Coherently controlled entanglement generation in a binary Bose-Einstein condensate

Considering a two-component Bose-Einstein condensate in a double-well potential, a method to generate a Bell state consisting of two spatially separated condensates is suggested. For repulsive interactions, the required tunnelling control is achieved numerically by varying the amplitude of a sinusoidal potential difference between the wells. Both numerical and analytical calculations reveal the emergence of a highly entangled mesoscopic state.Comment: 6 pages, 6 figures, epl2.cl

SigMate: a MATLAB-based automated tool for extracellular neuronal signal processing and analysis

Rapid advances in neuronal probe technology for multisite recording of brain activity have posed a significant challenge to neuroscientists for processing and analyzing the recorded signals. To be able to infer meaningful conclusions quickly and accurately from large datasets, automated and sophisticated signal processing and analysis tools are required. This paper presents a Matlab-based novel tool, “SigMate”, incorporating standard methods to analyze spikes and EEG signals, and in-house solutions for local field potentials (LFPs) analysis. Available modules at present are – 1. In-house developed algorithms for: data display (2D and 3D), file operations (file splitting, file concatenation, and file column rearranging), baseline correction, slow stimulus artifact removal, noise characterization and signal quality assessment, current source density (CSD) analysis, latency estimation from LFPs and CSDs, determination of cortical layer activation order using LFPs and CSDs, and single LFP clustering; 2. Existing modules: spike detection, sorting and spike train analysis, and EEG signal analysis. SigMate has the flexibility of analyzing multichannel signals as well as signals from multiple recording sources. The in-house developed tools for LFP analysis have been extensively tested with signals recorded using standard extracellular recording electrode, and planar and implantable multi transistor array (MTA) based neural probes. SigMate will be disseminated shortly to the neuroscience community under the open-source GNU-General Public License

Quantum Chaos in the Bose-Hubbard model

We present a numerical study of the spectral properties of the 1D Bose-Hubbard model. Unlike the 1D Hubbard model for fermions, this system is found to be non-integrable, and exhibits Wigner-Dyson spectral statistics under suitable conditions.Comment: 4 pages, 4 figure

Simulasi Pelepasan Beban Dengan Relayfrequency Pada Sistem Tenaga Listrik Cnooc Ses Ltd.north Business Unit Menggunakan Software Etap 7.5

Adanya gangguan pada sistem tenaga listrik dapat memicu ketidakstabilan frekuensi sistem. Tugas Akhir ini membahas tentang skema pelepasan beban menggunakan rele frekuensi pada sistem tenaga listrik CNOOC SES Ltd. North Business Unit yang mempunyai pembangkit listrik tenaga gas. Metode yang digunakan untuk simulasi transien analisis adalah perangkat lunak ETAP 7.5. Pelepasan beban dapat memulihkan frekuensi dengan cepat dan jumlah beban yang dilepaskan seminimal mungkin. Oleh sebab itu diperlukan seting waktu tunda rele, frekuensi kerja dan besar beban yang dilepaskan. Dari simulasi menggunakan rele frekuensi dapat mencegah penurunan frekuensi dan mengembalikan ke kondisi normal

Karakteristik Dan Akar Masalah Kemiskinan Kasus Pada 4 Tipologi Desa Di Kabupaten Sumbawa

This research meant to dig and comprehends indicators distinguishing characteristic and poorness problem root in Sumbawa regency. Because of research region broadness, hence research subject is determined in purposive by four countrysides assessed representation able to in geographical typology complete and characteristic countryside public and also level of poorness of resident Sumbawa regency in general. As for fourth of countryside typology is rural area, mountain area, coastal area, and sub urban area. Analyzer applied to comprehend characteristic and poorness problem root of the countryside public, that is using analysis Method Participative Poorness, which developed with method Root Cause Analysis (RCA). This method applied to comprehend characteristic and poorness problem root in each countryside typology. The result of data analysis in general inferential that the poorness characteristic in each countryside typology actually not solely determined by region typology, because at most all countryside typologies there is poor resident amounts which relative still big. This condition altogether determined by economic indicators as factor that is very influences level of prosperity/ poorness of countryside public

An automated classification method for single sweep local field potentials recorded from rat barrel cortex under mechanical whisker stimulation

Understanding brain signals as an outcome of brain’s information processing is a challenge for the neuroscience and neuroengineering community. Rodents sense and explore the environment through whisking. The local field potentials (LFPs) recorded from the barrel 28 columns of the rat somatosensory cortex (S1) during whisking provide information about the tactile information processing pathway. Particularly when using large-scale high-resolution neuronal probes, during each experiment many single LFPs are recorded as an outcome of underlying neuronal network activation and averaged to extract information. However, single LFP signals are frequently very different from each other and extracting information provided by their shape is a useful way to better decode information transmitted by the network. In this work, we propose an automated method capable of classifying these signals based on their shapes. We used template matching approach to recognize single LFPs and extracted the contour information from the recognized signal to generate a feature matrix, which is then classified using the intelligent K–means clustering. As an application example, shape specific information (e.g., latency, and amplitude) of LFPs evoked in the rat somatosensory barrel cortex and used in decoding the rat whiskers information processing pathway is provided by the method

An automated method for detection of layer activation order in information processing pathway of rat barrel cortex under mechanical whisker stimulation

Rodents perform object localization, texture and shape discrimination very precisely through whisking. During whisking, microcircuits in corresponding barrel columns get activated to segregate and integrate tactile information through the information processing pathway. Sensory signals are projected through the brainstem and thalamus to the corresponding ‘barrel columns’ where different cortical layers are activated during signal projection. Therefore, having precise information about the layer activation order is desirable to better understand this signal processing pathway. This work proposes an automated, computationally efficient and easy to implement method to determine the cortical layer activation from intracortically recorded local field potentials (LFPs) and derived current source density (CSD) profiles: 1. Barrel cortex LFPs are represented by a template of four subsequent events: small positive/negative (E1) → large negative (E2) → slow positive (E3)→ slow long negative (E4). The method exploits the layer specific characteristics of LFPs to obtain latencies of the individual events (E1–E4), then taking the latency of E2 for calculating the layer activation order. 2. The corresponding CSD profile is calculated from the LFPs and the first sink’s peak is considered as a reference point to calculate latencies and evaluate the layer activation order. Other reference points require manual calculation. Similar results of layer activation sequence are found using LFPs and CSDs. Extensive tests on LFPs recorded using standard borosilicate micropipettes demonstrated the method’s workability. An interpretation of layer activation order and CSD profiles on the basis of a simplified interacortical barrel column architecture is also provided

Penerapan Model Pembelajaran Inkuiri Untuk Meningkatkan Hasil Belajar IPA Siswa Kelas III Sdn 009 Tanjung Penyembal Kota Dumai

The background research by low result the science lerning from the students Class III SDN 009Tanjung Penyembal Kota Dumai. The formulation of the problem is what the application of models lerning inkuiri can the result increasing student learning scinces in Class III SDN 009 Tanjung Penyembal Kota Dumai?. This reasearcs of the direction to in creasing result scinces learning to the students in Class III SDN 009 Tanjung Penyembal in the Kota Dumai. With appucations models learning inkuiri this action in the research in the class so much to doing two siklus based an analiys\u27s of data and discussion reasearch, evenly learning result the student experienced vaive is 65,89%, in the siklus one that 75,17%, and siklus two that is 80% in the aktiviti presentase the teacher at the siklus one the first meeting 41,66% category minus, in the second 58,33% category enaugh. In the two siklus the first meeting 70,83% category good, and that meeting in the second 91,66% with category very good, persentase activity students in the siklus one the first meeting 37,5% category minus, in the second meeting 66,66% with category enaugh. In the first siklus the rirst meeting 75% with category good, to be based on the researc of the result so can concluded that appucations models in the learning inkuiri can result incresing learning science the students Class III SDN 009 Tanjung Penyembal Kota Dumai

Green synthesis of NiO NPs using the aqueous extract of Drimia maritima and investigation of its catalytic activity for removal of aromatics from the natural water sources of Soran city

The NiO nanoparticles (NPs) were biosynthesized using the aqueous extract of the Scilla Martitimal (Drimia maritima) from the family of Asparagaceae. The green synthesized NiONPs was characterized using electron dispersive spectroscopy (EDS), Uv-vis spectroscopy (Uv-vis), X-ray diffraction (XRD), scanning electron microscopy (SEM) and elemental mapping. Furthermore, the excellent catalytic activity, of green synthesized nanoparticles was monitored using Uv-vis spectroscopy during the removal of aromatic contaminants from the water resources of northern parts of Soran city of Iraqi Kurdistan at ambient temperature.

Configuration Detection of Grounding Grid: Static Electric Field Based Nondestructive Technique

Grounding grid configuration which, is key to its fault diagnosis, changes continuously with the extension in a substation. Furthermore, older substations grounding grid configurations are unknown. Existing literature regarding configuration detection mainly accounts for the magnetic field that required a gradient to locate the grounding conductor. The gradient of raw measurement in the substation vicinity enhances electromagnetic noise and distorts the results. Therefore, in this paper, we have developed a new algorithm, Configuration Detection of Grounding Grid (CDGG) based on the static electric field and the concept of ordered pairs to draw the configuration of the unknown grounding grid. Unlike, the practiced magnetic field, the electric field does not require a gradient. The maximum electric field value indicates the location of a grounding conductor. The connection between nodes is verified by measuring the electric field on the circle. Furthermore, the proposed algorithm also locates any diagonal conductor in the configuration. Mathematical reasoning and simulation results illustrate that our proposed algorithm is feasible to draw the configuration of the unknown grounding grid