Colour Confinement and Deformed Baryons in Quantum Chromodynamics

The confinement of coloured entities in Quantum Chromodynamics (QCD) is traced to colour singletness of the observed entities. This is believed to arise from colour singlet state of quark-antiquark for mesons and a fully colour antisymmetric state for baryons. This demands a spherically symmetric baryon in the ground state. However it is pointed out that a deformed baryon in the ground state has been found to be extremely successful phenomenology. There are convincing experimental supports for a deformed nucleon as well. This means that something has been missed in the fundamental theory. In this paper this problem is traced to a new colour singlet state for baryons which has been missed hitherto and incorporation of which provides a consistent justification of a deformed baryon in the ground state. Interestingly this new colour singlet state is global in nature.Comment: 5 pages, 1 figur

Design of Special Function Units in Modern Microprocessors

Today’s computing systems demand high performance for applications such as cloud computing, web-based search engines, network applications, and social media tasks. Such software applications involve an extensive use of hashing and arithmetic operations in their computation. In this thesis, we explore the use of new special function units (SFUs) for modern microprocessors, to accelerate such workloads. First, we design an SFU for hashing. Hashing can reduce the complexity of search and lookup from O(p) to O(p/n), where n bins are used and p items are being processed. In modern microprocessors, hashing is done in software. In our work, we propose a novel hardware hash unit design for use in modern microprocessors. Since the hash unit is designed at the hardware level, several advantages are obtained by our approach. First, a hardware-based hash unit executes a single hash instruction to perform a hash operation. In a software-based hashing in modern microprocessors, a hash operation is compiled into multiple instructions, thereby degrading performance. Second, software-based hashing stores hash data in a DRAM (also, hash operation entries can be stored in one of the cache levels). In a hardware-based hash unit, hash data is stored in a dedicated memory module (a hardware hash table), which improves performance. Third, today’s operating systems execute multiple applications (processes) in parallel, which entail high memory utilization. Hence the operating systems require many context switching between different processes, which results in many cache misses. In a hardware-based hash unit, the cache misses is reduced significantly using the dedicated memory module (hash table). These advantages all reduce the power consumption and increase the overall system performance significantly with a minimal increase in the microprocessor’s die area. We evaluate our hardware-based hash unit and compare its performance with software-based hashing. We start by evaluating our design approach at the micro-architecture level in terms of system performance. After that, we design our approach at the circuit level design to obtain the area overhead. Also, we analyze our design’s power and delay for each hash operation. These results are compared with a traditional hashing implementation. Then, we present an FPGA-based coprocessor for hash unit acceleration, applied to a virus checking application. Second, we present an SFU to speed up arithmetic operations. We call this arithmetic SFU a programmable arithmetic unit (PAU). In modern microprocessors, applications that require heavy arithmetic computations are done in software. To improve the performance for such computations, we present a programmable arithmetic unit (PAU), a partially reconfigurable methodology for arithmetic applications. The PAU consists of a set of IP blocks connected to a reconfigurable FPGA controller via a fast mesh-based interconnect. The IP blocks in the PAU can be any IP block such as adders, subtractors, multipliers, comparators and sign extension units. The PAU can have one or more copies of the same IP block (for example, 5 adders and 7 multipliers). The FPGA controller is an on-chip FPGA-based reconfigurable control fabric. The FPGA controller enables different arithmetic applications to be embedded on the PAU. The FPGA controller is programmed for different applications. The reconfigurable logic is based on a LUT-based design like a traditional FPGA. The FPGA controller and the IP blocks in the PAU communicate via a high speed ring data fabric. In our work, we use the PAU as an SFU in modern microprocessors. We compare the performance of different hardware-based arithmetic applications in the PAU with software-based implementations in modern microprocessors

Perbedaan Persepsi Terhadap Pengembangan Karir Antara Wanita Menikah Dan Wanita Belum Menikah (Single)

Penelitian ini bertujuan untuk mengetahui perbedaan persepsi terhadap pengembangan karir antara wanita menikah dan wanita belum menikah (single). Penelitian ini melibatkan 80 orang wanita bekerja yang dibagi menjadi dua kriteria yaitu wanita menikah dan wanita belum menikah (single). Metode pengambilan sampel dilakukan dengan teknik incidental sampling. Alat ukur yang digunakan dalam penelitian ini adalah skala persepsi pengembangan karir berdasarkan teori Davis & Werther (1996) yang terdiri dari aspek-aspek perlakuan yang adil dalam berkarir, kepedulian atasan langsung, informasi berbagai peluang promosi, minat untuk dipromosikan dan kepuasan karir. Hasil analisa data penelitian menunjukan tidak adanya perbedaan terhadap persepsi pengembangan karir antara wanita menikah dan belum menikah (single)

Newly Discovered RR Lyrae Stars in the SDSSXPanXSTARRS1XCatalina Footprint

We present the detection of 6,371 RR Lyrae (RRL) stars distributed across ~14,000 deg^2 of the sky from the combined data of the Sloan Digital Sky Survey (SDSS), the Panoramic Survey Telescope and Rapid Response System 1 (PS1), and the second photometric catalogue from the Catalina Survey (CSDR2), out of these, ~2,021 RRL stars (~572 RRab and 1,449 RRc) are new discoveries. The RRL stars have heliocentric distances in the 4--28 kpc distance range. RRL-like color cuts from the SDSS and variability cuts from the PS1 are used to cull our candidate list. We then use the CSDR2 multi-epoch data to refine our sample. Periods were measured using the Analysis of Variance technique while the classification process is performed with the Template Fitting Method in addition to the visual inspection of the light curves. A cross-match of our RRL star discoveries with previous published catalogs of RRL stars yield completeness levels of ~50% for both RRab and RRc stars, and an efficiency of ~99% and ~87% for RRab and RRc stars, respectively. We show that our method for selecting RRL stars allows us to recover halo structures. The full lists of all the RRL stars are made publicly available.Comment: 14 pages, 11 figures. Accepted 2014 March 30. Received 2014 March 12; in original form 2013 November 2

Automated deep learning in ophthalmology: AI that can build AI

PURPOSE OF REVIEW: The purpose of this review is to describe the current status of automated deep learning in healthcare and to explore and detail the development of these models using commercially available platforms. We highlight key studies demonstrating the effectiveness of this technique and discuss current challenges and future directions of automated deep learning. RECENT FINDINGS: There are several commercially available automated deep learning platforms. Although specific features differ between platforms, they utilise the common approach of supervised learning. Ophthalmology is an exemplar speciality in the area, with a number of recent proof-of-concept studies exploring classification of retinal fundus photographs, optical coherence tomography images and indocyanine green angiography images. Automated deep learning has also demonstrated impressive results in other specialities such as dermatology, radiology and histopathology. SUMMARY: Automated deep learning allows users without coding expertise to develop deep learning algorithms. It is rapidly establishing itself as a valuable tool for those with limited technical experience. Despite residual challenges, it offers considerable potential in the future of patient management, clinical research and medical education. VIDEO ABSTRACT: http://links.lww.com/COOP/A44

Thyroid Hormone and Blood Metabolites Concentrations of Broiler Chickens Subjected to Feeding Time Restriction

The present study was conducted to determine the effect of feeding time restriction on thyroid hormone and blood metabolites concentration of broiler chickens during feed restriction and realimentation period. Four hundred of 7 days-old unsexed broiler chicken of Lohmann commercial strain were arranged in a completely randomized design with 5 treatments and analyzed based on ANOVA. The treatments were: chicks fed ad libitum as a control treatment (R-0); chicks had free access to feed during two periods of 2 h (08:00-10:00 and 16:00-18:00) from 7-14 d of age (R-1) and 7-21 d of age (R-2); chicks had free access to feed during two periods of 4 h (08:00-12:00 and 16:00-20:00) from 7-14 d of age (R-3) and 7-21 d of age (R-4). The treatments consisted of 4 replicates with 20 chicks each. During feeding time restriction from 7 to 21 d of age, thyroid hormone and albumin plasma concentration of R-2 and R-4 were lower (P3 and T4) and blood metabolite (albumin) decreased during feeding time restriction for 4 and 8 h per d from 7 to 21 d of age and it returns to normal during realimentation period

Estimation of supply and demand functions of the major food security crops in the Sudan (1974- 2004)

This study aimed at estimating the supply and demand functions and measuring the food consumption gaps of the main food crops, namely sorghum, wheat and millet. Descriptive statistics and backward regret-ssion analysis were used as tools of analysis. Results showed that the quantity of food crops produced was far below the real needs for local consumption. Moreover, self-sufficiency ratio has declined from 100 % in 1981/1982 to 72.6% in 2000 /2001, indicating positive trend in the food consumption gap. Regarding sorghum crop, results showed that the most important factor affecting the supply of sorghum was the lagged producer price whereas the most important factors affecting demand for sorghum were consumer price of sorghum and per capita income. Results showed that the most important factors affecting the supply of wheat were the producer price of sorghum and the producer price of cotton whereas the most important factor affecting demand for wheat was the consumer price of sorghum. The millet crop was affected by the lagged producer price and consumer price of millet supply and demand functions, respectively. The results of this study indicated that, in a national sense, Sudan is food insecure during the period 1980/81-2004/2005. The shift in consumption habits towards wheat is highly responsible for the food insecurity. &nbsp