17 research outputs found
فکری جہتیں اورشاعر لاہوری ڈاکڑعلامہ محمد اقبالؒ : تحقیقی و تنقیدی جائزہ
No full textAbstarct:
Dr, Allama Muhammad Iqbal (1877.1938) Hakeem ul umaat is a Muslim thinker. His poetry is a reflection of the characteristics of the Muslim Ummah and practical explanations and priorities. Allama Muhammad Iqbal is called Hakeem.ul. umaat because in his thoughts a unique modern ideological diversity emerges with religious and mystical حکمی و عرفانی issues and linguistic paradoxes, which gives Iqbal a prominent position among poets. Kalam e Iqbal is completely and purest form of religious and mystical issues and revolutionary thoughts. In his thought, Iqbal has derived his philosophy of self-political, economic, civil, social, cultural, religious, educational and training variations from his spiritual and mystical insight. Generally. poets the original field of passion is limited to thinking, but the specialty of Iqbal, s speech is this, that in it , strategy and practical mysticism emerge in every aspect. Because in Kalam e Iqbal the wise points have been melted in the furnace of emotions and molded in to authenticity and passion, and such truths are revealed which are also felt and these views. But the extent of the process is also clear, In this article, the ruling and mystical issues of Hukmee and irfani , the philosopher, poet, have been discussed in the poetry of Iqbal Lahori , and the review of some important poems regarding the linguistic diversity of OWZAAN and BAHOOR has been taken in to consideration. Poet of Lahore has enlightened not only the indian sub.continent but also the muslim Ummah with fresh thoughts. What aspects of modern post neo demographic trends can be derived in Allama,s poetry? In this light of Quran and Hadith, Iqbal has shaped the moral and character of every person of every age. No doubt, Allama Iqbal ia a genius creature in Muslim Ummah.
Keywords: Characteristics, modern, ideological, diversity, religious, mystical, linguistic,
Paradoxes, revolutionary, spiritual, insight, molded, OWZAAN, BAHOOR, Enlightened, neo demographic, aspects
Leading the transition toward sustainability through digital capabilities and digital innovation: The role of employee characteristics
No full textAccording to the United Nations (UN), digital innovation and sustainability performance are key pathways to achieving the Sustainable Development Goals. However, existing research has often overlooked the roles of digital capability and orientation in driving digital innovation. This study employed Drucker’s productivity theory to examine the relationship between entrepreneurial leadership and digital innovation. Two studies were conducted on China’s information technology (IT) industry. Study 1 used a three-wave design (N = 299), while Study 2 used a two-wave design (N = 341). Results demonstrate a significant correlation between entrepreneurial leadership, digital innovation, and sustainability performance, highlighting the mediating roles of employee digital capability and digital orientation in the relationship between entrepreneurial leadership and digital innovation. This study contributes to sustainability research by exploring employee-based mediating factors. The findings enhance the understanding of how IT organizations can foster employee dedication and commitment to achieving higher levels of digital innovation and sustainability performance through entrepreneurial leadership, ultimately supporting the broader UN SDGs
Green transformational leadership theory and practice in Italian luxury hotels: towards environmental performance and green image
No full textPurpose: Drawing upon the natural resource-based view (NRBV) and social cognitive theory (SCT), the present study explores the role of green learning orientation (GLO) and green creativity (GC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the Italian hotel industry. The research further assesses environmental performance (EP) and corporate green image (CGI) as a resultant factor of GI.
Design/methodology/approach: Two studies were conducted in Italy to evaluate theoretical models with workers in the lodging industry. Study 1 employed a three-wave, two-week time-lagged design with a total sample size 303. Study 2 utilized a two-wave (four-week apart) design, with 349 participants using structural equation modelling.
Findings: The research findings emphasize that the enhancement of employees’ GLO and GC can be facilitated by providing GTL. This, in turn, may lead to the enhancement of GI, which improves the EP and CGI of a hotel.
Originality/value: The study comprehensively analyzes the previously unexamined relationships of employee-driven factors associated with GLO and GC. These factors are essential for promoting GI through GTL, ultimately enhancing EP and CGI. Therefore, it contributes by explaining previously unexplored employee and organizational factors into a unified model, utilizing time-lagged data, and enhancing the understanding of how organizations can elevate EP and CGI, particularly within the Italian hospitality sector
E-BANKING: A CASE STUDY OF ASKARI COMMERCIAL BANK PAKISTAN
No full textThis paper has covered the operational issues related to e-banking as well as customer’s perception on usage of e-banking a case study of Askari Bank, Pakistan. 40 staff members and four customers are selected as sample for this study. Both qualitative and quantitative methods are used to present the results. Descriptive statistics is applied to describe the demographic variables while for operational problems correlation was used. Finally cross case analysis present customers’ perception about e-banking practices. Analysis shows that customer is not ready to adopt new technology that why their satisfaction level with e-banking is low. Internet speed and government policies are not supportive for e-banking in Pakistan. Due to lack of trust on technology and low computer literacy rate, customer hesitates to adopt new technology. : In order to promote IT culture in Pakistan, government has to reduce the internet rate. to promote the benefits of e-banking on media so that more user get facilitated from e-banking services.E-banking, Internet, ATM, Online transaction, E-readiness, Technology Acceptance Models
Green transformational leadership theory and practice in Italian luxury hotels: toward environmental performance and green image
No full textPurposeDrawing upon the natural resource-based view (NRBV) and social cognitive theory (SCT), the present study explores the role of green learning orientation (GLO) and green creativity (GC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the Italian hotel industry. The research further assesses environmental performance (EP) and corporate green image (CGI) as a resultant factor of GI.Design/methodology/approachTwo studies were conducted in Italy to evaluate theoretical models with workers in the lodging industry. Study 1 employed a three-wave, two-week time-lagged design with a total sample size of 303. Study 2 utilized a two-wave (four-week apart) design, with 349 participants using structural equation modeling.FindingsThe research findings emphasize that the enhancement of employees’ GLO and GC can be facilitated by providing GTL. This, in turn, may lead to the enhancement of GI, which improves the EP and CGI of a hotel.Originality/valueThe study comprehensively analyzes the previously unexamined relationships of employee-driven factors associated with GLO and GC. These factors are essential for promoting GI through GTL, ultimately enhancing EP and CGI. Therefore, it contributes by explaining previously unexplored employee and organizational factors in a unified model, utilizing time-lagged data, and enhancing the understanding of how organizations can elevate EP and CGI, particularly within the Italian hospitality sector
Mitigation of chromium-induced phytotoxicity in 28-homobrassinolide treated Trigonella corniculata L. by modulation of oxidative biomarkers and antioxidant system
No full textChromium (Cr) is one of the toxic heavy metals that disturbs growth and physiological properties of plants. During the current study, Trigonella corniculata L. (Fenugreek) was exposed to different levels of Cr in potted soil. Chromium toxicity reduced fiber, ash, moisture, carbohydrate, protein, fats, and flavonoid content of T. corniculata. Considering the stress relieving effect of 28-homobrassinolide (28-HBR), seeds of T. corniculata were primed with different concentration of 28-HBR i.e., 0, 5, 10, and 20 µmol L−1. Application of 28-HBR reversed the toxic effect of Cr through improvement in activity of antioxidant enzymes like superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT). Conclusively, 10 µmol L−1 28-HBR increased Cr tolerance in T. corniculata seedlings due to reduction in oxidative stress markers. It is further proposed that 28-HBR is an effective stress ameliorant to relive plants from various abiotic stresse
Synthesis, molecular modelling and biological evaluation of tetrasubstituted thiazoles towards cholinesterase enzymes and cytotoxicity studies
No full textHardware-Centric Exploration of the Discrete Design Space in Transformer–LSTM Models for Wind Speed Prediction on Memory-Constrained Devices
No full textWind is one of the most important resources in the renewable energy basket. However, there are questions regarding wind as a sustainable solution, especially concerning its upfront costs, visual impact, noise pollution, and bird collisions. These challenges arise in commercial windmills, whereas for domestic small-scale windmills, these challenges are limited. On the other hand, accurate wind speed prediction (WSP) is crucial for optimizing power management in renewable energy systems. Existing research focuses on proposing model architectures and optimizing hyperparameters to improve model performance. This approach often results in larger models, which are hosted on cloud servers. Such models face challenges, including bandwidth utilization leading to data delays, increased costs, security risks, concerns about data privacy, and the necessity of continuous internet connectivity. Such resources are not available for domestic windmills. To overcome these obstacles, this work proposes a transformer model integrated with Long Short-Term Memory (LSTM) units, optimized for memory-constrained devices (MCDs). A contribution of this research is the development of a novel cost function that balances the reduction of mean squared error with the constraints of model size. This approach enables model deployment on low-power devices, avoiding the challenges of cloud-based deployment. The model, with its tuned hyperparameters, outperforms recent methodologies in terms of mean squared error, mean absolute error, model size, and R-squared scores across three different datasets. This advancement paves the way for more dynamic and secure on-device wind speed prediction (WSP) applications, representing a step forward in renewable energy management
Validating the predictive ability of the 2MACE score for major adverse cardiovascular events in patients with atrial fibrillation:results from phase II/III of the GLORIA-AF registry
No full textThe 2MACE score was specifically developed as a risk-stratification tool in atrial fibrillation (AF) to predict cardiovascular outcomes. We evaluated the predictive ability of the 2MACE score in the GLORIA-AF registry. All eligible patients from phase II/III of the prospective global GLORIA-AF registry were included. Major adverse cardiac events (MACEs) were defined as the composite outcome of stroke, myocardial infarction and cardiovascular death. Cox proportional hazards were used to examine the relationship between the 2MACE score and study outcomes. Predictive capability of the 2MACE score was investigated using receiver-operating characteristic curves. A total of 25,696 patients were included (mean age 71 years, female 44.9%). Over 3 years, 1583 MACEs were recorded. Patients who had MACE were older, with more cardiovascular risk factors and were less likely to be managed using a rhythm-control strategy. The median 2MACE score in the MACE and non-MACE groups were 2 (IQR 1–3) and 1 (IQR 0–2), respectively (p < 0.001). The 2MACE score was positively associated with an increase in the risk of MACE, with a score of ≥ 2 providing the best combination of sensitivity (69.6%) and specificity (51.6%), HR 2.47 (95% CI, 2.21–2.77). The 2MACE score had modest predictive performance for MACE in patients with AF (AUC 0.655 (95% CI, 0.641–0.669)). Our analysis in this prospective global registry demonstrates that the 2MACE score can adequately predict the risk of MACE (defined as myocardial infarction, CV death and stroke) in patients with AF. Clinical trial registration: http://www.clinicaltrials.gov . Unique identifiers: NCT01468701, NCT01671007 and NCT01937377
