Miracle-dz/UniFAR-FTUs huggingface dataset:
THE IMPACT OF INTRADAY MOMENTUM ON STOCK RETURNS: EVIDENCE FROM S&P500 AND CSI300

This paper analyzes the statistical impact of COVID-19 on the S&P500 and the CSI300 intraday momentum. This study employs an empirical method, that is, the intraday momentum method used in this research. Also, the predictability of timing conditional strategies is also used here to predict the intraday momentum of stock returns. In addition, this study aims to estimate and forecast the coefficients in the stock market pandemic crisis through a robust standard error approach. The empirical findings indicate that the intraday market behavior an unusual balanced; the volatility and trading volume imbalance and the return trends are losing overwhelmingly. The consequence is that the first half-hour return will forecast the last half-hour return of the S&P500, but during the pandemic shock, the last half-hour of both stock markets will not have a significant impact on intraday momentum. Additionally, market timing strategy analysis is a significant factor in the stock market because it shows the perfect trading time, decides investment opportunities and which stocks will perform well on this day. Besides, we also found that when the volatility and volume of the S&P500 are both at a high level, the first half-hour has been a positive impact, while at the low level, the CSI300 has a negative impact on the last half-hour. In addition, this shows that the optimistic effect and positive outlook of the stockholders for the S&P500 is in the first half-hours after weekend on Monday morning because market open during the weekend holiday, and the mentality of every stockholder’s indicate the positive impression of the stock market.
Polyimide composite films reinforced by graphene quantum dots

Abstract Polyimide composite films have been widely used in some advanced field of microelectronic devices, precision instruments and national defense applications. Graphene quantum dots have great application potential in polymer doping modification because of their good mechanical strength, high specific surface area and excellent tunability of physical and chemical properties. In this paper, Graphene quantum dots are prepared by pyrolysis at different temperatures. The results show that different reaction temperatures have a great influence on the size and size distribution of graphene quantum dots. When the pyrolysis temperature is 200 °C, the size of graphene quantum dots is uniform at 3–5 nm. Graphene quantum dots-polyimide nanocomposite films prepared by in-situ polymerization show excellent mechanical properties. When the doping amount of graphene quantum dots is 0.5 wt%, the tensile strength and elastic modulus of the composite films can reach 130.24 MPa and 2.93 GPa respectively, which are 41.3% and 108% higher than that of pure polyimide films, respectively. Moreover, the thermal stability of polyimide composite films increases with the increase of the doping amount of graphene quantum dots. This shows that graphene quantum dots have good dispersion in polyimide matrix and can effectively improve the interface of composites. These results provide a successful preparation method to help guide to fabricate graphene quantum dots-polyimide composite films with high performance for the advanced applications.
Optimizing Multidam Releases in Large River Basins by Combining Distributed Hydrological Inflow Predictions with Rolling-Horizon Decision Making

AbstractFor the purpose of real-time dam operation in large river basins, an integrated simulation and optimization system (ISOS) has been constructed by combining distributed hydrological inflow predictions with rolling horizon decision making. First, with operational quantitative precipitation forecasts (QPFs) over a forecast horizon (FH), the ISOS is applied to obtain an optimal rule for dam releases; second, with the corrected satellite precipitation, the prescribed rule is employed for the reservoir operation over a decision horizon (DH). The ISOS is applied to the Red River Basin (169,000 km2), to test its performance for optimizing multidam releases in the large river basin. Results show that by using the ISOS, two things were simultaneously achieved, reducing the water level at Hanoi to avoid flooding while raising water storage in Hoa Binh reservoir at the end of flood season for better hydropower generation. Through comparing reservoir performances with different FHs, the effective forecast hor.
USING INPUT-OUTPUT (I-O) ANALYSIS IN EVALUATING CONSERVATION PROGRAMS AND PROJECTS: LESSONS LEARNED FROM EVALUATION OF THE CONSERVATION RESERVE PROGRAM (CRP)

This paper describes the use of input-output modeling in estimating the economic impacts of the conservation reserve program (CRP) in North Dakota, discusses challenges faced in conducting the analysis, and examines lessons learned from the study. The study had two major phases: (1) a statewide survey of CRP participants was conducted to determine selected characteristics of those individuals and their enrolled land that would be important for subsequent impact estimation and (2) a regional input-output model was used to estimate the indirect effects of the CRP program for each of the state's five pool groups. The results of this analysis indicated that the impacts of the Conservation Reserve Program on the North Dakota economy were relatively modest. Based on the 1.3 million acres removed from production through the fifth sign-up, total business activity was reduced by only 0.54 percent statewide and 0.91 percent for the most affected region. However, it should be noted that the impacts were not distributed uniformly among sectors or communities.
Early Cost Estimating of Road Tunnel Construction Using Neural Networks

AbstractRoad tunnel construction is subject to underground uncertainties and risks, and as such it is difficult to predict the final construction cost, especially at the conception phase where issues are evaluated and important design decisions are made. A system assisting in the early cost estimation of road tunnels would therefore be of great value as it would allow the quick costing of alternative and more economical solutions. The development of such an early cost estimation system is discussed in this paper. First, the basic parameters (geological, geometrical, and work quantities-related) affecting temporary and permanent support and final construction cost are determined. After that, appropriate real-world data derived from the analysis of 33 twin tunnels of 46 km total length constructed for the Egnatia Motorway in northern Greece from 1998 to 2004 and related to work quantities is collected and normalized. Appropriate price lists are then applied to calculate the costs; subsequently, cost-estimat.
Transformer monitoring using the UHF technique

The viability of applying UHF partial discharge monitoring techniques to an in-service oil-filled power transformer is established. Discharges in oil are shown to radiate the high frequency signals necessary to allow detection. On-site pulse injection is used to test the operation of a UHF coupler fitted to the transformer. The effects of on-load tap changing operations are also investigated.
Platamopsis valdivianus, nuevo género y especie de Salpinginae (Coleoptera: Salpingidae) de Chile

Basado en material recolectado en la zona del bosque templado lluvioso del sur de Chile, se describe un nuevo género y especie de Salpingidae. Se presentan imágenes del adulto de la especie y de aspectos morfológicos que incluyen cabeza, tórax, abdomen, piezas bucales, alas y edeago. Se destacan sus caracteres diagnósticos y se establecen diferencias y parecido con el género Platamops de la región tropical de América del Sur.
Coal Pulverizer Monitoring and Analysis: A Case Study

This paper describes a case study of coal pulverizer monitoring and analysis. It represents the partial work of a project called “Mill Advisor” which investigated the common operational and maintenance problems of the coal pulverizer. Combining vibration monitoring and operational parameters such as flow rate, pressure drop and temperature measurement as well as grinding process modeling, this project intends to develop a system which closely monitors the operating condition of the pulverizer online, extracts the operational and maintenance knowledge, estimates the health condition of the equipment, and schedules maintenance based on the operation condition of the pulverizer and power generation demand. Specifically, this case study covers the following topics: 1)coal mill operational and maintenance problem identification; 2)sensing and data acquisition system design and implementation; 3)mill roller wear modeling and life span estimation; and 4)mill health indicator or availability proposition. On-site tests were conducted on a CE843RS pulverizer in a power plant.Copyright © 2006 by ASME
Direct Torque Control of PM Brushless AC Motors Having Non-sinusoidal Back-emf Waveforms

This paper describes the application of direct torque control (DTC) to a PM brushless AC machine whose back-emf waveform is non-sinusoidal, and compares its performance with that which is achieved when the back-emf waveform is assumed to be sinusoidal. It also demonstrates the utility of employing a sliding mode observer to estimate the back-emf waveform, and, thereby, to calculate the instantaneous electromagnetic torque and to minimise torque ripple. The effectiveness of this approach is validated by both simulations and measurements.
A 48 V output DC-to-DC resonant converter suitable for telecommunication applications

A modified series-parallel high-frequency resonant DC/DC power converter configuration suitable for 48 V output is proposed. A simplified steady-state analysis using complex circuit analysis is presented. Based on the analysis, a simple design procedure is given. Detailed experimental results obtained from a MOSFET-based 1 kW converter are presented to verify the analysis. The converter presented has almost constant efficiency from full load to quarter load. The variation in switching frequency required to regulate the output voltage constant is narrow, and the converter has load short-circuit capability. <<ETX>>
Control of cascaded multi-level inverters

A new type of multi-level inverter is introduced which is created by cascading two three-phase three-level inverters using the load connection. This new inverter can operate as a nine-level inverter and naturally splits the power conversion into a higher voltage lower-frequency inverter and a lower-voltage higher frequency inverter. This type of system presents particular advantages to naval ship propulsion systems which rely on high power quality, survivable drives. New control methods are described involving both joint and separate control of the individual three-level inverters. Simulation results demonstrate the effectiveness of both controls. A laboratory set-up at the Naval Surface Warfare Center power electronics laboratory was used to validate the proposed joint-inverter control. Due to the effect of compounding levels in the cascaded inverter, a high number of levels are available resulting in a voltage THD of 9 % (without filtering).
Summary of the ASK14 Ground Motion Relation for Active Crustal Regions

Empirical ground motion models for the average horizontal component from shallow crustal earthquakes in active tectonic regions are derived using the PEER NGA-West2 database. The model is applicable to magnitudes 3.0–8.5, distances 0–300 km, and spectral periods of 0–10 s. The model input parameters are the same as those used by Abrahamson and Silva (2008), with the following exceptions: the loading level for nonlinear effects is based on the spectral acceleration at the period of interest rather than the PGA; and the distance scaling for hanging wall (HW) effects off the ends of the rupture includes a dependence on the source-to-site azimuth. Regional differences in large-distance attenuation and VS30 scaling between California, Japan, China, and Taiwan are included. The scaling for the HW effect is improved using constraints from numerical simulations. The standard deviation is magnitude-dependent, with smaller magnitudes leading to larger standard deviations at short periods, but smaller standard deviations at long periods. Directivity effects are not included through explicit parameters, but are captured through the variability of the empirical data.
Herbal Products Used in Menopause and for Gynecological Disorders

Herbal products are often used as an alternative to pharmacological therapy. Menopausal symptoms and gynecological disorders (such as premenstrual syndrome and dysmenorrhea) are the indications where pharmacological therapy may have serious adverse events, hence many women prefer to use herbal products to help with these symptoms. Here, we reviewed plants and derived products, which are commonly used for the abovementioned indications, focusing on clinical data, safely profile and whether or not their use is justified. We noted that limited data are available on the use of some plants for alleviating the symptoms of menopause and gynecological disorders. While black cohosh (Cimicifuga racemose) and red clover (Trifolium pretense) were consistently shown to help reduce menopausal symptoms in clinical studies, currently available data do not fully support the use of fenugreek (Trigonella foenum-graecum), hops (Humulus lupulus), valerian (Valeriana officinalis), and soybean (Glycine max and Glycine soja) for this indication. For premenstrual syndrome and premenstrual dysphoric disorder, chaste tree (Vitex agnus-castus) shows effectiveness, but more clinical studies are needed to confirm such effect upon the use of evening primrose (Oenothera biennis).
Induction Drive Motor's Fault Diagnosis Research with Application

A number of induction machine is widely used in people's daily life and agriculture manufacture, and the chance to meet all kinds of breakdown is large. Electrical machine's breakdown not only damage electrical machine itself ，but also make electrical machine suddenly break down and product line breakdown, result in great economy's loss and fatal result. So, research on electrical machine's fault diagnosis' technology, Possess significant theory's meaning and society economic benefit. Texts according to induction drive motor's common breakdown's feature, Directing to the past research settle electrical machine's breakdown's means's fault , Bring up base on improve the smallest two ride stand by vector machine (LS- SVM) de induction drive motor's fault diagnosis' means. Adopt muddleheaded optimization algorithm, Seek come out possess compare strong popularize ability de parameter. Combine induction machine's structural parameter with performance export model de build mold example, with cross validation techniques to compare confirm research means be used for motor fault diagnosis de validity.
Principal Candidates’ Reflective Learning During a Full-Time Internship

In this case study, we explore how principal candidates made sense of their internship by analyzing their weekly reflections during a school year. We found that candidates’ views of leadership developed from viewing leadership solely through the lens of making decisions and providing direction, to recognizing that much of the work of a school leader came from building relationships and delegating leadership responsibilities. Candidates’ experiences managing student discipline, conducting classroom walkthroughs and teacher evaluations, and leading professional development and professional learning communities (PLCs) were especially developmental. We conclude with implications for preservice training programs and future research.
Tasking Students With Empathy: Field Observations, COVID-19, and Assessing an Anthropological Sensibility

In 2019 and 2020 students in an Australian university conducted a short ethnographic exercise, a ‘journal’, with an attunement to the multiplicity of meanings evident in a single space by a range of interlocutors. We emphasised and assessed ‘empathy’ as a short-hand for the kind of anthropological sensibility we hoped to encourage. By requesting an account that represented an awareness of how ‘others’ encounter and come to ‘know’ the world we promoted their adoption of a modality which is central to the discipline. We wanted them to describe the world—the terrain, the stuff of their surroundings—based on their observations of how these others behaved. To couch it in anthropological terms, we wanted them to be attuned to a multiplicity of ‘taskscapes’, Ingold’s term for the mutual constitution of people and places through culturally politically, economically, and spiritually informed actions (‘tasks’) (Ingold, 1993). These ‘taskscapes’ were illustrated through the work of McKee (2016), whose account of multiple simultaneous experiences in the Negev desert by those living in (variously labelled) Israel/Palestine, represented an unexperienced domain for most of the Australian students. Rather than reinforcing the dated notion that anthropology is something that is done ‘elsewhere’, by asking students to focus on anthropology ‘at home’ they embodied their understanding of a transferable concept—introduced via an ‘exotic’ example—through a locally embedded experience. This paper describes the delivery of this assignment in 2019 and 2020 and explores in detail the content of five student journals and their evidence of the targeted learning.
Optimal Operating Strategies and Management for Smart Microgrid Systems

AbstractSmart microgrid systems are distributed energy production systems intended to increase local renewable energy use and power supply reliability and lower transmission loss and carbon dioxide emissions. Optimal energy management operation strategies are essential to smart microgrid systems. This research formulates an optimization model for smart microgrid systems and establishes optimal operating strategies. The operating framework was tested on a smart microgrid system currently being developed at the Institute of Nuclear Energy Research, Taiwan. The smart microgrid system is equipped with energy storage devices (batteries) as well as photovoltaic and wind power generation systems. Sensitivity analyses of electricity demand growth and storage device investment were conducted for the smart microgrid model. The results show that optimal battery investment should be determined based on battery efficiency, power supply, load, and the rate of load change.
Supplementary Benefits from Partial Vehicle Automation in an Ecoapproach and Departure Application at Signalized Intersections

One of the objectives of the U.S. Department of Transportation's connected vehicle (CV) research program is to develop innovative applications that take advantage of communications between vehicles and roadside infrastructure as well as between the vehicles themselves to improve safety, mobility, and the environmental performance of multimodal transportation systems. Many of the energy- and environment-focused CV applications involve the prescription of optimal speed profiles for vehicles that travel within the transportation network. These recommended speed profiles can then be provided to the drivers through human–machine interfaces (HMIs). However, the drivers may not be able to follow the recommended speed profiles closely. In that case, the effectiveness of the applications might be degraded. These HMIs may even be distracting and detrimental to safety. Partial vehicle automation can be used to follow a recommended speed profile and play an important role to ensure that the benefits of these CV applications are realized fully. This paper presents an evaluation of the supplementary benefits from partial vehicle automation in CV applications with the use of an ecoapproach and departure application at signalized inter sections in a case study. This application provides recommended speeds for vehicles as they approach and travel through a signalized intersection so that they pass through the intersection on green or decelerate to a stop in the most ecofriendly manner. The evaluation was based on real-world HMI manual driving data and in simulated partial automation data. The results showed different levels of supplementary benefits, which depended on the ability of the drivers to follow the recommended speeds, compared with the actual target speed profiles that would have been achieved through partial vehicle automation.
Effect of Optimum Autofrettage on Pressure Limits of Thick-Walled Cylinder

In optimal design of thick-walled cylinders, there are two main objectives to be achieved: increasing its strength-weight ratio and extending its fatigue life. This can be achieved by autofrettage where a residual stress field is generated in the cylinder wall prior to use. An analytical autofrettage procedure of a thick-walled cylinder is proposed, with the aim of predicting the required autofrettage pressure for various levels of allowable pressure and hence achieving maximum fatigue life. A Finite Element Method (FEM) validation is provided. The results reveal three scenarios in the design of thick-walled cylinders. For maximum load carrying capacity, non-autofrettage is suitable when, in service, the whole wall thickness will be yielded. Full autofrettage is suitable when, during subsequent operation, yielding is limited at the inner surface. Optimum autofrettage of the cylinder is suitable if a minimum equivalent stress and maximum fatigue life are to be achieved. The analytical solutions compared satisfactorily to the numerical results where a very good correlation in form and magnitude was obtained.
Evaluating the Medicinal Uses of Cannabis

Cannabis is the most frequently used illicit psychoactive substance in the world. Though it was long considered to be a soft drug, studies have proven the harmful psychiatric and addictive effects associated with its use. A number of elements are responsible for the increased complications of cannabis use, including the increase in the potency of cannabis and an evolution in the ratio between the two primary components, Δ9tetrahydrocannabinol (Δ9-THC) and cannabidiol. Synthetic cannabinoid (SC) use has rapidly progressed over the last few years, primarily among frequent cannabis users, because SCs provide similar psychoactive effects to cannabis. Cannabis does have therapeutic properties for certain indications. The use of the cannabis plant (Cannabis sativa L.) for the palliative treatment of cancer patients has been legalized in multiple jurisdictions including Israel. Its use for medicinal, ritual or recreational purposes results from the actions of cannabinoids in the cannabis plant. These therapeutic applications pertain only to certain cannabinoids and their synthetic derivatives. These compounds also produce the unintended adverse consequences of cannabis.
The virtual surgeon [virtual reality trainer]

Rapid improvements in computing power have opened the way for desktop virtual reality trainers that incorporate realistic graphics and, in some cases, the sense of touch. Affordable commercial simulators, for instance, are now available for practising such tasks as threading flexible endoscopes down a virtual patient's throat or manipulating the long surgical instruments used in laparoscopy. Companies and universities are also developing systems that simulate more complex procedures, such as suturing tissue and inserting a catheter into a vein using laparoscopic tools. These VR trainers can be adjusted to the user, to pinpoint areas of weakness, and they can be used at any time, without the need for supervision. What's more, they prepare the student psychologically for surgical tasks, because complications can be simulated in a safe manner. They can also give objective scores of a student's ability. Indeed, studies show that computer based training simulations are at least as good as standard training methods.