Miracle-dz/UniFAR-FTUs huggingface dataset:
Electric-magnetic-electric slow-wave microstrip line and bandpass filter of compressed size

This paper presents a novel integrated microstrip low-loss slow-wave line. The new microstrip replaces the conventional metal strip by composite metals paralleling the electric surface and magnetic surface (MS). The MS made of an array of coupled inductors shows a high-impedance state in the stopband, below which the propagation properties can be well controlled by varying the dimensions of the electric surface and MS. The dispersion curves obtained by matrix-pencil analyses closely correspond to those obtained by scattering-parameter extraction. Theoretical results, as confirmed experimentally, indicate that an increase of over 60% in the slow-wave factor can be achieved without sacrificing propagation losses, using the proposed structure. This electric-magnetic-electric (EME) microstrip is insensitive to the alignment position of the periodical structure, and can be constructed using conventional printed-circuit-board fabrication processes and integrated with other microwave components in a multilayered circuit. A compact EME bandpass filter (BPF) with suppressed harmonic responses is presented. The length of the filter is reduced by 26%, and the measured insertion loss and fractional bandwidth is comparable to that of a conventional microstrip BPF on the same substrate.
Testing Preference Axioms in Discrete Choice experiments: A Reappraisal

Recent studies have tested the preference axioms of completeness and transitivity, and have detected other preference phenomena such as unstability, learning- and tiredness effects, ordering effects and dominance, in stated preference discrete choice experiments. However, it has not been explicitly addressed in these studies which preference models are actually being tested, and the connection between the statistical tests performed and the relevant underlying models of respondent behavior has not been explored further. This paper tries to fill that gap. We specifically analyze the meaning and role of the preference axioms and other preference phenomena in the context of stated preference discrete choice experiments, and examine whether or how these can be subject to meaningful (statistical) tests.
The Effects of Altimeter Instrument Noise on the Estimation of the Wavenumber Spectrum of Sea Surface Height

The wavenumber spectrum of sea surface height (SSH) observed by satellite altimetry was analyzed by Xu and Fu. The spectral shape in the wavelength range of 70-250 km was approximated by a power law, representing a regime governed by geostrophic turbulence theories. The effects of altimeter instrument noise were assumed insignificant at wavelengths longer than 70 km. The authors reexamined the assumption in the study. Using nearly simultaneous observations made by Jason-1 and Jason-2 during their cross-calibration phase, this study found that the white noise level of altimetry measurement was best estimated from the spectral values at wavelengths from 25 to 35 km. After removing a white noise level based on such estimate from the SSH spectrum, the spectral slope values changed significantly over most of the oceans. A key finding is that the spectral slopes are generally steeper than k(-2) (k is wavenumber) poleward of the 20 degrees latitudes, where flatter spectral slopes in some regions have previously caused problems for dynamic interpretations. The new results indicate that the spectral slopes in the core regions of the major ocean current systems have values between the original geostrophic turbulence theory and the surface quasigeostrophic theory. The near k(-4) spectrum suggests that the sea surface height variability at these wavelengths in the high eddy energy regions might be governed by frontogenesis.
Rapid and sensitive determination of carnitine profiling by tandem mass spectrometry can be a diagnostic marker of paroxysmal atrial fibrillation

DOI: 10.4328/JCAM.5815 Received: 13.03. 2018 Accepted: 29.03. 2018 Published Online: 02.04. 2018 Printed: 01.09. 2018 J Clin Anal Med 2018;9(5): 447-51 Corresponding Author: İsmail Koyuncu, Harran University, Faculty of Medicine, Department of Medical Biochemistry, Şanlıurfa, Türkiye. T. : +90 414 3183209 F. : +90 4143183208 E-Mail: ismailkoyuncu1@gmail.com ORCID ID: 0000-0002-9469-4757 Abstract Aim: Paroxysmal atrial fibrillation (PAF), which is in the sub-group of atrial fibrillation that spontaneously resolves within 48 hours and does not last more than 7 days, is one of the most important causes of cryptogenic stroke. Other than ECG findings, there are no biochemical diagnostic criteria for PAF. Early diagnosis of PAF reduces the risk of morbidity and mortality. Therefore, it is important to identify new diagnostic markers. Metabolomics methods have recently started to be used for this purpose. Carnitine profiling with LC-MS/MS is a fast, inexpensive metabolomics screening method with high sensitivity and has started to be used for the determination of new diagnostic markers. The aim of this study was to investigate the viability of the carnitine profile as a new biochemical marker supporting diagnosis in PAF patients. Material and Method: A total of 27 carnitine ester profiles were examined with the LC-MS/MS method using serum samples taken from 41 patients diagnosed with PAF from ECG findings and 42 healthy individuals with sinus rhythm. Results: The C14, C16:1, and C18:1 serum carnitine ester levels of the PAF patients were determined to be statistically significantly higher than those of the healthy control group (p<0.05) and C6DC levels were found to be significantly lower (p<0.05). Discussion: The results of the study strengthened the view that with measurements made with LCMS/MS, the carnitine profile, which is an inexpensive, sensitive reference method, can be used as an objective biochemical test to support diagnosis.
The JET Alfvén Eigenmode Local Manager for the real-time detection and tracking of MHD instabilities

In this work we report the successful application of an innovative method, based on the Sparse Representation of signals, to perform a real-time, unsupervised detection of the individual components in a frequency degenerate, multi-harmonic spectrum, using a small number of data unevenly sampled in the spatial domain. This method has been developed from its original applications in astronomy, and is now routinely used in the JET thermonuclear fusion experiment to obtain the decomposition of a spectrum of high-frequency (∼10–500 kHz range) magnetic instabilities with a sub-ms time resolution, allowing the real-time tracking of its individual components as the plasma background evolves. This work opens a path towards developing real-time control tools for electro-magnetic instabilities in future fusion devices aimed at achieving a net energy gain. More generally, the speed and accuracy of this algorithm is recommended for instances of physics measurements and control engineering where an unsupervised, real-time decomposition of a degenerate signal is required from a small number of data.
Optimization of a Multi-product Three-echelon Supply Chain

This paper aims at the single-objective optimization of multi-product for three-echelon supply chain architecture consisting of production plants, distribution centers (DCs), and customer zones (CZs). The key design decisions considered in the study include the quantity of products to be shipped from plants to DCs, from DCs to CZs , cycle length, and the production quantity so as to minimize the total cost . To optimize the objective, three-echelon network model is mathematically represented considering the associated constraints, production, capacity and shipment costs and solved using genetic algorithm (GA) and Simulated Annealing (SA). Some numerical illustrations are provided at the end to not only show the applicability of the proposed methodology, but also to select the best method using a t-test along with the simple additive weighting (SAW) method.
Pressure Sensor Based on Mechanically Induced LPFG in Novel MSM Fiber Structure

We have proposed and demonstrated experimentally a novel and simple pressure sensor based on mechanically induced long period optical fiber gratings. We report here for the first time to our knowledge the characterization of mechanically induced long period fiber gratings in novel multimode-singlemode-multimode fiber structure. The MLPFG induced in single mode fiber and multimode fibers are studied separately and the results are compared with MLPFG induced in MSM fiber structure. MLPFG in MSM structure has much greater sensitivity. We have obtained maximum transmission loss peak of around 18 dB, and the sensitivity of pressure sensor is 8 dB/Kg.
A Cucumber AGAMOUS-LIKE 15 (AGL15) MADS-Box Gene Mediates Abnormal Leaf Morphology in Arabidopsis

The AGL15 subfamily MADS-box proteins play vital roles in various developmental processes, such as floral transition, somatic embryogenesis, and leaf and fruit development. In this work, an AtAGL15 ortholog, CsMADS26, was cloned from cucumber (Cucumis sativus L.). The open reading frame (ORF) of CsMADS26 is 669 bp in length, encoding a predicted protein of 222 amino acids. The CsMADS26 protein contains a highly conserved MADS-box domain and a variable C domain, as well as less conserved I and K domains. Phylogenetic relationship analysis revealed that CsMADS26 was clustered into the AGL15 clade of AGL15 subfamily. Expression analysis based on qRT-PCR showed that CsMADS26 is mainly expressed in reproductive organs including flowers and fruits. Transgenic Arabidopsis plants with ectopic expression of CsMADS26 exhibited curled rosette and cauline leaves, and the leaf size was much smaller than that of wild-type (WT) plants. These results provide clues for the functional characterization of CsMADS26 in the future.
The impact of sampling frequency and amplitude modulation index on low order harmonics in a 3-phase SV-PVM voltage source inverter

Nowadays, variable speed AC motors are widely used in industry and there are many speed adjustment techniques available. In the last decade there has been a trend towards the use of space vector PWM–IGBT inverters, due to easier digital realization and better utilization of the DC bus. Every power inverter produces a total harmonic distortion (THD) on its output that causes extra losses in stator of induction motors. By eliminating a number of low order voltage/current harmonics it is possible to reduce harmonic losses (stator losses) and mechanical oscillations in general. This could be achieved by implementing filters in the output of inverters or by applying a modern modulation technique such as space vector pulse width modulation (SV-PWM). The objective of this paper is focused on using general techniques of SV-PWM in 2-level 3-phase voltage source inverters for inductive load tempting to eliminate the low order voltage/current harmonics, by varying sampling frequency and amplitude modulation index, without using filters.
On the shock-induced variability of emission lines in M-type Mira variables - II. Fe II and [Fe II] emission lines as a diagnostic tool

Our observations of cool, shock penetrated, expanding atmospheres of M-type Mira variables (Richter & Wood 2001) have suggested that the emission lines of FeII and (FeII) can serve as an excellent diagnostic tool to study the hydro- and thermodynamical conditions in the shocked regions close to the photosphere of these stars. Here we present a series of detailed NLTE (Non Local Thermodynamic Equilibrium) radiative transfer calculations, which have been performed on structures re- sulting from thermodynamical models of periodic shock waves, in order to calculate the emergent FeII and (FeII) emission line fluxes and to analyse the conditions which lead to their formation. Our basic parameter studies reveal that the ionised iron lines originate from the hot post-shock zone and that they are in fact emitted close to the star's photosphere. Furthermore, the modelling of the FeII and (FeII) emission line fluxes determine a specified limit of the shock velocity amplitude and pre-shock density for the innermost shocks. This offers an unique possibility to determine the thermodynamical conditions in the inner dust formation zone and thereby will shed some light on the basic mechanism of dust formation in M-type Mira stars.
Mesoscale Physicochemical Interactions in Lithium–Sulfur Batteries: Progress and Perspective

The shuttle effect and poor conductivity of the discharge products are among the primary impediments and scientific challenges for lithium–sulfur batteries. The lithium–sulfur battery is a complex energy storage system, which involves multistep electrochemical reactions, insoluble polysulfide precipitation in the cathode, soluble polysulfide transport, and self-discharge caused by chemical reactions between polysulfides and Li metal anode. These phenomena happen at different length and time-scales and are difficult to be entirely gauged by experimental techniques. In this paper, we reviewed the multiscale modeling studies on lithium–sulfur batteries: (1) the atomistic simulations were employed to seek alternative materials for mitigating the shuttle effect; (2) the growth kinetics of Li2S film and corresponding surface passivation were investigated by the interfacial model based on findings from atomistic simulations; (3) the nature of Li2S2, which is the only solid intermediate product, was revealed by the density functional theory simulation; and (4) macroscale models were developed to analyze the effect of reaction kinetics, sulfur loading, and transport properties on the cell performance. The challenge for the multiscale modeling approach is translating the microscopic information from atomistic simulations and interfacial model into the meso-/macroscale model for accurately predicting the cell performance. [DOI: 10.1115/1.4037785]
Catch composition of the spiny lobster Panulirus gracilis (Decapoda: Palinuridae) off the western coast of Mexico

The lobster fishery in the Gulf of California and the south-central region of the western coast of Mexico consists of small-scale artisanal activity supported by Panulirus gracilis and P. inflatus, with an annual average catch of 132 ton. The present study analyzes the landing composition of this fishery and the population structure of P. gracilis. Carapace lengths (CL) for this species ranged from 35 to 125 mm, and the most frequent sizes were between 60 and 85 mm. The size distribution was approximately normal. This implies that the fishery is composed of several size classes, with annual recruitment to the fishing areas. For the 1989-1990 and 1990-1991 fishing seasons, the mean monthly sizes of males were between 70.18 ± 11.74 and 81.11 ± 6.76 mm CL, whereas females averaged from 73.60 ± 8.95 to 80.28 ± 7.53 mm CL. Power-law relationships between carapace length (CL in mm) and total weight (TW in g) were determined, resulting in the following equations: PT = 0.0021 CL 2.7689 for males and PT = 0.0009 CL 3.0038 for females. During certain periods of the year, males dominated the catch; however, the overall annual male:female ratio was near 1:1.
Study on biological activities of Mansao hymenaea (DC.) A. Gentry leaf extracts

Chirunthorn, R. , Supavita, T. , Intaraksa, N. , Kummee, S. , Junkong, N. , Chisorn, B. , and Itharat, A. Study on biological activities of Mansao hymenaea (DC.) A. Gentry leaf extracts
Automatic extraction of Word Combinations from corpora: Evaluating methods and benchmarks

English. We report on three experiments aimed at comparing two popular methods for the automatic extraction of Word Combinations from corpora, with a view to evaluate: i) their efficacy in acquiring data to be included in a combinatory resource for Italian; ii) the impact of different types of benchmarks on the evaluation itself. Italiano. Presentiamo i risultati di tre esperimenti che mirano a confrontare due metodi di estrazione automatica di combinazioni di parole da corpora, con lo scopo di: (i) valutare l’efficacia dei due metodi per acquisire dati da includere in una risorsa combinatoria per l’italiano, e (ii) analizzare e confrontare i metodi di valutazione stessi.
Lithium: Event-Driven Network Control

This paper introduces event-driven network control, a network control framework that makes networks easier to manage by automating many tasks that must currently be performed by manually modifying low-level, distributed, and complex device configuration. We identify four policy domains that inherently capture many events: time, user, history, and traffic flow. We then present Lithium, an eventdriven network control framework that can implement policies expressed using these domains. Lithium can support policies that automatically react to a wide range of events, from fluctuations in traffic volumes to changes in the time of day. Lithium allows network operators to specify networkwide policies in terms of a high-level, event-driven policy model, as opposed to configuring individual network devices with low-level commands. To show that Lithium is practical, general, and applicable in different types of network scenarios, we have deployed Lithium in both a campus network and a home network and used it to implement more flexible and dynamic network policies. We also perform evaluations to show that Lithium introduces negligible overhead beyond a conventional OpenFlow-based control framework.
AN INTEGRATED SIMULATION FRAMEWORK FOR EXAMINING RESILIENCY IN PHARMACEUTICAL SUPPLY CHAINS CONSIDERING HUMAN BEHAVIORS

The growing epidemic of drug shortages in the United States causes challenges for providers all across the critical health care infrastructure and demonstrates the lack of resiliency within drug delivery supply chains. With many drugs having no acceptable substitute, drug shortages directly translate to a public health and safety risk. One of the understudied elements driving this crisis is the role of human behavior and human decision making across the supply chain echelons. We propose an integrated simulation framework which allows for instantiating, testing, and improving supply chains when accounting for human components of the system. We demonstrate the potential insights that can be obtained with our method through several experiments in which supply chain decision makers account for how others might react to their decisions.
Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure

The article proposes a new insurance medical cost prediction method. It is based on the piecewise-linear approach using the SGTM neural-like structure. Piecewise-linear approach provides high processing efficiency for large amounts of data, and the SGTM neural-like structure provides high accuracy and high-speed training procedure. The simulation of the proposed method using real data on health insurance costs and two SGTM neural-like structure cascades was performed. The high speed and accuracy of the proposed method were experimentally determined. The comparison of the proposed method was carried out with the existing methods, in particular, multilayer perceptron and the Common SGTM neural-like structure, which solved the task using all dataset. It was found that the worst results show a multilayer perceptron: the accuracy of its operation according to MAPE is more than 23% less than the accuracy of the proposed method, and the time of the training procedure lasts 51 times longer. The baseline method, Common SGTM neural-like structure, shows a higher learning speed but less precision an 11% greater error than the developed method. The obtained results showed the possibility of using the proposed approach for the processing of a large amount of data, in particular in the fields of medicine, economics, materials science, service sciences.
Intraplate volcanism at the edges of the Colorado Plateau sustained by a combination of triggered edge‐driven convection and shear‐driven upwelling

Although volcanism in the southwestern United States has been studied extensively, its origin remains controversial. Various mechanisms such as mantle plumes, upwelling in response to slab sinking, and small‐scale convective processes have been proposed, but have not been evaluated within the context of rapidly shearing asthenosphere that is thought to underlie this region. Using geodynamic models that include this shear, we here explore spatiotemporal patterns of mantle melting and volcanism near the Colorado Plateau. We show that the presence of viscosity heterogeneity within an environment of asthenospheric shearing can give rise to decompression melting along the margins of the Colorado Plateau. Our models indicate that eastward shear flow can advect pockets of anomalously low viscosity toward the edges of thickened lithosphere beneath the plateau, where they can induce decompression melting in two ways. First, the arrival of the pockets critically changes the effective viscosity near the plateau to trigger small‐scale edge‐driven convection. Second, they can excite shear‐driven upwelling (SDU), in which horizontal shear flow becomes redirected upward as it is focused within the low‐viscosity pocket. We find that a combination of “triggered” edge‐driven convection and SDU can explain volcanism along the margins of the Colorado Plateau, its encroachment toward the plateau's southwestern edge, and the association of volcanism with slow seismic anomalies in the asthenosphere. Geographic patterns of intraplate volcanism in regions of vigorous asthenospheric shearing may thus directly mirror viscosity heterogeneity of the sublithospheric mantle.
Communications-general Body composition and dietary intake in neoplastic disease 1 ’ 2

Changes in body composition in 37 cancer patients were studied over a period of 6 months. Total body nitrogen was measured by prompt ‘y neutron activation; total body potassium by whole body counting, and total body water with the use of the tritium isotope. The nitrogen balance of patients with neophastic diseases varied from marked negative to positive. Initially, the patients were divided into two groups: those who lost body weight (over 10%) and those who maintained or gained body weight before the study. Analysis of body composition indicated that patients who lost body weight had caloric and protein intakes markedly below “normal” levels at the beginning of the study. There also appears to be a direct relationship between the protein intake and the total body potassium/total body water ratio in the cancer patients. At the end of the 6-month study, the patients were again placed into two groups on the basis of weight loss or gain (and maintenance). Changes in body composition over the period were analyzed in terms of lean body mass, its protein constituent, water, and fat. Weight loss was found to reflect primarily the loss of fat, water, lean body mass (potassium), and only to a minor extent the protein component of lean body mass (nitrogen). Further, on the basis of the values of the ratios of total body nitrogen! total body potassium/total body water, it was possible to ascertain the relative normalcy of the body tissue gained or host in the 6-month period. The results of the present study suggest that the ratio total body nitrogen/total body potassium may serve as the best indicator of recent or ongoing catabolism or anabolism of the neoplastic process. By means of the application of the techniques used in this study for the determination of body composition, it should be possible to assess regimes of hyperalimentation for cancer patients who hose body weight. Am. J. Clin. Nutr. 34: 1997-