Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Future Implied Volatility Surface Using TDBP-Learning

Parametric volatility models can be seen as the result of some form of dimensionality reduction obtained by projecting the volatility surface into a basis of risk factors. Examples include polynomial models and stochastic volatility models having an explicit expression for the smile, such as the SVI and the SABR model. When modelling the dynamics of the risk factors, one can define some stochastic processes, consider a statistical model, or assume that they are function of some exogenous explanatory variables (such as the spot price and volume). In the first two, we are tied to our ability of capturing the true dynamics of the underlying stochastic processes, leading to computation errors, in the latter we assume known the explanatory variables. Alternatively, we can use machine learning to implicitly infer the dynamics of the risk factors, or that of their explanatory variables, from market data. We let the risk factors be function of some stochastic explanatory variables: the spot price, the set of time-to-maturity, the trading volume, some external noise factors, the estimated volatility, and financial indicators like the VIX. We use a statistical model to capture the relation between the risk factors and their explanatory variables, and estimate empirically the model parameters. The risk factors being stochastic, we estimate the future implied volatility surface on average, by solving its conditional expectation with respect to the explanatory variables. This is a multi-step prediction problem, and we propose to use temporal difference backpropagation (TDBP) models for learning to predict the value function. This way, we use market data to estimate the implicit stochastic processes driving the dynamics of the future volatility surface. We test the performance of our model on three well known parametric volatility models against Monte Carlo simulations, and we show the effects of the explanatory variables on the dynamics of the volatility surface. In all cases, we recover nearly exactly the expected volatility surface generated by the Monte Carlo simulations with only one five hundredth paths. Our framework can be applied to option pricing and hedging as well as to risk management.
Reinforcement learning based energy-efficient internet-of-things video transmission

The video transmission in the Internet-of-Things (IoT) system must guarantee the video quality and reduce the pack t loss rate and the delay with limited resources to atisfy the requirement of multimedia servic s. In this paper, we propose a reinforcement learning based energy-efficient IoT video transmission cheme that protects against interference, in which the base station controls the transmission action of the IoT device including the encoding rate, the modulation and coding scheme, and the transmit power. A reinforcement learning algorithm state-action-reward-state-action is applied to choose the transmission action based on the observed state (the queue length of the buffer, the channel gain, the previous bit error rate, and the previous packet loss rate) without knowledge of the transmission channel model at the transmitter and the receiver. We also propose a deep reinforcement learning based energy-efficient IoT video transmission scheme that uses a deep neural network to approximate Q value to further accelerate the learning process involved in choosing the optimal transmission action and improve the video transmission performance. Moreover, both the performance bounds of the proposed schemes and the computational complexity are theoretically derived. Simulation results show that the proposed schemes can increase the peak signal-to-noise ratio and decrease the packet loss rate, the delay, and the energy consumption relative to the benchmark scheme.
In silico and in vitro investigations of antihelmintic activities of selected approved drugs

We investigated the binding affinities of some approved drugs to ascaris suum Mitochondrial Rhodoquinol Fumarate Reductase (MRFR), an essential enzyme for ascaris survival, and the possibility of repurposing these drugs as antihelmintic agents using In silico molecular docking and in vitro paralysis and mortality times of fifteen selected front runners.
Delineating Patterns of Sexualized Substance use and its Association with Sexual and Mental Health Outcomes Among Young Gay, Bisexual and Queer Men in Singapore: A Latent Class Analysis

Background: Young gay, bisexual, and other men who have sex with men (YMSM) are vulnerable to the risks associated with sexualized substance use. This is a novel study in Singapore that aims to classify patterns of sexualized substance use among YMSM, and investigate its association with sexual and mental health outcomes. Methods: In this cross-sectional study among 570 YMSM aged 18 to 25 years old, latent class analysis (LCA) conducted to identify classes with similar patterns of sexualized substance use, across which measures of inconsistent condom use, recent STI diagnoses, past suicide ideation and depression severity were compared. Results: LCA revealed three classes of YMSM based on types of substances ever used in sexualized contexts, which we labelled as ‘substance-naïve’, ‘substance-novice’, and ‘chemsex’. Substance-naïve participants (n=404) had only ever used alcohol, while substance-novice participants (n=143) were primarily amyl nitrite users with a small proportion who reported using chemsex-related drugs. Chemsex partiipants (n=23) comprised individuals who had mostly used such drugs. Those in the chemsex group were more likely to report recent unprotected anal sex with casual partners, depression severity and a history of suicide ideation.Conclusions: Findings of this study highlight how the use of varying substances in sexualized contexts may be classified and characterized by different sexual and mental health outcomes. Health promotion efforts should be differentiated accordingly to address the risks associated with sexualized substance use among YMSM.
Contributo da ISO 19650-1 para a Organização e Digitalização da Informação Utilizando a Metodologia BIM

Resumo O trabalho colaborativo requer compreensão e confiança mútuas e um nível mais profundo de processos normalizados, do que tem vindo a ser prática corrente no setor da Arquitetura, Engenharia, Construção e Operação (AECO), para que a informação seja produzida e disponibilizada de forma consistente e em tempo útil. Os requisitos de informação são garantia que a informação passada entre os diversos intervenientes ao longo do ciclo de vida de um ativo construído é coerente, representando de forma eficiente o pretendido. Atualmente são gastos recursos muito consideráveis nas seguintes ações: i) correção de informação não estruturada; ii) gestão incorreta da informação por parte de profissionais, muitas vezes não especializados; iii) resolução de problemas decorrentes de esforços descoordenados das várias equipas envolvidas ao longo do ciclo de vida dos ativos construídos; e iv) resolução de problemas relacionados com reutilização e reprodução de informação. A norma ISO 19650 vem estabelecer regras para a gestão da informação ao longo de todo o ciclo de vida de um ativo construído, usando os mesmos princípios e requisitos de alto nível da metodologia BIM (Building Information Modelling). O presente artigo pretende fazer uma reflexão sobre os conceitos, princípios e requisitos para a organização e digitalização da informação em modelos BIM, de acordo com a norma ISO 19650, e considerando todas as fases do ciclo de vida de qualquer ativo construído (conceção, estudo prévio, anteprojeto, projeto de execução, construção, operação, manutenção, reabilitação, fim de vida), com vista a melhorar a gestão dessa informação.
Regulasi Siklus Sel

Siklus sel merupakan proses vital dalam kehidupan setiap organisme. Secara normal, siklus sel menghasilkan pembelahan sel. Pembelahan sel terdiri dari 2 proses utama, yaitu replikasi DNA dan pembelahan kromosom yang telah digandakan ke 2 sel anak. Secara umum, pembelahan sel terbagi menjadi 2 tahap, yaitu mitosis (M) (pembelahan 1 sel menjadi 2 sel) dan interfase (proses di antara 2 mitosis). Interfase terdiri dari fase gap 1 (G1), sintesis DNA (S), gap 2 (G2). Setiap tahap dalam siklus sel dikontrol secara ketat oleh regulator siklus sel, yaitu:
PENGARUH KEMUDAHAN TERHADAP KEPUTUSAN MENGGUNAKAN E-BANKING PADA BNI 46 KC KARANGAYU SEMARANG DENGAN MINAT NASABAH DAN KEPERCAYAAN SEBAGAI VARIABEL MEDIASI

Tujuan penelitian ini adalah untuk mengetahui pengaruh kemudahan terhadap keputusan menggunakan E-Banking pada BNI 46 KC Karangayu Semarang dengan minat nasabah dan kepercayaan sebagai variabel mediasi. Populasi dalam penelitian ini adalah seluruh nasabah yang terdaftar sebagai pengguna E-banking di Bank BNI 46 KC Karangayu Semarang sebanyak 44.380 nasabah (data EIS BNI 46 KC Karangayu Semarang). Teknik pengambilan sampel pada penelitian ini digunakan teknik Simple Random Sampling yaitu pengambilan sampel dengan acak sederhana dimana setiap unit analisis memperoleh kesempatan yang sama untuk dipilih sebagai sampel penelitian. Jumlah sampel yang diperoleh adalah 100 responden (dibulatkan ke atas agar dapat mewakili jumlah populasi). Metode analisis yang digunakan adalah pengujian instrumen data, uji kelayakan model, uji asumsi klasik, analisis jalur ( Path Analysis ). Kemudahan teknologi berpengaruh positif terhadap minat nasabah yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kemudahan teknologi berpengaruh positif terhadap kepercayaan nasabah yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kemudahan teknologi berpengaruh positif terhadap keputusan menggunakan E-Banking yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Minat nasabah berpengaruh positif terhadap keputusan menggunakan E-Banking yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kepercayaan nasabah berpengaruh positif terhadap keputusan menggunakan E-Banking yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kemudahan teknologi berpengaruh positif terhadap keputusan menggunakan E-Banking dengan minat nasabah sebagai mediasi yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kemudahan teknologi berpengaruh positif terhadap keputusan menggunakan E-Banking dengan kepercayaan nasabah sebagai mediasi yang dapat dilihat dari angka signifikansi sebesar 0,000 t tabel = 1,661. Kata kunci : Kemudahan, keputusan menggunakan E-Banking , minat nasabah dan kepercayaan
Adsorption of N/S-Heteroaromatic Compounds from Fuels by Functionalized MIL-101(Cr) Metal–Organic Frameworks: The Impact of Surface Functional Groups

The influence of the functional groups in MIL-101(Cr)-X metal–organic frameworks (MOFs) with X = H, NH2, and NO2 on the adsorption properties of N/S-heteroaromatic compounds from model fuels was investigated. Benzothiophene (BT), dibenzothiophene (DBT), quinoline, and indole were selected as representative organosulfur and organonitrogen contaminants in liquid fuels. Their adsorption on four MIL-101 materials from model fuels was evaluated in a batch adsorption system. Introducing amino or nitro group into MIL-101(Cr) leads to decreased adsorption capacities of BT and DBT from isooctane, especially the bulkier nitro group. The adsorption capacities of indole and quinoline from isooctane also decrease when introducing nitro group. However, the adsorption capacities of quinoline and indole on amino-MIL-101(Cr) increase by about 25% and 10% even through the porosity is 30% lower than that of the parent. The improved adsorption capacities of amino-MIL-101(Cr) for quinoline and indole are attributed to hydroge.
Electrochemical Impedance Spectroscopy Investigation of a Polyimide Coating on Q345 Steel

In the present work, polyimide coated turbodrill Q345 steel was prepared with different coating thicknesses (30, 50 and 80 μm). The corrosion resistance properties of those samples (exposed to a 3.0% NaCl solution) were performed by electrochemical impedance spectroscopy (EIS). Obtained impedance parameters were utilized to evaluate the effectiveness of anticorrosive properties. Pull-off adhesion and microhardness of samples which was exposed before and after to the corrosive environment were carried out to reveal the relationships between the degradation process and the mechanical properties changes in coating/metal system. Polyimide coated samples exhibit high adhesion and enhanced anticorrosion characteristics.
Three Timely Tools for Promoting First-Year Student Success During & After COVID-19: Positive Psychology, Mindfulness, & Self-Compassion

More than one-half of college students today report experiencing emotional distress and their distress rates have been increasing throughout the past decade. The COVID-19 crisis is further elevating students’ stress levels by increasing their sense of social isolation and restricting their access to usual sources of social and emotional support. These developments underscore the need for universities to enhance students’ emotional preparedness via campus-initiated outreach programs that deliver mental health and wellness education to incoming students. A growing body of scholarship points to the efficacy of three self-regulatory tools students can use to bolster their emotional and psychosocial capacity to thrive in college: (1) positive psychology, (2) mindfulness, and (3) self-compassion. The extensive body of research cited in this article strongly suggests that these tools can alleviate the growing mental health challenge on university campuses. If these practices are combined into an integrated tool set and delivered to students via engaging, interactive educational modules that are experienced by most or all of the entering class, they have the potential to exert a systemic and synergistic effect on student’ emotional wellbeing and university success—during COVID and beyond.
False Safety Behavior Elimination Therapy for Social Anxiety Disorder in Japanese: A Pilot, Single‐Arm Uncontrolled Study

Social anxiety disorder (SAD) is an excessive fear of social situations that can lead to serious functional impairment; it negatively affects a person’s self-esteem and social interactions. Its prevalence has increased over the past four decades, and SAD is one of the most prevalent psychiatric disorders in Japan. Therefore, more precise interventions are needed. This study administered false safety behavior elimination therapy (F-SET), which eliminates safety behavior (i.e., strategies that reduce anxiety), to six Japanese patients with SAD. This is the first adaptation of F-SET into Japanese. Seven patients were screened, 6 (mean age of 27.83, only males) were eligible for the study criteria. All patients received five weekly 60-minute F-SET sessions. At post-F-SET, the mean reduction in Liebowiz Social Anxiety Scale (LSAS) scores from baseline was -20.50 (95%CI: -30.65, -10.35, p = .003). After completing the treatment, all participants showed substantially decreased SAD symptoms, which indicates preliminary support for the adapted treatment’s efficacy.
LC-MS and GC-MS Based Isotopic Abundance Ratio Analysis of Consciousness Energy Healing Treated Ofloxacin

Ofloxacin is a broad-spectrum antibiotic, which is useful for the treatment of many Gram-positive and Gram-negative bacterial infections . This study was designed to investigate the impact of The Trivedi Effect ® -Biofield Energy Healing Treatment on the structural properties and the isotopic abundance ratio of ofloxacin using LC-MS and GC-MS spectroscopy. Ofloxacin sample was divided into two parts, one part of ofloxacin was considered as control (no Biofield Energy Treatment was provided), while the second part was treated with The Trivedi Effect ® -Consciousness Energy Healing Treatment remotely by a renowned Biofield Energy Healer, Alice Branton and termed as a treated sample. The LC-ESI-MS spectra of both the samples of ofloxacin at the retention time 3.02 minutes exhibited the mass of the protonated molecular ion peak at m/z 362.17 [M+H] + (calculated for C 18 H 21 FN 3 O 4+ , 362.15). The LC-MS based isotopic abundance ratio of P M+1 /P M in the treated ofloxacin was significantly increased by 28.65% compared with the control sample. Thus, 13 C, 2 H, 15 N, and 17 O contributions from (C 18 H 21 FN 3 O 4 ) + to m/z 363.17 in the treated sample were significantly increased compared with the control sample. In the GC-MS the retention times of the treated sample (23.08 minute) was found to be close to those of the control sample (22.87 minutes). The peak area % of treated ofloxacin was increased by 0.7% compared to the control sample. Similarly, the GC-MS based isotopic abundance ratio of P M+1 /P M in the treated ofloxacin was increased by 3.73% compared with the control sample. Hence, 13 C, 2 H, 15 N, and 17 O contributions from (C 18 H 21 FN 3 O 4 ) + to m/z 318 in the treated sample were significantly increased compared with the control sample. On the contrary, the isotopic abundance ratio of P M+2 /P M in the treated ofloxacin was decreased by 10.60% compared with the control sample. Therefore, 18 O contributions from (C 18 H 21 FN 3 O 4 ) + to m/z 319 in the treated sample were significantly decreased compared with the control sample. The LC-MS and GC-MS based isotopic abundance ratios of P M+1 /P M ( 2 H/ 1 H or 13 C/ 12 C or 15 N/ 14 N or 17 O/ 16 O) and P M+2 /P M ( 18 O/ 16 O) and peak area % in the treated ofloxacin were significantly altered compared to the control sample. The new form of treated ofloxacin would be better soluble and bioavailable compared to the control sample and would be very useful to design better pharmaceutical formulations that might offer better therapeutic response against urinary tract infections, infectious diarrhoea, infections of the urethra and cervix,
How to Teach Motivating and Hands-On Laboratory and Field Courses in a Virtual Setting

130 Laboratory and field courses are designed to help students achieve many different learning outcomes simultaneously. Traditionally, conflating learning outcomes from a specific lab experiment or field trip at a distinct location has not been a problem. But with current restrictions surrounding in-person teaching and travel, it has become necessary to find alternative ways of achieving those learning outcomes. One way to do that is by disentangling procedural skills from factual or conceptual contexts and interpersonal aspects, and addressing them individually through separate activities. In the following, I present suggestions for hybrid activities to replace traditional learning scenarios that we cannot easily replicate online. These suggestions work both in fully virtual settings and in hybrid ones, where some of the students attend physically while others join virtually.
Economic Analyses of Federal Scientific Collections: Methods for Documenting Costs and Benefits

Federal collections have been created to serve agency missions and, in a few cases, to comply with legislative and regulatory mandates. The benefits generated by federal scientific collections can take monetary and non-monetary forms, and are usually indirect and delayed. The value chains that connect costs to benefits are generally difficult to document. This report describes five methodologies that are available for describing and estimating the benefits federal collections generate. Departments and agencies can use the methods described for evidence-based decisions concerning policies and management practices for their institutional collections.
KEPUASAN PELANGGAN TERHADAP PELAYANAN JASA PENGUJIAN DI INSTANSI X

Agency X has implemented ISO 9001 with periodic evaluation. The research objective was to determine the quality of testing services. Measurement data for 2015, 2016, and 2017. The methodology used is quantitative descriptive narrative, data collection by a survey, observation, and interviews. Based on internal calculations of agency X, Permenpan number 14 of 2017, and 5 servqual dimensions. Results calculation of customer satisfaction in 2015, 2016, and 2017 have achieved the quality target. Customer dissatisfaction gap by 25% annually, one of the reasons is the duration of testing time that exceeds the provisions, due to additional requests from customers.
Indicative planning of the innovative development of a federal state in the context of the activation of unforeseen factors of a radical nature (at example of the COVID-19 pandemic)

The purpose of the article is to identify the main socio-economic causes and consequences of the COVID-19 coronavirus pandemic in indicative planning of the innovative development of a federal state, as well as the ways to overcome the negative consequences as a new and substantial example of impact of unforeseen factors of a radical nature to a federal state. The main fundamental consequences of the COVID-19 coronavirus pandemic appear to be two interrelated innovation processes (coronavirus’ affects): accelerated digitalization of all aspects of socioeconomic activity, as well as socio-economic innovation, namely “zeroing”, i.e. gradual displacement of a person from many processes where he is currently carrying out labor activities. In order to overcome the negative consequences of the coronavirus pandemic COVID-19 and other unforeseen factors of a radical nature federal states of the countries and region governments are apt use the tools of innovation and indicative planning.
STUDYING THE STABILITY BY USING LOCAL LINEARIZATION METHOD

Abstract: In this paper we study the stability of one of a non linear autoregressive model with trigonometric term by using local linearization method proposed by Tuhro Ozaki . We find the singular point ,the stability of the singular point and the limit cycle. We conclude that the proposed model under certain conditions have a non-zero singular point which is a asymptotically salable ( when 0 ) and have an orbitaly stable limit cycle . Also we give some examples in order to explain the method. Key Words : Non-linear Autoregressive model; Limit cycle; singular point; Stability.
Was wird aus dem harten Kern? Auswirkungen der Corona-Krise auf das Engagement für Geflüchtete

Wie wirkt sich die Corona-Krise auf die Strukturen und Formen des Engagements mit und für Geflüchtete aus, die sich nach dem Aktivierungsschub von 2015 in Deutschland herausgebildet haben? In diesem Beitrag liefern wir erste Antworten auf diese Frage. Wir stützen uns dabei auf 16 semi-strukturierte Interviews mit Engagierten aus Bayern, Baden-Württemberg und Brandenburg. Unsere Ergebnisse deuten an, dass die Corona-Krise bereits bestehende Herausforderungen der Zivilgesellschaft in diesem Bereich in besonderer Weise sichtbar gemacht hat. Das Engagement reduzierte sich vor der Corona-Krise auf einen harten Kern von Beteiligten - und dieser Kern wird nun an manchen Orten in seinem Bestand gefährdet.
NGO Support Software Solution: for effective reachability

: In India there are currently a lot of NGOs working for noble causes. Citizens are also eager to contribute. Unfortunately for a lot of these NGOs there is a shortage or absence of IT infrastructure, hindering their reach and effectiveness. We aim to aid such NGOs and provide them with the necessary IT infrastructure to optimize use of resources and increase their reach for food and money donations. The project includes a cross platform mobile application which will help them manage their volunteers, get orders by spreading awareness through a social media module to connect to people who wish to support them in this noble cause. There are many freelancing developers and existing apps, the goal is to extract all the best features, figure out best platforms, harness latest trends and develop the app at a cost that the NGO can afford. Our literature survey of existing app gave insights about designing the necessary modules that we must have. To have the analysis of people’s attitude, habits and trends, studying papers related to social media trends inspired us to harness its power. The study of other kinds of systems using mobile applications, encouraged us to consider options of 100% cost free background, enabling us to generate an economical solution.