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ANALYSIS AND DESIGN OF AN ULTRA-LOW POWER LOW-NOISE DTMOS BASED INSTRUMENTATION AMPLIFIER APPLIED TO THE PHYSIOLOGICAL SIGNAL ACQUISITION SYSTEM
With the rapid development of Internet of Things (IoT) technology and the popularity of portable devices, portable medical devices will become widely available soon. Physiological signal monitoring sensors are widely used for personal health management and long-term healthcare monitoring, especially for preventing acute illnesses and chronic disease monitoring for pediatric and elderly. Physiological signal monitoring sensors have the ability to monitor people's behavior in real-time for various daily activities, such as physiological signals that exhibit different waveforms and amplitudes when sleeping and awake. The real-time collected signals can be frequently compared to medical databases to detect abnormal health data for preventive healthcare. Therefore, an accurate and error-free system that provides high-quality monitoring of physiological signals is very important. Typically, an instrumentation amplifier (IA) is used for high accurate acquisition and amplification within this system. An IA with excellent performance gives patients safer health conditions and allows patients to have better health protection.This work introduces an ultra-low-power instrumentation amplifier operating at sub-0.4V voltage. Using dynamic threshold voltage MOSFET (DTMOS). The DTMOS reduces threshold voltage further and increases the driven current while the device is operating. Therefore, the DTMOS-based folded-cascode has been chosen, resulting in an increases the common-mode rejection ratio (CMRR) of the circuit while increasing the output signal swing compared over conventional topologies. The IA takes the benefit of the rail-to-rail common-mode feedback circuit and chopping to reduce flicker noise and DC offset. Reducing the chip area and power consumption leads to the output signal's high signal-to-noise ratio (SNR). The post-simulation shows that the circuit archives 45dB gain, DC to 2.07KHz operating bandwidth, and 0.8μW total power consumption. The simulated CMRR is 103dB, with 80dB power supply rejection ratio (PSRR). The simulated input reference noise is 140nV/√Hz (@100Hz) with 7.27 Noise Efficiency Factor (NEF).Keywords: Instrumentation Amplifier, DTMOS, rail-to-rail, chopping, clock boosting switch, physiological acquisition, bio-medical application
3D GIS Modeling of Soft Geo-Objects: Taking Rainfall, Overland Flow, and Soil Erosion as an Example
In physics, objects can be divided into rigid and soft objects according to the object deformation capacity. Similarly, geo-object can also be classified into rigid geo-objects (e.g., building, urban) and soft geo-objects (e.g., mudflow, water, soil erosion). There are three types of approaches for 3D GIS modeling, i.e., surface-based, volume-based, and hybrids in terms of geometry. These approaches are suitable for representing rigid geo-objects, but they are not suitable to simulate the intrinsic properties of the soft geo-object, i.e., dynamics and deformation. And so far there are few GIS modeling methods for simulation of soft geo-objects. GIS flow elements (FEs) and GIS soft voxels (SVs) were proposed for 3D modeling of soft geo-objects. GIS flow elements can realistically represent the dynamics and stochastics of soft geo-objects, while GIS soft voxels simulate deformation of soft geo-objects. The authors discuss the implementation and computer programming of GIS flow elements and GIS soft voxels in this study. GIS FE and SV have been successfully applied in a case study toward the simulation of the process of rainfall, overland flow, and soil erosion. A software system has been designed and developed, which has the functions of data management, model computation, and 3D simulation
How Does Suppliers’ Fairness Affect the Relationship Quality of Agricultural Product Supply Chains?
Although many studies have suggested that the relationship between different supply chain members significantly affects agricultural product quality, suppliers’ perceptions of fairness, which greatly influence their decisions on building the relationship quality, are often overlooked. Particularly, the empirical evidence to investigate the impacts of suppliers’ fairness on the relationship quality and the factors that affect the suppliers’ fairness is missing, and therefore this knowledge gap needs to be filled by new research. Herein, we conducted a survey of 450 agricultural product suppliers and systemically analyzed the impact of antecedents on fairness perception and the impact of fairness perception on relationship quality. In addition, we developed a structural equation model and found that information sharing and price satisfaction had significantly positive effects on procedural fairness and distributive fairness, respectively. Furthermore, our studies demonstrated that procedural fairness is more important in improving the relationship quality than distributive fairness. However, supplier dependence is another important impact factor, and it greatly decreases the positive effects of suppliers’ fairness on relationship quality. In summary, the study results provide several managerial implications and extend our understanding of the importance of suppliers’ fairness in the relationship quality, which involves product development with respect to the supplier’s performance
Relationship between polymorphisms in vitamin D metabolism-related genes and the risk of rickets in Han Chinese children
BACKGROUND: Vitamin D deficiency rickets is common in China. Genetic factors may play an important role in the susceptibility to rickets. Our study aimed to identify the relationship between three vitamin D-related genes (group specific component [GC], cytochrome P450, family 2, subfamily R, polypeptide 1 (CYP2R1), and 7-dehydrocholesterol reductase/nicotinamide-adenine dinucleotide synthetase 1 (DHCR7/NADSYN1) and rickets in Han Chinese children from northeastern China. METHODS: A total of 506 Han children from northeastern China were enrolled in the current study. Twelve SNPs in three candidate genes were genotyped using the SNaPshot assay. Linear regression was used to examine the effect of 12 single-nucleotide polymorphisms (SNPs) on the risk of rickets. RESULTS: In our case–control cohort, six alleles of the 12 SNPs conferred a significantly increased risk of rickets in GC (rs4588 C, P = 0.003, OR: 0.583, 95% CI: 0.412-0.836; rs222020 C, P = 0.009, OR: 1.526, 95% CI: 1.117-2.0985; rs2282679 A, P = 0.010, OR: 0.636, 95% CI: 0.449-0.900; and rs2298849 C, P = 0.001, OR: 1.709, 95% CI: 1.250-2.338) and in CYP2R1 (rs10741657 G, P = 0.019, OR: 1.467, 95% CI: 1.070-2.011; and rs2060793 G, P = 0.023, OR: 0.689, 95% CI: 0.502-0.944). The results remained significant after adjustment for sex and body mass index. We further analyzed the effect of genotypes under three different genetic models. After using Bonferroni’s method for multiple corrections, rs4588, rs2282679, and rs2298849 of the GC gene were significantly associated with rickets under the dominant (P =0.003 for rs4588, P =0.024 for rs2282679, and P =0.005 for rs2298849) and additive models (P = 0.006 for rs4588, P = 0.024 for rs2282679, and P = 0.005 for rs2298849). Haplotype analysis showed that the CAT haplotype of the GC gene (P = 0.005) and the GAA haplotype of the CYP2R1 gene (P = 0.026) were associated with susceptibility to rickets. CONCLUSIONS: This case–control study confirmed the strong effect of GC and CYP2R1 loci on rickets in Han children from northeastern China
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