Miracle-dz/UniFAR-FTUs huggingface dataset:
The untold story of USA presidential elections in 2016 - Insights from twitter analytics

Elections are the most critical events for any nation. As the stakes are high, social media platforms are being used by election candidates for engaging voters. In this context, using the 2016 presidential election of USA as a case study, we explored how Twitter had been used by presidential candidates and how the drivers of voter’s behavior were indicated on Twitter. For this study, social media analytics have been used to derive insights related to theoretical frameworks in political science. We attempt to explore if the nature of discussions surrounding elections in social media have an impact on the voting outcome through acculturation of ideologies and subsequent polarization of preferences. Our findings indicate that the discussions in Twitter may have polarized the users to a significant extent. We have also attempted to understand the reasons for such polarisation using the Newman Sheth’s framework for voter choice behavior. Geographical analysis of tweets, users and campaigns among USA state represents the acculturation of ideologies among voting groups. Lastly, network analysis among the voters indicate that polarization may have been an outcome due to differences in online campaigns and their awareness among target groups which are also representative in the physical world. The study thus provides interesting inputs for the management and governance of political campaigns successfully. present offers insights on how Twitter by the and way USA the election The research paper also highlights the impact of releasing the past internal government information on Twitter. The study also showcases the popular campaigns run by the presidential candidates on Twitter for 58th quadrennial American presidential election and their potential impact. are not at all. In terms of the the findings in our study contribute to literature on how social ecosystems use social media for conversing on topics across geographically diverse states. Higher uniformity of frequency of social media activity by the candidate leads to higher popularity and engagement among followers along with the criticism and harassment on the candidate. Consequent campaigns on the social media gains higher popularity and engagement among Twitter user. The study also depicts how strong emotional elements (like surprise) in a tweet can increase the social buzz on the social media platforms. Further, greater coverage of factors like issues and policies, social imagery, emotional feelings, candidate image, current events, personal events and epistemic issues create greater connect with otherwise geographically segregated social communities. Trump had greater coverage on these factors of voter’s choice behavior as compared to Clinton which may have impacted the outcome of the election. The study reveals popular campaigns during USA election are connecting the dispersed users on the social media platforms and bringing acculturation of ideologies among users which may be the reasons of users getting polarized through the discussions and forming the virtual communities on social media platforms.
RNA binding proteins and glycoRNAs form domains on the cell surface for cell penetrating peptide entry

The composition and organization of the cell surface determine how cells interact with their environment. Traditionally, glycosylated transmembrane proteins were thought to be the major constituents of the external surface of the plasma membrane. Here, we provide evidence that a group of RNA binding proteins (RBPs) are present on the surface of living cells. These cell surface RBPs (csRBPs) precisely organize into well-defined nanoclusters that are enriched for multiple RBPs, glycoRNAs, and their clustering can be disrupted by extracellular RNase addition. These glycoRNA-csRBP clusters further serve as sites of cell surface interaction for the cell penetrating peptide TAT. Removal of RNA from the cell surface, or loss of RNA binding activity by TAT, causes defects in TAT cell internalization. Together, we provide evidence of an expanded view of the cell surface by positioning glycoRNA-csRBP clusters as a regulator of communication between cells and the extracellular environment.
High-confidence 3D template matching for cryo-electron tomography

Cryo-electron tomography (CryoET) resolves individual macromolecules inside living cells. However, the complex composition and high density of cells challenge the faithful identification of features in tomograms. Here, we capitalize on recent advances in electron tomography and demonstrate that 3D template matching (TM) localizes a wide range of structures inside crowded eukaryotic cells with confidence 10 to 100-fold above the noise level. We establish a TM pipeline with systematically tuned parameters for automated, objective and comprehensive feature identification. High-fidelity and high-confidence localizations of nuclear pore complexes, vaults, ribosomes, proteasomes, lipid membranes and microtubules, and individual subunits, demonstrate that TM is generic. We resolve ∼100-kDa proteins, connect the functional states of complexes to their cellular localization, and capture vaults carrying ribosomal cargo in situ. By capturing individual molecular events inside living cells with defined statistical confidence, high-confidence TM greatly speeds up the CryoET workflow and sets the stage for visual proteomics.
Mediterranean Conference on Information Systems ( MCIS ) 1-1-2012 A Critical Review of Luftman ' s Instrument for Business-IT Alignment

Business and Information Technology alignment (BIA) remains one of the most important issues among IT managers. The assessment of Business and Information Technology Alignment (BIA) has been viewed by different rationales in the literature. This paper reviews the most important literature about BIA, identifying the alignment assessment approaches under the lenses provided by Luftman alignment measurement instrument. Several significant alignment studies are analyzed, presenting their research approach, the dimensions of the alignment and the unit of analysis employed at each study. Then, an assessment how well these various works on Business/IT-alignment cover individual dimensions of the Luftman framework is made. One of the main finding was that most of the approaches focus were on the strategic level. Also, from these studies, the alignment between business and IT may vary from a simpler view, with a single and indirect computation way, to a more complex approach sustained by Luftman, with quite a few dimensions, identified as communication, competency/value measurements, governance, partnership, technology scope and skills. This work contributes for a better understanding of the findings regarding Luftman instrument validation. Implications for future research are discussed.
Internet security: malicious e-mails detection and protection

New malicious e‐mails are created at the rate of thousands a year and pose a serious security threat. Especially, new, unseen Internet worms and virus often are arriving as e‐mail attachments. In this paper, Bayesian probabilistic network is examined to detect new malicious e‐mail viruses through anomaly detection. Experimental results show a better malicious e‐mail detection using Bayesian probabilistic networks. Managerial implications on how companies can protect their e‐mails and develop their own e‐mail security plan are addressed as well.
Scientific Journals in Costa Rica: Current Situation and Challenges

This article analyzes the progress of the Costa Rican scientific journals standing out how they have evolved in the recent years. It describes some of their characteristics and the way the Latindex project has contributed to their improvement. Finally, it concludes that that there is still enough work to do to reach the quality of many other good Latin American and worldwide journals.
© 2006 by Matthew R McClain

The ability to program a digital computer to use a natural language has evaded humans for over half a century. I believe that this is because all previous attempts have ignored the role of the physical world in language acquisition. It is the goal of the Language Acquisition Group at the University of Illinois at Urbana-Champaign to build a robot that is able to learn language as well as humans through embodied sensorimotor interaction with the physical world. I propose cognitive structures for an autonomous robot to enable it to learn the syntax of noun-verb sentences using its semantic understanding of the sentences’ words. Specifically, production rules of syntax in Chomsky normal form will be explicitly represented using a hidden Markov model. These structures will be integrated into the robot’s long-term associative memory, so that the representations of syntax that the robot acquires are dependent upon the robot’s sensorimotor experience. The robot will then use this representation of syntax to produce sentences, some of which are novel, that describe what the robot observes.
Canonical analysis of several sets of variables

SUMMARY Five extensions of the classical two-set theory of canonical correlation analysis to three or more sets are considered. For each one, a model of the general principal component type is constructed to aid in motivating, comparing and understanding the methods. Procedures are developed for finding the canonical variables associated with the different approaches. Some practical considerations and an example are also included.
The Effect of an Authentic Learning Experience on Low-Performing EFL Pre-Service Teachers’ Intentions to Use E-Learning for Teaching

This research was aimed at finding out the effect of an authentic learning experience, the experience in taking a real course in a university, when e-learning was combined with face-to-face interaction on the pre-service teachers' intention of using e-learning in their future teaching employment. Fifty-two pre-service teachers majoring in an English grammar course at a state university in Indonesia participated in this research. The average test scores revealed that they performed poorly on quizzes based on assigned reading materials. The Theory of Planned Behavior (TPB) questionnaire was used for pre-test and post-test, and the data were analyzed using the Paired Sample Wilcoxon test at the significance level of 0.05. The research results show that all pre-service teachers’ intentions of using e-learning for teaching were significantly different in a negative direction before and after the participants received an authentic learning experience. These results suggest that the low-performing pre-service English teachers’ intention to use e-learning was lower after they had an authentic learning experience with e-learning.
Human Papillomavirus 16 Lineage D is Associated with High Risk of Cervical Cancer in the Brazilian Northeast Region

Abstract Objective Similar to Human Papillomavirus (HPV) genotypes, different lineages of a genotype also have different carcinogenic capabilities. Studies have shown that specific genotype lineages of oncogenic HPV are associated with variable risks for the development of cervical intraepithelial neoplasia (CIN2/CIN3) and cervical cancer. The present study aimed to analyze the genetic diversity of the HPV16 genotype in women with CIN2/CIN3 and cervical cancer, from the northeast region of Brazil. Methods A cross-sectional multicenter study was conducted in the northeast region of Brazil, from 2014 to 2016. This study included 196 cases of HPV16 variants (59 and 137 cases of CIN2/CIN3 and cervical cancer, respectively). The difference of proportion test was used to compare patients with CIN2/CIN3 and cervical cancer, based on the prevalent HPV16 lineage ( p < 0.05). Results According to the histopathological diagnosis, the percentage of lineage frequencies revealed a marginal difference in the prevalence of lineage A in CIN2/CIN3, compared with that in cervical cancer ( p = 0.053). For lineage D, the proportion was higher in cancer cases (32.8%), than in CIN2/CIN3 cases (16.9%), with p = 0.023. Conclusion HPV16 lineage A was the most frequent lineage in both CIN2/CIN3 and cervical cancer samples, while lineage D was predominant in cervical cancer, suggesting a possible association between HPV16 lineage D and cervical cancer.
Characterization of speciated aerosol direct radiative forcing over California

The WRF‐Chem model, with the added capability of diagnosing the direct radiative forcing of individual aerosol species, is used to characterize the spatial and seasonal distribution of speciated aerosol direct radiative forcing over California. Overall, the simulation in 2005 is able to reproduce the observed spatial and seasonal distribution of total PM2.5 mass concentration and the relative contribution from individual aerosol species. On statewide average over California, all aerosol species reduce the surface net radiation fluxes, with a total by about 1.5 W m−2 (winter minimum) to 3 W m−2 (summer maximum). Elemental carbon (EC) is the largest contributor in summer (−1.1 W m−2 and ~35%), and sulfate is the largest in winter (−0.45 W m−2 and ~30%). In the atmosphere, total aerosol introduces a warming effect of about 0.5 W m−2 (winter minimum) to 2 W m−2 (summer maximum). EC and dust contribute about 75 − 95% and 1 − 10% of the total warming through the seasons, respectively. At the top of the atmosphere (TOA), the overall total aerosol direct radiative effect is cooling of −1.0 W m−2 through the seasons, with sulfate as the biggest contributor of −0.4 W m−2 (winter minimum) to −0.7 W m−2 (summer maximum). EC produces a TOA warming of up to about 0.7 W m−2, whereas all other aerosol species produce a TOA cooling. The diagnostic method implemented in WRF‐Chem can be applied to other regions to understand the roles of different aerosols in the direct radiative forcing and regional climate.
Determination of unknown impact force acting on arbitrary structures

This work presents a predictive model for determining the location and amplitude of an unknown impact force acting on arbitrary structures. Both time and frequency domain prediction methods are developed, respectively. The structural modal parameters can be first obtained by theoretical approach or by experimental modal testing. The structural response at time and frequency domains due to an unknown impact force can then be measured and recorded. The predicted response can also be lormulated and expressed as functions of amplitude and ocation of the impact force. The sum of mean square rors between the predicted and measured response is then be defined as the objective function, while the amplitude and the location of the unknown impact force are as design variables. The optimization problem is thereby constructed and can be solved for the amplitude of the impact force. The mode shape information associated to the location of the impact force can also be esolved and compared to the structural mode shapes to obtain the location of the unknown impact force. A smply supported beam is introduced to experimentally rify the force predictive model. Results show that the edictive model is feasible and applicable to arbitrary uctures.
Template for for the Jurnal Teknologi

Multiple Input Multiple Output (MIMO) system has been brought a great improvement in spectral efficiency and the system capacity by serving multiple users simultaneously. The mathematical model of downlink Multi-user MIMO system and its capacity has been presented as well as different precoded transmission schemes. It is to implementing the downlink MU-MIMO system, such as channel inversion (CI), block diagonalization (BD), dirty paper coding (DPC) and tomlinsonharashimaprecoding (THP). It is because, in wireless and mobile communication system has been requires a reliable transmission of high data rates under various channel type different scenarios and reduce MU interference in the system. These compares the method of transmission for broadcast channel (BC) and propose the best one method that outperforms existing technique with percentage improvement from the worst performance.
A Stable and Symmetric FDTD Subgridding Method with Arbitrary Grid Ratio

A stable and symmetric finite-difference time-domain (FDTD) subgridding method is proposed to effectively and accurately solve the three-dimensional electromagnetic prob-lems. The linear interpolation coefficient (LIC) and the length cutoff coefficient (LCC) are carefully designed to guarantee the stability of the proposed method. In addition, the proposed method is applicable to arbitrary grid ratios and nested meshes. A practical multiscale example is used to validate its accuracy and efficiency.
Applying a Novel Testing Scheme for the Numerical Evaluation of the Magnetic Field Integral Equation

The numerical evaluation of the double surface integrals that arise in the method of moments has captured considerable attention in recent years. Although most of the literature has focused on the evaluation of the source integral, the development of efficient and accurate procedures for the evaluation of the test integral is also needed. In this work, an integration scheme using a hybrid source singularity subtraction-cancellation scheme is proposed to improve the accuracy and efficiency of test integral evaluation arising in the magnetic field integral equation.
Should Sleep-Deprived Surgeons Be Prohibited From Operating Without Patients ’ Consent ?

Division of Sleep Medicine, Department of Medicine, Brigham and Women’s Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts; Department of Surgery, University of Washington, Seattle, Washington; and Institute of Human Values in Health Care, Clinical Research Ethics Core of the South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, South Carolina
A Novel Minkowski Fractal Antenna with Double U-Slots for Ka-band Satellite Communications

A novel Minkowski fractal antenna with double U-slots is proposed for Ka-band satellite communications. A second-order Minkowski fractal is used to reduce the patch size. The double U -slots can create two resonant frequencies at 29.37 G Hz and 37.54 G Hz, respectively. The simulated results by the well-known CST software validate that the proposed antenna is capable of covering the frequency bands of 29.07 ~29.66 GHz and 37.08 ~37.92 GHz, respectively. The proposed antenna can achieve a gain of 7.0 dBi within the operating band and is applicable to Ka dual-band satellite communication. Also, its size is reduced by more than 28 % compared with the traditional double- U -slot antenna without the fractal structure.
A Lightweight X-Ku Band Dual-Polarized Antipodal Vivaldi Antenna Array

The Advanced Aperture Solutions team at L3Harris Technologies presents a $\mathbf{4}\times \mathbf{4}$ lightweight, dual-linear polarized, multi-octave bandwidth Antipodal Vivaldi Antenna (AVA) array suitable for multi-function RF applications. This multi-octave phased array provides an active voltage standing wave ratio (VSWR) less than 3.25:1 across X – Ku operating frequency bands. The array is designed with a lattice spacing that achieves grating-lobe free operation covering the field of view of $\pm \mathbf{45}^{\circ}$ scan angles across the operating bands. This dual-linear polarization AVA array is designed such that it achieves multi-octave bandwidth operation while maintaining low size, weight, power, and cost (SWaP-C) making it an attractive solution for modern airborne multi-function RF missions.
mmWave Wireless Power Transmission to Flexible Rectennas in Absorptive and Reflective Media

Millimeter-Wave (mmWave) wireless power transmission (WPT) can provide theoretical improvements to the end-to-end link efficiency compared sub-6 GHz bands. However, mmWave propagation in the WPT is yet to be explored. Herein, we present the first evaluation of a broadband mmWave rectenna on a lossy phantom based on radiation absorbing material (RAM). The ground reflection is observed over distance from a 20 dBi horn antenna with a 1 W input around 23 and 28 GHz, where the effect of multi-paths reflections is demonstrated and compared to a varying input from the generator. A DC power output over 10 µis measured at 15 cm from a 51 dBm source, showing the potential for meters-range mmWave wearable WPT with the licensed 5G 75 dBm EIRP levels. It is concluded that the electromagnetic (EM) environment and propagation media can have significant influences on mmWave WPT requiring novel signal and EM co-design.
A Novel Antenna Peaking Technique Using Machine Learning in Noisy Satellite Communication Channels

This paper introduces a novel approach to antenna tracking and pattern reconstruction using machine learning as demonstrated here using a single class support vector machine. It assumes a global estimation technique peaks a noisy main beam with finite pointing error but then the proposed method finetunes the peaking to produce the true beam maximum. The finetuning processes uses a u-v coordinate raster input to a single class support vector machine to classify an n-dB main beam contour and provide a true peak likelihood score therein (essentially filtering out the outlier noise). The results show a 97% improvement over picking the global maximum. The intention of the work is to provide a theoretical foundation from which an actual tracking algorithm could be based.
Near-Field Synthetic Aperture Radar Utilizing a Commercial V-Band MIMO Radar Sensor

Millimeter-wave imaging can provide visibility through multiple materials for security screening, non-destructive testing, and goods inspection. One traditional challenge with millimeter-wave imaging is associated with the high overall system cost due to the need for multi-element apertures. Recent advancements in radar technology have made multiple off-the-shelf radar boards available which can be used for millimeter-wave scanning of goods and security screening. In this paper we discuss a synthetic aperture radar architecture that scans a V-band multiple-input multiple-output (MIMO) radar in a small number of locations in space to synthesize a larger radar aperture. We show experimental measurements using a 20TX/20RX 62–69 GHz MIMO radar sensor.
Planar mmWave Traveling Wave Amplifier on GaN/AlGaN Heterostructure

We present a novel on-chip implementation of a traveling wave tube amplifier on GaN/AlGaN heterostructure. The device utilizes the coupling between drifting electrons in a two-dimensional electron gas (2DEG) substrate layer and that of an electromagnetic (EM) slow-wave circuit placed on top of the 2DEG to achieve amplification. Measurements are presented for validation. The applied voltage was 8 V and the gain was 2.3 dB at 80 GHz.
A Terahertz Photoconductive Antenna Design for Gain Enhancement Based on the Chinese Totem Tai-Chi

As a promising terahertz (THz) radiation source, the photoconductive antenna (PCA) is often used in investigating and analyzing THz applications. In this paper, a novel geometric structure of THz PCA is proposed. The design is composed of a gallium arsenide (GaAs) substrate and a silicon (Si) hyper hemispherical lens. Several existing PCA designs are compared and analyzed, showing that the directivity and gain of the proposed work are significantly improved in $1.5\sim 3.5 \ \text{THz}$, up to 15.45 dBi and 15.06 dBi. The design of electrodes and silicon hyper hemispherical lens are demonstrated in this paper. The proposed PCA is ideal for future THz wireless communication due to its great performance and simple structure.