Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Twitter Users' Political Orientation: An Application to the Italian Political Scenario

Recently, the increasing spread of Online Social Networks (OSNs) provided an unprecedented opportunity of analysing online traces of human behaviour to get insight on individuals and society. Among the others, the possibility of predicting users' political orientation relying on data extracted from OSNs received growing attention. In this study, we introduce and make publicly available a dataset composed of 6.685 unique Twitter users and 9.593. 055 Tweets. Differently from most of the dataset currently available in the literature, here, each user was manually labeled according to their political orientation by a pool of human judges, using strict inclusion criteria. Further, we address the feasibility of the automatic classification of Italian Twitter users' political orientation based on their Tweets content. Our analysis focuses first on implementing a series of classifiers with the aim of predicting users' political preference as right- or left-oriented. The built models were then evaluated for inferring the political orientation of those users supporting “Movimento 5 Stelle” (M5S), an Italian political party with a still unclear political leaning. Results show high performances on the left-right classification task, with accuracy rates up to 93%. Finally, classification performances obtained on M5S supporters and possible applications of our findings are discussed.
Only Relative Speed Matters

Causal profiling is a novel and powerful profiling technique that quantifies the potential impact of optimizing a code segment on the program runtime. A key application of causal profiling is to analyze what-if scenarios which typically require a large number of experiments. Besides, the execution of a program highly depends on the underlying machine resources, e.g., CPU, network, storage, so profiling results on one device does not translate directly to another. This is a major bottleneck in our ability to perform scalable performance analysis and greatly limits cross-platform software development. In this paper, we address the above challenges by leveraging a unique property of causal profiling: only relative performance of different resources affects the result of causal profiling, not their absolute performance. We first analytically model and prove causal profiling, the missing piece in the seminal paper. Then, we assert the necessary condition to achieve virtual causal profiling on a secondary device. Building upon the theory, we design VCoz, a virtual causal profiler that enables profiling applications on target devices using measurements on the host device. We implement a prototype of VCoz by tuning multiple hardware components to preserve the relative execution speeds of code segments. Our experiments on benchmarks that stress different system resources demonstrate that VCoz can generate causal profiling reports of Nexus 6P (an ARM-based device) on a host MacBook (x86 architecture) with less than 16% variance.
Virus Taxonomy The ICTV Report on Virus Classification and Taxon Nomenclature Rhabdoviridae Chapter Rhabdoviridae

The family Rhabdoviridae includes 20 genera and 144 species of viruses with negative-sense, single-stranded RNA genomes of approximately 10–16 kb (Table 1.Rhabdoviridae). Virions are typically enveloped with bullet-shaped or bacilliform morphology but nonenveloped filamentous virions have also been reported. The genomes are usually (but not always) single RNA molecules with partially complementary termini. Almost all rhabdovirus genomes have 5 genes encoding the structural proteins (N, P, M, G and L); however, many rhabdovirus genomes encode other proteins in additional genes or in alternative open reading frames (ORFs) within the structural protein genes. The family is ecologically diverse with members infecting plants or animals including mammals, birds, reptiles or fish. Rhabdoviruses are also detected in invertebrates, including arthropods some of which may serve as unique hosts or may act as biological vectors for transmission to other animals or plants. Rhabdoviruses include important pathogens of humans, livestock, fish or agricultural crops.
A new Wells–Dawson organic–inorganic hybrid polytungstate containing dimeric silver coordination complexes: (Hpy)2[Ag2(phen)4]2(P2W18O62)

An attempt to incorporate Ag+ ions and some organic-reducing ingredients (e.g. pyridine) simultaneously into a polyoxometalate is a challenging task due to the high-standard reduction potential of Ag+ ions. By using a second organic ligand to coordinate Ag+ first, we prepared a new polytungstate, (Hpy)2[Ag2(phen)4]2(P2W18O62) (1) (py = pyridine (C5NH5), phen = 1,10-phenanthroline (C12N2H8)), which contains discrete inorganic polyanions ([P2W18O62]6–), protonated pyridine molecules, and [Ag2(phen)4]2+ dimers. The isolated inorganic polyanions cluster close to the planes of (1 0 0) and are bound together by pyridine molecules via hydrogen bonds to form layers parallel to (1 0 0) at (0, y, z) and (0.5, y, z). The [Ag2(phen)4]2+ dimers are located between successive layers of (1 0 0) and represent an uncommon feature that the hexagonal benzene rings of phen molecules are directly overlapped face to face. Our work opens a new way for synthesis of other Wells–Dawson organic–inorganic hybrid polytungstates by controlling reactant addition order. Graphical Abstract An effective route led to incorporating Ag+ and reductive pyridine simultaneously into a polytungstate, which contains an uncommon dimeric Ag–coordination complex and mixed organic-ingredients.
Automatic Modulation Recognition Using Generative Adversarial Networks

In this paper, we explore the automatic modulation recognition problem using neural networks. Classic neural networks such as CNN, RNN and numerous pretrained networks have been widely applied in classiﬁcation tasks. However, A recent popular network framework called Generative Adversarial Network(GAN) shows great potential in solving semi-supervised learning problems. We implement this feature into the modulation classiﬁcation ﬁeld. Using the Tensorﬂow and Keras package, we successfully implement our GAN network and compare the results with other models. Our overall model accuracy is up to 50% with all kinds of SNR data. The best modulation classiﬁcation accuracy is more than 73% using GAN.
Protective Effect of Low Volume Load on Lung Dysfunction of Patients with Acute Respiratory Distress Syndrome after Injury*

To observe the protective effectof low volume load on the lung dysfunction of patients with acute respiratory distress syndrome after injury. 165 ARDS patients with trauma were randomly divided into the liquid management group and control group. PiCCO was used to monitor the liquid management, which consisted of CVP, PAWP, PaO2/FiO2. The concentration of IL-6 in lung lavage fluid and the concentration of SP-D in plasma were detected before and after curing. Besides, the arterial blood gas analysis and the weanning time of respirator were recorded. The CVP, PAWP, EVLWI, IL-6 andSP-D levelsdecreased more obviously in the liquid management group than those in the control group (P<0.05). The oxygen partial pressure of arterial blood gas increased more obviously in the liquid management group than in the control group(P<0.05). The improvement of lung function was greater in the liquid management group than in the control group (P<0.05). Low volume loadcouldeffectively protect pulmonary dysfunction of ARDS patients with injury,which was connected with the reduction ofinflammation and improvement of oxygen-consuming. Acute respiratory distress syndrome; Liquid management; Lung protection; IL-6; SP-D
Dissolution of cellulose with ionic liquids and its application : a mini-review

Dissolution of cellulose with ionic liquids allows the comprehensive utilization of cellulose by combining two major green chemistry principles: using environmentally preferable solvents and bio-renewable feed-stocks. In this paper, the dissolution of cellulose with ionic liquids and its application were reviewed. Cellulose can be dissolved, without derivation, in some hydrophilic ionic liquids, such as 1-butyl-3-methylimidazolium chloride (BMIMCl) and 1-allyl-3-methylimidazolium chloride (AMIMCl). Microwave heating significantly accelerates the dissolution process. Cellulose can be easily regenerated from its ionic liquid solutions by addition of water, ethanol or acetone. After its regeneration, the ionic liquids can be recovered and reused. Fractionation of lignocellulosic materials and preparation of cellulose derivatives and composites are two of its typical applications. Although some basic studies, such as economical syntheses of ionic liquids and studies of ionic liquid toxicology, are still much needed, commercialization of these processes has made great progress in recent years.
OP-ANNO190436 1417..1427

Department of Medical Sciences, University of Turin, Turin; Division of Pathology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy; Department of Pathology; Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York; Department of Pathology, Massachusetts General Hospital, Boston; Department of Pathology, Harvard Medical School, Boston, USA; Department of Pathology, Caen University Hospital, Caen, France; Institute of Pathology, Charité, University Medicine Berlin, Berlin, Germany; Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy; Pathology & Targeted Therapies Laboratory, HM Sanchinarro University Hospital, Madrid, Spain; European Society for Medical Oncology, Lugano, Switzerland; Department of Medical Oncology, INSERM Unit 981, Institut Gustave Roussy, Villejuif, France
Simple Laboratory and Clinical Parameters as Predictor for Electrocardiographic Abnormalities Among Hospitalized Patients with Chronic Kidney Disease: A Cross-Sectional Study

Background: In developing countries, even electrocardiography (ECG) hasnt been used widely in most health-care centers. The ability of physicians to refer to chronic kidney disease (CKD) patients for ECG, often collide with several barriers and costs. Therefore, we need to formulate the simplest and most efficient model to predict when CKD patients need to be referred due to potential ECG abnormalities. Objective: The aim of this study was to develop several clinical and laboratory parameters as a predictor of any ECG abnormalities. Materials and Methods: A retrospective cross-sectional study design held at Dr. Soetomo General Academic Hospital, Surabaya, Indonesia. Subjects were hospitalized patients with CKD between 1 January to 31 December 2019. 198 CKD patients (101 males) were enrolled for the study. All patients had demographic information, detailed clinical profile, resting 12-lead ECG recording, complete blood count, serum electrolyte and renal function test profile during admission and results were interpreted blindly by two cardiologists. Statistical analysis was done by SPSS 26.0. Results: A total of 198 patients were included in this study. Mean ages were 52.2+11.8 years old and fifty-one percent were males. Eighty-eight percent of patients from 198 patients had ECG abnormality. AUC of hemoglobin level to discriminate poor R wave progression, pathological Q wave, non-spesific ST-T changes, and frontal axis deviation were 0.532, 0.641, 0.556 and 0.693, respectively. In multivariate logistic regression analysis, only higher systolic blood pressure was determined as an independent predictor of abnormal ECG finding in CKD patients, as systolic blood pressure increase by one unit, the odds of having abnormal ECG are increased 1.02 times (95% CI: 1.00-1.02, p=0.042). Conclusion: The ECG abnormalities can be found in hospitalized CKD patients. Fragmented QRS and long QTc were the highest prevalent ECG abnormalities in our study. Serum creatinine and hemoglobin could predict peaked T wave and prolonged QTc among hospitalized CKD patients. Systolic blood pressure could predict prolonged QTc and fragmented QRS in CKD patients. Keywords: fragmented QRS, peaked T wave, poor R wave progression, prolonged QTc, chronic kidney disease
Electronic Computer-Based Model of Combined Ventilation Using a New Medical Device

Introduction: The increased demand for mechanical ventilation caused by SARS-CoV-2 could generate a critical situation where patients may lose access to mechanical ventilators. Combined ventilation, in which two patients are connected to a single ventilator has been proposed as a bridge while waiting for new ventilators availability. DuplicAR is a new device that allows individualization of ventilatory parameters in combined ventilation models. Materials and Methods: With an electronic circuit simulator applet, an electrical model of combined ventilation was created using resistor-capacitor circuits. The DuplicAR system electrical analog was added to the model. Through computational simulation, the model is tested in different scenarios with the aim of achieving adequate ventilation of two subjects under different circumstances: 1) two identical subjects; 2) two subjects with the same size but different lung compliance; and 3) two subjects with different size and compliance. The goal is to achieve the established load per unit of size on each capacitor under different levels of end-expiratory voltage (analog of end-expiratory pressure). Data collected included capacitor load and voltage, and load normalized to the weight of the simulated patient. Results: In the three simulated stages, it is possible to provide the proper load to each capacitor under different circumstances. If the pair of connected capacitors have different capacitances, adjustments must be made to the source voltage and/or the resistance of the DuplicAR system to provide the appropriate load for each capacitor under initial conditions. In pressure control simulation, increasing the end-expiratory voltage on one capacitor requires increasing the source voltage and the resistance on the other capacitor. On the other hand, in the volume control simulation, it is only required to intervene in the resistance. Conclusions: Under simulated conditions, the electrical model of the DuplicAR system allows individualization of combined mechanical ventilation.
Sword of Damocles or choosing well. Population genetics sheds light into the future of the COVID-19 pandemic and SARS-CoV-2 new mutant strains.

Abstract An immense scientific effort has been made worldwide due to Covid-19s pandemic magnitude. It has made possible to identify almost 300,000 SARS-CoV-2 different genetic variants, connecting them with clinical and epidemiological findings. Among this immense data collection, that constitutes the biggest evolutionary experiment in history, is buried the answer to what will happen in the future. Will new strains, more contagious than the current ones or resistant to the vaccines, arise by mutation? Although theoretic population genetics is, by far, the most powerful tool we have to do an accurate prediction, it has been barely used for the study of SARS-CoV-2 due to its conceptual difficulty. Having in mind that the size of the SARS-CoV-2 population is astronomical we can apply a discrete treatment, based on the branching process method, Fokker-Plank equations and Kolmogoroffs forward equations, to calculate the survival likelihood through time, to elucidate the likelihood to become dominant genotypes and how long will this take, for new SARS-CoV-2 mutants depending on their selective advantage. Results show that most of the new mutants that will arise in the SARS-CoV-2 meta-population will stay at very low frequencies. However, some few new mutants, significantly more infectious than current ones, will still emerge and become dominant in the population favoured by a great selective advantage. Far from showing a mutational meltdown, SARS-CoV-2 meta-population will increase its fitness becoming more infective. There is a probability, small but finite, that new mutants arise resistant to some vaccines. High infected numbers and slow vaccination programs will significantly increase this likelihood.
Dynamic Monte Carlo Simulation on the Polymer Chain with One End Grafted on a Flat Surface

A linear polymer chain in good solvent condition with one end grafted on a infinitely large, impenetrable flat surface is investigated using dynamic Monte Carlo simulation on a simple cubic lattice. Chain shape and dimension, angular correlation between the direction of the end-to-end vector and that of the longest principal axis of inertia are studied and discussed. Results reveal that the asphericity of end-grafted polymer chains is greater than that of free ones, the limit ratio 〈L12〉 : 〈L22〉 : 〈L32〉 is about 1 : 3.0 : 14.9. The limit of mean angle 〈θ〉 of end-grafted chains is about 22°, smaller than that of free chains, indicating angular correlation between the direction of the end-to-end vector and that of the longest principal axis is reinforced.
On the pragmatic functions of Chinese Euphemism Abstract

Chinese euphemism is a linguistic phenomenon that can not be ignored in the process of social interaction,It is a mirror of society,It is not enough to understand the pragmatic function of Chinese Euphemism,It is difficult to communicate validly with others.The pragmatic function of euphemism is extremely rich,Enrich people’s language.communicative function,politeness function,gentle function,which belong to the pragmatic functions of Chinese Euphemism,They play an important role in people’s communication,Using Chinese euphemism appropriately will make us receive unexpected results in communication.
Effect of Processing Techniques on the Microbiologi cal Quality of Kilishi-A Traditional Nigerian Dried Beef Product

Accepted: 04/02/2016 Abstract The effect of processing techniques on the microbio l g cal quality of kilishi stored at 28±2 C was determined over 150 days. The conventional traditional kilishi (TK) and sausage type kilishi (SK) at varying percentage of ingredients were processed and assessed for tota l plate count (TPC), Coliform count (CC), Staphylococcal count (SC) and Fungal count (FC). Also, proximate and sensory analysis was carried ou t on the kilishi samples. The results obtained showed significant variations (P≤0.05) for all the microbial counts of the kilishi samples. The best microbiologically stable kilishi sample was SK7 (115% ingredients) as it recorded t h least TPC, CC, SC and FC in all the storage days. Highest prot ein (55.84±0.05%) and fat (19.20±0.09) were obtained from SK7 and SK2 res pectively and the organoleptic result showed that SK2 (85% ingredient s) had the best acceptance and were significantly different (P ≤0.05) compared to other kilishi samples.
Experimental investigations of the binary interaction of polydisperse sprays

Experimental investigations of the interaction of two polydisperse semi-hollow cone sprays are presented. The process, although of considerable significance for the chemical industry and applications like flue gas cleaning, has not been well-covered in the existing literature. This may be due to difficulties in getting general results from experiments involving particular geometries, like conical sprays, with fixed spray angle and geometrical arrangement of the nozzles. The present work develops a representation of the effects of the spray interaction on the spray drops in the resulting two-phase flow. The measurement technique used is phase-Doppler anemometry (PDA), which provides information about the size and two velocity components of the drops at each measurement position in the sprays. A factorial design of the experiments allows the influence of the intersection angle and the liquid flowrate of the sprays on an integral mean drop size in a spray cross section to be quantified. For varying values of these parameters, the downstream evolution of the interacting sprays is quantified in terms of the smoothness of profiles of the number-mean drop size. The collisional interaction of the spray drops is identified as the reason for the observed increase of the mean drop size caused by the spray interaction.
Endobutton Technique and its Outcomes in Surgical Treatment of Acromioclavicular Joint Dislocation: A Review Article

Acromioclavicular joint dislocation is one of the common problems among young athletes. A gold standard technique for ACjoint separation is still awaited. The current techniques beings used these days fail to manage the anatomical structure and biomechanical functions in AC-joint separation. Recently, hardware being used led to high risk of failure with slippage of the initial reduction. Nowadays, recent researches reported a novel technique for the treatment of shoulder AC-joint dislocation by endobutton CL. This review highlights a new approach called endobutton technique and its outcomes in the surgical treatment of acromioclavicular joint dislocation. Endobutton CL material is found with both the strength and actual anatomy assistance for a stable reduction. This surgical technique is minimal invasive, simple, and proved to be a safe and effective for reconstruction of AC-joint. The use of endobutton in AC-joint dislocation is very consistent and have no complication associated with minimal blood loss along with the level of pain decreased as compared to other techniques. Keyword: Endobutton, acromioclavicular joint, coracoclavicular ligament, AC-joint separation. Received February 13, 2017; Revised March 26, 2017; Accepted April 5, 2017 Correspondence: Lu Jun, Email lujun@medmail.com. cn, Contact: +8613813389966 To cite this manuscript: Yadav GP, Hao W, Liang JM, Jun L. Endobutton Technique and its outcomes in surgical treatment of acromioclavicular joint dislocation: A review article. Biomed Lett 2017; 1(1): 60-65.
Motion Analysis of PLET during the Setting-Down Process

Article history Received: 9 November 2020 Accepted: 27 November2020 Published Online: 30 December 2020 The design analysis of Subsea PLET should consider various cases, including in-place analysis, lifting analysis, setting down analysis and so on. The size and vessel space should be checked in the structural design, and the fishing protection function should also be covered. The accurate setting-down process is the prerequisite for the successful construction of the subsea project. Therefore, it is necessary to simulate the various conditions included in the setting down process. Based on practical YC13-1 project and subsea environment condition, a special type of subsea PLET is designed for the pipe rehabilitation. Theoretical study is performed to discuss the load and Fluent software is used to simulate the problems encountered in the setting-down process. Comparison on the calculation results with ROV condition and without ROV condition, it indicates the effective suppression of the movement of PLET with ROV tractive action. The study can be a good reference and guidance for the design and construction of South China Sea oil and gas field project.