Miracle-dz/UniFAR-FTUs huggingface dataset:
Peptide-Based Soft Hydrogels Modified with Gadolinium Complexes as MRI Contrast Agents

Poly-aromatic peptide sequences are able to self-assemble into a variety of supramolecular aggregates such as fibers, hydrogels, and tree-like multi-branched nanostructures. Due to their biocompatible nature, these peptide nanostructures have been proposed for several applications in biology and nanomedicine (tissue engineering, drug delivery, bioimaging, and fabrication of biosensors). Here we report the synthesis, the structural characterization and the relaxometric behavior of two novel supramolecular diagnostic agents for magnetic resonance imaging (MRI) technique. These diagnostic agents are obtained for self-assembly of DTPA(Gd)-PEG8-(FY)3 or DOTA(Gd)-PEG8-(FY)3 peptide conjugates, in which the Gd-complexes are linked at the N-terminus of the PEG8-(FY)3 polymer peptide. This latter was previously found able to form self-supporting and stable soft hydrogels at a concentration of 1.0% wt. Analogously, also DTPA(Gd)-PEG8-(FY)3 and DOTA(Gd)-PEG8-(FY)3 exhibit the trend to gelificate at the same range of concentration. Moreover, the structural characterization points out that peptide (FY)3 moiety keeps its capability to arrange into β-sheet structures with an antiparallel orientation of the β-strands. The high relaxivity value of these nanostructures (~12 mM−1·s−1 at 20 MHz) and the very low in vitro cytotoxicity suggest their potential application as supramolecular diagnostic agents for MRI.
Factors affecting MS patients’ health-related quality of life and measurement challenges in Lebanon and the MENA region

Background In the Middle East and North Africa (MENA) region, few studies explored the quality of life of multiple sclerosis patients and the factors affecting it. Objective The objective of this study was to explore studies on multiple sclerosis quality of life in the MENA area through a comprehensive literature review. To validate the Multiple sclerosis international Quality of Life (MusiQoL) and Modified Fatigue Impact Scale (MFIS) in Arabic, and investigate the impact of sociodemographic and clinical variables of Lebanese multiple sclerosis patients on quality of life. Methods As part of an ongoing observational prospective research study, data from 663 stable multiple sclerosis patients were analysed. Results In Lebanese multiple sclerosis patients, the Arabic MusiQoL and MFIS seem to be accurate and valid tools with high reliability coefficients and confirmatory factor analytic indices. Variables such as age and disease type predicted multiple sclerosis quality of life, yet were significantly affected by psychosocial fatigue. The influence of sociodemographic and clinical variables on quality of life dimensions varied. Being a woman with multiple sclerosis, receiving medications and experiencing physical fatigue worsens the psychological wellbeing quality of life dimension. Conclusion Several sociodemographic and clinical variables predicted the health-related quality of life dimensions of multiple sclerosis patients in MENA. Further in-depth investigation to guide more targeted clinical management is recommended. We encourage using validated multidimensional tools to measure quality of life in MENA such as the Arabic MusiQoL.
Sub-event detection from twitter streams as a sequence labeling problem

This paper introduces improved methods for sub-event detection in social media streams, by applying neural sequence models not only on the level of individual posts, but also directly on the stream level. Current approaches to identify sub-events within a given event, such as a goal during a soccer match, essentially do not exploit the sequential nature of social media streams. We address this shortcoming by framing the sub-event detection problem in social media streams as a sequence labeling task and adopt a neural sequence architecture that explicitly accounts for the chronological order of posts. Specifically, we (i) establish a neural baseline that outperforms a graph-based state-of-the-art method for binary sub-event detection (2.7% micro-F1 improvement), as well as (ii) demonstrate superiority of a recurrent neural network model on the posts sequence level for labeled sub-events (2.4% bin-level F1 improvement over non-sequential models).
Effect of preemptive analgesia with ibuprofen in the control of postoperative pain in dental implant surgeries: A randomized, triple-blind controlled clinical trial

Background Preemptive analgesia has as its basic principle the administration of analgesics before the onset of painful stimuli, in order to reduce or prevent postoperative pain, but this question is little explored in implantology. Thus, this study was conducted in order to evaluate the clinical efficacy of ibuprofen in pain prevention after unit implant surgery. Material and Methods For this triple-blind, parallel, placebo-controlled and randomized clinical trial, 54 insertion surgeries of unitary implants were performed. Two groups have received two different protocols 1 hour before surgery: Ibuprofen group (IBU) 600 mg of ibuprofen; and (2) placebo group (maize starch). The intensity of the pain was evaluated through the visual analogue scale (VAS) in 6 times (1, 6, 12, 24, 48 and 72 hours after the surgery). Patients were instructed to take 750 mg of paracetamol as rescue medication, if necessary. The occurrence and the intensity of pain were analyzed by means of an analysis of variance ANOVA with repeated measurements using the general linear model procedure. Results The IBU group had significantly lower VAS scores overall (IBU = 0.30, ± 0.57; placebo = 1.14, ± 1.07; p<0.001) and at all times in the intra, intergroup comparisons and time/group interaction than the placebo group (p<0.001). The use of rescue medication was significantly lower and the postoperative time was longer in the IBU group compared to placebo (p = 0.002). Conclusions The single use of ibuprofen was found to be significantly superior in reducing pain after unit implant surgery compared to placebo. Key words:Analgesia, dental implants, pain, surgery, oral.
Expression of ESR1 and ESR2 oestrogen receptor encoding gene and personality traits – preliminary study

Introduction The main objective of the study is to examine the hypothesis claiming a correlation between personality traits measured with the use of the Minnesota Multiphasic Personality Inventory (MMPI-2) personality questionnaire and the expression of the ERα (ESR1) and ERβ (ESR2) encoding gene in patients suffering from depression. Material and methods The experiment was carried out on a group of 44 individuals with depression. The Polish variant of the MMPI-2 was applied with the aim of assessing personality traits. Furthermore, the authors evaluated the expression of the genes encoding the oestrogen receptors (ERα and ERβ) at the mRNA level and protein level in the studied population. Results No significant differences in the expression of ERα and ERβ encoding genes were found and confirmed in the patients with the first episode of depression and those suffering from subsequent episodes of the disease. No differences were found between women and men, either. In women a positive relationship was found between the scale of psychopathy (p = 0.04), paranoia (p = 0.01), and mania (p = 0.03) and expression for the ERα encoding gene at the mRNA level. A negative relationship was found between the mania scale and ERβ encoding gene expression at mRNA (p = 0.03) and protein (p = 0.04) levels. In males a positive relationship between anxiety as a personality trait and expression of the ERβ receptor encoding gene at mRNA level (p = 0.03) and protein level (p = 0.03) was found. Conclusions Personality traits may be linked with the expression of genes encoding oestrogen receptors (ERα and ERβ) among patients with depressive disorders.
Zeolitic Imidazolate Framework-8/Polypropylene-Polycarbonate Bark-Like Meltblown Fibrous Membranes by Facile In-Situ Growth Method for Efficient PM2.5 Capture.

Environmental pollution problems, especially air pollution, seriously endanger public health globally. Facing the severe air pollution, air filters still have many challenges, especially in terms of filtration performance and filtration stability. Herein, a zeolitic imidazolate framework-8/polypropylene-polycarbonate bark-like meltblown fibrous membrane (PPC/ZIF-8) was designed through meltblown and in-situ growth method, achieved efficient PM2.5 capture and great filtration stability under harsh environment. After in-situ growth, the PPC/ZIF-8 membrane can dramatically enhance the PM2.5 filtration efficiency without increasing the pressure drop, the PM2.5 filtration efficiency and quality factor up to 32.83 % and 116.86 % higher than pure PPC membrane, respectively. Moreover, through five filtration-wash-dry cycles, the PM2.5 filtration performance is still at a high level. This PPC/ZIF-8 membrane provides a new strategy for the preparation of air filter with excellent comprehensive filtration performance.
Depression symptoms and negative online disclosure among young adults in college: a mixed-methods approach

Abstract Background: Social media may be novel and promising avenues to identify youth at risk for depression. Missing from prior research on youth social media use in the service of mental health is our understanding of the kinds of negative experiences young people disclose online and their associations with depression symptoms. Aims: Using a mixed-methods approach, this study: (1) examined the association between depression symptoms and online disclosure of negative emotions; (2) explored the kinds of negative experiences young adults, in their own words, disclosed online; and (3) investigated the associations between depression symptoms and the online disclosure of negative experiences. Methods: Young adults in college (N = 261; 66 males, 195 females Mage 22) completed quantitative as well as qualitative questionnaires about their Facebook content and use and about their mental health (e.g. depression symptoms). Responses were analyzed using a thematic analysis, and a series of binary logistic regression analyses, controlling for age, gender, Facebook use and self-esteem. Results: An inductive thematic analysis of 121 qualitative responses reflecting negative emotional states revealed fours themes of negative experiences: life hassles, relationships, academics and work. Binary logistic regression analyses revealed that youth who reported higher depression symptoms were two times more likely to disclose negative emotions online and were three times more likely to disclose various hassles online than their peers who reported lower symptoms. Active Facebook users were almost two times more likely than less active users to disclose negative academic experiences. Conclusions: Online disclosure of negative emotions and experiences are linked with depression symptoms. Further, online disclosure of negative experiences may also reflect normative, age-related instabilities. In sum, social media may be promising avenues to detect mental health concerns (e.g., depression) in early adulthood.
Modulation of the CCR5 Receptor/Ligand Axis by Seminal Plasma and the Utility of In Vitro versus In Vivo Models

The majority of HIV-1 vaccine studies do not take into consideration the impact that semen exposure might have on the mucosal immune system. In this study, we demonstrate that seminal plasma (SP) exposure can alter CCR5 expression on T cells. Importantly, in vitro studies of T cells in culture cannot replicate the conditions under which immune cells might be recruited to the genital mucosa in vivo, leading to potentially erroneous conclusions about the impact of semen on mucosal HIV-1 susceptibility. ABSTRACT Sexual HIV-1 transmission occurs primarily in the presence of semen. Although data from macaque studies suggest that CCR5+ CD4+ T cells are initial targets for HIV-1 infection, the impact of semen on T cell CCR5 expression and ligand production remains inconclusive. To determine if semen modulates the lymphocyte CCR5 receptor/ligand axis, primary human T cell CCR5 expression and natural killer (NK) cell anti-HIV-1 antibody-dependent beta chemokine production was assessed following seminal plasma (SP) exposure. Purified T cells produce sufficient quantities of RANTES to result in a significant decline in CCR5bright T cell frequency following 16 h of SP exposure (P = 0.03). Meanwhile, NK cells retain the capacity to produce limited amounts of MIP-1α/MIP-1β in response to anti-HIV-1 antibody-dependent stimulation (median, 9.5% MIP-1α+ and/or MIP-1β+), despite the immunosuppressive nature of SP. Although these in vitro experiments suggest that SP-induced CCR5 ligand production results in the loss of surface CCR5 expression on CD4+ T cells, the in vivo implications are unclear. We therefore vaginally exposed five pigtail macaques to SP and found that such exposure resulted in an increase in CCR5+ HIV-1 target cells in three of the animals. The in vivo data support a growing body of evidence suggesting that semen exposure recruits target cells to the vagina that are highly susceptible to HIV-1 infection, which has important implications for HIV-1 transmission and vaccine design. IMPORTANCE The majority of HIV-1 vaccine studies do not take into consideration the impact that semen exposure might have on the mucosal immune system. In this study, we demonstrate that seminal plasma (SP) exposure can alter CCR5 expression on T cells. Importantly, in vitro studies of T cells in culture cannot replicate the conditions under which immune cells might be recruited to the genital mucosa in vivo, leading to potentially erroneous conclusions about the impact of semen on mucosal HIV-1 susceptibility.
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules

There is accumulating evidence in the literature that stability of learning algorithms is a key characteristic that permits a learning algorithm to generalize. Despite various insightful results in this direction, there seems to be an overlooked dichotomy in the type of stability-based generalization bounds we have in the literature. On one hand, the literature seems to suggest that exponential generalization bounds for the estimated risk, which are optimal, can be only obtained through stringent, distribution independent and computationally intractable notions of stability such as uniform stability. On the other hand, it seems that weaker notions of stability such as hypothesis stability, although it is distribution dependent and more amenable to computation, can only yield polynomial generalization bounds for the estimated risk, which are suboptimal. In this paper, we address the gap between these two regimes of results. In particular, the main question we address here is whether it is possible to derive exponential generalization bounds for the estimated risk using a notion of stability that is computationally tractable and distribution dependent, but weaker than uniform stability. Using recent advances in concentration inequalities, and using a notion of stability that is weaker than uniform stability but distribution dependent and amenable to computation, we derive an exponential tail bound for the concentration of the estimated risk of a hypothesis returned by a general learning rule, where the estimated risk is expressed in terms of either the resubstitution estimate (empirical error), or the deleted (or, leave-one-out) estimate. As an illustration, we derive exponential tail bounds for ridge regression with unbounded responses -- a setting where uniform stability results of Bousquet and Elisseeff (2002) are not applicable.
Novichoks: The Dangerous Fourth Generation of Chemical Weapons

“Novichoks” is the name given to the controversial chemical weapons supposedly developed in the former Soviet Union between the 1970s and the 1990s. Designed to be undetectable and untreatable, these chemicals became the most toxic of the nerve agents, being very attractive for both terrorist and chemical warfare purposes. However, very little information is available in the literature, and the Russian government did not acknowledge their development. The intent of this review is to provide the IJMS readers with a general overview on what is known about novichoks today. We briefly tell the story of the secret development of these agents, and discuss their synthesis, toxicity, physical-chemical properties, and possible ways of treatment and neutralization. In addition, we also wish to call the attention of the scientific community to the great risks still represented by nerve agents worldwide, and the need to keep constant investments in the development of antidotes and ways to protect against such deadly compounds.
Comparative Web Search Questions

\beginabstract We analyze comparative questions, i.e., questions asking to compare different items, that were submitted to Yandex in 2012. Responses to such questions might be quite different from the simple "ten blue links'' and could, for example, aggregate pros and cons of the different options as direct answers. However, changing the result presentation is an intricate decision such that the classification of comparative questions forms a highly precision-oriented task. From a year-long Yandex log, we annotate a random sample of 50,000~questions; 2.8%~of which are comparative. For these annotated questions, we develop a precision-oriented classifier by combining carefully hand-crafted lexico-syntactic rules with feature-based and neural approaches---achieving a recall of~0.6 at a perfect precision of~1.0. After running the classifier on the full year log (on average, there is at least one comparative question per second), we analyze 6,250~comparative questions using more fine-grained subclasses (e.g., should the answer be a "simple'' fact or rather a more verbose argument) for which individual classifiers are trained. An important insight is that more than 65%~of the comparative questions demand argumentation and opinions, i.e., reliable direct answers to comparative questions require more than the facts from a search engine's knowledge graph. In addition, we present a qualitative analysis of the underlying comparative information needs (separated into 14~categories likeconsumer electronics orhealth ), their seasonal dynamics, and possible answers from community question answering platforms. \endabstract
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics.

Both humans and non-human animals exhibit sensitivity to the approximate number of items in a visual array, as indexed by their performance in numerosity discrimination tasks, and even neonates can detect changes in numerosity. These findings are often interpreted as evidence for an innate "number sense". However, recent simulation work has challenged this view by showing that human-like sensitivity to numerosity can emerge in deep neural networks that build an internal model of the sensory data. This emergentist perspective posits a central role for experience in shaping our number sense and might explain why numerical acuity progressively increases over the course of development. Here we substantiate this hypothesis by introducing a progressive unsupervised deep learning algorithm, which allows us to model the development of numerical acuity through experience. We also investigate how the statistical distribution of numerical and non-numerical features in natural environments affects the emergence of numerosity representations in the computational model. Our simulations show that deep networks can exhibit numerosity sensitivity prior to any training, as well as a progressive developmental refinement that is modulated by the statistical structure of the learning environment. To validate our simulations, we offer a refinement to the quantitative characterization of the developmental patterns observed in human children. Overall, our findings suggest that it may not be necessary to assume that animals are endowed with a dedicated system for processing numerosity, since domain-general learning mechanisms can capture key characteristics others have attributed to an evolutionarily specialized number system.
Electrocardiographic parameters of Sapajus libidinosus (SPIX, 1823) after chemical immobilization with tiletamine‐zolazepam

Tiletamine‐zolazepam is a widely used as an alternative chemical immobilization method in non‐human primates, with a safe application pathway and necessary relaxation. In order to determine the electrocardiographic parameters of Sapajus libidinosus after intramuscular tiletamine‐zolazepam administration at the dose of 5 mg/kg, nine animals were submitted to anesthesia.
Do Sleep Disorders Positively Correlate with Dry Eye Syndrome? Results of National Claim Data

Purpose: Dry eye syndrome (DES) is a common disease with an increasing occurrence. Although DES symptoms are considered mild, it can reduce quality of life for individuals. Many studies on DES have been conducted, but these focused on the use of electronic devices. Here, we investigate an association between DES and sleep disorders in the context of emerging health issues. Methods: Our data came from the National Health Insurance Service (NHIS) National Sample Cohort, which included 44,366 patients and was based on a 1:1 matching method (sleep disorder patients vs. patients without sleep disorders) during 2012–2015. Using survival analysis with a Cox proportional hazard model, we identified an association of sleep disorders with DES. Results: About 16.7% of all patients were diagnosed with DES, and prevalence was higher in patients with sleep disorders (sleep disorders: 19.82%, no sleep disorders: 13.67%). Survival analysis showed that sleep disorders positively correlated with DES diagnosis (Hazard Ratio (HR): 1.320, 95% Confidence Interval (CI): 1.261–1.382, p-value < 0.0001). Positive trends were enhanced in males, younger patients, lower economic levels, and with higher severity of comorbid. Conclusions: Our findings suggest that sleep disorder was positively associated with DES. This correlation can be helpful in effective management of both sleep disorders and DES in South Koreans.
Graft Detachment After Descemet's Stripping Automated Endothelial Keratoplasty in Bullous Keratopathy and Fuchs Dystrophy

Descemet’s stripping automated endothelial keratoplasty (DSAEK) is a surgical technique for corneal transplantation in case of corneal decompensation. One of the main complications is graft detachment (GD) recoverable with Air Re-bubbling (ARB). The aim of this retrospective, interventional case series was to identify factors related to this complication in eyes operated for bullous keratopathy (BK) and Fuchs dystrophy (FD). We considered one-hundred patients who underwent DSAEK for BK or FD between January 2016 and October 2017 at Department of Ophthalmology, Policlinico Universitario of Bari, Italy. Studied parameters included physiological and pathological anamnesis of both donors and recipients and properties of donor’s lenticules and of the recipient’s corneas. Data was analyzed using One-way ANOVA with Tukey post hoc test and Chi-square test with Odds Ratio (OR) calculation. We grouped patients according to diagnosis. GD occurred in 9 eyes affected by BK and 19 by FD (p=0.003, OR = 0.25, 95% CI, 0.098-0.62). It was recovered with ARB. In BK, ARB correlated to complicated cataract extraction (p=0.04, OR = 7.83, 95% CI, 1.28 – 47.98) and aphakia (p=0.026, OR = 54.38, 95% CI, 2.51 - 11.76). In FD, ARB was associated to donor’s death for neoplasia (p=0.06, OR= 4.04, 95% CI, 1.06 – 15.37). No other differences were found. In conclusion, we could hypothesize that in FD patients, donor’s cancer therapy may play a role on altered corneal fibroblast metabolism, activating a synergetic effect between chemotherapy and genetic alteration of FD, which may lead to an altered adhesion of donor’s lenticule on recipient's stroma. In BK patients, complicated cataract extraction and aphakic status of recipients’ eye may contribute to altered adhesion of donor’s lenticule post-DSAEK.