Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic forecasting, optimization and real-time energy management of gridable vehicle – a review

— This paper investigates the concept of the new generation smart power grid that includes gridable vehicles and renewable energy sources. Here it is analyzed the feasibility of developing a real-time dynamic stochastic optimization approach that will result in a combined cost-emission reduction by the maximum utilization of clean energy sources. The concept in this paper is look at a gridable vehicle (GV) as a small portable power plant (SP3) and a smart parking lot (Smart Park) as a virtual power plant (VPP). After an extensive investigation of existing literature review, it is recommended that a dynamic stochastic optimization (DSO) approach can be used to automatically schedule and coordinate non-stationary sources to get full benefits of renewable energysources (RESs) such that (1) load demand can be leveled; (2) cost and emissionwill be reduced; (3) reserve and reliability of a smart grid can be increasedwhen millions of new loads, e.g., GVs, are to be integrated.
An Autoradiographic Study of Nucleic Acid and Protein Turnover in the Mammalian Neuraxis*

The turnover of nucleic acids and proteins in the central nervous system has been explored by autoradiography following the subarachnoid injection of tagged precursors. Nuclear PNA of neurons and oligodendrocytes becomes radioactive earlier than cytoplasmic PNA after injection of adenine-C 14 and orotic-C TM acid. By 24 hours following injection, cytoplasmic PNA is radioactive. Radioactivity persists with little decrease for as long as 51 days after an injection of adenine-C t4. The cells of the ependymal lining, choroidal plexus, leptomeninges, blood vessel walls, and Schwann cells also exhibit radioactivity in PNA as judged by the loss of radioactivity following ribonuclease digestion. From the 3rd day on, increasing numbers of the aforementioned cells, with the exception of nerve cells, exhibit ribonuclease-resistant nuclear radioactivity which is abolished by deoxyribonuclease. This radioactivity indicates labelling of nuclear DNA. Following the intrathecal injection of methionine-S ~5 and glycine-2-H 3, nerve cells, oligodendrocytes, cells of ependymal lining, choroidal plexus, leptomeninges, blood vessels, and Schwann cells become radioactive. Nerve cells lose most of their radioactivity within a few hours, first from the cytoplasm and later from the nucleus. Other cell types retain their radioactivity for considerable periods of time. Although astrocytes, microglia, and satellite cells of sensory ganglia do not appear to incorporate labelled precursors into nucleic acids or proteins, reacting phagocytic microglia actively take up labelled amino acids. These results are discussed with particular reference to PNA and protein turnover in nerve cells, oligodendrocytes, and Schwann cells. It is believed that these metabolic activities in neurons are concerned in part with the elaboration of axoplasmic proteins. The nucleoprotein metabolism of oligodendrocytes and Schwann cells may be related to myelin biosynthesis both in the immature and the mature nervous system. Pentose nucleic acid (PNA) is present in high concentration in the Nissl substance and nucleolus of nerve cells (4, 39), apparently as pentose nucleoprotein (27, 36). Special cytochemical techniques such as ultraviolet microspectrophotometry (23, 27), histophotometry of sections stained with basic dyes (15, 16), absorption historadiography (28, 48), and ultramicrochemical analysis of * Aided in part by a grant (Contract No. 11-1-(89)) from the United States Atomic Energy Commission. isolated neurons (14) have been employed in the investigation of this constituent. Neuronal content of pentose nucleoprotein has been studied in a number of physiological and pathological states (27, 28). While these methods have provided valuable quanti tat ive results, they do not give direct data concerning the turnover of nucleic acid and protein within neurons. Furthermore, glia and other cells in the nervous system generally have been ignored in such studies. The availability of labelled precursors makes
Classification of Node Localization Techniques in Wireless Sensor Networks

A bstract—Due to their wide applications, wireless sensor networks have attracted global research in medical care, smart homes, and environmental monitoring. These applications often expect knowledge of the exact location of nodes. Localization in sensor networks hence became an important problem. We have studied various methods in order to judiciously design a specific location solution. Given the specific characteristics of sensor networks, this solution should not be oversized; otherwise it increases the cost in terms of energy and computation which would make it impracticable. In this paper, the closest methods to our problem are studied and compared.
P143 A Combination of Seismic First Arrival Travel Time Inversion with and without Ray Tracing

In order to efficiently and effectively invert seismic first arrival travel times into near surface velocities, we propose a combined approach to solve the problem of first arrival travel time inversion. Firstly, based on the near surface model with one inclined refractor and rugged topography, we perform a linear inversion of the refraction wave travel times without ray tracing. Secondly, after calculating the first arrival travel times on a floating horizontal datum through the inverted low velocity layer velocity, we directly invert the diving wave travel times into the near surface velocities of a hypothesized linear v(z) medium without ray tracing. And finally, after building an initial near-surface velocity model by merging the two inversion results of refraction waves and diving waves, we carry out the conventional first arrival travel time tomography with ray tracing based on a grid near-surface model. The real data example shows that the combined inversion scheme can significantly improve the computational efficiency and turn out more accurate inversion results.
in Active-Duty Military Diagnostic Utility of the Posttraumatic Stress Disorder (PTSD) Checklist for Identifying Full and Partial

The aim of this study was to determine optimally efficient cutoff scores on the Posttraumatic Stress Disorder Checklist (PCL) for identifying full posttraumatic stress disorder (PTSD) and partial PTSD (P-PTSD) in active-duty Marines and Sailors. Participants were 1,016 Marines and Sailors who were administered the PCL and Clinician-Administered PTSD Scale (CAPS) 3 months after returning from Operations Iraqi and Enduring Freedom. PCL cutoffs were tested against three CAPS-based classifications: full PTSD, stringent P-PTSD, and lenient P-PTSD. A PCL score of 39 was found to be optimally efficient for identifying full PTSD. Scores of 38 and 33 were found to be optimally efficient for identifying stringent and lenient P-PTSD, respectively. Findings suggest that the PCL cutoff that is optimally efficient for detecting PTSD in active-duty Marines and Sailors is substantially lower than the score of 50 commonly used by researchers. In addition, findings provide scores useful for identifying P-PTSD in returning service members.
Maternal Smoking and Perinatal Outcomes

Nicotine is one of the major components in tobacco smoke, and it can cross the placenta. It enters the fetal circulation and accumulates in the fetal compartments from as early as seven weeks of gestation, even with passive smoking. Elevated fetal carbon monoxide levels may result in hypoxia due to reduced availability of hemoglobin for oxygen transport. Exposure to hazardous substances in cigarette smoke could lead to adverse pregnancy and birth outcomes. In particular, maternal nicotine exposure is associated with many adverse fetal, placental, and postnatal health outcomes, including both short-term and long-term complications. Despite increased awareness of the harmful effects of smoking during pregnancy, approximately 20% of women continue to smoke throughout pregnancy in the world. Reducing smoking in pregnancy is a global public-health priority. We recommend clinical and public-health strategies aimed at the primary and secondary prevention of tobacco exposure for fetuses and children.
Methylation Status of the Epstein-Barr Virus (EBV) BamHI W Latent Cycle Promoter and Promoter Activity: Analysis with Novel EBV-Positive Burkitt and Lymphoblastoid Cell Lines (cid:1)

The Epstein-Barr virus (EBV) latent cycle promoter Wp, present in each tandemly arrayed copy of the BamHI W region in the EBV genome, drives expression of the EB viral nuclear antigens (EBNAs) at the initiation of virus-induced B-cell transformation. Thereafter, an alternative EBNA promoter, Cp, becomes dominant, Wp activity declines dramatically, and bisulﬁte sequencing of EBV-transformed lymphoblastoid cell lines (LCLs) shows extensive Wp methylation. Despite this, Wp is never completely silenced in LCLs. Here, using a combination of bisulﬁte sequencing and methylation-speciﬁc PCR, we show that in standard LCLs transformed with wild-type EBV isolates, some Wp copies always remain unmethylated, and in LCLs trans- formed with a recombinant EBV carrying just two BamHI W copies, Wp is completely unmethylated. Further-more, we have analyzed rare LCLs, recently established using wild-type EBV isolates, and rare Burkitt lymphoma (BL) cell clones, recently established from tumors carrying EBNA2-deleted EBV genomes, which express EBNAs exclusively from Wp-initiated transcripts. Here, in sharp contrast to standard LCL and BL lines,
The liability of mimicry: implementing ‘Global HRM standards’ in US and Indian subsidiaries of a South Korean MNE

There is increasing evidence that multinational enterprises (MNEs) from less dominant economies tend to mimic and disseminate human resource management (HRM) practices sourced from a dominant economy, usually the United States, to overcome their “ liabilities of origin. ” However, our understanding of the specific challenges involved in the implementation of such practices by firms across different national and subsidiary contexts remains limited. Drawing on evidence from a case study of a South Korean MNE, we examine the extent to which, and ways in which, global HRM policies mimicking U.S. practices are implemented across its sales, manufacturing, and research and development subsidiaries in the United States and India. We find discernible differences in the implementation of the global policies both between the two host country sites and across the three function-specific subsidiaries in each country, identifying a range of national and subsidiary-specific factors that inform these variable implementation outcomes. In addition to legitimacy challenges related to the source, appropriateness, and process of transfer, we note a unique form of legitimacy challenge —“ the liability of mimicry ”— whereby local actors can challenge head office policies on the basis of a claim to superior expertise in the dominant practices, as a particular concern of MNEs from emerging economies.
Effect of Proprioceptive Neuromuscular Facilitation on Flexibility in Males with Hamstring Tightness

Flexibility is necessary for overall health and physical condition. Reduced flexibility of muscles leads to tightness in the muscles which may be a consequence of low or inadequate level of physical activity or sedentary life style. In present study, a total of 134 male subjects (age 20-24 years) with bilateral hamstring tightness were recruited. The subjects were randomly divided into Group A and Group B. Group A was given proprioceptive neuromuscular facilitation- hold relax (PNF-HR) and Group B (Control group). The outcome measures - straight leg raise-dominant leg side (SLR-D), straight leg raise-non-dominant leg side (SLR-nD), knee extension angle –dominant leg side (KEA-D), straight leg raise- non-dominant leg side (KEA-nD), sit and reach test (SRT) were measured at first day before treatment and fifth day after treatment. The results show significant improvement in group A with p value ≤ 0.05. Whereas, no improvement was found in group B. The findings conclude that PNF-HR is effective in improving flexibility in males with hamstring tightness.
Risk-Sensitive Markov Decision Process for Underground Construction Planning and Estimating

Summary This paper presents an application of dynamic decision making under uncertainty in planning and estimating underground construction. The application of the proposed methodology is illustrated by its application to an actual tunneling project—The Hanging Lake Tunnel Project in Colorado, USA. To encompass the typical risks in underground construction, tunneling decisions are structured as a risk-sensitive Markov decision process that reflects the decision process faced by a contractor in each tunneling round. This decision process consists of five basic components: (1) decision stages (locations), (2) system states (ground classes and tunneling methods), (3) alternatives (tunneling methods), (4) ground class transition probabilities, and (5) tunneling cost structure. The paper also presents concepts related to risk preference that are necessary to model the contractor’s risk attitude, including the lottery concept, utility theory, and the delta property. The optimality equation is formulated, the model components are defined, and the model is solved by stochastic dynamic programming. The main results are the optimal construction plans and risk-adjusted project costs, both of which reflect the dynamics of subsurface construction, the uncertainty about geologic variability as a function of available information, and the contractor’s risk preference.
A new PCR followed by I digestion for the detection of all variants of the gene

Clostridium perfringens which is a causative agent of several diseases in 19 animals and humans is capable of producing a variety of toxins. Isolates are 20 typed into five types on the basis of the presence of one or more of the four 21 major toxins genes i.e. cpa , cpb , etx , and iap . A decade ago another toxin 22 termed beta2 (β2) and its gene ( cpb2 ) were identified. Two alleles of cpb2 23 are known and a possible link between differences in gene expression and 24 allelic variation has been reported. A correlation between the level of 25 expression and the origin of the isolates has also been suggested. The 26 demonstration and typing of the cpb2 gene in the genome of isolates can be 27 seen as a vital part of research on the role of the beta2 toxin in the 28 pathogenesis of disease. This study describes a PCR with a single primer 29 set which in contrast to published primer sets recognizes both alleles. 30 Subsequent restriction enzyme analysis of the PCR product enables typing of 31 the alleles. Applying this protocol on a total of 102 isolates, a sub-variant was 32 found which occurred only in C. perfringens isolates from pigs and appeared 33 to be the predominant variant found in C. perfringens isolates from this 34 species.
Estimation of Driver’s Risk Awareness from Physiological Data for Smart Assistance Systems

Automated and semi-automated maneuvering will have to be monitored by the driver. To fulfil this task, the driver needs to have adequate risk awareness, which should represent the actual risk of the maneuver within the traffic situation. This work aims at deriving a model of driver’s risk awareness from physiological measurements and traffic context, which were acquired from simulator experiments. Given these prerequisites, a Bayesian Network may be postulated and trained with the data to estimate the risk awareness as internal driver’s state. The results of our study show the general feasibility of our approach. Future assistance systems may take this information and adapt to the user’s risk awareness accordingly.
Case Study of a Black Hole Attack on 6LoWPAN-RPL

—This paper throws light on shortcomings of the Contiki Operating system and ContikiRPL routing protocol, which may lead to an easy injection of malicious activity similar to black hole attack in wireless sensor network. Contiki and ContikiRPL are components for microcontroller devices belonging to the 6LoWPAN group and Internet of Things (IoT). Directed acyclic graph Identiﬁcation Object (DIO) packets are a part of routing metrics and form an integral part of ContikiRPL. Increased number of DIO messages reﬂect instability in the network routing topology and their decreasing frequency reﬂects stable network. In unstable networks, re-formation of path for data packets is initialised by RPL. In this case study it was found that malicious nodes, which continue to send self-generated data packets cause an increase in the number of DIO messages exchanged between nodes while malicious nodes, which supress self-generated data packets are able to disguise the instability of network by having no effect on the number of DIO messages or packet delay. Scenario with malicious node sending self-generated data packets showed 8% increase in total number of DIO packets exchanged amongst nodes while scenario with malicious node not generating any data packets had less number of DIO messages exchanged thus falsely presenting a stable network topology. It was also found that data packets suffer delay in presence of malicious activity in the network. Data packets generated by malicious nodes were 4.3 times higher delayed as compared to data packets from their counterparts in clear network. Data packets from non-malicious nodes also suffered considerably higher delay. Thus, increased packet delay and increase in exchange of DIO messages can be treated as preliminary indicators of malicious activity but more concrete parameters are required to identify malicious nodes. This case study may be helpful in designing an effective defense system against known attacks on wireless sensor networks.
Occurrence and origin of mono-, di-, and trimethylalkanes in modern and Holocene cyanohacterial mats from Abu Dhabi, United Arab Emirates

-n-Alkanes, highly branched isoprenoids, monomethylalkanes (MMAs), dimethylalkanes (DMAs), and trimethylalkanes (TMAs) are the most abundant components in the hydrocarbon fractions of extracts of four modem and two Holocene cyanobacterial mats (1500 and 5110 2 170 y BP) collected in Abu Dhabi (United Arab Emirates). The homologous families of MMAs, DMAs, and TMAs were identified by comparison of mass spectral and relative retention time data with published data. DMAs were also identified by synthesis of authentic standards, 3,9-dimethyltricosane, 59-dimethyltricosane, and 11,15dimethylheptacosane. MMAs, DMAs, and TMAs of the cyanobacterial mats can be separated into two groups on the basis of their distribution patterns and structures. MMAs and DMAs in the C16-C22 range are characterized by methyl substituents mainly located at C-6 (or ~6) and C-7 (or ~7) and are derived from cyanobacteria. They are relatively abundant components in the modem cyanobacterial mats, but with increasing age of the mats they become much less abundant. On the contrary MMAs, DMAs, and TMAs in the C24-C4s range are exclusively found in the Holocene cyanobacterial mats. Their longest chains mainly contain an odd number of carbon atoms and they always carry the methyl substituents at odd numbered carbon atoms. The similarity in composition of this very specific group of branched alkanes with that encountered in insect epicuticular waxes suggests that these sedimentary hydrocarbons originate from insects, which probably grazed on the cyanobacterial mats.
Author’s Reply to “Comments on ‘A General and Transformable Model Platform for Emerging Multi-Gate MOSFETs’”

The authors would like to apologize for and correct a few errors about the references in our recently published paper ( [1] of this reply), and make some comments: 1) References [26] (by T. Alfrey et al. ) and [32] in our paper should be [2] (by R. M. Fuoss et al. ) and [3] as listed in this reply, respectively. 2) We would also like to recognize the work of Paolucci et al. ( [4] of this reply), in particular, their introduction of two transformation variables (Eq. (4)) to solve the nonlinear cylindrical 1-D Poisson’s Equation. We were not aware of their work at the time of our paper publication. Actually, the involved transformation variables/method were first reported by Fuoss et al. [2] , hereinafter referred to as Fuoss’ transformation variables/method . On the other hand, it should be pointed out that before the paper by Paolucci et al. was submitted for consideration of publication, we had been aware of the work of Fuoss et al. The related early work of our corresponding author (Chen) dates back to 2001 (e.g., [37] in our paper). All the research reports of our students, including the cited thesis ([38] in our paper) of Jun Zhou (one of our authors), have been well documented in the database and library of our university. Jun Zhou’s first report on Fuoss’ transformation variables was submitted in November of 2014 (the evidence material has been submitted to the editor for a review). In his report, Jun Zhou used Fuoss’ transformation variables to prove that the cylindrical nonlinear Poisson’s equation can be transformed to the Cartesian form. His thesis proposal [5] was submitted in November of 2015 for an approval from his advisor and the thesis committee. The thesis was completed and officially signed (and documented in our university library) in May of 2016.
Rez-onomics: A Cross Comparative Analysis of Tribal Economic Performance

In this thesis, I will assess the various factors that are believed to have a significant impact on economic conditions on American Indian reservations. Drawing upon literature related to the lingering effects of colonialism, social fragmentation and ineffective government institutions experienced by American Indian tribes and Native Alaskan villages, this study hypothesizes that the rate of poverty and the rate of unemployment on designated American Indian Areas (AIAs) is directly related to measures of dependency on the federal government, social cohesion on the reservation, and strength of governance institutions. In order to test these predictions I have analyzed a data set containing information on 352 American Indian tribes and Alaskan Native villages in the United States. I will measure these factors with the use of ordinary least squares regression (OLS) techniques. I am interested in answering the general questions: What are the factors and conditions that contribute to economic prosperity on reservations? Exactly why are some tribes economically prosperous, while other tribes struggle? In order to answer these questions, I examine a set of frameworks relating to measures of dependency on the federal government, social cohesion, and strength of governance.