Analysis of Foreign Direct Investment Inflows of BRICS Countries for Pre-Pandemic Period and during Pandemic Crisis

In the summit held in 2009, the leaders of Brazil, Russia, India China, and South Africa decided to identify themselves as a formal institution, and BRICS was declared as a formal institution in the year 2010. According to the UNCTAD report, these nations are identified as favored destinations for investments in FDI (Supachai, 2009). BRICS countries being recognized for their plenary FDI are also facing difficulty in attracting FDI inflows due to pandemic crises. FDI boosts entrepreneurship and is a great source of employment to millions. Thus there is a necessity to focus on the growth of FDI Inflows. The main purpose of this research is to study the growth trend of Foreign Direct Investment inflows of Brazil, Russia, China, India, and South Africa. The Study concentrated on seven years’ data (2014-2020) of FDI inflows collected from the statistics published by the Organisation for Economic Co-operation and Development (OECD) and International Monetary Fund (IMF). The data were analysed using Trend Percentages, CAGR (Compound Annual Growth Rate), Mean Scores, ANOVA, and LSD Post Hoc test. The results of the analysis showed that China bags the first rank in attracting FDI and South Africa stands last in attracting FDI among BRICS countries. The study also revealed that there is a significant difference in the FDI inflows amongst BRICS Countries

Role of Influencer Marketing in Promoting Financial Products in the Banking Sector of Pakistan

Purpose: The aim of this paper is to analyse the role of influencer marketing in promoting financial products in the banking sector of Pakistan and also to identify the factors through which banks are successfully implementing influencer marketing. Research Design: In this study, the researcher adopted quantitative research design, and all the data were collected through survey questionnaires using five-point Liker scale, and a sample of 300 consumers were selected in Pakistan. The collected data analysed by the researcher through Frequency analysis and Correlation analysis. In addition to this, as the researcher employed the instrument of questionnaire, thereby, to check the reliability of the instrument, the reliably testing was done, and the instrument was found to be reliable. Findings: It was found in the study that there was strong relationship between the influencer marketing and promotion of financial products. The study has found that customer reach, customer preference and engagement, shareable content and promotional tools are the factors through which banks are practising influencer marketing. Besides, it was further analysed that on the promotion of financial products in Pakistani banking sector. Limitations: The main limitation of the study is that this study specifically focused on the banking sector of Pakistan, which means the findings of the study is limited to the banking sector of Pakistan only. Besides, there had been limited knowledge possessed by respondents despite the awareness of the topic as they were all consumers, and not bank managers or experts, so future studies can be conducted among bank managers or field experts.        Keywords: Digital Marketing, Influencer Marketing, Customer Engagement, Financial Products, Banking, Pakistan DOI: 10.7176/JMCR/68-06 Publication date:June 30th 202

Evaluating the Effects of Textural Properties on the Strength Parameters of Marbles from North-Western Khyber Pakhtunkhwa, Pakistan

Marble is globally used as a natural stone for decorative and architectural purposes. Primary utilization of marble is as building and dimension stones. Mechanical properties and aesthetic aspects are major characteristics of marble and decisive factors for its selection and utilization. It is therefore imperative to evaluate the key strength properties i.e. Uniaxial Compressive Strength (UCS) and Uniaxial Tensile Strength (UTS) of marble before its utilization. These key strength parameters are dependent on textural features of marble. Present study investigates the effect of two key textural features i.e. grain size and grain shape on two key strength parameters i.e. UCS and UTS of marble samples taken from three different regions i.e. Buner, Chitral and Swat in the north western part of Khyber Pakhtunkhwa. Correlation and regression analysis between these textural properties and strength parameters revealed that prominent textural features of grain size and shape can be used as a quick indicator for assessment of strength parameters and as guideline for appropriate utilization of marble

Cytogenetic abnormalities in myelodysplastic syndromes: An overview

Karyotype is one of the main constituents of the International Prognostic Scoring System (IPSS) and revised-IPSS that are the cornerstones for the prognostication of patients with myelodysplastic syndromes (MDS). Del(5q), -7/del(7q), +8 and -Y are among the most extensively studied cytogenetic abnormalities in MDS. The same applies for normal karyotype. There are hundreds of other rare cytogenetic abnormalities that have been reported in MDS, included but not limited to -X, 3q abnormalities, +13/del(13q), i(17q), +21/-21. However, due to a very low number of patients, their impact on the prognosis of MDS is limited. Knowledge of the molecular consequences of different cytogenetic abnormalities allows us to modify treatment regimens based on drugs most active against the specific karyotype present, allowing for the opportunity to individualize MDS treatment and improve patient care and prognosis

H-Shaped Eight-Element Dual-Band MIMO Antenna for Sub-6 GHz 5G Smatphone Applications

The design of an eight-element H-shaped dual-band multiple-input multiple-output (MIMO) antenna system for sub-6 GHz fifth-generation (5G) smartphone applications is presented in this work. The radiating elements are designed on the side edge frame of the smartphone, placed on both sides of the main printed circuit board (PCB). Each side edge consists of four radiating elements, which ensures low mutual coupling between antenna elements. The total size of the main PCB is 150×75 mm 2 , while the size of the side edge frame is 150×7 mm 2 . A single antenna consists of an H-shaped radiating element fed using a 50Ω microstrip feeding line designed on the main board of the smartphone. The results show that, according to −6 dB impedance bandwidth criteria, the designed MIMO antenna radiates at two different frequency ranges within the allocated 5G spectrums, i.e., 3.1–3.78 GHz and 5.43–6.21 GHz with 680 MHz and 780 MHz bandwidths, respectively. It is also observed that the antenna elements are able to provide pattern diversity for both the frequency bands. Furthermore, an isolation of >12 dB is observed between any two given radiating elements. Numerous MIMO critical performance characteristics are assessed, including diversity gain (DG), envelope correlation coefficient (ECC), and channel capacity (CC). A prototype is built, measured, and it is observed that the measured and simulated data correspond well. On the basis of performance characteristics, it can be claimed that the suggested MIMO system may be used in 5G communication networks.Dr. Mohammad Alibakhshikenari acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 801538

Advancement in artificial intelligence for on-farm fruit sorting and transportation

On-farm sorting and transportation of postharvest fruit include sorting out defective products, grading them into categories based on quality, distributing them into bins, and carrying bins to field collecting stations. Advances in artificial intelligence (AI) can speed up on-farm sorting and transportation with high accuracy and robustness and significantly reduce postharvest losses. The primary objective of this literature review is to provide an overview to present a critical analysis and identify the challenges and opportunities of AI applications for on-farm sorting and transportation, with a focus on fruit. The challenges of on-farm sorting and transportation were discussed to specify the role of AI. Sensors and techniques for data acquisition were investigated to illustrate the tasks that AI models have addressed for on-farm sorting and transportation. AI models proposed in previous studies were compared to investigate the adequate approaches for on-farm sorting and transportation. Finally, the advantages and limitations of utilizing AI have been discussed, and in-depth analysis has been provided to identify future research directions. We anticipate that this survey will pave the way for further studies on the implementation of automated systems for on-farm fruit sorting and transportation

UV-Accelerated Photocatalytic Degradation of Pesticide over Magnetite and Cobalt Ferrite Decorated Graphene Oxide Composite

Pesticides are one of the main organic pollutants as they are highly toxic and extensively used worldwide. The reclamation of wastewater containing pesticides is of utmost importance. For this purpose, GO-doped metal ferrites (GO-FeO and GO-CoFeO) were prepared and characterized using scanning electron microscopy, X-ray diffraction and Fourier transform infrared spectroscopic techniques. Photocatalytic potentials of catalysts were investigated against acetamiprid's degradation. A detailed review of the parametric study revealed that efficiency of overall Fenton's process relies on the combined effects of contributing factors, i.e., pH, initial oxidant concentration, catalyst dose, contact time, and acetamiprid load. ~97 and ~90% degradation of the acetamiprid was achieved by GO-CoFeO and GO-FeO, respectively during the first hour under UV radiations at optimized reaction conditions. At optimized conditions (i.e., pH:3, [HO]: 14.5 mM (for FeO, GO-FeO and GO-CoFeO) and 21.75 mM (for CoFeO), catalysts: 100 mgL, time: 60min) the catalysts exhibited excellent performance, with high degradation rate, magnetic power, easy recovery at the end, and efficient reusability (up to 5 cycles without any considerable loss in catalytic activity). A high magnetic character offers its easy separation from aqueous systems using an external magnet. Moreover, the combined effects of experimental variables were assessed simultaneously and justified using response surface methodology (RSM).This research received no external funding

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed