Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF COMPETITION ABILITY AND MARKET SHARE FOR CONTAINER PORT

This study aims to develop an index system to evaluate container port competition ability, and to provide theoretical foundation for regional ports' integration. First we summarize the actual method for evaluating container port performance. Through a series of surveys on ports, clients, and forwarders as well as the logistics experts, we analyze and sort the factors affecting the container port competition ability. Basically, they are port scale, operation condition, facility condition, service level, and management system. Second, experienced shipping and port experts are chosen to score the factors, and with the survey results we determine weights of factors in each layer respectively. Then analytical hierarchy process (AHP) is applied to quantify the index system and work out the comprehensive score of each port. At last, based on this index system and the optimal path-searching algorithm we figure out each port's hinterland in the Bohai sea region in China.
Use of Covariance Analysis in Electroencephalogram Reveals Abnormalities in Parkinson’s Disease

Covariance analysis from wavelet data in electroencephalographic records (EEG) was, for the first time, applied in this study to unravel information contained in the standard EEG, which was previously not taken into consideration due to the mathematical models used. The methodology discussed here could be applied to any neurological condition, including the important early stages of neurodegenerative diseases. In this study, we analyzed EEG from control (CL) participants and participants with diagnosed Parkinson’s disease (PD), who were age-matched women in an eyes-closed resting state, to test the model. PD is predicted to rise over the next decades as the population ages. Furthermore, women are more likely to undergo PD-related complications and worse disability than men. Two groups based on age were considered: under and over 60 years (PD patients <60 and >60; CL <60 and >60). Continuous Wavelet Transform and Cross Wavelet Transform were applied to determine patterns of global wavelet curves, main frequencies, and power analyses. Our results indicate that both CL age groups and PD patients <60 share a main α brainwave and PD patients >60 showed a main δ brainwave. Interestingly, power anomalies analyses show a decreasing anteroposterior gradient in CL, whereas it is increasing in PD patients, which was not previously observed. The brainwave power in PD patients <60 was higher in θ, α and β waves and in >60 group, the δ, θ and β brainwaves were predominant. This methodology offers a tool to reveal abnormal electrical brain activity unseen by a regular EEG analysis. The advent of new models that process EEG, such as the model proposed in this study, promotes renewed interest in electrophysiology of the brain to study the early stages of PD and improve understanding of the origin and progress of the disease.
ENVIRONMENTALLY FRIENDLY SOLUTIONS FOR THE DISPOSAL OF CONCRETE WASH WATER FROM READY MIXED CONCRETE OPERATIONS

Disposal of waste water from Ready Mixed Concrete (RMC) operations is a great concern of the ready-mixed concrete producers. Most of the traditional disposal systems are no longer environmentally acceptable. Alternative solution is to recycle the waste water and use it as batch water to make fresh concrete. Research and the experience of the RMC industry indicate that the performance of concrete is not affected by the use of recycled water. Relatively new stabilizing admixtures also are being used to reduce wastes from batch plant operations.
Broadband beam steering for misaligned multi-mode OAM communication systems

Orbital angular momentum (OAM) at radio frequency (RF) has attracted more and more attention as a novel approach of multiplexing a set of orthogonal OAM modes on the same frequency channel to achieve high spectral efficiency (SE). However, the precondition for maintaining the orthogonality among different OAM modes is perfect alignment of the transmit and receive uniform circular arrays (UCAs), which is difficult to be satisfied in practical wireless communication scenario. Therefore, to achieve available multi-mode OAM broadband wireless communication, we first investigate the effect of oblique angles on the transmission performance of the multi-mode OAM broadband system in the non-parallel misalignment case. Then, we compare the UCA-based RF analog and baseband digital transceiver structures and corresponding beam steering schemes. Mathematical analysis and numerical simulations validate that the SE of the misaligned multi-mode OAM broadband system is quite low, while analog and digital beam steering both can significantly improve the SE of the system. However, digital beam steering can obtain higher SE than analog beam steering especially when the bandwidth and the number of array elements are large, which validates that baseband digital transceiver with digital beam steering is more suitable for multi-mode OAM broadband wireless communication systems in practice.
Influence of Temperature and Electrolyte Composition on the Performance of Lithium Metal Anodes

Lithium metal anodes have again attracted widespread attention due to the continuously growing demand of cells with higher energy density. However, the lithium deposition mechanism and the affecting process of influencing factors, such as temperature, cycling current density, and electrolyte composition are not fully understood and require further investigation. In this article, the behavior of lithium metal anode at different temperatures (25, 40, and 60 ∘C), lithium salts, electrolyte concentrations (1 and 2 M), and the applied cell current (equivalent to 0.5 C, 1 C, and 2 C). is investigated. Two different salts were evaluated: lithium bis(fluorosulfonyl)imide (LiFSI) and lithium bis(trifluoromethanesul-fonyl)imide (LiTFSI). The cells at a medium temperature (40 ∘C) show the highest Coulombic efficiency (CE). However, shorter cycle life is observed compared to the experiments at room temperature (25 ∘C). Regardless of electrolyte type and C-rate, the higher temperature of 60 ∘C provides the worst Coulombic efficiency and cycle life among those at the examined temperatures. A higher C-rate has a positive effect on the stability over the cycle life of the lithium cells. The best performance in terms of long cycle life and relatively good Coulombic efficiency is achieved by fast charging the cell with high concentration LiFSI in 1,2-dimethoxyethane (DME) electrolyte at a temperature of 25 ∘C. The cell has an average Coulombic efficiency of 0.987 over 223 cycles. In addition to galvanostatic experiments, Electrochemical Impedance Spectroscopy (EIS) measurements were performed to study the evolution of the interface under different conditions during cycling.
WBC / ICAR 2008 Satellite Meeting on Camelid Reproduction

A method for sexing Alpacas DNA has been developed using amplification of the SRY (Sex determining region Y-chromosome) gene. Oligonucleotide primers were designed according to the SRY gene partial sequence from Male Guanaco (Lama guanicoe). After electrophoresis, a normal male alpaca showed a single SRY band of 146 bp that did not appear in female alpaca samples. After optimization, the PCR procedure for sex diagnosis was applied to 10 DNA samples of alpaca. The sex as diagnosed by PCR corresponded with anatomical sex determination in all cases. This study demonstrates that the present method can be applied to the DNA samples sexing from Alpacas by PCR amplification SRY gene. Introduction Alpaca farmers are looking for increase the population of their herds, keeping the females permanently and selecting the best males for the breeding season. One male embryo of Alpaca can be more expensive than female, if is progeny of a recognized male winner of morphological contest. Therefore with sex identification of embryo the aggregate value increases if is male. The selective breeding for desirable characteristics can be easily diffused using males with high level of heritability of characteristics to their progeny. The control of the sex in the newborns can be applied using sexed semen in fertile females or transfer sexed embryos (Seidel, 2003). Limited information exists for a diagnostic technique that can be identified the sex of Alpacas DNA. Some studies have shown that molecular based methods can be used for identification of sex by amplification of specific segment of the sexual chromosome. The SRY gene which is only present in the Y chromosome (Koopman et al.,1990) was applied for sexing DNA samples of Llamas (Lama glama) (Drew et al., 1999). The aim of the present study is to adapt the same technique in Alpaca sexing.
Energy management system and supervision in a micro-grid using artificial neural network technique

Nowadays, the combination of conventional and renewable energy sources such as solar energy is one of the most widespread solutions to surmount the challenge of the climate and energy crisis. In the presence of random behavior of photovoltaic systems and variable power demand by consumers, energy management is a real challenge. In this paper, we propose a new energy management technique based on artificial neural networks in a smart grid. This will ensure the continuous supply of electricity to the consumer in the presence of random operation in energy consumption and generation. The global system is modeled and simulated under the MATLAB/Simulink tool.
Effects of plant extracts on biogenic amine accumulation, bacterial abundance and diversity in fermented sausage

ABSTRACT Biogenic amine (BA) is mostly produced through the decarboxylation of amino acids, the formation of BA (histamine, putrescine, cadaverine, and tyramine) was closely associated with microorganism. This study investigated the effects of tea polyphenol (TP), anise essential oil (AEO), cinnamon essential oil (CEO), and ginger essential oil (GEO) on the accumulation of four BAs and bacterial community in fermented (pork) sausage. Meanwhile, the pH and the residual nitrite content (added as preservative) were evaluated. The results revealed that the accumulation of nitrite and BA were significantly inhibited by TP and plant essential oils (PEO). Pediococcus and Staphylococcus were the dominant bacteria in all fermented sausage. The H2S-producing bacteria, Lactobacillus, Pseudomonas, Serratia, and Clostridium sensu stricto 1 was suppressed by TP and PEO. These results indicated that TP and PEO could improve the safety of fermented sausage by inhibiting spoilage bacterial growth and BA formation, and AEO showed the optimal inhibitory effect.
Testing Gibrat's Law on Software Companies in Croatia

According to Gibrat's law of proportionate effect, a company's growth rate is independent of its size at the start of the observation period. The main purpose of this paper is to test the validity of this assumption in the case of Croatian companies that offer the services of software consultancy and supply (NKD 2002; 72.2). In order to examine the validity of Gibrat’s law for the constant sample of all surviving companies, we used the quantile regression method. For all analysed periods, our results show that a company's growth is independent of its size. 800x600 800x600 Normal 0 21 false false false HR X-NONE X-NONE MicrosoftInternetExplorer4 Normal 0 21 false false false HR X-NONE X-NONE MicrosoftInternetExplorer4
Online ondersteuning door middel van automatisch geselecteerde medestudenten

Van Rosmalen, P., Sloep, P. B. , & Brouns, F. (2008). Online ondersteuning door middel van automatisch geselecteerde medestudenten. In W. Jochems, P. den Brok, T. Bergen & M. van Eijck (Eds.), Licht op Leren - Proceedings van de 35e Onderwijs Research Dagen (pp. 164-166). June, 18-20, 2008, Eindhoven, The Netherlands.
The Treatment of Low-Level Radioactive Wastewater by the Nuclear Weapons Using Ultrasonic Standing Wave Methods

The radiation hazards of radionuclide arising from the storage of nuclear weapons can not be ignored to the operators. Ultrasonic standing wave methods can be considered as the green cleaning separation techniques with high efficiency, and it allows the elimination of many chemical flocculants to reduce radioactive contamination. The application of ultrasonic standing wave methods for liquid radioactive wastes treatment requires solving many problems connected with the proper selection of the frequency and power of ultrasonic transducers, and the processing time, etc. Based on the model of one single suspended radioactive particle subjected to in the field of ultrasonic standing wave, the principle of the treatment of low-level radioactive wastewater by ultrasound was analyzed. The mathematic equation representing the change of the number of the suspended particles was built and calculated. The theoretical results show that under the action of ultrasonic standing wave, the particle will move toward the wave node plane, and the time of particle reaching the plane become shorter when the radius particle and the frequency and power of ultrasound was enlarged. The experimental apparatus for liquid low-level radioactive wastes treatment was designed according to the results of theoretical analysis. The experimental results show that the radioactive concentration of wastewater could be reduced from 400Bq · L−1 to 9.3Bq · L−1 and the decontamination efficiency was 97.68%. The decontamination efficiency could not be obviously improved by further increasing the treating time.Copyright © 2014 by ASME
A Pathological Pelagic Eagle Ray (Myliobatiformes: Aetobatidae) Tooth Plate from the Neogene of Calvert Cliffs, Maryland, U.S.A.

STEPHEN J. GODFREY,* MICHAEL SCOTT VERDIN, and JOHN MAISEY Department of Paleontology, Calvert Marine Museum, P.O. Box 97, Solomons, MD 20688, U.S.A. , Stephen.Godfrey@ calvertcountymd.gov; Research Associate, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution,Washington, DC, 20013-7012, U.S.A. ; 3403Willow St., Chesapeake Beach, MD 20732Maryland, U.S.A. , thebeanpole65@ yahoo.com; Department of Vertebrate Paleontology, American Museum of Natural History, 200 Central Park West, New York, NY 10024, U.S.A. maisey@amnh.org
Design of a Novel Aerodynamically Efficient Motorcycle

Recently a novel aerodynamically efficient motorcycle known as the ECOSS E Spirit (ES1) was designed and patented [1]. Initial computational fluid dynamics (CFD) analy sis estimates the ES1’s drag-area coefficient at 0.16m 2 - a 54% improvement over a conventional sports machine (such as the Yamaha R1), which translates into a 30% increase in top speed for a given fixed engine power. Or alternatively, 170bhp performance with a 78bhp engine; see Figure 1. Since the initial design of the ES1 was approached from an aerodynamic perspective, Imperial College London has been working with Spirit Motorcycle Technology on improving the overall dynamics and performance of the vehicle. This paper addresses the parameters that affect the lateral dynamics of the vehicle, which is one of the many aspects in motorcycle design.
Research on Dynamic Route Guidance for an Emergency Vehicle Considering the Intersection Delay

For the purpose of assisting emergency vehicles to move, the key is to put forward the application of Vehicle Operation Agent and Road Agent in sections to complete the dynamic route guidance process for an emergency vehicle combined with improved-Dijkstra algorithm. At last, by using Starlogo software and Matlab together, the paper completes the simulation of the emergency vehicle guidance process, to prove the effectiveness of the method.
Flexible fractional K-best sphere decoding for uncoded MIMO channels

In K-best sphere decoding algorithm (KB), the number of survivor paths K, can be integer values in all tree levels. A certain complexity is provided for each value of K. In this letter, a variant of the K-best sphere decoding algorithm for uncoded MIMO channels is proposed, namely, flexible fractional K-best algorithm (FFKB). The FFKB provides a degree of freedom in complexity in-between the discreet complexities of the traditional KB. Through the offline calculations, the FFKB determines the best operation mode for KB relative to the hardware capability from the complexity point of view.
Identifying Symmetric-Key Algorithms Using CNN in Intel Processor Trace

Malware and ransomware are often encrypted to protect their own code, making it challenging to apply reverse engineering to analyze them. Recently, various studies have been underway to identify cryptography algorithms in malware or ransomware that use anti-reversing technology via deep-learning technology. In particular, CNNs (convolution neural networks) are deep-learning algorithms with superior performance, as compared to existing machine-learning algorithms in image classification. In the cases of malicious files to which anti-debugging techniques or anti-DBI (dynamic binary instrumentation) techniques are applied, if the traces are extracted using various debuggers or DBI, the traces are cut off due to these techniques. The IPT (Intel processor trace) has the advantage of extracting an accurate trace of a program by bypassing the anti-debugging or anti-DBI technique. This paper presents a novel method by which to identify the symmetric-key algorithms by applying a CNN to the traces extracted from the IPT. The IPT minimally interrupts software execution. First, the trace encrypted by the symmetric-key algorithms is extracted using the IPT. Then it is converted into an image to be an input into the CNN. The experiments were carried out with two different datasets. The first dataset contained traces extracted by different types of symmetric-key algorithms, and the training results were classified into nine classes with 100% accuracy. The second dataset contained traces that included the various bit sizes of the security keys and the block-cipher modes for each type of symmetric-key algorithm. Training results were classified into 36 classes with an accuracy of 70.55%. While previous studies have identified the types of encryption algorithms, this study employed a CNN to identify the number of key bits and the block-cipher modes as well.
Dark signalling and code division multiple access in an optical fibre LAN with a bus topology

This thesis describes an optical fibre network that uses a bus topology and Code Division Multiple Access (CDMA). Various potential configurations are analysed and compared and it is shown that a serious limitation of optical CDMA schemes using incoherent correlators is the effect of optical beating due to the presence of multiple incoherent optical signals at the receiver photodiode. The network proposed and analysed in this thesis avoids beating between multiple optical fields because it only uses a single, shared, optical source. It does this through the SLIM (Single Light-source with In-line Modulation) configuration in which there is a continuously-operating light source at the head-end of a folded bus, and modulators at the nodes to impose signals on the optical field in the form of pulses of darkness which propagate along the otherwise continuously bright bus. Optical CDMA can use optical-fibre delay-line correlators as matched filters, and these may be operated either coherently or incoherently.Coherent operation is significantly more complex than incoherent operation, but incoherent correlators introduce further beating even in a SLIM network. A new design of optical delay-line correlator, the hybrid correlator, is therefore proposed, analysed and demonstrated. It is shown to eliminate beating. A model of a complete network predicts that a SLIMbus using optical CDMA with hybrid correlators can be operated at TeraBaud rates with the number of simultaneous users limited by multiple access interference (MAI), determined only by the combinatorics of the code set.
Can women dynasty politicians disrupt social norms of political leadership? A proposed typology of normative change

Social norms that legitimise men as political leaders, and undervalue women’s leadership, are a tenacious barrier to women’s representation globally. This article explores the circumstances under which women dynasty politicians, whose legacy connections have provided them with an initial pathway into politics, are able to disrupt these norms. We test a proposed typology of normative change – one that progresses from norm acceptance, to norm modification, then norm resistance – among women dynasty politicians in the Pacific Islands. We find that norms of masculinised political leadership are strong, and in many cases the election of wives, widows, daughters and other relatives of male political actors reinforces these norms through their positioning as ‘placeholders’. Yet some women dynasty politicians can, and do, challenge and extend social norms of leadership. This is especially the case when the ‘legacy advantage’ is a springboard from which women demonstrate – and their publics accept – their own articulation of political leadership.
Managing Employee Retention in Mergers and Acquisitions: A Systematic Review

Start-ups are companies that focus on problem solving through innovation. Mergers and acquisitions (M&A) are one of the development methods used to achieve growth. People who work in start-ups do so because they want to be part of a business that is entrepreneurial. When this is acquired, it may conflict with the preferences held. The purpose of this article is to assess the efficacy of start-up acquisition as a strategy, the relationship between psychological ownership and employee retention, and the human resource model for the integration stage in the context of M&A transactions. This systematic review demonstrates that each chosen recruitment strategy has its own set of challenges, requiring each organization to assess its own strengths and weaknesses. Psychological ownership is positively related to employee retention in the company which is obtained through direct and mediating effects of employee commitment and involvement. The integration stage as the most complex stage and determines the success of mergers and acquisitions needs attention for organizations engaged in the start-up sector.
Optimal Road Side Units Placement Model Based on Binary Integer Programming for Efficient Traffic Information Advertisement and Discovery in Vehicular Environment

Road side units (RSUs) are considered to be one of the most important components in vehicular networks to send and receive data from other components inside the networks. Regarding the fact that vehicular network performance and vehicular environment coverage are highly related, the maximum coverage via RSUs improves the efficiency of vehicular networks. However, because of high costs of RSU placement, it would be impossible to have full coverage through RSUs. Hence, it would be necessary to optimally install a limited number of RSUs in the most appropriate locations. In this article, the problem of RSU placement is formulated to binary integer programming. The objective of the present study is to find locations which have higher impacts on efficiency of vehicular networks. The objective function is minimising the costs of RSU placement. Moreover, coverage of the most important locations by RSUs has been applied in the form of optimization constraints. The performance of the given mechanism has been assessed by real traces. Simulation results indicate that the method is able to find optimal locations of RSUs in highway and urban environments. Furthermore, the results show that by optimal RSU placement inside the environment, the performance of vehicular network is improved.