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The current investigation emphasizes the association among views of justice (across all three dimensions) and organizational citizenship behavior, as well as any potential mediating impact of job satisfaction and knowledge sharing. This investigation looks at the three aspects of justice perceptions. Data were obtained from 304 workers in Karachi's service industry utilizing cross-sectional surveys and quantitative techniques. Smart Pls 3 was applied for examining the data, and the results indicated that the relationship between the sense of justice and citizenship behavior is mediated by job satisfaction, but that knowledge sharing does not mediate within them. The research demonstrates that OJ and OCB have a substantial and favorable association and that OCB is profoundly affected by each justice in organizations and job satisfaction. On the other hand, the examination has constraints mainly because it only explores the impact of two mediators on OCB and three organizational justice dimensions. Data collection relied on convenience sampling of workers from service-providing firms in Karachi, and the study did not consider the longitudinal effect due to time constraints. Future research can delve deeper into the relationship between these variables by incorporating demographic factors in testing models, examining multiple contributing factors to job satisfaction, and including additional variables in the analysis for a comprehensive understanding of OCB, particularly in the manufacturing industry. Conducting the study in different cities and regions in Pakistan can also broaden the view of the population's perceptions of justice and OCB. This study addresses the pressing need to address issues such as organizational justice and how they can be tackled within the vicinity of work.

This study explores the relationship between Environmental Performance with Green human resource practices in Pharmaceutical Companies, in Karachi, Pakistan. However, no study has charted employee commitment toward a sustainable environment and gone over the literature. Moreover, culture also plays an important role in Environmental performance, and it has also not been addressed previously with this framework. Therefore, this research study intends to assess the mediating impact of employee commitment towards the relationship between Green HRM and Employee Performance, moderating the impact of Culture. To select the samples for the statistical tool, the Convenience sampling method was used. This study is based on the quantitative approach in a single sector. The findings from the structural analysis show that Green recruitment and selection towards Environmental performance demonstrates less influence on the employees to commit towards green environmental activities as compared to green recruitment and training. Furthermore, it’s determined that the moderating role of culture has no impact in this framework. Overall findings approach the level of understanding of the following framework for the achievement of a sustainable environment through green HR practices. Discussions and limitations for future research are provided in concluding the study.

The main purpose of this research is to examine the influence of Talent management on Job performance. This study also aims to assess the mediating role of employee engagement and moderating role of Talent proactive behavior on the relationship between talent management and job performance.This research follows the philosophy of positivism. A deductive approach is implied and the research design is explanatory. Convenient sampling of non-probability techniques was used to select the sample. A total of 300 survey questionnaires were distributed in Karachi to employees working in different industries. Smart PLS 3 was used to analyze all hypotheses through the structural model and measurement model.The results determined that Employee Engagement, Talent management is likely to have a favorable influence on Job Performance The moderation analysis was done representing Talent Proactive Behavior have a significantly positive impact on the relationship between Talent Management and Job Performance.

Purpose: The purpose of this research is to identify the underlying factors of impulsive buying behavior that would impact consumers’ buying behavior and eventually their purchase intentions. Methodology: This research is based on the philosophy of positivism and employs a quantitative examination. In order to reach to our target market, we have used convenience sampling (non-probability sampling) and tried to gather the data in the original shopping environment i.e. a survey in shopping malls. A sample of 400 was gathered and analyzed. The SPSS version 20 is used for data analysis. Findings: Results of this study show that a consumer’s mood has a significant impact on buying as it can trigger impulse behavior in consumers. Person situations can also influence impulse buying for example time, money and the fear of missing out can all trigger impulse buying. Store layout can also trigger that unplanned purchase which means store lighting, the music of the store and ambiance may affect the purchasing. Product promotion has an impact on spontaneous purchase which indicates that free coupons, discounts and free delivery are offered to attract the customer to a sudden purchase. Product design, packaging, color and labeling indicate a positive and significant impact on impulse buying. However, materialism indicates an insignificant impact on impulse buying. Contribution to literature: This research is positively contributing to or suggesting that practitioners or sellers better understand the intrinsic factors influencing customers ’purchase intentions in the cosmetic industry.

In this paper, a compact highly selective UWB bandpass filter is designed. The detailed analysis is provided for the design procedure where, Chebyshev type filtering response is extracted using even-odd mode analysis. The presented UWB bandpass filter consists of two 90o parallel coupled lines attached to a 270o step impedance resonator (SIR). In this configuration, six transmission poles are achieved in the passband. The step impedance resonator provides compactness as well as suppression of spurious resonance at high-frequency side. To validate the proposed design, a microstrip based fabrication is done on Roger Duroid 5880. The simulated and measured results are well correlated.

Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Nocturnal polysomnography (NPSG) is the traditional method to detect sleep apnea but it is costly and inconvenient. Research directions are turning towards signal processing based sleep apnea detection. This study focuses on a simple, fast and memory efficient method for detection of sleep apnea using Electrocardiogram (ECG) data from MIT online database. Discrete wavelet packet transform (DWPT) has been employed on RRI intervals (RRI), in band of interest (FOI) to highlight the frequency pattern differences in normal and abnormal cases. Cases based classification is 100% accurate.

Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Patient faces epochs of less or completely vanished respiratory cycles for more then 15–20 seconds. Traditional methods to detect the ailments are troublesome both in terms of finance and physical routine. This study focuses the effects of sleep apnea on heart rate. MIT-BIH sleep apnea database has been deployed. RR intervals have been derived from ECG data and Discrete Wavelet Packet Transform (DWPT) has been employed to highlight the differences in normal and abnormal cases. An overall accuracy of 85% was achieved by this method.

Respiration is considered to be the most vital phenomenon of life. Problematic breathing, if untreated, may bring disastrous results. Sleep Apnea, being a silent killer, normally stays hidden from being diagnosed and the patient suffers the whole life till silently passing away. This study mainly focuses those patients who are totally unaware of the root cause of their frequent heart problems, restless sleep and anemia etc. For the research, we have utilized common tests like ECG and blood oxygen level and aimed to detect apnea in those patients who are being treated for other related problems but have hidden sleep apnea as one of the major cause of their frequent illness. On the other hand, for those patients who are suspected for sleep apnea, continuous and dynamic analysis of breathing ailment turns out to be a very irritating and expansive process as compared to continuous cardio and blood oxygen level analysis. We are following the path of ECG to mark breathing ailments along with the statistical analysis of different heart features followed by introduction of oxygen level analysis as one of the important factor. For this purpose we are using ECG, nasal breathing and Oxygen level data provided at MIT-BIH.