Miracle-dz/UniFAR-FTUs huggingface dataset:
Automation of Microcontroller-Based Control System for Ph, Temperature, and Turbidity of Aquarium Water

This research is an experimental study to know the effectiveness of the control system for pH, temperature, and turbidity of aquarium water in ornamental fish cultivation. The method used is by assembling an automation tool for controlling the pH, temperature, and turbidity of the aquarium water based on a microcontroller, which is then compared with an aquarium without a control system. This tool is designed using the Arduino Uno as a system controller, the pH sensor E-201-C as a measuring tool for pH levels with a solenoid valve to drain pH up and pH down as a stabilizer for water pH levels, the DS18B20 sensor as a temperature measurement tool by utilizing a heater and DC fan as a water temperature stabilizer, and the turbidity sensor as a turbidity measurement tool with a clean water replacement system as a water turbidity stabilizer. Based on the experiments carried out, it was found that there were significant differences between aquariums using a control system automation tool compared to aquariums without a control system tool. This means that the system that is made is effective and proven to be able to maintain the environmental conditions of ornamental fish with measurement results of pH ranging from 7–7.5, the temperature of 24°–27°C, and water turbidity of 10 NTU.
Applying a Conditional GAN for Bone Suppression in Chest Radiography Images

Bone suppression in radiography is a suitable technique to evaluate the health of soft tissues in exams. For instance, these techniques are essential in evaluating chest radiography images during the COVID-19 outbreak. The purpose of this work is to propose an alternative to solve the bone suppression task in chest radiography images using Generative Adversarial Networks (GANs). Specifically, we used a conditional GAN type (cGAN) to provide a bone-suppressed version of the initial image. To quantify the results, it was necessary to review the main metrics and some state-of-the-art papers related to ours. We compared our result to works from the literature that used the same dataset as the proposal or related techniques. The most used dataset was the Japanese Society of Radiological Technology (JSRT) in these works. With this set of images, we reached a PSNR index of 34.96, which was better than that reviewed in the literature, and a similarity coefficient, known as SSIM, of 0.94. As for the loss calculated by MS-SSIM, we obtained the lowest compared to the reviewed works.
A high-field 3He metastability exchange optical pumping polarizer operating in a 1.5 T medical scanner for lung magnetic resonance imaging

After being hyperpolarized using the technique of Metastability Exchange Optical Pumping (MEOP), 3He can be used as a contrast agent for lung magnetic resonance imaging (MRI). MEOP is usually performed at low magnetic field (∼1 mT) and low pressure (∼1 mbar), which results in a low magnetization production rate. Polarization preserving compression with a compression ratio of order 1000 is also required. It was demonstrated in sealed cells that high nuclear polarization values can be obtained at higher pressures with MEOP, if performed at high magnetic field (non-standard conditions). In this work, the feasibility of building a high-field polarizer that operates within a commercial 1.5 T scanner was evaluated. Preliminary measurements of nuclear polarization with sealed cells filled at different 3He gas pressures (1.33 to 267 mbar) were performed. The use of an annular shape for the laser beam increased by 25% the achievable nuclear polarization equilibrium value (Meq) at 32 and 67 mbar as compared to a Ga.
Inferring complex networks from time series of dynamical systems: Pitfalls, misinterpretations, and possible solutions

Understanding the dynamics of spatially extended systems represents a challenge in diverse scientific disciplines, ranging from physics and mathematics to the earth and climate sciences or the neurosciences. This challenge has stimulated the development of sophisticated data analysis approaches adopting concepts from network theory: systems are considered to be composed of subsystems (nodes) which interact with each other (represented by edges). In many studies, such complex networks of interactions have been derived from empirical time series for various spatially extended systems and have been repeatedly reported to possess the same, possibly desirable, properties (e.g. small-world characteristics and assortativity). In this thesis we study whether and how interaction networks are influenced by the analysis methodology, i.e. by the way how empirical data is acquired (the spatial and temporal sampling of the dynamics) and how nodes and edges are derived from multivariate time series. Our modeling and numerical studies are complemented by field data analyses of brain activities that unfold on various spatial and temporal scales. We demonstrate that indications of small-world characteristics and assortativity can already be expected due solely to the analysis methodology, irrespective of the actual interaction structure of the system. We develop and discuss strategies to distinguish the properties of interaction networks related to the dynamics from those spuriously induced by the analysis methodology. We show how these strategies can help to avoid misinterpretations when investigating the dynamics of spatially extended systems.
LGPD Framework: An Implementation and Compliance Guide for Technology Areas

Considering the unrestrained consumption of personal data, the LGPD came to protect and regulate the treatment of data, whether digital or physical. Due to the lack of technical guides to interpret the LGPD and apply it in the technology area, a gap arises that impacts IT management. This paper proposes a conceptual framework composed of domains and components to facilitate the LGPD interpretation and implementation by technology areas. The framework was mainly inspired by the essential principles of COBIT 2019 and DevOps, which transform a concept into a practical method of understanding and implementation. The LGPD framework will guide organizations to be compliant in a shorter time and to provide cultural and behavioral changes.
Avaliando Métodos de Aprendizado de Máquina na Concepção de uma Abordagem para Predição Antecipada do Risco de Mortalidade em UTIs

Esta pesquisa tem por objetivo central a concepção de uma abordagem para predição do risco de mortalidade em UTIs. Foi empregada uma coorte de 17.734 pacientes provenientes do Banco de Dados MIMIC-III, sendo consideradas 10 variáveis preditoras de entrada e 8 métodos de Aprendizado de Máquina. A melhor performance foi alcançada pelo método Gradient Boosting Machine (GBM), que atingiu 0,843 (±0,015) de AUC e 0,503 (±0,048) de F1 score. Os resultados são promissores e, em alguns casos, superiores a outras propostas identificadas na revisão de literatura.
Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopic to Macroscopic Equations

From Microscopic Dynamics to Mesoscopic Kinematics. - Heuristics: Microscopic Model and Space-Time Scales. - Deterministic Dynamics in a Lattice Model and a Mesoscopic (Stochastic) Limit. - Proof of the Mesoscopic Limit Theorem. - Mesoscopic A: Stochastic Ordinary Differential Equations. - Stochastic Ordinary Differential Equations: Existence, Uniqueness, and Flows Properties. - Qualitative Behavior of Correlated Brownian Motions. - Proof of the Flow Property. - Comments on SODEs: A Comparison with Other Approaches. - Mesoscopic B: Stochastic Partial Differential Equations. - Stochastic Partial Differential Equations: Finite Mass and Extensions. - Stochastic Partial Differential Equations: Infinite Mass. - Stochastic Partial Differential Equations:Homogeneous and Isotropic Solutions. - Proof of Smoothness, Integrability, and Ito's Formula. - Proof of Uniqueness. - Comments on Other Approaches to SPDEs. - Macroscopic: Deterministic Partial Differential Equations. - Partial Differential Equations as a Macroscopic Limit. - General Appendix.
Anxiety among Adolescents: The Role of Internet Addiction and Gender

Internet addiction among adolescents has been found to propagate several mental health problems, one major being anxiety. The study investigated the anxiety levels of adolescents who are addicted to the internetand sought to observe a gender difference as well. The study adopted a 2 x 2 factorial design. Through purposive sampling, 240out of 400 adolescents attending high school qualified as having internet addiction (adolescents with high level of internet addiction =164, and adolescents with low level of internet addiction = 124). ANOVA was used to compare gender with their level of anxiety for high and low level of internet addicts. The results indicated that highly addicted adolescents experienced more anxiety than with who had low addiction to the internet. Adolescent girls were observed with more anxiety
Effect of Solitaire FR Stent Thrombectomy Combined with the Suction Thrombus on the Clinical Effect and Prognosis of Acute Middle Cerebral Artery Occlusion

To determine the curative effect and prognosis of Solitaire FR stent thrombectomy integrated with the suction thrombus on the treatment of acute middle cerebral artery occlusion (AMCAO). Based on the treatment, patients suffering from AMCAO were separated into the Solitaire FR group (Solitaire FR stent + suction thrombus) and suction group (suction thrombus). Modified thrombolysis in cerebral infarction grading, National Institutes of Health Stroke Scale (NIHSS) score, modified Rankin Scale score, and safety performance were compared between the two groups. The operation time in the suction group was obviously shorter than the Solitaire FR group (P < 0.05). Significant differences were observed in the NIHSS scores 1 week and 4 weeks after the operation between the Solitaire FR group and the suction group (P < 0.05). The NIHSS scores 1 week and 4 weeks after operation were significantly lower than those before operation (P < 0.05). NIHSS scores 1 week after operation did not show obvious difference (P > 0.05). The Solitaire FR group showed obvious lower NIHSS scores than the suction group 4 weeks after surgery (P < 0.05). Statistically obvious difference in cerebral infarction grading of modified thrombolysis between the Solitaire FR group and the suction group were observed (P < 0.05). The recanalization rate of the Solitaire FR group was obviously higher than the suction group (P < 0.05). The difference in the monthly modified Rankin Scale score was obvious (P < 0.05). The good prognosis rate of the Solitaire FR group was obviously higher than the suction group (P < 0.05). No obvious differences in the incidence of internal bleeding, reocclusion, and 3-month postoperative mortality were observed (P > 0.05). These results showed that the treatment of the Solitaire FR stent + suction thrombus in AMCAO patients has a good thrombus recanalization rate and is helpful in improving the prognosis and safety performance.
Management of Chronic Illness through Music Therapy: A Review

Chronic illnesses result in several undesirable physiological and psychological outcomes in patients which are seldom addressed in clinical settings. The transition from the biomedical model to the biopsychosocial model has led to the development of novel interventions for chronic illness management. Music therapy is a non-pharmacological intervention used to address patient needs in the aftermath of treatment. This review highlights the application of music therapy across chronic illnesses. Both, active and receptive music therapy have shown positive results across chronic illnesses; on physiological, physical and psychological parameters. The efficacy of music therapy interventions is enhanced when used in combination with other non-pharmacological interventions. However, contradictory results have also emerged and there is an urgent need to execute well-designed randomized studies with an adequate sample size to arrive at a definite conclusion.
Study on the Mechanism of Action of STAT3 in the Drug Resistance of Gastric Cancer Cells

Gastric cancer is the most common digestive tract malignancy in China and has a poor prognosis, with a 5-year overall survival rate of only 35.1%. Because its early symptoms are not obvious and early diagnosis is complicated, there is an urgent need to find biological targets for diagnosis and treatment. This research detected the expression of STAT3 in gastric cancer tissues and adjacent tissues by Western blot and immunohistochemical experiments and conducted corresponding basic experiments to explore the role of STAT3 in inhibiting the proliferation of cisplatin-resistant gastric cancer cells and promoting their apoptosis, including the construction of cisplatin-resistant gastric cancer cell line, the knock-out STAT3 in drug-resistant gastric cancer cells by CRISPR-Cas9, and the comparison of the proliferation and apoptosis of drug-resistant cells and drug-resistant cells STAT3(-). The mechanism provides a possible intervention target for clinically improving the prognosis of patients with cisplatin-resistant gastric cancer.
Characteristics of Virulence Genes of Clinically Isolated Staphylococci in Jingzhou Area

Purpose The aim of this study was to further understand the distribution characteristics of staphylococcal virulence genes in the Jingzhou area, in order to provide a basis for clinically effective treatments and prevention and control measures. Methods A total of 181 strains of staphylococci were collected from Jingzhou Hospital Affiliated to Yangtze University from April 2013 to April 2021, which were divided into the methicillin-resistant Staphylococcus aureus (MRSA) strains and the methicillin-sensitive Staphylococcus aureus (MSSA) strains and coagulase-negative staphylococci (CoNS) by an antimicrobial susceptibility test and PCR method. The 73 MRSA strains were classified by staphylococcal cassette chromosome mec (SCCmec) and Staphylococcus protein A (Spa). Sea, sec, seh, sek, seb, seq, sep, Tsst-1, clfA, clfB, fnbA, hla, hld, hlg, lukE, bbp, cna, eap, ebpS, sdrC, sdrD, sdrE, and Pvl genes were also detected in all strains. The χ2 test was used for statistical analysis for comparison between groups. Results The 181 strains of staphylococci were divided into 97 strains of MRSA, 54 strains of MSSA, and 30 strains of CoNS. 73 MRSA strains were derived from clinical specimens such as lower respiratory tract, secretions, sepsis secreted by tissue infection, urine, and hydrothorax. There were 70 strains that can be identified including SCCmec types and 15 Spa types of all strains, while the most popular types were SCCmecIII-t030 and SCCmecIV-t437 from lower respiratory tract specimens. There were four virulence genes that were detected including seb, seq, clfB, and hld in CoNS strains, while the detection rates of these four virulence genes in Staphylococcus aureus were higher than that of CoNS, and the differences were statistically significant, P < 0.05(P=0.004, P=0.001, P=0.001, P=0.001). 23 virulence genes were detected in 151 strains of Staphylococcus aureus, among which the detection rate of the Tsst-1 gene was the lowest and that of the clfB gene was the highest, and the other genes were 4.6%∼98.0%. The detection rates of sea, sek, seb, seq, sep, cna, eap, ebpS, sdrC, and sdrE virulence genes in MRSA were higher than that of MSSA, and the differences were statistically significant, P < 0.05 (P=0.001, P=0.001, , P=0.001, P=0.001, P=0.009, , P=0.019, P=0.001, , P=0.001, P=0.001, , P=0.003). Conclusion The mainly prevalent type of MRSA strains in Jingzhou is SCCmecIII-t030 in lower respiratory tract specimens. Virulence genes of Staphylococcus aureus and antibiotic drug resistance rates are also different from other regions. In this experiment, virulence genes were also detected in CoNS, suggesting that more attention should be paid to the prevention and treatment of these strains clinically.
Emprego de classificação orientada a objeto para atualização de área de imóveis urbanos no recadastramento imobiliário

O recadastramento imobiliário confere aos municípios justiça fiscal e atualização do uso da terra. Porém, é um processo custoso e manual, mesmo com o uso de geotecnologias. Este trabalho avaliou o uso da classificação orientada a objetos (GEOBIA) para identificar edificações em área urbana a partir de ortofotos geradas com VANTs, para fins de recadastramento imobiliário. Os melhores resultados foram obtidos com o classificador Random Forest, cuja acurácia balanceada foi de 84,58%. Apesar dos bons resultados, o método ainda não é indicado para atualizar dados imobiliários.
Physics of the Atmosphere and Climate, 2nd edn., by M.L. Salby

shows how it gets turned into practice. The author knows personally about space flight from all angles, being himself a physicist, with a Ph.D. in solid state physics, who subsequently became an astronaut and flew on the Space Shuttle Columbia, and who now heads the Institute of Astronautics at the Technical University of Munich. His book is in its second edition, substantially enlarged and updated compared to the original version. He opens with a review of rocket fundamentals pointing out that, prior to space flight, there was widespread ignorance about the reality of Newton’s Third Law. Remarkably, the august and normally reliable New York Times ridiculed the pioneer rocket designer Goddard for suggesting that a rocket could ‘push on nothing’ and thus work in the vacuum of space. But this, as every physicist knows, is exactly what rockets do. One hopes that the developments in space flight of the last half-century have corrected the image of dynamics in the minds of non-scientists. After deriving the rocket equation (and the relativistic rocket equation), the author goes on to consider the principles of rocket flight quite generally, including in free space, in a gravitational field, impulsive manoeuvres, propulsion, performance and payload. There follow chapters on specialised topics like rocket staging, engines (both thermal and electric) and ascent flight. Chapter on orbits and transfer between them lead on to a discussion of interplanetary flight. The chapter on re-entry explains the daunting problem to be solved: that the kinetic/ potential energy of *33 MJ/kg acquired during ascent must somehow be lost in a controlled way, quite fast, but without melting the spacecraft or incinerating its occupants or cargo. Several solutions are discussed in detail, including the selection of trajectories, heat flux, material properties, reflection and skip re-entry, and reentry with lift (as in the erstwhile Shuttle). It is a big book, and the items mentioned above are just examples. The author also covers diverse but relevant physics such as the three-body problem, orbit perturbations, orbital resonances, chaos, rigid body dynamics and much else. There are numerous examples and problems at the ends of chapters, a select bibliography (mostly books), and two appendices. Although the text is translated from the original German, the style is pleasant and easy to read. Everything a physicist could possibly want to know about the reality of space flight is here.
Neutrino Masses and Mixings from Continuous Symmetries

Flavour symmetries are fundamental tools in the search for an explanation to the flavour puzzle: fermion mass hierarchies, the neutrino mass ordering, the differences between the mixing matrices in the quark and lepton sector, can all find an explanation in models where the fermion generations undergo specific geometric relations. An overview on the implementation of continuous symmetries in the flavour sector is presented here, focussing on the lepton sector.
ANALISIS SENTIMEN PADA TWITTER TERHADAP PROGRAM KARTU PRA KERJA DENGAN RECURRENT NEURAL NETWORK

Twitter menjadi salah satu media sosial dengan jumlah pengguna aktif paling banyak di Indonesia. Dengan berlakunya program kartu prakerja sejak pendaftaran gelombang pertama hingga sekarang, banyak pengguna twitter di Indonesia yang menyampaikan pendapat dan gagasan mengenai program kartu prakerja melalui twitter. Oleh karena itu penelitian ini mencoba untuk menganalisa tweet berbahasa Indonesia yang membicarakan mengenai program kartu prakerja yang ditandai dengan kata kunci prakerja dalam tweet tersebut. Analisis sentimen dilakukan dengan menggunakan metode Reccurent Neural Network (RNN) dengan Long Short Term Memory (LSTM). Dalam penelitian ini data yang digunakan di crawling menggunakan bantuan Twitter API yang diambil pada periode bulan April 2020 sampai Januari 2021 sebanyak 4122 tweet. Penelitian menghasilkan sebuah sistem yang mampu melakukan klasifikasi sentimen (positif, netral dan negatif) terhadap sebuah tweet. Tingkat akurasi dari proses training yang didapat sebesar 95,66% serta tingkat akurasi dari proses testing sebesar 64,48%. Beberapa kendala dalam proses analisis sentimen adalah data untuk pembuatan model tidak seimbang sehingga menyebabkan overfitting,
Avaliação de Modelos Neurais para Sumarização de Código-fonte

Sumarização de código-fonte é a tarefa de criar automaticamente uma descrição em linguagem natural a partir de um trecho de código-fonte. Nos últimos anos, diversos modelos baseados em algoritmos de Aprendizado Profundo têm sido propostos na literatura para essa tarefa. Neste trabalho, realizamos uma análise comparativa entre quatro modelos neurais (CodeBERT, CodeT5, CodeTrans e PLBART) do estado da arte utilizando duas bases de dados comumente usadas para a linguagem de programação Java. Os resultados experimentais demonstram que o modelo CodeTrans obteve o melhor desempenho com base em diferentes medidas de avaliação e que existe uma grande variabilidade nas descrições geradas pelos modelos avaliados.
Sistema de Recomendação em Grafos utilizando Influência Coletiva

Este artigo apresenta um estudo teórico sobre parâmetros de convexidade em grafos com uma aplicação na área de Sistema de Recomendação. O objetivo é modelar a propagação de uma recomendação em uma rede de modo que um conjunto mínimo de usuários possa recomendar itens aos demais usuários associados com o máximo de aceitação e menor perda de informação repassada.
Handbook of semidefinite programming : theory, algorithms, and applications

Contributing Authors. List of Figures. List of Tables. Preface. 1. Introduction H. Wolkowicz, et al. Part I: Theory. 2. Convex Analysis on Symmetric Matrices F. Jarre. 3. The Geometry of Semidefinite Programming G. Pataki. 4. Duality and Optimality Conditions A. Shapiro, K. Scheinberg. 5. Self-Dual Embeddings E. de Klerk, et al. 6. Robustness A. Ben-Tal, et al. 7. Error Analysis Zhiquan Luo, J. Sturm. Part II: Algorithms. 8. Symmetric Cones, Potential Reduction Methods F. Alizadeh, S. Schmieta. 9. Potential Reduction and Primal-Dual Methods L. Tuncel. 10. Path-Following Methods R. Monteiro, M. Todd. 11. Bundle Methods and Eigenvalue Functions C. Helmberg, F. Oustry. Part III: Applications and Extensions. 12. Combinatorial Optimization M. Goemans, F. Rendl. 13. Nonconvex Quadratic Optimization Y. Nesterov, et al. 14. SDP in Systems and Control Theory V. Balakrishnan, Fan Wang. 15. Structural Design A. Ben-Tal, A. Nemirovski. 16. Moment Problems and Semidefinite Optimization D. Bertsimas, J. Sethuraman. 17. Design of Experiments in Statistics V. Fedorov, J. Lee. 18. Matrix Completion Problems A. Alfakih, H. Wolkowicz. 19. Eigenvalue Problems and Nonconvex Minimization F. Jarre. 20. General Nonlinear Programming S. Kruk, H. Wolkowicz. References. Appendix A-. 1. Conclusion and Further Historical Notes. A-. 2.Index.