Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis

The problem is to find a method to predict the two-hour price of cryptocurrencies on the basis of the Social Factors, which are increasingly used for online transactions worldwide. The few previous methods proposed to predict price of cryptocurrency are inefficient because they fail to take into consideration the differences in the attributes between real currencies and cryptocurrencies. In this paper, we focus on two cryptocurrencies, namely Bitcoin and Litecoin, each with a large market size and user base, and attempt to predict their future prices using multi-linear regression model.
On the DoF of Two-Way $2\times 2\times 2$  MIMO Relay Networks

This paper studies the degrees of freedom (DoF) of two-way <inline-formula><tex-math notation="LaTeX">$2\times 2\times 2$</tex-math></inline-formula> MIMO interference networks, a class of two-way four-unicast networks. We first provide upper and lower bounds on the sum DoF of general two-way <inline-formula><tex-math notation="LaTeX">$2\times 2\times 2$</tex-math></inline-formula> MIMO interference networks with any number of antennas in each node. We then investigate the special case where all user nodes have <inline-formula><tex-math notation="LaTeX">$M$</tex-math> </inline-formula> antennas and relay nodes have <inline-formula><tex-math notation="LaTeX">$N$</tex-math> </inline-formula> antennas, and provide the simplified bounds on the sum DoF. We show that our proposed achievable rate for this special case is higher than the achievable rates recently proposed in <xref ref-type="bibr" rid="ref1">[1] </xref>. Moreover, for this special case, we obtain the exact DoF <inline-formula><tex-math notation="LaTeX">$=4M$ </tex-math></inline-formula> when <inline-formula><tex-math notation="LaTeX">$N \geq 2M$</tex-math></inline-formula>, and DoF <inline-formula><tex-math notation="LaTeX">$=4N$</tex-math></inline-formula> when <inline-formula> <tex-math notation="LaTeX">$M \leq 2N$</tex-math></inline-formula>.
A Randomized Controlled Trial Comparing Telehealth Self-Management to Standard Outpatient Management in Underserved Black and Hispanic Patients Living with Heart Failure

Abstract Background: Although the American Heart Association promotes telehealth models to improve care access, there is limited literature on its use in underserved populations. This study is the first to compare utilization and quality of life (QoL) for underserved black and Hispanic heart failure (HF) patients assigned to telehealth self-monitoring (TSM) or comprehensive outpatient management (COM) over 90 days. Methods: This randomized controlled trial enrolled 104 patients. Outcomes included emergency department (ED) visits, hospitalizations, QoL, depression, and anxiety. Binary outcomes for utilization were analyzed using chi-square or Fisher's exact test. Poisson or negative binomial regression, repeated-measures analysis of variance, or generalized estimating equations were also used as appropriate. Results: Of 104 patients, 31% were Hispanic, 69% black, 41% women, and 72% reported incomes of <$10,000/year. Groups did not differ regarding binary ED visits (relative risk [RR] = 1.37, confidence interval [CI] = 0.83–2.27), hospitalization (RR = 0.92, CI = 0.57–1.48), or length of stay in days (TSM = 0.54 vs. COM = 0.91). Number of all-cause hospitalizations was significantly lower for COM (TSM = 0.78 vs. COM = 0.55; p = 0.03). COM patients reported greater anxiety reduction from baseline to 90 days (TSM = 50–28%; COM = 57–13%; p = 0.05). Conclusions: These findings suggest that TSM is not effective in reducing utilization or improving QoL for underserved patients with HF. Future studies are needed to determine whether TSM can be effective for populations facing health care access issues.
Crosstalk of mTOR/PKM2 and STAT3/c‐Myc signaling pathways regulate the energy metabolism and acidic microenvironment of gastric cancer

Cancer cells consume large amounts of glucose to produce lactate, even in the presence of ample oxygen. This phenomenon is called the Warburg effect. c‐Myc is an important member of the Myc gene family and is involved in the development of various tumors. It plays an important role in the regulation of tumor energy metabolism, which can regulate glycolysis to promote the Warburg effect in a tumor. Our study aimed to improve the malignant biological behavior by controlling the energy metabolism of gastric cancer through the mTOR/PKM2 and signal transduction and activator 3 (STAT3)/c‐Myc signaling pathways through a series of in vitro experiments. Human gastric cancer AGS and HGC‐27 cells were treated with PKM2 and c‐Myc lentivirus, and the effects of the knockdown of PKM2 and/or c‐Myc were analyzed on cell proliferation, cell apoptosis, the ability of cell migration, and the growth signaling pathway in vitro. The expressions of PKM2, c‐Myc, LDHA, STAT3, P‐STAT3, GLUT‐1 gene were identified by the quantitative real‐time polymerase chain reaction and Western blot analysis. Lactate and glucose levels were tested by the corresponding kit. Our findings showed that PKM2 and c‐Myc were upregulated in human gastric cancer. Knockdown of c‐Myc in gastric cancer cells suppressed cell proliferation capacity and glycolysis level, and the inhibitory effects on gastric cancer cells upon co‐knockdown of PKM2 and c‐Myc were more obvious compared with knockout of PKM2 or c‐Myc alone. And there was a correlation between the mTOR/PKM2 and the STAT3/c‐Myc signaling pathways. Our results suggested that c‐Myc might be considered a potential therapeutic target for gastric cancer and PKM2 combined with c‐Myc could better inhibit the malignant biological behaviors of gastric cancer.
Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition

The development of suitable EEG-based emotion recognition systems has become a main target in the last decades for Brain Computer Interface applications (BCI). However, there are scarce algorithms and procedures for real-time classification of emotions. The present study aims to investigate the feasibility of real-time emotion recognition implementation by the selection of parameters such as the appropriate time window segmentation and target bandwidths and cortical regions. We recorded the EEG-neural activity of 24 participants while they were looking and listening to an audiovisual database composed of positive and negative emotional video clips. We tested 12 different temporal window sizes, 6 ranges of frequency bands and 60 electrodes located along the entire scalp. Our results showed a correct classification of 86.96% for positive stimuli. The correct classification for negative stimuli was a little bit less (80.88%). The best time window size, from the tested 1 s to 12 s segments, was 12 s. Although more studies are still needed, these preliminary results provide a reliable way to develop accurate EEG-based emotion classification.
Heuristic Based Ex-FTCD Algorithm for Incremental Path Finding in Dynamic Graphs

The data when modeled as a graph can bring out a lot of useful information. Path finding is one of the most popular applications of network analysis. As the data evolution speed from various sources has grown tremendously, the need for incremental mining is on high demand. Algorithms that compute the shortest path on dynamically changing data needs to be designed. In this paper, we propose a fully dynamic scalable and parallelizable method for finding the all pair shortest path. The work includes computation of the dynamic shortest on network modifications like edge insertion, edge deletion and weight updation, and eliminates recomputing from the scratch. The concept of exact heuristics is applied in the results obtained from the actual network. Validity and efficiency of the proposed method is proved using synthetically generated as well as real world networks.
IT Consumerization and the Transformation of IT Governance

IT governance describes the decision rights and accountability framework used to ensure the alignment of IT-related activities with the organization’s strategy and objectives. Conversely, IT consumerization refers to the process whereby the changing practices and expectations of consumers influence the IT-related activities of workers and managers in organizations. We propose that IT consumerization not only challenges the foundations of IT governance but ultimately also transforms it. To explore this research problem, we utilize the punctuated equilibrium theory and a case study of IT consumerization and the transformation of IT governance in a large global bank. Our findings suggest that the widespread adoption of digital technology in everyday life leads to “everyone’s IT,” which is a new set of shared beliefs among consumers that highlights democratized access and individualized use of IT. As everyone’s IT beliefs begin to alter the IT-related activities of workers, the result is IT governance misalignments that ultimately lead to a punctuated transformation of IT governance that dismantles functional IT governance. The establishment of platform-based governance marks a new equilibrium period. Our mid-range theory contributes to the IS domain with the novel concept of everyone’s IT and a grounded explanation of IT governance transformation in the context of IT consumerization. Our theory offers a set of significant research and practical implications.
Accurate Robustness Assessment of HDL Models Through Iterative Statistical Fault Injection

Simulation-based fault injection is commonly used to assess the robustness of hardware components modelled using Hardware Description Languages (HDL). The current complexity of modern circuits usually makes not feasible the consideration of all possible combinations of fault models, targets, and times. By assuming a confidence interval and error margin, statistical fault injection exploits the principle of statistical sampling to reduce the number of experiments while keeping the results representative of the whole population of fault injections. Since the percentage of injected faults leading to failure is a priori unknown, such number of experiments is usually determined by selecting the value maximizing the sample size. This paper argues that this conservative assumption leads to a worst-case scenario that can be improved. The proposal relies on an iterative algorithm that progressively adjust the number of experiments by estimating the percentage of those leading to failure and the error of the estimation. The considered case study illustrates the feasibility and usefulness of the proposal through the robustness assessment of the LEON3 microprocessor model. Beyond that example, this research provides new means to decide when to stop a fault injection campaign and to estimate the error existing in the results finally reported.
Hermes: Utility-Aware Network Update in Software-Defined WANs

State-of-the-art inter-datacenter WANs rely on software defined networking (SDN) to orchestrate their data transmission. Optimization requires frequent network update operations to switch forwarding tables. When scheduling inter-datacenter WANs, the utility of services should be respected. Yet, existing network update approaches do not respect network utility and could result in performance degradation during the network update procedure. Further, the update causes not only performance degradation, but also the degradation period is unnecessarily prolonged. In this paper we propose Hermes, a utility-aware network update system. We aim to find a rate limiting scheme for update which maximizes the sum of service utility, while ensuring the congestion-free property during the update. We propose an optimization framework for the maximum utility network update problem (MUP). MUP is NP-hard and a series of algorithms are developed to solve it. Extensive simulation and testbed experiments with a prototype demonstrate that Hermes can increase the total utility by 80% compared to state-of-the-art. At the same time, it reduces the total update time and control overhead by 40% and 55%, respectively.
A Hybrid Filter-Wrapper Gene Selection Method for Cancer Classification

The advent of DNA microarray technology has paved the way to providing increased opportunities to the molecular biologists to analyze the expression level of thousands of genes (features) in one experiment. The gene expression level provides the possibility of diagnosing various diseases such as cancer. In this regard, several computational techniques such as pattern classification approaches can be applied. However, the existence of a huge quantity of genes and very few patients' samples available hinders the classifier or machine learning techniques from producing accurate classification results. Most of these genes are irrelevant and redundant, which may deteriorate the classification performance. Therefore, gene selection is needed to select the most relevant genes. This paper proposes hybrid filter-wrapper gene selection method using Minimum Redundancy Maximum Relevancy (MRMR) as the filter approach and flower pollination algorithm (FPA) as the wrapper approach. MRMR was used to find the most important genes from all genes in the gene expression data, and FPA is employed in order to locate the most informative gene subset from the reduce set that obtained by MRMR. To test the accuracy and performance of the study's proposed method, extensive experiments are conducted and three microarray datasets are used. They include Colon, Breast, and Ovarian. A similar procedure has been performed on the Genetic algorithm (GA) in comparison with the proposed method (MRMR-FPA) in this study. The results concluded that the MRMR-FPA can be used as an alternative method to address the gene selection problem.
RPC: Joint Online Reducer Placement and Coflow Bandwidth Scheduling for Clusters

Reducing Coflow Completion Time (CCT) has a significant impact on application performance in data-parallel frameworks. Most existing works assume that the endpoints of constituent flows in each coflow are predetermined. We argue that CCT can be further optimized by treating flows' destinations as an additional optimization dimension via reducer placement. In this paper, we propose and implement RPC, a joint online Reducer Placement and Coflow bandwidth scheduling framework, to minimize the average CCT in cloud clusters. We first develop a 2-approximation algorithm to minimize the CCT of a single coflow, then schedule all the coflows following the Shortest Remaining Time First (SRTF) principle. We use a real testbed implementation and extensive large-scale simulations to demonstrate that RPC can reduce the average CCT by 64.98% compared with state-of-the-art technologies.
Changes in knee extensor strengths before and after medial patellofemoral ligament reconstruction

ABSTRACT Objective: Quadriceps dysfunction has been suggested as a complication after medial patellofemoral ligament (MPFL) reconstruction. The purpose of this study was to investigate changes in knee extensor strength before and after MPFL reconstruction. Methods: Twenty patients who underwent MPFL reconstruction for unilateral recurrent patellar dislocation (18 females and 2 males; mean age 20.8 ± 7.6 years) were examined. The peak isometric torque at 60° and 90° of knee flexion and isokinetic knee extensor strength at speeds of 60°/s and 90°/s in operated and non-operated legs were measured using a dynamometer preoperatively and 6 months, 1 year, and 2 years postoperatively. The following parameters were evaluated: (1) body weight-adjusted muscle strength, (2) improvement index (post-/preoperative value × 100) (%), and (3) extensor strength ratio (operated/non-operated value × 100) (%). Results: The mean knee extensor strength in both operated and non-operated legs significantly increased 2 years after surgery compared with that before surgery. At 2 years postoperatively, the improvement indexes of the isometric knee extensor strength at 60° and 90° and of the isokinetic knee extensor strength at 60°/s and 90°/s were 237%, 192%, 318%, and 186%, respectively, in the operated legs and 144%, 124%, 140%, and 140%, respectively, in the non-operated legs. At 2 years postoperatively, the mean isometric knee extensor strength ratios at 60° and 90° and the isokinetic knee extensor strength ratios at 60°/s and 180°/s were 81%, 84%, 81%, and 82%, respectively. Conclusions: Knee extensor strength was improved in most patients after MPFL reconstruction, at least compared with that before surgery, although an approximately 20% deficit against the non-operated legs remained even 2 years after surgery.
Measurements of complex permittivity and permeability in the GHz range of magnetotactic bacteria suspensions

Magnetotactic bacteria (MTB) cells contain chains of magnetosomes, which are magnetite nanocrystals enveloped in a lipid bilayer. A water-based suspension of cultured MTB was prepared and the electric and magnetic properties were measured by two methods: a reflection method using an open-ended coaxial probe (0.5-50 GHz) and a transmission method using a rectangular waveguide (8.2-12.4 GHz). Based on the very good agreement obtained for the measured complex permittivity of a saline solution with data in the literature, we report here the results of both the complex permittivity and permeability of a suspension of cultured MTB.
Brain-Derived Neurotrophic Factor and Its Associations with Metabolism and Physical Activity in a Latino Sample

Abstract Background: Brain-derived neurotrophic factor (BDNF) is associated with body weight and other health conditions but remains understudied in the Latino population. The aim of this study was to examine the associations of BDNF serum levels with body mass index (BMI), physical activity, and the rs6265 nonconservative polymorphism among 349 Latinos aged ≥18 years enrolled in the Arizona Insulin Resistance Registry. Materials and Methods: Data on physical activity were acquired using a self-reported questionnaire. BDNF serum levels were measured utilizing a modified ELISA method, and the rs6265 polymorphism was genotyped by the Assay-by-Design service. Two sample t-tests or chi-squared tests were employed to compare demographics and outcomes between physically active and nonactive groups as well as between rs6265 CC and CT+TT groups. Results: BDNF levels and rs6265 polymorphism did not differ significantly between the physically active (N = 195) and nonactive group (N = 154). Participants with the rs6265 polymorphism did not show any significant difference in BDNF levels or BMI when compared with those with the normal functional variant. Higher BDNF levels were significantly associated with higher age (r = 0.11, P = 0.04) and higher 2-hr glucose level (r = 0.11, P = 0.04). Conclusions: In this cross-sectional study, the rs6265 polymorphism was not associated with a higher risk of obesity, or lower circulating levels of BDNF. Thus, the rs6265 polymorphism may have a different impact in Latinos as compared with other previously studied populations.
Photonics-Assisted Beamforming for 5G Communications

In the last year, beamforming has become a hot research topic, due to the perspective of its massive deployment in the RF access segment of future 5G mobile networks. This letter is a review of some possible implementations reported in the literature of photonic integrated circuits for the realization of phase shift (PS)-based beamforming networks for radio frequency signals, suitable for future 5G communications. The results demonstrate the possibility of ultrafast beamsteering reconfiguration (~1 ns), large applied PS (>400°), stable operation at high carrier frequencies (tens of gigahertz) over a wide signal bandwidth (~ 6 GHz), and low power consumption (tens of milliwatts).
Overcoming the Challenges of Experimental Research: Lessons From a Criminal Justice Case Study Involving TASER Exposure

Objective: To provide guidance to criminologists for conducting experiments in light of two common discouraging factors: the belief that they are overly time-consuming and the belief that they can compromise the ethical principles of human subjects’ research. Method: A case study approach is used, based on a large-scale randomized controlled trial experiment in which we exposed participants to a 5-s TASER shock, to describe how the authors overcame ethical, methodological, and logistical difficulties. Results: We derive four pieces of advice from our experiences carrying out this experimental trial: (1) know your limitations, (2) employ pilot testing, (3) remain flexible and patient, and (4) “hold the line” to maintain the integrity of the research and the safety of human subjects. Conclusions: Criminologists have an obligation to provide the best possible evidence regarding the impact and consequences of criminal justice practices and programs. Experiments, considered by many to be the gold standard of empirical research methodologies, should be used whenever possible in order to fulfill this obligation.
Sputum purulence-associated microbial community compositions in adults with bronchiectasis.

Bronchiectasis is a debilitating chronic inflammatory airway disease which arises from multiple etiologies. The interplay among the etiology, altered microenvironment and defective host-defense may have predisposed to recurrent chest infections of pathogens (1,2) that correlate with bronchiectasis exacerbations and increased mortality.
Spectral Efficiency and BER Analysis of OFDM-IM with M-Ary QAM Under Rayleigh Fading Channel

Orthogonal Frequency Division Multiplexing (OFDM) is utilized in numerous high data rate wireless systems. It consists of number of closely spaced modulated carriers. However, it has some limitations like high Peak to Average Power Ratio (PAPR), low Spectral Efficiency (SE) and more Inter-Channel Interference (ICI) in frequency selective fading channel. These limitations can be avoided by OFDM through Index Modulation (OFDM-IM). The OFDM block consisting of subcarriers uses the theory of Spatial Modulation (SM). The purpose of OFDM-IM is to make active some subcarriers to transmit M-ary constellation symbols whereas remaining subcarriers is turned off. OFDM-IM is used to attain improved Bit Error Rate (BER) performance with low SE under Rayleigh fading channel. In this paper, OFDM and OFDM-IM with M-ary Quadrature Amplitude Modulation (M-QAM) under Rayleigh fading channel are simulated. In addition, the performance parameters such as Bit Error Rate (BER) and Spectral Efficiency (SE) are determined and analyzed for OFDM-IM and also compared with OFDM.
Multirate 5G Downlink Performance Comparison for f-OFDM and w-OFDM Schemes with Different Numerologies

One of the main open problems for next generation wireless networks, is to find the new OFDM-based waveform to be used in 5G. The new modulation scheme must primarily be able to achieve higher spectral efficiency than its predecessor. The main 3GPP's candidate is a new version of OFDM, called Filtered Orthogonal Frequency-Division Modulation (f-OFDM), which is similar to OFDM but with additional filtering in order to reduce Out-Of-Band (OOB) emissions and to obtain a better spectral-localization. Another option is windowed-OFDM (w-OFDM), which is basically a classical OFDM scheme where each symbol is windowed and overlapped in the time domain. In this paper we compare classic OFDM signals using Cyclic Prefix (CP-OFDM) with f-OFDM and w-OFDM, each one with multiple parametric options and numerologies. A multirate transmitter simultaneously operating with multiple numerologies is considered, where the transmitted sub-bands must be up-sampled and interpolated in order to generate the composite numerical signal fed to the Digital to Analog Converter (DAC). Finally, we discuss advantages and disadvantages of the various schemes.