[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"journal-human_economics_B1057f9a86":3},{"journal":4,"articles":44},["Reactive",5],{"id":6,"authors":7,"moderators":8,"owner":9,"title":10,"logo_file":11,"reviewer_contract_file":17,"author_contract_file":20,"preview":23,"abstract":24,"type_journal":25,"keywords":26,"is_openaccess":31,"doi":32,"eissn":33,"pissn":15,"no_eissn":31,"publication_fee":34,"global_discount_percent":35,"global_discount_end_date":36,"created":37,"reviewed":15,"published":15,"hash_value":38,"aims_scope":39,"author_guidelines":40,"editorial_board":41,"licensing_terms":42,"copyright_terms":43},1,[],[],13,"Positive Science - Economics",{"name":12,"size":13,"url":14,"body":15,"storage":16},"clientèle_cible_Les_banques_centrales.png",0,"https:\u002F\u002Fpub-85f9e79c9e524559860ded0d3d1ac9a1.r2.dev\u002Ffiles_repository\u002Fjournal\u002Flogos\u002F2025\u002F08\u002F14\u002Fclientèle_cible_Les_banques_centrales.png",null,"R2",{"name":18,"size":13,"url":19,"body":15,"storage":16},"Positive_Science_Economics_Author_Rights_Assignment_CC_BY_4__4roWxFQ.docx","https:\u002F\u002Fpub-85f9e79c9e524559860ded0d3d1ac9a1.r2.dev\u002Fjournal_contracts\u002Freviewer\u002FPositive_Science_Economics_Author_Rights_Assignment_CC_BY_4__4roWxFQ.docx",{"name":21,"size":13,"url":22,"body":15,"storage":16},"blank_template_GnsXqxZ.docx","https:\u002F\u002Fpub-85f9e79c9e524559860ded0d3d1ac9a1.r2.dev\u002Fjournal_contracts\u002Fauthor\u002Fblank_template_GnsXqxZ.docx","Positive Science - Economics is an open-access journal exploring the interconnections between society and the economy. It publishes interdisciplinary research that examines how social values, institutions, and behaviors influence economic systems - and how economic dynamics, in turn, shape human life and collective well-being.","Positive Science - Economics is an international, peer-reviewed, open-access journal publishing original research across the broad field of economics. The journal welcomes theoretical, empirical, applied, and policy-oriented studies in macroeconomics, microeconomics, finance, development, public economics, labour, education, health, international economics, economic history, environmental economics, digital economy, innovation, and related fields. We encourage rigorous, transparent, and reproducible scholarship with clear research questions, sound methodology, and relevance for academic debate, policy, business, and society. The journal is IMRaD-friendly and welcomes manuscripts structured as Introduction, Literature review, Methods, Results, and Discussion where appropriate, while also allowing flexible formats for theoretical, historical, qualitative, and interdisciplinary research.","Economic",[27,28,29,30],"Human","Economics","society","economy",true,"10.65957\u002Fjournal.1","9482-7540","2000.00","0.00","2026-08-01","2026-07-30T21:02:57.822531Z","human_economics_B1057f9a86","\u003Ch1>Aims &amp; Scope\u003C\u002Fh1>\u003Ch2>Aims\u003C\u002Fh2>\u003Cp>\u003Cstrong>Positive Science - Economics\u003C\u002Fstrong> is an international, peer-reviewed, open-access journal publishing original research across the broad field of economics and related areas of economic inquiry.\u003C\u002Fp>\u003Cp>The journal welcomes rigorous theoretical, empirical, applied, and policy-oriented research that advances understanding of how economies, markets, institutions, firms, governments, households, and individuals make decisions and respond to economic, social, technological, environmental, and political change.\u003C\u002Fp>\u003Cp>Our aim is to provide a professional and inclusive publication venue for high-quality economic research, with particular emphasis on clear research questions, sound methodology, transparent reasoning, and relevance for academic debate, public policy, business practice, and society.\u003C\u002Fp>\u003Cp>Positive Science - Economics encourages submissions from scholars working in different traditions of economics, including applied economics, macroeconomics, finance, development economics, public economics, labour economics, international economics, economic history, political economy, and interdisciplinary economic research.\u003C\u002Fp>\u003Cp>We are especially interested in papers that combine analytical clarity with real-world relevance, use data or theory responsibly, and communicate their contribution in a way that is accessible to a broad community of economists and social scientists.\u003C\u002Fp>\u003Ch2>Scope\u003C\u002Fh2>\u003Cp>The journal considers original research articles in, but not limited to, the following areas:\u003C\u002Fp>\u003Ch3>Macroeconomics, monetary economics, and economic policy\u003C\u002Fh3>\u003Cp>Macroeconomic theory and policy; economic growth; business cycles; inflation; unemployment; fiscal policy; monetary policy; central banking; public debt; macroeconomic modelling and forecasting; income distribution; productivity; structural change; institutions and the macroeconomy; crises and economic resilience.\u003C\u002Fp>\u003Ch3>Finance, banking, and financial markets\u003C\u002Fh3>\u003Cp>Financial economics; banking; financial intermediation; corporate finance; household finance; asset pricing; financial markets; financial regulation; fintech; payment systems; financial crises; risk, uncertainty, and expectations; the role of finance in economic development and innovation.\u003C\u002Fp>\u003Ch3>Applied microeconomics and empirical economics\u003C\u002Fh3>\u003Cp>Applied econometrics; causal inference; program and policy evaluation; field and natural experiments; survey-based research; microdata analysis; household and firm behaviour; consumer behaviour; market design; industrial organisation; competition; innovation; entrepreneurship; and technology adoption.\u003C\u002Fp>\u003Ch3>Development economics and emerging economies\u003C\u002Fh3>\u003Cp>Economic development; poverty and inequality; formal and informal economies; institutions and development; industrialisation; foreign aid; international organisations; rural, urban, and regional development; demographic change; infrastructure; development policy; country studies; and Global South perspectives.\u003C\u002Fp>\u003Ch3>Labour, education, health, and demographic economics\u003C\u002Fh3>\u003Cp>Labour markets; employment; wages; migration; skills; human capital; education systems and policies; returns to education; health economics; public health systems; health behaviour; pandemics; population ageing; fertility; family economics; gender; inequality; and social mobility.\u003C\u002Fp>\u003Ch3>Public economics, political economy, and institutions\u003C\u002Fh3>\u003Cp>Public finance; taxation; redistribution; welfare policy; regulation; governance; public administration; political institutions; corruption; conflict; sanctions; war and the economy; collective decision-making; institutional change; and the interaction between economic and political systems.\u003C\u002Fp>\u003Ch3>International economics, trade, and regional economics\u003C\u002Fh3>\u003Cp>International trade; trade policy; global value chains; exchange rates; international finance; economic integration; migration; regional economics; urban and rural economies; cross-border capital and labour flows; and the economic effects of globalisation and fragmentation.\u003C\u002Fp>\u003Ch3>Environmental, energy, and resource economics\u003C\u002Fh3>\u003Cp>Environmental economics; climate change; energy markets; natural resources; sustainability; green transition; agriculture; food systems; resource policy; environmental regulation; climate risks; and the economic consequences of ecological and technological transformation.\u003C\u002Fp>\u003Ch3>Digital economy, innovation, and AI in economics\u003C\u002Fh3>\u003Cp>Digital transformation; artificial intelligence; data economy; platform economies; innovation systems; intellectual property; science, technology, and innovation policy; digital labour markets; automation; productivity; and the economic implications of emerging technologies.\u003C\u002Fp>\u003Ch3>Economic history, history of economic thought, and methodology\u003C\u002Fh3>\u003Cp>Economic history; long-run development; historical political economy; history of economic thought; philosophy and methodology of economics; measurement in economics; reproducibility; research transparency; and the evolution of economic ideas, institutions, and practices.\u003C\u002Fp>\u003Ch2>Methodological approaches\u003C\u002Fh2>\u003Cp>Positive Science - Economics welcomes a wide range of methodological approaches, including:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>theoretical and analytical research;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>empirical and applied econometric studies;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>experimental, quasi-experimental, and survey-based research;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>computational, simulation-based, and data-driven approaches;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>qualitative and mixed-methods studies where appropriate to the research question;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>comparative, historical, and institutional analysis.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Submissions are assessed primarily on the clarity and importance of the research question, the appropriateness of the method, the transparency of the argument, and the originality of the contribution.\u003C\u002Fp>\u003Ch2>Submission expectations\u003C\u002Fh2>\u003Cp>Submitted manuscripts should demonstrate:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>a clear contribution to economic research or economic debate;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>coherent argumentation and a well-defined research question;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>appropriate theoretical, empirical, or methodological design;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>transparent reporting of assumptions, data, methods, and limitations;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>adherence to research ethics and full disclosure of conflicts of interest;\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>where feasible, availability of data, code, and methodological details, or a clear statement explaining access restrictions.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>We welcome well-executed studies with null, mixed, or unexpected findings when they make an original scholarly contribution. We also welcome replication and reproducibility studies that provide meaningful insight for the field.\u003C\u002Fp>\u003Ch2>Peer review and editorial principles\u003C\u002Fh2>\u003Cp>All submissions undergo anonymous double-blind peer review by at least two independent experts. Editorial decisions are based on scholarly merit, methodological soundness, originality, transparency, and relevance to the journal’s scope. Decisions are made independently of authors’ institutional affiliation, nationality, seniority, or funding source.\u003C\u002Fp>\u003Ch2>Article types\u003C\u002Fh2>\u003Cp>Positive Science - Economics currently accepts \u003Cstrong>Original Research Articles\u003C\u002Fstrong> only.\u003C\u002Fp>","\u003Cp>\u003Cstrong>Profile.\u003C\u002Fstrong> \u003Cem>Positive science - Economics\u003C\u002Fem> is a fully open access (gold OA) journal in economics. We accept \u003Cstrong>Original Research Articles only\u003C\u002Fstrong>—theoretical, qualitative, mixed-methods, and empirical—across a broad field. The scope on our site is \u003Cstrong>illustrative, not exhaustive\u003C\u002Fstrong>; we also consider other areas of economics.\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong>Submission package (minimal)\u003C\u002Fstrong>\u003C\u002Fp>\u003Col>\u003Cli>\u003Cp>\u003Cstrong>Anonymized manuscript\u003C\u002Fstrong> — no names, affiliations, acknowledgements, or identifying metadata.\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Title page\u003C\u002Fstrong> — title; all authors &amp; affiliations; ORCID iDs; corresponding author; funding\u002Facknowledgements; \u003Cstrong>conflicts of interest\u003C\u002Fstrong>.\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Abstract\u003C\u002Fstrong> (150–200 words), \u003Cstrong>keywords\u003C\u002Fstrong>, and \u003Cstrong>JEL codes\u003C\u002Fstrong>.\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Data\u002FCode Availability Statement\u003C\u002Fstrong> (link or clear explanation of restrictions, where applicable).\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Tables\u002Ffigures with captions; equations numbered; consistent English (EN-UK or EN-US).\u003Cbr>\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Fol>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong>Peer review &amp; process\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Manuscripts undergo \u003Cstrong>anonymous peer review in accordance with our Peer Review Policy\u003C\u002Fstrong>.\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Flow: \u003Cstrong>receipt → initial screening (fit &amp; basic requirements) → anonymous peer review → decision → APC invoice → publication\u003C\u002Fstrong>.\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Publication occurs immediately after the author’s payment is confirmed.\u003Cbr>\u003C\u002Fstrong>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>There is \u003Cstrong>no Editor-in-Chief role\u003C\u002Fstrong>; decisions are issued by the editorial team under approved policies.\u003Cbr>\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Rights &amp; open access\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Authors \u003Cstrong>assign exclusive economic rights to the publisher\u003C\u002Fstrong> (copyright transfer).\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>The Version of Record is distributed under \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002Fdeed.en\">\u003Cstrong>\u003Cu>Creative Commons CC BY 4.0\u003C\u002Fu>\u003C\u002Fstrong>\u003Cu> \u003C\u002Fu>\u003C\u002Fa>(fully compliant with \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.coalition-s.org\u002Ffaq\u002Fwhich-licences-are-compliant-with-plan-s-2\u002F\">Plan S\u003C\u002Fa>). 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Instead, our model rests on two pillars designed to maximize rigor, speed, and transparency:\u003C\u002Fp>\u003Ch2>1) Reviewer Pool: our peer-review engine\u003C\u002Fh2>\u003Cp>A vetted pool of subject-matter, methods, and data\u002Fcode reviewers works according to our standardized review methodology and timelines, following an anonymous, double-blind review process under our Peer Review Policy.\u003C\u002Fp>\u003Cp>Reviewer identities remain confidential.\u003C\u002Fp>\u003Ch2>2) Advisory Board: strategic guidance\u003C\u002Fh2>\u003Cp>Our Advisory Board brings together senior researchers and experienced practitioners from academia, business, and the public sector—people with experience in expert workflows, research operations, panel management, evidence synthesis, quality assurance, service design for reviewers, and research governance.\u003C\u002Fp>\u003Cp>More information about the Advisory Board, including its role and member profiles, is available here:\u003Cbr>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fpositive-science.com\u002Fexperts\">https:\u002F\u002Fpositive-science.com\u002Fexperts\u003C\u002Fa>\u003C\u002Fp>\u003Cp>Advisory Board members do not act as Editors in the traditional sense: they do not handle manuscripts and do not make accept\u002Freject decisions. 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They are protected by the publisher’s rights and require separate permission for use outside the article.\u003C\u002Fp>\u003Cp>\u003Cstrong>Author warranties.\u003C\u002Fstrong> By submitting, authors warrant that:\u003Cbr>— the work is original, not under consideration elsewhere, and does not infringe third-party rights;\u003Cbr>— all necessary permissions for third-party content have been obtained;\u003Cbr>— ethical and confidentiality requirements have been met;\u003Cbr>— all funding sources and \u003Cstrong>conflicts of interest\u003C\u002Fstrong> are fully disclosed;\u003Cbr>— all co-authors have approved the submission and publication.\u003C\u002Fp>\u003Cp>\u003Cstrong>Corrections, expressions of concern, and retractions.\u003C\u002Fstrong> The journal follows community standards for issuing corrections, expressions of concern, and retractions. In case of retraction, the VoR is clearly marked and remains accessible to preserve the scholarly record.\u003C\u002Fp>",["Reactive",45],[46,90],{"id":47,"hash_value":48,"authors":49,"title":59,"source_file":60,"preview":69,"abstract":70,"type_article":71,"journal":6,"keywords":72,"is_openaccess":31,"published":79,"submitted":80,"volume":15,"issue_number":15,"start_page":15,"end_page":15,"subject_classification":81,"full_text_url":15,"other_identifiers":82,"journal_name":10,"journal_hash":38,"journal_issn":15,"journal_eissn":33,"journal_pissn":15,"journal_publisher":83,"journal_doi":32,"journal_is_openaccess":31,"journal_license_url":15,"journal_keywords":84,"journal_languages":85,"cover_image":15,"views_count":86,"downloads_count":87,"citations_count":13,"crossref_citations_count":13,"crossref_citations_updated_at":88,"doi":89},17,"when_readiness_is_not_enough_explaining_the_ai_ado_39BdF6655f",[50,54],{"email":51,"first_name":52,"last_name":53,"affiliation":15},"hansini@blueoceaninsights-lk.com","Hansini","Pramudika",{"email":55,"first_name":56,"last_name":57,"affiliation":58},"tajan@blueoceaninsights-lk.com","Madhura","Fernando","Blue Ocean Insights Pvt Ltd","When Readiness Is Not Enough: Explaining the AI Adoption Paradox in Organisations from a Developing Economy",{"name":61,"size":62,"url":63,"body":15,"storage":16,"debug":64},"published_submission_update_21E92a3687_Anonymized_m_6x2nmaL.pdf",506941,"https:\u002F\u002Fpub-85f9e79c9e524559860ded0d3d1ac9a1.r2.dev\u002Ffiles_repository\u002Farticles\u002F2026\u002F05\u002F21\u002Fpublished_submission_update_21E92a3687_Anonymized_m_6x2nmaL.pdf",{"storage_class":65,"endpoint_url":66,"bucket_name":67,"original_name":68},"R2Storage","https:\u002F\u002F5b8c610638cc24862ba982bd21b12167.r2.cloudflarestorage.com","repositories","files_repository\u002Farticles\u002F2026\u002F05\u002F21\u002Fpublished_submission_update_21E92a3687_Anonymized_m_6x2nmaL.pdf","","Artificial intelligence (AI) adoption is increasingly recognised as a strategic driver of productivity growth, innovation efficiency, resource optimisation, and sustainable economic competitiveness in knowledge-intensive organisations. Particularly in developing economies, firms invest in AI technologies to enhance operational performance, strengthen strategic decision-making, and create long-term economic value. However, organisational readiness does not always translate into successful implementation. This study examines the determinants of AI adoption and introduces the concept of the AI Adoption Paradox, where readiness conditions fail to produce corresponding adoption. Using survey data from 410 professionals across knowledge-intensive sectors in Sri Lanka, Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied. The findings reveal that AI awareness, technological infrastructure, and top management support positively influence AI adoption, while digital skills readiness demonstrates a significant inverse relationship. Organisational culture significantly moderates the relationship between digital skills readiness and AI adoption. The findings suggest that sustainable AI adoption depends not only on readiness, but on an organisation’s ability to convert readiness into behavioural acceptance and strategic economic value.","scientific journal article",[73,74,75,76,77,78],"AI adoption","Artificial intelligence","Digital skills readiness","Organisational culture","Technological infrastructure","Top management support","2026-05-21T12:44:03.885232Z","2026-05-21T12:44:12.893804Z",[],[],"Positive Science SAS France, Strasbourg",[27,28,29,30],[],64,21,"2026-07-15T14:40:45.189671Z","10.65957\u002Farticle.17",{"id":91,"hash_value":92,"authors":93,"title":98,"source_file":99,"preview":69,"abstract":105,"type_article":71,"journal":6,"keywords":106,"is_openaccess":31,"published":110,"submitted":111,"volume":15,"issue_number":15,"start_page":15,"end_page":15,"subject_classification":112,"full_text_url":15,"other_identifiers":113,"journal_name":10,"journal_hash":38,"journal_issn":15,"journal_eissn":33,"journal_pissn":15,"journal_publisher":83,"journal_doi":32,"journal_is_openaccess":31,"journal_license_url":15,"journal_keywords":114,"journal_languages":115,"cover_image":15,"views_count":116,"downloads_count":117,"citations_count":13,"crossref_citations_count":13,"crossref_citations_updated_at":118,"doi":119},16,"time_series_modeling_and_forecasting_of_nepse_inde_2a7955Db29",[94],{"email":95,"first_name":96,"last_name":97,"affiliation":15},"nichalstha21@gmail.com","Nischal","Shrestha","Time Series Modeling and Forecasting of NEPSE Index: An ARIMA\u002FSARIMA Approach with Market Efficiency Evidence",{"name":100,"size":101,"url":102,"body":15,"storage":16,"debug":103},"published_submission_update_Cf07661f99_manuscriptarima.pdf",344007,"https:\u002F\u002Fpub-85f9e79c9e524559860ded0d3d1ac9a1.r2.dev\u002Ffiles_repository\u002Farticles\u002F2026\u002F05\u002F11\u002Fpublished_submission_update_Cf07661f99_manuscriptarima.pdf",{"storage_class":65,"endpoint_url":66,"bucket_name":67,"original_name":104},"files_repository\u002Farticles\u002F2026\u002F05\u002F11\u002Fpublished_submission_update_Cf07661f99_manuscriptarima.pdf","Forecasting stock market behavior remains an important issue for investors, policymakers, and financial researchers, particularly in emerging markets where market volatility and informational inefficiencies may influence investment decisions. Despite growing interest in forecasting the Nepal Stock Exchange (NEPSE) index, existing studies have primarily focused on conventional ARIMA-based approaches without sufficiently incorporating rolling-window out-of-sample evaluation and benchmark comparison within the context of weak-form market efficiency.\nAddressing this gap, the present study examines the forecasting performance of the NEPSE daily closing index using an ARIMA\u002FSARIMA-based time series framework and compares the selected model with a naïve random walk benchmark. The study utilized 1,157 daily observations of the NEPSE index and applied descriptive statistics, Augmented Dickey–Fuller stationarity testing, autocorrelation analysis, SARIMA model selection procedures, residual diagnostic testing, and rolling-window one-step-ahead forecasting techniques. Based on model selection criteria, seasonal structure, and diagnostic adequacy, SARIMA (3,1,0) (2,0,0) [5] was selected as the final forecasting model. The findings revealed that the SARIMA model generated slightly lower forecasting errors than the naïve benchmark during the window evaluation period, although the forecasting gains remained economically modest.\nConsequently, the results are broadly consistent with weak-form market efficiency, suggesting that historical price information provides only a limited predictive advantage in forecasting the NEPSE index. Residual diagnostic analysis further indicated the presence of remaining volatility clustering, implying that future studies may benefit from integrating GARCH-type volatility models. Overall, the study contributes to the growing NEPSE forecasting literature by incorporating rolling-window out-of-sample forecasting and benchmark comparison within a seasonal time series framework. \nKeywords: NEPSE, SARIMA, Stock Market Forecasting, Time Series Analysis, Rolling-Window Forecasting, Weak-Form Market Efficiency.",[107,108,109],"ARIMA","NEPSE","Forecasting","2026-05-11T20:12:29.132608Z","2026-05-11T20:12:36.114607Z",[],[],[27,28,29,30],[],88,15,"2026-07-28T03:13:40.210534Z","10.65957\u002Farticle.16"]