High-Throughput Low-Energy Content-Addressable Memory Based on Self-Timed Overlapped Search Mechanism

2012 ◽  
Author(s):  
Naoya Onizawa ◽  
Shoun Matsunaga ◽  
Vincent C. Gaudet ◽  
Takahiro Hanyu
Keyword(s):  
High Throughput ◽  
Energy Content ◽  
Low Energy ◽  
Content Addressable Memory ◽  
Search Mechanism

High-Throughput Low-Energy Self-Timed CAM Based on Reordered Overlapped Search Mechanism

2014 ◽  
Vol 61 (3) ◽  
pp. 865-876 ◽  
Author(s):  
Naoya Onizawa ◽  
Shoun Matsunaga ◽  
Vincent C. Gaudet ◽  
Warren J. Gross ◽  
Takahiro Hanyu
Keyword(s):  
High Throughput ◽  
Low Energy ◽  
Search Mechanism

Net energy efficiencies of Holstein, Jersey and Holstein-Jersey F1-crosses

2001 ◽  
Vol 72 (2) ◽  
pp. 335-342 ◽  
Author(s):  
R. Schwager-Suter ◽  
C. Stricker ◽  
D. Erdin ◽  
N. Künzi
Keyword(s):  
Body Weight ◽  
Body Condition ◽  
Fixed Effects ◽  
Energy Content ◽  
High Energy ◽  
Repeated Measurements ◽  
Low Energy ◽  
Body Tissue ◽  
Net Energy ◽  
Tissue Change

Abstract Net energy efficiencies were calculated from data of an experimental herd with respect to type of cow, lactation number, stage of lactation and diet. The trial consisted of 71 Holstein-Friesians, 71 Jerseys and 71 Holstein-Jersey F1-crosses in 1st, 2nd and > 2nd lactation. Data were collected during 210 days of lactation, from calving to week 30 and included total dry matter intake, energy content of foods, milk yield, milk solids, body weight, body condition scores and several body measurements. The cows were divided into four feeding groups : high and low energy content of roughage as well as high and low proportion of concentrates. Net energy efficiency was calculated as the ratio of milk energy to total net energy intake after subtracting energy utilized for maintenance and body tissue change. Body tissue change was calculated either via body-weight changes or body condition-score changes. Due to the distribution of the efficiencies being skewed, efficiencies were transformed applying a Box-Cox transformation. Transformed net energy efficiencies were analysed using a repeated measurements design considering the sequential nature of the observations. Mixed models with a compound symmetry structure for the variance components were applied. Final models contained the fixed effects of type, lactation number, feeding group and the covariates week of lactation and its square. Holstein-Jersey crosses were more efficient than purebreds, second lactation cows were least efficient, cows given low energy roughage and a lower proportion of concentrates were more efficient than cows on the other diets. Least efficient were the cows belonging to the high energy roughage and higher proportion of concentrates group. The coefficients of determination of the final models were between 0·357 and 0·492.

scholarly journals Energy Allocation and Postnatal Growth in Captive Elegant Tern (Sterna Elegans) Chicks: Responses to High-Versus Low-Energy Diets

The Auk ◽  
2003 ◽  
Vol 120 (4) ◽  
pp. 1069-1081 ◽  
Author(s):  
Wasila M. Dahdul ◽  
Michael H. Horn
Keyword(s):  
Prey Species ◽  
Wing Length ◽  
Energy Content ◽  
Daily Intake ◽  
High Energy ◽  
Low Energy ◽  
Intake Rate ◽  
Chick Survival ◽  
Digestive Organs ◽  
Gut Passage

Abstract Effects of variable energy intake on chick growth, organ development, and gut-passage time in seabirds were investigated by raising Elegant Tern (Sterna elegans) chicks in the laboratory on three diets involving a major prey species, northern anchovy (Engraulis mordax), and a minor prey species, topsmelt (Atherinops affinis). Anchovies are ∼25% higher in energy content than topsmelt and represent a more abundant but highly fluctuating prey resource. Chicks were raised from age 15 to age 35 days posthatch on one of three diets (n = 8): (1) high-energy anchovy at the average daily intake rate, (2) low-energy topsmelt at the same intake rate, and (3) high-energy topsmelt (i.e. at a biomass equal in energy content to the anchovy diet). Chicks raised on the high-energy anchovy diet had a significantly faster gain of body mass and wing length. All three groups, however, had attained a statistically similar wing length at 35 days posthatch and did not differ in lean dry mass or pectoral muscle mass, indicating that energy was allocated preferentially toward wing development and flight capacity. Most digestive organs were heavier and gut-passage rates faster for chicks fed topsmelt. Bill dimensions and tarsus length showed little difference among chicks on the three diets. Lipid content of chicks that were fed anchovy was twice that of those fed low-energy topsmelt and one-third higher than that of chicks on the high-energy topsmelt diet. Our results indicate that Elegant Terns have evolved certain capacities for growth and digestion in response to variable prey quality that may increase the probability of chick survival. Nevertheless, if Elegant Tern chicks were switched to a lower quality, primarily topsmelt diet, they would be underweight at fledging with heavier digestive organs, lower lipid reserves, and faster gut-passage times, which would place added provisioning demands on the parents. Under that scenario, the prospects for survival and long-term reproductive success might diminish for such an Elegant Tern colony.

A High-Throughput Low-Energy Arithmetic Processor

2018 ◽  
Vol E101.C (4) ◽  
pp. 281-284 ◽  
Author(s):  
Hong-Thu NGUYEN ◽  
Xuan-Thuan NGUYEN ◽  
Cong-Kha PHAM
Keyword(s):  
High Throughput ◽  
Low Energy ◽  
Arithmetic Processor

High-Throughput/Low-Energy MTJ-Based True Random Number Generator Using a Multi-Voltage/Current Converter

2020 ◽  
Vol 28 (10) ◽  
pp. 2171-2181
Author(s):  
Naoya Onizawa ◽  
Shogo Mukaida ◽  
Akira Tamakoshi ◽  
Hitoshi Yamagata ◽  
Hiroyuki Fujita ◽  
...  
Keyword(s):  
High Throughput ◽  
Random Number ◽  
Random Number Generator ◽  
Low Energy ◽  
Number Generator ◽  
True Random Number Generator ◽  
Current Converter

scholarly journals Xylanase, and the role of digestibility and hindgut fermentation in pigs on energetic differences among high and low energy corn samples1

2019 ◽  
Vol 97 (10) ◽  
pp. 4293-4297 ◽  
Author(s):  
Amy L Petry ◽  
Helen V Masey O’Neill ◽  
John F Patience
Keyword(s):  
Dietary Fiber ◽  
Feed Intake ◽  
Energy Content ◽  
Low Energy ◽  
Total Dietary Fiber ◽  
Fecal Samples ◽  
Ileal Digestibility ◽  
Collection Period ◽  
Dietary Treatments

Abstract The experimental objective was to evaluate the digestibility and fermentation differences between high and low energy corn samples and their response to xylanase supplementation. Four corn samples, 2 with higher DE content (HE-1 and HE-2; 3.74 and 3.75 Mcal DE/kg DM, respectively) and 2 with a lower DE content (LE-1 and LE-2; 3.63 and 3.56 Mcal DE/kg DM, respectively) were selected based upon a previous digestibility trial. Sixteen individually housed barrows (PIC 359 × C29; initial BW = 34.8 ± 0.23kg) were surgically fitted with an ileal T-cannula and randomly allotted to treatments in an 8 × 4 Youden square design. Dietary treatments were arranged in a 4 × 2 factorial: HE-1, HE-2, LE-1, and LE-2, with and without xylanase supplementation. Diets were formulated using one of the 4 corn samples, casein, vitamins, minerals, and 0.4% chromic oxide as an indigestible marker. Feed intake was established at approximately 3 times the estimated energy required for maintenance (NRC 2012) based upon the average initial BW of the pigs at the start of each collection period, which consisted of 9 d adaptation, 2 d of fecal, and 3 d of ileal collections. Diets, ileal, and fecal samples were analyzed for DM, GE, and total dietary fiber (TDF), to determine apparent total tract (ATTD), hindgut fermentation (HF), apparent ileal digestibility (AID) coefficients. A diet × enzyme interaction was not observed for any of the measured variables (P > 0.10). The HE-1 and HE-2 diets had greater ATTD of GE, and HE-2 diet had greater ATTD of DM (P < 0.001 and P = 0.007, respectively). Xylanase, independent of diet, improved the ATTD of GE and DM (84.8 vs. 83.6% for GE with and without enzyme, respectively, P = 0.008; and 84.2 and 83.0% with and without enzyme, respectively, P = 0.007). The energetic differences among these corn samples appeared to be driven by fermentability in the hindgut. Supplementing xylanase improves digestibility irrespective of the digestibility energy content of corn.

scholarly journals Microbial Upgrading of Acetate into Value-Added Products—Examining Microbial Diversity, Bioenergetic Constraints and Metabolic Engineering Approaches

2020 ◽  
Vol 21 (22) ◽  
pp. 8777
Author(s):  
Regina Kutscha ◽  
Stefan Pflügl
Keyword(s):  
Metabolic Engineering ◽  
Energy Content ◽  
Value Added ◽  
Inhibitory Effect ◽  
Low Energy ◽  
Waste Streams ◽  
E Coli ◽  
Increasing Trend ◽  
Engineering Measures ◽  
Value Added Products

Ecological concerns have recently led to the increasing trend to upgrade carbon contained in waste streams into valuable chemicals. One of these components is acetate. Its microbial upgrading is possible in various species, with Escherichia coli being the best-studied. Several chemicals derived from acetate have already been successfully produced in E. coli on a laboratory scale, including acetone, itaconic acid, mevalonate, and tyrosine. As acetate is a carbon source with a low energy content compared to glucose or glycerol, energy- and redox-balancing plays an important role in acetate-based growth and production. In addition to the energetic challenges, acetate has an inhibitory effect on microorganisms, reducing growth rates, and limiting product concentrations. Moreover, extensive metabolic engineering is necessary to obtain a broad range of acetate-based products. In this review, we illustrate some of the necessary energetic considerations to establish robust production processes by presenting calculations of maximum theoretical product and carbon yields. Moreover, different strategies to deal with energetic and metabolic challenges are presented. Finally, we summarize ways to alleviate acetate toxicity and give an overview of process engineering measures that enable sustainable acetate-based production of value-added chemicals.

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