Python script for quantifying Ca2+ influx events in zebrafish embryos (Akieda et al.)
October, 2026 • Software
Akieda, Yuki, Ishitani, Tohru
Python script used to detect and quantify Ca²⁺ influx events from GCaMP7 time-lapse imaging data in zebrafish embryos, as described in Akieda et al., "Endogenous cell competition kills pathogenic…
Python script used to detect and quantify Ca²⁺ influx events from GCaMP7 time-lapse imaging data in zebrafish embryos, as described in Akieda et al., "Endogenous cell competition kills pathogenic de novo mutant cells but declines under pH stress" (Nature Communications). Baseline fluorescence (F₀) is estimated by a rolling 10th-percentile method, and peaks in ΔF/F₀ traces are detected using scipy.signal.find_peaks.
Grammaticalization and the puzzle of the longue durée
October, 2026 • Presentation
Haspelmath, Martin
This is the handout for a plenary talk at the conference "Grammaticalization and Diachronic Construction Grammar (Université Montpellier Paul Valéry, 2026 Sept 30 – Oct 2)"
Abstrac…
This is the handout for a plenary talk at the conference "Grammaticalization and Diachronic Construction Grammar (Université Montpellier Paul Valéry, 2026 Sept 30 – Oct 2)"
Abstract: Grammaticalization was originally associated with long-term typological changes (from isolating to agglutinating and fusional), and the unidirectionality of change is one of the more robust findings (e.g. Börjars & Vincent 2011). Still nowadays, grammaticalization is associated with typologically oriented linguists (see Heine et al. 2026), whereas corpus-based diachronic research tends to prefer ideas of Diachronic Construction Grammar (e.g. Traugott & Trousdale 2026). But how do the changes over the longue durée arise from the kinds of short-term changes that we can observe in our historical records? Instead of proposing a new answer to this big question, I will try to make progress by (i) advocating more precise definitions of key terms (such as clitic, affix, lexeme), (ii) calling for realism in understanding the mechanisms of change, (iii) situating phonetic reduction in producer-comprehender interaction, and (iv) redirecting the focus of attention to the core of grammaticalization: changes from free forms to grammatical markers.
Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meld…
Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
Artificial Intelligence Marketing Capability & Decision-Making Effectiveness: Evidence from Marketing Professionals in Saudi Arabia
September, 2026 • Journal article • International Journal of Research in Entrepreneurship & Business Studies
Elhatrea, Mohamed Hani Ramadan, Elgammal, Islam
Purpose: This study examines the effects of Artificial Intelligence Marketing Capability on Marketing Decision-Making Effectiveness and Quality of Data-Driven Insights. It further tests the effect and…
Purpose: This study examines the effects of Artificial Intelligence Marketing Capability on Marketing Decision-Making Effectiveness and Quality of Data-Driven Insights. It further tests the effect and mediating role of Quality of Data-Driven Insights, and the moderating role of Ethical AI Governance.
Design/methodology/approach: A mixed-methods design was employed using survey responses from 150 marketing professionals in Saudi Arabia and interviews with marketing and analytics practitioners. PLS-SEM was used to test the proposed relationships, while interview data were analysed thematically.
Findings: The findings indicate that Artificial Intelligence Marketing Capability contributes to more effective marketing decision-making. Quality Data-Driven Insights emerged as an important mechanism through which AI capability supports decision effectiveness. The qualitative evidence further highlighted faster responses, improved decision confidence, actionable insights, and the importance of ethical governance. Overall, the results suggest that the value of AI depends not only on technological capability but also on the quality of insights and governance practices.
Research Implications: The study extends the Resource-Based View by linking AI marketing capability with decision-making effectiveness through the quality of data-driven insights. It also brings ethical AI governance into the proposed framework as a contextual factor influencing the value of AI capability. By combining quantitative and qualitative evidence, the study provides a more integrated explanation of how technological capability, information quality, and governance interact in AI-supported marketing decisions.
Social Implications: Managers should focus on developing AI capabilities that produce reliable, relevant, and actionable marketing insights rather than adopting AI tools solely for technological advancement. Organisations should also strengthen employee expertise, data practices, transparency, accountability, and fairness in AI use. Clear governance procedures can improve confidence in AI-supported decisions while reducing potential risks. These measures can help organisations translate AI investments into more timely and informed marketing decisions.
Originality / Value: The study offers an integrated framework connecting AI Marketing Capability, Quality of Data-Driven Insights, Marketing Decision-Making Effectiveness, and Ethical AI Governance. Its distinctive contribution lies in examining insight quality as a mediating mechanism while considering ethical governance as a moderating factor. The mixed-methods design further combines statistical evidence with managerial perspectives, providing a broader view of how organisations can derive decision-making value from AI-enabled marketing capabilities.
Keywords:
JEL: M31, M15, O33, D81.
Artificial Intelligence MarketingMarketing Decision-MakingAI Marketing CapabilityData-Driven InsightsEthical AI Governance
Geotechnical Engineering Explained: Soil, Foundations & Earth System Design
October, 2026 • Lesson
Prep4Uni.Online
Geotechnical Engineering Explained: Soil, Foundations & Earth System Design is an open educational resource (OER) curriculum module establishing the continuum mechanics, subsurface testing protoco…
Geotechnical Engineering Explained: Soil, Foundations & Earth System Design is an open educational resource (OER) curriculum module establishing the continuum mechanics, subsurface testing protocols, and computational modeling paradigms governing earth-structure interactions.
The module establishes a rigorous geotechnical engineering foundation across nine specialized domains:
Subsurface Mechanics & Testing: Soil mechanics (Mohr-Coulomb shear criteria, Terzaghi 1D consolidation theory, Darcy's seepage law), rock mass characterization (RMR/GSI), in-situ exploration (SPT, CPTu piezocone, pressuremeter, borehole coring), and laboratory testing (triaxial compression, oedometer, Atterberg plasticity limits).
Foundation & Earth Retention Systems: Shallow spread/raft foundation bearing capacity, deep bored shafts and driven pile friction mechanics, retaining wall lateral earth pressures (Rankine/Coulomb), and deep excavation shoring.
Geotechnical Hazards & Ground Improvement: Limit equilibrium and finite element slope stability (infinite slope equilibrium, Bishop method of slices), seismic liquefaction triggers, deep soil mixing, dynamic compaction, vibro-replacement stone columns, and bio-mediated cementation (MICP).
Key Analytical & Technical Features:
Foundation System & Ground Modification Trade-off Matrix: Multi-variable comparison evaluating Shallow Spread Footings, Driven Precast Concrete Piles, Bored Cast-in-Situ Shafts, and Vibro-Stone Columns across load capacities, stratigraphy limits, vibration noise, and lifecycle risk allocation.
Worked Numerical Engineering Application: Multi-step Terzaghi bearing capacity derivation for continuous strip footings under general shear failure, calculating surcharge overburden contributions, ultimate capacity, allowable capacity (FS = 3.0), and permissible wall line loads.
Interactive Slope Stability & Landslide Simulator: Client-side dynamic canvas tool evaluating infinite hillside equilibrium, displaying pore water ratio degradation ($r_u$), driving gravity shear, and resisting strength vectors in runtime.
Comprehensive Multi-Tiered Assessment: Ten foundational concept reviews, seven scenario-based thought questions, and seven step-by-step numerical calculations (including vertical effective stress profiles, Terzaghi bearing capacity, net allowable pressures, one-dimensional consolidation settlement, Rankine active lateral forces, and constant-head permeability).
Geotechnical EngineeringSoil MechanicsFoundation DesignTerzaghi Bearing CapacitySlope Stabilit
Underlying Empirical Survey Microdata and Dynamic Mass-Flow Datasets for Sustainable Apple Pomace Reverse Logistics in South Korea
October, 2026 • Dataset
Han, Chae Min
This dataset contains curated, anonymized empirical survey microdata and dynamic mass-flow parameters collected from 59 commercial apple processing facilities across South Korea. All personal and ente…
This dataset contains curated, anonymized empirical survey microdata and dynamic mass-flow parameters collected from 59 commercial apple processing facilities across South Korea. All personal and enterprise identifying details have been permanently removed to ensure confidentiality. These data support the research findings on apple pomace reverse supply chain management and valorization.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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