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Measuring AI Governance, AI Adoption and AI Strategy of Japanese Companies
Get PDFPurpose: This study aims to measure the level of AI governance and AI adoption among Japanese companies. Theoretical Framework: The research investigates the extent to which Japanese companies have implemented AI governance frameworks and the degree of AI adoption in their operations. The study also explores the relationship between AI governance, AI adoption, and AI strategy, providing insights into the factors that influence successful AI implementation. Design / Methodology / Approach: a survey questionnaire was administered to a representative sample of Japanese companies across various industries. The questionnaire included items that assessed the presence and effectiveness of AI governance practices within the organizations. Findings: a positive correlation was observed between AI governance and AI adoption. Companies with well-established AI governance frameworks tended to have higher levels of AI adoption, suggesting that effective governance practices play a crucial role in facilitating successful AI implementation. These findings provide valuable insights into the current state of AI governance and AI adoption among Japanese companies. Conclusion: The results can assist organizations in benchmarking their AI initiatives against industry standards and identifying areas for improvement. Policymakers and regulators can also utilize these findings to develop guidelines and frameworks that promote responsible and effective AI implementation
Effectiveness of animation distraction on pain response among preschool children during venipuncture in selected hospitals at Bagalkot
Get PDFBackground: Today’s society is complex and ever changing children need to grow and learn many things. Children are vulnerable to different forms of illness, hospitalization is one of the stressful event in child life . Venepuncture is an invasive procedure in hospital settings. Which may produce pain, anxiety, and discomfort in children. The animation destraction is one of the effective method which helps to reduce the pain stimuli. Objectives: To assess the pain perceived by the pre school children during venipuncture in both experimental and control group. Methods : A Quasi experimental study with sample of considered of 60 pre school children (30 sample in the control group ,30 sample in experimental group) selected by inclusion or exclusion of samples from the target population. FLACC SCALE was used to assess the pain level. The data was entered in the MS excel sheet and transffered to SPSS 18 for analysis . Result : The mean value of experimental group of pain score during venipuncture 2.8± 1.03 and control group pain score during venipuncture7.9±0.71.The mean pain score between the control group and experimental group 5.1,P<0.001. Conclusion : Mean score of control group is greater than mean score of experimental group. This study found that animation distraction is one of the effective nursing intervention in reducing the pain level among pre school children during venipuncture
Central Corneal Thickness in Patients with Dry Eye Disease
Get PDFBackground: Dry eye or Keratoconjunctivitis sicca is mainly due to decreased tears which causes eye visual disturbance and discomfort. Dry eye affects corneal thickness. Aims and Objectives: Aim of the study is to evaluate the effect of dry eye disease on CCT with age and gender match controls. Materials and Methods: Two Hundred and twenty subjects , 110 Patients are cases and 110 are controls. Subjects are from the Department of Ophthalmology Narayana Medical college and Hospital Out patient Department are included in the the study. Dry eye disease diagnosed with questionnaire , Tear film Break up test , Schirmer’s test and slit lap examination . CCT is measures with Optical Pachymetry. T test was used to determine the significane of difference between two means. Results: In our study, there were 140 female patients and 80 male patients. The CCT among cases was very low (534.19 ?m±30.05) compared to controls (562.7 ?m±45.56) and this difference was statistically significant (P<0.05. The difference in CCT among males between the two groups was statistically significant and it was highly significant among females. Conclusion: There is a significant decrease in CCT due to Dry eye Disease. Pachymetry for CCT estimation shall be included in the routine management of dry eye patients so that corneal thinning could be easy to identify earlier and treated earlie
Dry eye and corneal sensation following cataract surgery
Get PDFAim:To evaluate dry eye and corneal sensation changes after small incision cataract surgery and phacoemulsification. Materials and method :A crossectional study with 60 uncomplicated cataract patients between age 40 and 75yrs who had undergone surgery have been taken for the study. Dry eye and corneal sensation changes have been analysed after phacoemulsification and SICS by schirmer’s test and Cochet-Bonnet esthesiometer. The study was conducted over a period of 3 months in the ophthalmology department of saveetha medical college hospital ,Thandalam. Results :The study was conducted over a period of 90 days postoperatively the corneal sensation was found out to be decreased 35% in GroupA(SICS) and 30% in Group B(phaco emulsification) when compared to the cataract eye before cataract surgery. Out of the patients 8% showed dry eye symptoms with reduced value in Schirmer’s test and of which 10% belongs to Group
Numerical Modeling and Simulation of Rooftop Thermal Photovoltaic Chimney for Buildings' Electrical Energy Generation and Passive Cooling
No full textThe present study consisted mainly of making the thermal and dynamic analysis of the fluid flows in mixed convection in the chimney integrated into the building with an upper-covered horizontal hybrid thermal photovoltaic collector on a slab roof. The governing equations discretized by the finite difference method resulted in the systems of tri-diagonal algebraic equations, which were solved by Thomas' algorithm and Gauss Seidel's iterative method. Numerical solutions are presented for various geometrical aspect ratios, Rayleigh, and Reynolds numbers. The results are presented in terms of streamlines, isotherms, velocity, heat transfer intensity, and PV cells’ electrical efficiency versus the governing control parameters in detail
Design of a Potato Stick Cutting Machine: Improving Production Efficiency and Reducing Cutting Waste
No full textThe designed of potato stick-cutting machine is a tool for cutting potatoes into long pieces. This machine is capable of cutting potatoes quickly and consistently. The aim of this research is to design a potato stick-cutting machine that can increase production efficiency and reduce cutting waste. The advantage of this machine lies in its ability to produce uniform potato pieces quickly compared to manual cutting. The design stages start with a field review, literature study, determining the design, calculating all machine components, making working drawings, component manufacturing process, assembling components, and finally testing the machine. This machine consists of a frame, knife, pully, v belt, knife body, and electric motor with a capacity of 214.2 Kg/hour. This potato stick cutting machine has dimensions of length x width x height respectively of 810 x 400 x 385 mm. By using a ½ HP motor as the driving force. The way this machine works is that the motor rotation is forwarded to the gearbox to reduce the rotation using a type A belt with a length of 32 inches and a pulley diameter of 3 inches and 4 inches. The operation of this potato stick-cutting machine is very simple inserting the peeled potatoes into the funnel in a horizontal position. Turn on the motor by pressing the start button, then the piston/pusher will push the potato towards the knife
Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey
Get PDFEvery second, huge amount of data is generated and accumulated. This data could possibly be used in forecasting the future. Data mining uses this data and generates valuable information which can be transformed into relevant knowledge. Data mining is a technique of identifying outliers, behaviours, trends of patterns and relationship among huge datasets. It is hugely associated with the skill of decision making. The knowledge on a relevant subject will help in understanding future trends. This survey paper supplies the overview of data mining, the processes involved, the scope it can offer, its different techniques and multiple applications. Data mining is a great model of using data efficiently
Estimation of Shear Strength Parameters from Easily-Collected Soil Physical Properties Using Bagging Learning Technique
Get PDFShear strength parameters, including cohesion and friction angle, are among the most crucial factors in soil mechanics, playing a pivotal role in the design and construction of engineering projects. This paper aims to estimate these essential soil shear strength parameters using an ensemble learning model. To achieve this, the current study employs the Random Forest (RF) model incorporating various physical parameters of soil, such as density (?), saturation degree (Sr), liquid limit (LL), silt content (SC), clay content (CC) to predict cohesion (c), and friction angle (?). In order to assess the predictive performance of the used model, this research used various metrics, including the mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient (R2), to evaluate the model’s accuracy. The results reveal that RF performs superior predictive capabilities. Furthermore, the proposed model prediction ability was compared to the previous empirical equations. The comparison results indicated that the prediction capability of RF outperforms the previously developed equations
Some parameters of connective tissue metabolism in genital prolapse
No full textGenital prolapse (GP) is one of the most common gynecological problems, with an incidence of 28-39%. The problem is exacerbated by the fact that about 1/3 of all these patients are women of reproductive age. And with age, GP becomes progressive. We examined 63 women with the GP of reproductive age who applied to the 8th maternity complex in Tashkent. We found that in women, genital prolapse in 57.1% of cases is due to uCTD. It was found that the severity of GP development depended on the severity of uCTD. In women with GP and uCTD, the magnesium level was significantly lower by 1.8-2 times than in the group without pathology. In more than half (69.4%) of women with GP and uCTD, the excretion of OP was significant and exceeded the due value by more than 2 times. In almost a third (30.6%) of patients, the increase in this indicator was moderate and averaged 76.1±1.9 mg/day
Analysing Breast Cancer using Convolution Neural Network
Get PDFTechnological development of Soft Computing and Artificial Intelligence contributed a lot towards disease diagnosis in medical science. For providing solutions to the biological inspired problems in medical domain like Breast Cancer (BC) soft computing methods can give the flexible information. As per 2020 about 2 million women were detected with Breast Cancer (BC) creating most common malignancy among women worldwide. This rises both incidence and mortality has occurred during the past three decades due to evolving risk factors, improved cancer registries, and earlier diagnosis. There is a large number of risk factors for BC, some of which can be changed and others cannot. Eighty percent of people diagnosed with BC nowadays are over the age of fifty. Molecular subtype and developmental stage are both important in determining the likelihood of survival. When it comes to clinical presentation, behaviour and shape, invasive BC span a broad spectrum of tumours. In this paper, Convolution Neural Network (CNN) used to recognize the BC tumor because it is another sort of neural network that can discover key information in both image and time series data. By applying CNN on the 2023 RSNA (Radiological Society for North America) Screening Mammography Breast Cancer data we analysed how best CNN algorithm is for identifying breast cancer with accuracy and also tried to analyse at what age Breast Cancer is mostly occurred in women