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The research aims to explore the influence of demographic factors on economic growth as well as sectoral development. Research reveals which factors have more influence on economy and which sector is more affected by demographic variables. This study utilizes panel data to investigate the effect of demographic changes on economic growth. The analysis employs the pooled mean group/autoregressive distributed lag model (PMG/ARDL) to estimate the impact. The ARDL model is used to estimate the long run relationship between variables and short run dynamics as well. To determine the stationarity of the variables, panel unit root tests such as the Augmented Dickey-Fuller (ADF) and Phillips and Perron (PP) tests are employed. The findings of ARDL indicate that economic growth (GDP) is adversely affected by death rate (DR), population growth (PG) and migration (LNMIG), whereas birth rate (BR) and life expectancy (LE) have a positive impact on GDP over long term. This research contributes to the existing literature by offering a unique perspective on the interplay between demographics and economic growth within the South Asian context, potentially uncovering region-specific trends, challenges, and opportunities that may differ from other parts of the world. The research suggests policies for education, healthcare, investment, family planning, and migration policies to overcome the influence of these factors. Additionally, the research addresses the sustainable development goals that help to improve sustainability in these economies. [ABSTRACT FROM AUTHOR]

Advancements in information and communications technology (ICT) have fundamentally transformed computing, notably through the internet of things (IoT) and its healthcare-focused branch, the internet of medical things (IoMT). These technologies, while enhancing daily life, face significant security risks, including ransomware. To counter this, the authors present a scalable, hybrid machine learning framework that effectively identifies IoMT ransomware attacks, conserving the limited resources of IoMT devices. To assess the effectiveness of their proposed solution, the authors undertook an experiment using a state-of-the-art dataset. Their framework demonstrated superiority over conventional detection methods, achieving an impressive 87% accuracy rate. Building on this foundation, the framework integrates a multi-faceted feature extraction process that discerns between benign and malign actions, with a subsequent in-depth analysis via a neural network. This advanced analysis is pivotal in precisely detecting and terminating ransomware threats, offering a robust solution to secure the IoMT ecosystem. [ABSTRACT FROM AUTHOR]

Recently, the CMS and ATLAS collaborations have announced the results for H → Z[→ ℓ+ℓ−]γ with ℓ = e or μ [1, 2], where H → Zγ is a sub-process of H → ℓ+ℓ−γ. This semi-leptonic Higgs decay gets both resonant and non-resonant contributions from the loop-induced H → Z[→ ℓ+ℓ−]γ. To probe further features coming from these contributions to H → ℓ+ℓ−γ, we argue that the polarization of the final state leptons is also an important parameter. We show that the interference of resonant and non-resonant contributions, which is negligible in the case of unpolarized leptons, plays a significant role when considering the polarization of the final state lepton. For this purpose, we have calculated the polarized decay rates and the longitudinal (PL), normal (PN), and transverse (PT) polarization asymmetries. We find that these asymmetries purely come from the loop contributions and are helpful to further investigate the resonant and non-resonant nature of H → Z[→ ℓ+ℓ−]γ decay. We observe that for ℓ = e, μ, the longitudinal decay rate is highly suppressed around mℓℓ ≈ 60 GeV when the final lepton spin is − 1 2 , dramatically increasing the corresponding lepton polarization asymmetries. Furthermore, we analyze another observable, the ratio of decay rates R i ± ll ′ , where ℓ and ℓ′ refer to different final state lepton generations. Precise measurements of these observables at the HL-LHC and the planned e+e− collider can provide fertile ground to test not only the SM but also to examine the signatures of possible NP beyond the SM. [ABSTRACT FROM AUTHOR]

Cool roof coatings are being applied on rooftops to reflect solar irradiance back into the atmosphere. Bifacial photovoltaic modules can receive solar irradiance from the front and rear side. The purpose of this study is to investigate the impact of reflected irradiance caused by cool roof coating (CRC) on the performance of bifacial photovoltaic (bPV) modules and monofacial photovoltaic (mPV) modules. According to the experiments, cool roof coating is an efficient way to increase the output and efficiency of solar modules. Experimental results show that for cool roof coating based on TiO2 and FC resin with an average albedo of 0.63, the peak power output of the bifacial photovoltaic module is increased by 3.29% and its highest peak power efficiency is 18.1%. A peak power bifacial gain of 15.6% is seen. Due to a 1.3 °C decrease in temperature, the monofacial photovoltaic module power output also increased by 0.24%. [ABSTRACT FROM AUTHOR]

BTK inhibitor exposure increases significantly when coadministered with CYP3A inhibitors, which may lead to dose-related toxicities. This study explored the pharmacokinetics, efficacy, and safety of zanubrutinib when coadministered with moderate or strong CYP3A inhibitors in 26 patients with relapsed or refractory B-cell malignancies. Coadministration of zanubrutinib (80 mg BID) with moderate CYP3A inhibitors fluconazole and diltiazem or zanubrutinib (80 mg QD) with strong CYP3A inhibitor voriconazole resulted in comparable exposures to zanubrutinib (320 mg QD) with AUC0-24h geometric least squares mean ratios approaching 1 (0.94, 0.81, and 0.83, for fluconazole, diltiazem, and voriconazole, respectively). The most common treatment-emergent adverse events were contusion (26.9%), back pain (19.2%), constipation and neutropenia (15.4% each), and rash, diarrhea, and fall (11.5% each). This study supports current United States Prescribing Information dose recommendations for the coadministration of reduced-dose zanubrutinib with moderate or strong CYP3A inhibitors and confirms the favorable efficacy and safety profile of zanubrutinib. [ABSTRACT FROM AUTHOR]

Consumption of electricity all over the world has been increasing since past years. However, the present investment trend is presenting marks of power supply shortage. Hereafter, several countries have incorporated energy efficiency as a limited solution to forthcoming energy problems. Actually, a lot of households are not substituting their household energy products with energy-efficient ones. Usage of energy efficient appliances in Pakistan is still at poor level. The main focus of the study is to see the consumers purchase intention for the energy efficient household appliances in southern region of Punjab. This study using a questionnaire that was administered to four hundred consumers in three district of south Punjab, Pakistan. Partial Least Square (PLS) regression is used. The findings shows that more favorable attitudes, social influence and perceived behavioral control towards energy efficient household appliances significantly impact on purchase intention of the consumers. This study also proved that environmental concern and moderation is also positive impact on household decision to purchase efficient home energy appliances. Creating awareness through advertisement about energy star labelling will beneficial for consumers. [ABSTRACT FROM AUTHOR]

Brand extension is considered to be a highly plausible and essential factor for the success of new products. It is an elusive concept that adds value to the offered products and gives a competitive advantage for strategical positioning of new products in the consumers' minds. This study carefully considers the influential factors for the evaluation of brand extension for products targeting young customers. This study analyzed the three important characteristics of consumers by employing a new and proposed nomological network to assess the brand extension and its strategies. First, the brand extension was directly regressed with the need for uniqueness and with innovativeness. After observing the significance of the regressed model, the model was finally analyzed with the intervening variable of need for variety. Six hypotheses were developed, and the proposed theoretical model was assessed through structural equation modeling (SEM) with the help of SmartPLS. Data was collected from 331 university students of southern Punjab, Pakistan. It was found that all three personal characteristics of young consumers (need for uniqueness, innovativeness, and need for variety) are highly significant with the evaluation of brand evaluation. The proposed model explained more than 30% variation in the observed phenomenon. It was observed that the need for variety partially mediates the relationship between the need for uniqueness, innovativeness, and brand extension. As per the results of this study, it was found that the variety of products matters a lot for young customers so, marketers must consider the variation in the products while extending their product line. Theoretically, this study contributed and enhanced the nomological network of brand extension for young consumers. Practically, the study would help the decision-makers understand the preferences of the young generation to devise the new strategies of brand extension. [ABSTRACT FROM AUTHOR]

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The aim of this study is to investigate the impact of international trade on the child labor by using new trade theory among the developing countries based on trade induced child labor effects. The relationship between the child labor and the selection and scale effect for the developing countries which are engaged in the trade of both differentiated and homogeneous goods is further examined. The ratio of gross domestic product (GDP) and industrial value added represents the scale effect while the selection effect refers to the exit of least efficient firms due to trade liberalization. The results of generalized least squares (GLS) technique show child labor decreases with an increase in the value added. In addition, the findings also indicate the overall effect of trade along with trade child labor induced effects is favorable in the reduction of child labor. The results imply trade liberalization is a gain to the developing economies in the form of child labor reduction. [ABSTRACT FROM AUTHOR]