Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams

Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization. Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual features between them in an unsupervised way. However, such methodologies are ineffective to deal with heterogeneous events, e.g. taking a walk, and temporary changes in the sight direction, e.g. at a meeting. To address these limitations, we propose Contextual Event Segmentation (CES), a novel segmentation paradigm that uses an LSTM-based generative network to model the photo-stream sequences, predict their visual context, and track their evolution. CES decides whether a frame is an event boundary by comparing the visual context generated from the frames in the past, to the visual context predicted from the future. We implemented CES on a new and massive lifelogging dataset consisting of more than 1.5 million images spanning over 1,723 days. Experiments on the popular EDUB-Seg dataset show that our model outperforms the state-of-the-art by over 16% in f-measure. Furthermore, CES' performance is only 3 points below that of human annotators.
Soluble Expression of Humanized Anti-CD20 Single Chain Antibody in Escherichia coli by Cytoplasmic Chaperones Co-expression

Background: CD20 is an important cell surface receptor that is used for target therapy of B cell lymphoma and some related blood diseases due to vital function of CD20. In previous studies, a Rituximab based humanized single chain variable fragment (scFv) antibody showed good reactivity against B cell related cancer cells. But this recombinant protein produced Inclusion Bodies (IBs) in Escherichia coli (E. coli) cytoplasm. The aim of this study was to investigate the effect of coexpression with cytoplasmic chaperones on expression and solubility of humanized anti-CD20 scFv in E. coli. Methods: For this purpose, the fragment coding for anti-CD20 huscFv subcloned into the pET22b (+) and transformed into the E. coli BL21 (DE3) was evaluated. In order to inhibit the production of IBs, the effects of co-expression with cytoplasmic chaperones GroEL, DnaK, GroES, Tig, DnaJ and GrpE were investigated. Result: Coexpression with cytoplasmic chaperones led to increased soluble expression of anti-CD20 recombinant protein. Among investigated chaperones, pKJE7 chaperone plasmid containing DnaJ, GrpE, DnaK chaperone genes had significant effects with an expression yield of 325 μg/ml soluble anti-CD20 scFv. Conclusion: The result of this study demonstrated remarkable effect of pKJE7 chaperone on enhancement of soluble expression of anti-CD20 huscFv antibody in E. coli.
Military Sexual Assault as a Mediator of the Association Between Posttraumatic Stress Disorder and Depression Among Lesbian, Gay, and Bisexual Veterans.

Lesbian, gay, and bisexual (LGB) civilians report higher rates of sexual assault, posttraumatic stress disorder (PTSD), and depression compared to their heterosexual counterparts. In this study, we compared military sexual assault (MSA), PTSD, and depression in LGB individuals and their non-LGB peers in two community samples of veterans (N = 2,583). Participants were selected for inclusion if they identified as LGB (n = 110) and were matched 1 to 3 on gender and age with non-LGB veterans (n = 330). Chi-square analyses showed significant differences for LGB veterans compared to non-LGB veterans for experiencing MSA (32.7% vs. 16.4%, respectively), p < . 001; probable PTSD (41.2% vs. 29.8%, respectively), p = . 039; and probable depression (47.9% vs. 36.0%, respectively), p = . 039. Multivariable logistic regression analyses showed LGB veterans were 1.93 times more likely to have experienced MSA compared to non-LGB veterans, 95% CI [1.30, 2.88], p = . 001. The experience of MSA significantly mediated associations with probable PTSD, odds ratio (OR) = 1.43, 95% CI [1.13, 1.80], p = . 003, and probable depression, OR = 1.32, 95% CI [1.07, 1.64], p = . 009. As the experience of MSA fully mediates the presence of PTSD and depression among LGB veterans, we highly recommend health providers assess for MSA among LGB veterans, especially those who meet clinical thresholds for PTSD and depression.
On Eccentricity-Based Topological Indices Study of a Class of Porphyrin-Cored Dendrimers

It is revealed from the previous studies that there is a strong relation between the chemical characteristic of a chemical compound and its molecular structure. Topological indices defined on the molecular structure of biomolecules can help to gain a better understanding of their physical features and biological activities. Eccentricity connectivity indices are distance-based molecular structure descriptors that have been used for the mathematical modeling of biological activities of diverse nature. As the porphyrin has photofunctional properties, such as a large absorption cross-section, fluorescence emission, and photosensitizing properties, due to these properties, porphyrin dendrimers can be used as photofunctional nanodevices. In this paper, we compute the exact formulae of different versions of eccentric connectivity index and their corresponding polynomials for a class of porphyrin-cored dendrimers. The results obtained can be used in computer-aided molecular design methods applied to pharmaceutical engineering.
Prognostic Value of Thyroid Profile in Critical Care Condition

Background: Patients suffering from critical illness admitted to the Intensive Care Unit (ICU) exhibit alterations in their thyroid hormone levels, collectively termed as euthyroid sick syndrome or nonthyroidal illness syndrome. Our study was conducted to determine the correlation between these changes in thyroid hormone levels and the prognosis of ICU-admitted patients. Methods: A total of 270 ICU-admitted patients without previous history of thyroid disorder were included in the study. We recorded their baseline characteristics, acute physiology and chronic health evaluation (APACHE-II) score, thyroid hormone levels, lactate, and other parameters on admission. ICU mortality was the primary outcome. We analyzed the ability of each parameter to predict mortality in the participants. Further, we also evaluated whether the combination of thyroid hormone levels with APACHE-II score could improve the mortality prediction. Results: The mean age of the study population was 38.99 ± 18.32 years. A total of 81 patients (30%) expired during their ICU treatment. Both fT3 and fT4 levels were lower in nonsurvivors compared to survivors. Among the thyroid hormones, fT3 had the highest predictive value for ICU mortality, as seen by the largest area under the curve (AUC) value (0.990 ± 0.007) which was even greater than AUC of APACHE-II score (0.824 ± 0.051) and fT4 (0.917 ± 0.049). Univariate logistic regression analysis showed that fT3 (β = 140.560) had the highest predictive potential for ICU mortality compared with APACHE-II score (β = 0.776), fT4 (β = 17.62) and other parameters. Multivariate logistic regression analysis revealed that the combination of fT3 and APACHE-II (R2 = 0.652) was superior in predicting mortality than APACHE-II alone (R2 = 0.286). Conclusion: We observed that fT3 was the strongest predictor of ICU mortality compared to all other parameters included in our study. Further, the combination of fT3 levels and APACHE-II scores provided for a higher probability for predicting mortality in ICU patients.
Neural symptoms in a gene knockout mouse model of Sjögren‐Larsson syndrome are associated with a decrease in 2‐hydroxygalactosylceramide

Insulation by myelin lipids is essential to fast action potential conductivity: changes in their quality or amount can cause several neurologic disorders. Sjögren‐Larsson syndrome (SLS) is one such disorder, which is caused by mutations in the fatty aldehyde dehydrogenase ALDH3A2. To date, the molecular mechanism underlying SLS pathology has remained unknown. In this study, we found that Aldh3a2 is expressed in oligodendrocytes and neurons in the mouse brain, and neurons of Aldh3a2 knockout (KO) mice exhibited impaired metabolism of the long‐chain base, a component of sphingolipids. Aldh3a2 KO mice showed several abnormalities corresponding to SLS symptoms in behavioral tests, including increased paw slips on a balance beam and light‐induced anxiety. In their brain tissue, 2‐hydroxygalactosylceramide, an important lipid for myelin function and maintenance, was reduced by the inactivation of fatty acid 2‐hydroxylase. Our findings provide important new insights into the molecular mechanisms responsible for neural pathogenesis caused by lipid metabolism abnormalities. —Kanetake, T. , Sassa, T. , Nojiri, K. , Sawai, M. , Hattori, S. , Miyakawa, T. , Kitamura, T. , Kihara, A. Neural symptoms in a gene knockout mouse model of Sjögren‐Larsson syndrome are associated with a decrease in 2‐hydroxygalactosylceramide. FASEB J. 33, 928–941 (2019). www.fasebj. org
One‐step CRISPR/Cas9 method for the rapid generation of human antibody heavy chain knock‐in mice

Here, we describe a one‐step, in vivo CRISPR/Cas9 nuclease‐mediated strategy to generate knock‐in mice. We produced knock‐in (KI) mice wherein a 1.9‐kb DNA fragment bearing a pre‐arranged human B‐cell receptor heavy chain was recombined into the native murine immunoglobulin locus. Our methodology relies on Cas9 nuclease‐induced double‐stranded breaks directed by two sgRNAs to occur within the specific target locus of fertilized oocytes. These double‐stranded breaks are subsequently repaired via homology‐directed repair by a plasmid‐borne template containing the pre‐arranged human immunoglobulin heavy chain. To validate our knock‐in mouse model, we examined the expression of the KI immunoglobulin heavy chains by following B‐cell development and performing single B‐cell receptor sequencing. We optimized this strategy to generate immunoglobulin KI mice in a short amount of time with a high frequency of homologous recombination (30–50%). In the future, we envision that such knock‐in mice will provide much needed vaccination models to evaluate immunoresponses against immunogens specific for various infectious diseases.
Liquid biopsy and PCR-free ultrasensitive detection systems in oncology (Review)

In oncology, liquid biopsy is used in the detection of next-generation analytes, such as tumor cells, cell-free nucleic acids and exosomes in peripheral blood and other body fluids from cancer patients. It is considered one of the most advanced non-invasive diagnostic systems to enable clinically relevant actions and implement precision medicine. Medical actions include, but are not limited to, early diagnosis, staging, prognosis, anticipation (lead time) and the prediction of therapy responses, as well as follow-up. Historically, the applications of liquid biopsy in cancer have focused on circulating tumor cells (CTCs). More recently, this analysis has been extended to circulating free DNA (cfDNA) and microRNAs (miRNAs or miRs) associated with cancer, with potential applications for development into multi-marker diagnostic, prognostic and therapeutic signatures. Liquid biopsies avoid some key limitations of conventional tumor tissue biopsies, including invasive tumor sampling, under-representation of tumor heterogeneity and poor description of clonal evolution during metastatic dissemination, strongly reducing the need for multiple sampling. On the other hand, this approach suffers from important drawbacks, i.e., the fragmentation of cfDNA, the instability of RNA, the low concentrations of certain analytes in body fluids and the confounding presence of normal, as well as aberrant DNAs and RNAs. For these reasons, the analysis of cfDNA has been mostly focused on mutations arising in, and pathognomonicity of, tumor DNA, while the analysis of cfRNA has been mostly focused on miRNA patterns strongly associated with neoplastic transformation/progression. This review lists some major applicative areas, briefly addresses how technology is bypassing liquid biopsy limitations, and places a particular emphasis on novel, PCR-free platforms. The ongoing collaborative efforts of major international consortia are reviewed. In addition to basic and applied research, we will consider technological transfer, including patents, patent applications and available information on clinical trials aimed at verifying the potential of liquid biopsy in cancer.
Beached bachelors: An extensive study on the largest recorded sperm whale Physeter macrocephalus mortality event in the North Sea

Between the 8th January and the 25th February 2016, the largest sperm whale Physeter macrocephalus mortality event ever recorded in the North Sea occurred with 30 sperm whales stranding in five countries within six weeks. All sperm whales were immature males. Groups were stratified by size, with the smaller animals stranding in the Netherlands, and the largest in England. The majority (n = 27) of the stranded animals were necropsied and/or sampled, allowing for an international and comprehensive investigation into this mortality event. The animals were in fair to good nutritional condition and, aside from the pathologies caused by stranding, did not exhibit significant evidence of disease or trauma. Infectious agents were found, including various parasite species, several bacterial and fungal pathogens and a novel alphaherpesvirus. In nine of the sperm whales a variety of marine litter was found. However, none of these findings were considered to have been the primary cause of the stranding event. Potential anthropogenic and environmental factors that may have caused the sperm whales to enter the North Sea were assessed. Once sperm whales enter the North Sea and head south, the water becomes progressively shallower (<40 m), making this region a global hotspot for sperm whale strandings. We conclude that the reasons for sperm whales to enter the southern North Sea are the result of complex interactions of extrinsic environmental factors. As such, these large mortality events seldom have a single ultimate cause and it is only through multidisciplinary, collaborative approaches that potentially multifactorial large-scale stranding events can be effectively investigated.
Association between caspase recruitment domain-containing protein 8 rs2043211 polymorphism and cardiovascular disease susceptibility: A systematic review and meta-analysis

Objective: To verify the association between the caspase recruitment domain-containing protein 8 (CARD8) single nucleotide polymorphism rs2043211 in the CARD8 gene and cardiovascular diseases. Methods: A comprehensive search was conducted for related literature in the PubMed, Embase, Cochrane Library, Web of Science, Wanfang Data, and China National Knowledge Infrastructure databases. At last, Six eligible case-control studies were included in this meta-analysis. Crude odds ratios (ORs) and 95% confidence intervals (CI) were calculated to estimate the strength of the association between CARD8 rs2043211 polymorphisms and the susceptibility of cardiovascular diseases. Results: For the homozygous model, OR was 1.21 (1.08-1.36, I2=0.0%, Pheterogeneity=0.542). For the heterozygous model (AT vs. AA), OR was 1.20 (1.04–1.38, I2=57.2%, Pheterogeneity=0.039). For the dominant model, OR was 1.24 (1.14-1.34, I2=38.5%, Pheterogeneity=0.149). For the allele model, OR was 0.96 (0.77-1.20, I2=92.7%, Pheterogeneity=0.000). For the recessive model, OR was 1.00 (0.91-1.10, I2=48.4%, Pheterogeneity=0.085). Conclusion: The present study showed that CARD8 rs2043211 polymorphism is associated with cardiovascular diseases.
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams

The concept of stochastic configuration networks (SCNs) others a solid framework for fast implementation of feedforward neural networks through randomized learning. Unlike conventional randomized approaches, SCNs provide an avenue to select appropriate scope of random parameters to ensure the universal approximation property. In this paper, a deep version of stochastic configuration networks, namely deep stacked stochastic configuration network (DSSCN), is proposed for modeling non-stationary data streams. As an extension of evolving stochastic connfiguration networks (eSCNs), this work contributes a way to grow and shrink the structure of deep stochastic configuration networks autonomously from data streams. The performance of DSSCN is evaluated by six benchmark datasets. Simulation results, compared with prominent data stream algorithms, show that the proposed method is capable of achieving comparable accuracy and evolving compact and parsimonious deep stacked network architecture.
Disruption by SaCas9 Endonuclease of HERV-Kenv, a Retroviral Gene with Oncogenic and Neuropathogenic Potential, Inhibits Molecules Involved in Cancer and Amyotrophic Lateral Sclerosis

The human endogenous retrovirus (HERV)-K, human mouse mammary tumor virus like-2 (HML-2) subgroup of HERVs is activated in several tumors and has been related to prostate cancer progression and motor neuron diseases. The cellular splicing factor 2/alternative splicing factor (SF2/ASF) is a positive regulator of gene expression, coded by a potent proto-oncogene, amplified, and abnormally expressed in tumors. TAR DNA-binding protein-43 (TDP-43) is a DNA/RNA-binding protein, negative regulator of alternative splicing, known for causing neurodegeneration, and with complex roles in oncogenesis. We used the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 technology, with the Cas9 system from Staphylococcus aureus (SaCas9), to disrupt the HERV-K(HML-2)env gene, and evaluated the effects on cultured cells. The tool was tested on human prostate cancer LNCaP cells, whose HERV-Kenv transcription profile is known. It caused HERV-K(HML-2)env disruption (the first reported of a HERV gene), as evaluated by DNA sequencing, and inhibition of env transcripts and proteins. The HERV-K(HML-2)env disruption was found to interfere with important regulators of cell expression and proliferation, involved in manaling, RNA-binding, and alternative splicing, such as epidermal growth factor receptor (EGF-R), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), SF2/ASF, and TDP-43. These novel findings suggest that HERV-K is not an innocent bystander, they reinforce its links to oncogenesis and motor neuron diseases, and they open potential innovative therapeutic options.
Facebook: Risks and Opportunities in Brazilian and Portuguese Youths with Different Levels of Psychosocial Adjustment

Abstract This study aimed to assess the risks and opportunities associated with Facebook usage and to explore the moderating role of psychosocial (mal)adjustment, nationality and age in these relationships. This correlational study involved a sample of 452 Brazilian and 500 Portuguese youths, aged between 14 and 20 years. Results showed that these youths spent a daily average of 61-120 minutes on Facebook, three to four times per week, displaying a positive attitude towards its use. These characteristics were most notable in the Brazilian youths [t(950) = 5.64, p < . 001; t(950) = –5.07, p < . 001; and t(950) = – 6.85, p < . 001, respectively]. The Portuguese youths ran more risks than the Brazilians [t(950) = 6.36, p < . 001], but both youths equally enjoyed the opportunities. In the case of the Portuguese youths, the risks and opportunities were moderated by the frequency of use, in other words “the higher the usage, the more risks and opportunities” (β = –.235 p < .001and β = –.167, p < .001, respectively). The psychosocial adjustment indicators did not moderate the effects of Facebook usage habits in risks and opportunities. The less psychosocially adjusted youths were those who ran more risks and also made the most of the opportunities. The results are discussed in light of the role of psychological, socio-cultural and developmental factors.
Off-host longevity of the winged dispersal stage of Carnus hemapterus (Insecta: Diptera) modulated by gender, body size and food provisioning

Abstract Highlighting the dispersal ecology of parasites is important for understanding epidemiological, demographic and coevolutionary aspects of host–parasite interactions. Yet, critical aspects of the dispersal stage of parasites, such as longevity and the factors influencing it, are poorly known. Here we study the lifespan of the dispersal stage of an ectoparasitic dipteran, Carnus hemapterus, and the impact of gender, body size and food provisioning on longevity. We found that freshly emerged imagoes survive at most less than 4 days. Longevity increased with body size and, since this parasite exhibits sexual size dimorphism, the bigger females lived longer than males. However, controlling for body size suggests that males lived relatively longer than females. Furthermore, a humid environment and food provisioning (flowers) significantly increased individual life spans. We discuss the relative importance of spatial and temporal dispersal in relation to the infectious potential of this parasite.
Cytokines IL-17, TNF and IFN-γ Alter the Expression of Antimicrobial Peptides and Proteins Disparately: A Targeted Proteomics Analysis using SOMAscan Technology

Antimicrobial peptides, also known as host defence peptides, are immunomodulatory molecules required to resolve infections. Antimicrobial peptides and proteins (APPs) are important in the control of infections in the lungs. Despite evidence that APPs exhibit a wide range of immune functions and modulate inflammation, the effect of inflammatory cytokines on the expression of APPs is not completely defined. In this study, we profiled the expression of 39 different APPs in human bronchial epithelial cells (HBEC) using Slow Off-rate Modified Aptamer (SOMAmer)-based protein array, in the presence and absence of three different inflammatory cytokines (IL-17, TNF and IFN-γ). Expression of 13 different APPs was altered in response to IL-17, TNF or IFN-γ. Independent validations of selected proteins from the proteomics screen i.e., those that were significantly enhanced by >2-fold change (p < 0.01) using western blots conclusively demonstrated that inflammatory cytokines alter the expression of APPs differentially. For example, the abundance of cathepsin S was enhanced by only IFN-γ, whereas lipocalin-2 was increased by IL-17 alone. Abundance of elafin increased in presence of IL-17 or TNF, but decreased in response to IFN-γ. Whereas the abundance of cathepsin V decreased following stimulation with IL-17, TNF and IFN-γ. The results of this study demonstrate that inflammatory cytokines alter the expression of APPs disparately. This suggests that the composition of the inflammatory cytokine milieu may influence APPs abundance and thus alter the processes required for infection control and regulation of inflammation in the lungs.
Exploring Shifting Densities through a Movement-based Cartographic Interface

Animated maps are widely used for representing shifting densities. Though there is evidence that animations can provide better memory recall than static charts, it could be a consequence of using better techniques for animation than for static representations. However, the lack of control makes them frustrating for users, while animated choropleth maps can cause change blindness. In this paper, we propose an interactive animation technique which employs the lenticular printing metaphor and beneﬁts from the user’s proprioceptive sense to explore density changes over time. We hypothesized that using a tangible interface based on the body movement would improve memory recall and, consequently, animated map reading