Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFICIENT TASK OFFLOADING STRATEGY FOR LOW-ENERGY BASE STATION GROUPS IN MOBILE EDGE COMPUTING

The research on mobile edge computing generally ignores task energy control and optimization between base station groups. To solve this problem, this paper proposes a low-latency and eﬃcient task oﬄoading algorithm for low-energy base station groups. Firstly, the low-load base station group model and energy consumption model for edge devices are proposed, which focuses on how base stations handle tasks cooperatively in the group. Secondly, based on the division of base station group, a total energy model for computation and communication loss is established respectively. Then, we analyze energy consumption constraints and optimization goal, clarify the goal and evaluation indicators of oﬄoading tasks. Based on the game theory, a game model of the base station unloading task is established to meet the delay, load and interference constraints, and the updating process of the unloading algorithm is completed by iteration. Finally, experiments verify the convergence ability of the proposed algorithm compared with joint optimization and distributed oﬄoading strategies. The eﬀectiveness of the proposed algorithm is veri-ﬁed from the perspectives of long-term energy constraints, unit data transmission energy consumption, computing data size, number of edge devices and average system delay. Experiments show that the control algorithm proposed in this paper not only eﬀectively reduces the energy consumption of base station group, but also has good execution performance and convergence.
Experience and Abstraction: the Arts and the Logic of Machines

This paper is concerned with the nature of traditions of Arts practice with respect to computational practices and related value systems. At root, it concerns the relationship between the specificities of embodied materiality and aspirations to universality inherent in symbolic abstraction. This tension structures the contemporary academy, where embodied arts practices interface with traditions of logical, numerical and textual abstraction in the humanities and the sciences. The hardware/software binarism itself, and all that it entails, is nothing if not an implementation of the Cartesian dual. Inasmuch as these technologies reify that worldview, these values permeate their very fabric. Social and cultural practices, modes of production and consumption, inasmuch as they are situated and embodied, proclaim validities of specificity, situation and embodiment contrary to this order. Due to the economic and rhetorical force of the computer, the academic and popular discourses related to it, are persuasive.
Selected Topics: Oncological Emergencies ONCOLOGIC EMERGENCIES: PALLIATIVE CARE IN THE EMERGENCY DEPARTMENT SETTING

, Abstract—Background: Palliative care is an essential component of emergency medicine, as many patients with terminal illness will present to the emergency department (ED) for symptomatic management at the end of life (EOL). Objective: This narrative review evaluates palliative care in the ED, with a focus on the literature behindmanagement of EOL symptoms, especially dyspnea and cancerrelated pain. Discussion: As the population ages, increasing numbers of patients present to the ED with severe EOL symptoms. An understanding of the role of palliative care in the ED is crucial to effectively communicating with these patients to determine their goals and providemedical care in line with their wishes. Beneficence, nonmaleficence, and patient autonomy are essential components of palliative care. Patients without medical decision-making capacity may have an advance directive, do not resuscitate or do not intubate order, or Portable Medical Orders for Life-Sustaining Treatment available to assist clinicians. Effective and empathetic communication with patients and families is vital to EOL care discussions. Two of the most common and distressing symptoms at the EOL are dyspnea and pain. The most effective treatment of EOL dyspnea is opioids, with literature showing little efficacy for other therapies. The most effective treatment for cancer-related pain is opioids, with expeditious pain control achievable with a rapid fentanyl titration. It is also important to address nausea, vomiting, and secretions, as these are common at the EOL. Conclusions: Emergency clinicians play a vital role in EOL patient care. Clear, empathetic communication and treatment of EOL symptoms are essential. Published by Elsevier Inc.
Intransitivity on Paired-Comparisons Instruments : The Relationship of the Total Circular Triad Score to Stimulus Circular Triads

Intransitivity associated with the method of paired comparisons for scaling stimulus objects has been hypothesized in previous research to relate to the psychological and/or physical distance between stimulus objects. The purpose of the present study was to determine whether paired-comparisons intransitivity is a function of intransitivity associated with specific stimulus objects rather than a function of the entire set of stimulus objects. Three 190item, paired-comparisons instruments with diverse content (i.e., vocational needs, mate preferences, and food preferences) were designed to examine the relationship between Stimulus Circular Triads and the Total Circular Triad score and were administered to 276 high school and 358 college students. Results of univariate correlational analyses and multiple-regression techniques suggested that paired-comparisons intransitivity relates to individual differences variables associated with the respondent, although there were differences in the absolute level of intransitivity associated with each of the three sets of stimuli.
The Role of Emotion in Tourism Ethical Decision Making

Emotion is the most important element in the life of species on this earth. Research on animals and humans shows that emotional experiences facilitate the learning process and the experiences formation that are useful in anticipating future events. The emergence of threats or changes from the environment requires the anticipation of adaptive behavior. Emotions provide certain signals that cause the individual to avoid unpleasant consequences. The phenomenon of intuition, for example, has long been documented in ancient Greek writings, namely Phaedrus. In that work, Socrates, a famous Greek philosopher tells that he seemed to get his heart when he was about to make a mistake. By following his conscience, Socrates can avoid fatal mistakes. For humans, the unpleasant consequences of a decision are not only on physiological matters as is the case with animal species, but also include the social context. For example, conducting regulation of behavior so that it is always in accordance with the social norms of society. Thus, the emotional capacity is one of the assets that is useful in maintaining that individuals can always behave in a balanced way in society.
Effects of Fentanyl and Sufentanil on Hemodynamic Status Due to Endotracheal Intubation in Patients Undergoing Coronary-Artery-Bypass-Graft [CABG] surgery

Introduction: Hypertension usually begins 5 seconds after intubation and peaks within 1 to 2 minutes, returning to baseline after 5 to 10 minutes. Due to the importance of this issue in this study, we aimed to investigate the effect of fentanyl and sufentanil on hemodynamic responses during laryngoscopy and intubation in patients undergoing Coronary-Artery-Bypass-Graft [CABG] surgery. Material and Methods: This prospective descriptive study was performed during 2018 in Shahid Madani Hospital [Tabriz University of Medical Sciences] with the participation of 40 patients undergoing CABG surgery. Patients were injected with fentanyl or sufentanil before intubation and after 2 minutes of intubation. The response of blood pressure [systolic and diastolic] and HR to intubation were measured between the two groups. Results: The mean rate of change of the two groups was analyzed using repeated measures analysis of variance, which generally shows significant changes in the rate of change in HR per minute [p-value = 0.0001]. Also, there is no statistically significant difference in the rate of change in HR per minute between the two groups [p-value = 0.758] and it can be said that the two drugs did not have different effects. Conclusion: In general, no statistically significant differences were observed between the two drug groups. In fact, although both fentanyl and sufentanil modulated hemodynamic changes due to the cardiovascular response to intubation, no significant difference was observed between them in terms of drug effect.
Single Nucleotide Polymorphisms in MMPGenes and Susceptibility to Growth, Invasion, Progression, and Metastasis of Cancer

Majid Motovalibashi, Genetic Division, Department of Biology, Faculty of Sciences, Isfahan University, Isfahan, Iran, Tel: 37932288; Fax: 36688302; E-mail: mbashi@sci.ui. ac.ir Abstract The growth and progression of cancer are complex multi step processes that require transformed cells are colonized to distant locations. Degradation of Extracellular Matrix (ECM) and basement membrane by Matrix Metalloproteinases (MMPs) are key steps in these processes. Invasion and metastasis are symptoms of cancer malignancy.
Factors associated with iron deficiency and how they can be used in blood donor selection processes

Background and objectives: In an effort to improve donor health, we set out to investigate determi-nants other than blood donation that increase risk of ID in a healthy population and if they should be implemented into current blood donor selection processes. Methods: We systematically searched the PubMed, Ovid Medline and Scopus for articles related to ID. Results: Current evidence suggests that several determinants, including biological, environmental, lifestyle and socioeconomic factors increase the risk for ID. Conclusions: Heavy menstruation, use of some medications and dietary factors could potentially be implemented in donor selection, however further study is needed.
Prokaryotic expression, purification and evaluation of anti-cardiac fibrosis activity of recombinant TGF-β latency associated peptide

Background Cardiac fibrosis refers to the abnormal accumulation of extracellular matrix in the heart, which leads to the formation of cardiac scars. It causes systolic and diastolic dysfunction, and ultimately leads to cardiac dysfunction and arrhythmia. TGF-β1 is an important regulatory factor involved in cardiac fibrosis. Studies have shown that the N-terminal latency associated peptide (LAP) must be removed before TGF-β1 is activated. We hypothesize that recombinant LAP may inhibit cardiac fibrosis induced by TGF-β1. To evaluate anti-cardiac fibrosis activity of recombinant LAP, an experimental study was carried out and is reported here. Methods The pET28a-LAP plasmid was constructed and transformed into E. coli C43 (DE3) competent cells. The recombinant LAP protein was purified by Ni affinity chromatography. The cells were treated with TGF-β1 at different concentrations for 24 h. The expression of α-SMA was detected by Western blot. RTCA was used to detect the effect of recombinant LAP on the proliferation of H9C2 cells induced by 10 ng/mL TGF-β1. To detect the effect of LAP on the expression of fibrosis-related proteins, H9C2 cells were treated with 10 ng/mL TGF-β1 for 24 h, then added 60 μg/mL recombinant LAP for 48 h. The LAP group was treated with 60 μg/mL recombinant LAP alone. The LAP pre-protection group was treated with 10 ng/mL TGF-β1 and 60 μg/mL recombinant LAP at the same time. Western blot and immunofluorescence were used to detect the expression of α-SMA, collagen I and fibronectin and p-Smad2. Results The recombinant LAP was prokaryotic expressed and purified. 10 ng/mL was determined as the optimal working concentration of TGF-β1 to induce H9C2 cells fibrosis. RTCA results showed that 60 μg/mL LAP could effectively inhibit the proliferation of H9C2 cells induced by TGF-β1. Immunofluorescence results showed that compared with the control group, the fluorescence intensities of α-SMA, collagen I and FN increased significantly after TGF-β1 treatment. The fluorescence intensities in the TGF-β1+LAP group decreased significantly. Western blot results showed that 60 μg/mL LAP could inhibit the increase of α-SMA, collagen I and FN expression in H9C2 cells induced by TGF-β1. Compared with the control, the LAP alone group has no significant difference in α-SMA and p-Smad2 expression level. The expression of α-SMA and p-Smad2 in the TGF-β1 model group was significantly increased compared with the control group. Compared with the TGF-β1 group, both TGF-β1+LAP group and LAP pre-protection group significantly reduced the increase in α-SMA and p-Smad2 levels. Conclusions Recombinant LAP was prokaryotic expressed and purified. The results showed that recombinant LAP can inhibit the cell proliferation and expression increase of α-SMA, collagen I, fibronectin and p-Smad2 in H9C2 cells induced by TGF-β1. These results suggested that recombinant LAP might inhibit TGF-β1-induced fibrosis of H9C2 cells through the TGF-β/Smad pathway.
A Systematic Comparison of Architectures for Document-Level Sentiment Classification

Documents are composed of smaller pieces - paragraphs, sentences, and tokens - that have complex relationships between one another. Sentiment classification models that take into account the structure inherent in these documents have a theoretical advantage over those that do not. At the same time, transfer learning models based on language model pretraining have shown promise for document classification. However, these two paradigms have not been systematically compared and it is not clear under which circumstances one approach is better than the other. In this work we empirically compare hierarchical models and transfer learning for document-level sentiment classification. We show that non-trivial hierarchical models outperform previous baselines and transfer learning on document-level sentiment classification in five languages.
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties

At the high level, the fundamental differences between materials originate from the unique nature of the constituent chemical elements. Before specific differences emerge according to the precise ratios of elements (composition) in a given crystal structure (phase), the material can be represented by its phase field defined simply as the set of the constituent chemical elements. Classification of the materials at the level of their phase fields can accelerate materials discovery by selecting the elemental combinations that are likely to produce desirable functional properties in synthetically accessible materials. Here, we demonstrate that classification of the materials’ phase field with respect to the maximum expected value of a target functional property can be combined with the ranking of the materials’ synthetic accessibility. This end-to-end machine learning approach (PhaseSelect) first derives the atomic characteristics from the compositional environments in all computationally and experimentally explored materials, and then employs these characteristics to classify the phase field by their merit. PhaseSelect can quantify the materials’ potential at the level of the periodic table, which we demonstrate with significant accuracy for three avenues of materials’ applications: high-temperature superconducting, high-temperature magnetic and targetted energy band gap materials.
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge

This report provides a description of the methodology I used in the IEEE-CIS 3rd Technical Challenge. For the forecast, I used a quantile regression forest approach using the solar variables provided by the Bureau of Meterology of Australia (BOM) and many of the weather variables from the European Centre for Medium-Range Weather Forecasting (ECMWF). Groups of buildings and all of the solar instances were trained together as they were observed to be closely correlated over time. Other variables used included Fourier values based on hour of day and day of year, and binary variables for combinations of days of the week. The start dates for the time series were carefully tuned based on phase 1 and cleaning and thresholding was used to reduce the observed error rate for each time series. For the optimization, a four-step approach was used using the forecast developed. First, a mixed-integer program (MIP) was solved for the recurring and recurring plus once-off activities, then each of these was extended using a mixed-integer quadratic program (MIQP). The general strategy was chosen from one of two ("array"from the"array"and"tuples"approaches) while the specific step improvement strategy was chosen from one of five ("no forced discharge").
Observational constraints on the deceleration parameter in a tilted universe

We study a parametrization of the deceleration parameter in a tilted universe, namely a cosmological model equipped with two families of observers. The first family follows the smooth Hubble flow, while the second are the real observers residing in a typical galaxy inside a bulk flow and moving relative to the smooth Hubble expansion with finite peculiar velocity. We use the compilation of Type Ia Supernovae (SnIa) data, as described in the Pantheon dataset, to find the quality of fit to the data and study the redshift evolution of the deceleration parameter. In so doing, we consider two alternative scenarios, assuming that the bulk-flow observers live in the $\Lambda$CDM and in the Einstein-de Sitter universe. We show that a tilted Einstein-de Sitter model can reproduce the recent acceleration history of the universe, without the need of a cosmological constant or dark energy, by simply taking into account linear effects of peculiar motions. By means of a Markov Chain Monte Carlo (MCMC) method, we also constrain the magnitude and the uncertainties of the parameters of the two models. From our statistical analysis, we find that the tilted Einstein-de Sitter model, equipped with one or two additional parameters that describe the assumed large-scale velocity flows, performs similar to the standard $\Lambda$CDM paradigm in the context of model selection criteria (Akaike Information Criterion and Bayesian Information Criterion).
Gravitational Waves: The Theorist’s Swiss Knife

Gravitational waves provide a novel and powerful way to test astrophysical models of compact objects, early universe processes, beyond the Standard Model particle physics, dark matter candidates, Einstein’s theory of General Relativity and extended gravity models, and even quantum gravity candidate theories. A short introduction to the gravitational-wave background and the method we are using to detect it will be presented. Constraints on various astrophysical/cosmological models from the non-detectability of the gravitational-wave background will be discussed. Gravitational waves from transients will be highlighted and their physical implications will be summarised.
Automated Detection of Doxing on Twitter

Doxing refers to the practice of disclosing sensitive personal information about a person without their consent. This form of cyberbullying is an unpleasant and sometimes dangerous phenomenon for online social networks. Although prior work exists on automated identification of other types of cyberbullying, a need exists for methods capable of detecting doxing on Twitter specifically. We propose and evaluate a set of approaches for automatically detecting second- and third-party disclosures on Twitter of sensitive private information, a subset of which constitutes doxing. We summarize our findings of common intentions behind doxing episodes and compare nine different approaches for automated detection based on string-matching and one-hot encoded heuristics, as well as word and contextualized string embedding representations of tweets. We identify an approach providing 96.86% accuracy and 97.37% recall using contextualized string embeddings and conclude by discussing the practicality of our proposed methods.
Ising spin ladder with trimer rungs and next-nearest-neighbor coupling: frustration in physics and agent models

The extended model of two-leg Ising spin ladder with trimer rungs and next nearest neighbor interaction (NNN) in an external magnetic field is studied using the transfer matrix and linear renormalization group methods. In the standard version (with the same only nearest-neighbor interactions in both legs), such a ladder exhibits very interesting behavior—a frustration driven extremely sharp phase crossover at finite temperature that resembles a phase transition, impossible in one dimension. It is shown that in all considered cases with different interactions in each leg (asymmetric ladder), with NNN interactions and in the presence of small external field, such a crossover takes place when the point at which the effective interleg coupling vanishes coincides with the point at which the interleg correlation function exhibits an inflection point accompanied by the specific heat maximum. A hypothesis is formulated to describe an abrupt change in political view of the people where it is not necessary to resort to a concept of a phase transition, controversial for social systems. In some cases, this phenomenon can be understood as a phase crossover triggered by the level of frustration. The source of this frustration is proposed as an internal conflict between two areas of attitudes of the society members, personal and economic, which are shaped by personality traits possibly modified by life experience.
Optical force between two coupled identical parallel optical nanofibers

We study the optical force between two coupled parallel identical nanofibers using the rigorous array mode theory. We show that the forces of the even array modes are attractive, while the forces of the odd array modes are repulsive. We examine the dependencies of the optical forces on the array mode type, the fiber radius, the light wavelength, and the fiber separation distance. We show that, for a given power and a given separation distance, the absolute value of the force achieves a peak when the fiber radius and the light wavelength are appropriate.