Miracle-dz/UniFAR-FTUs huggingface dataset:
Directed Graph Clustering Algorithms, Topology, and Weak Links

In this article, a general approach for directed graph clustering and two new density-based clustering objectives are presented. First, using an equivalence between the clustering objective functions and a trace maximization expression, the directed graph clustering objectives are converted into the corresponding weighted kernel $k$ -means problems. Then, a nonspectral algorithm, which covers both the direction and weight information of the directed graphs, is thus proposed. Next, with Rayleigh’s quotient, the upper and lower bounds of clustering objectives are obtained. After that, we introduce a new definition of weak links to characterize the effectiveness of clustering. Finally, illustrative examples are given to demonstrate effectiveness of the results. This article provides a glance at the potential connection between density-based and pattern-based clustering. Compared with other approaches for directed graph clustering, the method proposed in this article naturally avoids the loss of the nonsymmetric edge data because there is no need for any additional symmetrization.
Duelo complicado, experiencias perceptuales inusuales y esperanza en la viudez

The overall objective of this study is to assess grief in religious widows and hope, and the frequency of unusual perceptual experiences after the death of the spouse. It is hypothesized that (H1) religious widows will experience less complicated grief, (H2) greater hope, and (H3) higher frequency of unusual perceptual experiences than non-religious widows. Three instruments, the Complicated Grief Inventory, the Hope Scale, and the Hallucinations Questionnaire were administered to a sample consisting of religious widows and a control group (non-religious widows). The results showed that religious widows experienced less complicated grief than non-religious widows, and fewer feelings of pessimism about the death of the loved one. Religious widows who showed higher feelings of hope, compared to non-religious, tended to have fewer indicators of complicated grief. Furthermore, those religious widows who displayed feelings associated with remembering the deceased tended, for example, to hear voices and smell perfumes. It is possible that these occurrences may even be functional and adaptive to cope with the negative feelings of grief and loss, rather than resulting in a resource deficit mechanism for dealing with pain and hopelessness.
Photocatalytic and Magnetic Properties of the Fe-TiO 2 /SnO 2 Nanofiber Via Electrospinning

Fe-doped TiO2/0.03SnO2 hybrid nanofiber has been prepared via electrospinning method. The magnetic property versus Fe-doping content was characterized, and the corresponding photocatalytic activity under visible light radiation was evaluated by using Rhodamine B (RhB) degradation as a probe reaction. The hybrid nanofiber has proved to be an excellent visible light-excitable photocatalyst with much higher photocatalytic activity than undoped TiO2/SnO2 hybrid nanofibers. The magnetic properties have also been characterized for the Fe-TiO2/SnO2 nanofibers before and after annealing under vacuum atmosphere, and nanofibers shows obvious ferromagnetic property at room temperature as they were annealed. It is believed that this nanofiber may become a potential photocatalyst in environmental remediation.
A Practical Guide to Doing Behavioral Research on Fake News and Misinformation

Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioral research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whether they would share it on social media). This guide is intended to help researchers navigate the unique challenges that come with this type of research. Principle among these issues is that the nature of news content that is being spread on social media (whether it is false, misleading, or true) is a moving target that reflects current affairs in the context of interest. Steps are required if one wishes to present stimuli that allow generalization from the study to the real-world phenomenon of online misinformation. Furthermore, the selection of content to include can be highly consequential for the study’s outcome, and researcher biases can easily result in biases in a stimulus set. As such, we advocate for pretesting materials and, to this end, report our own pretest of 224 recent true and false news headlines, both relating to U.S. political issues and the COVID-19 pandemic. These headlines may be of use in the short term, but, more importantly, the pretest is intended to serve as an example of best practices in a quickly evolving area of research.
Graph Convolution Neural Network for predicting Photo-excited State Properties of Indole C8H7N Absorption Spectra

Absorption spectroscopy is a very important tool in chemistry which predicts which part of the electromagnetic radiation is absorbed by a molecule, giving a unique signature for each molecule. All photo-responsive biological phenomena (i.e., photosynthesis, photocatalysis, UV absorption of DNA leading to skin cancer, and fluorescence in biological systems) are initiated by absorption of light, so many recent efforts have been shifted towards accurately modeling the spectra of molecules, where the collective vibrational effects have been identified to significantly affect the spectra shape in electronic spectroscopy. With the growing promise of deep learning in predicting properties in photo-excited molecules, this research explores the feasibility of applying the SchNet deep learning model to predict excited states properties of a molecule with added complexity outside the popular QM9 and MD17 datasets. We have found the graph convolutional structure of SchNet to account for the molecular dynamics requirements and reproduce the spectra with significantly less time and computational resources.
Reviving the milk man: Consumers’ evaluations of circular reusable packaging offers

: The question of prolonging the lifetime of food packages before they are disposed of has largely been overlooked. Yet, reusing packaging could bring interesting environmental benefits. In this research, we take a consumer perspective and test whether returnable packaging for fast-moving consumer goods (FMCG) has the potential to be adopted by consumers. The results of two experimental studies show that evaluations of returnable packaging are generally positive. Consumers perceive returnable packages as much more eco-friendly than their disposable counterparts, and the product inside as more qualitative even though the tested products were sensitive (i.e. yoghurt and ice-cream). In addition, they are more likely to recommend a product sold in a returnable packaging and high environmentally concerned individuals are more likely to repurchase it. However, when signs of usage resulting from multiple uses were introduced on the returnable packaging, attitudes were generally less positive and individuals were also less likely to recommend and repurchase the product. These results highlight the importance of downplaying the negative effects of signs of usage in the design of returnable packaging.
Virtual-Reality-basierte Konzepte in der Medizin und der Rheumatologie

ZUSAMMENFASSUNG Virtual Reality (VR) bezeichnet die Darstellung und gleichzeitige Wahrnehmung der Wirklichkeit und ihrer physikalischen Eigenschaften in einer in Echtzeit computergenerierten, interaktiven virtuellen Umgebung. Die VR wird mittlerweile erfolgreich in der Medizin eingesetzt und hat einen Stellenwert in der medizinischen Therapie bzw. Behandlung wie auch in der medizinischen Ausbildung gewonnen. Etablierte Einsatzgebiete sind z. B. die Behandlung von Angststörungen oder die chirurgische Ausbildung. In der Rheumatologie findet VR bislang wenig Beachtung und Einsatz. Medizinisch-therapeutisch gibt es erste Daten bei Patienten mit Fibromyalgie zum Einsatz der VR, um die Wahrnehmung von Schmerz zu verändern. In der medizinischen Ausbildung gibt es eine rheumatologische didaktische VR-Applikation mit Fokus auf typischen ossären Veränderungen bei rheumatoider Arthritis und Psoriasisarthritis, deren Einsatz in der Lehre ausgewählter Standorte erprobt wird. SUMMARY Virtual Reality (VR) refers to the representation and simultaneous perception of reality and its physical properties in a real-time computer-generated, interactive virtual environment. VR is now successfully used in medicine and has gained prominence in medical education as well as in patient treatment. Established areas of application include surgical training as well as the treatment of anxiety disorders and phobias. In rheumatology, VR has received little attention and use so far. There are first data in patients with fibromyalgia, where VR is used to change pain perception. A rheumatology didactic VR application focusing on typical osseous changes in rheumatoid arthritis and psoriatic arthritis has been developed and is now successfully used in teaching at selected sites.
Economic prospects for using the excursion potential of urban environments (case of Rostov-on-Don)

The article studies the issue of analyzing the possibilities of using urban objects for excursions from the point of view of economic benefits, since the tourism component is present in the economy of any city. Tourism and excursion services bring income to the city budget, the article considers the features of using excursion services at the facilities of the urban environment of Rostov-on-Don.
Paper mill sludge as a renewable substrate for the production of acetone-butanol-ethanol using Clostridium sporogenes NCIM 2337

ABSTRACT In the present study, pre-treated paper mill sludge (PMS) was evaluated extensively as a substrate for production of acetone-butanol-ethanol using Clostridium sporogenes NCIM 2337. The PMS was subjected to three types of pre-treatment methods namely alkali, mechanical, and thermal treatment and was analyzed by SEM. The pre-treatment of PMS by alkali was observed to be more effective over the other pre-treatment methods. The alkali pre-treated sludge was then made to undergo fermentation, which showed the conventional process of acidogenesis followed by solventogenesis. The acetone, butanol, and ethanol concentration for 15% alkali pre-treated PMS was estimated to be maximum.
Revascularization strategies in STEMI and multivessel disease

Abstract Introduction The main treatment for ST-elevation myocardial infarction (STEMI) is the re-establishment of the coronary flow of infarct-related arteries. However, 50% of cases present multivessel disease (MVD), negatively affecting mortality. Complete revascularization (CR) is currently advocated since it reduces major adverse cardiovascular events (MACE). Objective Evaluation of the adopted revascularization strategy and its prognostic value in a Portuguese cohort of STEMI patients with MVD. Material and methods Retrospective analysis of patients admitted with STEMI included in the Portuguese Registry of Acute Coronary Syndromes between 2010 and 2019. Patients were divided in two groups regarding revascularization strategy (complete versus incomplete) and compared. Independent predictors of a composite of all-cause mortality and rehospitalization for cardiovascular causes were assessed by multivariate logistic regression. Results A total of 3500 patients were included. A CR strategy was performed in 21.8% of patients, who were younger and healthier. They also presented more hemodynamically stable and had less kidney dysfunction and anaemia. Their coronary anatomy was less complex, with a higher prevalence of 2-vessel and a lower proportion of chronic occlusions. In-hospital and 1-year adverse events were less frequent between patients with CR. Conclusion In hemodynamically stable STEMI patients, CR substantially reduced in-hospital and 1-year all-cause mortality and MACE.
Comparative morphological and anatomical investigations on Corydalis caucasica subsp. abantensis Lidén and Corydalis integra Barbey & Fors.-Major (Papaveraceae) from Turkey

: In this study morphological and anatomical features of Corydalis caucasica subsp. abantensis and Corydalis integra which spreading naturally in the same area in Turkey were investigated. The morphological features that can be used to distinguish these two taxa from each other are given in a comparative table. Morphological data were obtained by using herbarium samples collected from different localities and their measurements were given comparatively. In anatomical study, cross and superficial sections from the leaves and cross sections from the stem and roots of the samples were taken and examined under the light microscope; thereby the anatomical structures were determined. Determined anatomical structures were measured and the data obtained were written comparatively. As a result, the morphological features of these two taxa were examined and information that would facilitate identification of these taxa was obtained. The anatomical properties of these two taxa, which were not encountered in any study before, have been elucidated for the first time.
Advanced method of managing soil conservation works in Smart Farms

The paper presents the results obtained in the SMART farm by using an advanced method of managing soil conservation works. These works involve, first of all, the collection and storage of data on the spot regarding the following parameters in which the plants will grow: disease climate (air temperature, dew point), growth climate (air temperature, solar radiation, deficiency vapours pressure, relative air humidity, precipitation, wind speed, maximum wind speed, daily evaporation) and soil monitoring (soil moisture, precipitation, soil salinity, soil temperature). Data collection is done through intelligent sensors from a wireless weather station and the reception of this information in real-time on a computer/smartphone by the farmer. Therefore, the farmer will be able to make instant decisions on soil conservation work, thusly saving time and workforce for additional on farm inspections.
The ambiguity of EU Policy Papers: Republic of Mali Tracing the Change through Constructivism

This paper will deal with the changing nature of the policy papers and released documents of the European Union regarding the Republic of Mali. Starting in 2013, the beginning of the European Union Military Training Mission in Mali, it is the scope to trace the changing argumentation of the legitimization of military presence in the country. The main argument will be that after the beginning of the military intervention and the defeat of the ASAWAD-State, security and migration where on the main agenda of the EU and led to a changing perception of Mali, which can be found in almost all policy papers. The theory used will be constructivism by Wendt with a methodological framework of Critical Discourse Analysis by Fairclough (1995), using the three step approach ‘Describe-Interpret-Explain’ to visualize the consistent change within official released policy papers.
Correlations of social media performance and electoral results in Brazilian presidential elections

The use of social media (SM) in modern political activities has reshaped how politicians run electoral campaigns. This study aims to improve the understanding of online campaigns and their correlation with electoral results. We focus on the 2018 Brazilian presidential campaign, which is well known for its strong online presence, and analyze how candidates used their SM profiles, as well as how citizens interacted with them. We propose a new set of metrics for modeling SM performance and identify statistical correlations between SM performance and votes received. For this, we analyzed more than 40,000 posts made by the 13 candidates on Brazil’s three major social networks (Facebook, Twitter, and Instagram) from January to October 2018. Results indicate that candidates used SM heavily throughout the year but focused on engaging words and avoided contentious topics. The most voted-for candidate received more than half (55%) of the interactions received by all the candidates. Posts’ interactions were highest on Instagram, where users were increasing the attention given to political content. Lastly, we found strong correlations between the proposed metrics and votes received. Thus, proposed metrics may support new models for predicting electoral results using combined data from many social networks.
Theoretical Investigations of Novel Materials for Nitrogen Fixation

This thesis is dedicated to the investigation and design of new catalyst materials for electrochemical ammonia production and especially the properties of the under-coordinated reaction sites on nanoparticles has been studied in great detail. Additionally, a universal transition state relation governing a large number of (de)hydrogenation reactions has been developed. The approach throughout the work is to use Density Functional Theory (DFT) to understand chemical reactions occurring at surfaces. I present an analysis of the transition state energies for 249 hydrogenation/dehydrogenation reactions of atoms and simple molecules over close-packed and stepped surfaces as well as nanoparticles of transition metals. Linear energy scaling relations are observed for the transition state structures leading to transition state scaling relations for all the investigated reactions. With a suitable choice of reference systems the transition state scaling relations form a universality class that can be approximated with one single linear relation describing the entire range of reactions over all types of surfaces and nanoclusters. Theoretical studies of producing ammonia electrochemically at ambient temperature and pressure without direct N2 dissociation are presented. The computational hydrogen electrode was used to calculate the free energy profile for the reduction of N2 admolecules and N adatoms with an applied potential on transition metal nanoclusters in contact with an acidic electrolyte. In a study, the extreme under-coordinated M12 nanocluster was used as a model system for very under-coordinated reaction sites. The work resulted in establishing linear scaling relations for reaction intermediates for the dissociative and the associative reaction mechanism, and for the key adsorbates hydrogen and nitrogen. These scaling relations and free energy corrections are used to establish volcanoes describing the onset potential for electrochemical ammonia production and hence describe the potential determining steps for the electrochemical ammonia production. The competing hydrogen evolution reaction has also been analyzed for comparison. The most promising candidates from this study were found to be Mo and Fe which would require potentials of -0.5 V to electochemically form ammonia. These metals still have a tight competition with hydrogen evolution reaction. On the basis of the M12 study, a molybdenum nanocluster of 13 atoms in the cuboctahedral structure was analyzed. Pathways for electrochemical am-
Mn−Co Mixed Oxide Nanosheets Vertically Anchored on H2Ti3O7 Nanowires: Full Exposure of Active Components Results in Significantly Enhanced Catalytic Performance

The full exposure of active ingredients plays an important role in the enhancement of catalytic performance. In this work, a series of novel catalysts, Mn−Co mixed oxide nanosheets with ultrathin thickness (about 3.5 nm) and different Mn/Co ratios (0.52, 0.69, and 1.52) vertically anchored on a support (H2Ti3O7 nanowires), are rationally developed. This unique structure not only fully exposes the active ingredients of the Mn−Co mixed oxides, but also is very favorable for the diffusion and transfer of gas molecules through the space between these standing nanosheets. As expected, the developed catalysts (MnOx‐CoOy/H2Ti3O7, MnCoTi), especially MnCoTi‐2 with the Mn/Co molar ratio of 0.69, present excellent low‐temperature selective catalytic reduction (SCR) performance, high N2 selectivity, superior water tolerance and stability. The relative turnover frequency (TOF) value over MnCoTi‐2 at 100 °C is as high as 9.25×10−4 s−1 under the gas hourly space velocity (GHSV) of 200 000 h−1, which is rarely reported among Mn‐Ti, Mn−Co, and Mn−Co‐Ti mixed oxide catalysts. The results of in situ diffuse reflectance infrared Fourier transform spectroscopy suggest that the coordinated NH3, NH4+ ions, adsorbed NO2, and bidentate nitrate are the reactive species and the Eley–Rideal and Langmuir–Hinshelwood mechanisms can be simultaneously involved on the surface of the MnCoTi‐2 at a relatively low temperature (90 °C).
Leptospirose caprina: os riscos de uma doença negligenciada

A leptospirose caracteriza-se como a zoonose bacteriana mais comum, sendo sua perpetuação garantida por condições ambientais favoráveis à sobrevivência das leptospiras, diversidade de sorovares e potenciais hospedeiros existentes. A instalação da enfermidade depende da imunidade inata ou adaptativa e estado fisiológico do hospedeiro, bem como do agente etiológico e características ambientais. Nos caprinos, a doença manifesta-se de forma inaparente, aguda ou crônica de acordo com o tipo de sorovar envolvido e longevidade da infecção. Cada modo de manifestação da leptospirose caprina abrange aspectos clínicos específicos e grande parte dos sinais clínicos detém patogenia desconhecida, pouco elucidada ou baseada em analogia. Disfunções reprodutivas, declínio da produção leiteira, redução na taxa de crescimento e manejo inadequado atuam como fatores limitantes à produção, acarretando prejuízos econômicos.
Levels of serum VEGF-C/D and CXCL-12 are related to the severity of proteinuria in diabetic nephropathy

Objective To investigate the relationship between serum levels of lymphangiogenic factors and type 2 diabetic nephropathy and to evaluate the role of lymphangiogenesis in diabetic nephropathy. Methods The patients were divided into a normal albuminuria group (UmAlb < 30 mg/24 h, n = 30), microalbuminuria group (UmAlb 30–300 mg/24 h, n = 30) and massive albuminuria group (UmAlb > 300 mg/24 h, n = 30), and 30 healthy individuals were enrolled as the healthy control group (n = 30). Levels of serum vascular endothelial growth factor-C (VEGF-C), vascular endothelial growth factor-D (VEGF-D) and chemokine ligand 12 (CXCL-12) were quantified by enzyme-linked immunosorbent assay kits. Results The serum levels of VEGF-C,VEGF-D and CXCL-12 were significantly increased in all type 2 diabetic nephropathy groups. The correlation analysis showed that serum levels of VEGF-C, VEGF-D and CXCL-12 were positively correlated with serum creatinine and urinary microalbumin, and negatively correlated with estimated glomerular filtration rate. For discriminating the DN patients in the massive albuminuria group, microalbuminuria group and normal albuminuria group, the areas under the receiver operating characteristic curve (AUC-ROCs) for VEGF-C were 0.668 (95%CI: 0.531–0.805), 0.799 (95%CI: 0.678–0.920), and 0.850 (95%CI: 0.756–0.944); when the cutoff values were 152.40, 196.05 and 214.60 pg/ml, and the sensitivity was 93.3%, 96.7% and 100.0%, the specificity was 40.0%, 50.0% and 56.7%, respectively. Conclusion Serum VEGF-C,VEGF-D and CXCL-12 levels gradually increased in diabetic nephropathy, which has high value for the early diagnosis and evaluation of disease severity in diabetic nephropathy. These findings suggest that serum VEGF-C,VEGF-D and CXCL-12 levels may be a useful surrogate marker of clinical outcome in DN.