Miracle-dz/UniFAR-FTUs huggingface dataset:
A Routine Activity Approach to Understand Cybergrooming Victimization Among Adolescents from Six Countries

Little attention has been given academically to empirically tested theoretical frameworks that aim at measuring the risk of adolescents falling victim to cybergrooming. To this end, we have applied the routine activity theory (RAT) to investigate whether exposure to motivated offenders (PC/laptop ownership and Internet access in one's own bedroom), capable guardianship (parental mediation strategies of Internet use), and target suitability (adolescents' online disclosure of private information) might predict cybergrooming victimization among adolescents. Using data from a cross-sectional survey of 5,938 adolescents from Germany, India, South Korea, Spain, Thailand, and the United States, ranging in age from 12 to 18 (M = 14.77, SD = 1.60), we found that PC/laptop ownership and Internet access in one's own bedroom, parental mediation, and online disclosure are all directly associated with cybergrooming victimization. Although instructive parental mediation is negatively related to online disclosure and cybergrooming victimization, restrictive mediation is positively related to both. In addition, online disclosure partially mediated the relationship between parental mediation and cybergrooming victimization. The analyses confirm the effectiveness of applying RAT to cybergrooming. Moreover, this study highlights the need for prevention programs, including lessons on age-appropriate information and communication technology usage and access, to educate parents on using instructive strategies of Internet mediation, and inform adolescents about how to avoid disclosing too much private information online. RAT could function as a theoretical framework for these programs.
The “olfactory fingerprint”: can diagnostics be improved by combining canine and digital noses?

Abstract A sniffer (detecting) dog is conventionally defined as an animal trained to use its olfactory perceptions for detecting a vast array of substances, mostly volatile organic compounds (VOCs), including those exceptionally or exclusively generated in humans bearing specific pathologies. Such an extraordinary sniffing performance translates into the capability of detecting compounds close to the femtomolar level, with performance comparable to that of current mass spectrometry-based laboratory applications. Not only can dogs accurately detect “abnormal volatilomes” reflecting something wrong happening to their owners, but they can also perceive visual, vocal and behavioral signals, which altogether would contribute to raise their alertness. Although it seems reasonable to conclude that sniffer dogs could never be considered absolutely “diagnostic” for a given disorder, several lines of evidence attest that they may serve as efficient screening aids for many pathological conditions affecting their human companions. Favorable results have been obtained in trials on cancers, diabetes, seizures, narcolepsy and migraine, whilst interesting evidence is also emerging on the capability of early and accurately identifying patients with infectious diseases. This would lead the way to proposing an “olfactory fingerprint” loop, where evidence that dogs can identify the presence of human pathologies provides implicit proof of the existence of disease-specific volatilomes, which can be studied for developing laboratory techniques. Contextually, the evidence that specific pathologies are associated with abnormal VOC generation may serve as reliable basis for training dogs to detect these compounds, even (or especially) in patients at an asymptomatic phase.
Methods for generalized change‐point models: with applications to human immunodeficiency virus surveillance and diabetes data

In many epidemiological and biomedical studies, the association between a response variable and some covariates of interest may change at one or several thresholds of the covariates. Change‐point models are suitable for investigating the relationship between the response and covariates in such situations. We present change‐point models, with at least one unknown change‐point occurring with respect to some covariates of a generalized linear model for independent or correlated data. We develop methods for the estimation of the model parameters and investigate their finite‐sample performances in simulations. We apply the proposed methods to examine the trends in the reported estimates of the annual percentage of new human immunodeficiency virus (HIV) diagnoses linked to HIV‐related medical care within 3 months after diagnosis using HIV surveillance data from the HIV prevention trial network 065 study. We also apply our methods to a dataset from the Pima Indian diabetes study to examine the effects of age and body mass index on the risk of being diagnosed with type 2 diabetes.
Neuroanatomy of dyslexia: An allometric approach

Despite evidence for a difference in total brain volume between dyslexic and good readers, no previous neuroimaging study examined differences in allometric scaling (i.e. differences in the relationship between regional and total brain volumes) between dyslexic and good readers. The present study aims to fill this gap by testing differences in allometric scaling and regional brain volume differences in dyslexic and good readers. Object‐based morphometry analysis was used to determine grey and white matter volumes of the four lobes, the cerebellum and limbic structures in 130 dyslexic and 106 good readers aged 8–14 years. Data were collected across three countries (France, Poland and Germany). Three methodological approaches were used as follows: principal component analysis (PCA), linear regression and multiple‐group confirmatory factor analysis (MGCFA). Difference in total brain volume between good and dyslexic readers was Cohen's d = 0.39. We found no difference in allometric scaling, nor in regional brain volume between dyslexic and good readers. Results of our three methodological approaches (PCA, linear regression and MGCFA) were consistent. This study provides evidence for total brain volume differences between dyslexic and control children, but no evidence for differences in the volumes of the four lobes, the cerebellum or limbic structures, once allometry is taken into account. It also finds no evidence for a difference in allometric relationships between the groups. We highlight the methodological interest of the MGCFA approach to investigate such research issues.
Exercise-Induced Muscle Damage and Cardiac Stress During a Marathon Could be Associated with Dietary Intake During the Week Before the Race

Adequate food intake is important prior to endurance running competitions to facilitate adequate exercise intensity. However, no investigations have examined whether dietary intake could prevent exercise-induced muscle damage (EIMD) and cardiac stress (EICS). Thus, this study’s objective was to determine the associations between EIMD, EICS and endurance athlete diets one week before a marathon race. Sixty-nine male runners participated in this study. Food intake during the week prior to the race was collected through a seven-day weighed food record. Dietary intake on race day was also recorded. At the end of the marathon, blood samples were drawn to determine serum creatine kinase (CK) and myoglobin, and muscle–brain isoform creatine kinase (CK-MB), prohormone of brain natriuretic peptide (NT-proBNP), cardiac troponin I (TNI), and cardiac troponin T (TNT) concentration as markers of EIMD and EICS, respectively. To determine the association between these variables, a stepwise regression analysis was carried out. The dependent variable was defined as EIMD or EICS and the independent variables were defined as the number of servings within each different food group. Results showed that the intake of meat during the previous week was positively associated with post-race CK (Standardized Coefficients (β) = 0.643; p < 0.01) and myoglobin (β = 0.698; p < 0.001). Vegetables were negatively associated the concentration of post-race CK (β = −0.482; p = 0.002). Butter and fatty meat were positively associated with NT-proBNP (β = 0.796; p < 0.001) and TNI (β = 0.396; p < 0.001) post-marathon values. However, fish intake was negatively associated with CK (β = −0.272; p = 0.042), TNI (β = −0.593; p < 0.001) and TNT (β = −0.640; p = 0.002) post-marathon concentration. Olive oil was negatively associated with TNI (β = −0.536; p < 0.001) and TNT (β = −0.415; p = 0.021) values. In conclusion, the consumption of meat, butter, and fatty meat might be associated with higher levels of EIMD and EICS. On the other hand, fish, vegetables, and olive oil might have a protective role against EIMD and EICS. The selection of an adequate diet before a marathon might help to reduce some of the acute burdens associated with marathon races.
CROX (Cluster Regulation of RUNX) as a Potential Novel Therapeutic Approach

Comprehensive inhibition of RUNX1, RUNX2, and RUNX3 led to marked cell suppression compared with inhibition of RUNX1 alone, clarifying that the RUNX family members are important for proliferation and maintenance of diverse cancers, and “cluster regulation of RUNX (CROX)” is a very effective strategy to suppress cancer cells. Recent studies reported by us and other groups suggested that wild-type RUNX1 is needed for survival and proliferation of certain types of leukemia, lung cancer, gastric cancer, etc. and for their one of metastatic target sites such as born marrow endothelial niche, suggesting that RUNX1 often functions oncogenic manners in cancer cells. In this review, we describe the significance and paradoxical requirement of RUNX1 tumor suppressor in leukemia and even solid cancers based on recent our findings such as “genetic compensation of RUNX family transcription factors (the compensation mechanism for the total level of RUNX family protein expression)”, “RUNX1 inhibition-induced inhibitory effects on leukemia cells and on solid cancers through p53 activation”, and “autonomous feedback loop of RUNX1-p53-CBFB in acute myeloid leukemia cells”. Taken together, these findings identify a crucial role for the RUNX cluster in the maintenance and progression of cancers and suggest that modulation of the RUNX cluster using the pyrrole-imidazole polyamide gene-switch technology is a potential novel therapeutic approach to control cancers.
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment

Traditional image aesthetics assessment (IAA) approaches mainly predict the average aesthetic score of an image. However, people tend to have different tastes on image aesthetics, which is mainly determined by their subjective preferences. As an important subjective trait, personality is believed to be a key factor in modeling individual’s subjective preference. In this paper, we present a personality-assisted multi-task deep learning framework for both generic and personalized image aesthetics assessment. The proposed framework comprises two stages. In the first stage, a multi-task learning network with shared weights is proposed to predict the aesthetics distribution of an image and Big-Five (BF) personality traits of people who like the image. The generic aesthetics score of the image can be generated based on the predicted aesthetics distribution. In order to capture the common representation of generic image aesthetics and people’s personality traits, a Siamese network is trained using aesthetics data and personality data jointly. In the second stage, based on the predicted personality traits and generic aesthetics of an image, an inter-task fusion is introduced to generate individual’s personalized aesthetic scores on the image. The performance of the proposed method is evaluated using two public image aesthetics databases. The experimental results demonstrate that the proposed method outperforms the state-of-the-arts in both generic and personalized IAA tasks.
Solvate Cation Migration and Ion Correlations in Solvate Ionic Liquids.

Lithium salt-glyme mixtures are interesting candidates as electrolytes for battery applications. Depending on the type of glyme or anion and the salt concentration, their properties range from ionic liquid-like behavior with stable lithium-glyme complex cations to a concentrated salt solution-like behavior. Here, we apply electrophoretic NMR (eNMR) to elucidate transport mechanisms by observing the migration of the molecular species in an electric field. We investigate two solvate ionic liquids, i.e. lithium bis(trifluoro¬methane¬sulfonyl)amide (LiTFSA) and lithium tetrafluoroborate (LiBF4), in tetraglyme (G4) at different glyme-salt molar ratios X. A field-induced migration of the neutral glyme molecules is directly observed, which is due to stable solvate-Li complex formation. Transference numbers, effective charges and ionicities are derived from electrophoretic mobilities and self-diffusion coefficients, respectively, for the nuclei 1H, 7Li and 19F. The effective charges are highest at the equimolar mixture, X = 1, they differ strongly for lithium and anion, and they show large differences between both systems. These findings are qualitatively interpreted in a speciation model, suggesting anionic clusters and solvate cations as the species dominating charge transport. The resulting effective charges can only be explained taking into account ion-ion anticorrelations in the framework of the Onsager formalism, where anticorrelations between the solvate cation and the anionic complexes arise due to momentum conservation. The contributions to the anticorrelation are most dominant at high salt concentrations, and in the system with the LiBF4- anion due to its lower mass and ability to form larger asymmetric clusters with Li+. Thus, in either system, also the lithium transference number is influenced to a different extent by ion-ion anticorrelations.
Giardia spp. cysts and Cryptosporidium spp. oocysts in drinking water treatment residues: comparison of recovery methods for quantity assessment

ABSTRACT Water treatment plant (WTP) residues, e.g. sludge and filter backwash water (FBW), may contain pathogenic microorganisms, as Giardia spp. and Cryptosporidium spp. However, recovering protozoa from such matrices lacks a formal and precise protocol, which is imperative to improve research in their detection, removal and inactivation. The latter includes a deeper challenge as some recovery methods may compromise viability. This study applied different recovery methods for G. muris cysts and C. parvum oocysts spiked into settled sludge and FBW obtained from a bench treatment. Procedures in sludge involved direct centrifugation, alkaline and acid flocculation, including purification by immunomagnetic separation (IMS). FBW samples were tested for membrane filtration (MF) and heated Tween® scrapings followed or not by IMS. Propidium iodide (PI) inclusion was used for oocyst viability evaluation prior and after recovery. Results with purified suspensions lead to higher recovery efficiencies (RE) for C. parvum, which was assumed to relate to poor G. muris fluorescence. Analytical quality assessments were carried out with ColorSeed® for the methods that stood out for each matrix and the results indicated lower RE than when organisms from purified suspensions were recovered. Ferric sulphate flocculation and MF, both followed by IMS reached 32.25% and 11.00% RE for Giardia spp. and 19.61% and 2.00% for Cryptosporidium spp. , respectively. All of the tested methods affected oocyst viability. These results encourage further research to overcome the matrices complexity explained in this paper and increase RE, taking effects in protozoa viability into consideration. GRAPHICAL ABSTRACT
Data‐driven analysis of JAK2V617F kinetics during interferon‐alpha2 treatment of patients with polycythemia vera and related neoplasms

Treatment with PEGylated interferon‐alpha2 (IFN) of patients with essential thrombocythemia and polycythemia vera induces major molecular remissions with a reduction in the JAK2V617F allele burden to undetectable levels in a subset of patients. A favorable response to IFN has been argued to depend upon the tumor burden, implying that institution of treatment with IFN should be as early as possible after the diagnosis. However, evidence for this statement is not available. We present a thorough analysis of unique serial JAK2V617F measurements in 66 IFN‐treated patients and in 6 untreated patients. Without IFN treatment, the JAK2V617F allele burden increased exponentially with a period of doubling of 1.4 year. During monotherapy with IFN, the JAK2V617F allele burden decreased mono‐ or bi‐exponentially for 33 responders of which 28 patients satisfied both descriptions. Bi‐exponential description improved the fits in 19 cases being associated with late JAK2V617F responses. The decay of the JAK2V617F allele burden during IFN treatment was estimated to have half‐lives of 1.6 year for the monoexponential response and 1.0 year in the long term for the bi‐exponential response. In conclusion, through data‐driven analysis of the JAK2V617F allele burden, we provide novel information regarding the JAK2V617F kinetics during IFN‐treatment, arguing for early intervention.
State Nurse Practitioner Practice Regulations and U.S. Health Care Delivery Outcomes: A Systematic Review

There is a great variation across states in nurse practitioner (NP) scope of practice moderated by state regulations. The purpose of this study was to synthesize the evidence from studies of the impact of state NP practice regulations on U.S. health care delivery outcomes (e.g., health care workforce, access to care, utilization, care quality, or cost of care), guided by Donabedian’s structure, process, and outcomes framework. This systematic review was performed using Medline, CINAHL, PsycINFO, and PubMed according to Preferred Reporting Items for Systematic and Meta-Analysis on the literature from January 2000 to August 2019. The results indicate that expanded state NP practice regulations were associated with greater NP supply and improved access to care among rural and underserved populations without decreasing care quality. This evidence could provide guidance for policy makers in states with more restrictive NP practice regulations when they consider granting greater practice independence to NPs.
Scale and context dependency of deforestation drivers: Insights from spatial econometrics in the tropics

A better understanding of deforestation drivers across countries and spatial scales is a precondition for designing efficient international policies and coherent land use planning strategies such as REDD+. However, it is so far unclear if the well-studied drivers of tropical deforestation behave similarly across nested subnational jurisdictions, which is crucial for efficient policy implementation. We selected three countries in Africa, America and Asia, which present very different tropical contexts. Making use of spatial econometrics and a multi-level approach, we conducted a set of regressions comprising 3,035 administrative units from the three countries at micro-level, plus 361 and 49 at meso- and macro-level, respectively. We included forest cover as dependent variable and seven physio-geographic and socioeconomic indicators of well-known drivers of deforestation as explanatory variables. With this, we could provide a first set of highly significant econometric models of pantropical deforestation that consider subnational units. We identified recurrent drivers across countries and scales, namely population pressure and the natural condition of land suitability for crop production. The impacts of demography on forest cover were strikingly strong across contexts, suggesting clear limitations of sectoral policy. Our findings also revealed scale and context dependencies, such as an increased heterogeneity at local scopes, with a higher and more diverse number of significant determinants of forest cover. Additionally, we detected stronger spatial interactions at smaller levels, providing empirical evidence that certain deforestation forces occur independently of the existing de jure governance boundaries. We demonstrated that neglecting spatial dependencies in this type of studies can lead to several misinterpretations. We therefore advocate, that the design and enforcement of policy instruments—such as REDD+—should start from common international entry points that ensure for coherent agricultural and demographic policies. In order to achieve a long-term impact on the ground, these policies need to have enough flexibility to be modified and adapted to specific national, regional or local conditions.
HIV-positive migrants’ experience of living in Sweden

ABSTRACT Background: There is a limited knowledge of the impact of being human immunodeficiency virus (HIV)-positive on migrants living in Sweden. It is therefore important to gain a general awareness of this issue in order to maintain the wellbeing of this vulnerable group of patients and to develop an adequate social support network. Objective: The aim of this study was to explore HIV-positive migrants’ experiences of their life situations, living in Sweden. Method: A qualitative, exploratory study was performed using semi-structured interviews with 14 HIV-positive migrants, aged 29–55 years, and analyzed with qualitative content analysis. The participants were recruited from three clinics for infectious diseases in western Sweden. Results: The results are presented in the following three categories: ´Vulnerability in social relationships’, ‘Fear of disclosure”, and ‘Resilience’. The results illustrated the participants’ experiences of vulnerability in their social relationships, fear of disclosing HIV status, feeling lonely and stigmatized, and lacking social network and support. Furthermore, the results illustrated participants’ challenges in finding a partner, due to their fear of being recognized because of their HIV-infection. However, the result indicated participants’ struggling for a normal life with integrity, and that their need to look positively at life. Conclusions: In the actual study loneliness, fear of disclosure, perceived stigma, and the lack of a social network had significant impact on the life situations of the HIV positive migrants. Fear of disclosure and the challenge of finding a partner and friends were the main obstacles. It is crucial to increase access for these patients to supporting networks that will promote their empowerment and trust.
A Bibliometric Analysis of Microalgae Research in the World, Europe, and the European Atlantic Area

A bibliographic database of scientific papers published by authors affiliated worldwide, especially focused in Europe and in the European Atlantic Area, and containing the keywords “microalga(e)” or “phytoplankton” was built. A corpus of 79,020 publications was obtained and analyzed using the Orbit Intellixir software to highlight the evolution of the research domain. Publication rates from 1960 to 2019, organization of the research, collaboration networks between countries and organizations, emerging and fading research concepts, major studied species, and associated concepts, as well as journals publishing microalgae research were considered. As a result, of the 79,020 papers published worldwide, 26,137 included authors from Europe (33% of world production) and 6989 from the European Atlantic Area (AA) (27% of European production, 9% of world production). The main worldwide scientific research topics found in this study were phytoplankton, community, bloom, diatoms, distribution, ecosystem, coastal, chlorophyll, zooplankton, photosynthesis, and primary production. At the European scale, the most studied topics were related to the environment, food, chemicals, pigments, protein, feed, and drugs. The highest scientific trends and market opportunities analysis identified bioplastics and biostimulants as top emerging concepts at the European level and agricultural, animal feed, and blue biotechnology at the European AA level.