Miracle-dz/UniFAR-FTUs huggingface dataset:
Mixing Uncertainties in Low-Metallicity AGB Stars: The Impact on Stellar Structure and Nucleosynthesis

The slow neutron-capture process (s-process) efficiency in low-mass AGB stars (1.5 < M/M⊙ < 3) critically depends on how mixing processes in stellar interiors are handled, which is still affected by considerable uncertainties. In this work, we compute the evolution and nucleosynthesis of low-mass AGB stars at low metallicities using the MESA stellar evolution code. The combined data set includes models with initial masses Mini/M⊙=2 and 3 for initial metallicities Z=0.001 and 0.002. The nucleosynthesis was calculated for all relevant isotopes by post-processing with the NuGrid mppnp code. Using these models, we show the impact of the uncertainties affecting the main mixing processes on heavy element nucleosynthesis, such as convection and mixing at convective boundaries. We finally compare our theoretical predictions with observed surface abundances on low-metallicity stars. We find that mixing at the interface between the He-intershell and the CO-core has a critical impact on the s-process at low metallicities, and its importance is comparable to convective boundary mixing processes under the convective envelope, which determine the formation and size of the 13C-pocket. Additionally, our results indicate that models with very low to no mixing below the He-intershell during thermal pulses, and with a 13C-pocket size of at least ∼3 × 10−4 M⊙, are strongly favored in reproducing observations. Online access to complete yield data tables is also provided.
Oxygen fugacity of martian basalts from electron microprobe oxygen and TEM-EELS analyses of Fe-Ti oxides

Abstract The stoichiometry of titanomagnetite spinel in the martian basaltic meteorites is assessed using quantitative analysis of oxygen measured by electron microprobe and electron energy loss spectroscopy in the transmission electron microscope. The spinels are stoichiometric within the errors of the techniques, enabling the calculation of oxygen fugacity with confidence. The oxygen fugacity is calculated using the Ghiorso-Sack and Ca-QUIlF models, which also yield estimates of temperature. The oxygen fugacity of the martian basalts increases from 3 log units below the QFM buffer for QUE 94201 to QFM - 1.8 for EETA 79001 (both lithologies), to QFM - 1.0 for Shergotty, Zagami, and Los Angeles. Dar al Gani 476 spinels contain significant MgAl2O4 and FeCr2O4 components, complicating the use of Fe-Ti oxide models. The oxygen fugacity of Dar al Gani 476 is estimated to be 1.5 log units below QFM, on the basis of the Ghiorso-Sack model. The absolute error on the oxygen fugacity estimates is ± 0.5 log units; however, a consistent electron microprobe analytical routine was applied to all of the basalts, and the relative uncertainty is closer to 0.2 log units. Oxyexsolution has occurred in QUE 94201, but reconstruction of pre-exsolution titanomagnetite compositions permits the calculation of oxygen fugacity. Subsolidus reactions involving oxides and adjacent Fe-rich silicates are documented and the use of the Ca-QUIlF model for calculation of oxygen fugacity from these phases is discussed.
Sustainable Banking, Market Power, and Efficiency: Effects on Banks’ Profitability and Risk

The financial crisis seriously damaged the reputation of the banking sector, as well as its profitability and risk of insolvency, which led many banks to adopt a sustainable approach aimed at balancing long-term goals with short-term performance pressures. This article analyses how sustainable banking practices affect the profitability and the insolvency risk of banks. Moreover, we examine how sustainable strategies determine the effects of market power and efficiency on bank profitability. We used a two-step System-GMM to analyze an unbalanced panel of 1236 banks from 48 countries over the period 2015–2019. We found that sustainable banking practices increased profitability, and market power was an important determinant of profitability among conventional banks, but not among sustainable banks. Higher levels of cost scale efficiency led to greater profitability for both sustainable and conventional banks. However, there was no significant relationship between sustainable banking and insolvency risk. These results indicate that the traditional determinants of bank profitability are not relevant in explaining the superior profits of sustainable banks, which suggests the emergence of a new paradigm related to sustainability among the drivers of bank profitability.
Consensus Control of Linear Multiagent Systems Under Actuator Imperfection: When Saturation Meets Fault

This article is concerned with the consensus control problem for a general class of linear multiagent systems (MASs) subject to actuator imperfection consisting of both actuator saturations and actuator faults. A novel two-step saturation-resistant approach is proposed to attenuate the side effects resulting from the actuator imperfection. In the first step of controller design, the state information received from the neighboring agents is used to design a consensus controller capable of tolerating the actuator fault. Then, in the second step of controller optimization, the domain of attraction (DOA) is introduced for MASs to evaluate the performance of the controller and, subsequently, optimize the controller parameters to enlarge the DOA in terms of solutions to a certain set of matrix inequalities. Finally, simulation examples are provided to demonstrate the effectiveness of the developed saturation-resistant approach.
Minimising tool wear by optimisation (ANOVA) of cutting parameters in machining of 7075Al Alloy SiC particle composite

ABSTRACT In this experimental work, AA7075-15 wt. % SiC (10–20 µm) composite was made through stirring casting. Experiments were performed on this composite by tungsten carbide cutting tools of different nose radius at diverse cutting speeds, feed rate and depth of cut. Outcome of process parameters i.e cutting speeds, feed, depth of cut and nose radius on response i.e tool wear (flank & crater) was examined. Optimum amount of process parameters were obtained to minimise flank and crater wear using multi objective optimisation. According to outcomes of multi objective optimisation, optimum amount of cutting speed, feed, depth of cut and nose radius are 90.02 m/min, 0.15 mm/rev, 0.23 mm and 0.40 mm, respectively. Novelty this research is that little work is reported about optimisation of parameters while turning the AA7075-15 wt. %, to minimising tool wear. Aircraft, shipping and space industries demands machining with minimum amount of flank wear and crater wear.
Impact of Royal Jelly on Infertility: A Review

Royal Jelly (RJ) is most wanted healthy food supplement that makes lots of health benefits. One of the benefits include that it can act as potent supplement for healthy egg to help women with infertility. This review is focused on the recent developments in use of RJ in the treatment of infertility and boon for them to give a dream child. The healthy egg is very phenomenal key factor for the in vitro fertilization to be successful in sexing with sperm. RJ is traditionally used as health supplement for infertility treatment from the ancient time in Indian traditional system. The recent literature revealed that, scientific and traditional findings are proven it RJ is one of the therapeutic molecule and act as a food supplements that can be used it in to improve egg cell physiology. Although, there is no clinical research studies have been reported yet on RJ. Hence, in this review explored the comprehensive report on health benefits of RJ and its impact on reproductive aspects in particular in egg development of women during ovulation. This article will be the key step to the researchers and scientists who are involved in searching alternative, cost effective and without side effect for treating infertility in global scenario.
Semi-pilot tests of ethanol dehydration using commercial ceramic pervaporation membranes

Most research efforts about pervaporation in the open literature focus on membrane synthesis, trying to improve the membrane properties (flux and selectivity). However, industrial applications of pervaporation technology could become attractive if the current available membranes proved to have sufficient and stable performance in order to be integrated in the toolbox of process engineers, as a complementary separation process. In this study the ethanol dehydration performance of commercial hybrid silica membranes (HybSi®) was assessed in a semi-pilot pervaporation unit from a process-based perspective. The aim of the study was to reveal the high potential of the process and to create a benchmark for future studies in the field. The experimental results showed that the proposed pervaporation process can break the ethanol/water azeotrope, without the need for additional chemicals, resulting thus in the production of high purity ethanol. The overall assessment of the obtained pilot results showed that the proposed process is quite efficient for attracting the industrial interest.
Effect of EOR Chemical Flooding on Local Microbial Ecological Characteristics in Oilfield Mining Area

The 16SrDNA of total microbial DNA in 26 soil samples from three mining areas of an oil field was analyzed by high-throughput sequencing. The study found that the local microbial species in the mining area were rich, the pedigree was developed, and the dominant species were obvious. The differences in soil bacterial and fungal communities among the three mining areas were far greater than those within the group of four types of samples in the three mining areas. The study shows that the impact of chemical flooding on the local biodiversity of the oilfield is not different, and the impact on the local biodiversity of the oilfield mining area is large. There is no destructive impact on the environment.
Segmentation And Automatic Classification Of Skin Lesion Using Neural Networks

— Melanoma is a lethal disease often impossible to cure if detected at later stages. To save a person, it is necessary to detect melanoma at earlier stages because melanoma treatment is detected at prior stages. Due to several reasons, there is a need for an automated system to detect melanoma. An automated system for the segmentation and the skin lesion classification is proposed using the artificial neural network. Image segmentation is carried out to bifurcate input image into different clusters. In this proposed methodology, the Fuzzy C Means algorithm is used for the pre-segmentation, and then Gaussian Mixture Model is used for the modeling. The results of the Gaussian mixture model are not as efficient up to the desired level. Artificial Neural Networks are used to achieve the highest accuracy, and their accuracy is checked by using the parameters of sensitivity and specificity.
Synthetic routes to degradable copolymers deriving from the biosynthesized polyhydroxyalkanoates: A mini review

Polyhydroxyalkanoates are a family of natural polyesters being produced as intracellular carbon and energy reserves by a wide variety of microorganisms. They have developed rapidly in both research and development efforts glob- ally in the last 15 years. Till now, over 100 different types of PHAs have been successfully biosynthesized using both genetic engineering and fermentation techniques. Their unique biodegradable, biocompatible and thermoplastic character- istics make PHAs promising candidates for the commodity and biomedical applications. This review focused on the chem- ical synthesis of the derivatives of the biosynthesized PHAs.
Low pressure casting effect to tensile strength of aluminium

The air in the mould cavity is pushed out by liquid metal when the liquid metal entered mould cavity. In green sand-casting process, the air passes through the pores in the mould. Permanent mould doesn’t have pores and the air released from the mould cavity only through air outlet. Low pressure on mould cavity make liquid metal easier and faster filling the mould cavity, and make casting process can be done at lower temperature, the main focus of this research is about effect of pouring temperature on the low-pressure casting process to tensile strength and porosity of the aluminium. The casting process carried out at 750, 800 and 850°C. Aluminium smelting uses electric furnace and the mould used is a metal mould with a pressure of 0.33 atm. The casting process on aluminium at low pressure (-0.33 atm) and at a temperature of 750 °C produces the highest tensile strength compared to aluminium casting at 800 and 850 °C. The increasing pouring temperature increasing porosity of aluminium is from 1.86% at 750 °C to 4.03% at 850 °C.
Support for Nationalization and State Building in the Early American Republic

House deliberations over healthcare legislation in 1798 show members of the Fifth US Congress debating the constitutional basis of small government assumptions about states’ rights and federal power, asking why the regime’s principles should not be understood as requiring direct federal intervention in the lives of socially and economically vulnerable groups irrespective of states’ authority. Extending the current scholarly debate over nationalization and state building in early American thought, I suggest that questions alleged by many scholars to have been excluded from political and constitutional debate in the early republic were, in cases like this, robustly contested.
Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine

The wind power systems of variable velocity using a doubly-fed induction generator dominate large-scale electrical generation within renewable energy sources. The usual control goal of the wind systems consists of maximizing the wind energy capture and streamlining the energy conversion process. In addition, these systems are an intermittent energy source due to the variation of the wind velocity. Consequently, the control system designed to establish a reliable operation of the wind system represents the main challenge. Therefore, emulating the operation of the wind turbine by means of an electric motor is a common strategy so that the controller design is focused on the induction generator and its connection to the utility grid. Thus, we propose to emulate the dynamical operation of a wind turbine through a separately excited DC motor driving by a sensor-less velocity controller. This controller is synthesized based on the state-feedback linearization technique combined with the super-twisting algorithm to set a robust closed-loop system in the presence of external disturbances. A robust velocity observer is designed to estimate the rotor velocity based on the armature current measuring. Furthermore, a robust differentiator is designed for estimating the time derivative of the velocity error variable, achieving a reduction in the computational calculus. Experimental tests were carried using a separately excited DC motor coupled with a dynamometer to validate the proposed wind turbine emulator.
Case Report of Lambert Eaton Myasthenic Syndrome in a Patient with Small Cell Lung Cancer on Immune Checkpoint Inhibitor Therapy

Lambert Eaton myasthenic syndrome (LEMS) is a rare autoimmune neuromuscular junction disorder involving loss of functional pre-synaptic P/Q-type voltage-gated calcium channels. Many cases occur as a paraneoplastic disorder, often in small cell lung cancer (SCLC). Recently, immune checkpoint inhibitors (ICI) have emerged as treatment of choice for various malignancies. While generally well tolerated, certain ICI-treated patients experience neurologic immune-related adverse events (irAEs). Here, we explore therapeutic and diagnostic conundrums from the unclear etiology (paraneoplastic vs. irAE) of a case of LEMS in a patient with SCLC treated with ICI therapy. A 62-year-old female patient with SCLC was referred to EMG laboratory with 7 weeks of progressive weakness, shortness of breath and dysphagia. Due to tumor progression, immunotherapy with pembrolizumab was initiated five months prior to presentation. On examination, she had mild non-fatigable right-sided ptosis and diplopia, normal bulbar strength, and proximal greater than distal weakness of lower greater than upper extremities. Her reflexes were 2-/4 throughout, with left biceps reflex facilitating after 30 seconds of exercise. On nerve conduction studies (NCS), there was an amplitude increase in multiple nerves including the left median nerve (160%) and left ulnar nerve (370%) after 10 seconds of exercise. Paraneoplastic panel came back with elevated LEMS-related anti-P/Q-type voltage gated calcium channel antibodies at 0.19nmol/L (normal: ≤0.02nmol/L). This case illustrates the diagnostic and therapeutic challenges that surround LEMS in SCLC patients on immunotherapy. Diagnosis hinges on clinical presentation, motor NCS, and antibody testing while determination of the etiology (paraneoplastic vs ICI related LEMS) is more complex and may affect selection of the correct treatment. Therapy for ICI-related neuromuscular irAEs depends on symptom severity, but typically should include holding immunotherapy and administration of high dose corticosteroids as first line treatment with possible addition of IVIg and plasmapheresis. This differs from the common first line treatment for paraneoplastic LEMS, highlighting the importance of understanding of the etiology. Further research is needed to better understand optimal management.
THERAPIST’S EFFORTS IN RAISING CHILDREN’S AUTISTIC ATTENTION IN THEIR LETTER-RECOGNITION STUDIES

Autism is a pervasive disorder in children characterized by disorders and delays in cognitive, language, behavior, communication and social interactions. Autistic children in general will experience obstacles in learning, related to lack of social skills and behavior patterns that are not the same as children in general. One of the characteristics of children with autism is having a barrier in attention span, which has an impact on the learning process. Autistic children need learning methods in accordance with their characteristics, so that they can help their learning process. This research uses qualitative research methods with case study research type. The subjects of this study were parents and therapists who handled children with autism in the X therapy center in Padang city. Data collection techniques in this study were observation and interviews. This case study aims to determine the learning methods used by therapists in teaching are suitable for the subject in recognizing letters as well as obstacles and solutions in providing letter recognition teaching to children with autism. The question in this study is how to increase the attention span of children with autism in learning letter recognition and what obstacles the therapist encounters in the process of teaching letter recognition and how to solve the obstacles in the teaching process.
Graph-based saliency and ensembles of convolutional neural networks for glaucoma detection

Glaucoma, after cataracts, is the second leading cause of worldwide vision loss. An ophthal-mologist may use various tools and methods to diagnose a glaucomatous eye. Computer-aided methods involving deep convolutional neural networks also made it recently possible to detect glaucoma on fundus images. Previous studies traditionally trained a single convolutional neural network for automatic detection of glaucoma. In this study, a more advanced way of accurate automated glaucoma recognition is proposed. First, a graph-based saliency region detection is used to crop the optic disc and remove the redundant parts of the fundus images. Then, four methods are used to ensemble convolutional neural network models comprising up to three deep learning architectures for glaucoma classi-ﬁcation. The detection performance of this model is better than a recent study that used the same dataset. It is also as good as, or better than, the results reported by other recent research in the literature on glaucoma detection.
Sodium antimony sulfide (NaSbS2): Turning an unexpected impurity into a promising, environmentally friendly novel solar absorber material

We present a novel absorber material—NaSbS2—for solar cells. NaSbS2 is formed as an unexpected byproduct in the chemical synthesis of Sb2S3. However, NaSbS2 has many attractive features for a solar material. Here single phase NaSbS2 nanoparticles were synthesized through solution processing. NaSbS2 semiconductor-sensitized solar cells were demonstrated for the first time. The best cell yielded Jsc = 10.76 mA/cm2, Voc = 0.44 V, FF = 48.6%, and efficiency η = 2.30% under 1 sun. At the reduced 0.1 sun, the η increased to 3.18%—a respectable η for a new solar material.
The costs of being a good dad: egg-carrying and clutch size impair locomotor performance in male midwife toads (Alytes obstetricans)

Parental care is widespread across the animal kingdom. Parental behaviours are beneficial by increasing offspring survival but induce significant costs to the parents. Because parental care is far more common in females, the associated reproductive costs have been largely studied in this sex. Although male parental care is likely to involve significant costs, it has been markedly less well investigated. We studied the costs of egg-carrying on locomotor performance in an amphibian species (Alytes obstetricans) with male parental care. We examined complementary parameters including hopping performance, righting response, hindleg muscle response to egg burden, and homing time in males carrying or not carrying eggs. We found that carrying males showed altered locomotor performance for most traits. In addition, alteration of performance was closely related to relative clutch size. Clutch desertion occurred in smaller individuals carrying larger relative clutch mass, and performance after desertion was similar to that of non-reproductive individuals. Overall, our study demonstrates that carrying eggs significantly alters male mobility and that performance–clutch size trade-offs are relevant in understanding the evolution of paternal care.
Developing Learning Model Base On PMR Approach at Senior High School to Improve Student’s Motivation

There are several factors that cause the low achievement of students' mathematics learning outcomes in several senior high schools in the Dharmasraya district, the main factor is many students have difficulties in solve mathematic problems in their daily life, that caused the low of students achievement of students, including daily assessment and national assessment. The purpose of this research is for developing learning model base on realistic mathematic education (RME) approach. Developing learning model on topic Implementation of sequences and series based on RME is an effort for helping students in solving mathematics problems that they find in their daily life. The subject of this research is students grade XI of SMAN 1 Koto Salak. The method of this research used is design research using the Plomp development model. The techniques of data collection implemented using observation, questionnaires and assessment of mathematical test. The techniques of data analysis used are descriptive quanlitative and quantitative. The results of this research showed that the learning design with topic Implementation of sequences and series based on PMR approach has; The average value of HLT validity is 4.11 with a very valid category. The practical test of learning books applying PMR-based sequences and series by teachers and students is 85.02 and is classified as very practical. The average value of students' motivation in learning after being tested 83.3 and it means PMR approach also can improve student’s motivation in mathematics learning.