Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotional and behavioral problems among Jordanian adolescents: Prevalence and associations with academic achievement.

BACKGROUND Mental health concerns are important for adolescent's general wellbeing and they can be associated with their ability to function effectively in various aspects of their daily life. AIM The purpose of this study was to identify emotional and behavioral disorders (EBD) among Jordanian adolescents and their association with academic outcomes. METHODS A descriptive correlational design was used. A total of 810 adolescents participated in the study and completed the demographic survey and the Strengths and Difficulties Questionnaire (SDQ). The grade point average (GPA) was used as an indicator of the academic achievement. The GPA was correlated with the SDQ scores to identify the relationship between the EBD and academic achievement. RESULTS About 11.7% of the participants had psychological and behavioral problems. The most commonly reported problems were emotional symptoms (14.2%), conduct problems (12.5%), and hyperactivity (7.5%). There was a significant difference in psychological and behavioral problems according to the participants' gender. There was a signiﬁcant negative relationship between the SDQ scores and the GPA. CONCLUSION There is a need to identify adolescents at risk of emotional and behavioral difficulties and refer them to appropriate care and support, which in turn would improve their academic achievement.
Tissue and organ decellularization in regenerative medicine

The advancement and improvement in decellularization methods can be attributed to the increasing demand for tissues and organs for transplantation. Decellularized tissues and organs, which are free of cells and genetic materials while retaining the complex ultrastructure of the extracellular matrix (ECM), can serve as scaffolds to subsequently embed cells for transplantation. They have the potential to mimic the native physiology of the targeted anatomic site. ECM from different tissues and organs harvested from various sources have been applied. Many techniques are currently involved in the decellularization process, which come along with their own advantages and disadvantages. This review focuses on recent developments in decellularization methods, the importance and nature of detergents used for decellularization, as well as on the role of the ECM either as merely a physical support or as a scaffold in retaining and providing cues for cell survival, differentiation and homeostasis. In addition, application, status, and perspectives on commercialization of bioproducts derived from decellularized tissues and organs are addressed. © 2018 American Institute of Chemical Engineers Biotechnol. Prog. , 34:1494–1505, 2018
Taiwan renal care system: A learning health‐care system

Taiwan renal care system is an evolving learning health‐care system. There are four facets of this system. From the early history of dialysis and Taiwan Renal Registry Data System, it facilitates the generation of data to knowledge. National multidisciplinary pre‐end‐stage renal disease care project and outcome enhances knowledge to practice. Early chronic kidney disease (CKD) programs and 2015 Taiwan CKD clinical guidelines implicate the practice to customer, and then explore the causes of CKD help to resume customer to data. A learning health‐care system allows better and safer care at lower cost, enhancement of public health and patient empowerment. The successful development of a learning health‐care system was to collect, accumulate and analyze data, interpret results, deliver tailored message and take action to change practice. Through the established database and data analysis, an integrated care system would be able to improve clinical outcomes and achieve the most cost‐effectiveness care. Acute kidney injury, CKD with unknown origin, palliative care and kidney transplant are our new focuses to struggle.
Gut Microbiota’s Relationship with Liver Disease and Role in Hepatoprotection by Dietary Natural Products and Probiotics

A variety of dietary natural products have shown hepatoprotective effects. Increasing evidence has also demonstrated that gut microorganisms play an important role in the hepatoprotection contributed by natural products. Gut dysbiosis could increase permeability of the gut barrier, resulting in translocated bacteria and leaked gut-derived products, which can reach the liver through the portal vein and might lead to increased oxidative stress and inflammation, thereby threatening liver health. Targeting gut microbiota modulation represents a promising strategy for hepatoprotection. Many natural products could protect the liver from various injuries or mitigate hepatic disorders by reverting gut dysbiosis, improving intestinal permeability, altering the primary bile acid, and inhibiting hepatic fatty acid accumulation. The mechanisms underlying their beneficial effects also include reducing oxidative stress, suppressing inflammation, attenuating fibrosis, and decreasing apoptosis. This review discusses the hepatoprotective effects of dietary natural products via modulating the gut microbiota, mainly focusing on the mechanisms of action.
Multirefractory primary immune thrombocytopenia; targeting the decreased sialic acid content

Abstract Patients with multirefractory immune thrombocytopenia (ITP) have limited treatment options. Recent data suggest that specific anti-platelet antibodies may cause destruction of platelets by favoring platelet loss of sialic acid. In this multicenter study 35 patients with ITP, including 16 with multirefractory disease, were analyzed for antiplatelet-antibodies, thrombopoietin (TPO) levels, and platelet desialylation. In selected cases, responses to a novel treatment strategy using oseltamivir were tested. We found that antibodies against GPIbα were overrepresented in multirefractory patients compared to responders (n = 19). In contrast to conventional ITP patients, multirefractory patients exhibited a significant increased platelet activation state (granule secretion) and desialylation (RCA-1 binding) (p < 0.05), and a trend toward higher plasma TPO concentrations. The decreased sialic acid content seemed to be restricted to platelet glycoproteins, since other plasma proteins were not hypoglycosylated. A total of 10 patients with multirefractory ITP having remarkable loss of platelet terminal sialic acids were given oseltamivir phosphate. When the antiviral drug was combined with TPO receptor agonists (TPO-RAs) or with immunosuppressant drugs, platelet responses were observed in 66.7% of patients. All responding patients presented with antibodies reactive only against GPIbα. These findings suggest that desialylation may play a key pathogenic role in some multirefractory ITP patients, and provide diagnostic tools for the identification of such patients. Furthermore, we show that sialidase inhibitor treatment in combination with therapies that help to increase platelet production can induce sustained platelet responses in some patients with anti-GPIbα -mediated thrombocytopenia that have failed previous therapies.
Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm

The challenging inverse problem of blind deblurring has been investigated thoroughly for natural images. Existing algorithms exploit edge-type structures, or similarity to smaller patches within the image, to estimate the correct blurring kernel. However, these methods do not perform well enough on natural stochastic textures (NSTs), which are mostly random and, in general, are not characterized by distinct edges and contours. In NST, even small kernels cause severe degradation to images. Restoration poses, therefore, an outstanding challenge. In this paper, we refine an existing method by implementing an anisotropic fractal model to estimate the blur kernel’s power spectral density. The final kernel is then estimated via an adaptation of a phase retrieval algorithm, originally proposed for sparse signals. We further incorporate additional constraints that are specific to blur filters, to yield even better results. The latter are compared with results obtained by recently published blind deblurring methods.
Effects of dietary supplemental methionine source and betaine replacement on the growth performance and activity of mitochondrial respiratory chain enzymes in normal and heat‐stressed broiler chickens

This study aimed to evaluate the effects of dietary supplemental methionine (Met) source and betaine (Bet) replacement for Met on performance and activity of mitochondrial respiratory chain enzymes (MRCEs) in normal and heat-stressed broiler chickens. Total of 1,200-day-old Ross 308 chicks were allocated to two houses, each consisted of 12 treatments, five replicates of 10 birds each with 2 × 2×3 × 2 (temperature × Met source × Met level × Bet, respectively) split-plot factorial arrangement. Met level in the basal diets was 70% requirements (Req) that was increased to the requirement or 130% by supplemental dl- or l-Met. Bet was or was not substituted at the rate of 30% supplemental dl- or l-Met. Feed conversion ratio (FCR) in chicks fed 70% l-Met was lower than those fed 70% dl-Met diet during 1-10 days (p = 0.04). Broilers fed diets containing requirement or 130% Met, regardless of its source, showed higher weight gain (WG) than those received 70% Met diet during 11-42 days (p < 0.001). Feed intake (FI) of broilers fed 130% Met diet was decreased compared to other two groups during 11-42 days (p < 0.05). One hundred thirty percent Met requirement diet resulted in lower FCR comparing to other two groups during 11-42 days (p < 0.001). Heat-stressed birds grew less than those under normal condition (p < 0.05). Broilers fed Req Met diet under normal temperature exhibited higher activities of complexes (Cox) I and III (p < 0.05). Cox I activity in heat-stressed birds fed Bet + diet was similar to those fed Bet-diet under normal temperature (p = 0.046). It is concluded that performance and the activities of Cox I and III were increased as the level of Met increased. Bet replacement for 30% supplemental Met resulted in similar consequences comparing to non-Bet replacement diets on performance, but increased the activity of Cox III. l-Met was effective than dl-Met at the cellular level. High ambient temperature depressed performance and MRCE activity.
Lateral laparoscopic adrenalectomy in patients with previous abdominal surgery – single-center experience

Introduction Lateral transabdominal adrenalectomy (LTA) is the most common minimally invasive technique used to treat patients with adrenal tumors. Aim To analyze intra-operative and post-operative complications and reasons for conversion to open surgery in patients who underwent LTA and had previous abdominal surgery. Material and methods Five hundred and nineteen patients underwent LTA in our center between 2005 and 2016. We identified a study group of 150 patients, with previous abdominal surgery. We analyzed the frequency of intra-operative and post-operative complications and the reasons for conversion from laparoscopic to open adrenalectomy. Results The patients’ mean age was 58; they underwent LTA due to hormonally active tumors (n = 79, 53%) and non-functioning adrenal tumors (n = 71, 47%). The size of adrenal lesions ranged from 20 mm to 90 mm. Seventy-eight (52%) adrenal lesions were found in the right adrenal gland, and 72 (48%) lesions in the left adrenal gland. The mean operating time was 130 min. The mean stay in hospital was five days. The intra-operative complications included blood pressure fluctuations (n = 32), abnormal vascular supply of the adrenal glands causing difficulties with dissections (n = 3), and respiratory problems (n = 1). Two (1.3%) patients had post-operative bleeding at the site of removed adrenal glands; 1 patient had an exacerbation of asthma postoperatively. Of the 150 patients analyzed, 3 (2%) required conversion to open adrenalectomy. The conversions were not caused by abdominal adhesions. Conclusions Lateral transabdominal adrenalectomy is feasible and safe in patients with previous abdominal surgery. In our study, conversion from laparoscopic to open adrenalectomy was not caused by abdominal adhesions.
Improving the Transformer Translation Model with Document-Level Context

Although the Transformer translation model (Vaswani et al., 2017) has achieved state-of-the-art performance in a variety of translation tasks, how to use document-level context to deal with discourse phenomena problematic for Transformer still remains a challenge. In this work, we extend the Transformer model with a new context encoder to represent document-level context, which is then incorporated into the original encoder and decoder. As large-scale document-level parallel corpora are usually not available, we introduce a two-step training method to take full advantage of abundant sentence-level parallel corpora and limited document-level parallel corpora. Experiments on the NIST Chinese-English datasets and the IWSLT French-English datasets show that our approach improves over Transformer significantly.
Rheumatoid arthritis in temporo-mandibular joint: A review

This article summarizes the temporomandibular joint (TMJ) rheumatoid arthritis (RA). In particular, TMJ-RAs are collected in a short summary by examining every aspect of RA; the treatment of TMJ-RA is also briefly mentioned. TMJ-RA is usually characterized by bilateral pain, tenderness and swelling, and limitation of jaw movements. Due to these symptoms, patients may experience limitations in their daily activities, such as eating, speaking, and swallowing. MEDLINE and Scopus databases were searched electronically using the terms “temporomandibular joint” and “rheumatoid arthritis. ” The electronic search includes articles or books published in English and December 2017. A search of the reference lists of selected articles was also carried out.
Prognostic role of baseline 18F‐FDG PET/CT parameters in MALT lymphoma

Mucosa‐associated lymphoid tissue (MALT) lymphoma is an indolent lymphoma with good prognosis and variable fluorine‐18 fluorodeoxyglucose (18F‐FDG) avidity. Many possible prognostic factors have been investigated with controversial results, but the possible prognostic role of 18F‐FDG positron emission tomography/computed tomography (PET/CT) remains unclear. Our aim was to evaluate the prognostic impact of qualitative and semiquantitative baseline PET/CT parameters on outcome of MALT lymphoma. We retrospectively enrolled 161 patients with histologically confirmed MALT lymphoma who underwent 18F‐FDG PET/CT before any treatment. PET images were qualitatively and semiquantitatively analyzed by measuring the maximum standardized uptake value body weight (SUVbw), lean body mass (SUVlbm), body surface area (SUVbsa), metabolic tumor volume (MTV), and total lesion glycolysis (TLG). The Kaplan‐Meier method was used to estimate the progression‐free survival (PFS) and overall survival (OS) times. Cox regression models were performed to determine the relation between PET/CT features and OS and PFS. Ninety‐eight patients had positive 18F‐FDG PET/CT showing 18F‐FDG uptake (mean SUVbw, 10.1; SUVlbm, 7.2; SUVbsa, 2.7; MTV, 88.8; and TLG, 526); the remaining 63 were not 18F‐FDG avid. 18F‐FDG avidity was significantly correlated with tumor size and Ki‐67 score. Relapse/progression of disease occurred in 47 patients with an average time of 40.2 months; death occurred in 12 patients with an average of 59 months. At a median follow‐up of 62 months, median PFS and OS were 52 and 62 months, respectively. Advanced tumor stage and extragastric site were demonstrated to be independent prognostic factors for PFS, while only tumor stage for OS. Instead, PET/CT parameters were not related to survival, despite positive correlation at univariate analysis between MTV and TLG with PFS and positive PET/CT with PFS and OS. In conclusion, a 61% rate of PET avidity in biopsy‐confirmed MALT lymphoma was found, and it was correlated with tumor size and Ki‐67 score. Only tumor stage and localization were independently correlated with PFS and OS.
Pimping Inhibition: Anodal tDCS Enhances Stop-Signal Reaction Time

The stop-signal task (SST) is assumed to reliably measure response inhibition; specifically, in this task participants sometimes have to withhold a response according to the onset of a sudden cue. The response-stopping process is estimated by a stochastic model that delivers the stop-signal reaction time (SSRT; Verbruggen & Logan, 2009), that is, the latency to inhibit prepotent responses. The right dorsolateral prefrontal cortex (rDLPFC) plays a key role in goal directed cognitive control in general and particularly an increased activation has been associated with better SST performance (that is with shorter SSRT). We stimulated the rDLPFC in a prepost design via transcranial DC stimulation (tDCS). A 9 cm2 anode was always positioned over the rDLPFC while the 35 cm2 cathode was placed over the left deltoid. We contrasted an anodal stimulation condition (that is assumed to enhance neural processing) with sham stimulation and expected an increase in inhibitory functions after anodal tDCS, as evidenced by a decrease in SSRT. In a sample of N = 56 healthy adults, we found a significant Time × tDCS-Condition interaction in the expected direction. Control analysis confirmed that the statistically significant decrease in SSRT after anodal tDCS was not due to generally faster reaction times. These results confirm the role of the rDLPFC for cognitive inhibition processes and further suggest that inhibition is not a fixed resource but depends on the current state of the PFC.
History of El Niño impacts on the global carbon cycle 1957–2017: a quantification from atmospheric CO2 data

Interannual variations in the large-scale net ecosystem exchange (NEE) of CO2 between the terrestrial biosphere and the atmosphere were estimated for 1957–2017 from sustained measurements of atmospheric CO2 mixing ratios. As the observations are sparse in the early decades, available records were combined into a ‘quasi-homogeneous’ dataset based on similarity in their signals, to minimize spurious variations from beginning or ending data records. During El Niño events, CO2 is anomalously released from the tropical band, and a few months later also in the northern extratropical band. This behaviour can approximately be represented by a linear relationship of the NEE anomalies and local air temperature anomalies, with sensitivity coefficients depending on geographical location and season. The apparent climate sensitivity of global total NEE against variations in pan-tropically averaged annual air temperature slowly changed over time during the 1957–2017 period, first increasing (though less strongly than in previous studies) but then decreasing again. However, only part of this change can be attributed to actual changes in local physiological or ecosystem processes, the rest probably arising from shifts in the geographical area of dominating temperature variations. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’.
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection

Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection and localization algorithm that combines deep convolutional neural network (CNN) and compressed sensing (CS) or sparse coding (SC) for end-to-end training. We also derive, for the first time, a backpropagation rule, which is applicable to train any algorithm that implements a sparse code recovery layer. The key innovation behind our algorithm is that the cell detection task is structured as a point object detection task in computer vision, where the cell centers (i.e., point objects) occupy only a tiny fraction of the total number of pixels in an image. Thus, we can apply compressed sensing (or equivalently SC) to compactly represent a variable number of cells in a projected space. Subsequently, CNN regresses this compressed vector from the input microscopy image. The SC/CS recovery algorithm ( ${L} _{1}$ optimization) can then recover sparse cell locations from the output of CNN. We train this entire processing pipeline end-to-end and demonstrate that end-to-end training improves accuracy over a training paradigm that treats CNN and CS-recovery layers separately. We have validated our algorithm on five benchmark datasets with excellent results.
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network

Deep convolutional neural networks (DCNN) have recently shown promising results in low-level computer vision problems such as optical flow and disparity estimation, but still, have much room to further improve their performance. In this paper, we propose a novel sub-pixel convolution-based encoder-decoder network for optical flow and disparity estimations, which can extend FlowNetS and DispNet by replacing the deconvolution layers with sup-pixel convolution blocks. By using sub-pixel refinement and estimation on the decoder stages instead of deconvolution, we can significantly improve the estimation accuracy for optical flow and disparity, even with reduced numbers of parameters. We show a supervised end-to-end training of our proposed networks for optical flow and disparity estimations, and an unsupervised end-to-end training for monocular depth and pose estimations. In order to verify the effectiveness of our proposed networks, we perform intensive experiments for (i) optical flow and disparity estimations, and (ii) monocular depth and pose estimations. Throughout the extensive experiments, our proposed networks outperform the baselines such as FlowNetS and DispNet in terms of estimation accuracy and training times.
Do Interpersonal Conflict, Aggression and Bullying at the Workplace Overlap? A Latent Class Modeling Approach

In this paper, we tackle an important but unresolved research question: How distinct are workplace conflict, aggression and bullying? We study this question by means of latent class (LC) analysis using cross-industry data from 6,175 Belgian workers. We find a two-factor solution (conflict-aggression versus bullying) to provide the best fit to the data. Employees with low exposure to conflict-aggression and bullying perceived the phenomena as mostly overlapping. Employees who were exposed more frequently to the phenomena reported them to be more distinct - especially so for workplace bullying. We also find conflict-aggression and bullying to have distinct relationships with well-being and strain outcomes. These findings entail that a simple unifying approach or a single label for all three phenomena is not appropriate, at least from a measurement point of view and from the perspective of those exposed. Our results have important implications for the theoretical understanding of conflict, aggression and bullying, and for practitioners who provide support to affected employees including policymakers who help prevent and manage these problems at the workplace.