381 research outputs found
Relationship between damper resistance and damper insertion depth
Experiments were performed to determine a predictive model for sliding gate damper resistance (Xdamper). Independent variables included eight ratios of insertion depth (I) to duct diameter (D), two different values of D, four different levels of air velocity, two damper orientations, and two damper edges (Concave/Straight). Analysis of Log (Xdamper) values showed a highly linear relationship with I/D and high statistical significance (p\u3c0.05) for all independent variables and for most two-way interactions. Nearly the entire regression model (R2 = 0.985) was explained by I/D, so all but I/D and Edge were dropped from the final model: Y Log(Xdamper) = -1.434 + 0.089*(Edge) + 4.30*( I/D) (R2 = 0.978). The resulting predictive model: Xdamper = 0.037*10(0.089*(Edge )+4.3*I/D). However error for untransformed Xdamper increased sharply with increasing (I/D) and percent errors were as high as 125% across all values of (I/D). Hence the predictive models are useful for only initial rough adjustment and should be followed by final trial and error adjustment to goal air flow
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Heterogeneous Integration on Silicon-Interconnect Fabric using fine-pitch interconnects (≤10 �m)
Today, the ever-growing data-bandwidth demand is pushing the boundaries of the traditional printed circuit board (PCB) based integration schemes. Moreover, with the apparent saturation of semiconductor scaling, commonly called Moore's law, system scaling warrants a paradigm shift in packaging technologies, assembly techniques, and integration methodologies. In this work, a superior alternative to PCBs called the Silicon-Interconnect Fabric (Si-IF) is investigated. The Si-IF is a silicon-based, package-less, fine-pitch, highly scalable, heterogeneous integration platform for wafer-scale systems. In this technology, unpackaged dielets are assembled on the Si-IF at small inter-dielet spacings (≤100 �m) using fine-pitch (≤10 �m) die-to-substrate interconnects. A novel assembly process using a solder-less direct metal-metal (gold-gold and copper-copper) thermal compression bonding was developed. Using this process, sub-10 �m pitch interconnects with a low specific contact resistance of ≤0.7 Ω-�m2 were successfully demonstrated. Because of the tightly packed Si-IF assembly, the communication links between the neighboring dies are short (≤500 �m) with low loss (≤2 dB), comparable to on-chip connections. Consequently, simple buffers can transfer data between dies using a Simple Universal Parallel intERface for chips (SuperCHIPS) at low latency (<30 ps), low energy per bit (≤0.03 pJ/b), and high data-rates (up to 10 Gbps/link), corresponding to an aggregate bandwidth up to 8 Tbps/mm. The benefits of the SuperCHIPS protocol were experimentally demonstrated to provide 5-90X higher data-bandwidth, 8-30X lower latency, and 5-40X lower energy per bit compared to existing integration schemes. This dissertation addresses the assembly technology and communication protocols of the Si-IF technology
Oral hygiene home care practices and cardiovascular disease mortality: a cohort study
PURPOSE: The objective of this study was to examine the association between oral hygiene home care habits and cardiovascular (CVD) mortality.
METHODS AND MATERIALS: This study involved the secondary analysis of data from an 18 year follow up prospective cohort study of 506 participants with approximately 50.6% of them having CVD. Logistic regression model was used to compare their exposure OH scores, which includes brushing, flossing, use of mouthwash and electronic tooth brush, and were regressed to observed outcome, in relation to CVD mortality.
RESULTS: In the multiple regression model a significant association was observed between OH scores and cardiovascular disease (CVD) mortality (p = 0.004) as well as independent association with flossing in particular (p = 0.03).
Conclusion: Oral hygiene and oral health are key components to overall systemic health, and have an important impact on CVD outcome. Oral hygiene, home care flossing in particular, has an independent association in acting as a risk factor for CVD mortality
DO PRICES CONVERGE AMONG INDONESIAN CITIES? AN EMPIRICAL ANALYSIS
We investigate consumer price convergence for 82 Indonesian cities using monthly data from 2014 to 2019. To do so, we employ recent techniques of club convergence and weak sigma convergence. The results reveal, first, consumer price divergence, implying price rigidities across the cities. Second, we find four clubs, suggesting that Indonesian cities converge along four unique transition paths. Third, we find weak evidence of consumer price convergence, suggesting that prices among Indonesian cities adjust, but not freely. Policy should therefore consider unique convergence paths for each club to promote stronger consumer price convergence.We investigate consumer price convergence for 82 Indonesian cities using monthly data from 2014 to 2019. To do so, we employ recent techniques of club convergence and weak sigma convergence. The results reveal, first, consumer price divergence, implying price rigidities across the cities. Second, we find four clubs, suggesting that Indonesian cities converge along four unique transition paths. Third, we find weak evidence of consumer price convergence, suggesting that prices among Indonesian cities adjust, but not freely. Policy should therefore consider unique convergence paths for each club to promote stronger consumer price convergence
Business Analytics Using Predictive Algorithms
In today's data-driven business landscape, organizations strive to extract actionable insights and make informed decisions using their vast data. Business analytics, combining data analysis, statistical modeling, and predictive algorithms, is crucial for transforming raw data into meaningful information. However, there are gaps in the field, such as limited industry focus, algorithm comparison, and data quality challenges. This work aims to address these gaps by demonstrating how predictive algorithms can be applied across business domains for pattern identification, trend forecasting, and accurate predictions. The report focuses on sales forecasting and topic modeling, comparing the performance of various algorithms including Linear Regression, Random Forest Regression, XGBoost, LSTMs, and ARIMA. It emphasizes the importance of data preprocessing, feature selection, and model evaluation for reliable sales forecasts, while utilizing S-BERT, UMAP, and HDBScan unsupervised algorithms for extracting valuable insights from unstructured textual data
Transformer Parameters Monitoring System using MATLAB Simulink
Transformer is an important component of an electrical distribution system. Hence it is important to monitor transformers for problems before faults occur. This system is about design and implementation of embedded system to monitor and record key parameters of a distribution transformer like load currents,voltage and temperature. It is installed at the distribution transformer site and the above parameters are recorded using the analog to digital converter (ADC) of the embedded system. The obtained parameters are processed and recorded in the system memory. If any abnormality or an emergency situation occurs the system takes immediate action to avoid it. This system will help the transformers to operate smoothly and identify problems before any failure. proposed system is low cost, easy to use capable of monitoring and displaying data using matlab[1,6]
Desarrollo y evaluación de nanopartÃculas cargadas de Deferasirox para el tratamiento del cáncer de mama: evaluación in-vitro y estudio de lÃnea celular
Introduction: The aim of the present study was to study the potential efficacy of antitumor activity of nanoparticles loaded with Deferasirox In the current research work, nanoparticle loaded with Deferasirox were developed and evaluated to study its efficacy using breast cancer cell line. Nanoparticles of Deferasirox were prepared by solvent evaporation method using EthocelTM as a polymer and Kolliphor® P 188 as a surfactant. 23 factorial design used with concentration of polymer, concentration of surfactant and rpm as independent variables and percentage of entrapment efficiency and percentage of drug release as dependent variables. All formulations were prepared and evaluated for particle size, spectral studies, thermal studies, drug entrapment efficiency and in-vitro drug dissolution studies. In-vitro cell viability study on breast cancer cell line (MCF-7) was performed by MTT assay Developed nanoparticles possess the particle size 428.3 nm and PDI 0.626. Optimized formulation showed 82.62±1.04 maximum drug release after 6 h in a controlled manner and entrapment efficiency 72.64±0.24. The FTIR spectral studies and DSC thermogram indicated that there was no interaction between the drug and polymers used. Thus, Deferasirox nanoparticle formulation showed the anti-tumoral activity against human breast cancer cell line (MCF7) as per outcome of cell line study Nanoparticles of Deferasirox were stable and could be promising drug delivery for cancerous cells.Introducción: El objetivo del presente estudio fue estudiar la eficacia potencial de la actividad antitumoral de nanopartÃculas cargadas con Deferasirox En el trabajo de investigación actual, se desarrollaron y evaluaron nanopartÃculas cargadas con Deferasirox para estudiar su eficacia utilizando una lÃnea celular de cáncer de mama. Las nanopartÃculas de Deferasirox se prepararon mediante el método de evaporación del disolvente usando EthocelTM como polÃmero y Kolliphor® P 188 como surfactante.23 diseño factorial usado con concentración de polÃmero, concentración de surfactante y rpm como variables independientes y porcentaje de eficiencia de atrapamiento y porcentaje de liberación de fármaco como variables dependientes. Las 9 formulaciones se prepararon y evaluaron en cuanto al tamaño de partÃcula, estudios espectrales, estudios térmicos, eficacia de atrapamiento de fármacos y estudios de disolución de fármacos in-vitro. El estudio de viabilidad celular in-vitro en la lÃnea celular de cáncer de mama (MCF-7) se realizó mediante un ensayo MTT.
Resultados: Las nanopartÃculas desarrolladas poseen un tamaño de partÃcula de 428,3 nm y un PDI de 0,626. La formulación optimizada mostró una liberación máxima de fármaco de 82,62 ± 1,04 después de 6 h de forma controlada y una eficiencia de atrapamiento de 72,64 ± 0,24. Los estudios espectrales FTIR y el termograma DSC indicaron que no hubo interacción entre el fármaco y los polÃmeros utilizados. Por lo tanto, la formulación de nanopartÃculas de Deferasirox mostró actividad antitumoral contra la lÃnea celular de cáncer de mama humano (MCF7) según el resultado del estudio de la lÃnea celular las nanopartÃculas de deferasirox fueron estables y podrÃan ser prometedoras para la administración de fármacos a las células cancerosas
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