Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Financial Structure, Financial Literacy and Financial Behavior on Household Financial Resilience Using Financial Inclusion and Financial Decision as Intervening Variables On Cancer Survivors Household In East Java During COVID-19 Pandemic

The research aims to analyze the influence of financial structure, financial literacy and financial behavior on household financial resilience where financial inclusion and financial decisions are intervening variables in families of cancer survivors in East Java during the Covid 19 pandemic. It uses a quantitative approach by collecting data through surveys. The population of this study is the overall data on the number of women with breast cancer in East Java. Based on secondary data obtained from the 2018 Indonesian Health Profile issued by the Ministry of Health of the Republic of Indonesia, there were 937 breast cancer sufferers in East Java up to 2018. The results showed of the determination coefficient test obtained the number 0.547826, which means that the variables used in the study are Financial Structure, Financial Literacy, Financial Behavior, Financial Inclusion and Financial Decisions can influence the Financial Resilience variable by 54.78%. Financial inclusion and financial decisions as intervening variables, where financial inclusion has a negative and significant effect, while financial decisions have a positive and significant effect.
MADRL-Based Joint Edge Caching and Bitrate Selection for Multicategory 360° Video Streaming

360° video streaming has gained increasing attraction in the current popular virtual reality, AR, and MR applications, which can provide users with an immersive experience. In tile-based 360° video streaming, edge caching and bitrate selection strategies are jointly designed to improve users’ Quality of Experience (QoE), which incorporates video quality and rebuffer. However, the existing QoE-driven approaches use a unified QoE function to guide the decisions of edge caching and bitrate selection, which neglect the impact of video quality and rebuffer on different categories of 360° videos, thus failing to provide high-average QoE for users. In this article, we propose a multiagent deep-reinforcement-learning-based joint edge caching and bitrate selection strategy for multicategory 360° video streaming to improve users’ average QoE. The key idea is to employ different edge caching and bitrate selection strategies for different video categories to enable fine-grained performance optimization. Based on multicategory 360° video streaming, we first model a joint edge caching and bitrate selection problem as a multiagent cooperative Markov decision process with the goal of maximizing users’ average QoE. Next, an Field-of-View-aware multiagent soft actor–critic (FA-MASAC) algorithm is designed to help agents collaboratively learn optimal edge caching and bitrate selection decisions in a distributed way, in which each video category is treated as an agent. Finally, experimental results on real-world data sets show that our proposed strategy can greatly benefit users’ average QoE compared to existing strategies.
The Uncharted Link Between Desogestrel and Hypercalcemia

This report presents a unique case of hypercalcemia with an elusive etiology. A 37-year-old Caucasian female with a history of gonadotropin-secreting pituitary microadenoma and recurrent nephrolithiasis was found to have hypercalcemia, hypercalciuria, elevated 1,25-dihydroxyvitamin D levels, and low parathyroid hormone levels. Extensive investigations were conducted to identify the cause, including ruling out sarcoidosis and other granulomatous disorders. Imaging and diagnostic testing revealed normal results. The patient’s condition considerably improved after the cessation of an oral contraceptive pill containing desogestrel. This surprising association raises the possibility that the use of desogestrel could result in hypercalcemia as one of the side effects. To ensure proper care and avoid consequences linked to severe hypercalcemia, a high index of suspicion is needed to detect the underlying cause of hypercalcemia, even in the absence of usual indications.
A Tracer Study of AB Psychology Graduates' Employment Outcomes for Batches 2017-2020: Effects of Pandemic and Bases for Program Enhancement

This study examined the employment outcomes of 53 AB Psychology graduates out of 98 from the University of Southern Mindanao in the Philippines between 2017 and 2020. The findings showed that 66.04% of the graduates secured full-time employment, with a majority working in private firms (50.94%) and government organizations (13.21%), mainly in Davao City. The most common job role for these graduates was an administrative assistant in human resources and related fields. Those who worked for themselves had an annual income of P100,000 or more, while overall incomes ranged from P100,000 to P200,000. The COVID-19 pandemic caused increased stress and difficulty in finding employment for graduates. Despite these challenges, the alumni appreciated the program's curriculum, extracurricular activities, interdisciplinary learning, and opportunities for gaining practical knowledge. Graduates aspiring to become licensed guidance counselors and psychologists pursued advanced degrees in psychology, such as MA in Guidance and Counseling or MS/MA in Psychology. The pandemic influenced the perspective of recent graduates regarding further education. This research highlights the importance of practical experience, interdisciplinary learning, and a curriculum that prepares students for the current job market challenges faced by AB Psychology graduates. To address the pandemic's impact on employment, it is crucial to implement program interventions like virtual internships, expand career counseling services, and establish connections with companies to increase job opportunities. Curriculum adjustments should also be made to meet evolving market demands and ensure graduates are ready for a changing labor market.
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey

Android malware detection(AMD) is a challenging task requiring many factors to be considered during detection, such as feature extraction and processing, performance evaluation, and many available datasets. AMD aims to develop more effective algorithms and models to protect users' privacy and data security. Deep learning(DL) has recently received considerable attention in AMD, especially convolutional neural networks(CNN), which can handle binary data in Android applications more efficiently, avoid feature engineering, and cope well with rapid malware updates. However, CNN-based AMD papers are increasing and scattered. This article tries to review AMD techniques based on CNN. First, the main steps in AMD are systematically reviewed, such as data collection and preprocessing, feature extraction, feature representation, model training, and model evaluation. Then, the literature is summarized according to the different features used in detection. Finally, the challenges of AMD and future research directions are presented.
The European Consortium For Mathematics in Industry

HO: Maths underpins our understanding of almost all ‘industrial’ processes including social science (we regard ‘industry’ as a broad term, using the EU definition: ‘any activity of social or economic value’). The aims of ECMI are to introduce academic mathematicians to real problems and to convince industry that they need mathematics and mathematicians. The main mechanisms used are European Study Groups with Industry (ESGIs) and workshops where industrial scientists can meet informally with mathematicians to brainstorm their problems. We support a number of Special Interest Groups in topics ranging from weather prediction to digital factories. These groups act as a focal point for researchers from all over Europe and can lead to EU funded proposals.
Limit cycles in uniform isochronous centers of discontinuous differential systems with four zones

We apply the averaging theory of first order for discontinuous differential systems to study the bifurcation of limit cycles from the periodic orbits of the uniform isochronous center of the differential systems \begin{document} $\dot{x}=-y+x^2, \;\dot{y}=x+xy$ \end{document} , and \begin{document} $\dot{x}=-y+x^2y, \;\dot{y}=x+xy^2$ \end{document} , when they are perturbed inside the class of all discontinuous quadratic and cubic polynomials differential systems with four zones separately by the axes of coordinates, respectively. Using averaging theory of first order the maximum number of limit cycles that we can obtain is twice the maximum number of limit cycles obtained in a previous work for discontinuous quadratic differential systems perturbing the same uniform isochronous quadratic center at origin perturbed with two zones separately by a straight line, and 5 more limit cycles than those achieved in a prior result for discontinuous cubic differential systems with the same uniform isochronous cubic center at the origin perturbed with two zones separately by a straight line. Comparing our results with those obtained perturbing the mentioned centers by the continuous quadratic and cubic differential systems we obtain 8 and 9 more limit cycles respectively.
Weak solution of stochastic differential equations with fractional diffusion coefficient

ABSTRACT In stochastic financial and biological models, the diffusion coefficients often involve the term , or more general |x|r, r ∈ (0, 1). These coefficients do not satisfy the local Lipschitz condition, which implies that the existence and uniqueness of the solution cannot be obtained by the standard conditions. This article establishes the existence of the weak solution for this class of stochastic differential equations by using the martingale representation and weak convergence methods.
Numerical solutions of a steady 2-D incompressible flow in a rectangular domain with wall slip boundary conditions using the finite volume method

In this study, a finite volume method (FVM) is suitably used for solving the problem of a fully coupled fluid flow in a rectangular domain with slip boundary conditions. Numerical solutions for the flow variables, viz. velocity, and pressure have been computed. The FVM, with an upwind scheme, has been implemented to discretize the governing equations of the present problem. The well known SIMPLE algorithm is employed for pressure-velocity coupling. This was executed with the aid of a computer program developed and run in a C-compiler. Computations have been performed for unknown variables with Reynolds numbers (Re) = 50, 100, 250, 500, 750 and 1000. The behavior of steady-state solutions of velocity and pressure of the fluid along horizontal and vertical through geometric center of the rectangular domain have been illustrated. We observed that, with the increase of the Reynolds number, the absolute value of velocity components decreases whereas the pressure value increases. MSC 2010: 35Q30, 65M08, 65N08, 74S10, 76D05, 76M12
Forced second order conservative systems with periodic nonlinearity

© Gauthier-Villars, 1989, tous droits réservés. L’accès aux archives de la revue « Annales de l’I. H. P., section C » (http://www.elsevier.com/locate/anihpc) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Self-triggered output synchronization of heterogeneous linear agents through a cloud repository

ABSTRACT This paper deals with a self-triggered output synchronization control method of a heterogeneous linear multi-agent system through a cloud repository. In the cloud-mediated self-triggered control approach, each agent asynchronously accesses the cloud repository to get past information on its neighbouring agents. The proposed controller consists of a virtual exosystem (VE) and a local tracking controller, where the VE is driven by an input based on the neighbours' information stored in the cloud. At the access time, each agent predicts future behaviours of the VEs' states incorporated in its neighbouring agents as well as of its own VE and locally determines its next access time to the cloud. Different from conventional self-triggered control methods, each agent cannot instantaneously communicate with its neighbouring agents at every triggering time. In this paper, we introduce an output synchronizing controller design method through a cloud repository which can cope with difficulties caused by non-instantaneous communications through the cloud repository. As the main result, we prove that the proposed self-triggered controller achieves the bounded output synchronization of the closed-loop system without exhibiting any Zeno behaviours.
Output‐feedback model predictive control for stochastic systems with multiplicative and additive uncertainty

This paper studies the output‐feedback model predictive control (MPC) design problem for linear systems with multiplicative and additive random uncertainty. We first present an off‐line optimization algorithm to optimize feedback gains of the observer and the dual‐mode control policy. After that, by defining a cuboid tube whose center and boundary are both time‐varying variables, we develop a set sequence with increased freedom to contain stochastic system trajectories. A quadratic performance function with analytic upper and lower bounds is minimized such that it decreases exponentially to a finite range under the expectation. The resulting MPC algorithms are proved to guarantee practically stochastic input‐to‐state stability. A numerical example of the wind turbine model illustrates the properties of the MPC algorithms.
Avaliação de sustentabilidade para estações de tratamento de esgoto: uma revisão bibliométrica

A Agenda 2030 adotou como um dos seus Objetivos de Desenvolvimento Sustentável (ODS): “assegurar a disponibilidade e gestão sustentável da água e saneamento para todas e todos”. Trata-se de uma pretensão que requer o envolvimento de atores, gestores, pesquisadores, setor privado e sociedade civil. A ciência pode se engajar na referida agenda por meio da produção de conhecimento e subsídios aos gestores. O presente estudo tem como objetivo realizar uma análise bibliométrica das publicações relacionadas à sustentabilidade no tratamento de efluentes do período de 2015 a 2020. Para isso, utilizou-se a base de dados Scopus, buscando caracterizar as publicações com os temas “sustainability”, “wastewater treatment” e “assessment”, considerando a quantidade, ano, principais autores, revistas, principais países, palavras-chave e principais artigos. O estudo identificou uma crescente quantidade de publicações sobre o tema e algumas metodologias importantes como a Avaliação de Ciclo de Vida (ACV) e a Análise Multicritério. Além disso, concluiu-se que, embora existam várias publicações sobre o tema, em alguns artigos e metodologias não são abordados todos os pilares da sustentabilidade.
What Happened in 2020: a Topic Modeling Approach based on a Topic Similarity Metric

2020 was atypical mainly due to the Covid-19 pandemic's beginning which has become a vastly discussed subject worldwide. Unsurprisingly, online news websites have followed this trend, besides publishing traditional subjects (e.g., sports, business, and politics). Understanding how the subjects interact with each other over the year is a challenge. In this paper, we intend to build a 2020 timeline based on the subjects and their similarity using a topic modeling approach (LDA) and a novel topic similarity metric. To accomplish that, we scrap news articles websites to build a collection of 2020 news. After that, the collection is pre-processed and sliced monthly. We use an LDA approach to discover the latent topics from all temporal collections. Next, we calculate the similarity between the topics across 2020 using five semantic correlations: born, death, keep, merge, and split. The discovered topics and the drift semantic between them show that building a meaningful 2020 time line is possible.
Comparison of Two Different Doses of Nalbuphine With Isobaric Ropivacaine in Patients Undergoing Lower Segment Cesarean Section Under Subarachnoid Block: A Randomized Controlled Trial

Introduction: Obstetric analgesia and anesthesia is a challenge in itself. It requires an understanding of the physiological changes during pregnancy and labor and the effect of anesthetic agents on the fetus and newborn. Because neuraxial techniques provide superior analgesia and materno-fetal benefits, their use have increased significantly over the past three decades or so. A combination of local anesthetics like ropivacaine with opioids like nalbuphine has been shown to have additive beneficial effects in subarachnoid block (SAB) in lower segment cesarean section (LSCS). However, the optimal dose combination of ropivacaine and nalbuphine to maximize their benefits and minimize side effects remains to be established. Our study has compared the clinical efficacy and safety of 0.75% isobaric ropivacaine (15 mg) with two different doses of nalbuphine (0.4 mg and 0.6 mg) when given intrathecally for LSCS in terms of quality of sensory and motor blocks, hemodynamic parameters, duration of effective analgesia, Apgar score in newborn, and associated side effects. Method and materials: In this prospective, randomized, double-blind study, a total of 69 parturients between the age of 20-45 years, belonging to American Society of Anesthesiologists (ASA) grade I and II, undergoing cesarean section under SAB were evaluated. Patients were randomly allocated into three groups of 23 each by using the draw-of-lots technique. The patient and the observer were kept blinded as to which dose of drug (intrathecal) was being given to the patient. Patients in Group A received 0.75% isobaric ropivacaine 15 mg (2 ml) + 0.3 ml normal saline; patients in Group B received 0.75% isobaric ropivacaine 15 mg (2 ml) + 0.4 mg of nalbuphine (0.2 ml) + 0.1 ml normal saline; patients in Group C received 0.75% isobaric ropivacaine 15 mg (2 ml) + 0.6 mg of nalbuphine (0.3 ml). The total volume of drug solution in all three groups was 2.3 ml. Result: We found that the time to onset of sensory block was shortest in Group A (5.87±1.290 minutes) followed by Group C (6.00±1.087 minutes) and Group B (6.17±1.696 minutes); time to two-segment regression of sensory block was longest in Group C (101.74±8.996 minutes) followed by Group B (85.87±15.348 minutes) and Group A (65.00±7.071 minutes); duration of effective analgesia was longest in Group C (206.09±18.766 minutes) followed by Group B (183.91±15.880 minutes) and Group A (121.74±11.833 minutes); and time from SAB to complete regression of motor block was longest in Group C (216.52±15.553 minutes) followed by Group B (203.48±20.138 minutes) and Group A (174.78±14.731 minutes). Side effects were comparable among all three groups. Conclusion: The optimal dose combination in SAB for cesarean section was 15 mg of 0.75% isobaric ropivacaine + 0.6 mg nalbuphine, with minimal side effects.
Robust bootstrap forecast densities for GARCH returns and volatilities

ABSTRACT Bootstrap procedures are useful to obtain forecast densities for both returns and volatilities in the context of generalized autoregressive conditional heteroscedasticity models. In this paper, we analyse the effect of additive outliers on the finite sample properties of these bootstrap densities and show that, when obtained using maximum likelihood estimates of the parameters and standard filters for the volatilities, they are badly affected with dramatic consequences on the estimation of Value-at-Risk. We propose constructing bootstrap densities for returns and volatilities using a robust parameter estimator based on variance targeting implemented together with an adequate modification of the volatility filter. We show that the performance of the proposed procedure is adequate when compared with available robust alternatives. The results are illustrated with both simulated and real data.
A preconditioned fast Hermite finite element method for space-fractional diffusion equations

We develop a fast Hermite finite element method for a one-dimensional space-fractional diffusion equation, by proving that the stiffness matrix of the method can be expressed as a Toeplitz block matrix. Then a block circulant preconditioner is presented. Numerical results are presented to show the utility of the fast method.
Nematic liquid crystal mixtures dedicated to thermally tunable terahertz devices

ABSTRACT Low-loss nematic liquid crystal mixtures with low temperatures of nematic-to-isotropic phase transition are tested at terahertz frequencies. Experimental results show that through control of ambient temperature, the thermally induced transmittance’s tunability of quartz transducers infiltrated with these mixtures can change of up to 4% for 0.9 THz. Thermally tunable devices based on soft matter may find applications in next-generation modulation and switching components operating in the terahertz regime. GRAPHICAL ABSTRACT
Analytic dependence on parameters for Evans' approximated Weak KAM solutions

We consider a variational principle for approximated Weak KAM solutions proposed by Evans. For Hamiltonians in quasi-integrable form \begin{document} $h(p)+\varepsilon f(\varphi,p)$ \end{document} , we prove that the map which takes the parameters \begin{document} $(\varepsilon,P,\varrho)$ \end{document} to Evans' approximated solution \begin{document} $u_{\varepsilon,P,\varrho}$ \end{document} is real analytic. In the mechanical case, we compute a recursive system of periodic partial differential equations identifying univocally the coefficients for the power series of the perturbative parameter \begin{document} $\varepsilon$ \end{document} .
Analysis of the Characteristics of Zheng's Laryngology in Treating Constipation

: Constipation is a common clinical disease and often occurs as a concomitant symptom of other diseases. It often happens to children, the elderly and the frail. Doctors have always used Dachengqi Decoction and its addition or subtraction to treat hot constipation; The method of warming yang is used to treat cold constipation. At the same time, rhubarb and other laxative drugs are needed to assist. The medicinal properties of rhubarb are bitter cold, severe, and easy to damage yin and consume qi. It is not suitable for children and the elderly and infirm. Zheng's laryngology advocates the treatment of hot constipation with cool and moist, and the treatment of cold constipation with warm and moist, which reflects the academic thought of Zheng's laryngology to protect vitality and yin. The warm and moist method for treating constipation has distinctive characteristics and definite curative effect, which is worthy of clinical promotion and application. What’s more, it is especially suitable for children and the elderly and infirm.
Output‐based event‐triggered control for networked control systems: tradeoffs between resource utilisation and robustness

The additional threshold of a mixed event-triggering mechanism (ETM) makes it impossible to guarantee the requirement of asymptotic stability. As a consequence, it is necessary to investigate input-to-state practically stable (ISpS) which is a mild stability property. In this study, the authors firstly model the closed-loop event-triggered control system as a delayed linear parameter-varying (LPV) systems with a mixed ETM and parameter uncertainty. Then, a co-design condition in a sense of ISpS of controller gain and trigger parameters for the delayed LPV systems is obtained by employing the parameter-dependent Lyapunov–Krasovskii functionals and congruent transformation method. Moreover, based on the obtained co-design condition in a sense of ISpS, an optimisation algorithm for the tradeoffs between resource utilisation and robustness of the closed-loop system is further proposed. Finally, two numerical examples are provided to demonstrate the effectiveness of the proposed method.