Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a stable single sided 11T static random access memory cell with improved critical charge

Radiation‐induced soft errors are becoming a key challenge in satellite‐based communication. The worst‐hit component of such devices is static random‐access memory bit‐cells, owing to their high density, large area, and low‐operating voltage. The unsuitability of conventional 6T SRAM for this purpose is ascertained by weak stability constraints, higher variability during process variations, and less tolerance capability in such a harsh environment. In this work, we have presented an improved, feedback charge‐boosted, and read decoupled 11 transistors based (FC11T) SRAM cell. Its performance is assessed by comparing it with other low power, high stability, and soft‐error‐immune SRAM cells, namely, Asymmetric 8T (AS8T), Quatro 10T, PPN based 10T (PP10T), and loop cutting 10T (LC10T) cells over various design metrics. The attained observations establish that the proposed FC11T shows 1.13×/1.38×/0.90×/1.04×/1.03× improvement in critical charge compared to 6T/PP10T/AS8T/Quatro10T/LC10T cell. The read access time of proposed FC11T cell is reduced by 1.31×/1.17×/1.31×/1.41×/1.01× compared to 6T/PP10T/AS8T/Quatro10T/LC10T cell. The proposed cell further strengthens read stability by 1.97×/0.98×/1.91×/1.24×/1× when equated to 6T/PP10T/AS8T/Quatro10T/LC10T cell. Improved Inter‐cell and Intra‐cell soft error ratios represent improved soft error mitigation capability of the proposed 11T cell over 0.5 to 1 V supply voltage and 27 to 125 C temperature variation range. In addition to this, the proposed 11T cell also shows improved read stability and writability.
Me-Better Drug Design Based on Nevirapine and Mechanism of Molecular Interactions with Y188C Mutant HIV-1 Reverse Transcriptase

In this paper, the Y188C mutant HIV-1 reverse transcriptase (Y188CM-RT) target protein was constructed by homology modeling, and new ligands based on nevirapine (NVP) skeleton were designed by means of fragment growth. The binding activity of new ligands to Y188CM-RT was evaluated by structural analysis, ADMET prediction, molecular docking, energy calculation and molecular dynamics. Results show that 10 new ligands had good absorbability, and their binding energies to Y188CM-RT were significantly higher than those of wild-type HIV-1 reverse transcriptase(wt). The binding mode explained that fragment growth contributed to larger ligands, leading to improved suitability at the docking pocket. In the way of fragment growth, the larger side chain with extensive contact at terminal is obviously better than substituted benzene ring. The enhancement of docking activity is mainly due to the new fragments such as alkyl chains and rings with amino groups at NVP terminal, resulting in a large increase in hydrophobic bonding and the new addition of hydrogen bonding or salt bonding. This study is expected to provide reference for the research on non-nucleoside reverse transcriptase inhibitors resistance and AIDS treatment.
A Machine Learning Approach for Recommending Herbal Formulae with Enhanced Interpretability and Applicability

Herbal formulae (HFs) are representative interventions in Korean medicine (KM) for the prevention and treatment of various diseases. Here, we proposed a machine learning-based approach for HF recommendation with enhanced interpretability and applicability. A dataset consisting of clinical symptoms, Sasang constitution (SC) types, and prescribed HFs was derived from a multicenter study. Case studies published over 10 years were collected and curated by experts. Various classifiers, oversampling methods, and data imputation techniques were comprehensively considered. The local interpretable model-agnostic explanation (LIME) technique was applied to identify the clinical symptoms that led to the recommendation of specific HFs. We found that the cascaded deep forest (CDF) model with data imputation and oversampling yielded the best performance on the training set and holdout test set. Our model also achieved top-1 and top-3 accuracies of 0.35 and 0.89, respectively, on case study datasets in which clinical symptoms were only partially recorded. We performed an expert evaluation on the reliability of interpretation results using case studies and achieved a score close to normal. Taken together, our model will contribute to the modernization of KM and the identification of an HF selection process through the development of a practically useful HF recommendation model.
RESEARCH TRENDS AND ISSUES INCLUDING COMPUTATIONAL THINKING IN SCIENCE EDUCATION AND MATHEMATICS EDUCATION IN THE REPUBLIC OF KOREA

Software (SW) is one of the key technologies in modern society, and its importance is receiving the attention of the educational community. In addition, Computational Thinking (CT) has been studied in fields of various education such as computer science, science, mathematics, and technology. The prominence of computer science education has increased in K-12 South Korean schools with the effect of the 2015 Revised National Curriculum and the National Plan for Activating Software Education. In addition, there are active efforts to include CT in science, technology, and mathematics classrooms. Therefore, this study aims to review prior studies on CT in science and mathematics education. The results of this study are as follows: 1) CT in science and mathematics education has a different conceptual approach than CT in computer education. Science education is mostly about problem-solving activities using computers, and mathematics education mostly utilizes the ‘abstraction’ related approach. 2) The key to improving CT in both subjects is to implement practical experience in science and mathematics education. Variables of interest in prior studies were scientific and mathematical problem-solving skills, the attitude of subjects, and creativity. 3) CT education in science and mathematics education has used a convergence education approach (STEAM education). Keywords: computational thinking, mathematics education, research trend analysis, science education
Severe Hypothyroidism and Large Goiter due to Iodine Deficiency in an Adolescent Male in the United States: A Case Report and Review of the Literature

Acquired hypothyroidism due to iodine deficiency is extremely rare in the United States due to the introduction of table salt iodization in the 1920s (Leung et al., 2012). We present the case of an adolescent male with a history of mild autism spectrum disorder and an extremely restrictive diet who was found to have iodine deficiency as the etiology for his rapidly enlarging goiter and antibody-negative hypothyroidism. Thyroid-stimulating hormone (TSH) was 416 μIU/mL (0.350–5.500 μIU/mL), free thyroxine (T4) was <0.1 ng/dL (0.80–1.80 ng/dL), and triiodothyronine (T3) was 41 ng/dL (82–213 mg/dL) at diagnosis. The patient's 24-hour urinary iodine was undetectable. He was started on iodine supplementation with rapid visible improvement of goiter within two weeks and normalization of thyroid function tests within four weeks. Thorough dietary history and nutritional screening are important in cases of acquired hypothyroidism and/or goiter. Alternatively, diets that are low in iodized salt, dairy, bread, and seafood should raise concern for iodine deficiency, and patients with suspected or proven iodine deficiency should be screened for hypothyroidism.
Synaptic Plasticity in the Pain-Related Cingulate and Insular Cortex

Cumulative animal and human studies have consistently demonstrated that two major cortical regions in the brain, namely the anterior cingulate cortex (ACC) and insular cortex (IC), play critical roles in pain perception and chronic pain. Neuronal synapses in these cortical regions of adult animals are highly plastic and can undergo long-term potentiation (LTP), a phenomenon that is also reported in brain areas for learning and memory (such as the hippocampus). Genetic and pharmacological studies show that inhibiting such cortical LTP can help to reduce behavioral sensitization caused by injury as well as injury-induced emotional changes. In this review, we will summarize recent progress related to synaptic mechanisms for different forms of cortical LTP and their possible contribution to behavioral pain and emotional changes.
Exploring Prime-Boost Vaccination Regimens with Different H1N1 Swine Influenza A Virus Strains and Vaccine Platforms

In a previous vaccination study in pigs, heterologous prime-boost vaccination with whole-inactivated H1N1 virus vaccines (WIV) induced superior antibody responses and protection compared to homologous prime-boost vaccination. However, no pan-H1 antibody response was induced. Therefore, to stimulate both local and systemic immune responses, we first vaccinated pigs intranasally with a pseudorabies vector vaccine expressing the pH1N1 hemagglutinin (prvCA09) followed by a homologous or heterologous WIV booster vaccine. Homologous and heterologous WIV–WIV vaccinated groups and mock-vaccinated or prvCA09 single-vaccinated pigs served as control groups. Five weeks after the second vaccination, pigs were challenged with a homologous pH1N1 or one of two heterologous H1N2 swine influenza A virus strains. A single prvCA09 vaccination resulted in complete protection against homologous challenge, and vector–WIV vaccinated groups were significantly better protected against heterologous challenge compared to the challenge control group or WIV–WIV vaccinated groups. Furthermore, vector–WIV vaccination resulted in broader hemagglutination inhibition antibody responses compared to WIV–WIV vaccination and higher numbers of antibody-secreting cells in peripheral blood, draining lymph nodes and nasal mucosa. However, even though vector–WIV vaccination induced stronger antibody responses and protection, we still failed to induce a pan-H1 antibody response.
Electromagnetic Corrections in Partially Quenched Chiral Perturbation Theory

We introduce photons in partially quenched chiral perturbation theory and calculate the resulting electromagnetic loop-corrections at next-to-leading-order (NLO) for the charged meson masses and decay constants. We also present a numerical analysis to indicate the size of the different corrections. We show that several phenomenologically relevant quantities can be calculated consistently with photons which couple only to the valence quarks, allowing the use of gluon configurations produced without dynamical photons.
Influence of the intramedullary nail locking method on the stiffness of the bone-implant system.

PURPOSE Bone fractures are one of the most commonly seen problems in veterinary traumatology. The authors of this study strive to find a new intramedullary nail, which is intended for treating femoral bone fractures for canine patients. The purpose of this study was to analyze biomechanical parameters of the intramedullary nails, which use a new bolt system concept. METHODS Dissected femoral bones of a large breed dog were cut in order to simulate interfragmentary gap, and then the bones were stabilized using intramedullary nail with locking bolts. Bone-nail systems were subjected to cyclic loading using force which corresponds to the load on the femoral bone in the first few days after surgery. Micro-CT scans were taken of the bone samples around implant in order to determine deformation and structural parameters of bone tissue. RESULTS The calculation of the bone-nail system stiffness was done through analysis of the force- displacement curves recorded during experimental studies. Using monocortical locking bolts resulted in smaller stiffness of the bone-nail system than using bicortical locking bolts. CONCLUSIONS The results obtained in this study can indicate that the intramedullary nail could work well when used for treatment of bone fractures in dogs. The authors focused on using monocortical bolts which provides good stability and adequate biomechanical environment. Described fixation method is easily adjustable to a particular patient individual pa- rameters.
Physics of quark-gluon plasma

Abstract In this lecture, we give a brief review of what theorists now know, understand, or guess about static and kinectic properties of quark-gluon plasma. A particular attention is payed to the problem of physical observability, i.e. the physical meaningfulness of various characteristics of QGP discussed in the literature.
Attitude and perceptions regarding online teaching in dental undergraduate program during COVID-19 pandemic: A mixed method study

BACKGROUND: Transformation of education to virtual mode during COVID-19 pandemic was a major challenge for a clinical specialty like dentistry. MATERIALS AND METHODS: A sequential explanatory mixed method was adopted with quantitative dominant design. A self-reported questionnaire on attitude and perceptions toward online learning were distributed among dental undergraduate students. The qualitative arm explored perceptions of online teaching among various stakeholders and thematic content analysis was performed. RESULTS: A total of 141 responses were obtained, about 21% of them felt online classes to be highly useful and 78% felt it was moderately useful. About 80% of the students were satisfied with the online education. About 40% of participants felt internet connectivity was a frequent issue. The qualitative data analysis revealed five emergent themes of lecture content and delivery, instructional control, resource management, interaction, and evaluation exploring the perceptions of various stakeholders toward online learning and provided several insights. CONCLUSION: Though online education cannot be compared to traditional education in a clinical specialty like dentistry, it does have its advantages and a portion of student learning can be conducted through this mode.
A Limited-Memory Framework for Conditional Point Sampling for Radiation Transport in 1D Stochastic Media

Abstract Conditional Point Sampling (CoPS) is our newly proposed Monte Carlo method for transport in stochastic media that has been demonstrated to achieve highly accurate mean response results and to compute variance of the mean caused by random spatial mixing. The ability of CoPS to efficiently characterize the effects of random spatial mixing beyond the mean is hindered by the algorithm’s potentially unbounded computer memory footprint. Thus, in previous work, we established two limited-memory techniques for CoPS to improve required computer memory, i.e., recent memory (RM) CoPS and amnesia radius (AR) CoPS, the latter of which enables CoPS to tractably compute probability density functions (PDFs) of response. In this work, we create a limited-memory framework that allows CoPS to combine the advantages of limited-memory techniques and populate the framework with the two inaugural techniques of RM and AR. The proposed framework enables the user to control the computational performance of CoPS by making problem-specific trade-offs between accuracy, computer memory footprint, and characterization of response distributions based on input parameters. We present mean leakage results, material-dependent scalar flux, leakage PDFs, and computer memory footprint computed using this new framework. By selecting different input parameters in our proposed limited-memory framework, CoPS is demonstrated to roughly match the accuracy and computer memory footprint of the established approximate method Chord Length Sampling or to provide response distribution information comparable to the brute-force benchmark approach while improving the computer memory footprint compared to the original CoPS algorithm.
PERAN STRATEGIS SCRUM MASTER PADA PENGEMBANGAN PERANGKAT LUNAK PERPUSTAKAAN SEKOLAH BERBASIS ANDROID

Kebutuhan akan fleksibilitas dan akses yang cepat menjadikan aplikasi berbasis mobile semakin banyak digunakan, termasuk dalam bidang pendidikan dan literasi. Penelitian ini bertujuan untuk mengkaji penerapan metode Scrum dalam pengembangan perangkat lunak mobile dengan mengkaji peran strategis Scrum Master. Scrum dikenal sebagai metode pengembangan aplikasi yang dinamis dan adaptif. Adapun tahapan dalam Scrum terdiri dari fase analisis kebutuhan sistem, design sistem, pengujian sistem, dan penerimaan produk. Metode penelitian yang digunakan adalah kualitatif dengan teknik wawancara sebagai cara pengumpulan data. Hasil wawancara kemudian direduksi, dianalisis dengan analisis dari literature, kemudian disajikan, dan disimpulkan. Penelitian ini dilakukan di SMA Negeri 88 Jakarta sebagai lokasi penerapan aplikasi perpustakaan online berbasis Android. Hasil dari penelitian ini menunjukkan bahwa peran strategis Scrum Master diantaranya adalah mengelola ekspektasi roles, perubahan resistensi, menepati jadwal, permintaan perubahan yang mendesak, dan pendistribusian tim. Peran strategis ini menjadi dasar untuk penunjukan atau pemilihan Scrum Master hendaknya mempertimbangkan dan dikualifikasi berdasarkan poin-poin tersebut
The H I Mass Function of Galaxies from a Deep Survey in the 21 Centimeter Line

The H I mass function (HIMF) for galaxies in the local universe is constructed from the results of the Arecibo H I Strip Survey, a blind extragalactic survey in the 21 cm line. The survey, consisting of two strips covering in total ~65 deg2 of sky, with a depth of cz = 7400 km s-1, was optimized to detect column densities of neutral gas NH I > 1018 cm-2 (5 σ). The survey yielded 66 significant extragalactic signals, of which approximately 50% are cataloged galaxies. No free-floating H I clouds without stars are found. VLA follow-up observations of all signals have been used to obtain better measurements of the positions and fluxes and to allow an alternate determination of the achieved survey sensitivity. The resulting HIMF has a shallow faint-end slope (α ≈ 1.2) and is consistent with earlier estimates computed for the population of optically selected gas-rich galaxies. This implies that there is not a large population of gas-rich low-luminosity or low-surface brightness galaxies that has gone unnoticed by optical surveys. The influence of large-scale structure on the determination of the HIMF from the Arecibo H I Strip Survey was tested by numerical experiments and was not found to affect the resulting HIMF significantly. The cosmological mass density of H I at the present time, determined from the survey, ΩH I(z = 0) = (2.0 ± 0.5) × 10-4 h-1, is in good agreement with earlier estimates. We determine lower limits for the average column densities ⟨NH I⟩ of the galaxies detected in the survey and find that none of the galaxies have ⟨NH I⟩ < 1019.7 cm-2, although there are no observational selection criteria against finding lower density systems. Eight percent of the signals detected in the original survey originated in groups of galaxies whose signals chanced to coincide in frequency.
Cold dark energy constraints from the abundance of galaxy clusters

We constrain cold dark energy of negligible sound speed using galaxy cluster abundance observations. In contrast to standard quasi-homogeneous dark energy, negligible sound speed implies clustering of the dark energy fluid at all scales, allowing us to measure the effects of dark energy perturbations at cluster scales. We compare those models and set the stage for using non-linear information from semi-analytical modelling in cluster growth data analyses. For this, we recalibrate the halo mass function with non-linear characteristic quantities, the spherical collapse threshold and virial overdensity, that account for model and redshift-dependent behaviours, as well as an additional mass contribution for cold dark energy. We present the first constraints from this cold dark matter plus cold dark energy mass function using our cluster abundance likelihood, which self-consistently accounts for selection effects, covariances and systematic uncertainties. We combine cluster growth data with cosmic microwave background, supernovae Ia and baryon acoustic oscillation data, and find a shift between cold versus quasi-homogeneous dark energy of up to 1 sigma. We make a Fisher matrix forecast of constraints attainable with cluster growth data from the ongoing Dark Energy Survey (DES). For DES, we predict similar to 50 per cent tighter constraints on (Omega(m), w) for cold dark energy versus wCDM models, with the same free parameters. Overall, we show that cluster abundance analyses are sensitive to cold dark energy, an alternative, viable model that should be routinely investigated alongside the standard dark energy scenario.
On the analyticity of solutions in the dynamical mean-field theory

The unphysical solutions of the periodic Anderson model obtained by Keiter and Leuders (Keiter H and Leuders T 2000 Europhys. Lett. 49 801) in dynamical mean-field theory (DMFT) are shown to result from the authors' restricted choice of the functional form of the solution, leading to a violation of the analytic properties of the exact solution. By contrast, iterative solutions of the self-consistency condition within the DMFT obtained by techniques which preserve the correct analytic properties of the exact solution (e.g., quantum Monte Carlo simulations and the numerical renormalization group technique) always lead to physical solutions.
The Peculiar SN 2005hk: Do Some Type Ia Supernovae Explode as Deflagrations?

We present extensive u′g′r′i′BVRIYJHKs photometry and optical spectroscopy of the Type Ia supernova (SN) 2005hk. These data reveal that SN 2005hk was nearly identical in its observed properties to SN 2002cx, which has been called “the most peculiar known Type Ia supernova. ” Both supernovae exhibited high‐ionization SN 1991T–like premaximum spectra, yet low peak luminosities like that of SN 1991bg. The spectra reveal that SN 2005hk, like SN 2002cx, exhibited expansion velocities that were roughly half those of typical Type Ia supernovae. The R and I light curves of both supernovae were also peculiar in not displaying the secondary maximum observed for normal Type Ia supernovae. Our YJH photometry of SN 2005hk reveals the same peculiarity in the near‐infrared. By combining our optical and near‐infrared photometry of SN 2005hk with published ultraviolet light curves obtained with the Swift satellite, we are able to construct a bolometric light curve from ∼15 days before to ∼60 days after B maximum. The shape and unusually low peak luminosity of this light curve, plus the low expansion velocities and absence of a secondary maximum at red and near‐infrared wavelengths, are all in reasonable agreement with model calculations of a three‐dimensional deflagration that produces ∼0.2 M⊙ of 56Ni.
The Effects of Nutrition and Health Claim Information on Consumers’ Sensory Preferences and Willingness to Pay

As marketing tools, nutrition claims (NCs) and health claims (HCs) can be used to convey the nutritional properties and health benefits of food to consumers, but their respective effects on consumers’ perceptions of healthier meat products are inconsistent in the literature. Using a physical prototype of omega-3-enriched sausages as a research interest, this paper explores how HCs and NCs differently influence consumers’ sensory preferences and willingness to pay (WTP). Sensory tests were carried out among 330 participants, followed by a choice-based conjoint (CBC) experiment to measure consumers’ WTP. Results indicate that, in comparison with the uninformed condition, labeling an omega-3 nutrition claim increased consumers’ sensory liking for omega-3-enriched sausages in the attributes of appearance and texture. Moreover, consumers were willing to pay more for healthier sausages, but labeling HCs did not significantly improve participants’ WTP for omega-3-enriched sausages more than NCs. Hence, HCs did not significantly outperform NCs, when it comes to positively influencing consumers’ sensory liking and paying intentions for omega-3-enriched sausages. The findings of this study have implications for the meat industry in developing healthier sausage formulations with greater likelihood of success in the market.