Miracle-dz/UniFAR-FTUs huggingface dataset:
THE CHATTER VIBRATIONS IN METAL CUTTING-THEORETICAL APPROACH UDC : 621 . 91

In this paper an appearance of chatter vibrations in metal cutting is investigated. The model of the system is based on the predictive machine theory of shear zone model. Since the dynamic cutting force is strongly influenced by the variations of cutting parameters, the objective of present paper is to consider the variations of rake angle and shear angle during feeding rate change, and to propose modified nonlinear model of cutting force and, consequently, nonlinear analytical model of chatter. By analysing the analytical solution of the governing equation three kinds of oscillatory motion are found. For each of them the variations of cutting force component (thrust force) and rake angle as a function of time are obtained numerically.
improves blood lipid metabolism, liver function, and atherosclerosis by constraining the TGF-β/Smad signaling pathway in rats with hyperlipidemia

1,25(OH) 2 D 3 has already been reported to function in some diseases. However, its role in hyperlipi- demia (HLP) remains unknown. This study aims to investigate the effect of 1,25(OH) 2 D 3 on HLP rats. Rat models were established by high-fat diet feeding, perfusion of different doses of 1,25-(OH) 2 D 3 and injection of TGF- β 1 siRNA. Whole blood viscosity, plasma viscosity, hematocrit, and erythrocyte aggregation index were detected, together with levels of biochemical indexes, 6-keto-PGF1 α , and TXB2 in serum. Levels of oxidative stress indexes and inflammatory factors in serum and liver tissues were determined. TGF- β 1 and Smad3 expression in serum, liver tissues, and aorta was detected. 1,25(OH) 2 D 3 lowered HLP-induced rise of whole blood viscosity, red blood cell aggregation index, plasma viscosity, and hematocrit, TC, TG, LDL-C, apoB, ALT, AST, TXB2, IL-1 β , TNF- α , and increased HLP-induced decrease of HDL-C, apoAI, 6-keto-PGF1 α , SOD, GSH-Px, CAT, and T-AOC. TGF- 1 and Smad3 expression in serum, liver tissue, and aorta of 1,25(OH) 2 D 3 -treated rats reduced. 1,25(OH) 2 D 3 dose and inhibited TGF- β /Smad signaling pathway alleviated lipid metabolism, liver function, and atherosclerotic injury in HLP rats. Our study found that 1,25(OH) 2 D 3 improves blood lipid metabolism, liver function, and atherosclerosis injury by constraining the TGF- β /Smad signaling pathway in rats with HLP. whole blood viscosity, plasma viscosity and hematocrit of HLP rats, and the maximum decrease occurred in H-1,25(OH) 2 D 3 rats ( P < 0.05); the same parameters were even lower in rats with H-1,25(OH) 2 D 3 + TGF- β 1 siRNA ( P < 0.05). The results illustrated that a certain dose of 1,25(OH) 2 D 3 can reduce the whole blood viscosity, erythrocyte aggregation index, plasma viscosity and hematocrit of HLP rats, so with the increase of 1,25(OH) 2 D 3 dose within a certain range, it is more effective in the treatment of rats with HLP, and inactivation of the TGF- β /Smad pathway works with H-1,25(OH) 2 D 3 to diminish rat ’ s whole blood viscosity, erythrocyte aggregation plasma hematocrit
Cyber Insurance Premium Setting for Multi-Site Companies under Risk Correlation

Correlation in cyber risk represents an additional source of concern for utility and industrial infrastructures, where risks may be introduced by connected systems. A major means of reducing risk is to transfer it through insurance. In this paper, we consider a company which has peripheral branches in addition to its headquarters, where risk correlation is present between all of its sites and insurance is adopted to hedge against economic losses. We employ the expected utility principle (which leads to the well-known mean variance premium formula) to derive the insurance premium under risk correlation under several risk scenarios. Under a first-order approximation, a quasi-linear relationship between the premium and the two major risk factors (the number of branches and the risk correlation coefficient) is determined.
Static and Dynamic Analysis of 1 220 mm Steel Last Stage Blade for Steam Turbine

The 3 000 rpm 1 220 mm blade for a steam turbine was developed with application of new design features. The last stage moving blade is designed with an integral cover, a mid-span tie-boss connection and a fir-tree dovetail. With this configuration the blades are continuously coupled by the blade untwist due to the centrifugal force when the blades rotate at high speed, so that vibration control and increased structural damping are provided. Blade was tuned in order to eigen-frequencies were safely far from possible excitation. Because of connection members, the number of the resonant vibration modes can be reduced by virtue of the vibration characteristics of the circumferentially continuous blades. The last stage airfoil was optimalized from view of minimalization of its centrifugal force. In order to develop the 3 000 rpm 1 220 mm blade, the advanced analysis methods to predict dynamics behavior of the bladed structure were applied. Coupled rotor-blade analysis was also aim of the attention. To validate calculated results the verification measurement such as rotational vibration tests was carried out in the high-speed test rig. Relation of the friction damping of the bladed structure on amount of excitation level was also monitored and evaluated. c © 2009 University of West Bohemia. All rights reserved.
Single-Lens Imaging Spectral Restoration Method Based on Gradient Prior Information Optimization

Single-lens imaging systems can capture spectral information, but they are affected by aberrations, defocusing, and other factors, leading to spectral data overlap. It is then necessary to perform restoration on overlapped spectral data. The restoration method should not only deblur image information, but also recover spectral information for each wavelength band. In other words, the restoration process needs to handle both spatial and spectral information in parallel while ensuring that neither is distorted. In this study, while considering the characteristics of capturing overlapped information in a single-lens imaging system, a spectrum restoration method based on gradient prior information optimization is proposed. This method is shown to achieve high-quality restoration of both images and spectra. The feasibility of this algorithm is demonstrated through simulation and experimental verification, which show that the restoration quality of spectra using the proposed algorithm is improved compared to that achieved using the MTV algorithm.
Desgin of On-line Monitoring Device for MOA ( Metal Oxide Arrestor ) Based on FPGA and C 8051 F 1

Monitoring of metal oxide surge arresters (MOA) due to aging, moisture and other components cause increased resistive current. Through a lot of practices, it has been proved that in the early days, MOA insulation damage and current increase is not obvious. The accurate working conditions of the MOA are also not obvious but it can reflect the aging or moisture of MOA. When the resistive current of the fundamental component increases, there is no increment in the harmonic components that is the general performance of a serious or moisture contamination. In the same way when the resistive current of harmonic components increases, the fundamental component is not increased and it is the general performance of aging. Therefore, this paper designed an experiment-based FPGA and C8051F-line monitoring device. This device uses resistive current as a detection target. The main monitoring parameters are the fundamental and peak value of resistive current, third harmonic content of the leakage current, phase angle difference and power consumption. Through laboratory tests, the device can be used with a network arrester line monitoring, maintenance, reduce the economic losses caused by power outages and improve the distribution network reliability. Copyright © 2014 IFSA Publishing, S. L.
Backstepping nonlinear control of a five-phase PMSG aerogenerator linked to a Vienna rectifier

The objective of this study is to create a nonlinear control system designed for a Vienna converter-connected five-phase aerogenerator. The control strategy will be based on the space vector pulse width modulation (SVPWM) technique, which is more suitable for controlling rectifier switches. Due to the higher complexity of the five-phase permanent magnet synchronous generator (PMSG) machine than the conventional three-phase generator, it poses a difficult control problem requiring an advanced mathematical model. Integrating an aerogenera tor with a Vienna converter enhances efficiency and power quality. The primary purpose of this study is to develop a nonlinear controller utilizing the retrogres sion control strategy alongside the SVPWM approach. Furthermore, a speed optimizer based on an artificial neural network is implemented to improve the system’s overall efficiency and meet multiple objectives. The proposed control system improves the overall operation and efficiency of Vienna’s integrated wind turbine and rectifier system
IoT-based detection and support technology of surrounding rock in high-stress region

In order to obtain the stability and stress data of the surrounding rock mass in the deep region of the mine, a reasonable support scheme and support parameters are adopted to reduce the degree of roadway deformation and damage in the deep region and reduce the cost of roadway maintenance. There are local weak and weak tectonic belts such as cracks and also joints in the surrounding rock in the deep area of the mine. At the same time, after the excavation, cracks and fracture zones will be then further generated, affecting the continuous stability of the roadway. It is necessary to detect and control the structure and damage of surrounding rock so as to adopt targeted support schemes.
1 0 1 IN VITRO ANALYSIS OF ANTIBACTERIAL ACTIVITY OF VITAMIN C ALONE AND IN COMBINATION WITH ANTIBIOTICS ON GRAM POSITIVE ROD ISOLATED FROM SOIL OF A DUMPING SITE OF KOLKATA

In today’s fast moving world antibiotics resistance from soil borne infections isa major concern for us. So, medical practitioners have gained interest in treating infections with antioxidants containing dietary supplements, such as Vitamin C (Ascorbic acid) solely or in combination with antibiotics. In our investigation of soil samples containing various wastes showed the presence of Gram positive rods and 16s rDNA characterization confirmed the organism as Bacillus cereus strain KD125. In-vitro the antibiotic susceptibility test our isolate showed maximum sensitivity to Linezolid (LZ) and was found to be least sensitive or intermediate sensitive to Ampicillin (AMP). It is also found that Bacillus cereus strain KD125was sensitive to Vitamin C andin combination Vitamin C mostly decreased the antibacterial activity of Ampicillin (AMP), Linezolid (LZ), and Chloramphenicol (CHL) but had slightly increased the antibacterial activity of Azithromycin (AZT) and did not affect the antibacterial activity of LZ at higher concentration. This increase in antibacterial activity may be due to presence of flavonoids and phenolic present in Vitamin C. Moreover, it was also seen that observed LZ had maximum antibacterial activity in presence of Vitamin C. So, systematic use of Vitamin C alone or in combination can help to treat this food poisoning causing pathogen Bacillus cereus efficiently.
How Do the Perceived Barriers, Attitudes, and Knowledge of Grocery Store Personnel Affect Availability of Organic Food Products?

ii LIST OF TABLES. v INTRODUCTION. 1 LITERATURE REVIEW. 3 METHODOLOGY. 10 RESULTS. 15 DISCUSSION. 22 LIST OF REFERENCES. 27 APPENDICES. 32 VITA. 50
Are Seasonal Patterns Constant Over Time? A Test for Seasonal Stability

This paper introduces Lagrange multiplier tests of the null hypothesis of no unit roots at seasonal frequencies against the alternative of a unit root at either a single seasonal frequency or a set of seasonal frequencies. The tests complement those of D. Dickey, D. Hasza, and W. Fuller (1984) and S. Hylleberg, et al. (1990), which examine the null of seasonal unit roots. The authors derive an asymptotic distribution theory for the tests and investigate their size and power with a Monte Carlo exercise. Application of three sets of seasonal variables shows that, in most cases, seasonality is nonstationary.
The impact of violence on Venezuelan life expectancy and lifespan inequality

Abstract Background Venezuela is one of the most violent countries in the world. According to the United Nations, homicide rates in the country increased from 32.9 to 61.9 per 100 000 people between 2000 and 2014. This upsurge coincided with a slowdown in life expectancy improvements. We estimate mortality trends and quantify the impact of violence-related deaths and other causes of death on life expectancy and lifespan inequality in Venezuela. Methods Life tables were computed with corrected age-specific mortality rates from 1996 to 2013. From these, changes in life expectancy and lifespan inequality were decomposed by age and cause of death using a continuous-change model. Lifespan inequality, or variation in age at death, is measured by the standard deviation of the age-at-death distribution. Results From 1996 to 2013 in Venezuela, female life expectancy rose 3.57 [95% confidence interval (CI): 3.08–4.09] years [from 75.79 (75.98–76.10) to 79.36 (78.97–79.68)], and lifespan inequality fell 1.03 (–2.96 to 1.26) years [from 18.44 (18.01–19.00) to 17.41 (17.30–18.27)]. Male life expectancy increased 1.64 (1.09–2.25) years [from 69.36 (68.89–59.70) to 71.00 (70.53–71.39)], but lifespan inequality increased 0.95 (–0.80 to 2.89) years [from 20.70 (20.24–21.08) to 21.65 (21.34–22.12)]. If violence-related death rates had not risen over this period, male life expectancy would have increased an additional 1.55 years, and lifespan inequality would have declined slightly (–0.31 years). Conclusions As increases in violence-related deaths among young men (ages 15–39) have slowed gains in male life expectancy and increased lifespan inequality, Venezuelan males face more uncertainty about their age at death. There is an urgent need for more accurate mortality estimates in Venezuela.
Generation of a highly attenuated strain of Pseudomonas aeruginosa for commercial production of alginate

Alginate is an important polysaccharide that is commonly used as a gelling agent in foods, cosmetics and healthcare products. Currently, all alginate used commercially is extracted from brown seaweed. However, with environmental changes such as increasing ocean temperature and the increasing number of biotechnological uses of alginates with specific properties, there is an emerging need for more reliable and customizable sources of alginate. An alternative to seaweed for alginate production is Pseudomonas aeruginosa, a common Gram‐negative bacterium that can form alginate‐containing biofilms. However, P. aeruginosa is an opportunistic pathogen that can cause life‐threatening infections in immunocompromised patients. Therefore, we sought to engineer a non‐pathogenic P. aeruginosa strain that is safe for commercial production of alginate. Using a homologous recombination strategy, we sequentially deleted five key pathogenicity genes from the P. aeruginosa chromosome, resulting in the marker‐free strain PGN5. Intraperitoneal injection of mice with PGN5 resulted in 0% mortality, while injection with wild‐type P. aeruginosa resulted in 95% mortality, providing evidence that the systemic virulence of PGN5 is highly attenuated. Importantly, PGN5 produces large amounts of alginate in response to overexpression of MucE, an activator of alginate biosynthesis. The alginate produced by PGN5 is structurally identical to alginate produced by wild‐type P. aeruginosa, indicating that the alginate biosynthetic pathway remains functional in this modified strain. The genetic versatility of P. aeruginosa will allow us to further engineer PGN5 to produce alginates with specific chemical compositions and physical properties to meet different industrial and biomedical needs.
Dose Dependency of Iatrogenic Glucocorticoid Excess and Adrenal Insufficiency and Mortality: A Cohort Study in England

Abstract Context Adrenal insufficiency and Cushing syndrome are known adverse events of glucocorticoids. However, no population estimates of dose-related risks are available. Objective To investigate dose-related risks of adrenal dysfunction and death in adults with six chronic inflammatory diseases treated with oral glucocorticoids. Design and setting Retrospective, record-linkage, open-cohort study spanning primary and hospital care in England. Patients A total of 70,638 oral glucocorticoid users and 41,166 nonusers aged ≥18 years registered in 389 practices in 1998 to 2017. Main outcome measures Incidence rates and hazard ratios (HRs) of diagnosed adrenal dysfunction and death. Results During a median follow-up of 5.5 years, 183 patients had glucocorticoid-induced adrenal insufficiency and 248 had glucocorticoid-induced Cushing syndrome. A total of 22,317 (31.6%) and 7544 (18.3%) deaths occurred among glucocorticoid users and nonusers, respectively. The incidence of all outcomes increased with higher current daily and cumulative doses. For adrenal insufficiency, the increases in HRs were 1.07 (95% CI: 1.04 to 1.09) for every increase of 5 mg per day and 2.25 (95% CI: 2.15 to 2.35) per 1000 mg of cumulative prednisolone-equivalent dose over the past year. The respective increases in HRs for Cushing syndrome were 1.09 (95% CI: 1.08 to 1.11) and 2.31 (95% CI: 2.23 to 2.40) and for mortality 1.26 (95% CI: 2.24 to 1.28) and 2.05 (95% CI: 2.04 to 2.06). Conclusion We report a high glucocorticoid dose-dependent increased risk of adrenal adverse events and death. The low observed absolute risk of adrenal insufficiency highlights a potential lack of awareness and a need for increased physician and patient education about the risks of adrenal dysfunction induced by glucocorticoids.
Progressive sacroiliitis due to accessory sacroiliac joint mimicking ankylosing spondylitis

Rationale: An accessory sacroiliac (SI) joint usually has little clinical significance. However, severe arthritic changes can cause chronic buttock or low back pain and can be misdiagnosed as another disease presenting with sacroiliitis such as ankylosing spondylitis (AS). Patient concerns: A 33-year-old woman was diagnosed with AS due to chronic buttock pain and progressive sacroiliitis on plain X-ray and magnetic resonance imaging (MRI). Her buttock and low back pain gradually worsened despite proper treatment for AS. Diagnosis: Computed tomography revealed an accessory SI joint with arthritic changes. Interventions: Nonsteroidal anti-inflammatory drugs (NSAIDs) and restricted movement were prescribed. Outcomes: The symptoms were controlled with NSAIDs, rest, and restriction of excessive movement. The medication could be stopped after the pain subsided. Lessons: An accessory SI joint can be a cause of chronic back pain and can be misdiagnosed as AS with sacroiliitis when progressive arthritic changes are observed. Therefore, additional imaging studies other than conventional X-ray or MRI may be required for accurate diagnosis.
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets

Mixed datasets consist of both numeric and categorical attributes. Various k-means-based clustering algorithms have been developed for these datasets. Generally, these algorithms use random partition as a starting point, which tends to produce different clustering results for different runs. In this paper, we propose, initKmix, a novel algorithm for finding an initial partition for k-means-based clustering algorithms for mixed datasets. In the initKmix algorithm, a k-means-based clustering algorithm is run many times, and in each run, one of the attributes is used to create initial clusters for that run. The clustering results of various runs are combined to produce the initial partition. This initial partition is then used as a seed to a k-means-based clustering algorithm to cluster mixed data. Experiments with various categorical and mixed datasets showed that initKmix produced accurate and consistent results, and outperformed the random initial partition method and other state-of-the-art initialization methods. Experiments also showed that k-means-based clustering for mixed datasets with initKmix performed similar to or better than many state-of-the-art clustering algorithms for categorical and mixed datasets.
Interstitial spaces - a model for challenge and change.

This paper introduces the concept of interstitial spaces to examine the boundaries of science, science education, pedagogy, caring, and gender to discuss the different cultures teacher students meet during their education. Interstitial spaces exist between and within boundaries. These spaces are possible sites within a defined context (a discipline, a practice, a culture) that may be occupied by an actor/agent working as a “carrier” of different cultural practices, knowledge and theories. A “carrier” can use the interstitial space to influence and challenge a “new” context and thus loosen up boundaries, but can also by experiencing new cultures and developing new knowledge integrate these new views into future practices. Thus, interstitial spaces establish a context for a carrier to act in ways to transform and change the cultures of disciplines. On an individual level, instead of feelings of alienation, of not fitting into a culture, the model offers a carrier the position as someone who has the potential and possibility to invoke a change, and this can be empowering.
Grandparent Caregivers’ Resilience: Stress, Support, and Coping Predict Life Satisfaction

Objectives Do support and coping strategies moderate the link between stress and life satisfaction among grandparent caregivers? Background Grandparents raising grandchildren often experience stress, which may compromise their subjective well-being. Thus, it is important to understand the role of support and coping as protective or promotive factors in relation to grandparent caregivers’ resilience (i.e., life satisfaction). Methods Grandparent caregivers (N = 74) reported their daily hassles, life satisfaction, social support, and coping. Results These grandparent caregivers are a vulnerable population in terms of stress and limited social support and coping. Structural equation modeling supported direct, promotive effects of social support and coping on life satisfaction, but not moderation. Conclusion Despite high levels of stress, half of the grandparent caregivers were satisfied with their lives, which was explained by their social support and coping skills. Some grandparents who assume this role likely would benefit from interventions that promote social support and coping skills.