Miracle-dz/UniFAR-FTUs huggingface dataset:
Problems with Tribological Testings of Marketable Oils Using Laboratory Model Test Rigs

Abstract An important point in Tribology is mechanical-dynamic testing of lubricants and materials under stress and the interpretation of the results obtained therefrom. Widely-used test methods are often applied to test the performance of lubricants e.g. test results determined by tribometers should be treated carefully when using marketable oils. A closer evaluation of these results is part of this research paper. Within this study, several marketable oils were used and experimentally investigated. These were a gear oil, two engine oils, one hydraulic oil, one metal working fluid and one forming oil. There were several distinct differences. On the one hand, the used oils differ significantly in terms of their performance in the individual test methods. This is not surprising but has a clear reason in the different compositions of the lubricants resulting from their respective application. By subjecting these oils to diverse test methods with different test equipment, the results can vary widely and result in completely dissimilar results from the tests. Thus, a metalworking oil appears excellently when determining the welding force in the four-ball apparatus. In the high frequency liear oscillation tester, on the other hand, barely usable results are generated. Thus, there are two contradictory statements that should be the same.
Reducing Low-Cost INS Error Accumulation in Distance Estimation Using Self-Resetting

Error accumulation is one of the critical factors that limit the effective use of low-cost inertial navigation systems (INS) in tracking applications, especially during prolonged time intervals. This paper proposes an improved method to reduce the error accumulation by automatically resetting it in the INS-based systems. This method does not require any additional external sensors and reference systems and therefore offers various ad-vantages. Necessary calibration has been done to accurately evaluate the parameters used within the method. The perform-ance of this proposed resetting method has been experimentally evaluated by tracking the moving vehicles both in indoor and outdoor environments. Results of the experiments demonstrate that the proposed method can significantly reduce the INS errors and successfully recover the trajectories of the moving vehicles with an adequate accuracy.
Routing Metrics for Minimizing End-to-End Delay in Multiradio Multichannel Wireless Networks

This paper studies how to select a path with the minimum expected end-to-end delay (EED) in a multiradio multichannel (MR-MC) wireless mesh network. While the existing studies mainly focus on the packet transmission delay due to medium access control (MAC), our new EED metric further takes into account the queuing delay at the MAC layer. In particular, in the MR-MC context, we develop a generic iterative approach to compute the multiradio achievable bandwidth (MRAB) for a path, taking the impact of inter-/intraflow interference and space/channel diversity into consideration. The MRAB is then combined with the EED to form the metric weighted end-to-end delay (WEED). As a byproduct of MRAB, a channel diversity coefficient is defined to quantitatively represent the channel diversity for a given path. Moreover, we design and implement a distributed WEED-based routing protocol for MR-MC wireless networks by extending the well-known AODV protocol. Extensive simulation results are presented to demonstrate the performance of EED/WEED-based routing, with comparison to some existing well-known routing metrics.
Biofilm formation in Streptococcus pneumoniae

Biofilm‐grown bacteria are refractory to antimicrobial agents and show an increased capacity to evade the host immune system. In recent years, studies have begun on biofilm formation by Streptococcus pneumoniae, an important human pathogen, using a variety of in vitro model systems. The bacterial cells in these biofilms are held together by an extracellular matrix composed of DNA, proteins and, possibly, polysaccharide(s). Although neither the precise nature of these proteins nor the composition of the putative polysaccharide(s) is clear, it is known that choline‐binding proteins are required for successful biofilm formation. Further, many genes appear to be involved, although the role of each appears to vary when biofilms are produced in batch or continuous culture. Prophylactic and therapeutic measures need to be developed to fight S. pneumoniae biofilm formation. However, much care needs to be taken when choosing strains for such studies because different S. pneumoniae isolates can show remarkable genomic differences. Multispecies and in vivo biofilm models must also be developed to provide a more complete understanding of biofilm formation and maintenance.
Cyclothiazide‐induced persistent increase in respiratory‐related activity in vitro

• Hypoglossal (XII) motoneurons (MNs) innervate the genioglossus muscle of the tongue, which plays an important role in maintaining upper airway patency and modulating upper airway resistance. • Cyclothiazide (CTZ) is a diuretic, anti‐hypertensive, AMPA receptor modulator. • We show that CTZ induces a profound and long‐lasting increase in the amplitude of respiratory‐related XII nerve activity in rhythmically active neonatal rat medullary slices, with integrated XII nerve burst amplitude rising to 262 ± 23% of pre‐treatment control at 1 h post‐treatment and much of this increase lasting at least 12 h. • This phenomenon is not plasticity and does not depend on AMPA or NMDA receptor activation or on coincident protein kinase A or C activity for its induction. • Electrophysiological and mass spectrometric analyses indicate that the cause is prolonged bioavailability of CTZ. • Discovering methods for inducing long‐term increases in genioglossal motoneuronal excitability to AMPA‐mediated drive may help in the development of therapeutics for upper airway motor disorders such as obstructive sleep apnoea (OSA). These results illustrate a latent residual capacity for potentiating AMPA‐mediated inspiratory drive to XII MNs that might be applied to the treatment of upper airway motor deficits such as OSA.
G-quadruplex Structure Prediction and integration in the GenData2020 data model

DNA is a long polymer encoding information of all living organisms. It usually folds in a double-helix shape and packed in chromosomes. Nonetheless DNA exists in many other conformations, including A-DNA, B-DNA and Z-DNA. B-DNA is the most common form found in cells. Non-B DNAs comprise of tetraplex (G-quadruplex), left-handed Z-DNA, and others. Several recent publications have provided significant evidence that non-B DNA structures may play a role in DNA instability and mutagenesis, leading to both DNA rearrangements and increased mutation rates, which are often related with a number of diseases, among which cancer. Studying the structure conformation and probability to find non-B DNA structures on a DNA or RNA sequence may help in studying diseases and selectively inhibit genes as well as designing new drugs. Nevertheless, even if there are some examples of prediction tools, the topic of designing efficient prediction algorithms and tools for G-quadruplex prediction is still in its infancy. As a contribution in this area, we present a set of novel software tools, both pattern-based and machine learning-based which are able to predict G-quadruplex conformations starting from a DNA/RNA input sequence. We show they outperform the state-of-the-art software tools available in literature by comparing their predictive performances. Results of this work have been used to implement a web-based prediction tool available online. We also report about the integration of such a tool with the GenData2020 cloud-based system.
Association Between Mind-Body Practice and Cardiometabolic Risk Factors: The Rotterdam Study

Objectives The increased popularity of mind-body practices highlights the need to explore their potential effects. We determined the cross-sectional association between mind-body practices and cardiometabolic risk factors. Methods We used data from 2579 participants free of cardiovascular disease from the Rotterdam Study (2009–2013). A structured home-based interview was used to evaluate engagement in mind-body practices including meditation, yoga, self-prayer, breathing exercises, or other forms of mind-body practice. We regressed engagement in mind-body practices on cardiometabolic risk factors (body mass index, blood pressure, and fasting blood levels of cholesterol, triglycerides, and glucose) and presence of metabolic syndrome. All analyses were adjusted for age, sex, educational level, smoking, alcohol consumption, (in)activities in daily living, grief, and depressive symptoms. Results Fifteen percent of the participants engaged in a form of mind-body practice. Those who did mind-body practices had significantly lower body mass index (&bgr; = −0.84 kg/m2, 95% confidence interval [CI] = −1.30 to −0.38, p < .001), log-transformed triglyceride levels (&bgr; = −0.02, 95% CI = −0.04 to −0.001, p = .037), and log-transformed fasting glucose levels (&bgr; = −0.01, 95% CI = −0.02 to −0.004, p = .004). Metabolic syndrome was less common among individuals who engaged in mind-body practices (odds ratio = 0.71, 95% CI = 0.54–0.95, p = .019). Conclusions Individuals who do mind-body practices have a favorable cardiometabolic risk profile compared with those who do not. However, the cross-sectional design of this study does not allow for causal inference and prospective, and intervention studies are needed to elucidate the association between mind-body practices and cardiometabolic processes.
B2SG: a TOEFL-like Task for Portuguese

Resources such as WordNet are useful for NLP applications, but their manual construction consumes time and personnel, and frequently results in low coverage. One alternative is the automatic construction of large resources from corpora like distributional thesauri, containing semantically associated words. However, as they may contain noise, there is a strong need for automatic ways of evaluating the quality of the resulting resource. This paper introduces a gold standard that can aid in this task. The BabelNet-Based Semantic Gold Standard (B2SG) was automatically constructed based on BabelNet and partly evaluated by human judges. It consists of sets of tests that present one target word, one related word and three unrelated words. B2SG contains 2,875 validated relations: 800 for verbs and 2,075 for nouns; these relations are divided among synonymy, antonymy and hypernymy. They can be used as the basis for evaluating the accuracy of the similarity relations on distributional thesauri by comparing the proximity of the target word with the related and unrelated options and observing if the related word has the highest similarity value among them. As a case study two distributional thesauri were also developed: one using surface forms from a large (1.5 billion word) corpus and the other using lemmatized forms from a smaller (409 million word) corpus. Both distributional thesauri were then evaluated against B2SG, and the one using lemmatized forms performed slightly better.
Mechanisms and modeling of electrohydrodynamic phenomena

The purpose of this paper is to review the mechanisms of electrohydrodynamic (EHD) phenomenon. From this review, researchers and students can learn principles and development history of EHD. Significant progress has been identified in research and development of EHD high-resolution deposition as a direct additive manufacturing method, and more effort will be driven to this direction soon. An introduction is given about current trend of additive manufacturing and advantages of EHD inkjet printing. Both theoretical models and experiment approaches about the formation of cone, development of cone-jet transition and stability of jet are presented. The formation of a stable cone-jet is the key factor for precision EHD printing which will be discussed. Different scaling laws can be used to predict the diameter of jet and emitted current in different parametrical ranges. The information available in this review builds a bridge between EHD phenomenon and three-dimensional high-resolution inkjet printing.
Contributions of white and brown adipose tissues and skeletal muscles to acute cold‐induced metabolic responses in healthy men

Both brown adipose tissue (BAT) and skeletal muscle activation contribute to the metabolic response of acute cold exposure in healthy men even under minimal shivering. Activation of adipose tissue intracellular lipolysis is associated with BAT metabolic response upon acute cold exposure in healthy men. Although BAT glucose uptake per volume of tissue is important, the bulk of glucose turnover during cold exposure is mediated by skeletal muscle metabolic activation even when shivering is minimized.
Graph Clustering with Density-Cut

How can we find a good graph clustering of a real-world network, that allows insight into its underlying structure and also potential functions? In this paper, we introduce a new graph clustering algorithm Dcut from a density point of view. The basic idea is to envision the graph clustering as a density-cut problem, such that the vertices in the same cluster are densely connected and the vertices between clusters are sparsely connected. To identify meaningful clusters (communities) in a graph, a density-connected tree is first constructed in a local fashion. Owing to the density-connected tree, Dcut allows partitioning a graph into multiple densely tight-knit clusters directly. We demonstrate that our method has several attractive benefits: (a) Dcut provides an intuitive criterion to evaluate the goodness of a graph clustering in a more natural and precise way; (b) Built upon the density-connected tree, Dcut allows identifying the meaningful graph clusters of densely connected vertices efficiently; (c) The density-connected tree provides a connectivity map of vertices in a graph from a local density perspective. We systematically evaluate our new clustering approach on synthetic as well as real data to demonstrate its good performance.
Branes in PP-wave Background

We present several supergravity solutions corresponding to both Dp, as well as Dp−Dp′ systems, in NS-NS and R-R PP-wave background originating from AdS3 ×S3 ×R4. The Dp brane solutions, p = 1, . , 5 are fully localized, whereas Dp−Dp′ are localized along common transverse directions. We also discuss the supersymmetry properties of these solutions and the worldsheet construction for the p− p′ system.
In Vitro Characterization of Mems Based Piezoelctrically Actuated Drug Delivery Device for Biomedical Applications

Implantable devices that detect and treat diseases without any intervention required from the patient are expected to be the trend of the future. This paper presents a peizo electrically controlled MEMS drug delivery device for on-demand release of defined quantities of drug in a sustained and controlled manner. A drug-loaded polymer based micro reservoir (600μm ×550μm) is sealed by a Polydimethylsiloxane (PDMS) membrane placed over the drug reservoir on which the piezoelectric material is deposited. On application of voltage across this piezoelectric material, the membrane deflects allowing the fluid to fill into the chamber that will mix with the drug and due to concentration variation; the drug would come off the reservoir or vice versa. A 0. 3μm-thick PZT material is deposited on 20μm PDMS membrane. Discharge of the drug solution and the release rates were controlled by an external electric field. Characterization of the devices was implemented in-vitro using the colored water solution. The reservoir was capable of delivering 20μl drug on application of 10V.
Label-Free, Single-Molecule Detection with Optical Microcavities

Current single-molecule detection techniques require labeling the target molecule. We report a highly specific and sensitive optical sensor based on an ultrahigh quality (Q) factor (Q > 108) whispering-gallery microcavity. The silica surface is functionalized to bind the target molecule; binding is detected by a resonant wavelength shift. Single-molecule detection is confirmed by observation of single-molecule binding events that shift the resonant frequency, as well as by the statistics for these shifts over many binding events. These shifts result from a thermo-optic mechanism. Additionally, label-free, single-molecule detection of interleukin-2 was demonstrated in serum. These experiments demonstrate a dynamic range of 1012 in concentration, establishing the microcavity as a sensitive and versatile detector.
Estimation of the friction coefficient in turning process of metals through model experiment

An in-procedure tribometer is analyzed to assess the friction during orthogonal turning process at cutting rates of up to 300 m/min to determine genuine cutting procedure conditions. The examined tribometer consists of a spring preloaded tungsten carbide with (5% to 8%) cobalt pin with the rounded tip mounted behind the bleeding edge and in contact with the naturally produced workpiece plane. The pin preload is fitted by feed power or force. A 3D-feed force measuring gadget in the obsession of the pin facilitates the assessment of the friction coefficient from tangential and typical strengths. Tests indicate considerably diverse results while reaching new and oxidized planes as well as diminishing friction coefficients as the cutting velocity increases. In general, greater graphite content decreases the friction coefficient and the temperature inclines in the wear pin. A uniform scattering of graphite particles in steel composites enhance their irritating resistance. Moreover, the wear rates for these amalgams are lower than those for similar combinations without graphite. Plane or surface equality is the key predictor of roughness. Plane inequality decreases as cutting speed increases and vice versa.
Androgen-Induced Differentiation and Tumorigenicity of Human Prostate Epithelial Cells

Androgen ablation is the primary treatment modality for patients with metastatic prostate cancer; however, the role of androgen receptor signaling in prostate cancer development remains enigmatic. Using a series of genetically defined immortalized and tumorigenic human prostate epithelial cells, we found that introduction of the androgen receptor induced differentiation of transformed prostate epithelial cells to a luminal phenotype reminiscent of organ-confined prostate cancer when placed in the prostate microenvironment. Moreover, androgen receptor expression converted previously androgen-independent, tumorigenic prostate epithelial cells into cells dependent on testosterone for tumor formation. These observations indicate that androgen receptor expression is oncogenic and addictive for the human prostate epithelium.
Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage

In this paper, we propose a method to prioritize email using a trust network among users for supporting email triage, and evaluate its effectiveness with extensive experiments. In recent years, the amount of email received by individuals has increased, and therefore the time required for email triage (i.e., the process of going through unhandled email messages and deciding what to do with them) has therefore been increasing. Golbeck et al. proposed TrustMail, a prototype email client that prioritizes email in user’s mailbox using a trust network (i.e., a social network representing trust relationships among users). In this paper, we extend the TrustMail concept to allow message-based email prioritization using inter-recipient trust, which is inferred trust score from the recipient to other recipients. We propose a method called EMIRT (Estimating Message Importance from inter-Recipient Trust) for enabling message-based prioritization. Through extensive experiments utilizing two email datasets, we quantitatively evaluate the effectiveness of EMIRT for email prioritization. Our experimental results show that EMIRT is effective for email prioritization. Specifically, our results show that EMIRT achieves significantly higher recall and precision than TrustMail in both email datasets and that EMIRT hardly gives low scores to urgently replied email (i.e., EMIRT achieves a very low false negative).
Multiphase CT Angiography: A New Tool for the Imaging Triage of Patients with Acute Ischemic Stroke.

PURPOSE To describe the use of an imaging selection tool, multiphase computed tomographic (CT) angiography, in patients with acute ischemic stroke (AIS) and to demonstrate its interrater reliability and ability to help determine clinical outcome. MATERIALS AND METHODS The local ethics board approved this study. Data are from the pilot phase of PRoveIT, a prospective observational study analyzing utility of multimodal imaging in the triage of patients with AIS. Patients underwent baseline unenhanced CT, single-phase CT angiography of the head and neck, multiphase CT angiography, and perfusion CT. Multiphase CT angiography generates time-resolved images of pial arteries. Pial arterial filling was scored on a six-point ordinal scale, and interrater reliability was tested. Clinical outcomes included a 50% or greater decrease in National Institutes of Health Stroke Scale (NIHSS) over 24 hours and 90-day modified Rankin Scale (mRS) score of 0-2. The ability to predict clinical outcomes was compared between single-phase CT angiography, multiphase CT angiography, and perfusion CT by using receiver operating curve analysis, Akaike information criterion (AIC), and Bayesian information criterion (BIC). RESULTS A total of 147 patients were included. Interrater reliability for multiphase CT angiography is excellent (n = 30, κ = 0.81, P < .001). At receiver operating characteristic curve analysis, the ability to predict clinical outcome is modest (C statistic = 0.56, 95% confidence interval [CI]: 0.52, 0.63 for ≥50% decrease in NIHSS over 24 hours; C statistic = 0.6, 95% CI: 0.53, 0.68 for 90-day mRS score of 0-2) but better than that of models using single-phase CT angiography and perfusion CT (P < .05 overall). With AIC and BIC, models that use multiphase CT angiography are better than models that use single-phase CT angiography and perfusion CT for a decrease of 50% or more in NIHSS over 24 hours (AIC = 166, BIC = 171.7; values were lowest for multiphase CT angiography) and a 90-day mRS score of 0-2 (AIC = 132.1, BIC = 137.4; values were lowest for multiphase CT angiography). CONCLUSION Multiphase CT angiography is a reliable tool for imaging selection in patients with AIS.
Modelling of Successive Default Events

1 In the credit risk analysis, the dependence of default times is one of most important issues, for the portfolio credit derivatives as basket default swaps and CDOs, and also for the contagious credit risks. In the literature, the modelling of multi credit names is diversified in various directions such as Markov models ([3, 4]), contagion models ([10]), latent variable models ([8]) and loss process models ([5], [9], [11]), etc.