Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Severe Torsion Deformation on Structure and Properties of Titanium–Nickel Shape Memory Alloy

In the present work, the possibility of applying severe torsion deformation (STD) to a bulk near-equiatomic NiTi shape memory alloy in order to accumulate super-high strain and improve mechanical and functional properties was studied. STD was performed using the multidirectional test system “BÄHR MDS-830” at a temperature of 500 °C (the upper border temperature for the development of dynamic polygonization) in 14 and 30 turns with accumulated true strain values of 4.3 and 9.1, respectively. Structural phase state and properties were studied using differential scanning calorimetry, X-ray diffractometry, transmission electron microscopy, hardness measurements, and thermomechanical bending tests. STD at 500 °C allowed for the accumulation of high strain without failure. As a result of STD in 30 turns, a submicrocrystalline structure with an average grain/subgrain size of about 500 nm was formed. This structure ensured the achievement of high maximum completely recoverable strain values of 6.1–6.8%. The results obtained show the prospects of applying severe torsion straining deformation to titanium nickelide in terms of forming an ultrafine-grained structure and high properties.
Robust cabbage recognition and automatic harvesting under environmental changes

In Japanese agriculture, labor shortages are becoming increasingly severe due to the lack of farmers and aging. Therefore, extensive research has been conducted on the automation of cabbage harvesting. In automatic cabbage harvesting, cabbage detection is performed using deep learning. In the evening hours, if the backlight enters the camera, cabbage detection is not possible. Moreover, cabbages in the back row that are not to be harvested are detected and targeted for harvest. To solve these problems, we have proposed new recognition methods in this paper. We performed cabbage detection using the lower half of the cabbage and performed cabbage selection using an RGB-D camera. Moreover, sliding-mode control was incorporated to enable automatic harvesting in the soft soil. The experimental results demonstrate the effectiveness of these proposed methods. GRAPHICAL ABSTRACT
The Enumerative Geometry of Double Covers of Curves

Let Adm(g, h)_2m be the space of admissible double covers C → D of curves of genus g and h, with all the ramification and branch points of C and D marked, and where the covering involution permutes an extra set of 2m marked points of C pairwise. For each 0 ≤ n ≤ 2g +2−4h there is a natural map φ_n : Adm(g, h)_2m → Mbar_g,n+2m mapping the admissible cover C → D to the stabilization of the source curve C together with the 2m points and the first n ramification points. In this thesis we will study classes of the form [φ_n (Adm(g, h)_2m )] in the Chow ring of Mbar_g,n+2m . We will derive a formula for the intersection of any such class with the class of any decorated stratum class of Mbar_g,n+2m in Chapter 2. In Chapter 3 we will use this formula to compute the class [φ_n(Adm(g, h)_2m)] in terms of bases of decorated stratum classes for low values of g, h, n and m. In particular we give explicit expression in terms of decorated stratum classes of the class [φ 0 (Adm(4, 1))] of the locus of bielliptic curves of genus 4 and the class [φ 0 (Adm(5, 0))] of the locus of hyperelliptic curves of genus 5. In Chapter 4 we will prove that for g + 2m ≥ 12 and g ≥ 2 the class [φ_n(Adm(g, 1)_2m)] is not contained in the tautological ring. For g + 2m = 12 and g ≥ 2 we will show that the same result holds on the moduli space M_g,n+2m of smooth curves.
Impact of urbanization factors considering artificial water dissipation on extreme precipitation: A numerical simulation of rainfall in Shanghai

Climate change and rapid urbanization have jointly altered the climate characteristics of cities, including rainfall, humidity, and temperature, and have resulted in an increase of extreme precipitation. In this study, to identify the hydrothermal driving factors responsible for extreme precipitation in urban areas, sensitivity experiments were carried out on two extreme precipitation events in Shanghai, China, using the weather research and forecasting (WRF) model coupled with the artificial water dissipation urban canopy model (AWDUCM). The simulation results from the WRF model and observations from 35 weather stations across Shanghai were compared. The results showed that WRF could simulate the spatial distribution and precipitation intensity of extreme rainfall more accurately when integrated with the AWDUCM. With the AWDUCM incorporated, the root‐mean‐square errors of the two simulated precipitation events were 9.1 and 9.9 mm respectively (accounting for approximately 20% of the total rainfall). The near‐surface temperature and specific humidity in the AWDUCM simulation were approximately 0.5°C and 1 g·kg−1 higher than in the NON simulation (that did not invoke the AWDUCM) respectively. Urbanization factors increase the near‐surface temperature and specific humidity in urban and built‐up land, and the results of this study indicate that these are two of the driving forces affecting precipitation. Increased water vapor and urban heat island effects caused by urbanization are enhancing the intensity of extreme precipitation in Shanghai.
Films from PVA and Sansevieria trifasciata Leaves Extracts as a Smartphone Protector with Radiation Reducing Property and Its LC-MS Analysis

Sansevieria trifasciata (mother-in-law's tongue), an ornamental plant widely found in Indonesia, can absorb electromagnetic radiation in various electronic devices. This study aims to find the best S. trifasciata extract as an electromagnetic and thermal radiation reducer emitted from a smartphone. S. trifasciata leaves were macerated using ethanol, acetone, and dichloromethane. The extract was mixed with PVA as a film and tested for electromagnetic radiation using a radiation measuring device type GM-3120. Thermal radiation was tested using a temperature sensor (PASCO CI-6505B) connected to a PASCO 550 Universal Interface. All smartphone protective films decreased radiation from the smartphone, and the acetone extract caused the most significant radiation decrease, with the best results at a concentration of 5%. An S. trifasciata extract contained alkaloids, saponins, steroids, phenolics, and tannins based on the phytochemical tests. Based on LC-MS data, the dominant compounds identified from the three extracts of S. trifasciata is a group of alkaloids, fatty acid, and steroid. The functional groups that are thought to play a role in reducing radiation are the C-O, C=O, and C-OH functional groups. A compound that is thought to contribute to the reduction in radiation is neuroscogenin, a steroid group.
Insect Meal as an Alternative to Protein Concentrates in Poultry Nutrition with Future Perspectives (An Updated Review)

In recent years, interest has grown among poultry nutritionists in using alternative protein sources, such as insect meal, to meet the protein requirements of poultry due to sustainability concerns surrounding traditional protein sources such as soybean and fish meal. Insect meal can be produced from different insects, including black soldier fly, mealworms, and house crickets, and its nutrient composition varies depending on the insect species, the substrate they are reared on, and the production method. This review article provides an updated overview of insect meal as a new form of protein concentrate in poultry diets, including its nutritional value, advantages, challenges, and future prospects. Insect meal has been shown to be a rich source of protein, amino acids (lysine, methionine), and minerals (calcium, phosphorus, zinc), with a high digestibility rate, making it a valuable feed ingredient for poultry production. Additionally, using insect meal in poultry feed could reduce the cost of production and the environmental impact on the industry. Furthermore, the use of insect meal has the potential to improve the growth performance and meat quality of poultry species. However, several challenges related to large-scale insect production, legal regulatory frameworks, and consumer acceptance need to be addressed. Future research and development could help overcome these challenges and increase the adoption of insects as a potential source of protein in poultry feed. This review provides an updated and comprehensive overview of insects as a potential source of protein for poultry nutrition and highlights the possible perspectives of insect meal to contribute to a more sustainable and efficient poultry production system. While challenges remain, the utilization of insect meal in poultry feed has the capability to enhance the sustainability and efficiency in the poultry industry. Hence, insect meal emerges as a highly encouraging protein alternative, offering sustainable prospects for its utilization within the poultry sector. However, advancements in insect production technology and efficiency have the potential to raise the production scale while lowering prices, making insect meals more affordable compared to conventional protein sources. Based on the comprehensive analysis, it is recommended to further explore the practical implementation of insect meal as a reliable and efficient means of supplying protein in poultry nutrition.
KOMPARASI ALGORITMA KLASIFIKASI UNTUK MEMPREDIKSI KELULUSAN MAHASISWA PROGRAM STUDI TEKNIK KOMPUTER JARINGAN

Tingkat kelulusan mahasiswa dalam suatu institusi pendidikan sangatlah penting karena selain untuk tetap menjaga kredibilitas institusi tersebut, tingkat kelulusan juga berperan dalam menjaga rasio antara mahasiwa dengan dosen agar tetap dalam takaran yang tepat. Untuk itu, informasi yang cepat, tepat, dan akurat tentang klasifikasi tingkat kelulusan mahasiswa akan sangat dibutuhkan pihak institusi sehingga dapat dijadikan strategi ataupun solusi yang tepat dalam upaya meningkatkan trend positif terkait tingkat kelulusan mahasiswa. Jumlah kelulusan mahasiswa Program Studi Teknik Komputer dan Jaringan pada Politeknik Negeri Kupang cenderung mengalami penurunan jumlah wisudawan setiap tahun sehingga menjadi polemik internal. Sedangkan saat ini sebuah Perguruan Tinggi atau Universitas dituntut untuk selalu memiliki keunggulan bersaing dengan memanfaatkan semua sumber daya yang dimilikinya. Selain sumber daya sarana, prasarana, dan manusia, sistem informasi adalah salah satu sumber daya yang dapat digunakan untuk meningkatkan keunggulan bersaing. Salah satu disiplin ilmu yang mempelajari metode untuk mengekstrak pengetahuan atau menemukan pola dari suatu data yang besar adalah Data Mining. Data mining adalah proses melakukan ekstraksi untuk mendapatkan informasi penting yang sifatnya implisit dan sebelumnya tidak diketahui, dari suatu data. Ada 5 peranan utama data mining, yaitu: Estimasi, Prediksi, Klasifikasi, Klastering, dan Asosiasi. Algoritma yang di gunakan pada penelitian ini lebih dari satu model sehingga penulis Mengkomparasi Algoritma Klasifikasi Untuk Memprediksi Kelulusan Mahasiswa, serta memining knowledge dari dataset kelulusan mahasiswa untuk : membandingkan algoritma yang paling akurat dalam penentuan klasifikasi kelulusan mahasiswa. Algoritma- algoritma yang digunakan adalah Logistic Regression, Decision Tree Classifier, KNeighbors Classifier, SVC, Random Forest Classifier, Gradient Boosting Classifier dan GaussianNB.
Programa Condicionamento Vocal e Respiratório (CVR II)

Proposta recente de apresentação de Programa de Condicionamento Vocal e Respiratório (CVR I) incentivou a continuidade (CVR II), considerando novas estratégias de treinamento muscular vocal e respiratório que pudessem contribuir para melhor desempenho de profissionais da voz. Para a condução da ação, mais uma vez, houve a participação integrada de fonoaudiólogos e fisioterapeutas e, no papel de participantes, profissionais da voz. Planejada para dez encontros, em que dois deles (início e fim) foram destinados à coleta de dados, a proposta teve como objetivo aumentar ainda mais a resistência vocal e respiratória dos participantes, promovendo melhor rendimento profissional. Exercícios de trato vocal semiocluído e respiratórios foram realizados com o uso dos incentivadores denominados New Shaker® e Respiron Athletic 2®. Trata-se de mais uma experiência relatada na direção de convocar outros profissionais a colocarem em prática ações para o condicionamento vocal e respiratório de profissionais da voz. O uso de incentivadores respiratórios e a parceria com a Fisioterapia são apresentados e recomendados para melhor entendimento e consequente atendimento das questões da voz e da respiração.
The mechanisms of mindfulness-based stress reduction and mindfulness-based cognitive therapy for cancer patients and survivors: A systematic review.

While many systematic reviews have focused on relationships between mindfulness-based interventions (MBIs) and myriad outcomes, no systematic review has examined the mechanisms through which MBIs affect outcomes in the context of cancer. A systematic review was conducted of experimental or quasi-experimental studies that longitudinally examined potential mechanisms of the effects of either mindfulness-based stress reduction (MBSR) or mindfulness-based cognitive therapy (MBCT) interventions with adult cancer patients and survivors. Searches were conducted in Pubmed, APA PsycInfo, Cumulated Index to Nursing and Allied Health Literature, Cochrane, and Scopus databases up to May 2022. The results of included studies were narratively synthesized and studies were graded for quality using a rubric tailored to mediational intervention studies. Of 156 experimental or quasi-experimental studies that implemented either MBSR or MBCT interventions with adult cancer patients and survivors, only 13 longitudinally tested for mediators (e.g., changes in mindfulness, rumination, and self-compassion) of intervention effects. Most studies lacked a strong, active control group and most (10/13) were of medium quality. Results on mindfulness as a mediator of intervention effects were inconclusive, and many other mediators were only tested within a single study. Methodological limitations, including lack of strong comparison groups and theoretical frameworks and inconsistent conceptualizations of mindfulness, preclude drawing strong conclusions from the current body of evidence. MBIs may operate differently for cancer patients/survivors, highlighting the importance of continuing to test for mediation within this population.
A Humanoid Robot Learns to Recover Perturbation During Swinging Motion

We present an approach on fall detection and recovery perturbation during humanoid robot swinging. Reinforcement learning ( ${Q}$ -learning) is employed to explore relationship between actions and states that allow the robot to trigger a reaction to avoid falling. A self-organizing map (SOM) is employed using a circular topological neighborhood function to transform continuous exteroceptive information of the robot during stable swinging into a discrete representation of states. We take advantage of the SOM clustering and topology preservation in the perturbation detection. Swinging and recovery actions are generated from the same neural model using a multilayered multipattern central pattern generator. Experiments, which were carried out in the simulation and on the real humanoid robot (NAO), show that our approach allows humanoid robots to recover from pushing successfully by learning to switch from a rhythmic to an appropriate nonrhythmic behavior.
Integral representations of some functionals of fractional Brownian motion

We prove change of variables formulas [It\^o formulas] for functions of both arithmetic and geometric averages of geometric fractional Brownian motion. They are valid for all convex functions, not only for smooth ones. These change of variables formulas provide us integral representations of functions of average in the sense of generalized Lebesgue-Stieltjes integral.
Non-Proportionality and Energy Resolution of a LaCl :10% Ce Scintillation Crystal

The electron and photon response of an aluminum canned LaCl :10% Ce crystal were measured using the Compton Coincidence Technique (CCT). The LaCl :10% Ce electron response increases from 7 keV to 30 keV by about 10%. Above 30 keV, the electron response levels, i.e., it is flat within 5%. Monte Carlo Particle code (MCNP4C) was used in the photon response calculation. The calculated theoretical photon response is in good agreement with the measured photon response. An energy resolution (full width at half maximum over the peak position) of % was observed for the 662 keV full absorption peak. The energy resolution as function of photon energy exhibits a linear relationship with the inverse square root of the energy. The step like curves of NaI(Tl) with a semi plateau in the energy range between 100 and 500 keV have not been observed for LaCl :10% Ce .
Gain-constrained minimum variance filtering with multiple packet dropouts and stochastic nonlinearities

This paper is concerned with the gain-constraint minimum variance filtering problem in the presence of multiple packet dropouts in both sensor-to-estimator and controller-to-actuator transmission links and simultaneously with stochastic nonlinearities and correlated noises. The probabilistic packet dropouts are modeled by independent and Bernoulli distributed random variables taking values of 1 or 0. The process noises and the measurement noises are both one-step autocorrelated and cross-correlated. The stochastic nonlinearities are described as multiplicative stochastic disturbances. The purposes of the gain-constraint minimum variance filtering problem is to design a filter to minimize the filter error variance and make the filter gain satisfying a certain equality constraint. A simulation example shows the effectiveness of proposed filter.
The first Colombian records of the Antillean Nighthawk (Chordeiles gundlachii), with notes on migrant Chordeiles in South America

The Antillean Nighthawk (Chordeiles gundlachii), a species very similar to the Common Nighthawk (Chordeiles minor), was presumed to migrate to South America following breeding in the Caribbean region. However, no concrete evidence of its presence there existed prior to 2018, when a geolocation study revealed the migration route and wintering area in western Brazil of an individual, including its possible presence in the Venezuelan-Colombian border during its fall migration. We found two misidentified specimens of this species in series of C. minor in two Colombian ornithological collections that definitely established its presence in Colombia. We also compare the migration paths of C. gundlachii with those of a similar study of the migrations of C. minor. We highlight the scarcity of spring specimens of both species in these collections, a pattern also evident in spatiotemporal modeling based on community science data. We suggest that further examination of series of C. minor in other South American collections, including genetic analyses, wider movement tracking studies, and stable isotope analyses could clarify the nonbreeding distributions of both migratory nighthawks. In addition, Antillean Nighthawk flight calls are distinctive and a good indicator of its presence thus can help to detect it and better understand its migration routes.
Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions

Uncertainties in variables and parameters cause optimization problems to move away from globally-optimal and uncertain solutions. Practitioners resort to finding robust and reliable solutions in such situations. Bilevel optimization problems involving a hierarchy of two nested optimization problems have received a growing attention in the recent past due to their relevance in practice. While a number of studies on bilevel solution methodologies and applications are available for a deterministic setup, but studies on uncertainties in bilevel optimization are rare. In this paper, we suggest methodologies for handling uncertainty in both lower and upper level variables that may occur from different practicalities. For the first time, we perform a systematic study demonstrating the effect of uncertainties in each level along with the definition of robustness and reliability in the context of bilevel optimization. The issues and complexities introduced due to such uncertainties are then studied through a number of test cases, for brevity, we only show results on three test cases. Finally, two real-world bilevel problems involving uncertainties in their variables are solved. The study provides foundations and demon- strates viable directions for further research in uncertainty-based bilevel optimization problems.
Hubungan antara Kemampuan Mengunyah Makanan dengan Kemampuan Artikulasi pada Anak Down Syndrome di Samarinda

Background:Skills in the process of eating will develop from an early age and allow for textural transitions that start from accepting a single texture into a variety of textures. Chewing problems are usually caused by abnormalities in the organs involved in the chewing process. Chewing activities involve good cooperation between the muscles of the face, lips, jaw and tongue, where the neuromotor function also help in clarity of articulation (Ganny, 2021) Purpose:This study aims to determine the relationship between the ability to chew food with articulation skills in children down syndrome in Samarinda Method:This research is quantitative by design correlation research. A sample of 33 samples based on inclusion criteria. Sampling technique viz cluster sampling with statistical tests using contingency coefficient Thesis Results:There is a relationship between the ability to chew food with articulation skills in children with Down syndrome in Samarinda. The result of the contingency correlation test was 0.009 <0.05 so that H0 was rejected and Ha was accepted. The correlation value is . 416, the strength of the relationship is moderate/sufficient and the direction of the correlation is positive. Conclusion:There is a relationship between the ability to chew food with articulation skills in children down syndrome in Samarinda
Rapid imaging of mammalian brain slices with a compact light sheet fluorescent microscope

Light sheet fluorescent microscopy is able to provide high acquisition speed and high contrast images, as well as the low photo-bleaching and photo-damage brought to the sample. Here we describe a compact setup design optimized for applications in neuroscience, in particular fast imaging of sub-neuronal structures in mammalian brain slices. We report this prototype instrument is capable of rapid imaging wide area of the dendritic or axonal arbor of a dye-filled neuron in hippocampal slice. We also show several applications of this compact light sheet fluorescent microscope, to demonstrate that our approach offers a powerful functionality to the neuroscience community that is not achievable with traditional imaging methods.