Designing a Novel Reversible Systolic Array Using QCA

Many efforts have been done about designing nano-based devices till today. One of these devices is Quantum Cellular Automata (QCA). Because of astonishing growth in VLSI circuits Designs in larger scales and necessity of feature size reduction, there is more need to design complicated control systems using nano-based devices. Besides, since there is a critical manner of temperature in QCA devices, complicated systems using these devices should be designed reversibly. This article has been proposed a novel architecture for QCA circuits in order to utilizing in complicated control systems based on systolic arrays with high throughput and least power dissipation

BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions

This paper presents BlendNet, a neural network architecture employing a novel building block called Blend module, which relies on performing binary and fixed-point convolutions in its main and skip paths, respectively. There is a judicious deployment of batch normalizations on both main and skip paths inside the Blend module and in between consecutive Blend modules. This paper also presents a compiler for mapping various BlendNet models obtained by replacing some blocks/modules in various vision neural network models with BlendNet modules to FPGA devices with the goal of minimizing the end-to-end inference latency while achieving high output accuracy. BlendNet-20, derived from ResNet-20 trained on the CIFAR-10 dataset, achieves 88.0% classification accuracy (0.8% higher than the state-of-the-art binary neural network) while it only takes 0.38ms to process each image (1.4x faster than state-of-the-art). Similarly, our BlendMixer model trained on the CIFAR-10 dataset achieves 90.6% accuracy (1.59% less than full precision MLPMixer) while achieving a 3.5x reduction in the model size. Moreover, The reconfigurability of DSP blocks for performing 48-bit bitwise logic operations is utilized to achieve low-power FPGA implementation. Our measurements show that the proposed implementation yields 2.5x lower power consumption.Comment: 7 pages - under revie

Synthesis and identification of polystyrene via conventional and controlled radical polymerization methods: Effect of temperature, initiator and transfer agent on molecular weight and reaction rate

Polystyrene (PSt) has been known as one of the important polymers with a wide range of applications. Ability to synthesize PSt with different but predictable molecular weights for various applications is very important in the laboratories and industries. In this study, using various simple and inexpensive techniques with only free radical mechanism, it was tried to synthesize PSt with different low ( 105 g mol-1) molecular weights. PSts with high and moderate molecular weights (2×104-105 g mol-1) were synthesized using thermal and conventional free radical polymerizations, respectively. Reverse iodine transfer radical polymerization (RITP) was utilized to synthesize PSt with a low and controlled molecular weight. Conversion, molecular weight distribution and PSt structure were analyzed using 1H-NMR spectroscopy and size exclusion chromatography (SEC), respectively. Moreover, ω-iodo poly(dimethylsiloxane), i.e. PDMS-I, was also used as a macrotransfer agent for ITP of styrene. Diblock copolymer of PDMS-b-PSt was characterized by 1H-NMR and SEC analyses

Conventional diverting techniques and novel fibr-assisted self-diverting system in carbonate reservoir acidizing with successful case studies

Conventional diverting techniques may not be useful, and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate reservoirs. Nowadays, there have been a lot of materials and techniques utilized for acid diversion. This paper aimed to consider various utilization of fiber-assisted self as the diverting system in acidifying carbonate reservoirs. One of the main reasons for its ability to overcome uncertainty is that the fiber itself is an inherent property, allowing for an automatic diversion adjustment downhole. When a media with infinite permeability, such as a perforation tunnel or natural fracture, is filled and bridged with a material of finite permeability such as degradable fiber, this creates a temporary skin to injectivity in that zone. This is a powerful concept, as it is a way, despite uncertainty from a lack of logging data or uncertainty in the data itself, of dampening the reservoir’s natural permeability contrast. It does not rely on petrophysical certainty to design a successful treatment

Effect of alpha-lipoic acid supplementation on the lipid profile and lipid ratios in women with gestational diabetes mellitus: A clinical trial study

Background: Evidence suggests that Oxidative stress has been shown to plays an important role in gestational diabetes mellitus (GDM) etiology. On the other hand, women with GDM are at an increased risk for complications such as endothelial dysfunction and cardiovascular diseases. Objective: To investigate the effects of alpha-lipoic acid (ALA) on the maternal circulating values of lipid profile and lipid ratios in women with GDM. Materials and Methods: Sixty women with GDM were participated in the present study. The ALA group (n = 30) received ALA (100 mg/day) and the placebo group (n = 30) received cellulose acetate (100 mg/day) for eight wk. The maternal circulating values of hemoglobin A1C, triglyceride (TG), total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, triglyceride-glucose (TyG) index, atherogenic index of plasma (AIP), non-HDL-C, and lipid ratios were assessed before and after the intervention. P-value < 0.05 was considered as statistically significant. Results: The values of TyG index (p < 0.001), TG (p = 0.006), TG/HDL-C (p = 0.003), and AIP (p = 0.005) decreased significantly in the ALA group after the intervention. Conclusion: Maternal circulating values of TyG index, TG, TG/HDL, AIP decreased after eight wk of ALA supplementation in women with GDM. Key words: Lipoic acid, Gestational diabetes, Lipids, Triglycerides, Cholesterol

New Advances in Postharvest Technology: An Overview for Feed Production from Postharvest Wastes and By-Products

Globally agricultural production system generates a substantial proportion of postharvest waste that causes environmental pollution resulting in economic losses and human health-related problems. It is therefore important to make an assessment of this loss and turn it back to the consumption cycle. Processing and conversion of by-products, residues, and agricultural wastes and their reuse in the production cycle is a suitable solution for the economic use of these types of postharvest waste, especially in feeding livestock animals or in related industries. This chapter provides an overview of the assessment of the postharvest wastes that are generated in the field or on the farm at the time of harvest or processing industry. After introducing the potential use of technologies to upgrade postharvest waste for animal feed purposes and briefly discussing livestock performance, this review presents the latest and most interesting research on the use of postharvest wastes as feed

Benefit of magnesium-25 carrying porphyrin-fullerene nanoparticles in experimental diabetic neuropathy

Diabetic neuropathy (DN) is a debilitating disorder occurring in most diabetic patients without a viable treatment yet. The present work examined the protective effect of 25Mg-PMC16 nanoparticle (porphyrin adducts of cyclohexil fullerene-C60) in a rat model of streptozotocin (STZ)-induced DN. 25Mg-PMC16 (0.5 lethal dose50 [LD50]) was administered intravenously in two consecutive days before intraperitoneal injection of STZ (45 mg/kg). 24Mg-PMC16 and MgCl2 were used as controls. Blood 2,3-diphosphoglycerate (2,3-DPG), oxidative stress biomarkers, adenosine triphosphate (ATP) level in dorsal root ganglion (DRG) neurons were determined as biomarkers of DN. Results indicated that 2,3-DPG and ATP decreased whereas oxidative stress increased by induction of DN which all were improved in 25Mg-PMC16-treated animals. No significant changes were observed by administration of 24Mg-PMC16 or MgCl2 in DN rats. It is concluded that in DN, oxidative stress initiates injuries to DRG neurons that finally results in death of neurons whereas administration of 25Mg-PMC16 by release of Mg and increasing ATP acts protectively

The role of magnesium sulfate in the intensive care unit

Magnesium (Mg) has been developed as a drug with various clinical uses. Mg is a key cation in physiological processes, and the homeostasis of this cation is crucial for the normal function of body organs. Magnesium sulfate (MgSO4) is a mineral pharmaceutical preparation of magnesium that is used as a neuroprotective agent. One rationale for the frequent use of MgSO4 in critical care is the high incidence of hypomagnesaemia in intensive care unit (ICU) patients. Correction of hypomagnesaemia along with the neuroprotective properties of MgSO4 has generated a wide application for MgSO4 in ICU