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Pandemic, War and Geo-Political Risk: The Outlook for Global Economy
This Chapter analyses the world economic outlook in the backdrop of the Pandemic, the Russia-Ukraine war, geo-political tensions, and social unrest emerging around the world. The COVID-19 Pandemic an unwanted gift from the nature spreading across the nations in multiple waves and mutation has devastated the global economy. The governments and central banks responded with huge bailouts to beat the potential recession that led to excess liquidity and demand-pull inflation. The global GDP declined due to multiple lockdowns to contain the spread of the virus. Due to scarcity of inputs, labour and supply chain disruptions the cost of production surged and augmented cost-push inflation. Further, the Russian invasion of Ukraine aggravated the supply-side shocks from sanctions and energy and food inflation surgeda 38-year highto 6.7 percent in advanced economies and 8.7 percent in emerging markets and developing economies creating misery among people particularly in the low-income countries. The running magnitude of inflation complicated the policy efforts, and the central banks and governments reversed the trade-off for inflation from safeguarding the growth. Besides, the social unrest in developed countries (Canada, New Zealand, the US, Austria, the Netherland) and developing countries (Chile, Algeria, Iran, Iraq, Lebanon, Brazil, Belarus, Sri Lanka, Ethiopia, Burkina Faso, Tajikistan, and Sudan) have added the geo-political tensions (China and Taiwan) worsening the world economic outlook. The first section of this chapter narrates the COVID-19 pandemic impact (loss of lives and livelihood), leading to declining trends in global GDP, income, employment and international trade, and increasing trends in poverty, unemployment, inequality and inflation. The second section analyses the impact of the Russian invasion of Ukraine and social unrest gathering around the world leading to geo-political tensions, supply-side shocks and inflation trending to a level not seen in the last four decades. The policy efforts reversed to monetary tightening and increasing the interest rates causing capital outflows, currency depreciation and foreign exchange reserve meltdown. Developing countries with limited fiscal space to counteract are prone to prolonged stagflation (inflation plus unemployment) and skewflation risk (product prices rising but asset prices falling). In the near-term, the global economy is facing an extremely challenging outlook due to sharply rising food, fertilizer and energy prices, and rising interest rates, capital outflows, currency depreciation and unsustainable levels of external debt. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Pandemic, theatre and performance: Democratizing the subalterns through the Theatre of the Oppressed
The presented work analyses Theatre of the Oppressed (TO) methods impacting the pandemic. It follows the WHO timeline, when the COVID-19 pandemic had cast a dark shadow, making sustenance difficult for the marginalized section of Indian society. TO methods, though reflected, adapted and accommodated exhaustively in Indian applied theatre over the last four decades, offered a fresh, collective, democratic space during the pandemic. Forum theatre (FT) and legislative theatre (LT) praxis rendered a platform for activism, awareness and emancipation of the subalterns during the pandemic. Thus, TO renewed psycho-social dialogue and critical, creative, experimental space during this time. The applicability of such methods facilitating social change is gauged using Boals spect-actorship and Freires conscientization. The article looks forward to the TO signposts to serve as nodal points for further scholarly discussion and study on democratizing the disenfranchised population through FT and LT during the pandemic. 2023 Intellect Ltd Article. English language. All Rights Reserved. -
PANDEMIC-INDUCED CRISES IN TOURISM AND HOSPITALITY AN INDIAN CONTEXT
This paper aims to examine the pandemic-induced crises psychological and physical distress experienced by the employees during the Covid19 pandemic and the implications on job loss and job characteristics from all domains of the hospitality industry in India. The study is designed to explore the pandemic-induced tourism crisis along with emotional, mental, and physical effects. An in-depth qualitative exploration was used and a tool comprising of data sets include representatives from aviation, resorts and hotel segments, tour operators, and travel agents. The researchers used a semi-structured questionnaire that had two sections and explored industry concerns, HR strategies, and employee distress through a multi-stage process involving coding and content analysis. The study analyzed the pandemic-induced crises at the micro and macro levels and grouped them under three essential dimensions such as; organizational and industry concerns, organizational HR policies, and employees psychological distress. The subthemes under these dimensions can contribute to scale validation. The subthemes grouped under the three major dimensions have come out as a theoretical model of how the pandemic has affected professionals at these three levels. The findings as items can be validated through descriptive research in quantitative terms forming the future scope. The study analyzed the perceptions of professionals in the tourism and hospitality business amid the pandemic and concludes that a proactive HR policy can minimize employees psychological distress. 2022 Editura Universitatii din Oradea. All rights reserved. -
Pandemic Resilient Organizational Behaviour: From the Lens of Stakeholder and Legitimacy Theory
The Covid-19 pandemic spread on global map with unprecedented speed and created an environment of uncertainty, anxiety and disruption. India, being a densely populated country, had been looked upon with apprehension and later on with great admiration in controlling and managing the pandemic and its devastating effect. The study has built a thematic model for short-term and long-term pandemic resilient organizational practices based on stakeholder and legitimacy theory, which focuses on aligning business with societal values and stakeholder expectations. The foci have been stakeholder groups of employees, customers, suppliers and community. Sustainability reports of selected Indian companies based on GRI standards for FY from 2019 to 2022 are then scored based on the developed model. Further analysis explored changes in risk reporting framework in pandemic and post pandemic. The thematic coverage in sustainability reports for employees and community found a prominent place emphasizing the importance of these groups. The thematic disclosures for suppliers are the least disclosed, indicating areas for improvement in the business practices. Based on this thematic model, suggestions are also made for additional disclosure indicators in the GRI framework for stakeholder group of suppliers and customers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Pandemic recovery strategies: A disaster management tourism framework
Purpose: The leisure industry is colossally impacted by varied types of crisis. Assessing the volatility; an attempt is made towards disaster planning and a response system. This chapter indicates an all-inclusive integrated approach to deal with disasters and narrates conceptual and latest factual findings in the space of disaster management. An efficient and self-equipped attraction demands a competent and efficient disaster management system in place. Methodology: This chapter devises measures to deal with the capacity of a destination during pandemic and proposes recovering strategies for the leisure business. Destination governance and disaster management techniques are well explored in the proposed chapter. Findings: An imperative study of this nature will determine the role of cultural perceptions of varied risk and threats in a pandemic scenario. Innovative practices of disaster governance and Post-disaster recovery strategies are crucial mechanisms for the sustenance of tourism and hospitality sector. Originality-Value: The conceptual ideas and outcomes obtained in this chapter helps policy makers not only to find new strategies to placate the negative impacts of COVID-19 on the organic image of tourist destinations but also assists in accelerating the recovery timeframe just after the pandemic. 2022 Joseph Chacko Chennattuserry, Bindi Varghese, N Elangovan and H Sandhya. -
Pandemic Pulse: Unveiling Insights with the Global Health Tracker Through AI and ML
The current study highlights the importance of data analysis by applying data visualization tools to help you understand the pandemic disease informational component, and how it can be converted into knowledge that might enhance decision-making processes. In Tableau, a software for displaying data, researchers have incorporated a pandemic disease informational component from Coursera to improve assessment and selection. After becoming familiar with the data and the data visualization technological advances, some of it will be expected to conduct an initial investigation to identify significant changes in the data that is under consideration, compile and present this pandemic disease informational component, and enhance the corporate decision-making process. This issue for inquiry highlights the significance of knowledge examination via the use of communication visualization applications to aid in your comprehension of the pandemic disease informational component as well as how it may be changed into knowledge that may enhance the process of arriving at decisions. The creators of the knowledge representation computation application scenario used data from Coursera to improve their studies and make decisions. One will need to conduct an exploratory inquiry to find notable trends within the data after familiarizing oneself with it by utilizing visualization programs to compile and distribute this data to improve the company's decision-making procedures. This specific software is designed to be utilized in an early administrative duties course, an undergraduate accounting data structure course, or a data analytics-only educational program as a basic introduction to an informative visualization computer application. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
PANCHAYAT SYSTEM IN KARNATAKA: DEMOCRACY, REPRESENTATION AND POLITICAL PARTIES; [SISTEMA PANCHAYAT EM KARNATAKA: DEMOCRACIA, REPRESENTAO E PARTIDOS POLICOS]
As far as the Indian sub-continent is concerned local governance/panchayat has an elaborate history. The rural population have for long practiced this system of governing themselves through their representatives. The mode of working and the powers vested in the local bodies, have not been uniform throughout. The federation conferred constitutional status to the local governance bodies in 1993 and this system has progressed in an interesting way. Karnataka, a southern State in India has been ahead of time in enacting legislations dealing with local governance. Even before the amendment inserting provisions to the Constitution of India was passed, Karnataka had and was implementing extravagant laws pertaining to panchayats. Since democracy and decentralisation are closely associated with the panchayats, the idea of representation has a key role to play. The concerns with respect to involvement and influence of political parties in the local body elections are an important aspect as well. This paper ventures out to understand the panchayat system in Karnataka, pre and post the Constitutional amendment. The paper intends to throw light on the essence of the legislations relating to panchayats in Karnataka and understand the idea of democracy, representational factor and the concept of elections on a non-party basis. The researchers have keenly pondered upon the implementation of apolitical elections in Karnataka, the flaws in the proposed phenomenon. The paper also aims to look into hurdles in the way of these local bodies and propose suggestions to get over the same. Purpose: To Analyze the panchayat system in Karnataka, both before and after the 1993 constitutional amendment. Examine the essence of Karnataka's panchayat-related legislation. Explore the concepts of democracy, representation, and non-party elections in the context of panchayats. Evaluate the implementation of non-partisan elections in Karnataka and identify potential flaws. Analyze the challenges faced by panchayats and propose solutions. Theoretical Reference: Mainly Doctrinal research methodology. Relies on primary sources like the Indian Constitution, relevant statutes relating to panchayaths, and relevant data. Draws on secondary sources like articles and research papers. Method: Analyzes relevant legal documents and scholarly works. Analytical Method of Study Comparative Studies in relation to various factors pertaining to the research between the three levels of Panchayat (Gram Panchayat, Taluk Panchayat and Zilla Panchayat) Results and Conclusion: Non-partisan elections in Karnataka are largely theoretical; political parties influence local elections. Political interference hinders effective panchayat functioning. The paper likely proposes recommendations for strengthening panchayats and minimizing political influence. Implications of Research: Provides insights into the challenges and potential of decentralized governance in India. Informs policymakers and stakeholders about improving panchayat effectiveness. May contribute to debates on non-partisan elections and local democracy. Originality/Value: The study offers a focused analysis of Karnataka's panchayat system within a specific theoretical framework. Its findings on the limitations of non-partisan elections could be valuable for other regions considering similar approaches. 2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved. -
Pan-generation investigation of sustainability factors in conjunction with personality aspects influencing consumer's perception towards sustainable marketing
Sustainability has become the goal of governments and organizations worldwide since the 2030 agenda of the United Nations was declared. The large number of products has emerged in the market that claims to be green and sustainable or promise to serve a social cause. Even though numerous studies that claim consumers are increasingly conscious of their choices and consumption behaviour there has been a marked gap between this awareness and the actual behaviour exhibited. In a quest to comprehend the curious gap between the attitude and behaviour of consumers, several studies have endeavored to find a plausible explanation. Marketing specialists have come up with several strategies in order to make sustainable marketing a success but inexplicably still fail to do so. This study proposes a conceptual framework that comprehensively explains the impact of external and internal drivers for a consumer's perception of products that claim to be sustainable in nature, which may eventually explain the attitude-behaviour gap. This has been constructed using well-established consumer behaviour and personality theories. Sample size was calculated using proportion to population method and was derived as 270. Judgment and convenience sampling were used to collect the data through a structured questionnaire. The study uncovered that age influences the attitudes of consumers and both Gen X (cohort born between 1965-79) and Y (cohort born between 1980-96) bear positive attitudes towards sustainable marketing. Pricing had a major influence as well, buyers who ranked high on the 'Conventional' and 'Realistic' interests of the RIASEC personality model had a more positive perception. 2021 Ecological Society of India. All rights reserved. -
Palm Leaf
This work is by Her Highness Pooradam Thirunal Parvati Devi Varma, daughter of His Highness Uthradam Thirunal Marthanda Varma, Former Maharaja of Travancore, Kerala. -
Palliative care in duchenne muscular dystrophy: A study on parents' understanding
Introduction: Duchene muscular dystrophy (DMD) is a neuromuscular disease of childhood, which has clear progression. The international standardized care guidelines for DMD suggest that palliative care is essential for the affected children. Objective: To explore the parent's understanding of palliative care services available for children with DMD and the challenges faced by them in utilizing the same. Methods: A cross-sectional qualitative exploratory study was conducted among six families of boys diagnosed with DMD. A semi-structured interview guide with prompts was used to conduct in-depth interviews which lasted for an average of 1 h. Thematic analysis was done to identify the pattern or themes. Results: The major themes identified were 'palliative care, living with DMD, awareness about palliative care services and challenges.' Awareness about palliative care services is the dominant theme identified as influencing rest of the experiences narrated by the parents of children with DMD. Discussion: Integration of palliative care services from an early stage of the illness can help the child to make transition from one stage to another stage of the illness. To ensure the utilization of the available palliative care services, there is a need to create awareness about it among the general public. Conclusion: Introducing the concept of palliation of symptoms and ensuring quality of life of the child with DMD by accessing the available services can aid the parents to reach out for help for their child. 2021 Wolters Kluwer Medknow Publications. All rights reserved. -
Palladium immobilized on guanidine functionalized magnetic nanoparticles: a highly effective and recoverable catalyst for ultrasound aided Suzuki-Miyaura cross-coupling reactions
We designed and prepared a palladium catalyst that can be magnetically recyclable by anchoring guanidine moiety on the surface of Fe3O4 nanoparticles, named Fe3O4@SiO2-TCT-Gua-Pd. It was established to be a potent catalyst for the Suzuki-Miyaura cross-coupling reaction (SMCR) in the EtOH/H2O system under ultrasonic conditions. FT-IR spectroscopy, field-emission scanning electron microscopy (FESEM), energy dispersive X-ray (EDX) microanalysis, vibration sample magnetometry (VSM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), thermogravimetric analysis (TGA), and inductively coupled plasma atomic emission spectrometry (ICP-AES) analyses were used to characterize the structure of the Fe3O4@SiO2-TCT-Gua-Pd nanoctalyst. The Fe3O4@SiO2-TCT-Gua-Pd catalyst produced favorable coupled products with excellent yields and was harmonious with various aryl halides and aryl boronic acids. The stability, low palladium leaching, and heterogeneous nature of the nanocatalyst were confirmed by a hot-filtration test. The palladium nanocatalyst could be easily recovered by magnetic field separation and recycled at least 6 times in a row without noticeable loss in its catalytic activity. 2023 The Royal Society of Chemistry. -
Paired Domination Integrity of Graphs
The concept of vulnerability in a communication network plays an important role when there is a disruption in the network. There exist several graph parameters that measure the vulnerability of a communication network. Domination integrity is one of the vulnerability parameters that measure the performance of a communication network. In this paper, we introduce the concept of paired domination integrity of a graph as a new measure of graph vulnerability. Let G = (V,E) be a simple, connected graph. A set of vertices in a graph G, say S, is a paired dominating set if the following two conditions are satisfied: (i) every vertex of G has a neighbor in S and (ii) the subgraph induced by S contains a perfect matching. The paired domination integrity of G, denoted by PDI(G), is defined as PDI(G) = min{|S| + m(G - S): S is a paired dominating set of G}, where m(G - S) is the order of the largest component in the induced subgraph of G - S. In this paper, we determine few bounds relating paired domination integrity with other graph parameters and the paired domination integrity of some classes of graphs. 2024 World Scientific Publishing Company. -
Paired curves on riemannian manifolds
The thesis examines certain curves in Riemannian manifolds, which exist in one-one correspondence with other curves. This correspondence is described by means of a rigid link between the frame vectors allied newlineto these quotpairedquot curves. The Combescure transformation is made use of to exhibit that one of the paired curves can be obtained as an infinitesimal deformation of the other. The correspondence between the paired curves is exploited to formulate expressions relating the curvature and torsion functions of one with the other. newlineThe primary setting for this study is the Euclidean space R3, with brief considerations of 3-dimensional Riemannian space forms(i.e. Riemannian manifolds of constant sectional curvature). The exponential map is the desired tool of analysis in the latter case. The major classes of curves treated are the Mannheim class of curves in R3 and their partner curves. Further, with the help of the newlinenotion of the osculating helix, a new class of curves called constantpitch curves are defined, which are seen to naturally arise in motion analysis studies in theoretical kinematics. Constant-pitch curves are newlinealso shown to be inherent counterparts of Mannheim curves by means of a deformation. newlinePivotal properties of Mannheim and constant-pitch curves are established and a few examples are put forth. Integral characterizations of both curves are derived in terms of their spherical indicatrices. A newlineconsequence of this to geometric modeling problems involving energy functionals and also to the study of elastic curves is discussed. newlineCertain ruled surfaces generated by Mannheim and constant-pitch curves which occur as axodes associated to a rigid body motion are newlinedetailed and their applications to kinematics are studied. Further, the nature of paired curves in connection with tubular neighbourhoods/surfaces are investigated. newline -
Pain track analysis during gestation using machine learning techniques
During the gestation period women experience Braxton Hicks which is called the false labor, contractions during the second trimester. These contractions are not in regular intervals and also they are often unnoticed. The real labour or the true labour contractions develop late in the third trimester of the gestation usually beyond 36th week (excluding pre-term birth). Some women often fail to identify these pains in the third trimester of the gestation where an efficient facial recognition algorithm along with the support vector machine (SVM) helps them to identify these pains and take optimum care of themselves. The authors in this paper convey a mechanism to identify the pains effectively by creating a database of images pertaining to the pregnant women, her emotional states throughout the pregnancy. Using MATLAB the algorithm of decision tree is implemented and the values obtained from them help us analyze the pain type efficiently. 2021 Institute of Advanced Engineering and Science. All rights reserved. -
Pain Detection System In Real Time Healthcare Environment
The negative feeling of pain is often involuntarily expressed through facial expressions. Facial expression therefore is an important non-verbal cue to determine if a person is in pain. This property can be applied for diagnosis of pain especially among patients who are differently newlinechallenged and lack the ability of expressing their issue. In spite of the developments made so far, this field still lags behind in finding pain expressing faces in an uncontrolled environment through unprocessed newlinereal time images and videos. To bridge this gap, the study proposed a hybrid or fusion model that could adequately detect a face expressing pain. The model was executed with inputs taken from pre-recorded or stored newlinevideos and live streamed videos. It involved the combination of Patch Based Model (PBM), Constrained Local Model (CLM), and Active newlineAppearance Model (AAM) in concurrence with image algebra. This allowed the efficient pain identification from raw home-made stored newlinevideos and live stream even through a bad recording device and under poor illumination. The hybrid model was implemented in a frame-by-frame manner for feature extraction and pain detection. The feature extraction part was done in pixel-based and point-based representation. For point-based representation, a concept called image algebra was used. For classification, three approaches viz. histogram technique, Feed newlineForward Neural Network (FFNN), and Multilayer Back Propagation Neural Network (MLBPNN) were implemented and analyzed. The videos newlineof different subjects showed facial expressions of pain::face, not::pain face and neutral::face. A home-made dataset was produced for storing the videos which was later used as the input and the selected features were stored. This dataset served as the training set for the proposed model. Though the data was not highly sensitive it was sufficient to confer adequate information for detecting pain expression. -
Pain detection system in real time healthcare environment
The negative feeling of pain is often involuntarily expressed through facial expressions. Facial expression therefore is an important non-verbal cue to determine if a person is in pain. This property can be applied for diagnosis of pain especially among patients who are differently challenged and lack the ability of expressing their issue. In spite of the developments made so far, this field still lags behind in finding pain expressing faces in an uncontrolled environment through unprocessed real time images and videos. To bridge this gap, the study proposed a
hybrid or fusion model that could adequately detect a face expressing pain. The model was executed with inputs taken from pre-recorded or stored videos and live streamed videos. It involved the combination of Patch Based Model (PBM), Constrained Local Model (CLM), and Active Appearance Model (AAM) in concurrence with image algebra. -
Padmarajans enigmatic and enduring relationships
[No abstract available] -
Pad Vending Machine with Cashless Payment
A vending machine aims to provide required product or the service to the customer with certain ease, wherein not much effort is required. This research work aims to design a pad vending machine with an option of payment using QR code which is implemented using blockchain to make the system much more efficient and reliable than the existing systems present in the Indian market. The system is divided into two parts, first being the working of the machine and second being the mode of payment which is implemented using a blockchain. It is noticed many times that due to unpredictable menstrual flow women tend to face a lot problems. To overcome this problem, a pad vending machine is proposed with certain advancements through which women can help themselves in the stated circumstances. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
PA1 cells containing a truncated DNA polymerase ? protein are more sensitive to gamma radiation
Purpose: DNA polymerase ? (Pol?) acts in the base excision repair (BER) pathway. Mutations in DNA polymerase ? (Pol?) are associated with different cancers. A variant of Pol? with a 97 amino acid de-letion (Pol??), in heterozygous conditions with wild-type Pol?, was identified in sporadic ovarian tumor samples. This study aims to evaluate the gamma radiation sensitivity of Pol?? for possible target therapy in ovarian cancer treatment. Materials and Methods: Pol?? cDNA was cloned in a GFP vector and transfected in PA1 cells. Stable cells (PA1Pol??) were treated with60Co sourced gamma-ray (015 Gy) to investigate their radiation sensitivity. The affinity of Pol?? with DNA evaluated by DNA protein in silico docking experiments. Results: The result showed a statistically significant (p < 0.05) higher sensitivity towards radiation at different doses (015 Gy) and time-point (4872 hours) for PA1Pol?? cells in comparison with nor-mal PA1 cells. Ten Gy of gamma radiation was found to be the optimal dose. Significantly more PA-1Pol?? cells were killed at this dose than PA1 cells after 48 hours of treatment via an apoptotic pathway. The in silico docking experiments revealed that Pol?? has more substantial binding potential towards the dsDNA than wild-type Pol?, suggesting a possible failure of BER pathway that results in cell death. Conclusion: Our study showed that the PA1Pol?? cells were more susceptible than PA1 cells to gamma radiation. In the future, the potentiality of ionizing radiation to treat this type of cancer will be checked in animal models. 2022 The Korean Society for Radiation Oncology. -
P4 based Load Balancing Strategies for Large Scale Software-Defined Networks
To meet the large demands of future networks, several large-scale Software Defined Networking (SDN) test-beds have been designed. The increasing complexity of networks has resulted in convoluted methods for managing and orchestrating efficiently across a wide range of network environments. The load balance function is impaired when the controller fails to connect with the switches. A traditional Load Balancer (LB) must decapsulate layers one by one and get the information needed to run load balancing algorithms. For instance, OpenFlow, NetConf, Programming Protocol-independent Packet Processors (P4), and Data Plane Developement Kit (DPDK) provide network programmability at both the control and data plane levels. In this paper, authors implement load balancing using the P4 programming language without the need of a controller, the P4 load balancer can operate on its own. Controller's support is used to keep track on the health of the web servers. In this situation, the controller can identify a server failure and notify the P4 load balancer, which will restrict requests to the malfunctioning server, lowering the dispatching failure rate. A detailed investigation of various load balancing mechanisms is analysed in this paper followed by the identification of four potential approaches to large-scale SDN tests, including connection hash, weighted round-robin, DPDK technique, a Stateless Application-Aware Load-Balancer (SHELL). 2022 IEEE.