Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learning

Liquidity risk arises from the inability to unwind or hedge trading positions at the prevailing market prices. The risk of liquidity is a wide and complex topic as it depends on several factors and causes. While much has been written on the subject, there exists no clear-cut mathematical description of the phenomena and typical market risk modeling methods fail to identify the effect of illiquidity risk. In this paper, we do not propose a definitive one either, but we attempt to derive novel mathematical algorithms for the dynamic modeling of trading volumes during the closeout period from the perspective of multiple-asset portfolio(s), as well as for financial entities with different subsidiary firms and multiple agents. The robust modeling techniques are based on the application of initial-value-problem differential equations technique for portfolio selection and risk management purposes. This paper provides some crucial parameters for the assessment of the trading volumes of multiple-asset portfolio(s) during the closeout period, where the mathematical proofs for each theorem and corollary are provided. Based on the new developed econophysics theory, this paper presents for the first time a closed-form solution for key parameters for the estimation of trading volumes and liquidity risk, such as the unwinding constant, half-life, and mean lifetime and discusses how these novel parameters can be estimated and incorporated into the proposed techniques. The developed modeling algorithms are appealing in terms of theory and are promising for practical econophysics applications, particularly in developing dynamic and robust portfolio management algorithms in light of the 2007–2009 global financial crunch. In addition, they can be applied to artificial intelligence and machine learning for the policymaking process, reinforcement machine learning techniques for the Internet of Things (IoT) data analytics, expert systems in finance, FinTech, and within big data ecosystems.
Mechanisms of Social Interaction and Virtual Connections as Strong Predictors of Wellbeing of Older Adults

Socially engaged older adults are less likely to decline in health and happiness and have a higher quality of life. Building upon this premise, examination was conducted on the domains of social determinants of health, specifically the social and community context per Healthy People 2030 objectives. These mechanisms of social interaction, in the form of group activities, community engagement, and virtual interactions via email or text message, were assessed using hierarchical regression analysis to find out their association with wellbeing, depression symptoms, and cognition of older adults. The data included a total of 4623 sample of older adults from the National Health and Aging Trend Study (NHATS) Round 8. The results showed that social support explained a 40.3% unique variance on wellbeing. The use of text message and email had a moderating effect on community engagement and self-reported depression level in older adults. Findings suggest that community programs, shared group activities, or technology training workshops can improve social interaction and support cognition and reduce depression in older adults. Directions for future research include examining human behaviors and perceptions and increasing technology training sessions to promote independence of older adults and increase their social connections. In addition, participant involvement in interventions would enhance the possibility of success of such endeavors.
Standardized Precipitation Index Valuation of Climate Change in Bamenda

Rainfall events across the earth’s surface, for varied reasons, are unevenly distributed. Such variation is reflective of the availability of water for human use and the cycles of activities like agriculture [1]. In this era of global environmental changes, a sound knowledge of the climate of human-populated territories is indispensable, considering the current phenomenon of climate change [2]. Rainfall variability, which refers to changes in the amount of rain received in a specified geographic space within a defined period, can be daily, monthly, seasonal or annual. Precipitation change averaged over global land areas is low before 1951 and medium afterwards because of insufficient data, particularly in the earlier periods of the records [3]. The long-term mean rainfall for a month, season or year does not often indicate the regularity with which given amounts of rainfall can be expected, especially in the low latitudes where rainfall is known to be highly variable in its incidence from one year to another [1]. In the tropics, rainfall tends to be more variable seasonally than annually. Rainfall variability is a measure of the degree of likelihood that the mean amount of rainfall may be repeated each year, season or month depending on the period under consideration [4-6]. The paper bridges some methodological gaps in previous studies on climate variability in Cameroon. Ngakfumbe [7] analysed rainfall probability and reliability over Cameroon, using Standard Deviation (SD) and Coefficient of Variation (CV), with no other climatic index. Molua and Lambi [8] made a descriptive analysis of rainfall variability and its impact on water resources over Cameroon, to note that mean annual rainfall decreases inversely to latitude, without specifying the indices that show regional variations. Tume [9-11] assessed the susceptibility of water resources to climate variability on the Bui Plateau, using the Rainfall Seasonality Research Article
How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China

The current phase of the technological revolution and the accelerated rate of industrial change have encouraged the structural transformation of global infrastructure investment. This study aims to identify and evaluate the impact of new infrastructure investment on economic growth quality. This paper explains the theoretical mechanisms in terms of their effects on technological innovation, industrial structure, and productivity, using the three-dimensional analysis framework of economic growth conditions, process, and results. We then carry out an empirical examination based on provincial panel data for China from 2004 to 2019. The findings demonstrate that new infrastructure investment can significantly improve economic growth quality, and this conclusion still seems valid after conducting endogeneity treatments and robustness tests. Further mechanism evaluations indicate that new infrastructure investments contribute to boosting economic growth quality in terms of the condition, process, and results of economic growth by promoting technological innovation, improving industrial structure, and enhancing production efficiency. Moreover, the magnitude and mechanism of the positive effects differ depending on the heterogeneity of the region examined. In terms of the nonlinear change characteristics, the significant dual-threshold effect reveals that the marginal effects of new infrastructure investment on economic growth quality tend to be incremental under the threshold condition. This study provides a theoretical and factual basis for governments to enforce new infrastructure investments in the digital economy era, and it also has some value as a reference regarding the economic sustainability of developing countries.
Dynamics and control of different aircraft formation structures

Abstract The problem of aircraft formation dynamics and control is investigated from the viewpoint of formation architecture. Three different formation structures, leader-wingman, virtual leader and behavioural approaches are introduced. A comparative study is made using a unified approach through a suitable control law. The formation systems are analyzed on a quantitative basis and objective results are made available for the designer. The trade-off between system performance and complexity is indicated. A complete nonlinear simulation involving a flight-path change and a heading change manoeuvre is discussed. Results show the superiority of a behavioural approach to maintain close formations of vehicles.
Subject-auxiliary inversion in academic prose

This paper describes a corpus-based analysis of subject-auxiliary inversion in academic prose texts. The focus of the analysis is Chen’s (2013) X Auxiliary Subject construction (XASC), where X codes the fronting of a constituent which triggers the inversion of the auxiliary and the subject, as in Little did she understand what was being dealt with or What does that mean? It is argued that the distribution of subject-auxiliary inversion in academic prose is related to the degree of an addressor’s involvement in the texts. It will be shown that the more involvement in an academic prose text, the more inversions are to be expected. Furthermore, the data will show that subject-auxiliary inversion is far more frequently attested in learned exposition academic prose texts than in scientific exposition academic prose texts, and that the construction itself can be seen to serve as a discourse marker through which an addressor’s involvement is coded in academic writing.
Robust control of lateral obstacle avoidance for intelligent vehicle shared-driven by people and vehicles based on dynamic early warning

In the paper, a novel framework for the control system of lateral obstacle avoidance (LOA), which is based on dynamic early warning for intelligent vehicles shared-driven by people and vehicles (IVSDPVs), is presented to perform LOA in dynamic conditions (e.g. the speed of obstacle vehicles changes). Firstly, to achieve the accurate warning of IVSDPVs and adjust that with dynamic intervention of the driver in dynamic conditions, a multi-level early warning algorithm based on fusion and complementarity of the critical safe distance and reciprocal of collision time is proposed. Moreover, the critical safe distance is obtained using a combination of longitudinal with lateral directions. Secondly, if the driver does not respond until the “Critical” level warning, the IVSDPVs is automatically taken over by the control strategy to conduct active LOA control. Thirdly, to overcome the parameters perturbation, that is, mass, cornering stiffness, and signal disturb, the robust control strategy is presented to achieve accurate trajectory tracking of LOA. Finally, the effectiveness of the proposed control strategy is evaluated by testing on the Simulink/Trucksim platform to demonstrate the controller’s capability in obtaining accurate early warning and achieving LOA across various working conditions.
MODELLING OF THE RELATIONSHIP BETWEEN SUSTAINABILITY AND SHAREHOLDER WEALTH

A structural model for the verification of the causal relationship between sustainability and economic value added is presented in this paper. The study has shown that there is no definite and unique relationship between corporate sustainability and economic value. Based on the results of the structural modelling, sustainable value model ESGVA is methodologically improved. The model expresses all four dimensions of corporate sustainability: environmental, social, corporate governance and economic. The case study demonstrates how different the results are if a purely economic concept of company value is used compared to value that takes into account environmental, social and corporate governance factors. The model is applicable to comparative analysis of socially responsible investments. Sustainable value provides extra information on corporate performance and can be used for decision-making of individual investors.
Software Maintenance Success Recipes

Dispelling much of the folklore surrounding software maintenance, Software Maintenance Success Recipes identifies actionable formulas for success based on in-depth analysis of more than 200 real-world maintenance projects. It details the set of factors that are usually present when effective software maintenance teams do their work and instructs on the methods required to achieve success. Donald J. Reiferan award winner for his contributions to the field of software engineering and whose experience includes managing the DoD Software Initiatives Officeprovides step-by-step guidance on how to structure the job to complete the work related to the task. Covering all phases of maintenance up to software retirement, he identifies the resources required to ready support system operation during transition and turnover, details best practices for establishing a maintenance infrastructure, and spells out a wealth of best practices aimed at maintaining and sustaining the product once it is deployed. This book tells you how to manage todays ever-evolving maintenance environment so you can build the foundation for sound maintenance work. It explains how to create a robust management infrastructure, ensure proper resources are available, establish a user support structure, and conduct a meaningful measurement program. Filled with real-world examples and a detailed case study that is threaded across chapters, it provides you with the understanding and tools to plan for a major upgrade and determine the best time to retire your current software systems.
Plant-Mediated Green Synthesis of Ag NPs and Their Possible Applications: A Critical Review

The potential applications of Ag NPs are exciting and beneficial in a variety of fields; however, there is less awareness of the new risks posed by inappropriate disposal of Ag NPs. The Ag NPs have medicinal, plasmonic, and catalytic properties. The Ag NPs can be prepared via physical, chemical, or biological routes, and the selection of any specific route depends largely on the end-use. The downside of a physical and chemical approach is that it requires a wide space, high temperature, high temperature for a longer time to preserve the thermal stability of synthesized Ag NPs, and the use of toxic chemicals. Although these methods produce nanoparticles with high purity and well-defined morphology, it is critical to develop cost-effective, energy-efficient, and facile route, such as green synthesis; it suggests the desirable use of renewable resources by avoiding the use of additional solvents and toxic reagents in order to achieve the ultimate goal. However, each method has its pros and cons. The synthesized Ag NPs obtained using the green approach have larger biocompatibility and are less toxic towards the biotic systems. However, identifying the phytoconstituents that are responsible for nanoparticle synthesis is difficult and has been reported as a suitable candidate for biological application. The concentration of the effective bioreducing phytoconstituents plays a crucial role in deciding the morphology of the nanoparticle. Besides these reaction times, temperature, pH, and concentration of silver salt are some of the key factors that determine the morphology. Hence, careful optimization in the methodology is required as different morphologies have different properties and usage. It is due to which the development of methods to prepare nanoparticles effectively using various plant extracts is gaining rapid momentum in recent days. To make sense of what involves in the bioreduction of silver salt and to isolate the secondary metabolites from plants are yet challenging. This review focuses on the contribution of plant-mediated Ag NPs in different applications and their toxicity in the aquatic system.
Liquefaction Hazard Zonation based on a Probabilistic Model of Lateral Spread Exceeding a Pre-defined Threshold

Lateral spreads have been extensively found near waterfronts after major earthquakes as a consequence of liquefied saturated sandy soils, and they posed significant detrimental effects on widely-spreading urban lifelines. This paper proposes a displacement-based procedure for liquefaction hazard zonation by using a newly-developed probabilistic model of liquefaction-induced lateral displacements exceeding a pre-defined threshold. The probabilistic function was formulated from a regression analysis on case histories of liquefaction by employing probit modeling. The procedure for generating the liquefaction hazard map with this proposed model was demonstrated through a selected case study. The comparison between the predicted probability and the field measurements indicates that the model can provide reasonable prediction particularly in cases of large deformations. The displacementbased procedure is promising, providing probability map that highlights the regions where relatively large deformations have been observed.
Mathematical Model and Performance Evaluation for a Small Orbital Launcher

The purpose of this paper is to present some aspects regarding the computational model and simulation for three stage launch vehicle (LV) used to inject in orbit small size payload. The computational model consists in numerical simulation of LV evolution for imposed start conditions. The launcher model presented will be with six degrees of freedom (6DOF) and variable mass. The results analysed will be the flight parameters and ballistic performances. The discussions area will focus around the technical possibility to realize a small multi-stage launcher, end evaluate his performance using the developed model. From technical point of view, the paper is focused on ESA project “Study – concept, to achieve a Small Orbital Launcher through zonal cooperation - SOL
Use of Comics to Enhance Students' Japanese Ability as Well as to Awake their Hidden Potential

In the period of renewal and international integration like today, knowing another language is a very necessary thing. Therefore, the demand for and the number of language learners is increasing, Japanese is not an exception. Therefore, more and more people are approaching Japanese culture through many forms including Manga reading. Manga (Japanese comic) has been introduced to our country since the 90s and has left a deep impression on the comic market in our country. Manga for a long time has been an indispensable "dish" in the daily spiritual life of many people. Not only for entertainment properties only but manga also bring a greater meaning than that. This is also one of the forms of promoting Japanese culture to the world. In addition to the above, manga is also an interesting way to learn Japanese. Especially, it makes it easier for Japanese learners to memorize words, absorb Japanese culture, and use words. In this article, we will answer the reasons why reading manga in learning Japanese will show the benefits and limitations of too abusing manga to absorb Japanese.
Capturing Upper Body Kinematics and Localization with Low-Cost Sensors for Rehabilitation Applications

For upper extremity rehabilitation, quantitative measurements of a person’s capabilities during activities of daily living could provide useful information for therapists, including in telemedicine scenarios. Specifically, measurements of a person’s upper body kinematics could give information about which arm motions or movement features are in need of additional therapy, and their location within the home could give context to these motions. To that end, we present a new algorithm for identifying a person’s location in a region of interest based on a Bluetooth received signal strength (RSS) and present an experimental evaluation of this and a different Bluetooth RSS-based localization algorithm via fingerprinting. We further present algorithms for and experimental results of inferring the complete upper body kinematics based on three standalone inertial measurement unit (IMU) sensors mounted on the wrists and pelvis. Our experimental results for localization find the target location with a mean square error of 1.78 m. Our kinematics reconstruction algorithms gave lower errors with the pelvis sensor mounted on the person’s back and with individual calibrations for each test. With three standalone IMUs, the mean angular error for all of the upper body segment orientations was close to 21 degrees, and the estimated elbow and shoulder angles had mean errors of less than 4 degrees.
Association of Social Anxiety Disorder and Self-Esteem among Young Adults – A Single Centre Study

Social anxiety disorder is a serious mental health issue in India which often goes undiagnosed and undertreated [3]. In addition, studies have shown social anxiety disorder to have an inverse relation to self-esteem [13]. The aim of the study is to evaluate the association between social anxiety disorder and low self-esteem among young adults. The research is a cross sectional descriptive study among the medical undergraduates. Among the participants suffering from social anxiety disorder many of the individuals had social phobia while a few had traditional social anxiety as well. As a result the prevalence of low self-esteem in the study group has a direct association with social anxiety disorder and shows statistically significant data. Thus, an effective way to deal with this condition would be to spread awareness and establish an active student support system and guidance team on campus.
Activated Carbon Preparation from Sugarcane Leaf via a Low Temperature Hydrothermal Process for Aquaponic Treatment

The effects of hydrothermal treatment, 0–5% KMnO4 content, and 300–400 °C pyrolysis temperature, were studied for activated carbon preparation from sugar cane leaves in comparison with non-hydrothermal treatment. The percent yield of activated carbon prepared by the hydrothermal method (20.33–36.23%) was higher than that prepared by the non-hydrothermal method (16.40–36.50%) and was higher with conditions employing the same content of KMnO4 (22.08–42.14%). The hydrothermal and pyrolysis temperatures have the effect of increasing the carbon content and aromatic nature of the synthesized activated carbons. In addition, KMnO4 utilization increased the O/C ratio and the content of C-O, Mn-OH, O-Mn-O, and Mn-O surface functional groups. KMnO4 also decreases zeta potential values throughout the pH range of 3 to 11 and the surface area and porosity of the pre-hydrothermal activated carbons. The use of the pre-hydrothermal activated carbon prepared with 3% KMnO4 and pyrolyzed at 350 °C as a filter in an aquaponic system could improve the quality of water with pH of 7.2–7.4, DO of 9.6–13.3 mg/L, and the turbidity of 2.35–2.90 NTU. It could also reduce the content of ammonia, nitrite, and phosphate with relative removal rates of 86.84%, 73.17%, and 53.33%, respectively. These results promoted a good growth of catfish and red oak lettuce.
Optimisation Of Length Of Transition Curves WithVehicle Reaction Taken Into Consideration

While the alignment of new railways should be designed to meet future demands, an unnecessarily high standard may make a project too expensive and may cause an undesirable impact on the environment. Hence, the alignment should be optimised with great care when building new lines. In this study, equally costly alignment alternatives are compared. The cost is assumed to be correlated to the extent to which existing obstacles along a new alignment must be removed. With this approach, longer transition curves require smaller curve radii.