Miracle-dz/UniFAR-FTUs huggingface dataset:
Surveying the Research on Fake News in Social Media: a Tale of Networks and Language

The history of journalism and news diffusion is tightly coupled with the effort to dispel hoaxes, misinformation, propaganda, unverified rumours, poor reporting, and messages containing hate and divisions. With the explosive growth of online social media and billions of individuals engaged with consuming, creating, and sharing news, this ancient problem has surfaced with a renewed intensity threatening our democracies, public health, and news outlets credibility. This has triggered many researchers to develop new methods for studying, understanding, detecting, and preventing fakenews diffusion; as a consequence, thousands of scientific papers have been published in a relatively short period, making researchers of different disciplines to struggle in search of open problems and most relevant trends. The aim of this survey is threefold: first, we want to provide the researchers interested in this multidisciplinary and challenging area with a network-based analysis of the existing literature to assist them with a visual exploration of papers that can be of interest; second, we present a selection of the main results achieved so far adopting the network as an unifying framework to represent and make sense of data, to model diffusion processes, and to evaluate different debunking strategies. Finally, we present an outline of the most relevant research trends focusing on the moving target of fake-news, bots, and trolls identification by means of data mining and text technologies; despite scholars working on computational linguistics and networks traditionally belong to different scientific communities, we expect that forthcoming computational approaches to prevent fake news from polluting the social media must be developed using hybrid and up-to-date methodologies.
Elimination of imaginaries in multivalued fields

In this paper we study elimination of imaginaries in some classes of henselian valued fields of equicharacteristic zero and residue field algebraically closed. The results are sensitive to the complexity of the value group. We focus first in the case where the ordered abelian group has finite spines, and then prove a better result for the dp-minimal case. In [25] it was shown that an ordered abelian with finite spines weakly eliminates imaginaries once we add sorts for the quotient groups Γ/∆ for each definable convex subgroup ∆, and sorts for the quotient groups Γ/∆ + lΓ where ∆ is a definable convex subgroup and l ∈ N≥2. We refer to these sorts as the quotient sorts. In [27] F. Janke, P. Simon and E. Walsberg characterized dp-minimal ordered abelian groups as those that for every prime p satisfy that [Γ ∶ pΓ] < ∞. We prove the following two theorems: Theorem. Let K be a valued field of equicharacteristic zero, residue field algebraically closed and value group with finite spines. Then K admits weak elimination of imaginaries once we add codes for all the definable O-submodules of K for each n ∈ N, and the quotient sorts for the value group. Theorem. Let K be a henselian valued field of equicharacteristic zero, residue field algebraically closed and dp-minimal value group. Then K eliminates imaginaries once we add codes for all the definable O-submodules of K for each n ∈ N, the quotient sorts for the value group and constants to distinguish representatives of the cosets of ∆ + lΓ in Γ, where ∆ is a convex definable subgroup and l ∈ N≥2.
Shrinkage with Shrunken Shoulders: Gibbs Sampling Shrinkage Model Posteriors with Guaranteed Convergence Rates

Use of continuous shrinkage priors — with a “spike” near zero and heavy-tails towards inﬁnity — is an increasingly popular approach to induce sparsity in parameter estimates. When the parameters are only weakly identiﬁed by the likelihood, however, the posterior may end up with tails as heavy as the prior, jeopardizing robustness of inference. A natural solution is to “shrink the shoulders” of a shrinkage prior by lightening up its tails beyond a reasonable parameter range, yielding a regularized version of the prior. We develop a regularization approach which, unlike previous proposals, preserves computationally attractive structures of original shrinkage priors. We study theoretical properties of the Gibbs sampler on resulting posterior distributions, with emphasis on convergence rates of the P´olya-Gamma Gibbs sampler for sparse logistic regression. Our analysis shows that the proposed regularization leads to geometric ergodicity under a broad range of global-local shrinkage priors. Essentially, the only requirement is for the prior π local ( · ) on the local scale λ to satisfy π local (0) < ∞ . If π local ( · ) further satisﬁes lim λ → 0 π local ( λ ) /λ a < ∞ for a > 0, as in the case of Bayesian bridge priors, we show the sampler to be uniformly ergodic.
A Survey of Sound Source Localization with Deep Learning Methods

This article is a survey of deep learning methods for single and multiple sound source localization, with a focus on sound source localization in indoor environments, where reverberation and diffuse noise are present. We provide an extensive topography of the neural network-based sound source localization literature in this context, organized according to the neural network architecture, the type of input features, the output strategy (classification or regression), the types of data used for model training and evaluation, and the model training strategy. Tables summarizing the literature survey are provided at the end of the paper, allowing a quick search of methods with a given set of target characteristics.
THE EFFECTS OF ION HYDRATION IN SOLVENT EXTRACTION AND ION EXCHANGE

• Preface . I. Solvent Extraction A. Introduction . 1. -Extraction of inorganic compounds 2. Extraction of acids 3. Presentation of the problem B. Experimental Method . 1. · Reagents . 2. Procedure a. Tracer experiments. b. Organic-phase analysis. C. -Results and Discussion ·1. Tributyl phosphate-water. 2. Tributyl phosphate-acids. 3. Tributyl phosphate-water-acids. 4. Concentrated solutions. D . summation II. Ion Exchange A. ·Introduction. B. Experimental M~thod l. Anion exchange. a. Reagents. b. Procedure 2. Cation exchange a. Reagents. b. Procedure vii
Interactive Use of Biochar and Chemical Fertilizer on Soil Nutrients (NPK), Soil Water Retention and Biological Nitrogen Fixation by Mash Bean

Loss of soil fertility, reduction in soil productivity and water scarcity is the major limitation of rain fed area of Pakistan. Applications of biochar on low fertile and degraded soil enhance soil fertility, nutrients uptake and water retention thus improves soil productivity. Field study was conducted to examine the effect of biochar on biological nitrogen fixation (BNF) by mash bean (Vigna mungo. L), soil nutrients availability and soil water retention. Biochar was applied at 0, 0.25 and 0.5 t ha-1 along with and without chemical fertilizer (20, 50, 50 kg ha-1 NPK) with four replications. Crop was harvested at maturity and soil samples were collected from each experimental plot before sowing and after harvesting and was analyzed for soil ECe, soil pH, total nitrogen, phosphorus, potassium, soil infiltration rate, soil aggregate stability, soil water retention and cation exchange capacity (CEC). Biological nitrogen fixation was determined by xylem-sap method and xylem sap was extracted at pod filling stage. Soil treated with biochar @ 0.5 t ha-1+chemical fertilizer (NPK 20, 50, 50 kg ha-1 respectively) showed maximum pH (7.78) and soil electrical conductivity (0.67 ds m-1). Application of biochar and chemical fertilizer to soil (0.5 t ha-1+NPK 20,50,50 kg ha-1) increases total N from 3.9 mg kg-1 to 18 mg kg-1, Phosphorus from 4 mg kg-1 to 18.5 mg kg-1, potassium from 98 mg kg-1 to 143 mg kg-1 and soil CEC from 6.6 Cmolc kg-1 to 11.2 Cmolc kg-1. Biochar @ 0.5 t ha-1 stabilized soil aggregates (34%) and improves soil infiltration rates (164 mm h-1) without impacting any significant effect on soil water retention. Biochar applied @ 0.5 t ha-1 along with chemical fertilizer (NPK 20, 50, 50 kg ha-1 respectively) showed maximum increase in BNF (24 kg N ha-1), biomass yield (2.7 t ha-1) and grain yield (1.8 t ha-1). The study concluded that biochar application (0.5 t ha-1) along with chemical fertilizer increase availability of nutrients (NPK), soil pH and ECe where as sole application of biochar (0.5 t ha-1) promoted aggregation and infiltration rate. The significant increase was observed in case of BNF (40%), grain yield (77%) and biomass yield (64%) of mash bean. It is recommended that biochar application to soil along with chemical fertilizer improve soil productivity and BNF by mash bean.
Temperament and Academic Achievement in Children: A Meta-Analysis

This study aimed to systematize the diverse and rather controversial findings of empirical research on the relationship between the temperament and academic achievement of school children, as well as to determine the average effect size between these variables. We included 57 original studies of published and unpublished research conducted in 12 countries between 1985 and 2019, with cumulative sample size of 79,913 (varying from 6333 to 14,126 for links between particular temperament dimensions and specific domains of achievement). A random-effects and mixed-effects model was fitted to the data for the central tendency of the temperament–achievement relation and for analyzing moderators, respectively. The high heterogeneity of studies was tackled by selected specific moderators, namely, education level, transition status, family’s socio-economic level, and sources of report on achievement and temperament. The main findings of this meta-analysis affirmed the positive association of effortful control (EC) and inverse relationship of negative affectivity (NA) with a child’s academic performance, together with no apparent trend of surgency (SU) in this relationship; additionally, the sources of report significantly moderated the link between temperament and academic achievement.
Biodegradable carboxymethyl cellulose–polyvinyl alcohol composite incorporated with Glycyrrhiza Glabra L. essential oil: Physicochemical and antibacterial features

Abstract Glycyrrhiza glabra L. root essential oil (GGEO) has well‐known antimicrobial and therapeutic features. In this study, a new antimicrobial carboxymethyl cellulose–polyvinyl alcohol (CMC‐PVA) binary film was developed using GGEO as an active compound. The effects of various concentrations of GGEO (0.25%, 0.50%, and 0.75%) were scrutinized on the physicochemical and antibacterial properties of composites. It was discovered that GGEO significantly reduced the composite ultimate tensile strength from 17.01 to 3.86 MPa. Further, by increasing the concentration of GGEO to 0.75%, the water vapor permeability and moisture content increased to 13.61 × 10−9 g/m s−1 Pa−1 and 41.06%, respectively. The results indicated that the active films possessed good inhibitory effects against the gram‐positive bacteria (L. monocytogenes and Staphylococcus aureus) and were less powerful against gram‐negative bacteria (Escherichia coli and S. typhimurium). Finally, the results highlighted that GGEO can act as an excellent antimicrobial agent in combination with CMC‐PVA composite.
Trend of Salmonella enterica occurrence and serotypes in Sardinian pig slaughterhouses

The aim of this study was to evaluate Salmonella prevalence and serotypes in four Sardinian pig slaughterhouses. Moreover, a population study was conducted with pulsed field gel electrophoresis (PFGE). The results were compared with previous investigations carried out during years 2008 and 2014. A total of 147 samples were collected, 117 from slaughtered pigs (lymph nodes, colon content and carcass surface) and 30 from the slaughterhouse environment (surfaces in contact and not in contact with meat). Salmonella was isolated from 3.4% pig samples and was not detected from environmental samples. Comparing the results with those of previous investigations, occurrence showed a sharp decrease through the years in both animals (18.8% in 2008, 10% in 2014 and 3.4% in 2020) and environmental samples (34.1% in 2008, 3.7 in 2014, and 0% in 2020). At the same time, prevalence of carriers (pigs positive at lymph nodes and/or colon content level) showed a reduction through the years and was always lower in animals coming from local farms rather than those coming from other European Member States, probably indicating the role of stressful factors as transport in increasing Salmonella susceptibility and shedding. Salmonella serotypes were monophasic Typhimurium, Rissen and Muenchen. Overall, 13 different Salmonella serotypes were identified during the three surveys with the most prevalent being serotypes often isolated from slaughtered pigs and during human salmonellosis cases: S. Derby and S. Typhimurium in 2008, S. Anatum and S. Rissen in 2014, monophasic S. Typhimurium in 2020. Population study with pulsed field gel electrophoresis showed a high similarity between Salmonella strains belonging to the same serotype. The results of the investigations showed a decrease of Salmonella occurrence during twelve years in Sardinia, probably due to the improvement in the application of correct GMPs and GHPs at slaughterhouse and also to a reduction of the rate of carrier pigs at farm level.
Cigarette Smoking and Dating App Use: Findings from a Survey in a Sample of Adults in Italy

Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for using dating apps. Multiple logistic regression analyses were run to investigate the relation between demographics and dating apps use on tobacco consumption. Being active user was significantly associated with being smoker, light daily and moderate-to-heavy smoker. Among users, using apps with the motive of searching for friends accounted for lower odds of smoking, light daily smoking and moderate-to-heavy smoking. However, heavy dating app users were less likely to smoke, to be light daily smokers and to be moderate-to-heavy smokers. The study indicates an association between using the apps and smoking, suggesting that motives for using the apps and intensity of use may moderate this association.
Impact of Early Weightbearing After Ankle Arthroscopy and Bone Marrow Stimulation for Osteochondral Lesions of the Talus

Background: Osteochondral lesion of the talus (OLT) may be caused by osteochondritis dissecans, osteochondral fractures, avascular necrosis, or focal arthritic changes. For certain focal cartilage defects, bone marrow stimulation (BMS) has been a widely used technique to restore a fibrocartilage substitute overlying the defect. There are various postoperative weightbearing protocols for this procedure, with no single gold standard method. Purpose: To retrospectively review the outcomes of patients undergoing ankle arthroscopy with concomitant BMS to determine outcomes based on postoperative weightbearing status. Study Design: Cohort study; Level of evidence, 3. Methods: We retrospectively reviewed the records of patients who underwent ankle arthroscopy with BMS for OLTs between 2015 and 2018. Patients were placed into 2 cohorts based on postoperative immobilization status: the nonweightbearing (NWB) group and the weightbearing-as-tolerated (WBAT) group. Patient characteristics obtained included age, sex, comorbidities, and etiology of talar pathology. Outcomes included the pain visual analog scale (VAS), range of motion (ROM), complications, time to first weightbearing, and the method and length of immobilization. Patients who were lost to follow-up before 30 days were excluded. The chi-square test was used to compare categorical variables between cohorts, and the t test was used for continuous variables. Results: A total of 69 patients met the inclusion criteria for this study, 18 in the WBAT group and 51 in the NWB group. The mean lesion size was 9.48 × 9.21 mm (range, 3-15 mm × 2-20 mm) for the NWB group and 9.36 × 9.72 mm (range, 5-14 mm × 6-20 mm) for the WBAT group (P > .05). The VAS scores improved from 4.40 to 0.67 for the WBAT group and from 6.33 to 2.55 for the NWB group, with the difference in final values reaching statistical significance (P = .0002). Postoperative ROM was not significantly different between the groups. There were 4 repeat operations within the NWB cohort. Conclusion: The surgical management of OLTs can be challenging, and the postoperative weightbearing protocol can be an extra obstacle for the patient to navigate. We found no difference in pain, ROM, or complications when allowing immediate, full WBAT.
Software system to predict the infection in COVID‐19 patients using deep learning and web of things

Since the end of 2019, computed tomography (CT) images have been used as an important substitute for the time‐consuming Reverse Transcriptase polymerase chain reaction (RT‐PCR) test; a new coronavirus 2019 (COVID‐19) disease has been detected and has quickly spread through many countries across the world. Medical imaging such as computed tomography provides great potential due to growing skepticism toward the sensitivity of RT‐PCR as a screening tool. For this purpose, automated image segmentation is highly desired for a clinical decision aid and disease monitoring. However, there is limited publicly accessible COVID‐19 image knowledge, leading to the overfitting of conventional approaches. To address this issue, the present paper focuses on data augmentation techniques to create synthetic data. Further, a framework has been proposed using WoT and traditional U‐Net with EfficientNet B0 to segment the COVID Radiopedia and Medseg datasets automatically. The framework achieves an F‐score of 0.96, which is best among state‐of‐the‐art methods. The performance of the proposed framework also computed using Sensitivity, Specificity, and Dice‐coefficient, achieves 84.5%, 93.9%, and 65.0%, respectively. Finally, the proposed work is validated using three quality of service (QoS) parameters such as server latency, response time, and network latency which improves the performance by 8%, 7%, and 10%, respectively.
Analysis of the sol and gel structures of potato starch over a wide spatial scale

Abstract We analyzed edible potato starch and observed the interaction between its granular structure and water molecules. We studied the changes caused by gelatinization during heating and stirring using microscopy, micro‐FT‐IR spectroscopy, and X‐ray scattering techniques. A wide range of spatial scales was revealed using these various techniques. The rate of gelatinization varied significantly and was dependent on the starch concentration. The process of adsorption of water on starch molecules was studied using the humidity‐controlled FT‐IR spectroscopy technique. Furthermore, by comparing the X‐ray scattering profiles of dry and wet granules, the 9‐nm repeat “cluster” structure was studied. A gradual collapse of the granules occurred during the processes of heating and stirring. A clustered smectic structure and a smectic‐like structure were observed in the opaque gel after gelatinization. Upon further heating, a transparent gel was obtained after the melting of the cluster.
Thrombosis in myeloproliferative neoplasms: Treatment outcomes of direct oral anticoagulants and vitamin K antagonists

Patients with myeloproliferative neoplasms (MPNs), such as polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF), are at an increased risk of recurrent thromboembolic events (TEs) and hemorrhagic complications. Anticoagulation with vitamin K antagonists (VKAs) had been the standard of care until the recent US Food and Drug Administration approval of direct oral anticoagulants (DOACs) for treatment of cancer‐associated thrombosis. However, since patients with MPNs were underrepresented in large studies, the use of DOACs in patients with MPN‐associated thrombosis remains understudied.
Postharvest melatonin treatment inhibited longan (Dimocarpus longan Lour.) pericarp browning by increasing ROS scavenging ability and protecting cytomembrane integrity

Abstract Postharvest melatonin treatments have been reported to improve the quality and storability, especially to inhibit browning in many fruits, but the effect had not been systematically investigated on longan fruit. In this study, the effect of 0.4 mM melatonin (MLT) dipping on the quality and pericarp browning of longan fruits stored at low temperature was investigated. The MLT treatment did not influence the TSS content of longan fruits but lead to increased lightness and h° value while decreased a* value of pericarp. More importantly, the treatment significantly delayed the increase in electrolyte leakage and malonaldehyde accumulation, inhibited the activities of polyphenol oxidase and peroxidase, and thus retarded pericarp browning. In addition, the treatment significantly inhibited the production of O2 •− and H2O2 while promoted the accumulation of glutathione, flavonoids, and phenolics at earlier storage stages in longan pericarp. Interestingly, the activities of ascorbate peroxidase (APX) and superoxide dismutase (SOD) were significantly upregulated but activities of catalase were downregulated in the MLT‐treated longan pericarp. MLT treatment effectively enhanced APX and SOD activities, increased flavonoid, phenolics, and glutathione content, protected cytomembrane integrity, inhibited the production of O2 •− and H2O2 and browning‐related enzymes, and thus delayed the longan pericarp browning.
The Correlation of the Neutrophil-Lymphocyte Ratio and the Platelet-Lymphocyte Ratio With Pathological Findings in Neuroendocrine Tumors

Introduction The relationship between clinical prognostic factors and blood neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in some tumors has been investigated. In this study, we examined whether there is a relationship between pathological prognostic factors and NLR as well as PLR only in neuroendocrine tumors (NETs). Methods A total of 115 patients with a NET diagnosis between 2014-2020 were included in the study. The efficiency of NLR and PLR in predicting distant metastases was determined by analyzing the receiver operating characteristic (ROC) curve. The relationship between histopathological parameters was also compared. Results The cut-off value of NLR was 3.01 for predicting distant metastasis. At this value, the specificity was 73.7%, the sensitivity was 70.7%, and the likelihood ratio was 2.51. There was a significant relationship between NLR and tumor localization, histological grade, mitosis, Ki-67, distant metastasis, and lymphovascular invasion (all p<0.001). The cut-off value of the PLR in predicting distant metastasis was 134.4. At this value, the specificity was 59.6%, the sensitivity was 58.6%, and the likelihood ratio was 1.44. There was no significant relationship between PLR and the histopathological findings (all p>0.05). Conclusions In our study, a high histological grade, high mitosis, a high Ki-67 proliferation index, distant metastasis, and lymphovascular invasion were found in patients with NLR at a cut-off value above 3.01. However, we could not attain the same results for PLR. For trucut and endoscopic biopsies in particular, follow-up of patients with grades 1 and 2 NETs along with histopathological findings and evaluation of NLR in peripheral blood may be useful. NLR, which is an easily accessible inflammatory marker, can be used as an independent predictive factor in NETs.