Marketers’ And Sales People Perception About Marketing Ethics

Kajian ini di buat untuk mengenalpasti perhubungan nilai moral ahli pemasaran dan etika pemasaran dan juga pemboleh ubah agama sebagai pembolehubah kawalan (Moderator). This research was conducted to examine the relationship between the marketers’ values and marketing ethics moderated by their religious faith

Marketers’ Perception about Marketing Ethics: Evidence from Malaysia

This paper presents the results of a study that investigates the role of religiosity and perceived ethical values of marketers on marketing ethics, using the measure developed by Forsyth (1980). One dimension of the study is relativism and idealism affecting the importance of ethics moderated by religion. The study showed that people having high idealism have high ethics but having high relativism does not show that there is a decrease in ethics even both idealism and relativism were moderated by one’s strength of a religion. Overall, the study was found significant to as it and provides an understanding of marketing ethics in different cultures and company’s practice

Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective

Brain-computer interfaces (BCIs) systems traditionally use machine learning (ML) algorithms that require extensive signal processing and feature extraction. Deep learning (DL)-based convolutional neural networks (CNNs) recently achieved state-of-the-art electroencephalogram (EEG) signal classification accuracy. CNN models are complex and computationally intensive, making them difficult to port to edge devices for mobile and efficient BCI systems. For addressing the problem, a lightweight CNN architecture for efficient EEG signal classification is proposed. In the proposed model, a combination of a convolution layer for spatial feature extraction from the signal and a separable convolution layer to extract spatial features from each channel. For evaluation, the performance of the proposed model along with the other three models from the literature referred to as EEGNet, DeepConvNet, and EffNet on two different embedded devices, the Nvidia Jetson Xavier NX and Jetson Nano. The results of the Multivariant 2-way ANOVA (MANOVA) show a significant difference between the accuracies of ML and the proposed model. In a comparison of DL models, the proposed models, EEGNet, DeepConvNet, and EffNet, achieved 92.44 ± 4.30, 90.76 ± 4.06, 92.89 ± 4.23, and 81.69 ± 4.22 average accuracy with standard deviation, respectively. In terms of inference time, the proposed model performs better as compared to other models on both the Nvidia Jetson Xavier NX and Jetson Nano, achieving 1.9 sec and 16.1 sec, respectively. In the case of power consumption, the proposed model shows significant values on MANOVA (p < 0.05) on Jetson Nano and Xavier. Results show that the proposed model provides improved classification results with less power consumption and inference time on embedded platforms

Comparative Efficacy of Acacia Honey and Aloe Vera Gel on Healing of Induced Lacerated Wound in Rabbits

Wound is an injury as a result of trauma and break in the integrity of skin. For restoration of the continuity of skin, the disrupted skin and anatomical continuity should be managed appropriately for normal and efficient wound healing. Therefore, the study was designed to analyze the comparative efficacy of Acacia honey and Aloe vera gel on lacerated wound induced in rabbits. For this purpose, a total of 18 healthy male rabbits were selected and divided randomly into three groups i.e. Group A, B and C. Lacerated wounds were induced in these rabbits aseptically by sharp blunt scissor, post anesthetization with ketamine hydrochloride @40mg/kg body weight. Rabbits of group A were treated with commercially available Acacia honey applied topically twice daily, group B rabbits were treated with Aloe vera gel topically twice daily while group C served as control and treated with standard treatment pyodine. The efficacy of the treatments was evaluated in terms of wound contraction, wound healing, and tensile strength. Wound contraction was found higher in group A and B compared to group C and increased at day 10. Significant tensile strength was recorded in honey treated group. Healing time of group A and B was lower and statistically significant than the control.

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

We present Trieste, an open-source Python package for Bayesian optimization and active learning benefiting from the scalability and efficiency of TensorFlow. Our library enables the plug-and-play of popular TensorFlow-based models within sequential decision-making loops, e.g. Gaussian processes from GPflow or GPflux, or neural networks from Keras. This modular mindset is central to the package and extends to our acquisition functions and the internal dynamics of the decision-making loop, both of which can be tailored and extended by researchers or engineers when tackling custom use cases. Trieste is a research-friendly and production-ready toolkit backed by a comprehensive test suite, extensive documentation, and available at https://github.com/secondmind-labs/trieste

Canagliflozin and renal outcomes in type 2 diabetes and nephropathy

BACKGROUND Type 2 diabetes mellitus is the leading cause of kidney failure worldwide, but few effective long-term treatments are available. In cardiovascular trials of inhibitors of sodium–glucose cotransporter 2 (SGLT2), exploratory results have suggested that such drugs may improve renal outcomes in patients with type 2 diabetes. METHODS In this double-blind, randomized trial, we assigned patients with type 2 diabetes and albuminuric chronic kidney disease to receive canagliflozin, an oral SGLT2 inhibitor, at a dose of 100 mg daily or placebo. All the patients had an estimated glomerular filtration rate (GFR) of 30 to &lt;90 ml per minute per 1.73 m2 of body-surface area and albuminuria (ratio of albumin [mg] to creatinine [g], &gt;300 to 5000) and were treated with renin–angiotensin system blockade. The primary outcome was a composite of end-stage kidney disease (dialysis, transplantation, or a sustained estimated GFR of &lt;15 ml per minute per 1.73 m2), a doubling of the serum creatinine level, or death from renal or cardiovascular causes. Prespecified secondary outcomes were tested hierarchically. RESULTS The trial was stopped early after a planned interim analysis on the recommendation of the data and safety monitoring committee. At that time, 4401 patients had undergone randomization, with a median follow-up of 2.62 years. The relative risk of the primary outcome was 30% lower in the canagliflozin group than in the placebo group, with event rates of 43.2 and 61.2 per 1000 patient-years, respectively (hazard ratio, 0.70; 95% confidence interval [CI], 0.59 to 0.82; P=0.00001). The relative risk of the renal-specific composite of end-stage kidney disease, a doubling of the creatinine level, or death from renal causes was lower by 34% (hazard ratio, 0.66; 95% CI, 0.53 to 0.81; P&lt;0.001), and the relative risk of end-stage kidney disease was lower by 32% (hazard ratio, 0.68; 95% CI, 0.54 to 0.86; P=0.002). The canagliflozin group also had a lower risk of cardiovascular death, myocardial infarction, or stroke (hazard ratio, 0.80; 95% CI, 0.67 to 0.95; P=0.01) and hospitalization for heart failure (hazard ratio, 0.61; 95% CI, 0.47 to 0.80; P&lt;0.001). There were no significant differences in rates of amputation or fracture. CONCLUSIONS In patients with type 2 diabetes and kidney disease, the risk of kidney failure and cardiovascular events was lower in the canagliflozin group than in the placebo group at a median follow-up of 2.62 years

Comprehensive survey on Big Data Privacy Protection

In recent years, the ever-mounting problem of Internet phishing has been threatening the secure propagation of sensitive data over the web, thereby resulting in either outright decline of data distribution or inaccurate data distribution from several data providers. Therefore, user privacy has evolved into a critical issue in various data mining operations. User privacy has turned out to be a foremost criterion for allowing the transfer of con�dential information. The intense surge in storing the personal data of customers (i.e., big data) has resulted in a new research area, which is referred to as privacy-preserving data mining (PPDM). A key issue of PPDM is how to manipulate data using a speci�c approach to enable the development of a good data mining model on modi�ed data, thereby meeting a speci�ed privacy need with minimum loss of information for the intended data analysis task. The current review study aims to utilize the tasks of data mining operations without risking the security of individuals' sensitive information, particularly at the record level. To this end, PPDM techniques are reviewed and classi�ed using various approaches for data modi�cation. Furthermore, a critical comparative analysis is performed for the advantages and drawbacks of PPDM techniques. This review study also elaborates on the existing challenges and unresolved issues in PPDM

Serum enzymes activities in Plasmodium falciparum infection in Southern Pakistan

Objective: Serum levels of lactate dehydrogenase (LDH),aspartate aminotranferase (AST), alanine aminotransferase(ALT), and alkaline phosphatase (ALP) were assessed todetermine the liver functions of patients infected withPlasmodium falciparum. The enzyme activities were assessedin 60 malarial patients and a control group of 44 people.Materials and Methods: The data for the study was collectedfrom the survey conducted from Liaquat University of medicaland health sciences Hospital, Hyderabad, Pakaistan. Sample of60 patients aged between 20 and 50 years were collected. Acontrol group of 44 healthy individual adults was also assessedfor comparative purposes. All the malaria patients who visitedthe OPD during the study period enrolled in the study.Results: The LDH activity in male patients was found to be674.89 ± 33.354 IU/L. This is above the control LDH activity of296.59 ± 14.476 IU/L. Similarly, in female patients, the serumLDH activity of 580.25 ± 24.507 IU/L is over twice the controlfemale serum LDH activity of 302.18 ± 18.082 IU/L. Furtherone-way anova test was performed to find any significance ininfected and control male and female.Conclusion: Hepatic dysfunction was found to be associated toP. falciparum malaria infection