Does corporate social responsibility and green product innovation boost organizational performance? a moderated mediation model of competitive advantage and green trust

The study contemplates the impact of corporate social responsibility (CSR) and green product innovation on organizational performance while considering the moderating role of competitive advantage and mediating role of green trust. Data have been accumulated through a structured questionnaire while distributing 259 questionnaires among employees working in the Pakistani small and medium-sized enterprises (SMEs) companies. In this study, we have conducted reliability, validity, discriminant validity, and structural modeling analysis by using SPSS and Smart PLS for data analysis. The results have identified a significant and positive impact of CSR and green product innovation on organizational performance. Remarkably, green product innovation positively influences competitive advantage. Competitive advantage mediates the relationship between corporate social responsibility, green product innovation, and organizational performance. Further, this study has filled the lacuna of extant literature while analyzing the green trust moderating role between product innovation and organizational performance

Compare the Level of Satisfaction Among Smart Phone and Traditional Hearing Aids Users

Hearing is crucial for human life, it undertakes a important job in dissertation and linguistic development, which is the fundamental device for the advancement of human correspondence. People with hearing impedance may endure extreme misfortune in their social, mental and proficient lives, dread, misery, disengagement and further more family strains as a result of the absence of consideration influencing those with hearing disorders.  Objective: To compare the level of Satisfaction between smart phone hearing aids and traditional hearing aids users.  Methods: Cross-sectional study was conducted among Hearing aids users with smart phone hearing aids and traditional hearing aids using purposive sampling technique .SADL (Satisfaction with amplification in daily life) was used to measure the satisfaction level between smart phone hearing aids users and traditional hearing aids users.100 applicants by moderate to severe senserineural hearing loss of age range from 18 years to 35 years recommended for hearing aids fitting were included in this research by their consent. Data for this research was collected from Sialkot, Lahore, Narowal, Gujranwala, Pakistan. The data of 100 participants were analyzed through SPSS version 25.O and P-value less than 0.05was considered significant.  Results: A total number of 100 participants were included under which there were 50 males and 50 females.. Out of 100, 53(53%) participants belong to age group of (26+35) years and 47(47%) participants belong to age group of (18+26) years. The participants who were using traditional hearing aids, there the level of satisfaction was 48.0±3.915 and the level of satisfaction in the participants who were using smart phone hearing aids was 53.95±4.17. Smart phone hearing aids users were more satisfied than traditional hearing aids users. Conclusion: It was concluded that smart phone hearing aids users have more satisfaction level as compare to traditional hearing aids users. Keywords: Audiologist, Audible range, Hearing loss, Smart phone Hearing aids, Traditional hearing aids. DOI: 10.7176/JHMN/69-05 Publication date: December 31st 201

Semiotic Approach Towards Analyzing TV Advertisements: A Critical Discourse Analysis

AbstractPurpose - This research aims to uncover the ideologies and ethical perspectives behind electronic advertisements shown in Pakistan. The study examines the role of media adverts with an emphasis on stereotypic gender representation and spread of distorted information in shaping the minds of consumers through symbolic images and visual content. Design/methodology/approach - The current study is based on Peirce’s Semiotic Theory in 1860s, which analyzes the signs and visuals in mainstream television advertisements and unravel the social or cultural contexts underlying advertising discourse. Grounded in the theoretical framework of critical interpretation of electronic media, advertisements were interpreted using Semiotics and visuals features. The data for this study consists of three selected commercial broadcasts chosen randomly from all commercials aired on Pakistan’s most viewed TV channels (ARY, PTV, Geo, and Express). Lastly, Critical Discourse Analysis (CDA) has been used to critically examine TV advertisements to explore that how advertisers construct ideologies about gender stereotypes through signs, icons, and symbols. Findings – The findings revealed that electronic advertisements mostly represent gender roles stereotyping and promote unethical values against Islamic ideologies in Pakistan. Through the lens of Critical Discourse, it was found that advertisement’s content and symbols create meanings and convey the message with false narratives to consumers violating the ethical code of advertisements under the Pakistan Electronic Media Regulatory Authority (PEMRA) Pakistan. Originality/ value - The media revolution unfolds severe issues like women's objectification, ultra-modern culture, and misrepresentation of Islamic values. To date, many researchers have investigated the influence of advertisements on consumers in Western countries, but the Critical Semiotic Analysis of TV advertisements in complying with Islamic ideologies is never studied in Pakistan’s context. Practical Implications - The outcomes of this study will help advertising firms, Policymakers, and PEMRA by providing them with deep insights and knowledge about the perception of consumers and helping them to take strict measures to avoid anti-Islamic content that creates harm to Islamic values and civilization

<em>Citrus</em>: An Overview of Food Uses and Health Benefits

Citrus species is a category of fruit that contains a variety of bioactive components throughout the plant. Citrus fruits (and items made from them) are among the most widely eaten fruits in the world, and their supply continues to increase. Oranges, pomelos, limes, tangelos, mandarins, lemons, kumquats, grapefruits, and other Citrus fruits are among them. They are frequently employed in the culinary, cosmetics, and pharmaceutical sectors due to their fragrance and taste. Vitamin C, pectin, limonene, phenolics, iso-limonene, flavanones, and nonanal are the main bioactive components present, and they provide a variety of health advantages. Pharmacological studies have shown that the fruit has numerous nutraceutical benefits, including a strong antioxidant, antidiabetic, anti-hypertensive, anticancerous, antibacterial, antifungal, antimicrobial, antihyperglycemic, and cardioprotective. It should also be highlighted that all Citrus fruits are an excellent source of minerals, which are required to maintain water and electrolyte balance. Citrus fruit-eating has been linked to a range of health advantages in recent research. This chapter presents an overview of the nutritional aspects of Citrus as well as its health benefits, which will be detailed

Frequency of Diabetic and Non-diabetic patients having fetal anomalies at 3rd trimester using ultrasound

Background: Pre-gestational or gestational diabetes in pregnancy is now more common among pregnant mothers as a result of the obesity pandemic. Objective: To determine frequency of diabetic and non-diabetic patients having fetal anomalies at 3rd trimester using ultrasound. Methodology: Descriptive study was conducted at radiology department Chughtai Lab, Lahore. About 250 Diabetic and Non-Diabetic pregnant women of all age were included in this study. Consecutive sampling technique was used Data was analyzed by SSPS version 24.0. All quantitative variables were reported in mean ± S.D were presented in frequency and percentage and bar charts were presented. Results: The mean age of 250 participants was 28±5.1 with minimum age of 15 years and maximum age of 45 years. Out of 250 participants, 210(84%) had no Gestational Diabetes Mellitus and 40(16%) had Gestational Diabetes Mellitus. Out of 250 patients, 204(81.6%) had adequate Amniotic Fluid Index value, 27(10.8%) had Oligohydramnios and 19(7.6%) had Polyhydramnios. In our study 16(6.4%) diabetic patients and 26(10.4%) non-diabetic patients have anomalies. Conclusion: The study concluded that frequency of anomalies doesn’t depend on patients being diabetic or non-diabetic. As in our study diabetic patients are lesser anomalies than the non-diabetic patients. &nbsp

CloudUP&#x2014;Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention

In recent years, there has been a noticeable increase in the inclination towards digitizing our surroundings, encompassing various domains such as virtual reality, cultural heritage conservation, and architectural representation. The computation of high-resolution three-dimensional (3D) colored point clouds and meshes holds significant importance for such applications. However, traditional structure-from-motion (SfM) techniques may produce sparse 3D point clouds when low-resolution input images are used, resulting in a low-quality mesh generation. Traditional point cloud upsampling techniques that improve the 3D point cloud resolution typically work on LiDAR-generated point clouds devoid of color information. Furthermore, most learned point cloud upsampling techniques compute graph features that capture local information by identifying a local neighborhood in a limited region around a point and hence may result in sub-optimal representation. To address these limitations, we propose CloudUP, a colored 3D point cloud upsampling approach that utilizes multi-scale spatial attention. Specifically, we design a novel Multi-Scale Point-Cloud Feature Extractor (MPFE) by employing attention across the scales to extract point cloud features and effectively capture 3D shape information of the points relative to its neighborhood. We further extract spatial neighborhood-guided color features used to predict the color for the upsampled points. The color prediction is trained with a content-preserving loss function that aims to maintain intricate details and vivid colors. Our color refinement pipeline is guided by a vibrant colored dataset (collected by us) to assist in preserving the 3D contents