Miracle-dz/UniFAR-FTUs huggingface dataset:
Yukawa unification in an SO(10) SUSY GUT: SUSY on the edge

In this paper we analyze Yukawa unification in a three family SO(10) SUSY GUT. We perform a global ${\ensuremath{\chi}}^{2}$ analysis and show that supersymmetry (SUSY) effects do not decouple even though the universal scalar mass parameter at the grand unified theory (GUT) scale, ${m}_{16}$, is found to lie between 15 and 30 TeV with the best fit given for ${m}_{16}\ensuremath{\approx}25\text{ }\text{ }\mathrm{TeV}$. Note, SUSY effects do not decouple since stops and bottoms have mass of order 5 TeV, due to renormalization group running from ${M}_{\mathrm{GUT}}$. The model has many testable predictions. Gauginos are the lightest sparticles and the light Higgs boson is very much standard model-like. The model is consistent with flavor and $CP$ observables with the $\mathrm{BR}(\ensuremath{\mu}\ensuremath{\rightarrow}e\ensuremath{\gamma})$ close to the experimental upper bound. With such a large value of ${m}_{16}$ we clearly cannot be considered ``natural'' SUSY nor are we ``split'' SUSY. We are thus in the region in between or ``SUSY on the edge. ''
Computer Assisted Second Language Vocabulary Acquisition

During the initial stages of instructed L2 acquisition students learn a couple thousand, mainly high frequency words. Functional language proficiency, however, requires mastery of a considerably larger number of words. It is therefore necessary at the intermediate and advanced stages of language acquisition to learn a large vocabulary in a short period of time. There is not enough time to copy the natural (largely incidental) L1 word acquisition process. Incidental acquisition of the words is only possible up to a point, because, on account of their low frequency, they do not occur often enough in the L2 learning material. Acquisition of new words from authentic L2 reading texts by means of strategies such as contextual deduction is also not a solution for a number of reasons. There appears to be no alternative to intentional learning of a great many new words in a relatively short period of time. The words to be learned may be presented in isolation or in context. Presentation in bilingual word lists seems an attractive shortcut because it takes less time than contextual presentation and yields excellent short term results. Long term retention, however, is often disappointing so contextual presentation seems advisable. Any suggestions how to implement this in pedagogic contexts should be based on a systematic analysis of the two most important aspects of the L2 word learning problem, that is to say, selecting the relevant vocabulary (which and how many words) and creating optimal conditions for the acquisition process. This article sets out to describe a computer assisted word acquisition programme (CAVOCA) which tries to do precisely this: the programme operationalises current theoretical thinking about word acquisition, and its contents are based on a systematic inventory of the vocabulary relevant for the target group. To establish its efficiency, the programme was contrasted in a number of experimental settings with a paired associates method of learning new words. The experimental results suggest that an approach combining the two methods is most advisable.
The sounds of the world's languages

List of Figures. List of Tables. Acknowledgments. 1. The Sounds of the Worlda s Languages. 2. Places of Articulation. 3. Stops. 4. Nasals and Nasalized Consonants. 5. Fricatives. 6. Laterals. 7. Rhotics. 8. Clicks. 9. Vowels. 10. Multiple Articulatory Gestures. References. Index.
Handbook of Holistic Neuropsychological Rehabilitation: Outpatient Rehabilitation of Traumatic Brain Injury

Introduction 1. Evolution of Psychological Interventions in Rehabilitation 2. Essentials of Holistic Neuropsychological Rehabilitation 3. Elements of a Treatment Cycle 4. Clinical Illustrations 5. Assembling and Training the Professional Staff 6. Identifying and Assessing Potential Program Trainees 7. Starting a Treatment Cycle 8. Exploiting the "Halo" Effects from Professional Visits 9. Fostering Awareness and Self-Understanding 10. Facilitating Compensation in the Cognitive Domains of Functioning 11. Contributions of Significant Others 12. Managing Interferences with the Treatment Process 13. Questions We Are Frequently Asked Selected References Index
FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning

To understand how the human brain works, neuroscientists heavily rely on brain simulations which incorporate the concept of time to their operating model. In the simulations, neurons transmit their signals through synapses whose weights change over time and by the activity of the associated neurons. Such changes in synaptic weights, known as learning, are thought to contribute to memory, and various learning rules exist to model different behaviors of the human brain. Due to the diverse neurons and learning rules, neuroscientists perform the simulations using highly programmable general-purpose processors. Unfortunately, the processors greatly suffer from the high computational overheads of the learning rules. As an alternative, brain simulation accelerators achieve orders of magnitude higher performance; however, they have limited flexibility and cannot support the diverse neurons and learning rules. In this paper, we present FlexLearn, a flexible on-chip learning engine to enable fast and highly efficient brain simulations. FlexLearn achieves high flexibility by supporting diverse biologically plausible sub-rules which can be combined to simulate various target learning rules. To design FlexLearn, we first identify 17 representative sub-rules which adjust the synaptic weights in different manners. Then, we design and compact the specialized datapaths for the sub-rules and identify dependencies between them to maximize parallelism. After that, we present an example flexible brain simulation processor by integrating the datapaths with the state-of-the-art flexible digital neuron and existing accelerator to support end-to-end simulations. Our evaluation using a 45-nm cell library shows that the 128-core brain simulation processor prototype with FlexLearn greatly improves the harmonic mean per-area performance and the energy efficiency by 30.07× and 126.87×, respectively, over the server-class CPU. The prototype also achieves the harmonic mean per-area speedup of 1.41× over the current state-of-the-art 128-core accelerator which supports programmable learning rules.
The Korean language version of Stroke Impact Scale 3.0: Cross-cultural adaptation and translation

PURPOSE:Stoke is one of most common disabling conditions and it is still lacking of measuring patient’s functioning level. The aim of the study was to develop Korean language version of stroke impact scale 3.0. METHODS:Korean version of stroke impact scale 3.0 was developed in idiomatic modern Korean with a standard protocol of multiple forward and backward translations and an expert reviews to achieve equivalence with the original English version. Interviews with clinicians who were currently managing patients with stroke were also conductedfor language evaluation. A reliability test was performed to make final adaptation using a pre-final version. To assess the reliability of the translated questionnaire, the intraclass correlation coefficient (ICC) was calculated for each domainof the scale. RESULTS:Thirty subjects (16 male, 14 female) aged from20 to 75 years old participated to review the translated questionnaire. Reliability of each domain of the questionnaire was found to be good in strength (ICC=0.74), ADL (ICC=0.81),
Atomic charges, bond properties, and molecular energies

Preface. I. CHARGE DISTRIBUTIONS. 1. Introduction. 1.1 The Bond Energy Model. 1.2 Scope. 2. Theoretical Background. 2.1 The Hartree -Fock Approximation. 2.2 Hartree -Fock -Roothaan Orbitals. 2.3 Configuration Interaction Calculations. 3. Core and Valence Electrons. 3.1 Introduction. 3.2 Atomic Core and Valence Regions. 3.3 The Valence Region Energy of Atoms. 3.4 Summary. 4. The Valence Region of Molecules. 4.1 Model. 4.2 The Core -Valence Separation in Real Space. 4.3 Formula for the Valence -Region Energy. 4.4 Interface with the Orbital Model. 4.5 Approximation for the Valence Energy. 4.6 Perturbation of the Valence Region. 4.7 Summary. 5. Inductive Effects Atomic Charges. 5.1 Introduction. 5.2 The Inductive Effects. 5.3 Meaningful Atomic Charges. 5.4 Selected Reference Net Atomic Charges. 6. Atomic Charges and NMR Shifts. 6.1 Scope. 6.2 Introduction. 6.3 Merits of Charge -Shift Relationships. 6.4 Aromatic Hydrocarbons. 6.5 Relationships Involving sp3 Carbon Atoms. 6.6 Relationships Involving Olefinic Carbons. 6.7 Carbon Bonded to Nitrogen or Oxygen. 6.8 Correlations Involving N-15 NMR Shifts. 6.9 Correlations Involving O-17 Atoms. 6.10 Summary. 7. Charges and Ionization Potentials. 7.1 Conclusion. 8. Population Analysis. 8.1 The Standard Mulliken Formula. 8.2 Modified Population Analysis. 8.3 An Adequate Approximation. 8.4 Conclusions. II. CHEMICAL BONDS. ENERGY CALCULATIONS. 9. Thermochemical Formulas. 9.1 Basic Formulas. 9.2 Zero -Point and Heat -Content Energies. 9.3 Concluding Remarks. 10. The Chemical Bond: Theory (I). 10.1 Synopsis. 10.2 Nonbonded Interactions. 10.3 Reference Bonds. 10.4 Bond Energy: Working Formulas. 10.5 Basic Theoretical Parameters. 10.6 Saturated Molecules. 11. The Chemical Bond: Theory (II). 11.1 Valence Atomic Orbital Centroids. 11.2 Unsaturated Systems. 11.3 Recapitulation. 12. Bond Dissociation Energies. 12.1 Scope. 12.2 Theory. 12.3 Nonbonded Interactions. 12.4 Selected Reorganizational Energies. 12.5 Applications. 12.6 Conclusion. III. APPLICATIONS. 13. Saturated Hydrocarbons. 13.1 Acyclic Alkanes. 13.2 Cycloalkanes. 14. Unsaturated Hydrocarbons. 14.1 Olefins. 14.2 Aromatic Molecules. 15. Nitrogen -Containing Molecules. 15.1 Amines: Charges of the Carbon Atoms. 15.2 Nitrogen Charges and Bond Energies. 15.3 Results. 16. Oxygen Containing Molecules. 16.1 Ethers. 16.2 Alcohols. 16.3 Carbonyl Compounds. 17. Perspectives.
Invertible DNN-Based Nonlinear Time-Frequency Transform for Speech Enhancement

We propose an end-to-end speech enhancement method with trainable time-frequency (T-F) transform based on invertible deep neural network (DNN). The resent development of speech enhancement is brought by using DNN. The ordinary DNN-based speech enhancement employs T-F transform, typically the short-time Fourier transform (STFT), and estimates a T-F mask using DNN. On the other hand, some methods have considered end-to-end networks which directly estimate the enhanced signals without T-F transform. While end-to-end methods have shown promising results, they are black boxes and hard to understand. Therefore, some end-to-end methods used a DNN to learn the linear T-F transform which is much easier to understand. However, the learned transform may not have a property important for ordinary signal processing. In this paper, as the important property of the T-F transform, perfect reconstruction is considered. An invertible nonlinear T-F transform is constructed by DNNs and learned from data so that the obtained transform is perfectly reconstructing filterbank.
Nurses’ perceptions of dirt and contagion: Does the work environment pose a greater threat than one’s own home?

The aim of this study was to understand nurses’ infection prevention behaviours in the acute hospital setting by eliciting their explanations of observed behaviour. It sought to identify perceptions of risk from infection within their work environment and their homes, the practices carried out to avoid these risks, and the factors that influence behaviour. Twenty semi-structured interviews, using a topic guide and vignettes, were conducted with Registered Nurses. Interviews were audio recorded and transcribed verbatim. Three main themes of ‘Rationalising dirt related behaviour’, ‘Protection from dirt’ and ‘Transitions and journeys: no place like home’ emerged following data analysis using a framework method. This paper presents the theme ‘Transitions and journeys: no place like home’, which has two components: ‘Where is the dirt? ’ and ‘Practice and rituals’. The findings demonstrate that dirt and germs present in hospitals represent a higher risk than those in the home. Healthcare workers can take measures to mitigate this risk; however, on leaving the workplace perception of self does not change significantly until they arrive home. At this point a transition occurs; they now recognise the risk they may pose and practices and rituals are required in order to protect the home. The findings demonstrate the multifaceted nature of infection prevention beliefs and behaviours. Behaviour is influenced by knowledge, belief systems and the circumstances of the situation. People see themselves positioned differently within the environment depending on the context of the risk; they can either be at risk or be the cause of the risk.
The HERO Health and Well-Being Best Practices Scorecard in Collaboration With Mercer (HERO Scorecard)

health conditions. J Occup Environ Med. 2013;55(5):520-526. 3. Roemer EC, Kent KB, Mummert A, et al. Validity and reliability of the updated CDC Worksite Health ScoreCard. J Occup Environ Med. 2019;61(9):767-767. 4. Centers for Disease Control and Prevention. CDC Workplace Health Resource Center. Atlanta, GA: US De Department of Health and Human Services; 2019. https://www.cdc. gov/workpla cehealthpromotion/initiatives/resource-center/index.html. Accessed October 21, 2019. 5. Matson-Koffman DM, Lang JE, Chosewood LC. CDC resources, tools, and programs for health promotion in the worksite. Am J Health Promot. 2013;28(2):TAHP1-TAHP12. 6. Lang JE. Using employer case studies to highlight best practices and tailored strategies to build comprehensive workplace health programs. Am J Health Promot. 2017;31(1):79-88. 7. Lang J, Cluff L, Payne J, Matson-Koffman D, Hampton J. The centers for disease control and prevention: findings from the National Healthy Worksite Program. J Occup Environ Med. 2017;59(7):631-641. 8. Payne J, Cluff L, Lang J, Matson-Koffman D, Morgan-Lopez A. Elements of a workplace culture of health, perceived organizational support for health, and lifestyle risk. Am J Health Promot. 2018;32(7):1555-1567. 9. Cluff L, Lang J, Rineer J, Jones-Jack NH, Strazza KM. Training employers to implement health promotion programs: results from the CDC Work@Health Program. Am J Health Promot. 2018; 32(4):1062-1069. 10. Safeer R, Bowen W, Maung Z, Lucik M. Using the CDC Worksite Health ScoreCard to assess employer health promotion efforts: a case study at Johns Hopkins Medicine. J Occup Environ Med. 2018;60(2):e98-e105. 11. Meador A, Lang JE, Davis WD, et al. Comparing 2 national organization-level workplace health promotion and improvement tools, 2013–2015. Prev Chronic Dis. 2016;13:E136. 12. Linnan LA, Cluff L, Lang JE, Penne M, Leff MS. Results of the workplace health in America survey. Am J Health Promot. 2019; 33(5):652-665. 13. Soárez PC, Ciconelli RM, Pavin T, Ogata AJ, Curci KA, Oliveira MR. Cross-cultural adaptation of the CDC Worksite Health ScoreCard questionnaire into Portuguese. Rev Assoc Med Bras. 2016; 62(3):236-242. 14. Yun YH, Sim JH, Lim YJ, et al. Development and validity testing of the worksite health index: an assessment tool to help and improve Korean employee’ health-related outcomes. J Occup Environ Med. 2016;58(6):623-630.
Workplace Empowerment, Burnout, and Job Satisfaction Among Nursing Faculty Members: Testing Kanter’s theory

Aims: Identify the level and the relationship of Nurse Faculty workplace empowerment, burnout and job satisfaction utilizing Kanter’s Theory among Oman College of Health Sciences Nursing faculty members. Methods: The study is a quantitative descriptive correlational study. The study utilized online survey tools for self-assessment and evaluation the study explored on the level of empowerment, burnout and job satisfaction among nursing faculty members. IRB-MOH/CSR/17/589 approval sought from Center for research studies & Research and Ethics Review & Approval Committee (RERAC). Nurse Educators around the sultanate the sample consisted of one hundred forty two (142) faculty member and working in Oman College of Health Sciences who met the inclusion and exclusion criteria were the target of the study. Result: The nursing faculty members from Oman reported moderate levels of empowerment, job satisfaction and burnout in their respective branches. There was a significant correlation between structural empowerment and job satisfaction (r=0.603, p<0.01) or burnout (r=0.718, p<0.01). The computed value of r reveals a strong positive correlation. Moreover, the result also shows that there was a significant positive correlation between job satisfaction and burnout (r=0.759, p<0.01). However, since higher informal power indicates lesser stress then this reveals an inverse strong correlation between the two variables. Conclusion: The end result provides confirmation for Kanter’s organizational support theory in the Oman College of Health Science branches population. Greater levels of empowerment were concomitant with lesser levels of burnout and greater work satisfaction. Implication for Nursing Management: Nursing education leaders are a key in aligning the support and services in colleges and nursing educational institutions in the provision of a more empowering environment and stress free workplaces.
A Survey on Design and Performance of Higher-Order QAM Constellations

As the research on beyond 5G heats up, we survey and explore power and bandwidth efficient modulation schemes in details. In the existing publications and in various communication standards, initially square quadrature amplitude modulation (SQAM) constellations (even power of 2) were considered. However, only the square constellations are not efficient for varying channel conditions and rate requirements, and hence, odd power of 2 constellations were introduced. For odd power of 2 constellations, rectangular QAM (RQAM) is commonly used. However, RQAM is not a good choice due to its lower power efficiency, and a modified cross QAM (XQAM) constellation is preferred as it provides improved power efficiency over RQAM due to its energy efficient two dimensional (2D) structure. The increasing demand for high data-rates has further encouraged the research towards more compact 2D constellations which lead to hexagonal lattice structure based constellations, referred to as hexagonal QAM (HQAM). In this work, various QAM constellations are discussed and detailed study of star QAM, XQAM, and HQAM constellations is presented. Generation, peak and average energies, peak-to-average-power ratio, symbol-error-rate, decision boundaries, bit mapping, Gray code penalty, and bit-error-rate of star QAM, XQAM, and HQAM constellations with different constellation orders are presented. Finally, a comparative study of various QAM constellations is presented which justifies the supremacy of HQAM over other QAM constellations. With this, it can be claimed that the use of the HQAM in various wireless communication systems and standards can further improve the performance targeted for beyond 5G wireless communication systems.
Automated Discovery of Long Intergenic RNAs Associated with Breast Cancer Progression

Abstract : Of the 40,000 women in the United States that die from breast cancer every year, almost half of them might have once thought they were cured. While treatment of early stage breast cancer can be curative, up to 30% of node-negative and 70% of nodepositive breast cancers will relapse. Therefore, risk stratification and surveillance of breast cancer is of paramount importance. Prognostic markers such as estrogen and progesterone receptor, ERBB2, and comedo necrosis currently guide clinical decisions, but these markers often fail to estimate the true risk of relapse for many patients. This results in frequent overtreatment of indolent cancer and undertreatment of high-risk disease. Over the past decade gene expression microarrays have facilitated the development of prognostic tests, but Next Generation Sequencing of cancer transcriptomes (RNA-seq) technologies can provide more information at higher accuracy. However, current RNA-seq analysis tools cannot resolve a significant portion of the data emanating from cancer transcriptomes, and it is precisely this data that could lead to the discovery of novel genetic aberrations and/or therapeutic targets. Therefore, we hypothesize that transcriptome sequencing can elucidate novel transcriptional aberrancies in breast cancer that may affect or predict disease prognosis. We will test this hypothesis with the following specific aims: 1) we will employ a combined alignment and assembly approach to increase the sensitivity of current analysis methods, 2) use this approach to detect novel transcriptional aberrancies in breast cancer, and 3) predict functional relationships between novel transcripts and known prognostic markers. Methods to detect and characterize these transcripts could lead to discovery of oncogenic mutations, delineate new molecular subtypes of breast cancer, and/or identify novel therapeutic targets for breast cancer treatment.
The formation of non‐anadromous populations of Atlantic salmon, Salmon salar L., in Europe

Comparison of the different populations of non-anadromous Atlantic salmon in Europe has revealed some common traits. The non-anadromous populations probably became isolated from the anadromous salmon populations during a period of rapid land-upheaval after the last ice age, about 10 000 years ago. The oceanic temperature in the eastern part of the Atlantic was especially low in this period. This probably diminished the advantage gained from the anadromous habit. During this period the low temperatures in the rivers probably increased the frequency of females which matured without migrating seawards. A large number of individuals in the different populations seems to have been favourable for the formation and survival of such races. The occurrence of a lake in such a river system would probably ease the transition to non-anadromous behaviour, because the salmon would not then be forced to adjust its entire life-history when isolated (the salmon could spawn in the river in the usual manner and the smolts then migrate downstream into lakes). Larger lakes would also seem to infer problems for the navigation of the smolts towards the outlet. The only known exception is the river-living land-locked salmon population found in the River Namsen, Norway. The factors mentioned above have led to an increase in the probability of occurrence and thriving of mature females without a sea migration or to a decrease in the competitive advantage of anadromous behaviour. The above mentioned similarities can explain the seemingly casual distribution of the non-anadromous populations of Atlantic salmon in Europe.