Infancy Stage Research Articles

Assessing the efficacy of artificial intelligence to provide peri‐operative information for patients with a stoma

AbstractBackgroundStomas present significant lifestyle and psychological challenges for patients, requiring comprehensive education and support. Current educational methods have limitations in offering relevant information to the patient, highlighting a potential role for artificial intelligence (AI). This study examined the utility of AI in enhancing stoma therapy management following colorectal surgery.Material and MethodsWe compared the efficacy of four prominent large language models (LLM)—OpenAI's ChatGPT‐3.5 and ChatGPT‐4.0, Google's Gemini, and Bing's CoPilot—against a series of metrics to evaluate their suitability as supplementary clinical tools. Through qualitative and quantitative analyses, including readability scores (Flesch–Kincaid, Flesch‐Reading Ease, and Coleman‐Liau index) and reliability assessments (Likert scale, DISCERN score and QAMAI tool), the study aimed to assess the appropriateness of LLM‐generated advice for patients managing stomas.ResultsThere are varying degrees of readability and reliability across the evaluated models, with CoPilot and ChatGPT‐4 demonstrating superior performance in several key metrics such as readability and comprehensiveness. However, the study underscores the infant stage of LLM technology in clinical applications. All responses required high school to college level education to comprehend comfortably. While the LLMs addressed users' questions directly, the absence of incorporating patient‐specific factors such as past medical history generated broad and generic responses rather than offering tailored advice.ConclusionThe complexity of individual patient conditions can challenge AI systems. The use of LLMs in clinical settings holds promise for improving patient education and stoma management support, but requires careful consideration of the models' capabilities and the context of their use.

Ethical reasoning in technology: using computational approaches to integrate ethics into AI systems

Purpose This paper does not concern with the “why” of ethics. Such questions are typically of interest to philosophers and are outside the scope of this work. In the next section, the authors offer a look into “what” of ethics, i.e. various types and subtypes of ethics. Subsequently, the authors explore “how” of ethics, by summarising various computational approaches to ethical reasoning offered by researchers in the field. Design/methodology/approach The approaches are classified based on the application domain, ethical theory, agent type and design paradigm adopted. Moreover, promising research directions towards ethical reasoning are also presented. Findings Since the field is essentially interdisciplinary in nature, collaborative research from such areas as neuroscience, psychology, artificial intelligence, law and social sciences is necessary. It is hoped that this paper offers much needed insight into computational approaches for ethical reasoning paving way for researchers to further engage with the question. Originality/value In this paper, the authors discussed vaious computational approaches proposed by researchers to implement ethics. Although none of the approaches adequately answer the question, it is necessary to engage with the research effort to make a substantial contribution to the emerging research area. Though some effort has been made in the design of logic-based systems, they are largely in stages of infancy and merit considerable research.

Critical success factors for circular economy implementation toward sustainable construction: an iterative stationary approach

ABSTRACTS The continuous depletion of natural resources, coupled with negative environmental impacts and increasing costs of construction projects, has drawn the attention of stakeholders in the construction industry to the circular economy (CE) concept. Over the past decade, the investigations of CE have increased significantly. Yet, this is not the case for developing countries, where the CE practice is still in an infant stage. This paper explores the critical success factors (CSFs) in order to advance knowledge of the implementation of CE in the Nigerian construction industry. The CSFs were compiled from previous studies and subsequently reviewed and classified through a semi-structured interview. A questionnaire survey consisting of the CSFs was subsequently sent to the construction professionals for their response. The relative importance index was further employed to determine the significant factors within each group. In this paper, an iterating stationary approach was adopted to further examine the factors by using Ginni's mean measure of dispersion to create a uniform weight for the index numbers. The Lebesgue integral measure to the mean value was used to provide a value range within the relative importance index (RII). This technique evaluated the impacts of the CE CSFs on the Nigerian construction industry. The results indicate a geometric mean stationary value of 0.7040, which signifies that the CSFs for CE implementation in the Nigerian construction industry are alleviating the fragmented construction industry through the stakeholder’s collaboration having the RII value of 0.71, and the availability of technologies for end of the life management of buildings with the RII value of 0.7.

Introduction: confronting the challenges of adopting algorithmic management in China: employee innovation and proactive behaviour and leader management transparency

ABSTRACT Algorithmic management (AM) has become a vital aspect of organizational and people management across industries. However, organizational research about AM and its impact is still at an infancy stage. Existing studies tend to result in potential biases when estimating their effects and miss important implications. Drawing on the relevant literature, this introductory piece to this collection presents a brief review of the emerging literature on the employee responses towards AM, especially investigating its impact on employee innovative behaviour. It also shows how the contributions included respond to the literature and how they add to our understanding of the implications of AM for organizations and employees. Finally, we propose an agenda for future research to further investigate the impact of AM on employee behaviour.

Mixed reality applications in upper extremity surgery: the future is now.

Mixed reality refers to the integration of virtual reality into the real-world environment. This digital content can be interacted with in real time. The emergence of mixed reality technology has been made possible by the introduction of head-mounted displays, which are being utilized across multiple surgical specialties. In upper extremity surgery, mixed reality has widespread applications in trauma, corrective surgery, arthroplasty, arthroscopy, and oncology. Preoperatively, mixed reality allows for complex 3D planning. Intraoperatively, surgeons can access this 3D data in a sterile environment. While in its infant stages, mixed reality is likely to become a powerful tool for intraoperative guidance and navigation. Mixed reality can change the paradigm of communication, as it allows the sharing of visual data from the surgeon's perspective, enabling remote assistance and participation.

Emerging New-Generation Semiconductor Single Crystals of Metal Halide Perovskites for Radiation Detection

Radiation detection uses semiconductor materials to convert high-energy photons into charge (direct detection) or low-energy photons (indirect detection), and it has a wide range of applications in nuclear physics, medical imaging, astronomical detection, homeland security, and other fields. Metal halide perovskites have the advantages of high frequency number, high carrier mobility, high defect tolerance, low defect density, adjustable band gap, and fast light response, and they have wide application prospects in the field of radiation detection. However, the research is still in its infancy stage, and it is far from meeting the requirements of industrial application. This paper focuses on the advantages of metal halide perovskite single-crystal materials in both semiconductors-based direct conversion detection and scintillator-based indirect detection as well as the latest progress in this promising field. This paper not only introduces the latest application of lead halide perovskite monocrystalline materials in high-energy electromagnetic radiation detection (X-ray and γ-rays), but it also introduces the latest development of α-particle/β-particle/neutron detection. Finally, this paper points out the challenges and future prospects of metal halide perovskite single-crystal materials in radiation detection.

Robust and Reversible Thermal/Electro‐Responsive Supramolecular Polymeric Adhesives via Synergistic Hydrogen‐Bonds and Ionic Junctions

Adhesive conducting elastomers are rising materials towards cutting‐edge applications in wearable and implantable soft electronics. Yet, engineering the conductive adhesives with robust and tunable interfacial bonding strength is still in its infancy stage. We herein identify a structurally novel supramolecular polymer scaffold, characterized by synergistic coexistence of hydrogen‐bonding (H‐bonding) interactions and electrostatic ionic junctions, endowing the robust and tunable elastic conducting adhesives with remarkable thermal/electro‐responsive performance. H‐bonding association and electrostatic interaction play orthogonal yet synergistic roles in the strong supramolecular adhesive formation, serving as the leveraging forces for opposing both cohesion and adhesion energy. To do so, six‐arm star‐shaped random copolymers P(DAP‐co‐Thy‐co‐MBT)6 are strategically designed, bearing H‐bonding PDAP (poly(diaminopyridine acrylamide)) and PThy (poly(thymine)) segments, which can form hetero‐complementary DAP/Thy H‐bonding association, along with conductive poly(ionic liquid)s segment: PMBT, (poly(1‐[2‐methacryloylethyl]‐3‐methylimidazolium bis(trifluoromethane)‐sulfonamide)). DAP/Thy H‐bonding association, along with electrostatic ionic interaction, can yield dual supramolecular forces crosslinked polymeric networks with robust cohesion energy. Moreover, coexistence of poly(ionic liquid)s can impact and interfere the configuration of H‐bonding association, liberate more free DAP and Thy motifs to form H‐bonds towards substrate, affording strong surface adhesion in a synergistic manner. This work demonstrates a significant forward step towards potential adhesives devoted to hybrid electronic devices.

Robust and Reversible Thermal/Electro-Responsive Supramolecular Polymeric Adhesives via Synergistic Hydrogen-Bonds and Ionic Junctions.

Adhesive conducting elastomers are rising materials towards cutting-edge applications in wearable and implantable soft electronics. Yet, engineering the conductive adhesives with robust and tunable interfacial bonding strength is still in its infancy stage. We herein identify a structurally novel supramolecular polymer scaffold, characterized by synergistic coexistence of hydrogen-bonding (H-bonding) interactions and electrostatic ionic junctions, endowing the robust and tunable elastic conducting adhesives with remarkable thermal/electro-responsive performance. H-bonding association and electrostatic interaction play orthogonal yet synergistic roles in the strong supramolecular adhesive formation, serving as the leveraging forces for opposing both cohesion and adhesion energy. To do so, six-arm star-shaped random copolymers P(DAP-co-Thy-co-MBT)6 are strategically designed, bearing H-bonding PDAP (poly(diaminopyridine acrylamide)) and PThy (poly(thymine)) segments, which can form hetero-complementary DAP/Thy H-bonding association, along with conductive poly(ionic liquid)s segment: PMBT, (poly(1-[2-methacryloylethyl]-3-methylimidazolium bis(trifluoromethane)-sulfonamide)). DAP/Thy H-bonding association, along with electrostatic ionic interaction, can yield dual supramolecular forces crosslinked polymeric networks with robust cohesion energy. Moreover, coexistence of poly(ionic liquid)s can impact and interfere the configuration of H-bonding association, liberate more free DAP and Thy motifs to form H-bonds towards substrate, affording strong surface adhesion in a synergistic manner. This work demonstrates a significant forward step towards potential adhesives devoted to hybrid electronic devices.

Arriving the optimum retarder dosage level of sugar on the setting time, compressive strength, and microstructure property of Portland pozzolana cement

AbstractCement and concrete are the most crucial and dominating engineering materials in the construction sector. Cement serves as an excellent binder for concrete and when it is treated under unusual conditions either to satisfy accelerating or retarding requirements by the construction industries, admixtures role comes into the effect. The construction industry has been searching for retarding admixtures and the optimal dosage level, particularly for ready mix concrete applications. Generally the retarding admixtures such as organic retarders (lignosulphonates, hydroxycarboxylic acids and their salts, phosphonates, sugars) or inorganic retarders (phosphonates, borates) were generally used to reduce the speed of the reaction between cement and water by altering the growth of the hydration products and/or limiting the rate of water penetration to the cement particles. The research was still in its infancy stage in terms of determining not just the appropriate dosage amount, but also the ideal retarder materials for the aforementioned uses. In considering this industrial need, an attempt was made on utilizing the usage of sugar in the concrete to study the retarding effect without affecting the strength properties of cement. The sugars usage levels were at 5, 10, 15, and 20% of the usage of cement to investigate consistency, setting time, compressive strength and micro structure properties at the curing age of 7, 14 and 28 days on the mortar specimens. The conclusions of the study reported that setting time was extended with increase of the dosage levels of sugar. However in considering the strength property, less than 5% of sugar dosage level can be better for the application as retarding agent in the industry applications.

Do Financial Community’s Tweet Sentiments Affect the Stock Market? Evidence from an Emerging Economy

In the era of social media and internet, Twitter (presently ‘X’) has been recognized as the prominent factor for financial markets by multiple corporates and experts. The motivation of present research hinges on burgeoning popularity of Twitter in the financial community for sharing information and impact of their hidden sentiments on financial markets. Research on tweet-based sentiments and their influence on financial markets in India is still in the infancy stage. To cover this gap, the present study empirically investigates the predictive impact of financial tweet sentiments on the Indian stock Index’s returns over a short period. The paper scraped 22,816 tweets and Nifty 50 index’s intraday hour end values for January 2023. Using Natural Processing Technique, the overall sentiments of the financial community are found as highly positive for each trading hour. Next, it presents a low positive correlation between positive sentiments, sentiment polarity, and hourly returns. Lagged negative sentiments reflect the better ability to impact current period returns than positive sentiments and polarity. Additionally, sentiment polarity and returns reflect bi-directional causation for the future period impact. Investors, stock market traders, and other practitioners can employ the proven concept of linkage between tweet sentiments and returns for constructing effective investment and trading strategies. JEL Classifications: G41, D53, G17, G02, G19

Local regulations for the use of artificial intelligence in the management of public records – a literature review

PurposeThis study investigated the regulatory landscape surrounding artificial intelligence (AI) in the context of e-government development. The purpose of this article is to identify record-keeping challenges, opportunities and weaknesses that emerge from AI loose regulation. The research focuses on Sweden, Finland and South Africa, examining the interplay between existing guidelines, recommendations and legal structures at various levels.Design/methodology/approachThe research adopted comprehensive systematic and scoping literature reviews, encompassing academic papers, reports and legal documents, along with an analysis of non-academic sources relevant to the study. This methodological approach helped to obtain a deep understanding of the evolving AI regulatory frameworks.FindingsThere is currently limited research that focuses on the impact AI deployment has on the management of critical records in government administrations. Also, the findings reveal that AI regulatory environment varies from country to country. The European Union stands as a noteworthy example of a comprehensive framework for AI governance. In contrast, South Africa, while at its infancy stage, demonstrates potential initiatives and policies at different levels. There is emphasis on the need to focus on co-operation, skills development and uniform regulatory frameworks.Practical implicationsThis research holds significant practical implications for policymakers, government bodies and stakeholders involved in AI governance. It emphasizes how crucial it is to incorporate AI alongside a solid records management system. The study advocates for strategic investments in education and skills development to enable individuals to navigate the complexities of AI governance.Originality/valueThis research adds to the existing body of knowledge by providing an examination of AI legislation in e-government in the context of public records management. The analysis helps to review literature and other research materials across different geographical areas. The study explores the distinctive strategies used by Sweden, Finland and South Africa. The recommendations offer policymakers and stakeholders suggestions on how to foster effective AI governance and innovation in the public sector but at the same time manage public records effectively.

Perspective on using non-human primates in Exposome research

The physiological and pathological changes in the human body caused by environmental pressures are collectively referred to as the Exposome. Human society is facing escalating environmental pollution, leading to a rising prevalence of associated diseases, including respiratory diseases, cardiovascular diseases, neurological disorders, reproductive development disorders, among others. Vulnerable populations to the pathogenic effects of environmental pollution include those in the prenatal, infancy, and elderly stages of life. Conducting Exposome mechanistic research and proposing effective health interventions are urgent in addressing the current severe environmental pollution. In this review, we address the core issues and bottlenecks faced by current Exposome research, specifically focusing on the most toxic ultrafine nanoparticles. We summarize multiple research models being used in Exposome research. Especially, we discuss the limitations of rodent animal models in mimicking human physiopathological phenotypes, and prospect advantages and necessity of non-human primates in Exposome research based on their evolutionary relatedness, anatomical and physiological similarities to human. Finally, we declare the initiation of NHPE (Non-Human Primate Exposome) project for conducting Exposome research using non-human primates and provide insights into its feasibility and key areas of focus. SynopsisNon-human primate models hold unique advantages in human Exposome research.

Environmental exposure to tobacco smoke and the onset of respiratory infections in neonatal, infant, and childhood stages: A systematic review

Environmental exposure to tobacco smoke and the onset of respiratory infections in neonatal, infant, and childhood stages: A systematic review

Markers of consciousness in infants: Towards a 'cluster-based' approach.

As recently as the 1980s, it was not uncommon for paediatric surgeons to operate on infants without anaesthesia. Today, the same omission would be considered criminal malpractice, and there is an increased concern with the possibility of consciousness in the earliest stage of human infancy. This concern reflects a more general trend that has characterised science since the early 1990s of taking consciousness seriously. While this attitude shift has opened minds towards the possibility that our earliest experiences predate our first memories, convincing demonstrations of infant consciousness remain challenging given that infants cannot report on their experiences. Furthermore, while many behavioural and neural markers of consciousness that do not rely on language have been validated in adults, no one specific marker can be confidently translated to infancy. For this reason, we have proposed the 'cluster-based' approach, in which a consensus of evidence across many markers, all pointing towards the same developmental period, could be used to argue convincingly for the presence of consciousness. CONCLUSION: We review the most promising markers for early consciousness, arguing that consciousness is likely to be in place by 5 months of age if not earlier.

7654 Unusual Case of Lipodystrophy: A Novel Disease Phenotype?

Abstract Disclosure: M. Celik Guler: None. E.D. Frontera: None. K. Hoose: None. M.C. Foss de Freitas: Advisory Board Member; Self; PTC Therapeutics. Speaker; Self; Amryt. L. Douyon: None. E.A. Oral: Advisory Board Member; Self; Amryt, Regeneron Pharmaceuticals. Consulting Fee; Self; Regeneron Pharmaceuticals, Amryt, Third Rock Ventures. Grant Recipient; Self; Regeneron Pharmaceuticals, Amryt. Research Investigator; Self; Novo Nordisk, Ionis Pharmaceuticals Inc., Fractyl, GI Dynamics, Rhythm Pharmaceuticals. Other; Self; Amryt. Background: Lipodystrophy syndromes (LD) are rare disorders characterized by varying degrees of adipose tissue deficiency that can predispose individuals to severe metabolic complications. Although these syndromes are traditionally subclassified based on inheritance patterns and the degree of adipose tissue loss, patients may exhibit highly heterogeneous clinical presentations. In this context, we report a unique case of partial lipodystrophy with an unusual distribution of adipose tissue that likely represents a novel syndrome and challenges conventional phenotypes. Clinical Case: A 60-year-old Puerto Rican female patient with medical history of type 1 diabetes mellitus (DM), obesity, hyperlipidemia, irritable bowel syndrome, asthma, and coronary artery disease was referred to us for unexplained asymmetric distribution of adipose tissue. She had chronic left posterolateral hip pain and lipoatrophy in her left lower extremity. Her medical history showed that she was born approximately 7 lbs., with no evidence of trauma during delivery. Her mother was given an unknown medication for improving circulation to the placenta. She had a morphea like rash on the arms and chest wall more prominent on the left upper body at birth. In addition, a dimple on her hip was noticed by her mother during the early stages of infancy. Despite the normal progression of neurological development (walking/climbing stairs), she always had a very mild limp. Also, her right arm was always 2 inches larger than her left arm. When she gained weight, she also put on more asymmetric weight on the left side of the abdomen and left lower torso. She had been treated with insulin injections since she was diagnosed with diabetes at the age of 11. She never demonstrated any islet cell specific antibodies. She had a normal weight until pregnancy at the age of 27, during which she gained 20 lbs. Her weight continued to increase over time, and the maximum was 212 lbs. Her examination reveals a BMI of 41.46 kg/m² with excess fat in the right arm, mid-section, left thigh, and left mons pubis. Conversely, only the left leg appears to demonstrate specific fat atrophy, with a near-total loss of adipose tissue starting from the mid-gluteal region. The hip MRI result reported moderate osteoarthritis of the left hip. EMG revealed signs of length-dependent sensorimotor axonal polyneuropathy and long duration/large amplitude motor unit potentials isolated only in the left medial gastrocnemius muscle. Triglyceride level was 73 mg/dL, HbA1c level was 6.8%, with an average total insulin dosage of around 43 IU/day. There was no history of pancreatitis due to hypertriglyceridemia. Conclusion: Our case highlights the heterogeneity of the lipodystrophy spectrum with a novel presentation of lipodystrophy. In addition, there may be homeostatic control of deposition of fat to seek symmetry between upper versus lower and right versus left sided depots. Presentation: 6/1/2024

(Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review

Background An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Data extraction activities associated with evidence synthesis have been described as time-consuming to the point of critically limiting the usefulness of research. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research translation value, better inform key policy development, and expand the current understanding of human interactions, organizations, and systems. Ongoing developments surrounding automation are highly concentrated in research for evidence-based medicine with limited evidence surrounding tools and techniques applied outside of the clinical research community. The goal of the present study is to extend the automation knowledge base by synthesizing current trends in the application of extraction technologies of key data elements of interest for social scientists. Methods We report the baseline results of a living systematic review of automated data extraction techniques supporting systematic reviews and meta-analyses in the social sciences. This review follows PRISMA standards for reporting systematic reviews. Results The baseline review of social science research yielded 23 relevant studies. Conclusions When considering the process of automating systematic review and meta-analysis information extraction, social science research falls short as compared to clinical research that focuses on automatic processing of information related to the PICO framework. With a few exceptions, most tools were either in the infancy stage and not accessible to applied researchers, were domain specific, or required substantial manual coding of articles before automation could occur. Additionally, few solutions considered extraction of data from tables which is where key data elements reside that social and behavioral scientists analyze.

Research advances of microbial transformation of CO2 in geological sequestration

Carbon capture, utilization and storage is the vital technology for China to achieve the goals of carbon peaking and carbon neutrality. Microbial activities in situ are an indispensable part in the process of geological CO2 sequestration. Some microorganisms can convert CO2 into methane and organics as the resource for utilization or into carbonate to achieve long-term sequestration. These activities contribute to the stable storage of CO2 and even negative carbon emission. This paper focuses on the processes of bio-methanation, bio-liquefaction, and bio-precipitation that may be involved in CO2 sequestration in deep stratum and discusses the research progress in the bio-transformation pathways. Bio-methanation and bio-liquefaction can convert CO2 into methane or high-value organic compounds to realize resource reuse. The two technologies can be used alone or coupled to expand the application range of CO2 biotransformation. Bio-mineralization can convert CO2 into calcite by microorganism-induced carbonate precipitation, being a technology of great potential in fixing CO2 and limiting CO2 escape. At present, this field is still in the infancy stage, and there is an urgent need to establish and improve the theoretical and technical systems of CO2 in-situ biotransformation from transformation principle, influencing factors, conversion efficiency, economy, environmental protection, and technological conditions. Moreover, it can be combined with CCUS to establish a technical system integrating capture, transport, displace, storage, transfer, and exploit, so as to promote the value-added application of CCUS and the achievement of carbon peaking and carbon neutrality.

Impact of Ergonomics Practices on Commercial Banks’ Employee Performance in Nepal: Evidence from Structural Equation Modeling

Background: Organizations today face multiple challenges to maintain the health and performance of employees. Ergonomics is a strategy to reduce occupational disease rates and improving general working conditions for employees in order to improve productivity. Despite the importance of ergonomics in workplace, research in this field is needed to be explored more. It is well practice in world but still new concept in Nepal. Objective: The objective of the study is to investigate “Impact of Ergonomics Practices on Commercial Banks’ Employee Performance in Kathmandu Valley”. Method: The Exploratory research design was adopted for the study with the foundation of Theory of Ergonomics. The population of this study consists of commercial banks’ employee in Kathmandu valley. Under the probability sampling technique, simple random sampling using structured questionnaire 203 responses are collected with the help of KOBO toolbox. SEM is used to analyse the impact of ergonomics practice in commercial Banks of Nepal. The data was statistically examined using descriptive and inferential analysis utilizing the structured questionnaire approach and the KOBO toolbox. Result: This study finds that ergonomics practice in Nepalese commercial bank as at infant stage. Physical ergonomics factor such as, work design area, thermal comfort, furniture, work hours, lighting has significant effect on employee performance respectively. Physical exhaustion, mental stress, back pain are most frequent problems faced by bankers. Mitigation over this problem by designing employee compatible workplace and adopting ergonomics intervention reduce mental stress, physical exhaustion, back pain and fatigue and motivates the employee and increase their performance. Conclusion: Ergonomics adoption on workplace to enhance the productivity level by reducing health related problem and building employee friendly work environment is milestone to enhance employee performance. Based on the finding and conclusion, the study recommends that work area design, thermal comfort, space, lighting should be considered while designing employee compatible workplace to enhance employee performance in Nepalese Commercial banks’ employee. Paper Types: Research Paper Keywords: Ergonomics, Employee Performance, Employee productivity, Employer health issue, Banks. JEL Classification: C13, C83, I12, J28, J81

Gig Workers: A Paradigm Shift in the Indian Workforce—A Bibliometric Analysis and Future Directions

Gig workers across India seem to be looming large. Though it is in its infancy stage, it has led to millions of jobs being created for workers. It can penetrate Indian urban towns and cities, connecting workers with consumers and clients. Currently, the gig-platform economy is aiming to unfold a paradigm shift. The gig-workers number is on the rise, but its nature happens to be temporary. Technology advancement linked to Industry 4.0, the global financial crisis of 2007–2009, and the Coronavirus-2019 abnormal emergency have led the gig economy to grow faster. The workforce is currently about 8 million in 2020–2021, found in India being employed, which which eventually increase. A bibliometric analysis is adopted in this study. Out of 247 documents retrieved, ranging from 2009 to 2022, 242 papers from Scopus were considered. Data visualization and quantitative analysis were done using VOSviewer and RStudio. Top cited countries, research contribution of countries, authors impact, most global cited documents, and journal impact are the analyses carried out using RStudio. Apart from this quantitative analysis, the findings of 11 articles were synthesized and tabulated. The overlay visualization of keywords revealed that a shift is taking place from digital platforms like information systems, information use, gamification, and crowdsourcing to COVID-19, workers, psychology, and human experiments. The keywords like “Employment”, “Workers”, “Human”, “Gig Economy”, and “HRM” have the highest frequency in the “word cloud”. Thus, human aspects like recognition, rewards, and health protections ought to be given importance for the work they are doing.

Quantum geometry quadrupole-induced third-order nonlinear transport in antiferromagnetic topological insulator MnBi2Te4

The study of quantum geometry effects in materials has been one of the most important research directions in recent decades. The quantum geometry of a material is characterized by the quantum geometric tensor of the Bloch states. The imaginary part of the quantum geometry tensor gives rise to the Berry curvature while the real part gives rise to the quantum metric. While Berry curvature has been well studied in the past decades, the experimental investigation on the quantum metric effects is only at its infancy stage. In this work, we measure the nonlinear transport of bulk MnBi2Te4, which is a topological anti-ferromagnet. We found that the second order nonlinear responses are negligible as required by inversion symmetry, the third-order nonlinear responses are finite. The measured third-harmonic longitudinal (Vxx3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xx}}^{3\\omega }$$\\end{document}) and transverse (Vxy3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xy}}^{3\\omega }$$\\end{document}) voltages with frequency 3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\omega$$\\end{document}, driven by an a.c. current with frequency ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\omega$$\\end{document}, show an intimate connection with magnetic transitions of MnBi2Te4 flakes. Their magnitudes change abruptly as MnBi2Te4 flakes go through magnetic transitions from an antiferromagnetic state to a canted antiferromagnetic state and to a ferromagnetic state. In addition, the measured Vxx3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xx}}^{3\\omega }$$\\end{document} is an even function of the applied magnetic field B while Vxy3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xy}}^{3\\omega }$$\\end{document} is odd in B. Amazingly, the field dependence of the third-order responses as a function of the magnetic field suggests that Vxx3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xx}}^{3\\omega }$$\\end{document} is induced by the quantum metric quadrupole and Vxy3ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${V}_{{xy}}^{3\\omega }$$\\end{document} is induced by the Berry curvature quadrupole. Therefore, the quadrupoles of both the real and the imaginary part of the quantum geometry tensor of bulk MnBi2Te4 are revealed through the third order nonlinear transport measurements. This work greatly advanced our understanding on the connections between the higher order moments of quantum geometry and nonlinear transport.