Miracle-dz/UniFAR-FTUs huggingface dataset:
Connecting the Greenland ice-core and U∕Th timescales via cosmogenic radionuclides: testing the synchroneity of Dansgaard–Oeschger events

Abstract. During the last glacial period Northern Hemisphere climate was characterized by extreme and abrupt climate changes, so-called Dansgaard–Oeschger (DO) events. Most clearly observed as temperature changes in Greenland ice-core records, their climatic imprint was geographically widespread. However, the temporal relation between DO events in Greenland and other regions is uncertain due to the chronological uncertainties of each archive, limiting our ability to test hypotheses of synchronous change. In contrast, the assumption of direct synchrony of climate changes forms the basis of many timescales. Here, we use cosmogenic radionuclides (10Be, 36Cl, 14C) to link Greenland ice-core records to U∕Th-dated speleothems, quantify offsets between the two timescales, and improve their absolute dating back to 45 000 years ago. This approach allows us to test the assumption that DO events occurred synchronously between Greenland ice-core and tropical speleothem records with unprecedented precision. We find that the onset of DO events occurs within synchronization uncertainties in all investigated records. Importantly, we demonstrate that local discrepancies remain in the temporal development of rapid climate change for specific events and speleothems. These may either be related to the location of proxy records relative to the shifting atmospheric fronts or to underestimated U∕Th dating uncertainties. Our study thus highlights the potential for misleading interpretations of the Earth system when applying the common practice of climate wiggle matching.
OPTICAL IDENTIFICATION OF CONSTRUCTION AND DEMOLI- TION WASTE BY USING IMAGE PROCESSING AND MACHINE LEARNING METHODS

This paper discusses the possibility of the optical identification of recycled aggregates of construction and demolition waste (CDW) as basis of an innovative sorting method on the field of processing of CDW. The first target was to find suitable identification attributes for the differentiation of aggregates, which are difficult to separate. For the investigations images of the given aggregate classes were captured and analysed by algorithms of image process- ing and machine learning. The interdependencies between dataset character, feature vector, type of the selected classi- fier and parameter settings of classifier are very complex and they were analyzed in this paper.
Identification and Antibiotic Sensitivity of UTI Pathogens Using Raman Spectroscopy

Conventional methods of Urinary Tract Infection (UTI) diagnosis require determining the concentration and identity of the involved bacteria, as well as their susceptibility to various antibiotics, the so-called antibiogram. Such assays require repeated culturing of a sample and need at least 48 hours in order for bacterial colonies to be grown, counted, and exposed to antibiotics. However, the patient cannot remain untreated during this rather prolonged period before definitive diagnosis of the suspected infection becomes available. As a result, physicians prescribe broad spectrum antibiotics prior to antibiogram availability. This practice has many undesirable consequences, both short term and long term: (i) unsuccessful treatments leading to chronic infections, (ii) increased health care costs, and, most importantly, (iii) increased antibiotic resistance by a growing number of bacterial strains (Gruneberg, 1994; Casadevall, 1996; Cosgrove, S. & Carmeli, 2003; Alanis, 2005). Given these concerns, it is obvious that rapid and accurate identification of UTI pathogens as well as determination of their susceptibility to antibiotics would offer significant clinical benefits. Such methodologies are currently being developed and include the promising application of Raman spectroscopy for the diagnosis of UTIs. Recently, rapid diagnosis methods based on polymerase chain reaction (PCR) have been developed in order to bypass the need for culturing (Mothershed & Whitney, 2006) as well as to identify genes that confer antibiotic resistance (Rolain et al., 2004). Although such PCR assays are fast and very sensitive, they typically require species and strain specific probes that may or may not be available for a particular organism. In addition, amplification methods, like PCR, suffer from contamination problems, complex interpretation of results, as well as high costs. Mass Spectrometry is another method that has been proposed as an alternative approach for bacterial diagnostics without culturing (Chen et al., 2008). However, like the PCR approach, Mass Spectrometry also depends on prior knowledge of the pathogen under study and suffers from increased complexity and cost. Vibrational spectroscopies, like Raman spectroscopy, have been used, for the last few years, to detect bacteria with minimal sample manipulation (Maquelin et al., 2000; Schuster, 2000a, 2000b). Classification of bacterial species, as well as of subspecies, has been achieved with great accuracy and speed, especially with Surface Enhanced Raman Spectroscopy (SERS) (Kneipp et al., 2006) which allows enhancement of the inherently weak Raman signal. More
Question Classification Using Extreme Learning Machine on Semantic Features

In statistical machine learning approaches for question classification, efforts based on lexical feature space require high computation power and complex data structures. This is due to the large number of unique words (or high dimensionality). Choosing semantic features instead could significantly reduce the dimensionality of the feature space. This article describes the use of Extreme Learning Machine (ELM) for question classification based on semantic features to improve both the training and testing speeds compared to the benchmark Support Vector Machine (SVM) classifier. Improvements have also been made to the head word extraction and word sense disambiguation processes. These have resulted in a higher accuracy (an increase of 0.2%) for the classification of coarse classes compared to the benchmark. For the fine classes, however, there is a 1.0% decrease in accuracy but is compensated by a significant increase in speed (92.1% on average).
Special interests and political business cycles

In this paper we bridge the gap between special interest politics and political business cycle literature. We build a framework where the interplay between the lobby power of special interest groups and the voting power of the majority of the population leads to political business cycles. We apply our set up to explain electoral cycles in government expenditure composition, aggregate expenditures and real exchange rates.
Identification of Viral Structural Proteins in the Nucleoplasm of Potato Yellow Dwarf Virus-infected Cells

Summary Antiserum raised against purified potato yellow dwarf virus (PYDV) reacted specifically with all five viral structural proteins in immunoblots and also with ultrathin sections of infected tobacco cells. In these sections viral proteins were detected with gold-labelled anti-IgG antibodies and gold particles were predominantly located over the nucleoplasm and over PYDV virus particles either at the periphery of nuclei or in the cytoplasm. Control sections of uninfected or healthy cells were not labelled. The results suggest that the nucleoplasm is the only site of accumulation of PYDV structural proteins.
SEMICONDUCTOR QUANTUM DOT LASERS AS PULSE SOURCES FOR HIGH BIT RATE DATA TRANSMISSION

Multi Populations Rate Equations (MPREs) model is used to analyze the dynamic characteristics of the InAs/InP (113) B self assembled quantum dot laser. The resulting system of difierentaial equations is solved using fourth-order Runge-Kutta method taking into consideration homogeneous and inhomogeneous broadening of optical gain. The efiects of the injected current, Full Width at Half Maximum (FWHM) of the homogenous broadening, and initial relaxation time (phonon bottleneck) on the rise time, fall time, and hence the maximum allowable bit rate of the optical signal are investigated.
Error Compensation of a Grinding Machine Tool Spindle by Optimization Design

Abstrak Dalam makalah ini, kesalahan radial dari spindle mesin gerinda CNC presisi tinggi yang diakibatkan oleh pengaruh gaya unbalance telah diamati. Poros spindle dianggap sebagai rotor fleksibel yang didukung oleh dua buah angular contact ball bearing. Metode elemen hingga (FEM) telah diadopsi untuk mendapatkan persamaan gerak spindle. Dalam studi ini, pertama, frekuensi natural, kecepatan kritis dan amplitudo respon unbalance ditentukan terlebih dahulu agar dapat diketahui bagaimana bentuk dari perilaku dinamiknya. Kemudian, teknik optimasi desain digunakan untuk meminimalkan perpindahan radial pada spindle yang melibatkan parameter seperti diameter poros, karakteristik dinamik bearing, kecepatan kritis dan amplitudo respon unbalance, selain itu juga untuk mendapatkan diameter poros, kekakuan serta redaman bearing yang seoptimal mungkin. Hasil simulasi numerik telah menunjukkan bahwa dengan mengoptimumkan diameter poros, kekakuan bearing dan redaman bearing, kesalahan radial dari spindle dapat dikurangi. Spindle dengan kesalahan radial sekitar 4µm dapat dikompensasi dengan kepresisian menjadi 2 µm . Kata kunci : kesalahan radial, metode elemen hingga, optimum desain, spindle gerinda presisi tinggi. Abstra ct In this paper, radial displacement error of a high precision spindle grinding caused by unbalance force was studied. The spindle shaft is considered as a flexible rotor supported by two pairs of angular contact ball bearing. The finite element method (FEM) have been adopted for obtaining the spindle equation motion. In this study, firstly, natural frequencies, critical frequencies and amplitude of unbalance response caused by residual unbalance are determined in order to investigate the spindle behaviors. Further more, an optimization design technique is conducted to minimize radial displacement of the spindle which considers shaft diameters, dynamic characteristics of the bearings, critical frequencies and amplitude of the unbalance response, and computes optimum spindle diameter and stiffness and damping of the bearings. Numerical simulation results show that by optimizing the shaft diameters, and stiffness and damping in the bearings, radial displacement of the spindle can be reduced. A spindle about 4 µm radial displacement error, can be compensated with 2 µm accuracy . Keywords : finite element method, high precision spindle grinding, optimization, radial displacement error.
Effect of Harvesting Method on Quality and Storability of Grapefruits

The effect of harvesting method on fruit quality and storability of the pink-fleshed 'Foster' grapefruits, at 18±1°C and 85%-90% r.h. , was evaluated. The traditional method, using a hooked pole, was compared with an improved technique, where the picking pole was equipped with a long cloth sleeve held open by a ring for collecting the harvested fruits. The fruits were stored for three months at 18±1°C and 85%-90% r.h. Fruit samples were taken at specific times for determination of fruit quality in terms of respiration rate, total soluble solids (TSS), water loss and titratable acidity. At the termination of the experiment, the fruits were evaluated for general quality. The results showed that the improved method significantly decreased respiration rate and water loss, delayed TSS accumulation and reduced titratable acidity, resulting in improved fruit quality, reduced post-harvest losses and extended shelf-life of fruits.
Familial aggregation of V̇O2max response to exercise training: results from the HERITAGE Family Study

[PDF] [Full Text] [Abstract] , November , 2013; 72 (11): 1819-1825. Ann Rheum Dis Nightingale, George D Kitas and Yiannis Koutedakis Antonios Stavropoulos-Kalinoglou, Giorgos S Metsios, Jet JJCS Veldhuijzen van Zanten, Peter and reduces cardiovascular risk in patients with rheumatoid arthritis Individualised aerobic and resistance exercise training improves cardiorespiratory fitness [PDF] [Full Text] [Abstract] , November 1, 2013; 115 (9): 1245-1253. J Appl Physiol Cathy C. Lee and Christian K. Roberts Daniel M. Croymans, Ergit Paparisto, Mary M. Lee, Nina Brandt, Brian K. Le, Derek Lohan, overweight/obese, sedentary young men -cell function in β Resistance training improves indices of muscle insulin sensitivity and [PDF] [Full Text] [Abstract] , November 1, 2013; 115 (9): 1343-1359. J Appl Physiol Bouchard and Tuomo Rankinen Sujoy Ghosh, Juan C. Vivar, Mark A. Sarzynski, Yun Ju Sung, James A. Timmons, Claude exercise training response to 2max Integrative pathway analysis of a genome-wide association study of V? o [PDF] [Full Text] [Abstract] , February 15, 2014; 306 (4): H557-H563. Am J Physiol Heart Circ Physiol Frank C. Mooren, Janika Viereck, Karsten Krüger and Thomas Thum Circulating micrornas as potential biomarkers of aerobic exercise capacity [PDF] [Full Text] [Abstract] , March 1, 2014; 46 (5): 149-158. Physiol. Genomics Johnson and Marco Pahor A. A. Dodson, Bret H. Goodpaster, Mary M. McDermott, Barbara J. Nicklas, Veronica Yank, Julie Thomas W. Buford, Fang-Chi Hsu, Tina E. Brinkley, Christy S. Carter, Timothy S. Church, John older adults Genetic influence on exercise-induced changes in physical function among mobility-limited
A Microelectrode-Cell Sensor Model for Real Time Monitoring

In this paper the application of a cell- microelectrode model to cell biometry experiments is proposed, using the cell-electrode area overlap as main parameter. The model can be applied to cell size identification, cell count, and their extension to cell growth and dosimetry protocols. Experimental results using AA8 cell line are presented, obtaining promising results.
Investigation of E-Health Acceptance Factor Case Study in Rural Area of Central Kalimantan

The E-Health is used to support information technology to maximize the tasks and medical services in the hospital. However, the hospitalâ? s management still have some issues due to E-Health implementation, particularly in the interaction with the system. This study identifies significant factors affecting the implementation of E-Health. Testing a model has been done, to identify factors affecting E-Health acceptance. Quantitative Research methods has been done is implemented in this research, by conducting a survey of 150 respondents on health practitioners in the District Hospital of Gunung Mas Province of Central Kalimantan. Random Sampling Method has been done is performed by doctors, nurses, medical record officers, and midwives. Meanwhile, model testing has been done with Structural Equation Model (SEM) analysis technique. The results of this study show that computer self-efficacy factor is the most powerful factor influencing user's opinion about perceived ease of use and perceived the usefulness of E-Health (significant p <0.05), followed by compatibility, top management support, information quality, system quality, facilitating condition, service quality, complexity, and adaptability. Hospital management needs to work together as a team effort to medical practitioners to apply E-Health in hospitals. Supports and awareness from various parties, such as government, IT support, and resources are expected to help implement E-Health in rural areas. The result of this study could be a decision in taking steps to implement E-Health in the future, in order to improve services of people in rural areas.
Wideband Balun Bandpass Filter Based on a Balanced Circuit

A novel wideband balun filter based on a symmetric four-port balanced circuit is proposed in this paper. A pair of open coupled lines is used to realize DC suppression and in-band balance improvement for the balun bandpass filter. The bandwidth can be easily adjusted by changing the characteristic impedance of transmission lines in the balanced circuit. For the proposed balun bandpass filter, excellent in-band balance performance (amplitude and phase imbalance are less than 0.25 dB and 1.3 ◦ respectively) over the passband are achieved. A wideband balun bandpass filter prototype with center frequency 3.75 GHz and 3-dB bandwidth 33.8% is designed and fabricated. Good agreement can be observed between the measured results and theoretical expectations.
SEMPER: A Stateless Traffic Engineering Solution based on MP-TCP for WAN networks

Current Enterprise Networks deployments must accomplish a strong set of requirements in terms of resiliency, reliability and resources usage. As current approaches are based on monolithic and expensive infrastructures built on dedicated overlay links, vendors are trying to move to economical hybrid solutions that encompasses private dedicated links with public/regular Internet connections. However, these usually rely on complex Traffic Engineering solutions hardware dependent or proprietary that are costly in terms of computational time and memory usage in the forwarding nodes. In this paper, we propose SEMPER: a lightweight traffic engineering (TE) solution based on MP-TCP which, in contrast to other TE solutions, moves the complexity to the endpoints of the connection, and relieves the forwarding elements from complex operations or maintaining state. As our evaluation shows, SEMPER efficiently makes use of all available paths between the endpoints while maintaining fairness, and properly adapts to variations on the available capacity.
Improvement on Measuring Optical Nonlinear Phase Shift by Self-Aligned Interferometer

The measuring mechanism of the self-aligned interferometer (SI) is analyzed in detail in the paper. The expression of nonlinear phase shift and its error expression are derived. The reasons of influencing on the measuring accuracy of the nonlinear phase shift are analyzed theoretically. The influences of the SI structure parameters on measuring the nonlinear phase shift are simulated and calculated. Properly selecting structure parameters in the SI, the optimal value and are obtained. A measuring system using the optimal structure parameters is set up. The measured nonlinear phase shift coincides with the theoretical value. When compared the measured with other testing values from reference [2], the deviation obtained in our experiment is smaller. The experimental results show that the measuring method with simulating and optimizing the structure parameters in the SI is effective and convenient. The measuring method improved will be applied widely in optical fiber communications and optical precise measurements.
Far Field Measurements of Phc Led Prepared by E–Beam Lithography

Abstract The paper deals with optical characterization of the Al0.295Ga0. 705As/GaAs multi-quantum well light emitting diode (LED) structure with photonic crystal (2D PhC) patterned on the top of the structure using Electron Beam Direct Write Lithography (EBDWL). Light-current characteristics measured by integrating sphere shows increase of extracted light intensity as 21.1%. Additionally, extracted light intensity was studied by far-field measurements as a complementary method to light-current characteristics. The far-field measurements show increase of extracted light intensity as 31.2%. We suggest this method as more suitable for evaluation of extracted light intensity because it omits emission from edges of the LED and thus light is measured only from the area where PhC is patterned
How Can Music Majors Increase Their Success in the Market for Over-the-Air Downloads?—The Case of Germany

Music majors, who have been suffering from dwindling revenues in their core business, are placing extraordinary hopes on the new market of over-the-air (OTA) downloads. However, until now there has been no broad academic discussion about this market. In particular, two central questions have not yet been addressed: (a) Which factors influence the success of music majors in the OTA-download market? , and (b) How can music majors increase their success in this market? To answer these questions, this study used a holistic research approach, which combines an economical and a sociological perspective. This study first identified the drivers for the success in the OTA-download market and analyzed these factors in 1 large-scale survey (n = 1,780) in Germany and a series of expert interviews. Subsequently, a mathematical Excel-based tool was constructed and data optimization techniques from operations research were applied to derive the optimal mix of strategic measures that maximizes the success of music majors in the German OTA-download market. Finally, recommendations for implementing these strategic measures are presented. This explorative study provides a systematic understanding of the general factors driving success in any OTA-download market. Therefore, there is hope that it will be relevant for both German and international scholars and managers.
Robots as New Tools in Therapy and Education for Children with Autism

Robots are increasingly considered as a promising tool in therapeutic and educational interventions for children with autism spectrum disorder (ASD). International literature indicates that robots can potentially be applied to a wide range of objectives. The aim of this article is to present an overview of robots that are currently used in therapy and educational for children with ASD and to indicate what objectives they address. Focus group sessions (N=9) with ASD professionals (N=53) from nine organisations were conducted which identified potential objectives for children with ASD. A systematic literature study delivered an overview of the state of the art of robots under study. Professionals reported to work on 74 ASD objectives in 9 different domains (based on the International Classification of Functioning - Child and Youth, ICF-CY). The robots (N=14) found in the literature addressed 24 of these objectives in 8 of the 9 domains, indicating the potential contribution of these robots to therapy and education of children with ASD. Domains that are targeted most often by robots currently are ‘social or interpersonal interactions and relations’, ‘play’ and ‘communication’. Results indicate that robot mediated interventions are considered to be a possible valuable tool in the education or therapy for children with autism. In order to unlock the potential of robots, it is advised that technical developers use knowledge from ASD practice so that meaningful applications can be developed.
STUDY AND PERFORMANCE ESTIMATION OF ROUTING PROTOCOLS MANET

A mobile ad hoc network consists of wireless hosts that may move often. Movement of hosts results in a change in routes, requiring some mechanism for determining new routes. Several routing protocols have already been proposed for ad hoc networks. In mobile communications, effective internetworking is mandatory in order to support user roaming among various types of wireless networks while maintaining connectivity. In this paper we have study and performance estimation of routing protocols AODV and DSR . Both share similar On-Demand behaviour, but the protocol‟s internal mechanism leads to significant performance difference. We have analysed the performance of protocols by varying network load, mobility and type of traffic (CBR and TCP). A detailed simulation has been carried out in NS2. The metrics used for performance analysis are Packet Delivery Fraction, Average end-to-end Delay, Routing Overhead and Normalized Routing Load. It has been observed that AODV gives better performance in CBR traffic and real time delivery of packet. Whereas DSR gives better results in TCP traffic and under restricted bandwidth condition.