Miracle-dz/UniFAR-FTUs huggingface dataset:
Square Policy Peg, Round Technology Hole? LCFS, Technology Neutrality, and Stimulating the EV Market

Widespread electrification of the transportation sector is a key component of most strategies for deep decarbonization of the U.S. economy. While the acceptance of EVs has grown dramatically over the last decade, much of this growth has been spurred by substantial support from public funds and other related policies. Major electrification on the time scales supported in many climate policy plans will require substantial investment spurred by policy. In this whitepaper we discuss the policy options for expanding the EV market. Our particular focus is on the potential role that a Low-Carbon Fuel Standard (LCFS) can play in supporting electrification. Standards like the LCFS are typically positioned as “technology neutral”, and the LCFS itself relies upon a dense set of calculations and assumptions to rate a wide variety of fuels based upon their life-cycle carbon intensity (CI). The LCFS in California is currently directing hundreds of millions of dollars to the EV market in California. However, it is likely that for a LCFS to support the kinds of investments on a magnitude likely necessary to reach electrification goals, it may have to be altered in such fundamental ways as to no longer really function as a technology-neutral fuel standard. *(Bushnell) University of California Davis and NBER. jbbushnell@ucdavis.edu. (Muehlegger) University of California Davis and NBER. emuehlegger@ucdavis.edu. (Rapson) University of California Davis. dsrapson@ucdavis.edu. (Witcover) University of California Davis. jwitcover@ucdavis.edu. This work was supported by the Clean Air Task Force. The views expressed herein are those of the authors.
Single Step Solution Processed GaAs Thin Films from GaMe3 and tBuAsH2 under Ambient Pressure

This article reports on the possibility of low-cost GaAs formed under ambient pressure via a single step solution processed route from only readily available precursors, tBuAsH2 and GaMe3. The thin films of GaAs on glass substrates were found to have good crystallinity with crystallites as large as 150 nm and low contamination with experimental results matching well with theoretical density of states calculations. These results open up a route to efficient and cost-effective scale up of GaAs thin films with high material properties for widespread industrial use. Confirmation of film quality was determined using XRD, Raman, EDX mapping, SEM, HRTEM, XPS, and SIMS.
H3K4 Methylation in Aging and Metabolism

During the process of aging, extensive epigenetic alterations are made in response to both exogenous and endogenous stimuli. Here, we summarize the current state of knowledge regarding one such alteration, H3K4 methylation (H3K4me), as it relates to aging in different species. We especially highlight emerging evidence that links this modification with metabolic pathways, which may provide a mechanistic link to explain its role in aging. H3K4me is a widely recognized marker of active transcription, and it appears to play an evolutionarily conserved role in determining organism longevity, though its influence is context specific and requires further clarification. Interestingly, the modulation of H3K4me dynamics may occur as a result of nutritional status, such as methionine restriction. Methionine status appears to influence H3K4me via changes in the level of S-adenosyl methionine (SAM, the universal methyl donor) or the regulation of H3K4-modifying enzyme activities. Since methionine restriction is widely known to extend lifespan, the mechanistic link between methionine metabolic flux, the sensing of methionine concentrations and H3K4me status may provide a cogent explanation for several seemingly disparate observations in aging organisms, including age-dependent H3K4me dynamics, gene expression changes, and physiological aberrations. These connections are not yet entirely understood, especially at a molecular level, and will require further elucidation. To conclude, we discuss some potential H3K4me-mediated molecular mechanisms that may link metabolic status to the aging process.
A Case Report on Bullous Pemphigoid- Its Management with Dexamethasone and Its High Efficacy

Bullous pemphigoid is the most frequently occurring skin condition. Increase incidence rate in the past decades has been attributed to the population of drug-induced cases and with aging, that causes large, fluid-filled blisters, so commonly called as a blistering disorder. They tend to develop on areas of skin that often flex such as the hands, legs especially on thighs and feet. The blisters occur because of a malfunction in immune response since it is an autoimmune disorder often triggers by UV Rays exposure. According to the American Academy of Dermatology, UV radiation also impairs the skin’s immune system in alarming ways by the reduction of watchdog cells that help recognize and respond to antigens and alters their function so they are as effective as dozing prison guards [8]. Diagnosed based on physical examination, clinical, histopathological, immunological criteria. The histopathological report reveals the presence of a linear band of IgG deposit found on the blister roof (epidermal side of split skin). Multiple treatment modalities are present for this condition, involving medications are anti-inflammatory, drugs to reduce immunoglobulin formation, treatments to increase the elimination of antibodies. This case report aims to present a classic case of this condition, to highlight awareness on dexamethasone efficacy in such rare skin conditions like bullous pemphigoid, and to advocate referral to a dermatologist given its potential severity.
Handling qualitative preferences in SPARQL over virtual ontology-based data access

With the increase of data volume in heterogeneous datasets that are being published following Open Data initiatives, new operators are necessary to help users to find the subset of data that best satisfies their preference criteria. Quantitative approaches such as top-k queries may not be the most appropriate approaches as they require the user to assign weights that may not be known beforehand to a scoring function. Unlike the quantitative approach, under the qualitative approach, which includes the well-known skyline, preference criteria are more intuitive in certain cases and can be expressed more naturally. In this paper, we address the problem of evaluating SPARQL qualitative preference queries over an Ontology-Based Data Access (OBDA) approach, which provides uniform access over multiple and heterogeneous data sources. Our main contribution is Morph-Skyline++, a framework for processing SPARQL qualitative preferences by directly querying relational databases. Our framework implements a technique that translates SPARQL qualitative preference queries directly into queries that can be evaluated by a relational database management system. We evaluate our approach over different scenarios, reporting the effects of data distribution, data size, and query complexity on the performance of our proposed technique in comparison with state-of-the-art techniques. Obtained results suggest that the execution time can be reduced by up to two orders of magnitude in comparison to current techniques scaling up to larger datasets while identifying precisely the result set.
Identification Of Specific Ige In Asthmatic Patients In Iraq

A sample of 52 patients were studied to measure IgE level by ELISA. The allergen’s diagnosis is sometimes carried out by going through the medical history of people & discovering the positive results for allergen’s presence. The goal is to decrease Bronchial hyper responsiveness and initiate a program of preventive therapy with education of patients to what to avoid (i.e. according to the test performed
Maximizing the value from returns by overcoming the barriers faced by reverse logistics : Review of the barriers and conceptualizing the comprehensive managing factors

At present, when contemporary organizations are seeking novel and original initiatives to gain a competitive position in the market, reverse logistics is one of the worth mentioning domains which has been distinctly recognized in this regard lately. As the field is in introductory phases with respect to large scale managerial concerns, it is facing certain difficulties and barriers in conveying the desired benefits for organizations. This study has made an attempt to put all the identified barriers together in the form of a mode. The study has been extended to review these barriers and also confer the unique approach to manage these barriers by conceptualizing the minimum number of managing factors. The study is based on theoretical grounds of introducing top management support, information support system and formalization of the reverse logistics programs to remove problems faced by the successful intervention of reverse logistics. © 2014 Elixir All rights reserved. Elixir Mgmt. Arts 69 (2014) 23348-23353 Management Arts Available online at www.elixirpublishers. com (Elixir International Journal)
An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information

As the COVID-19 pandemic rapidly spreads across the world, regrettably, misinformation and fake news related to COVID-19 have also spread remarkably. Such misinformation has confused people. To be able to detect such COVID-19 misinformation, an effective detection method should be applied to obtain more accurate information. This will help people and researchers easily differentiate between true and fake news. The objective of this research was to introduce an enhanced evolutionary detection approach to obtain better results compared with the previous approaches. The proposed approach aimed to reduce the number of symmetrical features and obtain a high accuracy after implementing three wrapper feature selections for evolutionary classifications using particle swarm optimization (PSO), the genetic algorithm (GA), and the salp swarm algorithm (SSA). The experiments were conducted on one of the popular datasets called the Koirala dataset. Based on the obtained prediction results, the proposed model revealed an optimistic and superior predictability performance with a high accuracy (75.4%) and reduced the number of features to 303. In addition, by comparison with other state-of-the-art classifiers, our results showed that the proposed detection method with the genetic algorithm model outperformed other classifiers in the accuracy.
A Survey on space time block coding in wireless communication

The combo of coding with spatial assorted qualities opens up new measurements in wireless interchanges, and can offer successful answers for the difficulties confronted in acknowledging solid rapid connections. Use of Space-Time Block Coding (STBC) with Multiple-Input Multiple-Output (MIMO) set-up proves to be an efficient method for this task. In wireless environment there is no prior knowledge of the channel state information (CSI) and hence it is required to employ some estimation techniques to obtain an estimate of the channel. Channel estimation is thus an important step in receiver design. Multiple Input Multiple Output (MIMO) is a promising candidate for the upcoming generation communication networks. It has been proposed to develop wireless systems that offer both high capability and good performance. To accomplish high date rate and fulﬁll the power, MIMO systems are equipped with High Power Ampliﬁer (HPA). Unfortunately, the nonlinearity of HPA has a crucial impact and affects the receiver’s performance. Due to the high bandwidth utilization efficiency, multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) techniques have become a major trend for modern communications. However, MIMO-OFDM techniques need exact synchronization and channel estimation methods to compensate the frequency offset and utilize the multiple antenna diversity.
Accentuated Cut Edges (ACE): Effects of Skin Fragmentation on the Composition and Sensory Attributes of Pinot noir Wines

The phenolic composition, aroma, and sensory profiles were evaluated for Pinot noir wines made using four different maceration techniques that modified the floating pomace cap during fermentation: 1) daily plunging; 2) reduced skin particle size (accentuated cut edges, ACE); 3) submerged cap; and 4) ACE plus submerged cap. Throughout vinification, wines were analyzed using rapid analytical techniques to assess the following phenolic attributes: anthocyanin, tannin, nonbleachable pigments, color density, and hue. At six months bottle age (230 days postinoculation), sensory and aroma analyses were conducted on the finished wines. ACE macerated wines were found to have the highest proportion of red color, tannin, nonbleachable pigments, fruit and floral aromas, bitterness, and astringency. Submerging the pomace cap resulted in a lower concentration of phenolic components when compared to ACE wines, but resulted in a significantly higher phenolic content and dark cherry aromas and flavor when compared to the control wine. These findings suggest that the employment of either maceration technique has the potential to make a considerable difference to the wine style produced from a given parcel of fruit and may provide an opportunity to press wines earlier in the fermentation. Linear regression analyses were conducted to compare descriptive wine parameters with instrumental phenolic measurements and demonstrated several strong correlations: red color appearance was correlated with both color density (r2 = 0.95) and nonbleachable pigment (r2 = 0.95); dark fruit flavor was correlated with both color density (r2 = 0.85) and nonbleachable pigment (r2 = 0.85); and astringency was correlated with both tannin (r2 = 0.97) and nonbleachable pigment (r2 = 0.87), demonstrating that techniques of rapid chemical analysis were able to provide valuable insights into the sensory properties of the wine and may become useful tools for monitoring the development of the wine during vinification. While submerged cap vinification also increased the tannin and nonbleachable pigment profiles of the wine, ACE maceration was found to be significantly more effective and is likely to be more readily adapted for application in commercial wineries.
Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video

Hypomimia, also known as "facial masking", is a common symptom of Parkinson’s Disease (PD). PD is a neurological disorder characterized by non-motor and motor impairments. Hypomimia is the reduction of facial expressiveness, including the emotion expressions. In this work, we explore the use of static and dynamic features for the analysis of evoked facial gestures in PD patients. The main contributions of this work are: (1)We propose a multimodal PD detection system based on both static and dynamic features obtained from evoked face gestures; (2) we propose a novel set of 17 dynamic features to characterize the facial expressiveness and demonstrate that facial dynamics features can be used to improve PD detection; and (3) we analyze different evoked facial expressions and its performance for PD detection. Different expressions activate different Action Units (AUs) and we analyze to what extent each of these AUs contribute to PD detection. The results show that the use of static features generated by pre-trained deep architectures yield up to 77.36% of accuracy for PD detection and the combination with dynamic features improves PD detection by up to 13.46% (from 75.00% to 88.46%). Our experiments also suggest differences in the performance of evoked face gestures in this PD detection task.
Classification of the Musculocutaneous Nerve Fetuses

The musculocutaneous nerve is a terminating branch of lateral cord of the brachial plexus and is formed from spinal roots of C5, C6 and C7. The anatomical variations of the musculocutaneous nerve (MCN) are not common, literary reports h ave described the different course of the MCN in the arm, however very few fetal studies have been conducted on the variations of t he MCN. Therefore, the aim of this study was to describe the course of the MCN in fetuses and document variations, if any. In this stud y, a sample size of twenty-five fetuses were bilaterally dissected (n=50) using a stereomicroscope. The anatomy of the MCN was described us ing a classification system generated based on the findings of this study. Ethical clearance was obtained from Biomedical Research Et hic Committte (BE385/17). Type I (normal anatomy) of the MCN was found in 42/50 (84 %) of specimens in this study. This study found a few variations, viz. 1/50 (2 %) case of Type II (absent), 1/50 (2 %) Type III (communication between the MCN and MN, from the M N to the MCN), 4/50 (8 %) cases of Type IV (communication from the MCN to the MN) and 2/50 (4 %) cases of Type V (communication from the MCN to the MN, where the MCN does not pierce the coracobrachialis muscle). Therefore, this study provides evidence of varia tions of the MCN in fetuses that may help surgeons in the interpretation of abnormal innervation patterns in the arm.
Growth of nano-domains in Gd-CeO2 mixtures: Hybrid Monte Carlo simulations

Hybrid Monte Carlo (HMC) simulations are used to study the growth of Gd-rich domains in Gd doped CeO2, and we probe the conductivity of the resulting and other configurations by molecular dynamics. Previous work has been restricted to the dilute defect limit, assumptions of particular cluster formation, and neglect of all temperature effects. Our methods suffer none of these restrictions. Even at low concentrations Gd3+ segregates into domains. We have examined the local environment of the Gd3+ ions using radial distribution functions and Steinhardt order parameters. The observed structure is consistent with the formation of cubic C-type (Gd2O3) domains, rather than the monoclinic B-type or pyrochlore clusters which have been suggested previously. In addition, previous detailed pair distribution function analysis of the solid solution has indicated different local cation environments from those from a Rietveld analysis – overall our results support the former analysis rather than the latter. At the elevated temperatures (1000 K) of the simulations there is no particular preference for vacancy and dopant cations to be located at second neighbour sites, an issue long discussed for this and similar systems. Both calculated and experimental conductivities show a similar variation with composition, passing through a maximum with increasing Gd concentration. The conductivities of the configurations generated in the hybrid Monte Carlo simulations are lower than those of configurations generated independently in which the Gd ions are distributed at random. The HMC thermally generated Gd nano-domains capture oxygen vacancies, reduce oxygen vacancy mobility and block diffusion paths.
Experiments on Unsupervised Text Classi(cid:12)cation based on Graph Neural Networks

Traditional text classi(cid:12)cation requires labelled data for training the models, but obtaining a suﬃcient amount of training data is costly and often not practical. Recently, an unsupervised approach to text classi(cid:12)cation has been proposed, which is based on a novel neural network architecture that represents textual relationships by graphs. The present study reports on an experiment to validate this approach: our model achieves 42.5% in average classi(cid:12)cation accuracy and outperforms a basic autoencoder baseline with an accuracy of 31.3%.
Validity and Reliability of “Chaboki Afza” Researcher made Instrument

Considering the need of most sports skills to perform fast actions, change of direction at an appropriate time, and necessity utilization of suitable agility tests for assessment, the purpose of this study was to determine the validity and reliability of the “Chaboki Afza” researcher-made device. In thisexperimental research, the model of the study was validation and reliability, and classified in applied research type. Following the design and construction of the agility booster device, for its validity and reliability, 10 young healthy volunteering to participate in this study. All tests were executed in the same conditions on both T and Illinois tests instruments and reference tests, by two examiners. To evaluate the validity of the researcher-made device, independent t-test was applied on the data recorded from the device-related test and the recorded data from the functional tests. Furthermore, to evaluate the reliability of instrument, the Inter-Intra Class Correlations (ICC) were used. Research results showed a significant correlation coefficient between the device test in all three replicates of the device and the Illinois field test (r = 0.66). While there was no significant correlation between T-test and the proposed instrument’s tests (r = 0.23). The achieved results confirmed acceptable reliability of tests (within the examiner for consecutive repetitions of 0.93, 0.72 and 0.69, respectively and between the examiners 0.96) for Inter-Intra Class Correlation in these research measurements. Due to the results, Chaboki Afzacan be recommended as an alternative or complementarydevice for evaluating agility field tests.
Principles of Bio-Ecologic Medicine

Introduction When the term allergy was coined in the early 1900's, it was used to apply to observable cause and effect maladaptive reactions between the evoked emergence of symptoms on exposure to environmental substances. In the late 1920's, the antibody mechanism of some acute allergic reactions was discovered and after this, the specialty of allergy rapidly became immunologically oriented. In doing so, other environmentally evoked reactions were ignored or discounted as not so and even sometimes attributed to placebo effect resulting from over enthusiastic expectations from either patient, doctor or both. Arthur Coca, founder and longtime editor of The Journal of Immunology, described as significant in his writings nonimmunologic reactions which he called nonreaginic allergy (1956, 1953). He characterized these nonimmunologic reactions as occurring in degenerative diseases and specifically named hypertension, cardiac dysrhythmia and diabetes mellitus as sometimes being of this order. Nonreaginic allergy has never been
A Three-State Markov Model for Predicting Movements of Asset Returns of a Nigerian Bank

We present in this paper an alternative approach to determining and predicting the fluctuations in the daily prices and stock returns of a firstgeneration bank in the Nigerian Stock Market (NSM). The approach uses a three-state Markov to estimate the expected duration of the asset returns in states classified as rising (positive) (Rk), falling (negative) state (Rm) or stable (zero) state (Rl). Related goodness-of-fit tests show that the Markov model fits the data adequately with an error rate of approximately 0.1. The maximum expected lengths of successively being in either positive or negative regime is 4 days, while that of zero regime is 12 days, within any trading month of the study period (August 2005-Jnauary 2012). For the 2005-2009 period which encompasses post-2004 banking reform and the 2007-2009 global financial crisis, runs of zero returns dominate those of positive and negative returns about 59% of the time, indicating a lack of pronounced asymmetric effects in the bank’s returns. The findings further reveal a minimum trading cycle of 7 days in February and a maximum cycle of 18 days in the months of May and October. The paper provides useful insights not only on the durations of returns in the three states, but on the Markovian transition probabilities among pairs of states which have implications for how investors could trade and invest in the bank stock or in a portfolio with bank stocks, if the same approach is used to characterise the returns dynamics of other banks in the NSM.