Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous intraesophageal impedance and pH measurement of acid and nonacid gastroesophageal reflux: effect of omeprazole.

BACKGROUND & AIMS Nonacid reflux may explain symptoms in acid-suppressed patients. Simultaneous intraesophageal impedance and pH measurement was used to evaluate the frequencies of postprandial acid and nonacid reflux before and after omeprazole administration. METHODS Twelve heartburn patients underwent two 2-hour studies of intraesophageal impedance and pH in the right lateral decubitus position after a refluxogenic meal; session 1 without medication, session 2 after 7 days of omeprazole twice daily. Acid and nonacid reflux were quantified. RESULTS Two hundred seventeen reflux episodes were detected before and 261 after omeprazole treatment (P > 0.05). Percentage of acid reflux decreased (from 45% to 3%, P = 0.02) and nonacid reflux increased (from 55% to 97%, P = 0.03) after omeprazole. Heartburn and acid taste were more commonly linked to acid reflux but were also produced by nonacid reflux. Regurgitation was reported equally in acid and nonacid reflux. Delta(pH) > 1 did not help predict the presence of symptoms during nonacid reflux. CONCLUSIONS During treatment with omeprazole, postprandial reflux becomes predominantly nonacid. Symptoms are more common with acid reflux but are also produced by nonacid reflux. Simultaneous intraesophageal impedance and pH may be useful in evaluating the role of nonacid reflux in symptoms that persist despite adequate acid suppression.
Sulforaphane causes a major epigenetic repression of myostatin in porcine satellite cells

Satellite cells function as skeletal muscle stem cells to support postnatal muscle growth and regeneration following injury or disease. There is great promise for the improvement of muscle performance in livestock and for the therapy of muscle pathologies in humans by the targeting of myostatin (MSTN) in this cell population. Human diet contains many histone deacetylase (HDAC) inhibitors, such as the bioactive component sulforaphane (SFN), whose epigenetic effects on MSTN gene in satellite cells are unknown. Therefore, we aimed to investigate the epigenetic influences of SFN on the MSTN gene in satellite cells. The present work provides the first evidence, which is distinct from the effects of trichostatin A (TSA), that SFN supplementation in vitro not only acts as a HDAC inhibitor but also as a DNA methyltransferase (DNMT) inhibitor in porcine satellite cells. Compared with TSA and 5-aza-2′-deoxycytidine (5-aza-dC), SFN treatment significantly represses MSTN expression, accompanied by strongly attenuated expression of negative feedback inhibitors of the MSTN signaling pathway. miRNAs targeting MSTN are not implicated in posttranscriptional regulation of MSTN. Nevertheless, a weakly enriched myoblast determination (MyoD) protein associated with diminished histone acetylation in the MyoD binding site located in the MSTN promoter region may contribute to the transcriptional repression of MSTN by SFN. These findings reveal a new mode of epigenetic repression of MSTN by the bioactive compound SFN. This novel pharmacological, biological activity of SFN in satellite cells may thus allow for the development of novel approaches to weaken the MSTN signaling pathway, both for therapies of human skeletal muscle disorders and for livestock production improvement.
POSITRON CAMERA SYSTEM FOR HEAVY-ION RADIOTHERAPY AT HIMAC

The positron camera system was designed and developed at the secondary beam course of HIMAC to measure heavy-ion ranges in bodies of patients. By using the pencil-like beam of positron emitters, such as 11 C, the range is checked directly and precisely by detecting pairs of annihilation gamma rays emitted from the stopping point of the beam. The positron camera consists of a pair of Anger-type scintillation cameras. In order to achieve high detection efficiency, each detector is equipped with a large NaI(Tl) crystal having a thickness of 30 mm and a diameter of 600 mm. The test results reveal that the range can be measured with accuracy of less than 1 mm under the limitation that the irradiation dose has to be less than a few percent of the therapeutic one.
Using a birth‐and‐death process to estimate the steady‐state distribution of a periodic queue

If the number of customers in a queueing system as a function of time has a proper limiting steady‐state distribution, then that steady‐state distribution can be estimated from system data by fitting a general stationary birth‐and‐death (BD) process model to the data and solving for its steady‐state distribution using the familiar local‐balance steady‐state equation for BD processes, even if the actual process is not a BD process. We show that this indirect way to estimate the steady‐state distribution can be effective for periodic queues, because the fitted birth and death rates often have special structure allowing them to be estimated efficiently by fitting parametric functions with only a few parameters, for example, 2. We focus on the multiserver Mt/GI/s queue with a nonhomogeneous Poisson arrival process having a periodic time‐varying rate function. We establish properties of its steady‐state distribution and fitted BD rates. We also show that the fitted BD rates can be a useful diagnostic tool to see if an Mt/GI/s model is appropriate for a complex queueing system. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 664–685, 2015
Data streams classification by incremental rule learning with parameterized generalization

Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up--to--date border examples to avoid unnecessary revisions when virtual drifts are present in data. Consistent rules classify new test examples by covering and inconsistent rules classify them by distance as the nearest neighbor algorithm. In addition, the system provides an implicit forgetting heuristic so that positive and negative examples are removed from a rule when they are not near one another.
De rol van welvaartsstaten en professies in de Vlaams-Nederlandse verschillen in de organisatie van de zorg voor moeder en kind

The Netherlands are well-known for their high percentage of home deliveries and low medical intervention rates. In Flanders home deliveries are rare and maternity care is dominated by the biomedical discourse. By combining insights from the cross-national analysis of welfare states with medical sociology and the sociology of professions, we explore the diverging social forces causing these Flemish-Dutch differences in the organisation of formal and informal care. The cross-national differences are the result of the diverging professionalisation trajectories of the Flemish and Dutch midwives, and the family policies of the Belgian and Dutch welfare states. In Flanders defamilialising family policies complement the medicalisation of maternity care through the formalisation of care. In addition, the professionalisation of the medical profession, but not midwives, has been supported. The Netherlands are characterised by the ambivalent co-presence of familialising and defamilialising structures in parental care, and the social and medical model regarding maternity care. The social model is supported by the semi-professionalisation of Dutch midwives.
3D Surface Extraction Using Incremental Tetrahedra Carving

We propose a fully incremental and yet globally optimal surface extraction method for updating the 3D surfaces when new images, camera poses and 3D points are additionally registered into the existing 3D model. We extend the tetrahedra-carving-based surface extraction algorithm to the incremental fashion by efficiently detecting ray-tetrahedra intersections and formatting the graph to solve with the dynamic graph cut. The proposed method can result the surfaces identical to the one running from scratch, i.e. the global optimality of the extracted surface is guaranteed while improving the efficiency with fully incremental procedures. We compare the proposed method with state-of-the-art baseline methods and finally demonstrate the surface extraction of fairly large objects.
Bioengineered glaucomatous 3D human trabecular meshwork as an in vitro disease model

Intraocular pressure (IOP) is mostly regulated by aqueous humor outflow through the human trabecular meshwork (HTM) and represents the only modifiable risk factor of glaucoma. The lack of IOP‐modulating therapeutics that targets HTM underscores the need of engineering HTM for understanding the outflow physiology and glaucoma pathology in vitro. Using a 3D HTM model that allows for regulation of outflow in response to a pharmacologic steroid, a fibrotic state has been induced resembling that of glaucomatous HTM. This disease model exhibits HTM marker expression, ECM overproduction, impaired HTM cell phagocytic activity and outflow resistance, which represent characteristics found in steroid‐induced glaucoma. In particular, steroid‐induced ECM alterations in the glaucomatous model can be modified by a ROCK inhibitor. Altogether, this work presents a novel in vitro disease model that allows for physiological and pathological studies pertaining to regulating outflow, leading to improved understanding of steroid‐induced glaucoma and accelerated discovery of new therapeutic targets. Biotechnol. Bioeng. 2016;113: 1357–1368. © 2015 Wiley Periodicals, Inc.
Extensive translation of small Open Reading Frames revealed by Poly-Ribo-Seq

Thousands of small Open Reading Frames (smORFs) with the potential to encode small peptides of fewer than 100 amino acids exist in our genomes. However, the number of smORFs actually translated, and their molecular and functional roles are still unclear. In this study, we present a genome-wide assessment of smORF translation by ribosomal profiling of polysomal fractions in Drosophila. We detect two types of smORFs bound by multiple ribosomes and thus undergoing productive translation. The ‘longer’ smORFs of around 80 amino acids resemble canonical proteins in translational metrics and conservation, and display a propensity to contain transmembrane motifs. The ‘dwarf’ smORFs are in general shorter (around 20 amino-acid long), are mostly found in 5′-UTRs and non-coding RNAs, are less well conserved, and have no bioinformatic indicators of peptide function. Our findings indicate that thousands of smORFs are translated in metazoan genomes, reinforcing the idea that smORFs are an abundant and fundamental genome component. DOI: http://dx.doi. org/10.7554/eLife.03528. 001
Tree SSA A New Optimization Infrastructure for GCC

Tree SSA is a new optimization framework based on the Static Single Assignment (SSA) form that operates on GCC’s tree representation. Tree SSA is designed to be both language and target independent and allow highlevel analyses and transformations that are difficult or impossible to implement with RTL. One of the main goals of the project is to produce an analysis and optimization infrastructure based on proven algorithms and techniques available in the literature. In this paper we describe the design and implementation of the Tree SSA framework, provide preliminary results and discuss possible applications and future work.
Approximating n-player behavioural strategy nash equilibria using coevolution

Coevolutionary algorithms are plagued with a set of problems related to intransitivity that make it questionable what the end product of a coevolutionary run can achieve. With the introduction of solution concepts into coevolution, part of the issue was alleviated, however efficiently representing and achieving game theoretic solution concepts is still not a trivial task. In this paper we propose a coevolutionary algorithm that approximates behavioural strategy Nash equilibria in n-player zero sum games, by exploiting the min-max solution concept. In order to support our case we provide a set of experiments in both games of known and unknown equilibria. In the case of known equilibria, we can confirm our algorithm converges to the known solution, while in the case of unknown equilibria we can see a steady progress towards Nash.
Bis(triphenylphosphine-κP)(tropolonato-κ2 O,O′)silver(I) dichloromethane solvate

The title compound, [Ag(C7H5O2)(C18H15P)2]·CH2Cl2, crystallizes with a distorted tetrahedral geometry about the AgI atom, defined by two O atoms from one tropolonate ligand and two P atoms from two triphenylphosphine ligands. It is an example of a new type of tropolone derivative that has not been characterized via solid-state methods.
A Fast Hole-filling Strategy of 3D Scanned Human Body

Human body scanning technology has a promising application in many fields such as anthropometric surveys, clothing design. Due to the properties of surface (e.g. parallel to camera, occlude, reflectance) cause holes or gaps on the Human Body scanned(HBS) data (e.g. corst, top of head) which challenged the HBS data in applications. Since scanned data usually got noise points near the hole or on the edge, the result of typical boundary edge based filling-hole strategy is tend to be affected by the noise points. And the muti-times-scanned method of filling hole will encountered with high cost both of time and labor consume. This paper presents a filling hole strategy based on point cloud for HBS data. The algorithm is free from identification and triangulation process which is more simply and effectively with less time costs and the method is immune to affection of the noise points near boundary of the holes in constrat to the typical hole filling algorithms.
A new approach to process top-k spatial preference queries in a directed road network

Top-k spatial preference query ranks objects based on the score of feature objects in their spatial neighborhood. Top-k preference queries are crucial for wide range of location based services such as hotel browsing and apartment searching; several algorithms have been proposed to process them in Euclidean space. Although, few algorithms study top-k preference queries in a road network, however, they all focus on undirected road network. To the best of our knowledge, this is the first attempt to investigate the problem of processing the top-k spatial preference queries in a directed road networks. Computation of data object score requires examining the scores of feature objects in its spatial neighborhood. This may raise the processing cost resulting in high query processing time. Therefore, in this paper we propose a new preference query search algorithm called PSA that can efficiently answer the top-k spatial preference queries in directed road network. Experimental study shows that our algorithm significantly reduces the query processing time compared to baseline solution for a wide range of problem settings.
The Critical Role of Computationally Robust AC Optimal Power Flow in Reliable and Efficient Reactive Power/Voltage Dispatch

While it has been known for a long time that reactive power and voltage support must be provided in order to operate complex electric power grids reliably, this need has recently become more apparent. In particular, provision and valuing of reactive power and voltage control are becoming increasingly complex as the electric power grid is being utilized in qualitatively new ways. Adequate voltage support requires careful coordination of adding hardware and its on-line utilization. Given the overall complexity of today's electric power grids, we propose that it is critical to rely on robust software for assessing potential voltage problems and for scheduling of available reactive power/voltage control resources as loading and equipment status vary. We illustrate the potential benefits from developing and using a new generation of software for corrective scheduling as loading and network conditions vary over broad ranges. The potential benefits are described using a large-scale New England electric power system representation
Computer program to assist pharmacy management of an inpatient warfarin dosing service.

The therapeutic use of warfarin requires close monitoring of doses and International Normalized Ratios (INRs) by trained personnel. Outpatient anticoagulation clinics have established the efficacy of warfarin monitoring and dosing by pharmacists and nurses. In a study conducted by Wilt et al.,[1][1
Introduction to UWB Signals and Systems

The word ‘ultra-wideband’ (UWB) commonly refers to signals or systems that either have a large relative, or a large absolute bandwidth. Such a large bandwidth offers specific advantages with respect to signal robustness, information content and/or implementation simplicity, but lead to fundamental differences from conventional, narrowband systems. The past years have seen a confluence of technological and political/economic circumstances that enabled practical use of UWB systems; consequently, interest in UWB has grown dramatically. This book gives a detailed investigation of an important part of this development, namely UWB antennas and propagation. The current chapter is intended to place this part in the bigger picture by relating it to the issues of system design, applications and regulatory rules.
Bundling: reducing the overhead of multiprocessor prefetchers

Summary form only given. Prefetching has proven to be a useful technique for reducing cache misses in multiprocessors at the cost of increased coherence traffic. This is especially trouble some for snoop-based systems, where the available coherence bandwidth often is the scalability bottleneck. The bundling technique reduces the overhead caused by prefetching in two ways: piggybacking prefetches with normal requests, and requiring only one device to perform the snoop lookup for each prefetch transaction. This can reduce both the address bandwidth and the number of snoop lookups compared with a nonprefetching system. We describe bundling implementations for two important transaction types: reads and upgrades. While bundling could reduce the overhead of most existing prefetch schemes, the evaluation of bundling performed has been limited to two of them: sequential prefetching and Dahlgren's adaptive sequential prefetching. Both schemes have their snoop bandwidth halved for all commercial and scientific benchmarks in the study. The combined effect of bundling applied to these prefetch schemes lowers the cache miss rate, the address bandwidth and the snoop bandwidth, compared with a system with no prefetching, for all applications. Bundling, will not reduce the data bandwidth introduced by a prefetch scheme. However, we argue that the data bandwidth is more easily scaled than the snoop bandwidth for snoop-based coherence systems.
The evolutionary puzzle of egg size, oxygenation and parental care in aquatic environments

Offspring fitness generally improves with increasing egg size. Yet, eggs of most aquatic organisms are small. A common but largely untested assumption is that larger embryos require more oxygen than they can acquire through diffusion via the egg surface, constraining egg size evolution. However, we found no detrimental effects of large egg size on embryo growth and survival under hypoxic conditions. We tested this in the broad-nosed pipefish, Syngnathus typhle, whose males provide extensive care (nourishment, osmoregulation and oxygenation) to their young in a brood pouch on their bodies. We took advantage of this species' pronounced variation in egg size, correlating positively with female size, and tested the effect of hypoxia (40% dissolved oxygen) versus fully oxygenated (100%) water on embryo size and survival of large versus small eggs after 18 days of paternal brooding. Egg size did not affect embryo survival, regardless of O2 treatment. While hypoxia affected embryo size negatively, both large and small eggs showed similar reductions in growth. Males in hypoxia ventilated more and males with large eggs swam more, but neither treatment affected their position in the water column. Overall, our results call into question the most common explanation for constrained egg size evolution in aquatic environments.
Exploring TV white spaces for the mitigation of AIS weaknesses

Ship Reporting Systems (SRSs) are aimed at a safer sailing, by providing a timely description of the sea traffic. Automatic Identification System (AIS) is the most known SRS and works in the VHF band: given the limited available bandwidth, AIS mainly addresses pure line-of-sight scenarios and neglects security aspects. Specifically to overcome the current limitations of AIS and make it more robust and reliable, new solutions are being investigated. This paper explores for the first time the potential role of white-space frequencies as an auxiliary channel, bearing Out-Of-Band signals required to make AIS more versatile. The simulation analyses confirm the applicability of this band and outline possible future studies and activities.
Design Trade-offs in Ultra-Low-Power Digital Nanoscale CMOS

While the general trend in CMOS technology scaling is mostly focused on high-performance and high-speed circuits, the potential use of advanced nanoscale technologies for ultra-low power (ULP) applications with lower operating frequencies is still debated. In these types of applications, the supply voltage is generally reduced well below threshold voltage of MOS devices in order to limit dissipation and to control the device leakage current due to the subthreshold channel residual current. However, recent studies show that reducing the supply voltage increases the device susceptibility to process variations, resulting in delay spread and decreased noise margin. This article presents an analytical approach for studying the effect of technology scaling and variability on performance of ULP integrated systems. Unlike the conventional design methodologies, we include the effect of process variation on circuit performance (such as on noise margin and delay) in each step of design and optimization. Here, the power dissipation and noise margin are both calculated as a function of turn-on and turn-off current of devices. This approach helps to explore the effect of these two quantities on performance of CMOS digital circuits. The trade-offs between the choice of supply voltage, threshold voltage, device dimensions, delay performance, activity rate, and power consumption are analytically examined using predictive device models, for different technology nodes. Taking into account the circuit reliability requirements, this analysis can be used to optimize the system performance with proper device sizing and selecting supply voltage.