deployed in 606 (91.4%) lesions. The RA success rate – defined as when the operator successfully passed the burr across the target lesion – was 99.4% and the angiographic success rate was 94.8%. 130 (21.4%) procedures developed periprocedural complications. The cumulative MACCE rate at 30-days was 1.5% and at 1-year was 6.3%. The in-hospital mortality rate was 1.1% and the cardiac death rate was 1.6%. Independent risk factors for developing MACCE included the use of an intra-aortic balloon pump (hazard ratio [HR] 3.96, 95% confidence interval [CI] 1.54–10.21; P = 0.004), a history coronary artery bypass graft (HR 2.30, 95% CI 1.01–5.25; P = 0.048), and increased serum creatinine (HR 1.16, 95% CI 1.04–1.30; P = 0.008). Conclusions: RA is an effective revascularization technique for heavily calcified lesions. This study demonstrates a high success rate and good short- to intermediate-term results of RA-assisted PCI in middle-income countries which are similar to high-income countries. Nevertheless, the rate of periprocedural complications remains high.
Salinity-tolerant dwarf cashew rootstock has better ionic homeostasis and morphophysiological performance of seedlings

ABSTRACT Considering the cashew tree’s relevance and the limitations imposed by salinity stress in semi-arid regions, the use of alternatives capable of mitigating the harmful effects due to salinity is of great importance to the production sector. The use of grafted plants, especially with rootstock made of tolerant materials, influences the accumulation of toxic ions in leaves of grafted seedlings. Thus, the objective of this work was to evaluate morphophysiological characteristics and leaf concentrations of Na+, K+ and Ca+2 of combinations of scion and rootstock of early dwarf cashew, contrasting in terms of salinity tolerance. The experiment was carried out in a completely randomized design with five replicates, in a 4 × 3 factorial arrangement, corresponding to four dwarf cashew scion/rootstock combinations (self-graft CCP 09, CCP 09/CCP 76, self-graft CCP 76, and CCP 76/CCP 09) and three NaCl concentrations (0, 50, and 100 mM L-1). Height, number of leaves, leaf area, dry matter, tolerance index and leaf concentrations of Na+, K+ and Ca+2 were evaluated after 30 days of application of NaCl concentrations. The scion/rootstock combination CCP 76/09 showed tolerance to 50 mM L-1, due to the increase of leaf area and number of leaves. The scion/rootstock combination CCP 76/09 was more suitable, as it kept the leaf K+ concentration and had the lowest Na+ concentration.
Use of Hashtags related to Covid-19 infodemics by bot accounts

Abstract Background Along with the Covid-19 pandemic we need to fight an ‘infodemic'. Some of the most widespread social media platforms such as Facebook, Instagram and Twitter have implemented policies to combat the spread of misinformation about Covid. However, the online ecosystem is still full of health myths, hoaxes, and fake news that-either consciously or unconsciously-is propagated by social media users with different purposes, messages that can lead to attitudinal and behavioral changes which might result in inadequate health decision making Methods We use Twitter Stream API to collect tweets about Covid-19 during the early outbreak. Then we filtered those tweets with hashtags related to three infodemic topics: 5g, bill gates, UV and hydroxychloroquine. Then, we use Botometer to obtain the probability that each account is a bot or not. We use bot classification along with network analysis (Louvain community detection) to delve into the subtopics and the use of hashtags. Results The resulting data collection contains ∼14M tweets from ∼285K of different Twitter accounts. We selected only tweets written in English. Regarding 5G, the most important communities link China with the virus, are about “democratshateamerica” or conspiracy theories. Tweets about Bill Gates contain hashtags about Trump, America, or mention the batflu. Communities related with UV are about Trump disinfectant, or pointing out that tv channels spread fake news. Those tweets that mention hydroxychloroquine mostly contain hashtags that mention qanon or maga content. Conclusions In this paper, we analyze the use of hashtags by accounts classified as bots. Using Louvain community detection we identify co-occurring hashtags. Using social network analysis we identify which hashtags are the most important within the conversation. Key messages • We identify several communities around most important infodemic topics. Bots activity in most of the cases is about political content than spreading health misinformation. • This method allows to find subtopics based on the use of hashtags. Which allow public health policies to prevent the spread of infodemics.
Neural Net for Trajectories Recognition in a Flow

Abstract : In order to recognize the trajectories from a sequence of single exposure images a new method, based on the simulation of a neural network, is proposed. The net is identifies by the topology, the nodes characteristics and training rule which allows a change in the weight of each connection. The method is utilized to analyse the trajectories described by tracer particles flowing inside a porous medium simulated by means of fractured Pyrex glass bars. The optical access is realized using a liquids mixture with the same refractive index of the solid matrix (matching index technique). (Author)
A pre-trained model vs dedicated convolution neural networks for emotion recognition

Facial expression recognition (FER) is one of the most important methods influencing human-machine interaction (HMI). In this paper, a comparison was made between two models, a model that was built from scratch and trained on FER dataset only, and a model previously trained on a data set containing various images, which is the VGG16 model, then the model was reset and trained using FER dataset. The FER+ data set was augmented to be used in training phases using the two proposed models. The models will be evaluated (extra validation) by using images from the internet in order to find the best model for identifying human emotions, where Dlib detector and OpenCV libraries are used for face detection. The results showed that the proposed emotion recognition convolutional neural networks (ERCNN) model dedicated to identifying human emotions significantly outperformed the pre-trained model in terms of accuracy, speed, and performance, which was 87.133% in the public test and 82.648% in the private test. While it was 71.685% in the public test and 67.338% in the private test using the proposed VGG16 pre-trained model.