Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of treatment methods for uncontrolled hypertension and its effects on atrial fibrillation: A systematic narrative review

Objectives: Uncontrolled hypertension is a main predisposing risk factor leading to chronic atrial fibrillation (AF). Although several treatment methods for patients with HTN and AF were developed in past decades, further investigations of their efficacies are needed. This systematic narrative review presents an overview of studies reporting treatment efficacies in patients with HTN and/or AF. Methods: A narrative-based systematic review was performed using EMBASE, Medline, PubMed, Google Scholar, and the Cochrane Library searching for relevant papers published between October 2008 and October 2018. Out of 4481 studies, only 15 studies could be included following the inclusion criteria. Results: Included studies reported treatment measures, measured outcomes, and efficacies in adult patients with HTN and AF with defined interventions and methodologies. Treatment methods with effective outcomes were administration of hydrochlorothiazide, losartan or atenolol, telmisartan or amlodipine, or general anti-hypertensive drugs. Treatment methods that showed the most effective outcomes (lowering AF recurrence and improving BP control) were those containing pulmonary vein (or antrum) isolation (PVI/PVAI) (6 studies) and/or in conjunction with renal denervation (RDN)(6 studies). Treatment methods showing the most effective outcomes were PVI/PVAI in conjunction with RDN. Conclusion: The latest evidence shows that PVI (in conjunction with RDN in some instances) was more efficacious among patients suffering from HTN and/or AF.
Customizing Clothing Retrieval Based on Semantic Attributes and Learned Features

Clothing attributes recognition and clothing retrieval have drown a lot of attentions in recent years. However, most of works focus on retrieving the most similar clothing to match the given query image, and ignore user’s extra requirements. To address the problem of rigid way for retrieving clothing images, we propose a novel approach for clothing retrieval based on semantic attributes and learned features with deep learning in a customized manner. Given a clothing query and user’s extra clothing attributes demands, we use a clothing detector to crop the clothing part out and feed it into a convolution neural network to extract the learned features and recognize semantic attributes, by taking both predicted attributes and required attributes into consideration, we can filter out a lot of irrelevant images in database, at last, we will use the learned features as clothing representation to retrieve remaining clothing images in database. In this way, we will give better matching images according to user’s demands and speed up the process of retrieval by filtering out irrelevant images in an elegant way.
A cross‐cultural study of Taiwanese and Kuwaiti EFL students’ learning styles and multiple intelligences: Innovations in Education and Teaching International: Vol 46, No 4

A cross‐cultural study of Taiwanese and Kuwaiti EFL students’ learning styles and multiple intelligences Shu‐hua Wu & Sulaiman Alrabah To cite this article: Shu‐hua Wu & Sulaiman Alrabah (2009) A cross‐cultural study of Taiwanese and Kuwaiti EFL students’ learning styles and multiple intelligences, Innovations in Education and Teaching International, 46:4, 393-403, DOI: 10.1080/14703290903301826 To link to this article: http://dx.doi. org/10.1080/14703290903301826
IMAGE MINING: SIMILARITY SEARCH BASED ON GENETIC OPTIMIZATION ALGORITHM FOR LARGE SCALE DATABASE

In digital technology, the usage of photo sharing websites are increased in recent years. So the multimedia data’s which has been communicated by the user are dumbed frequently. From the storage, retrieving the relevant information for the query became the challenging task among the research communities. In prior novel NDH method, the recognition rate was low in terms of detecting the similarity and dissimilarity among the images for the query sample. It also acquired more iterative procedure to obtain the optimized subset by updating the transformation matrix. So to improve the performance, the genetic optimization algorithm is incorporated. The optimized feature subset is obtained by the fitness value by considering the four feature extraction methods. The extensive experiments are carried out with four datasets and compared with the state-of-the-art techniques in MATLAB.
Three-dimensional myocardial strain correlates with murine left ventricular remodelling severity post-infarction

Heart failure continues to be a common and deadly sequela of myocardial infarction (MI). Despite strong evidence suggesting the importance of myocardial mechanics in cardiac remodelling, many MI studies still rely on two-dimensional analyses to estimate global left ventricular (LV) function. Here, we integrated four-dimensional ultrasound with three-dimensional strain mapping to longitudinally characterize LV mechanics within and around infarcts in order to study the post-MI remodelling process. To induce infarcts with varying severities, we separated 15 mice into three equal-sized groups: (i) sham, (ii) 30 min ischaemia–reperfusion, and (iii) permanent ligation of the left coronary artery. Four-dimensional ultrasound from a high-frequency small animal system was used to monitor changes in LV geometry, function and strain over 28 days. We reconstructed three-dimensional myocardial strain maps and showed that strain profiles at the infarct border followed a sigmoidal behaviour. We also identified that mice with mild remodelling had significantly higher strains in the infarcted myocardium than those with severe injury. Finally, we developed a new approach to non-invasively estimate infarct size from strain maps, which correlated well with histological results. Taken together, the presented work provides a thorough approach to quantify regional strain, an important component when assessing post-MI remodelling.
Incidence and clinical outcome of Cryptococcosis in a nation with advanced HIV surveillance program

Abstract Background Cryptococcosis is a major opportunistic invasive mycosis that mostly affects immunocompromised patients. Methods This was an observational study of all culture-confirmed cases of cryptococcosis conducted in the State of Qatar from January 2005 to December 2016. Cryptococcus fungi were identified using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS). Results Fourteen culture-confirmed cases of cryptococcosis were identified during the study period. Four patients had a Human Immunodeficiency Virus (HIV) infection with low CD4 count and five were receiving immunosuppressant medications. The rest of the patients were apparently immuno-competent. The central nervous system was the most common site of infection (57%) followed by bloodstream infection (36%) and pneumonia (14%). One patient had a cryptococcal scrotal infection. Twelve isolates were Cryptococcus neoformans and 2 were Cryptococcus laurentii. All isolates were within the wild type ECV values to amphotericin B and fluconazole. Only 2 patients with bloodstream infection (HIV negative) died. The rest were cured of the infection. Conclusion Cryptococcosis is a rare fungal disease in the State of Qatar, mostly diagnosed in Asian immigrants. The central nervous system is the most common site of infection. The presence of the fungus in the blood carries a high mortality.
“I am not just a me but I'm also a we”: Algorithmic Culture and Netflix's Sense8

Transgender representation has proliferated in the era of algorithmically driven digital media, marking an increase in trans visibility alongside a sharp decrease in the material well-being of transgender people. By positioning its sole transgender character as an avatar of the algorithmic era, Netflix's Sense8 reveals the ways in which algorithmic culture contributes to the paradox of trans media visibility.
Screening and Diversity Analysis of Aerobic Denitrifying Phosphate Accumulating Bacteria Cultivated from A2O Activated Sludge

The aerobic denitrifying phosphate accumulating bacteria (ADPB) use NO3− as an electron acceptor and remove nitrate by denitrification and concomitant uptake of excessive phosphorus in aerobic conditions. Activated sludge was collected from the A2O aerobic biological pool of the sewage treatment plant at Hezuo Town, Chengdu City. The candidate ADPB strains were obtained by cultivation in the enriched denitrification media, followed by repeated isolation and purification on bromothymol blue (BTB) solid plates. The obtained candidates were further screened for ADPB strains by phosphorus uptake experiment, nitrate reduction test, metachromatic granules staining, and poly-β-hydroxybutyrate (PHB) staining. The 16 sedimentation ribosome deoxyribonucleic acid (16 S rDNA) molecular technique was used to determine their taxonomy. Further, the denitrification and dephosphorization capacities of ADPB strains were ascertained through their growth characteristics in nitrogen-phosphorus-rich liquid media. The results revealed a total of 25 ADPB strains screened from the activated sludge of the A2O aerobic biological pool of the sewage treatment plant at Hezuo Town. These strains belonged to two classes, four orders, and five genera. Among them, the strain SW18NP2 was a potentially new species in the Acinetobacter genus, while the strain SW18NP24 was a potential new species in the Pseudomonas genus at the time of their characterization. The Acinetobacter was the dominant genus. The obtained ADPB strains demonstrated a rich diversity. The ADPB strains had significant variations in denitrification and dephosphorization capacities. Twenty-three strains exhibited a total phosphorus removal rate of above 50%, and 19 strains exhibited a total nitrogen removal rate of above 50%. The strain SW18NP2 showed the best denitrifying phosphorus removal (DPR) capacity, with a dephosphorization rate of 82.32% and a denitrification rate of 73.73%. The ADPB in the A2O aerobic biological pool of the sewage treatment plant at Hezuo Town demonstrated a rich diversity and a strong DPR capacity.
Dysregulated Expression of Antimicrobial Peptides in Skin Lesions of Patients with Cutaneous T-cell Lymphoma

Mycosis fungoides and Sezary syndrome belong to the group of primary cutaneous T-cell lymphomas. Because of the inflammatory appearance of the skin lesions, we hypothesized that antimicrobial peptides might be dysregulated in these conditions, similar to in inflammatory skin conditions. Samples from 20 patients with cutaneous T-cell lymphoma were analysed using immunohistochemistry and enzyme-linked immunoassay (ELISA) of skin washing fluids of hBD-2, hBD-3, RNase 7 and psoriasin. Immunohistochemistry results were compared with previous analyses of healthy and psoriatic skin. ELISA and immunohistochemistry revealed a higher expression of psoriasin in lesional cutaneous T-cell lymphoma compared with non-lesional and healthy samples. Immunohistochemistry showed an increase in hBD-2 in lesional cutaneous T-cell lymphoma skin compared with healthy skin. The expression profile of antimicrobial peptides in cutaneous T-cell lymphoma appears to be dysregulated, indicating a potential role of antimicrobial peptides in cutaneous T-cell lymphoma. A larger prospective study and functional studies are needed to improve our understanding of the role of antimicrobial peptides in cutaneous T-cell lymphoma.
Protective effects of human umbilical cord mesenchymal stem cell-derived conditioned medium on ovarian damage

Abstract Chemotherapeutic agents are extensively used to treat malignancies. However, chemotherapy-induced ovarian damage and reduced fertility are severe side effects. Recently, stem cell transplantation has been reported to be an effective strategy for premature ovarian insufficiency (POI) treatment, but safety can still be an issue in stem cell-based therapy. Here, we show the protective effects of human umbilical cord mesenchymal stem cell-derived conditioned medium (hUCMSC-CM) on a cisplatin (Cs)-induced ovarian injury model. hUCMSC-CM can relieve Cs-induced depletion of follicles and preserve fertility. In addition, hUCMSC-CM can decrease apoptosis of oocytes and granulosa cells induced by Cs. RNA sequencing analysis reveals the differentially expressed genes of ovaries after Cs and hUCMSC-CM treatments, including genes involved in cell apoptosis. Furthermore, we show that the granulocyte colony-stimulating factor (G-CSF)/phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) pathway plays an important role in protecting granulosa cells from Cs-induced apoptosis. Together, we confirm the protective effects of hUCMSC-CM on ovarian reserve and fertility in mice treated with Cs, highlighting the remarkable therapeutic effects of hUCMSC-CM.
Rational Engineering of Phenylalanine Accumulation in Pseudomonas taiwanensis to Enable High-Yield Production of Trans-Cinnamate

Microbial biocatalysis represents a promising alternative for the production of a variety of aromatic chemicals, where microorganisms are engineered to convert a renewable feedstock under mild production conditions into a valuable chemical building block. This study describes the rational engineering of the solvent-tolerant bacterium Pseudomonas taiwanensis VLB120 toward accumulation of L-phenylalanine and its conversion into the chemical building block t-cinnamate. We recently reported rational engineering of Pseudomonas toward L-tyrosine accumulation by the insertion of genetic modifications that allow both enhanced flux and prevent aromatics degradation. Building on this knowledge, three genes encoding for enzymes involved in the degradation of L-phenylalanine were deleted to allow accumulation of 2.6 mM of L-phenylalanine from 20 mM glucose. The amino acid was subsequently converted into the aromatic model compound t-cinnamate by the expression of a phenylalanine ammonia-lyase (PAL) from Arabidopsis thaliana. The engineered strains produced t-cinnamate with yields of 23 and 39% Cmol Cmol−1 from glucose and glycerol, respectively. Yields were improved up to 48% Cmol Cmol−1 from glycerol when two enzymes involved in the shikimate pathway were additionally overexpressed, however with negative impact on strain performance and reproducibility. Production titers were increased in fed-batch fermentations, in which 33.5 mM t-cinnamate were produced solely from glycerol, in a mineral medium without additional complex supplements. The aspect of product toxicity was targeted by the utilization of a streamlined, genome-reduced strain, which improves upon the already high tolerance of P. taiwanensis VLB120 toward t-cinnamate.
Beyond a rod through the skull: A systematic review of lesion studies of the human ventromedial frontal lobe

ABSTRACT Neuropsychological studies from the past century have associated damage to the ventromedial frontal lobes (VMF) with impairments in a variety of domains, including memory, executive function, emotion, social cognition, and valuation. A central question in the literature is whether these seemingly distinct functions are subserved by different sub-regions within the VMF, or whether VMF supports a broader cognitive process that is crucial to these varied domains. In this comprehensive review of the neuropsychological literature from the last two decades, we present a qualitative synthesis of 184 papers that have examined the psychological impairments that result from VMF damage. We discuss these findings in the context of several theoretical frameworks and advocate for the view that VMF is critical for the formation and representation of schema and cognitive maps.
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation

Neural Machine Translation (NMT), a data-hungry technology, suffers from the lack of bilingual data in low-resource scenarios. Multitask learning (MTL) can alleviate this issue by injecting inductive biases into NMT, using auxiliary syntactic and semantic tasks. However, an effective training schedule is required to balance the importance of tasks to get the best use of the training signal. The role of training schedule becomes even more crucial in biased-MTL where the goal is to improve one (or a subset) of tasks the most, e.g. translation quality. Current approaches for biased-MTL are based on brittle hand-engineered heuristics that require trial and error, and should be (re-)designed for each learning scenario. To the best of our knowledge, ours is the first work on adaptively and dynamically changing the training schedule in biased-MTL. We propose a rigorous approach for automatically reweighing the training data of the main and auxiliary tasks throughout the training process based on their contributions to the generalisability of the main NMT task. Our experiments on translating from English to Vietnamese/Turkish/Spanish show improvements of up to +1.2 BLEU points, compared to strong baselines. Additionally, our analyses shed light on the dynamic of needs throughout the training of NMT: from syntax to semantic.
SNiPER: a novel hypermethylation biomarker panel for liquid biopsy based early breast cancer detection

Introduction Mammography is the gold standard for early breast cancer detection, but shows important limitations. Blood-based approaches on basis of cell-free DNA (cfDNA) provide minimally invasive screening tools to characterize epigenetic alterations of tumor suppressor genes and could serve as a liquid biopsy, complementing mammography. Methods Potential biomarkers were identified from The Cancer Genome Atlas (TCGA), using HumanMethylation450-BeadChip data. Promoter methylation status was evaluated quantitatively by pyrosequencing in a serum test cohort (n = 103), a serum validation cohort (n = 368) and a plasma cohort (n = 125). Results SPAG6, NKX2-6 and PER1 were identified as novel biomarker candidates. ITIH5 was included on basis of our previous work. In the serum test cohort, a panel of SPAG6 and ITIH5 showed 63% sensitivity for DCIS and 51% sensitivity for early invasive tumor (pT1, pN0) detection at 80% specificity. The serum validation cohort revealed 50% sensitivity for DCIS detection on basis of NKX2-6 and ITIH5. Furthermore, an inverse correlation between methylation frequency and cfDNA concentration was uncovered. Therefore, markers were tested in a plasma cohort, achieving a 64% sensitivity for breast cancer detection using SPAG6, PER1 and ITIH5. Conclusions Although liquid biopsy remains challenging, a combination of SPAG6, NKX2-6, ITIH5 and PER1 (SNiPER) provides a promising tool for blood-based breast cancer detection.
Mapping Epitopes of a Novel Peptidoglycan Cross-Linking Enzyme Cwp22 Recognized by Human Sera Obtained from Patients with Clostridioides difficile Infection and Cord Blood

Clostridioides difficile (CD) cause a severe diarrhea which can lead to pseudomembranous colitis and even patient death. CD infection (CDI) is connected mainly with changes in intestinal microbiota as a consequence of antibiotic treatment. The growing resistance to antibiotics, justifies the search for new methods of combating CD. Despite of ongoing research on the immunity against the pathogen, there is still lack of any reliable vaccine. Most recently, Cwp22, that is a cross-linking enzyme involved in the production of CD peptidoglycan, seems to be a promising target to prevent CDI in high-risk patients. In this paper, the Cwp22 protein polypeptide-specific epitopes were mapped in silico and using PEPSCAN procedure. They were recognized not only by antibodies from CDI patients’ but also by umbilical cord blood sera. We identified three epitopes 54EFRVAT59, 201KVNGKM206 and 268WQEKNGKKYY277 of Cwp22 protein. Since Cwp22 protein has key functionality and the described above epitopes are also recognized by umbilical cord blood serum, we postulate that they could have important protective properties. In this paper, we propose Cwp22 protein as a good antigen candidate for CDI preventive vaccine. Our results open the possibility to use 54EFRVAT59, 201KVNGKM206 and 268WQEKNGKKYY277, epitopes as suitable anti-CD vaccine antigens.
Synthesis and Pharmacological Evaluation of Triazolopyrimidinone Derivatives as Noncompetitive, Intracellular Antagonists for CC Chemokine Receptors 2 and 5

CC chemokine receptors 2 (CCR2) and 5 (CCR5) are involved in many inflammatory diseases; however, most CCR2 and CCR5 clinical candidates have been unsuccessful. (Pre)clinical evidence suggests that dual CCR2/CCR5 inhibition might be more effective in the treatment of such multifactorial diseases. In this regard, the highly conserved intracellular binding site in chemokine receptors provides a new avenue for the design of multitarget ligands. In this study, we synthesized and evaluated the biological activity of a series of triazolopyrimidinone derivatives in CCR2 and CCR5. Radioligand binding assays first showed that they bind to the intracellular site of CCR2, and in combination with functional assays on CCR5, we explored structure–affinity/activity relationships in both receptors. Although most compounds were CCR2-selective, 39 and 43 inhibited β-arrestin recruitment in CCR5 with high potency. Moreover, these compounds displayed an insurmountable mechanism of inhibition in both receptors, which holds promise for improved efficacy in inflammatory diseases.
Autophagy modulators for the treatment of oral and esophageal squamous cell carcinomas

Oral squamous cell carcinomas (OSCC) and esophageal squamous cell carcinomas (ESCC) exhibit a survival rate of less than 60% and 40%, respectively. Late‐stage diagnosis and lack of effective treatment strategies make both OSCC and ESCC a significant health burden. Autophagy, a lysosome‐dependent catabolic process, involves the degradation of intracellular components to maintain cell homeostasis. Targeting autophagy has been highlighted as a feasible therapeutic strategy with clinical utility in cancer treatment, although its associated regulatory mechanisms remain elusive. The detection of relevant biomarkers in biological fluids has been anticipated to facilitate early diagnosis and/or prognosis for these tumors. In this context, recent studies have indicated the presence of specific proteins and small RNAs, detectable in circulating plasma and serum, as biomarkers. Interestingly, the interplay between biomarkers (eg, exosomal microRNAs) and autophagic processes could be exploited in the quest for targeted and more effective therapies for OSCC and ESCC. In this review, we give an overview of the available biomarkers and innovative targeted therapeutic strategies, including the application of autophagy modulators in OSCC and ESCC. Additionally, we provide a viewpoint on the state of the art and on future therapeutic perspectives combining the early detection of relevant biomarkers with drug discovery for the treatment of OSCC and ESCC.
HOUSEHOLDS AND LIVING ARRANGEMENTS OF OLDER PERSONS AROUND THE WORLD

Abstract The household living arrangements of older persons – whether living alone, with a spouse or partner, with their children or in multi-generational households – can be an important factor associated with their health, economic status and overall well-being. Understanding the patterns and trends in older persons’ living arrangements is thus relevant for global efforts to achieve the sustainable development goals, in particular those targeting poverty, hunger and health. The United Nations Database on the Households and Living Arrangements of Older Persons 2018 presents evidence drawn from 672 unique data sources, including census and survey microdata samples archived at IPUMS-International and household rosters from Demographic and Health Surveys, among other sources. The resulting dataset describes older persons’ households across 147 countries or areas, representing approximately 97 per cent of persons aged 60 or over globally.