Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning for Depression Detection of Twitter Users

Mental illness detection in social media can be considered a complex task, mainly due to the complicated nature of mental disorders. In recent years, this research area has started to evolve with the continuous increase in popularity of social media platforms that became an integral part of people’s life. This close relationship between social media platforms and their users has made these platforms to reflect the users’ personal life with different limitations. In such an environment, researchers are presented with a wealth of information regarding one’s life. In addition to the level of complexity in identifying mental illnesses through social media platforms, adopting supervised machine learning approaches such as deep neural networks have not been widely accepted due to the difficulties in obtaining sufficient amounts of annotated training data. Due to these reasons, we try to identify the most effective deep neural network architecture among a few of selected architectures that were successfully used in natural language processing tasks. The chosen architectures are used to detect users with signs of mental illnesses (depression in our case) given limited unstructured text data extracted from the Twitter social media platform.
Solid-State Conductive-Bridging Reconfigurable RF-Encoding Particle for Chipless RFID Applications

We report the design and first results of a reconfigurable RF-encoding particle (REP) for chipless RFID tag, based on a Nafion conductive-bridging random-access memory cell. The developed tag consists of a modified shorted dipole as REP, equipped with a copper–Nafion–aluminum metal–insulator–metal (MIM) nonvolatile ionic-bridging switch. The MIM switch is similar to an RC parallel network, which tunes the electrical length of the resonator. The chipless tags switch between two different resonant frequencies, in the set and reset states of the switch. An electrical model is also developed for the REP to explain the mechanism of switching. The experimental results are in close agreement with the simulation results using commercial electromagnetic simulators. This letter is a proof of concept of electronically reconfigurable chipless tags based on integrated switches which have the potential to be directly printed along with the tag.
Onset Symptoms, Tobacco Smoking, and Progressive-Onset Phenotype Are Associated With a Delayed Onset of Multiple Sclerosis, and Marijuana Use With an Earlier Onset

Background: Age at symptom onset (ASO) is a prognostic factor that could affect the accrual of disability in multiple sclerosis (MS) patients. Some factors are known to influence the risk of multiple sclerosis (MS), but their influence on the ASO is less well-investigated. Objective: Examine the associations between known or emerging MS risk factors and ASO. Methods: This was a multicenter study, incident cases (n = 279) with first clinical diagnosis of demyelinating event aged 18–59 years recruited at four Australian centres (latitudes 27°-43°S), from 1 November 2003 to 31 December 2006. Environmental/behavioral variables and initial symptoms were recorded at baseline interview. Linear regression was used to assess the association between risk factors and ASO. Results: Five factors were significantly associated with ASO: a history of tobacco smoking was associated with 3.05-years later ASO (p = 0.002); a history of marijuana use was associated with 6.03-years earlier ASO (p < 0.001); progressive-onset cases had 5.61-years later ASO (p = 0.001); an initial presentation of bowel & bladder and cerebral dysfunctional were associated with 3.39 (p = 0.017) and 4.37-years (p = 0.006) later ASO, respectively. Other factors, including sex, offspring number, latitude of study site, history of infectious mononucleosis, HLA-DR15 & HLA-A2 genotype, 25(OH)D levels, and ultraviolet radiation exposure were not associated with ASO. Including all five significant variables into one model explained 12% of the total variance in ASO. Conclusion: We found a novel association between a history of tobacco smoking and later onset, whereas marijuana use was associated with earlier onset. Behavioral factors seem important drivers of MS onset timing although much of the variance remains unexplained.
Friction at the bed does not control fast glacier flow

Sliding at the base Predictions of sea level rise caused by dynamic ice sheet loss rely on a good understanding of what controls how fast the sheets slide over the ground below. The standard approach is to model motion on the basis of an assumed frictional stress between the base of the glacier and a hard underlying bed. Now, however, Stearns and van der Veen show that this method is incorrect. Instead, they suggest that net pressure at the glacier bed controls flow. Science, this issue p. 273 The sliding speed of ice streams is controlled by net pressure at the glacier bed. The largest uncertainty in the ice sheet models used to predict future sea level rise originates from our limited understanding of processes at the ice/bed interface. Near glacier termini, where basal sliding controls ice flow, most predictive ice sheet models use a parameterization of sliding that has been theoretically derived for glacier flow over a hard bed. We find that this sliding relation does not apply to the 140 Greenland glaciers that we analyzed. There is no relationship between basal sliding and frictional stress at the glacier bed, contrary to theoretical predictions. There is a strong relationship between sliding speed and net pressure at the glacier bed. This latter finding is in agreement with earlier observations of mountain glaciers that have been largely overlooked by the glaciological community.
Joint BAP NAPICU evidence-based consensus guidelines for the clinical management of acute disturbance: De-escalation and rapid tranquillisation

The British Association for Psychopharmacology and the National Association of Psychiatric Intensive Care and Low Secure Units developed this joint evidence-based consensus guideline for the clinical management of acute disturbance. It includes recommendations for clinical practice and an algorithm to guide treatment by healthcare professionals with various options outlined according to their route of administration and category of evidence. Fundamental overarching principles are included and highlight the importance of treating the underlying disorder. There is a focus on three key interventions: de-escalation, pharmacological interventions pre-rapid tranquillisation and rapid tranquillisation (intramuscular and intravenous). Most of the evidence reviewed relates to emergency psychiatric care or acute psychiatric adult inpatient care, although we also sought evidence relevant to other common clinical settings including the general acute hospital and forensic psychiatry. We conclude that the variety of options available for the management of acute disturbance goes beyond the standard choices of lorazepam, haloperidol and promethazine and includes oral-inhaled loxapine, buccal midazolam, as well as a number of oral antipsychotics in addition to parenteral options of intramuscular aripiprazole, intramuscular droperidol and intramuscular olanzapine. Intravenous options, for settings where resuscitation equipment and trained staff are available to manage medical emergencies, are also included.
Comparing Dry, Wet, or Modified Distillers Grains Plus Solubles on Feedlot Cattle Performance

Crossbred, yearling steers (n = 440; 778 ± 42 lb) were utilized in a randomized complete block design. Treatments were arranged in a 3 x 3 + 1 factorial treatment structure, with three types of distillers grains (DG), three inclusions of DG (20%, 30%, or 40% diet DM), and a negative corn-based control (CON). Steers were blocked by BW, stratified within block, and assigned randomly to pen (55 pens; 8 steers/pen). Pens were assigned randomly to one of 10 treatments. The CON treatment was repeated within replication (10 replications), whereas all other treatments had 5 replications. Basal ingredients consisted of a high-moisture and dry-rolled corn blend (HMC:DRC) fed at a 60:40 ratio (DM basis), 15% corn silage, and 5% dry supplement (DM basis; Table 1). Distillers grains replaced HMC:DRC. Steers were adapted to the finishing diet by feeding 37.5%, 27.5%, 17.5%, and 7.5% alfalfa hay (DM basis), replaced with HMC:DRC for 3, 4, 7, and 7 days, respectively. The supplements for diets containing 20% DG contained urea at 0.47% of the diet to ensure there was not a deficiency in degradable intake protein. All diets were formulated to provide a minimum of 13.0% CP, 0.6% Ca, 0.25% P, and 0.6% K. Supplements for all diets were formulated to provide 360 mg/steer daily of monensin (Rumensin, Elanco Animal Health), 90 mg/ steer daily of tylosin (Tylan, Elanco Animal Health), and 150 mg of thiamine per steer daily. Brandon L. Nuttelman Will A. Griffin Josh R. Benton Galen E. Erickson Terry J. Klopfenstein1
Spoken word recognition and serial recall of words from the giant component and words from lexical islands in the phonological network

Network science is a field that applies mathematical techniques to study complex systems, and the tools of network science have been used to analyze the phonological network of language (Vitevitch, 2008). The phonological network consists of a giant component, lexical islands, and several hermits. The giant component represents the largest connected component of the network, whereas lexical islands constitute smaller groups of words that are connected to each other but not to the giant component. To determine if the size of the network component that a word resided in influenced lexical processing, three psycholinguistic tasks (word shadowing, lexical decision, and serial recall) were used to compare the processing of words from the giant component and word from lexical islands. Results showed that words from lexical islands were more quickly recognized and more accurately recalled than words from the giant component. These findings can be accounted for via a spreading activation framework. Implications for models of spoken word recognition and network science are also discussed.
Forward-backward multiplicity correlations in pp collisions at high energy in Monte Carlo model with string fusion

The correlations between multiplicities in two separated rapidity windows, is studied in the framework of the Monte Carlo model based on the picture of string formation in elementary collisions of colour dipoles. The hardness of the elementary collisions is defined by a transverse size of the interacting dipoles. The dependencies of the forward-backward correlation strength on the width and position of the pseudorapidity windows, as well as on transverse momentum range of observed particles were studied. It is demonstrated that taking into account of the string fusion eects improves the agreement with the available experimental data.
In silico identification of transcription factors associated with the biosynthesis of carotenoids in corn ( Zea mays L. )

Carotenoids, a diverse group of colorful pigments, contribute to the development, light harvesting and photoprotection in plants as well as human health. Due to the interesting properties of carotenoids, enhanced carotenoid biosynthesis has been of ongoing interest. Recent advances in computational biology and bioinformatics make it more feasible to understand the transcriptional regulatory network underlying carotenoid biosynthesis. Studies on carotenoid biosynthesis in corn (Zea mays L.) have indicated the pivotal role of the phytoene synthase gene PSY1 (accession: GRMZM2G300348) in endosperm color and carotenoid accumulation in corn kernels. Computational approaches such as Genomatix, PlantPAN, PlantCARE, PlantTFDB and IGDE6 have been used for promoter prediction, regulatory features and transcription factor identification, as well as pairwise promoter comparisons. Four transcripts have been identified for the PSY1 gene. Based on Genomatix and PlantPAN, the promoter predicted for GRMZM2G300348_T01 was different from that predicted for the other three transcripts (GRMZM2G300348_T02, GRMZM2G300348_T03 and GRMZM2G300348_T04). The results indicated that the promoter of GRMZM2G300348_T01 has more diverse motifs involved in hormonal/environmental stress responses. The most significant result obtained from this study is the discovery of two transcription factors belonging to the HB family that are co-expressed with all four transcripts of PSY1 under environmental stresses. It is, therefore, likely that these transcription factors may act as critical regulators of PSY1 gene expression in corn. Identification of the proteins acting upstream of PSY1 within corn will shed light on the fine tuning of PSY1 expression regulation. Such an understanding would also contribute to metabolic engineering aimed at enhanced carotenoid biosynthesis.
Internet Addiction and Its Relationship With Suicidal Behaviors: A Meta-Analysis of Multinational Observational Studies.

OBJECTIVE To perform a systematic review and meta-analysis of observational studies that investigated the putative association between internet addiction and suicidality. DATA SOURCES Major electronic databases (PubMed, Embase, ClinicalKey, Cochrane Library, ProQuest, Science Direct, and ClinicalTrials.gov) were searched using the following keywords (internet addiction OR internet gaming disorder OR internet use disorder OR pathological internet use OR compulsive internet use OR problematic internet use) AND (suicide OR depression) to identify observational studies from inception to October 31, 2017. STUDY SELECTION We included 23 cross-sectional studies (n = 270,596) and 2 prospective studies (n = 1,180) that investigated the relationship between suicide and internet addiction. DATA EXTRACTION We extracted the rates of suicidal ideation, planning, and attempts in individuals with internet addiction and controls. RESULTS The individuals with internet addiction had significantly higher rates of suicidal ideation (odds ratio [OR] = 2.952), planning (OR = 3.172), and attempts (OR = 2.811) and higher severity of suicidal ideation (Hedges g = 0.723). When restricted to adjusted ORs for demographic data and depression, the odds of suicidal ideation and attempts were still significantly higher in the individuals with internet addiction (ideation: pooled adjusted OR = 1.490; attempts: pooled adjusted OR = 1.559). In subgroup analysis, there was a significantly higher prevalence rate of suicidal ideation in children (age less than 18 years) than in adults (OR = 3.771 and OR = 1.955, respectively). CONCLUSIONS This meta-analysis provides evidence that internet addiction is associated with increased suicidality even after adjusting for potential confounding variables including depression. However, the evidence was derived mostly from cross-sectional studies. Future prospective studies are necessary to confirm these findings.
Polypharmacy and Inappropriate Drug Use among Older People—a Systematic Review

The use of medication and polypharmacy are increasing among older people and inappropriate drug use (IDU) and drug related side effects have been discussed more intensively. Although definitions of polypharmacy and IDU differ, the last decade criteria have been established which enables comparison of published studies. The aim of this study was to determine the frequency of polypharmacy and IDU among subjects ≥ 65 years. Fourteen studies fulfilled criteria for polypharmacy and prevalences ranged from 27% to 59% in primary care patients compared to 46%–84% in hospital care. Furthermore, drug treatment tends to increase over time. Ten studies fulfilled the criteria for IDU with prevalences from 27% to 56%. Conclusion: Polypharmacy and IDU is a common phenomenon among older people but IDU did not differ between primary care and hospital patients. There is a need for prospective studies on drug use among older persons.
Incidence of Diabetes After Cancer Development: A Korean National Cohort Study

Importance Diabetes is an established risk factor for developing cancer. A limited body of evidence also suggests that cancer can increase the risk of developing new cases of diabetes, but the evidence is inconclusive. Objective To evaluate whether the development of cancer is associated with increasing risk of subsequent diabetes. Design, Setting, and Participants This cohort study included a nationally representative sample of the Korean general population observed for up to 10 years (January 1, 2003, to December 31, 2013). A total of 524 089 men and women 20 to 70 years of age without diabetes and with no history of cancer at baseline were included. Exposures Incident cancer (time-varying exposure). Main Outcomes and Measures Incident type 2 diabetes using insurance claim codes. Results During 3 492 935.6 person-years of follow-up (median follow-up, 7.0 years) in 494 189 individuals (50.0% female; mean [SD] age, 41.8 [12.5] years), 15 130 participants developed cancer and 26 610 participants developed diabetes. After adjustment for age, sex, precancer diabetes risk factors, metabolic factors, and comorbidities, the hazard ratio (HR) for diabetes associated with cancer development was 1.35 (95% CI, 1.26-1.45; P < .001). The excess risk for diabetes was highest in the first 2 years after cancer diagnosis, but it remained elevated throughout follow-up. By cancer type, development of pancreatic (HR, 5.15; 95% CI, 3.32-7.99), kidney (HR, 2.06; 95% CI, 1.34-3.16), liver (HR, 1.95; 95% CI, 1.50-2.54), gallbladder (HR, 1.79; 95% CI, 1.08-2.98), lung (HR, 1.74; 95% CI, 1.34-2.24), blood (HR, 1.61; 95% CI, 1.07-2.43), breast (HR, 1.60; 95% CI, 1.27-2.01), stomach (HR, 1.35; 95% CI, 1.16-1.58), and thyroid cancer (HR, 1.33; 95% CI, 1.12-1.59) was associated with a significantly increased risk of diabetes. Conclusions and Relevance In this large Korean cohort, cancer development increased the risk of subsequent diabetes. These data provide evidence that cancer is associated with an increased risk of diabetes in cancer survivors independent of traditional diabetes risk factors. Physicians should remember that patients with cancer develop other clinical problems, such as diabetes, with higher frequency than individuals without cancer, and should consider routine diabetes screening in these patients.
OCT1 Deficiency Affects Hepatocellular Concentrations and Pharmacokinetics of Cycloguanil, the Active Metabolite of the Antimalarial Drug Proguanil

Cycloguanil, the active metabolite of proguanil, acts on malaria schizonts in erythrocytes and hepatocytes. We analyzed the impact of the organic cation transporter OCT1 on hepatocellular uptake and pharmacokinetics of proguanil and cycloguanil. OCT1 transported both proguanil and cycloguanil. Common variants OCT1*3 and OCT1*4 caused a substantial decrease and OCT1*5 and OCT1*6 complete abolishment of proguanil uptake. In 39 healthy subjects, low‐activity variants OCT1*3 and OCT1*4 had only minor effects on proguanil pharmacokinetics. However, both, cycloguanil area under the time‐concentration curve and the cycloguanil‐to‐proguanil ratio were significantly dependent on number of these low‐functional alleles (P = 0.02 for both). Together, CYP2C19, CYP3A5, OCT1 polymorphisms, and sex accounted for 61% of the variation in the cycloguanil‐to‐proguanil ratio. Most importantly, in vitro OCT1 inhibition caused a fivefold decrease of intracellular cycloguanil concentrations in primary human hepatocytes. In conclusion, OCT1‐mediated uptake is a limiting step in bioactivation of proguanil, and OCT1 polymorphisms may affect proguanil efficacy against hepatic malaria schizonts.
Scheduling Weakly Consistent C Concurrency for Reconfigurable Hardware

Lock-free algorithms, in which threads synchronise not via coarse-grained mutual exclusion but via fine-grained atomic operations (‘atomics’), have been shown empirically to be the fastest class of multi-threaded algorithms in the realm of conventional processors. This article explores how these algorithms can be compiled from C to reconfigurable hardware via high-level synthesis(HLS). We focus on the scheduling problem, in which software instructions are assigned to hardware clock cycles. We first show that typical HLS scheduling constraints are insufficient to implement atomics, because they permit some instruction reorderings that, though sound in a single-threaded context, demonstrably cause erroneous results when synthesising multi-threaded programs. We then show that correct behaviour can be restored by imposing additional intra-thread constraints among the memory operations. In addition, we show that we can support the pipelining of loops containing atomics by injecting further inter-iteration constraints. We implement our approach on two constraint-based scheduling HLS tools: LegUp 4.0 and LegUp 5.1. We extend both tools to support two memory models that are capable of synthesising atomics correctly. The first memory model only supports sequentially consistent (SC) atomics and the second supports weakly consistent (‘weak’) atomics as defined by the 2011 revision of the C standard. Weak atomics necessitate fewer constraints than SC atomics, but suffice for many multi-threaded algorithms. We confirm, via automatic model-checking, that we correctly implement the semantics in accordance with the C standard. A case study on a circular buffer suggests that on average circuits synthesised from programs that schedule atomics correctly can be 6x faster than an existing lock-based implementation of atomics, that weak atomics can yield a further 1.3x speedup, and that pipelining can yield a further 1.3x speedup.
VEGF (Vascular Endothelial Growth Factor) Induces NRP1 (Neuropilin-1) Cleavage via ADAMs (a Disintegrin and Metalloproteinase) 9 and 10 to Generate Novel Carboxy-Terminal NRP1 Fragments That Regulate Angiogenic Signaling

Objective— NRP1(neuropilin-1) acts as a coreceptor for VEGF (vascular endothelial growth factor) with an essential role in angiogenesis. Recent findings suggest that posttranslational proteolytic cleavage of VEGF receptors may be an important mechanism for regulating angiogenesis, but the role of NRP1 proteolysis and the NRP1 species generated by cleavage in endothelial cells is not known. Here, we characterize NRP1 proteolytic cleavage in endothelial cells, determine the mechanism, and investigate the role of NRP1 cleavage in regulation of endothelial cell function. Approach and Results— NRP1 species comprising the carboxy (C)-terminal and transmembrane NRP1 domains but lacking the ligand-binding A and B regions are constitutively expressed in endothelial cells. Generation of these C-terminal domain NRP1 proteins is upregulated by phorbol ester and Ca2+ ionophore, and reduced by pharmacological inhibition of metalloproteinases, by small interfering RNA-mediated knockdown of 2 members of ADAM (a disintegrin and metalloproteinase) family, ADAMs 9 and 10, and by a specific ADAM10 inhibitor. Furthermore, VEGF upregulates expression of these NRP1 species in an ADAM9/10-dependent manner. Transduction of endothelial cells with adenoviral constructs expressing NRP1 C-terminal domain fragments inhibited VEGF-induced phosphorylation of VEGFR2 (VEGF receptor tyrosine kinase)/KDR (kinase domain insert receptor) and decreased VEGF-stimulated endothelial cell motility and angiogenesis in coculture and aortic ring sprouting assays. Conclusions— These findings identify novel NRP1 species in endothelial cells and demonstrate that regulation of NRP1 proteolysis via ADAMs 9 and 10 is a new regulatory pathway able to modulate VEGF angiogenic signaling.