Miracle-dz/UniFAR-FTUs huggingface dataset:
A Sentiment Analysis Based Stock Recommendation System

There is tremendous value in the ability to predict stock market trends and outcomes. The public sentiment surrounding a stock is unquestionably a vital factor contributing to the rise or fall of a stock price. This paper aims to detail how data from public sentiment can be integrated into traditional stock analyses and how these analyses can then be used to make predictions of stock price trends. Headlines from seven news publications and conversations from Yahoo! Finance's conversations forum were processed by the Valence Aware Dictionary and sEntiment Reasoner (VADER) natural language processing package to determine numerical polarities which represent a positive, negative, or neutral public sentiment around a stock ticker. The resulting polarities were paired with popular stock-table metrics (PEG Ratio, Forward EPS, etc.) to create a dataset for a Logistic Regression machine learning model. The model was trained on approximately 4400 major stocks to determine a binary “Buy” (1) or “Not Buy” (0) recommendation for each stock. The model achieved an F1 accuracy of 82.5% and for most major stocks, the model's recommendations were aligned with the stock analysts' ratings from the NASDAQ website. The logistic regression model would improve from leveraging a historical compass of data, given the hive-mind behavior that online discussion forums exhibit.
Interstellar Extinction in 20 Open Star Clusters

Abstract The interstellar extinction law in 20 open star clusters namely, Berkeley 7, Collinder 69, Hogg 10, NGC 2362, Czernik 43, NGC 6530, NGC 6871, Bochum 10, Haffner 18, IC 4996, NGC 2384, NGC 6193, NGC 6618, NGC 7160, Collinder 232, Haffner 19, NGC 2401, NGC 6231, NGC 6823, and NGC 7380 have been studied in the optical and near-IR wavelength ranges. The difference between maximum and minimum values of E(B − V) indicates the presence of non-uniform extinction in all the clusters except Collinder 69, NGC 2362, and NGC 2384. The colour excess ratios are consistent with a normal extinction law for the clusters NGC 6823, Haffner 18, Haffner 19, NGC 7160, NGC 6193, NGC 2401, NGC 2384, NGC 6871, NGC 7380, Berkeley 7, Collinder 69, and IC 4996. We have found that the differential colour-excess ΔE(B − V), which may be due to the occurrence of dust and gas inside the clusters, decreases with the age of the clusters. A spatial variation of colour excess is found in NGC 6193 in the sense that it decreases from east to west in the cluster region. For the clusters Berkeley 7, NGC 7380, and NGC 6871, a dependence of colour excess E(B − V) with spectral class and luminosity is observed. Eight stars in Collinder 232, four stars in NGC 6530, and one star in NGC 6231 have excess flux in near-IR. This indicates that these stars may have circumstellar material around them.
Spectral and timing properties of the accreting X-ray millisecond pulsar IGR J17511-3057

Context. IGR J17511–3057 is the second X-ray transient accreting millisecond pulsar discovered by INTEGRAL. It was in outburst for about a month beginning on September 13, 2009. Aims. We analyze the spectral and timing properties of the object and the characteristics of X-ray bursts with the aim to constrain the physical processes responsible for the X-ray production in this class of sources. Methods. We studied the broad-band spectrum of the persistent emission in the 0.8–300 keV energy band using simultaneous INTEGRAL, RXTE and Swift data obtained in September 2009. We also describe the timing properties in the 2–120 keV energy range such as the outburst light curve, pulse profile, pulsed fraction, pulsed emission, and time lags, and moreover study the properties of X-ray bursts discovered by RXTE and INTEGRAL and the recurrence time. Results. The broad-band average spectrum is well described by thermal Comptonization with an electron temperature of kTe ∼ 25 keV, soft seed photons of kTbb ∼ 0.6 keV, and Thomson optical depth τT ∼ 2 in a slab geometry. During the outburst the spectrum stays remarkably stable with plasma and soft seed photon temperatures and scattering optical depth being constant within errors. We fitted the outburst profile with the exponential model, and using the disk instability model we inferred the outer disk radius to be (4.8−5.4) × 10 10 cm. The INTEGRAL and RXTE data reveal the X-ray pulsation at a period of 4.08 milliseconds up to ∼120 keV. The pulsed fraction is shown to decrease from ∼22% at 3 keV to a constant pulsed fraction of ∼17–18% between 7–30 keV, and then to decrease again to ∼13% at 60 keV. The nearly sinusoidal pulses show soft lags that monotonically increase with energy to about 0.2 ms at 10–20 keV similar to those observed in other accreting pulsars. The short burst profiles indicate hydrogen-poor material at ignition, which suggests either that the accreted material is hydrogen-deficient, or that the CNO metallicity is up to a factor of 2 times solar. However, the variation of the burst recurrence time as a function of u m (inferred from the X-ray flux) is much smaller than predicted by helium-ignition models.
Application of Maximum Entropy Deconvolution to ${\gamma}$-ray Skymaps

Skymaps measured with imaging atmospheric Cherenkov telescopes (IACTs) represent the real source distribution convolved with the point spread function of the observing instrument. Current IACTs have an angular resolution in the order of 0.1$^\circ$ which is rather large for the study of morphological structures and for comparing the morphology in $\gamma$-rays to measurements in other wavelengths where the instruments have better angular resolutions. Serendipitously it is possible to approximate the underlying true source distribution by applying a deconvolution algorithm to the observed skymap, thus effectively improving the instruments angular resolution. From the multitude of existing deconvolution algorithms several are already used in astronomy, but in the special case of $\gamma$-ray astronomy most of these algorithms are challenged due to the high noise level within the measured data. One promising algorithm for the application to $\gamma$-ray data is the Maximum Entropy Algorithm. The advantages of this algorithm are the possibility to take a priori knowledge into account and that it is an independent approach to previous work, e.g., Heinz et al. (2012) who applied the Richardson Lucy Algorithm to $\gamma$-ray skymaps. An implementation of the Maximum Entropy Algorithm is provided in the MemSys5 software package by Gull and Skilling (1999). As this algorithm is very sensitive to various input parameters it is essential to understand their influences. We present a study of the influences of these parameters in order to investigate the applicability of the Maximum Entropy Algorithm for the deconvolution of skymaps in $\gamma$-ray astronomy.
A Novel Approach to the Maximum Peak Power Tracking under Partial Shading conditions

Electricity generation using photovoltaic (PV) technology has become highly popular recently. However, natural barriers such as trees, buildings, bird drops, etc., cause partial shading (PS) on the PV surface resulting in high power losses. Bypass diodes used to mitigate the PS effect cause multiple peaks in the PV power delivery. The tracking of the optimal power peak can be considered an optimization problem with a continuously changing objective function due to different insolation conditions. All optimization strategies applied in previous works spanning from mathematical programming techniques to Machine Learning and the recently proposed Nature-inspired algorithms led to either sub-optimal maximum power or required extensive computations. This work presents an algorithm that combines the advantages of the previous works and avoids their loopholes. Experimental results indicate the superiority of the proposed algorithm over the state-of-the-art algorithm for the Maximum Power Peak Tracking problem.
The Role of Parallelism in the Evolution of Optical Fiber Communication Systems

In order to overcome the capacity limitations of current lightwave systems based on the single-mode optical fiber, massively parallel transmission in the spatial domain [space-division multiplexing (SDM)] supported by extended parallelism in the frequency domain (ultrawideband (UWB) systems) must be used. This article reviews key aspects of parallel transmission systems as the only significant capacity scaling option going forward and discusses the various tradeoffs on an architectural level and a hardware integration level. In doing so, this article also serves as an introduction to the more detailed accounts of fiber-optic systems and their future scaling within this Special Issue of the Proceedings of the IEEE.
An Auxiliary-Loop-Enhanced Fast-Transient FVF LDO as Reference Buffer of a SAR ADC

This paper presents a fast transient response flipped voltage follower (FVF) low-dropout regulator (LDO) for high-speed successive-approximation-register (SAR) analog-to-digital converters (ADCs), enabled by a direct-coupled auxiliary loop (DC-AL) with replica load. The proposed auxiliary loop consists of an additional power MOS directly controlled by a replica load, which imitates the response of the main loop but scaled down for low power and compact area. This low die cost solution enables a fast transient response from the LDO that well suits a high-speed SAR ADC. The concept, verified in a 12bit VCM-based SAR ADC in 65nm CMOS, operates at 100 MS/s under a 1.2 V supply. The simulation results demonstrate that the DC-AL scheme improves the worst-case DNL and INL from 2.05/-1 LSB and 1.91/-1.83 LSB to 0.43/-0.46 LSB and 0.56/-0.52 LSB, respectively. The LDO with the DC-AL as the reference buffer consumes 0.65 mW with only 0.5 pF of decoupling capacitance, while the DC-AL spends only 0.08 mW.
Analysis of Probability of Collision of CAMs in Opportunistic Vehicular Communication

For effective implementation of intelligent transportation system (ITS) sufficient bandwidth is essential. Given the increasing trend in vehicular traffic over the years, the dedicated band allocated for vehicular communication may not be sufficient for supporting the needs of future ITS. Opportunistic use of communication bands may help mitigate the problem by making available frequency bands licensed to primary users for vehicular communication. In this paper, a novel opportunistic V2X (O-V2X) scheme is proposed, that switches between C-V2X mode and an opportunistic mode, utilizing the licensed primary user band for secondary transmissions. It has been shown analytically that the opportunistic use of the primary user band can potentially reduce the probability of collision of the cooperative awareness messages (CAMS) in vehicular communication. The reduction in the probability of collision in comparison to the conventional C-V2X has been validated analytically for a range of traffic densities and transmitter-receiver distances.
A Highly Linearized Ka-band Heterodyne Receiver using a Folded Class-AB Inductive Peaking Mixer and Magnetic-Self-Cancellation-Transformer-Based IF Amplifiers

This work presents a linearized Ka-band heterodyne receiver for millimeter-wave phased-array systems with high linearity requirement. A folded class-AB inductive peaking mixer and a two-stage magnetic self-cancellation-based load-pull interstage matching Intermediate-frequency (IF) amplifier are proposed to improve the linearity of input and output 1-dB compression point, respectively. The proposed receiver is implemented in 65 nm CMOS technology and its core area is 0.7 mm2. The measured input 1-dB compression point (IP1dB) is −10.9dBm and the output 1-dB compression point (OP1dB) is 7.1 dBm, with noise Figure (NF) of 10.1 dB at center frequency. To the best knowledge of the authors, the proposed RX achieves the highest IP1dB and OP1dB among all the listed publications in silicon technology. The power consumption of the receiver including LO path is 119mW.
A Systematic Literature Review of Knowledge Sharing Based on ICT During COVID-19 Era

The outbreak of the COVID-19 pandemic has resulted in various studies to find out various solutions, from economic, cultural, social and political perspectives. Changes in lifestyle to survive in the pandemic era have led, scientific communities attempt to seek information and knowledge. This study aims to investigate related to knowledge sharing by utilizing ICT during the Covid-19 pandemic by utilizing a systematic literature review. The search for scientific literature was carried out by using Publish or Perish and PRISMA2000 through the keywords ‘knowledge sharing’, ‘ICT’ and ‘COVID-19’ and found 32 journal articles during the period of 2020 until the first half of 2022. The study found that there has been an increasing trend in research on knowledge sharing based on ICT during the period in question. ICT is very helpful for the community in sharing knowledge and the more people can take advantage of ICT, the faster people will acquire knowledge.
Distant galaxy clusters in a deep XMM-Newton field within the CFTHLS D4

Aims. The XMM-Newton Distant Cluster Project (XDCP) aims at the identification of a well defined sample of X-ray selected clusters of galaxies at redshifts z ≥ 0.8. As part of this project, we analyse the deep XMM-Newton exposure covering one of the CFHTLS deep fields to quantify the cluster content. We validate the optical follow-up strategy as well as the X-ray selection function. Methods. We searched for extended X-ray sources in archival XMM-Newton EPIC observations. Multi-band optical imaging was performed to select high redshift cluster candidates among the extended X-ray sources. Here we present a catalogue of the extended sources in one the deepest ∼ 250 ksec XMM-Newton fields targetting LBQS 2212-1759 covering ∼ 0.2 � ◦ . The cluster identification is based on deep imaging with the ESO VLT and from the CFHT legacy survey, among others. The confirmation of cluster candidates is done by VLT/FORS2 multi-object spectroscopy. Photometric redshifts from the CFHTLS D4 were utilised to confirm the effectiveness of the X-ray cluster selection method. The survey sensitivity was computed with extensive Monte-Carlo simulations. Results. At a flux limit of S0.5−2.0 keV ∼ 2.5 · 10 −15 erg s −1 we achieve a completeness level higher than 50% in an area of ∼ 0.13 � ◦ . We detect six galaxy clusters above this limit with optical counterparts, of which 5 are new spectroscopic discoveries. Two newly discovered X-ray luminous galaxy clusters are at z ≥ 1.0, another two at z = 0.41, and one at z = 0.34. For the most distant X-ray selected cluster in this field at z = 1.45, we find additional (active) member galaxies from both X-ray and spectroscopic data. Additionally, we find evidence of large-scale structures at moderate redshifts of z = 0.41 and z = 0.34. Conclusions. The quest for distant clusters in archival XMM-Newton data has led to detection of six clusters in a single field, making XMM-Newton an outstanding tool for cluster surveys. Three of these clusters are at z ≥ 1, which emphasises the valuable contribution of small, yet deep surveys to cosmology. Beta models are appropriate descriptions of the cluster surface brightness when performing cluster detection simulations to compute the X-ray selection function. The constructed log N − log S tends to favour a scenario where no evolution in the cluster X-ray luminosity function (XLF) takes place.
Quality-Aware Merge Candidate Construction For Video Coding

Efficient construction of merge candidate list is a critical issue in terms of the advanced inter coding technologies. Existing merge candidate list construction methods are typically realized by traversing the potential candidates in a predefined order, without considering different qualities of the potential candidates. In this paper, we propose a quality-aware merge candidate list construction method based on template matching (TM) cost sorting, termed as QAMC. Instead of checking and appending potential candidates based on a predefined traversing order, QAMC is proposed to select and rank potential merge candidates according to the quality, where the quality is measured by the distortion between a reconstructed template region and its reference region. Simulation results on ECM-2.0 demonstrate that QAMC provides 0.27% and 0.32% coding gains respectively for RA and LDB configurations, with reasonable complexity increase.
Non-thermal emission from massive star-forming regions: a possible SNR candidate G351.7–1.2?

We present low frequency wide band observations (300-500 MHz) of the star forming complex G351.7-1.2 using upgraded Giant Metrewave Radio Telescope (uGMRT), India. Combining this with the optical, infrared and submillimeter data, we analyse the large scale diffuse radio emission associated with the region that exhibits a broken shell morphology. The spectral index of the emission in the shell is -0.8, indicating non-thermal emission. H-alpha emission that mimics the morphology of the radio shell on a smaller scale is also detected here. Based on the non-thermal emission from the radio shell and the presence of its optical counterpart, we classify G351.7-1.2 as a candidate SNR. A gamma-ray source detected by Fermi LAT (1FGLJ1729.1-3641c) is located towards the south-west of the radio shell and could have a possible origin in the interaction between high velocity particles from the SNR and the ambient molecular cloud.
The impact of information systems on the logistics industry

Effective logistics management focuses on information, but with technology, a promotional influence can be applied for competitive logistics strategy. Integrating information technology (IT) into business involves using information technology to introduce, enhance, complement and extend skills. Information technology has made it easier for managers to focus on tactical issues and core skills, while enhancing the use of logistics intermediate businesses, such as distribution, by automating many tedious logistics operations. This study aimed to evaluate/highlight through a literature review the impact of information technology on the performance of logistics companies.
A 385μW Photoplethysmography-based Vitals Monitoring SoC with 110dB Current-to-Digital Converter

Asthma has been associated with a sharp increase in the global prevalence, morbidity, mortality, and economic burden over the past several years. This paper presents vitals monitoring system-on-chip (SoC) that measures the heart rate (HR), and its variability (HRV), blood oxygen saturation (SpO2), and respiratory rate (RR) from a Photoplethysmography signal (PPG). The proposed SoC integrates a direct current-to-digital analog front end for PPG signal acquisition, a vitals extraction processor, and a time-multiplexed LED driver for red and IR LEDs. The PPG readout employs a second-order, continuous-time, delta-sigma analog to digital converter (ΔΣ-ADC) with a 0.1% duty-cycled operation to reduce power consumption while achieving a 110dB dynamic range. The SoC is implemented in a 180nm CMOS process with an active area of 4.5mm2. The functionality of the proposed SoC is verified on patients’ recordings from Beth Israel Deaconess Medical Center (BIDMC). The proposed SoC achieves high accuracy measurements with a maximum absolute error percentage of <2% for all vitals while consuming 385μW.
A two-stage market-based TSO-DSO coordination framework

This paper introduces a novel two-stage market-based TSO-DSO coordination framework. The proposed framework is harmonized with existing Day-Ahead markets and respects the privacy requirements of the TSO and the DSOs. It consists of a TSO and multiple DSO markets that are cleared sequentially. DSO markets are cleared first and seek to provide to the DSO a platform for congestion management. The DSO markets allow for indirect sharing of resources between the networks, using a carefully designed pricing scheme. Importantly, the DSO market also considers the losses of the distribution network and the effect of reactive power flows at the point of common coupling. The objective of the TSO market is to provide congestion management to the TSO and restore the balance of the system (which may be altered by the DSO markets). The effectiveness of the proposed framework is demonstrated via a case study.
A High-Throughput Design for the H.266/VVC Low-Frequency Non-Separable Transform

This paper presents a high throughput hardware design for the Low-Frequency Non-Separable Transform (LFNST) of the Versatile Video Coding (H.266/VVC) standard. The LFNST is a secondary transform used to transform the coefficients already transformed by the DCT-II as primary transform over the residues from the directional intra prediction. The LFNST architecture was designed to process Ultra-High Definition (UHD) videos with $4098 \times 2160$ pixels (4K) at 60 frames per second. Our solution presents an area utilization of 99.13 kgates and a power dissipation of 38.50 mW, when running at 186.62 MHz and considering the worst-case operation (processing the LFNST $4\times 4$ through TU size of $4\times 4$).
A new approach to distant solar system object detection in large survey data sets

Context. The recently postulated existence of a giant ninth planet in our solar system has sparked search efforts for distant solar system objects (SSOs) both via new observations and archival data analysis. Due to the likely faintness of the object in the optical and infrared regime, it has so far eluded detection. Aims. We set out to re-analyze data acquired by the Wide-Field Infrared Survey Explorer (WISE), an all-sky survey well suited for the detection of SSOs. Methods. We present a new approach to SSO detection via parallactic fitting. Using the heliocentric distance as a fit parameter, our code transforms groups of three or more single-observation point sources to heliocentric coordinates under the assumption that all data stem from an object. The fact that the orbit of a distant SSO is approximately linear in heliocentric coordinates over long time-scales can be utilized to produce candidates, which can then be confirmed with follow-up observations. Results. We demonstrate the feasibility of the approach by a posteriori detecting the outer SSO Makemake within WISE data. An all-sky search for Planet Nine yielded no detection. Conclusions. While the postulated Planet Nine eluded detection by our algorithm, we tentatively predict that this new approach to moving-object analysis will enable the discovery of new distant SSOs that cannot be discovered by other algorithms. Especially in cases of sparse data observed over long time spans, our approach is unique and robust due to the use of only one fit parameter.
Comparison of Virtual Network Embedding Algorithms for Data Center Networks

Software defined networks are a new Internet architecture paradigm that allows co-existence of heterogeneous network architectures. They optimize network management (maintenance, operability, and effective content delivery) by provisioning a centralized network intelligence. Virtual network embedding (VNE) algorithms improve scalability and utilization of physical resources in data center networks (DCNs). In this paper, we implement various DCN topologies and evaluate performance of VNE algorithms using the VNE-Sim simulator. We compare performance by implementing both server-centric and switch-centric DCN topologies.