Miracle-dz/UniFAR-FTUs huggingface dataset:
A General Framework of Brain-Computer Interface with Visualization and Virtual Reality Feedback

The concept of Brain-Computer Interface (BCI) has emerged over the last three decades as a promising alternative to the existing interface methods. However the BCI framework generally spoken only emphasizes on the aspects of BCI signal processing, lacking of the function of Visualization and Virtual Reality (VR) feedback. This paper designs a general and extendable framework which has the ability of offline, online analysis, visualization, and VR feedback. For the researchers, they can use it to analyze the online EEG signals, and observe the dynamic brain information of subjects. Meanwhile, the researchers can also do the offline analysis. For subjects, VR technology can provide a more secure and realistic environment for training and tuning neutrally controlled interfaces to real-world devices, such as wheelchairs. At last, the methods and algorithms used in the framework are also described.
Collective Motion of Spherical Bacteria

A large variety of motile bacterial species exhibit collective motions while inhabiting liquids or colonizing surfaces. These collective motions are often characterized by coherent dynamic clusters, where hundreds of cells move in correlated whirls and jets. Previously, all species that were known to form such motion had a rod-shaped structure, which enhances the order through steric and hydrodynamic interactions. Here we show that the spherical motile bacteria Serratia marcescens exhibit robust collective dynamics and correlated coherent motion while grown in suspensions. As cells migrate to the upper surface of a drop, they form a monolayer, and move collectively in whirls and jets. At all concentrations, the distribution of the bacterial speed was approximately Rayleigh with an average that depends on concentration in a non-monotonic way. Other dynamical parameters such as vorticity and correlation functions are also analyzed and compared to rod-shaped bacteria from the same strain. Our results demonstrate that self-propelled spherical objects do form complex ordered collective motion. This opens a door for a new perspective on the role of cell aspect ratio and alignment of cells with regards to collective motion in nature.
Practice of manufacturing strategy: Evidence from select Indian automobile companies

This paper presents findings based on an extensive survey of Indian automobile companies. Five companies have been selected for detailed case studies. Their experiences in the manufacturing strategy process are analysed. Although the companies represented a diversity in terms of sales volume, product range and geographic location, they shared several commonalties including use of advanced manufacturing technologies and other improvement activities. Competitive strength was sustained through quality, innovation and delivery. The process of strategy formulation varied among the companies in terms of participants, complexity and degree of formalization, the practice of each company is different. The process of manufacturing strategy formulation seems to be in line with corporate strategy, though the companies followed a traditional top down approach in formulation of manufacturing strategy under the umbrella of corporate strategy. A taxonomy is proposed using cluster analysis where the companies are classified in four strategic manufacturing groups: reactive enterprise, neutral enterprise, active enterprise and proactive enterprises. Competitive priorities, order winners and critical success factors are identified for these companies after rigorous discussions with the managers. Based on strategic manufacturing issues, the manufacturing competence index for the companies has been worked out. A framework for manufacturing strategy is also proposed based on experiences of the case companies.
Alterations in Vascular Smooth Muscle Mass in the Spontaneously Hypertensive Rat: Role of Cellular Hypertrophy, Hyperploidy, and Hyperplasia

In a previous brief report we demonstrated that differences in aortic smooth muscle mass between spontaneously hypertensive and Wistar-Kyoto rats were due to smooth muscle cell hypertrophy, without hyperplasia. Smooth muscle cell hypertrophy, however, was accompanied by an increase in the frequency of polyploid cells. This study reports (1) the relationship between changes in smooth muscle cell mass and DNA ploidy, (2) the proportion of the increase in mass of smooth muscle in spontaneously hypertensive rats that can be accounted for by polyploid cells, and (3) the time-course of changes in ploidy during the development of hypertension. Flow microfluorimetric and Feulgen-DNA microspectrophotometric measurements demonstrated that the frequency of polyploid smooth muscle cells was 2–3 times greater in spontaneously hypertensive rats than in Wistar-Kyoto rats at 3 months of age and older. The frequency of polyploid cells increased with age and level of blood pressure. No differences in the frequency of polyploid cells were apparent between prehypertensive 1-month spontaneously hypertensive and Wistar-Kyoto rats. By cytospectrophotometric analysis, spontaneously hypertensive rat diploid, tetraploid, and octaploid smooth muscle cells had 36%, 136%, and 377%, respectively, the protein content of Wistar-Kyoto rat diploid cells. The increase in mean cellular protein (53% by cystospectrophotometry) in spontaneously hypertensive rats could account for the total increase (56%) in aortic smooth muscle mass, measured by morphometry. Thus, smooth muscle cell hypertrophy alone can account for the increased mass of smooth muscle in spontaneously hypertensive rat aortas, while the majority of change in smooth muscle mass is due to the increased frequency and mass of polyploid cells.
Statistical and System Transfer Function Based Method For Jitter and Noise In Communication Design and Test

As the communication speed/data rate approaches 1 Gb/s and beyond, timing jitter and amplitude noise become the major limiting factors for system performance. Traditional methods used in simulating, analyzing, modeling, and quantifying jitter and noise in terms of peak-to-peak and/or rms becomes no longer accurate and sufficient. As such, new methods with better accuracy and comprehension are called for. In this paper, we will first illustrate shortfalls of using simple parametric based method such as peak-to-peak or rms in quantifying jitter and noise. We then will discuss new jitter and noise modeling and analysis methods for both design and test based on statistical signal theory invoking probability density function (pdf) and cumulative distribution function (cdf) and the corresponding component distributions of deterministic and random to quantify jitter, noise, and Bit Error Rate (BER) for communication systems. Thirdly, we will introduce jitter and noise transfer functions and their important roles-played in estimating relevant jitter, noise, and BER in the system. Fourthly, we will introduce and illustrate how those methods can be used in designing and testing > 1 Gb/s communication systems, such as Fibre Channel (FC), Giga Bit Ethernet (GBE), and PCI Express. Dr. Mike Li is currently the Chief Technology Officer (CTO) with Wavecrest. Dr. Li pioneered jitter separation method (Tailfit) and DJ, RJ, and TJ concept and theory formation. He has involved in setting and contributed to standards for jitter, noise, and signal integrity for leading serial data communications, such as Fibre Channel, Gigabit Ethernet, Serial ATA, and PCI Express. Currently he is Co-Chairman for PCI Express jitter standard committee. Dr. Li has more than 10 years experiences in high-speed related measurement instrumentation, testing, and analysis/modeling algorithms/tools, with applications in IC, microprocessor, clock, serial data communications for both electrical and optical, and wireless communication. Prior joining Wavecrest, Dr. Li had worked in both industry and academic institution. Dr. Li is experienced in measurement system and Automated Test Equipment (ATE) architectures, hardware, software, performance, and accuracy. He has a BS in physics from University of Science and Technology of China, a MSE in electrical engineering and a Ph.D. in physics from University of Alabama in Huntsville. He did his Post Dr. at University of California, Berkeley and worked there as a research scientist on high-energy astrophysics before he joined industry. Dr Li has published more than 40 papers in refereed technical journals, holds one patent and has four patents pending. …
Association for Computing Machinery the Ibm Type 702 an Electronic Data Processing Machine for Business*

The main features of the IBM Electronic Data Processing Machine, Type 702, are discussed from the program-roar's point of view to illustrate how it was designed specifically to solve large accounting and statistical problems in business , industry, and government. The 702 exploits in one integrated system the high speed and storage capacity of magnetic tape, the 'accessibility of electrostatic memory supplemented by large auxiliary storage on magnetic drums, the flexibility of punched-card document input, the page printing output of modern accounting machines , and the technology of general-purpose , stored-program, electronic computer s. The 702 is a serial machine with decimal arithmetic. Its serial nature provides several unusual logical features of great aid in programming accounting problems.
Photon Spin, Zero-point Energy and Black-body radiation

A critical review of the obscure nature of the contribution of spin energy to the energy of the electromagnetic field is presented. It is proposed that the total energy of photon h\nu comprises of kinetic and spin parts each equal to h\nu/2. Classical magnetic field is reinterpreted as angular momentum flux of photon fluid. The black-body radiation law is revisited in the light of new significance of the zero-point energy proposed here.
Mac Malware Detection via Static File Structure Analysis

It is widely acknowledged in the security community that the current signature-based approach to virus detection is no longer adequate. More recently, antivirus software has been doing dynamic malicious behavior detection. While this is more effective, it is computationally expensive, so they cannot do very much of it or the performance of the user’s computer will suffer. Static executable analysis offers a possible solution to the problems of dynamic analysis. Static analysis looks at the structures within the executable that are necessary in order for it to run. Since these structures are mandated by the file type, they cannot be removed, encrypted (although their code contents may be), or obfuscated easily. Also, because it simply involves parsing structures, it is much less computationally expensive than dynamic analysis. Some research has already been done into static executable analysis for Windows portable executable (PE) files. Although Mac malware (the general term for malicious software) is not nearly as prolific as those for Windows, the number is steadily increasing as Macs gain a greater market share. Kaspersky has seen the amount of Mac malware double in the last two years, and increase by a factor of ten in the last four years [10], yielding an exponential increase curve. Of particular note, the last 4 or 5 years has seen a number of advanced persistent threat (APT) malware campaigns targeted specifically at Macs. Researching tools to face these threats now ensures that we will be able to better handle the increasing threat in the future. II. Dataset Malware samples were gathered from open research sites like Contagio[8] and VirusTotal[9]. Benign Mach-O files (for comparison) were gathered from OS X Mavericks and opensource programs for OS X. The samples themselves are Mach-O binary executable files. This is the format of choice for OS X programs, though there are one or two other formats used in older systems. For legal reasons, opensource malware repositories are hard to find, so increasing the malware samples by any substantial amount beyond this is difficult. The current data set consists of 420 malware samples and 1000 goodware (benign programs) samples. This data was randomly divided into a training set (roughly 75%) and a testing set (roughly 25%). By number, the samples are divided as follows:
Performance Analysis on Packet Delivery Ratio and End-to-End Delay of Different Network Topologies in Wireless Sensor Networks (WSNs)

Wireless sensor networks (WSNs) are receiving more popularity in mission critical and delay sensitive industrial applications because they offer low latency and reliable message transmission. In applications like gas leakage detection, monitoring of pressure and industrial process control etc. reliable communication between sink and the sensing nodes is very important. In wireless sensor networks sensing nodes are placed very densely in different environments and mostly with no defined network topology. In industrial setup, the placement of the sensing nodes plays a very important role, most importantly it increases overall system throughput by efficiently transmitting the calibrated readings and providing maximum security to the industrial devices. In this paper we aim to investigate, how different topological settings effects packet delivery ratio (PDR) and End-to-End delay in wireless sensor networks? This paper also focuses on the performance study of three different network topological settings for mission critical applications. We evaluated the performance of wireless sensor network (WSN) by placing the sensor nodes in three different topological designs namely Linear, Tier one and Split Tier one.
Minimal Infrastructure Support for Teams

Building a group of agents which can work effectively as a team is more than just merely putting individual agents together. Agents working in a team require the abilities to plan, communicate and coordinate with one another. Furthermore, systems in which agents are simply equipped with precomputed coordination plans will fail to work in complex, dynamic environments. Thus it is extremely difficult to design and build a system of collaborative agents from the scratch. This thesis describes MIST, a SharedPlans framework for team-based applications. MIST is based on SharedPlans but is further extended to deal with computational issues which are not directly addressed by SharedPlans. MIST is also striving towards a flexible, general framework which could reduce the implementation effort of developing practical applications.
The FIRST-Optical-VLA Survey for Lensed Radio Lobes

We present results from a survey for gravitationally lensed radio lobes. Lensed lobes are a potentially richer source of information about galaxy mass distributions than lensed point sources, which have been the exclusive focus of other recent surveys. Our approach is to identify radio lobes in the Faint Images of the Radio Sky at Twenty cm (FIRST) catalog and then search optical catalogs for coincident foreground galaxies, which are candidate lensing galaxies. We then obtain higher resolution images of these targets at both optical and radio wavelengths and obtain optical spectra for the most promising candidates. We present maps of several radio lobes that are nearly coincident with galaxies. We have not found any new and unambiguous cases of gravitational lensing. One radio lobe in particular, FOV J0743+1553, has two hot spots that could be multiple images produced by a z = 0.19 spiral galaxy, but the lensing interpretation is problematic.
Real-time monitoring of cisplatin cytotoxicity on three-dimensional spheroid tumor cells

Three-dimensional (3D) cell cultivation is a powerful technique for monitoring and understanding diverse cellular mechanisms in developmental cancer and neuronal biology, tissue engineering, and drug development. 3D systems could relate better to in vivo models than two-dimensional (2D) cultures. Several factors, such as cell type, survival rate, proliferation rate, and gene and protein expression patterns, determine whether a particular cell line can be adapted to a 3D system. The 3D system may overcome some of the limitations of 2D cultures in terms of cell–cell communication and cell networks, which are essential for understanding differentiation, structural organization, shape, and extended connections with other cells or organs. Here, the effect of the anticancer drug cisplatin, also known as cis-diamminedichloroplatinum (II) or CDDP, on adenosine triphosphate (ATP) generation was investigated using 3D spheroid-forming cells and real-time monitoring for 7 days. First, 12 cell lines were screened for their ability to form 3D spheroids: prostate (DU145), testis (F9), embryonic fibroblast (NIH-3T3), muscle (C2C12), embryonic kidney (293T), neuroblastoma (SH-SY5Y), adenocarcinomic alveolar basal epithelial cell (A549), cervical cancer (HeLa), HeLa contaminant (HEp2), pituitary epithelial-like cell (GH3), embryonic cell (PA317), and osteosarcoma (U-2OS) cells. Of these, eight cell lines were selected: NIH-3T3, C2C12, 293T, SH-SY5Y, A549, HeLa, PA317, and U-2OS; and five underwent real-time monitoring of CDDP cytotoxicity: HeLa, A549, 293T, SH-SY5Y, and U-2OS. ATP generation was blocked 1 day after addition of 50 μM CDDP, but cytotoxicity in HeLa, A549, SH-SY5Y, and U-2OS cells could be visualized only 4 days after treatment. In 293T cells, CDDP failed to kill entirely the culture and ATP generation was only partially blocked after 1 day. This suggests potential CDDP resistance of 293T cells or metabolic clearance of the drug. Real-time monitoring and ATP measurements directly confirmed the cytotoxicity of CDDP, indicating that CDDP may interfere with mitochondrial activity.
Absence of Sensory Neurons before Target Innervation in Brain-Derived Neurotrophic Factor-, Neurotrophin 3-, and TrkC-Deficient Embryonic Mice

Gene-targeting experiments of Trk receptors and neurotrophins has confirmed the expectation that embryonic sensory and sympathetic neurons require neurotrophin function for survival. They have further revealed correlation between a specific neurotrophin requirement and eventual sensory modality. We have analyzed embryonic and neonatal mice with mutations in the BDNF, neurotrophin 3 (NT-3), and TrkC genes. Our data confirm an unexpectedly high proportion of sensory neuron losses in NT-3 (>70%), BDNF (>20%), and TrkC (>30%) mutants, which encompass populations thought to be NGF-dependent. Direct comparison of TrkC and NT-3 mutants indicates that only a subset of the NT-3-dependent neurons also requires TrkC. The observed losses in our TrkC mutant, which is null for all proteins encoded by the gene, are more severe than those previously reported for the kinase-negative TrkC mutation, implicating additional and important functions for the truncated receptors. Our data further indicate that mature NGF-requiring neurons undergo precocious and transitory requirements for NT-3 and/or BDNF. We suggest that neurotrophins may function in creating early heterogeneity that would enable ganglia to compensate for diverse modality requirements before the period of naturally occurring death.
Integrating Alternative Educational Pathways: Challenges and Issues.

the paper examines the issue of educational pathways, including a brief overview of the higher education regulatory framework and market forces in australia, particularly as recent policy reforms and political aspirations affect them. it highlights the key challenges and outlines a potential model for integrating vocational and higher educational pathways. negotiating with internal and external stakeholders, position power, market and financial analysis may be the most successful levers in this change process. Three market research studies targeting prospective students, parents of prospective students, and the general resident population in Sydney provide evidence of prospective consumers’ intention, motivation, and reaction to the proposed model.
DESEMPENHO E CARREIRA: PRODUÇÃO ACADÊMICA BRASILEIRA EM ADMINISTRAÇÃO NO PERÍODO DE 2000 A 2010

O objetivo desse artigo focou-se em pesquisar a producao academica sobre carreira e desempenho, a fim de identificar como as ideias sao desenvolvidas e quais relacoes podem ser observadas entre estas categorias de estudo nas publicacoes representativas da area. A proposicao inicial consistia na suposicao de que os temas desempenho e carreira se correlacionariam nas publicacoes academicas, na medida em que a gestao do desempenho se configurasse como elemento balizador para a sustentacao da carreira. Foram investigados 87 artigos sobre carreira e 411 sobre desempenho, publicados no Enanpad e em revistas especializadas durante o periodo de 2000 a 2010. A analise qualitativo-exploratoria dos artigos foi realizada a partir de criterios de selecao da amostra dos artigos, criterios para analise de frequencia dos conteudos e questoes norteadoras para analise qualitativa dos conteudos em desempenho e carreira presentes na amostra estudada. Duas constatacoes foram observadas nesta investigacao: (a) que os temas desempenho e carreira se correlacionaram com tematicas diversas entre si e (b) que as analises realizadas pelos pesquisadores contemplaram diferentes niveis de pesquisa (individual, coletivo ou organizacional). A analise destes dados traz como principal contribuicao a reflexao acerca da falta de integracao das tematicas nas pesquisas desenvolvidas e seus possiveis desdobramentos na producao academica em Administracao no Brasil.
On Simultaneous Identification of the Shape and Generalized Impedance Boundary Condition in Obstacle Scattering

We consider the inverse obstacle scattering problem of determining both the shape and the “equivalent impedance” from far field measurements at a fixed frequency. In this work, the surface impedance is represented by a second order surface differential operator (referred to as generalized impedance boundary condition) as opposed to a scalar function. The generalized impedance boundary condition can be seen as a more accurate model for effective impedances and is widely used in the scattering problem for thin coatings. Our approach is based on a least square optimization technique. A major part of our analysis is to characterize the derivative of the cost function with respect to the boundary and this complex surface impedance configuration. In particular, we provide an extension of the notion of shape derivative to the case where the involved impedance parameters do not need to be surface traces of given functions, which leads (in general) to a nonvanishing tangential boundary perturbation. The efficiency.
Robust and Probabilistic Power-aware Scheduling of Wireless Sensor Networks

In this paper, we investigate randomly deployed wireless sensor networks with decaying footprints, akin tothose of RFor radar-based sensors, and relate the performance of a sensor to its available power. More importantly, to compens ate for the effects of decrease in available power, we propose probabilistic scheduling controllers that maintain a desi red probability of event detection for any power-decay model wi th no a-priori knowledge of the model itself. In addition to maintaining desired event detection probability, the proposed scheme is robust to node failures and adaptively adjusts the control parameter in the case of the failure of nodes to maintain desired performance. Furthermore, the scheme is completely decentralized since it requires neither any glo bal information nor any local communication for computing the control parameter at any time.