Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive diagnosis of diabetes based on multiple linear regression

The number of persons with diabetes has more than doubled worldwide during the past 20 years. Therefore, the primary subject of our study is the influence of possible factors. In this paper, we first removed the abnormal data from the dataset, and then excluded the categories with small predictive factors (P-value<0.05) for diabetes outcome by analysis of variance with P-values, and then used the multiple linear regression model to predict the outcome of diabetes prediction, which achieved an accuracy of 72%. Finally, the receiver operating characteristic curve (ROC) curve was used to evaluate the effectiveness of the model in prediction. The experimental results show that the prediction of diabetes using multiple linear regression can achieve a high accuracy when there are multiple influences on the data.
Muscle mineral profile of water buffaloes (Bubalus bubalis) reared in different production systems of the Brazilian Eastern Amazon

Healthy food must have an adequate balance of macroelements, such as calcium or phosphorus and, microelements, such as iron, copper. This study aimed to evaluate the influence of three extensive systems, during the dry and rainy seasons, and an intensive (feedlot) system in the Eastern Amazon, on the muscle mineral profile of water buffaloes. In total, 12 male buffaloes, aged between 24 and 36 months, slaughtered in commercial slaughterhouses, were used in each of the systems considered: Marajó island, Santarém, Nova Timboteua, and a feedlot. Approximately 5 g of muscle was collected, stored, and frozen, until freeze-dried. The samples were analyzed for the mineral profile using inductively coupled plasma-optical emission spectrometry (ICP-OES). There were significant differences (P < 0.05) for concentrations of sodium (Na), magnesium (Mg), phosphorus (P), sulfur (S), copper (Cu), zinc (Zn), and iron (Fe). Extensive and intensive systems showed significant differences (P < 0.05) for Na, Ca, S, Cu, and Fe concentrations. The season also influenced (P < 0.05) K, Ca, P, S, Zn, and Fe concentrations. The location and season of the year had a significant interaction (P < 0.05) for K, Mg, P, Zn, and Fe concentrations. The study showed that the different Amazonian production systems and the year season influenced the levels of minerals present in buffalo muscle. The values obtained were, in general, higher in extensive production systems, and Marajó Island stood out with higher mineral values in the dry season. Therefore, the meat from animals reared in these systems is a good mineral source for daily human needs.
Treating oral cancer with targeted therapy drugs: from beginning to bench-side

Sarcomas are the deadliest tumors of the mouth and jaw. Among all the oral cancers, squamous cell carcinoma is one of the most common tumors. It is responsible for more than 80% of all cancers. Thus, attention and healthcare should be paid in the aspects of oral cancer and its treatment, especially for epithelial and squamous cell carcinomas. In this scenario, recent progression for oral cancer treatment is in great demand for analysis and comparison. As a major breakthrough in cancer treatment, targeted therapy has remarkable potential to replace traditional treating options.
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling

The Hamiltonian Monte Carlo (HMC) sampling algorithm exploits Hamiltonian dynamics to construct efficient Markov Chain Monte Carlo (MCMC), which has become increasingly popular in machine learning and statistics. Since HMC uses the gradient information of the target distribution, it can explore the state space much more efficiently than random-walk proposals, but may suffer from high autocorrelation. In this paper, we propose Langevin Hamiltonian Monte Carlo (LHMC) to reduce the autocorrelation of the samples. Probabilistic inference involving multi-modal distributions is very difficult for dynamics-based MCMC samplers, which is easily trapped in the mode far away from other modes. To tackle this issue, we further propose a variational hybrid Monte Carlo (VHMC) which uses a variational distribution to explore the phase space and find new modes, and it is capable of sampling from multi-modal distributions effectively. A formal proof is provided that shows that the proposed method can converge to target distributions. Both synthetic and real datasets are used to evaluate its properties and performance. The experimental results verify the theory and show superior performance in multi-modal sampling.
Integration of hydrogels in microfabrication processes for bioelectronic medicine: Progress and outlook

Recent research aiming at the development of electroceuticals for the treatment of medical conditions such as degenerative diseases, cardiac arrhythmia and chronic pain, has given rise to microfabricated implanted bioelectronic devices capable of interacting with host biological tissues in synergistic modalities. Owing to their multimodal affinity to biological tissues, hydrogels have emerged as promising interface materials for bioelectronic devices. Here, we review the state-of-the-art and forefront in the techniques used by research groups for the integration of hydrogels into the microfabrication processes of bioelectronic devices, and present the manufacturability challenges to unlock their further clinical deployment.
Synthesis of ursane-derived isothiocyanates and study of their reactions with series of amines and ammonia

ABSTRACT Based on ursolic acid, 3 compounds with isothiocyanate groups located at different distances from C-17 of the triterpenoid core have been synthesized through ursane-derived primary amines. To obtain terpene hybrids with thioureas and N,S-containing heterocycles, series of amines and ammonia were reacted with novel isothiocyanates. In the reactions with propargylamine, 3 triterpenoid hybrids with 4,5-dihydrothiazol-2-yl-amine have been selectively obtained in 81%–91% yields. Isothiocyanates containing several bonds between the -CNS group and the triterpenoid backbone reacted with (1-aryl-1H-1,2,3-triazole-4-yl)methanamines, as well as with ammonia, to form thiourea derivatives (78%–94%). The nor-compound with a -CNS group at C-17 of the triterpenoid was the least reactive due to deactivation by a donor terpene branched substituent and reacted readily only with sufficiently strong nucleophiles, such as primary and secondary aliphatic amines. The reaction of the nor-derivative of isothiocyanate 7 with ammonia at elevated temperature led to the unexpected formation of 3β-acetoxy-28-norurs-12-en-17-yl-amine, the precursor of isothiocyanate, as the main product (82%). GRAPHICAL ABSTRACT
Smoothed-particle method for phase separation in polymer mixtures

We propose a numerical model of the dynamics of phase separation in polymer mixtures based upon the generalized two-fluid model developed by Doi and Onuki [J. Phys. (France) II 2, 1631 (1992)] using the method of smoothed-particle hydrodynamics. Our model is applicable to rheological studies of the phase-separating systems. We present our simulation results on the kinetics of domain growth and the phase separation under simple shear flow in two dimensions. We also discuss how the viscoelastic effect is incorporated into our model.
Does Potassium Modify the Response of Zinnia (Zinnia elegans Jacq.) to Long-Term Salinity?

Salinity is one of the major abiotic stress factors hindering crop production, including ornamental flowering plants. The present study examined the response to salt stress of Zinnia elegans ‘Lilliput’ supplemented with basic (150 mg·dm−3) and enhanced (300 mg·dm−3) potassium doses. Stress was imposed by adding 0.96 and 1.98 g of NaCl per dm−3 of the substrate. The substrate’s electrical conductivity was 1.1 and 2.3 dS·m−1 for lower potassium levels and 1.2 and 2.4 dS·m−1 for higher potassium levels. Salt stress caused a significant and dose-dependent reduction in leaf RWC, increased foliar Na and Cl concentrations, and reduced K. About 15% and 25% of cell membrane injury at lower and higher NaCl doses, respectively, were accompanied by only slight chlorophyll reduction. Salt stress-induced proline increase was accompanied by increased P5CS activity and decreased PDH activity. More than a 25% reduction in most growth parameters at EC 1.1–1.2 dS·m−1 but only a slight decrease in chlorophyll and a 25% reduction in the decorative value (number of flowers produced, flower diameter) only at EC 2.3–2.4 dS·m−1 were found. Salt stress-induced leaf area reduction was accompanied by increased cell wall lignification. An enhanced potassium dose caused a reduction in leaf Na and Cl concentrations and a slight increase in K. It was also effective in membrane injury reduction and proline accumulation. Increasing the dose of potassium did not improve growth and flowering parameters but affected the lignification of the leaf cell walls, which may have resulted in growth retardation. Zinnia elegans ‘Lilliput’ may be considered sensitive to long-term salt stress.
Ideograph: A Language for Expressing and Manipulating Structured Data

We introduce Ideograph, a language for expressing and manipulating structured data. Its types describe kinds of structures, such as natural numbers, lists, multisets, binary trees, syntax trees with variable binding, directed multigraphs, and relational databases. Fully normalized terms of a type correspond exactly to members of the structure, analogous to a Church-encoding. Moreover, definable operations over these structures are guaranteed to respect the structures' equivalences. In this paper, we give the syntax and semantics of the non-polymorphic subset of Ideograph, and we demonstrate how it can represent and manipulate several interesting structures.
PID Controllers and Algorithms: Selection and Design Techniques Applied in Mechatronics Systems Design - Part II - TI Journals

A B S T R A C T Mechatronics systems are supposed to operate with exceptional high levels of accuracy and speed despite adverse effects of system nonlinearities and uncertainties, therefore the most critical decision in the Mechatronics design process is the selection, design and integration in overall system, of two directly related to each other sub-systems; control unit and control algorithm, there are many controllers, algorithms and design techniques that can be applied in mechatronic system design, each has its advantages and disadvantages, Choosing a specific controller for a specific application is often based on the designer's past experience and sometimes intuition, and it entails as much art as it does science, engineering practice usually dictates that one chooses the simplest controller that meets all the design specifications, taking into account that the final aim is to obtain the best cost/benefit ratio and therefore the simplest controller capable to obtain a satisfactory performance should be preferred, This paper extends previous work (1) and shows some new conclusions, also proposes new and simple PID design based on plant's damping ratio and undamped natural frequency.
A Novel Clinical Nomogram for Predicting Overall Survival in Patients with Emergency Surgery for Colorectal Cancer

Background: Long-term survival after emergency colorectal cancer surgery is low, and its estimation is most frequently neglected, with priority given to the immediate prognosis. This study aimed to propose an effective nomogram to predict overall survival in these patients. Materials and methods: We retrospectively studied 437 patients who underwent emergency surgery for colorectal cancer between 2008 and 2019, in whom we analyzed the clinical, paraclinical, and surgical parameters. Results: Only 30 patients (6.86%) survived until the end of the study. We identified the risk factors through the univariate Cox regression analysis and a multivariate Cox regression model. The model included the following eight independent prognostic factors: age > 63 years, Charlson score > 4, revised cardiac risk index (RCRI), LMR (lymphocytes/neutrophils ratio), tumor site, macroscopic tumoral invasion, surgery type, and lymph node dissection (p < 0.05 for all), with an AUC (area under the curve) of 0.831, with an ideal agreement between the predicted and observed probabilities. On this basis, we constructed a nomogram for prediction of overall survival. Conclusions: The nomogram created, on the basis of a multivariate logistic regression model, has a good individual prediction of overall survival for patients with emergency surgery for colon cancer and may support clinicians when informing patients about prognosis.
The research foundation for COVID-19 vaccine development

The development of effective vaccines in <1 year to combat the spread of coronavirus disease 19 (COVID-19) is an example of particularly rapid progress in biomedicine. However, this was only made possible by decades of investment in scientific research. Many important research commentaries and reviews have been provided to describe the various contributions and scientific breakthroughs that led to the development of COVID-19 vaccines. In this work, we sought to complement those efforts by adding a systematic and quantitative study of the research foundations that led to these vaccines. Here, we analyzed citations from COVID-19 vaccine research articles to determine which scientific areas of study contributed the most to this research. Our findings revealed that coronavirus research was cited most often, and by a large margin. However, significant contributions were also seen from a diverse set of fields such as cancer, diabetes, and HIV/AIDS. In addition, we examined the publication history of the most prolific authors of COVID-19 vaccine research to determine their research expertise prior to the pandemic. Interestingly, although COVID-19 vaccine research relied most heavily on previous coronavirus work, we find that the most prolific authors on these publications most often had expertise in other areas including influenza, cancer, and HIV/AIDS. Finally, we used machine learning to identify and group together publications based on their major topic areas. This allowed us to elucidate the differences in citations between research areas. These findings highlight and quantify the relevance of prior research from a variety of scientific fields to the rapid development of a COVID-19 vaccine. This study also illustrates the importance of funding and sustaining a diverse research enterprise to facilitate a rapid response to future pandemics.
Left-handed material superstrate applied to the RCS reduction of microstrip antenna

Abstract Left-handed material (LHM) is applied to reduce the radar cross section (RCS) of microstrip antenna when the incident wave is non-perpendicular to antenna. The LHM having the magnitude of its refractive index close to zero can be used to the total reflection phenomenon and focus the electromagnetic wave. Therefore, the method of RCS reduction with LHM superstrate is presented. Two kinds of the LHM structure are proposed and two application examples are present. The simulated and measured results show that 5–20 dB RCS reduction under the condition of oblique incidence is obtained when the LHM superstrate is used. The RCS reduction angle range can be changed by adjusting the size of the LHM superstrate.
Assessment of volume of fluid and immersed boundary methods for droplet computations

The volume of fluid (VOF) and immersed boundary (IB) methods are two popular computational techniques for multi‐fluid dynamics. To help shed light on the performance of both techniques, we present accuracy assessment, which includes interfacial geometry, detailed and global fluid flow characteristics, and computational robustness. The investigation includes the simulations of a droplet under static equilibrium as a limiting test case and a droplet rising due to gravity for Re⩽1000. Surface tension force models are key issues in both VOF and IB and alternative treatments are examined resulting in improved solution accuracy. A refined curvature model for VOF is also presented. With the newly developed interfacial treatments incorporated, both IB and VOF perform comparably well for the droplet dynamics under different flow parameters and fluid properties. Copyright © 2004 John Wiley & Sons, Ltd.
The fluctuating wall‐shear stress and the velocity field in the viscous sublayer

The fluctuating wall‐shear stress was measured with various types of hot‐wire and hot‐film sensors in turbulent boundary‐layer and channel flows. The rms level of the streamwise wall‐shear stress fluctuations was found to be 40% of the mean value, which was substantiated by measurements of the streamwise velocity fluctuations in the viscous sublayer. Heat transfer to the fluid via the probe substrate was found to give significant differences between the static and dynamic response for standard flush‐mounted hot‐film probes with air or oil as the flow medium, whereas measurements in water were shown to be essentially unaffected by this problem.
Effect of growth conditions on the properties and morphology of chemically derived epitaxial thin films of Ba2YCu3O7−x on (001) LaAlO3

Epitaxial thin films of Ba2YCu3O7−x (BYC) were prepared on (001) LaAlO3 single‐crystal substrates by metalorganic deposition of metal trifluoroacetate precursors. This is an ex situ process that requires high‐temperature annealing in a humid atmosphere to produce stoichiometric BYC thin films. The chemically derived superconducting films were found to have high critical temperatures and high current densities when crystallized under low‐oxygen partial pressures. Superconducting films of 70 nm thickness with zero‐field critical current densities greater than 5×106 A/cm2 at 77 K and zero resistance at 92 K were prepared by annealing at 780 and 830 °C in 2.5 × 10−4–1 × 10−3 atm oxygen furnace atmospheres. As the film thickness was increased, the superconducting properties and surface smoothness of the films tended to degrade. This behavior was consistent with a microstructural model in which the films are composed of a dense slab of c‐axis normal BYC near the film/substrate interface with the overlying mater.
Effects of data sources and biological criteria on length-at-maturity estimates and spawning periodicity of the commercially important Hawaiian snapper, Etelis coruscans

Reproductive characteristics of a fish stock provide important tools for assessing population health. Change in length-at-maturity (L50 ) is a potential indicator of exploited fish populations but when criteria for determining maturity classifications are inconsistent, it is difficult to accurately assess change over time and space. Etelis coruscans is a commercially important eteline snapper found throughout the Indo-Pacific, but its region-specific reproductive information in the main Hawaiian Islands (MHI) is sparse. The present study describes length-specific (fork length: FL) female reproductive characteristics of this deep water snapper in the context of a data-limited fishery. We explored the use of six maturity classification criteria based on a functionally mature (containing vitellogenic oocytes and capable of spawning within the season of collection) or physiologically mature (gonadotropin-dependent maturation initiation) designation combined with seasonality and inclusion of additional reproductive phases. Of these classifications, the largest and therefore most conservative estimate was for functional maturity during the spawning period, September-December (L50F = 65.8 cm). Progressively smaller L50 estimates occurred as we incorporated additional reproductive phases and seasonality, the smallest being for physiological maturity during the entire year (L50PY = 50.0 cm). Both functional and physiological maturity criteria are valid for estimating L50 but can yield drastically different parameter estimates based on the definition of mature or immature reproductive phases. Fish that are relatively slow growing, late to mature, and whose fisheries encompass a wide size range, such as E. coruscans, may be more subject to unreliability in the development of their reproductive indicators (length-at-maturity and spawning period) when inconsistent maturity classification criteria are executed over time. We discuss the reproductive characteristics of E. coruscans in the MHI, the use of alternative maturity classification criteria in L50 estimation, the impact on resultant parameters estimates, and the life history implications for the future fishery.
Intolerance of uncertainty and attitudes towards persons living with disabilities in medical students: Is there a correlation?

Introduction Patients living with a disability experience an illness trajectory that may be uncertain. While navigating clinical uncertainty has been well-researched, health professionals’ intolerance of uncertainty for patients living with disabilities has yet to be explored. We examined the relationship between medical students’ intolerance of uncertainty with their attitudes towards people living with disabilities to better inform curricular efforts. Methods We employed a survey-based design consisting of the Intolerance of Uncertainty Scale (IUS) and Disability Attitudes in Healthcare (DAHC) Scale to medical students upon completion of core clerkships (end of third-year of training). Data were de-identified. Mean DAHC and IUS scores were compared with published values via t-test. Linear regression was used to examine IUS/DAHC scores for anonymized students. Pearson correlation coefficient was calculated to assess correlation between IUS and DAHC scores. Results Response rate was 97% (268/275 students). Mean IUS score did not differ from previously cited medical student scores, but mean DAHC score was significantly higher than previously cited scores. We observed a statistically-significant relationship between IUS and DAHC scores. Students with greater intolerance of uncertainty had lower scores for disability attitudes [F(1,243) = 8.05, value of p < 0.01], with an R2-value of 0.032, suggesting that 3% of DAHC score variance can be explained by IUS score changes. Conclusion We identified a weak negative correlation between IUS and DAHC scores in medical students. Further research is needed to clarify findings and identify best practices that equip trainees with skills to care for patients with uncertain illness trajectories and patients living with disabilities.