Miracle-dz/UniFAR-FTUs huggingface dataset:
MODELING AND FORECASTING STOCK FUTURES PRICES VOLATILITY THROUGH LINEAR AND NONLINEAR MODELS

Volatility is the extent to which the return on an underlying asset fluctuates over a given period of time. It is most commonly calculated as the annualized standard deviation of returns and represents the risk associated with that particular asset. Historically, financial price series have shown great variation in volatility over time. Furthermore, there is significant evidence of volatility “clumping”. This means that periods of high volatility tended to occur together, as do periods of low volatility. As volatility represents risk, the phenomenon of clumping is very relevant to market participants. This is because volatility is a key component of many financial decisions, asset pricing, risk management, portfolio selection and hedging strategies Jondeau and Rockinger (2003).
Explaining the Fiscal Theory of Price Level Determination and Its Empirical Plausibility for Taiwan

This paper illustrates the propositions of the fiscal theory of the price level (FTPL) using a simple dynamic framework. The FTPL argues that in a Ricardian policy regime, the price level is determined by the monetary variables. In a non-Ricardian policy regime, the government’s solvency constraint provides an additional restriction that helps pin down the price level. This paper begins with the main propositions of the FTPL. These include the price level determinacy under an interest rate rule, the observational equivalence between the Ricardian and the non-Ricardian policy regime, the ineffectiveness of monetary policy on price control under specific fiscal rule, and the tight money paradox by which an aggressive interest rate rule can lead to explosive inflation. We then discuss the critiques of the theory, such as the fragility of the theory and the over-determination of price level. The last part examines whether Taiwan is in a Ricardian or a non-Ricardian policy regime. 0446H: 2005/05/27 11:08AM page:243 Explaining the Fiscal Theory of Price Level Determination (Tai-kuang Ho)
Perceiving the Value of the Company in Managing Business Risks

Seen as a reflection of the clear vision of some extreme leaders, the overall performance of the entity is achieved today against the backdrop of the innovation process. The value of the company is necessary to become the key element in any entity development strategy. However, it requires a comparative analysis of the entity with other market players or emerging markets. This chapter analyzes the new research directions at the intersection between accounting and management, with the role of potentiating the important valorization of managerial culture and the implementation of an integrated system of performance indicators to accurately determine the value of a company.
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models

A major driver in the success of predictive machine learning has been the “common task framework,” where community-wide benchmarks are shared for evaluating new algorithms. This pattern, however, is difficult to implement for causal learning tasks because the ground truth in these tasks is in general unobservable. Instead, causal inference methods are often evaluated on synthetic or semi-synthetic datasets that incorporate idiosyncratic assumptions about the underlying data-generating process. These evaluations are often proposed in conjunction with new causal inference methods—as a result, many methods are evaluated on incomparable benchmarks. To address this issue, we establish an API for generalized causal inference model assessment, with the goal of developing a platform that lets researchers deploy and evaluate new model classes in instances where treatments are explicitly known. The API uses a common interface for each of its components, and it allows for new methods and datasets to be evaluated and saved for future benchmarking.
Work Productivity and Activity Impairment Questionnaire ( WPAI ) + Classroom Impairment Questions ( CIQ ) : Hemophilia Specific ( HS ) :

and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). Patient Preference and Adherence 2019:13 233–240 Patient Preference and Adherence
Data Mining Technology as the Core of the Intelligent Prefetching Web Application Analysis

With the further development of in Internet, the rapid growth of users led to network congestion and server overload. Caching technology is considered to be one of the effective ways to reduce server load, reduce network congestion, and reduce customer access latency, but has limited role. To further improve the performance of the cache system, the introduction of prefetching technology. The data mining technology combines the knowledge of databases, artificial intelligence and statistics. This paper takes the data mining technology as the core to study the intelligent Web prefetching technology, and plays an important role in the future data mining in the accurate retrieval of information, personalized service, improve the design and service of the portal site, and build the intelligent Web site. Data Mining Technology Data mining is a process that uses various analysis tools to discover the relationship between models and data in massive amounts of data that can be used to predict. Data mining involves a variety of technologies such as databases, artificial intelligence, machine learning, and statistical analysis. Data mining technology can automatically analyze data from large databases or data warehouses, conduct inductive reasoning, discover potential patterns from them, or create associations, build new business models, help decision makers adjust their marketing strategies, and make the right decisions [1]. Data mining shows that knowledge is hidden in the vast amount of data accumulated in the day, and only by complex algorithms and reasoning can not find knowledge. At the same time, the idea of data mining also points out a new research direction for the development of artificial intelligence. Data mining refers to a complete process that draws previously unknown, effective, and useful information from large databases and uses them to make decisions or enrich knowledge. A typical data mining system structure shown in Fig. 1. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Copyright © 2017, the Authors. Published by Atlantis Press. 263 Advances in Computer Science Research (ACSR), volume 76 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Recent Advance in Genome Editing-Based Gene Modification in Pigs

Recently, a series of genome editing technologies including ZFNs, TALENs, and CRISPR/Cas9 systems have enabled gene modification in the endogenous target genes of various organisms including pigs, which are important for agricultural and biomedical research. Owing to its simple application for gene knockout and ease of use, the CRISPR/Cas9 is now in common use worldwide. The most important aspect of this process is the selection of the method used to deliver genome editing components to embryos. In earlier stages, zygote microinjection of these components [single guide RNA (sgRNA) + DNA/mRNA for Cas9] into the cytoplasm and/ or nuclei of a zygote has been frequently employed. However, this method is always associated with the generation of mosaic embryos in which genome-edited and unedited cells are mixed together. To avoid this mosaic issue, in vitro electroporation of zygotes in the presence of sgRNA mixed with Cas9 protein, referred to as a ribonucleoprotein (RNP), is now in frequent use. This review provides a historical background of the production of genome-edited pigs and also presents current research concerning how genome editing is induced in somatic cell nuclear transfer-derived embryos that have been reconstituted with normal nuclei.
On "Methodological Irregularities in Programming Language Research"

Stefik and Hanenberg recently published an opinion piece on “methodological irregularities in programming-language research” [1] in IEEE Computer. They criticize programming language (PL) design conferences such as PLDI, OOPSLA, ICFP, and ECOOP for a lack of “rigorous evidence standards like those in other sciences”—standards such as randomized controlled trials for evaluating the effectiveness of an intervention. They conclude by calling for the imposition of strict reporting standards in software engineering conference and journals, like the Consolidated Standards of Reporting Trials (CONSORT) statement [2] in medicine and the What Works Clearinghouse (WWC) guidelines [3] in education. Stefik and Hanenberg’s recommendations are reasonable, for a certain class of software engineering research—specifically, for research aiming to show that a given intervention, such as the adoption of a particular language or technique, has certain economic or pedagogical benefits. Randomized controlled trials are the gold standard of evidence for this kind of claim, and repeatability requires careful attention to sample size and selection, control of confounding factors, and so on. Robust empirical claims require robust empirical evidence. However, it is narrow-minded to expect all PL research to follow this empirical pattern. Not all scientific claims concern the effectiveness of an intervention on human subjects, and so not all papers are suitable targets for standards such as CONSORT and WWC. In particular, it is perverse to criticize conferences such as ICFP for a “lack [of] empirical foundation”, when the papers published there mostly do not make empirical claims. One might as well criticize Einstein [4], Turing [5], and Watson and Crick [6] for “methodological irregularities”. There is much more to PL research than empirical claims of the kind that Stefik and Hanenberg have in mind—for example, mathematical semantics of language features, verification and proof of correctness, type systems to allow the formal statement and certain properties of programs, static and dynamic analysis to check those properties, systems building and engineering design, compiler and performance optimizations, implementation techniques, and so on. For a longer discussion, see for example the PL Enthusiast blog post [7].
Speech-based Estimation of Bulbar Regression in Amyotrophic Lateral Sclerosis

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurological disease that leads to degeneration of motor neurons and, as a result, inhibits the ability of the brain to control muscle movements. Monitoring the progression of ALS is of fundamental importance due to the wide variability in disease outlook that exists across patients. This progression is typically tracked using the ALS functional rating scale - revised (ALSFRS-R), which is the current clinical assessment of a patient’s level of functional impairment including speech and other motor tasks. In this paper, we investigated automatic estimation of the ALSFRS-R bulbar subscore from acoustic and articulatory movement samples. Experimental results demonstrated the AFSFRS-R bulbar subscore can be predicted from speech samples, which has clinical implication for automatic monitoring of the disease progression of ALS using speech information.
5 Sperm Biology from Production to Ejaculation

The male reproductive system is a complex and intricate system that produces spermatozoa or sex cells to carry the genetic material of the male. The components of the male reproductive system include the hypothalamic–pituitary– gonadal (HPG) axis, and both the external and internal sexual organs. The male reproductive system forms during the early stages of embryonic development, becomes fertile during puberty and maintains the masculinity of the adult male. The external genitalia include the scrotum, testes, and penis whereas the internal genitalia include the epididymis, seminal ducts, spermatic cords, seminal vesicles, ejaculatory ducts, bulbourethral or Cowper’s glands, and the prostate gland. The testes produce the male gametes (spermatozoa). The excurrent duct system matures, stores, and transports the gametes to the penis for expulsion, and the accessory glands produce and modify the contents of the semen.
Comparison of energetic spanwise modes in a boundary layer and channel by

The spanwise organization and energy contribution of motions in a Reθ = 1015 flat-plate turbulent boundary layer are investigated using PIV in the streamwise-spanwise plane. Measurements are performed at several heights: y = 21, 46, and 92 (y/δ = 0.05, 0.11, and 0.22). Dual cameras mounted side-by-side obtain a wide field of view in the spanwise direction, capturing nearly 1100 viscous units (2.55δ). Twodimensional Fourier analysis is used to estimate the energy distribution of the streamwise component as a function of distance from the wall. The results (Reτ = uτδ/ν = 426, based on boundary layer thickness) are compared with the channel flow data of Liu et al. (2000) (Reτ = uτh/ν = 400, where h is channel halfheight) at a comparable wall-normal location. Liu et al. showed the well-established streak spacing mode of λz + = 100 contains surprisingly little energy relative to modes in the range λz + = 200-400. A principal objective of the present work is to determine if this result is universal for wall-bounded flows. The boundary layer results show strong agreement with the channel in terms of the spanwise energy contribution of the small scales near the wall: over 75% of the energy is in scales larger than λz + = 100. The spanwise energy distribution of the smaller streamwise scales also shows excellent agreement. However, differences in the spanwise energy distribution between the boundary layer and channel flow appear in the large streamwise modes. As a result, the spanwise energy distribution at y ≈ 21 is not universal for all scales.
Experiment Setup Smart Device BA Box CSL Content Server 3 HK CMHK SmarTone Smart Device BA Box CSL Proxy Server 3 HK CMHK SmarTone Content Server

4G/3G networks have been widely deployed around the world to provide high wireless bandwidth for mobile users. However, the achievable 3G/4G bandwidth is still much lower than their theoretic maximum. Signal strengths and available backhaul capacities may vary significantly at different locations and times, often leading to unsatisfactory performance. Bandwidth aggregation, which uses multiple interfaces concurrently for data transfer, is a readily deployable solution. Specifically, Multi-Path TCP (MPTCP) has been advocated as a promising approach for leveraging multiple source-destination paths simultaneously in the transport layer. In this paper, we investigate the efficiency of an MPTCP-based bandwidth aggregation framework based on extensive measurements. In particular, we evaluate the gain for bandwidth aggregation across up to 4 cellular operators’ networks, with respect to factors such as time, user location, data size, aggregation proxy location and congestion control algorithm. Our measurement studies reveal that (1) bandwidth aggregation in general improves the cellular network bandwidth experienced by mobile users, but the performance gain is significant only for bandwidth-intensive delay-tolerant flows; (2) the effectiveness of aggregation depends on many network factors, including QoS of individual cellular interfaces and the location of aggregation proxy; (3) contextual factors, including the time of day and the mobility of a user, also affect the aggregation performance.
A Design Pattern for Connection Management in Herarchical Dynamic Virtual Private Networks

In this paper we address the architecture of an efficient connection manager in hierarchical dynamic virtual private networks (HDVPN). HDVPNs encapsulate the delivery over a WAN of concurrent multicast sessions with security and QoS guarantees. Their main feature is a high degree of change in terms of membership, implying the necessity for fast reconfiguration and provisioning. We propose a Management Configuration Component based on already proven design patterns in order to cope with the high dynamicity encountered. The more general framework is the management of residential user TV multicast, where an heterogeneous ATM/IP based network supports the delivery of TV content to all clients having subscribed to a HDVPN.
Bioprotectant with multifunctional microorganisms : A new dimension in plant protection

In the present investigations it is proved that the inoculation of multifunctional microbial formulation to the soil improves soil quality, soil health, plant health, growth, yield, and quality of a broad spectrum of crops reducing chemical fertilizer and pesticide input. These microbial populations consist of selected species including plant growth promoting rhizo-bacteria, N2-fixing bacteria, Phosphate solubilizers, phytohormone producers, plant disease suppressive bacteria and fungi. To make it very simple a different dimension as „Bio Protectant” is given in this presentation to the collective synergistic effects of beneficial microbes stimulating soil, plant and environmental health reducing chemical fertilizer and pesticide application. A healthy plant does not require unwanted, poisonous chemical pesticides. Review of literature is focused in multiple ways on the growth promoting ability along with the biological activity of beneficial microorganisms. The present SumaGrow-F2 formulation contains multi-functional Rhizobium species, Pseudomonas spp. , Bacillus, and Trichoderma spp. The recorded novel benefits of SumaGrow-F2 formulation in the Green House and Field are discussed here as microbes increasing plant health, soil health, and root health of a broad spectrum of crops. Not only can it eliminate almost all insect infestations and reduce fungal or bacterial infection, it also creates a healthier environment for plant growth. The result is healthy crops with a corresponding increase in the yield of fruits or vegetables or grains. Modern trend is to look for inspiring intelligent multi-functional microbial Plant protectant or bio protectant for sustainable agriculture.
Service-Based Decomposition of 3 D Geovisualization Systems

In this contribution, we outline and discuss a service-oriented architecture for systems that visualize geovirtual 3D models (e.g., virtual 3D city models and landscape models) on lightweight clients. The approach is motivated by the growing demand for scalable, client-server based geovisualization systems and increasingly complex, massive 3D models. For this purpose, we have developed a 3D server responsible for 3D rendering of G-buffer cube maps, and a corresponding light-weight 3D client that visualizes these G-buffer cube maps, controls their streaming, and handles 3D interaction. The approach provides a solution to the bandwidth-limited streaming of complex, massive geovirtual 3D models because it decouples streaming data complexity from model complexity. We briefly discuss a collection of service building blocks for stylizing and rendering effects, which can be composed within a data flow graph to implement application-specific 3D geovisualization techniques. The approach facilitates development, deployment, and scaling of 3D geovisualization systems within service-oriented infrastructures.
Examining Financial and Non-Financial Indicators for Predicting Private Higher Education Viability

Administrators of private colleges rely on the ability of financial indicators to assess financial viability. Numerous tools exist to help analyze an institution’s unique financial condition; however, many administrators lack the resources or the time to decipher all the data. To narrow the process, financial and non-financial ratios allow administrators to focus on those measures considered critical to the institution. Unfortunately, determining a unique set comparable across peer institutions can be a challenging task. A total of 766 private colleges and universities listed by Moody’s Municipal Financial Ratio Database, Guidestar.org and the Integrated Postsecondary Educational Database (IPEDS) were used in the study. The Consolidated Financial Index (CFI®) developed by KPMG LLP, Prager, Sealy & Co., LLC, and Bearing Point, Inc. was then utilized to classify institutions as either financially strong or weak. Logistic regression was then used to analyze whether student demographics, demand, capitalization, capital spending, endowments, college affordability, revenue contribution and tuition subsidy ratios discriminated between the two CFI classifications, strong or weak. The results revealed that several ratios provide discriminating capabilities including capitalization rates, capital spending, endowments, tuition subsidies and revenue contribution ratios.
Associations of uterine pathology with milk production and effects of treatment with a non-steroidal anti-inflammatory drug in dairy cows

Subclinical endometritis (SCE) is a form of uterine pathology characterised by an increased proportion of polymorphonuclear cells (PMN) in the uterus post-calving. Previous studies demonstrated a negative association between SCE and lower milk production, with indications that systemic inflammation underlies this link. Accordingly, the hypothesis tested was that treatment with a non-steroidal antiinflammatory drug (NSAID) would increase milk yield in cows with ≥ 14% PMN at Day 14. In this study, ≥ 14% PMN in the cytological sample collected at Day 14 postpartum was defined as SCE. To test this hypothesis, 213 dairy cows were paired by calving date and Day 14 PMN %, then randomly assigned to three doses of a NSAID (Carprofen 1.4 mg/kg, n = 103) between 21 and 31 days postpartum or left as untreated controls (n = 108). The effect of the NSAID treatment on milk production was analysed using mixed models. While the results supported previous evidence of a negative association between SCE and milk production, NSAID had no effect on either PMN % at Day 42 or milk production (P > 0.1) in this study. The lack of a NSAID effect was possibly because SCE spontaneously resolved in more than 90% of the cases.
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition

In this paper, we propose Multilingual Meta-Embeddings (MME), an effective method to learn multilingual representations by leveraging monolingual pre-trained embeddings. MME learns to utilize information from these embeddings via a self-attention mechanism without explicit language identification. We evaluate the proposed embedding method on the code-switching English-Spanish Named Entity Recognition dataset in a multilingual and cross-lingual setting. The experimental results show that our proposed method achieves state-of-the-art performance on the multilingual setting, and it has the ability to generalize to an unseen language task.