Melnik, Elena

37 files · 444 MB · tiffdeclared

This data set contains thermographic images for the visualisation of watermarks. An IRCAM Equus 327k with Watermark Imager software (Fraunhofer) version 8.416 (R2016b) was used.

Tsui, Claire · Briga, Michael · Komdeur, Jan · et al.

56 files · 8.9 MB · csvdeclared

Data and code for analysis in manuscript titled "Asynchrony of ageing among traits in a wild bird population" Dataframes ending with"_28_5.csv" and "survival_model.csv" are used in scripts model1-13, of which the output is plotted using "new model outputs.R" Code for Figures 1 and 2 are in script "new model outputs.R" asymmetry bivar ver3.R runs the bivariate models used to estimate the degree of synchrony of ageing. scripts starting with "aic.." are used in the analysis for age by lifespan interaction

Melnik, Elena

49 files · 591 MB · tiffdeclared

This data set contains thermographic images for the visualisation of watermarks. An IRCAM Equus 327k with Watermark Imager software (Fraunhofer) version 8.416 (R2016b) was used.

Kim, Ah Young · Kim, Jin Su · Ko, Jung Yun · et al.

3 files · 307 KB · pdf, xlsxdeclared

This dataset contains the source data associated with the manuscript entitled "Overexpression of SlMPBQMT (VTE3) enhances α-tocopherol accumulation and reduces oxidative stress in tomato." The uploaded files include the original experimental data used to generate the figures and analyses presented in the manuscript, including: HPLC quantification of α-tocopherol. Plant phenotype measurements. qRT-PCR expression data. DAB and NBT staining quantification data. These data are provided to ensure transparency, reproducibility, and compliance with the data availability policy of BMC Plant Biology .

Bell, Peter

2 files · 14 MB · pdf, zipdeclared

This working paper asks how Canada should assess strategic resource infrastructure that may not earn a commercial return on its own. A road, port, power system, pipeline, smelter, or processing plant can appear uneconomic when evaluated as an individual asset while still enabling new production, preserving difficult-to-replace processing capacity, supporting several users, or improving security of supply. The paper develops a framework for deciding when public support for such an asset may be justified. Its central rule is that an asset-level loss is defensible only when it produces wider benefits that are specific, measurable, and subject to effective public oversight. The analysis draws on Canadian wartime industrial mobilization, concentration in critical-mineral supply chains, proposed support for processing capacity at Trail, current infrastructure and northern development programs, and cautionary cases involving mining subsidies, managed decline, remote transport, and major-project governance. The paper converts the argument into a twelve-question approval test and a measurement framework for tracking public cost, avoided closure, new production, secure supply, shared infrastructure use, and signs of failure. It does not recommend a particular project and does not argue that all loss-making assets deserve public support. Its purpose is to distinguish infrastructure that creates durable public value from subsidy, bailout, or white-elephant risk.

Chen, Hang

1 files · 151 MB · zipdeclared

What's Changed Add GPT API-based multi-agent system for automated ERT workflows by @geohang with @Copilot in https://github.com/geohang/PyHydroGeophysX/pull/3 Add multi-LLM provider support and position agent system for cross-modal geophysics by @geohang with @Copilot in https://github.com/geohang/PyHydroGeophysX/pull/4 Add ClimateDataAgent for PyDaymet integration with ERT workflows by @geohang with @Copilot in https://github.com/geohang/PyHydroGeophysX/pull/5 Add ClimateDataAgent integration for cross-modal climate-ERT reasoning by @geohang with @Copilot in https://github.com/geohang/PyHydroGeophysX/pull/6 New Contributors @geohang with @Copilot made their first contribution in https://github.com/geohang/PyHydroGeophysX/pull/3 Full Changelog : https://github.com/geohang/PyHydroGeophysX/compare/1.0...v0.3.0

Tabiri, Josephine Konamah

1 files · 11 MB · zipdeclared

This repository contains photographic images from six stores used in my thesis reserach. The files document the visual material analyzed in the study.

Anazawa, Katsuro

1 files · 11 MB · pdfdeclared

The authorship of the Pauline epistles, particularly the Pastoral Epistles (1 and 2 Timothy and Titus), remains contested in biblical scholarship. Quantitative stylometry can contribute to this debate, but supervised approaches risk circular reasoning when they depend on predefined "core Pauline" labels, and lexical measures risk topic bias when distinctive vocabulary reflects subject matter rather than authorial style. This study proposes a transparent, sensitivity-oriented workflow for examining stylistic boundaries within the New Testament corpus. Using lemmatized Greek texts, it combines BM25 weighting, principal component analysis, hierarchical and k-means clustering, sensitivity analysis across alternative definitions of the Core Pauline letters, function-word-only analysis, and SHAP-based model interpretation. The results show that the Pastoral Epistles consistently occupy a region of stylometric space distinct from the Core Pauline letters; Deutero-Pauline letters tend to occupy a more intermediate position, while the Pastorals remain in the lowest tier of relative Core-likeness across core definitions. The pattern persists when content vocabulary is removed, suggesting that the observed divergence is not solely attributable to a topic-specific lexicon. The study does not claim to determine historical authorship definitively, especially given the absence of an externally verified Pauline stylome. Instead, it provides convergent quantitative evidence for a stable stylistic boundary that any historical account of the Pastorals-single-author, amanuensis-mediated, Pauline-school, or pseudonymous-must explain. The workflow illustrates how explainable machine learning can support transparent and reproducible stylometric analysis in small historical corpora. An earlier extended version is available at https://doi.org/10.5281/zenodo.18503648.

Dr. Ratheeswari K · Prof. Vasimalairaja M

1 files · 256 KB · pdfdeclared

Mobile learning apps have become a significant tool in modern education, especially for high school students. This study examines the influence of mobile learning apps on the academic performance of high school students in Dindigul District, considering factors such as gender, locality, school management type, and medium of instruction. A sample of 400 students was selected, comprising 180 males and 220 females, 220 from urban areas and 180 from rural areas, 190 from government schools and 210 from private schools, and 185 Tamil-medium and 215 English-medium students. The findings suggest that mobile learning apps positively impact academic performance, with variations observed across different demographic groups. The study highlights the potential of mobile learning in bridging educational gaps and recommends tailored approaches to maximize its benefits.

Anokhina, Tetiana · Годинчук, С. В.

1 files · 392 KB · pdfdeclared

Культурно-специфічні метафори в художньому перекладі є відображенням національних традицій, історичного досвіду та ментальних особливостей народу, що зумовлює труднощі їх інтерпретації іншою мовою. Питання взаємозв'язку мови, культури та метафори досліджували Джордж Лейкофф та Пітер Ньюмарк. На основі їхніх праць можна виокремити основні способи перекладу культурно маркованих метафор: пряме відтворення, адаптацію до культури реципієнта, заміну аналогічним образом, описовий переклад і нейтралізацію образності, що забезпечує збереження смислової та стилістичної цілісності тексту.

Lafleur, Trevor · Rawoof, Shaik · Bowden, George · et al.

13 files · 762 KB · xlsxdeclared

Datasets correspond to data used/presented in the open-access paper: T. Lafleur, R. Shaik, G. Bowden, D. Petty, and C. Corr, "Frequency-Agile Matching of Inductively Coupled Plasmas", Plasma Sources Science and Technology, accepted (2026) Specific files correspond to the data presented in the relevant figures of the above paper: Sweep_Prf_56ugs.xlsx: Data for the thruster at a fixed mass flow rate of 56 ug/s and different powers. The columns indicate different system properties. Used in Figures 3 and 4. Sweep_mdot_7W.xlsx: Data for the thruster at a fixed power of 7 W and different mass flow rates. The columns indicate different system properties. Used in Figures 3 and 4. Sweep_freq_56ugs_7W.xlsx: Data for the thruster at a fixed power and mass flow rate of 7 W and 56 ug/s respectively, and different frequencies. The columns indicate different system properties. Used in Figure 5. Agile_Sweep_Prf_56ugs.xlsx: Data for the thruster at a fixed mass flow rate of 56 ug/s and different powers, and with frequency-agile matching used. The columns indicate different system properties. Used in Figure 6. Agile_Sweep_Prf_56ugs_Fixed.xlsx: Data for the thruster at a fixed mass flow rate of 56 ug/s and different powers, and with the frequency fixed. The columns indicate different system properties. Used in Figure 6. Sweep_2D.xlsx: Data for the thruster at difference powers and mass flow rates, and with frequency-agile matching used. Each sheet indicates 2D data for the relevant property in that sheet. Used in Figure 7. Sweep_2D_Fixed.xlsx: Data for the thruster at difference powers and mass flow rates, and with the frequency fixed. Each sheet indicates 2D data for the relevant property in that sheet. Used in Figure 7. Torch_Sweep_mdot_800W.xlsx: Data for the torch at a fixed power of 800 W and different mass flow rates. The columns indicate different system properties. Used in Figure 8. Torch_Sweep_freq_100mgs_800W.xlsx: Data for the torch at a fixed power and mass flow rate of 800 W and 100 mg/s respectively, and different frequencies. The columns indicate different system properties. Used in Figure 9. Agile_Torch_Sweep_mdot_800W.xlsx: Data for the torch at a fixed power of 800 W and different mass flow rates, and with frequency-agile matching used. The columns indicate different system properties. Used in Figure 10. Agile_Torch_Sweep_mdot_800W_Fixed.xlsx: Data for the torch at a fixed power of 800 W and different mass flow rates, and with the frequency fixed. The columns indicate different system properties. Used in Figure 10. Torch_Sweep_2D.xlsx: Data for the torch at difference powers and mass flow rates, and with frequency-agile matching used. Each sheet indicates 2D data for the relevant property in that sheet. Used in Figure 11. Torch_Sweep_2D_Fixed.xlsx: Data for the torch at difference powers and mass flow rates, and with the frequency fixed. Each sheet indicates 2D data for the relevant property in that sheet. Used in Figure 11.

Fidelis Edonyabo · Onofere Princewill Okereka Ph.d · Akpomuvire Mukoro Ph.d

1 files · 584 KB · pdfdeclared

Abstract: The study examined the role of job autonomy in enhancing employee performance in Delta State government hospitals. The study adopted Self-Determination Theory as theoretical framework for this study. The study utilized both qualitative and quantitative sources of data. The study revealed that participation in decision-making emerged as another significant predictor of employee performance, as it fosters a sense of ownership, accountability, and commitment to organisational goals. Moreover, clear work criteria, which outline performance expectations and task priorities, were shown to enhance employee confidence and consistency, leading to better outcomes in healthcare service delivery. In conclusion, the study highlights the transformative potential of job autonomy in enhancing employee performance, offering actionable strategies for improving public healthcare systems in Nigeria and beyond. The study recommended that to boost morale and enhance employee commitment, hospital management should involve staff in decision-making processes, especially in areas directly affecting their work. Structured mechanisms, such as staff committees or regular feedback sessions, should be established to gather input on scheduling, resource allocation, and patient care strategies. Hospital administrators should ensure that work criteria are well-defined and effectively communicated to employees. These criteria should outline performance expectations, task priorities, and quality standards to guide staff in their daily operations.

Levine, Jonathan · MacEachern, Leonard

1 files · 510 KB · zipdeclared

Supplementary artifact for the IEEE Embedded Systems Letters manuscript "Threshold-Based Batch Normalization for Integer-Only Binarized Neural Network Inference" by Jonathan Levine and Leonard MacEachern. The package contains FPGA HLS sources, exported trained-network parameters, ECDF/statistics data, TCL reproduction scripts, selected logs and reports, and helper scripts for the MNIST, CERN jet-substructure tagging, and UNSW-NB15 workloads. It supports the paper's threshold-export formulation for integer-only dense BNN inference and the Alveo U250 HLS results reported in the manuscript. Repository: https://github.com/maceacla/tbbn-bnn-hls

inquantio

2 files · 2.2 MB · pdfdeclared

Published in Nature Astronomy, this study demonstrates a novel pathway where polyglycine peptide chains spontaneously form through the condensation of atomic carbon, skipping the stage of amino acid formation, by simulating the environment of interstellar clouds in space. The polymerization could occur spontaneously in a cryogenic environment of about 10 K because quantum chemical calculations revealed that this is a barrierless reaction requiring no external energy. By revealing that polymers can be formed through the combination of carbon monoxide (CO), atomic carbon (C), and ammonia (NH₃) without water or irradiation, this research presents disruptive evidence for astrobiology and the study of the origin of life. [Quantum Biology Society] How protein peptide chains, the fundamental building blocks of life, could spontaneously form in the extreme environment of space prior to the emergence of life has long been an unsolved mystery. This is because for molecules to combine and undergo polymerization, a certain level of activation energy is required, and overcoming this energy barrier has been considered thermodynamically impossible in interstellar molecular clouds where the temperature is a mere 10 K. The paper titled "A pathway to peptides in space through the condensation of atomic carbon," published as open access in the international journal Nature Astronomy, experimentally proves that this classical limitation has been completely overcome through a chemical mechanism known as a barrierless reaction. S. A. Krasnokutski and a joint research team from the Max Planck Institute for Astronomy in Germany led this innovative study. ■ The Pathway to Life Synthesis in Space Opened by Barrierless Chemical Reactions The research team conducted experiments in an ultrahigh vacuum chamber at cryogenic temperatures to precisely mimic the surface environment of cold solid particles (cosmic dust) in space. The experimental results confirmed that three of the most abundant species present in star-forming molecular clouds—carbon monoxide (CO), atomic carbon (C), and ammonia (NH₃)—react to form isomeric polyglycine monomers (aminoketene molecules). According to quantum chemical calculations, this is surprisingly a barrierless reaction, meaning there is no activation energy barrier to overcome. As a result, the molecules could undergo spontaneous chemical reactions at a cryogenic temperature of 10 K without the aid of external thermal energy. ■ A Revolutionary Mechanism Skipping the Amino Acid Stage The most revolutionary aspect of this mechanism is that, unlike traditional protein synthesis pathways, it entirely skips the stage of amino acid formation. The researchers demonstrated that without irradiation or the presence of water, aminoketene molecules formed under cryogenic conditions can encounter each other and polymerize highly efficiently to produce peptide chains of various lengths. This strongly supports the possibility that biopolymers spontaneously formed in the space environment could have been delivered to rocky planets in the habitable zone, acting as a crucial seed for the origin of life. This study is evaluated as a monumental astrobiological achievement, showing that the quantum chemically proven barrierless reaction is a core driving force leading the macroscopic origin of life even in extreme space environments. #QuantumBiology #OriginOfLife #Astrobiology #PeptideFormation #AtomicCarbon #BarrierlessReaction #Astrochemistry #InterstellarMedium #ExtremeEnvironment #Biophysics https://www.nature.com/articles/s41550-021-01577-9

inquantio

2 files · 1.1 MB · pdfdeclared

A study published on bioRxiv proposes the paradigm of 'Particle Biology', moving beyond classical mechanics to explain the extreme efficiency of living organisms. Biological binding, such as ligand-receptor interactions, is reinterpreted not as a classical geometric lock-and-key model, but as a complex 'quantum many-body system'. The state of all biological systems is defined by the Unified Biological Hamiltonian equation (Ĥ_bio), which includes the interactions of electronic states, nuclear structures, coupling, and thermal fluctuations. [Quantum Biology Society] The extreme efficiency demonstrated by living organisms is difficult to fully explain through classical mechanics alone. Quantum tunneling, superposition, and coherence observed in core biological processes like enzyme catalysis and energy conversion are not mere environmental noise; rather, they are core driving mechanisms honed through a long evolutionary process. Recently, a study that presents a new perspective of 'Particle Biology', aiming to understand biological phenomena at the particle level, has been published, drawing significant attention from academia. The paper titled "Particle Biology: A Perspective on a First-Principles Theory of Life" , published in the preprint repository bioRxiv, proposes an integrative paradigm that explains biology through the fundamental principles of physics. A joint research team, including Peng Wang, Yanlei Ge, and Guogui Sun from Hebei Medical University and North China University of Science and Technology in China, established this innovative theoretical framework. ■ 'Quantum Many-Body System' Beyond the Lock-and-Key Model According to this new paradigm, biological binding processes, such as ligand-receptor complex formation, are not simply classical and geometric 'lock-and-key' puzzles. They must be understood as a complex 'quantum many-body system' where numerous particles interact through molecular orbital overlap and quantum superposition. The researchers explain that this perspective opens a new path to controlling life phenomena at the subatomic level, overcoming the limitations of conventional biochemical pathway modulation. ■ Declaration of the Unified Biological Hamiltonian (Ĥ_bio) This study introduces a Unified Biological Hamiltonian equation (Ĥ_bio = Ĥ_electronic + Ĥ_nuclear + Ĥ_coupling + Ĥ_environment) that can fundamentally describe the dynamic state of all biological systems. It suggests that biological functions emerge from the continuous quantum interactions among electronic states (Ĥ_electronic), nuclear structures (Ĥ_nuclear), vibronic coupling between them (Ĥ_coupling), and stochastic thermal fluctuations (Ĥ_environment), as represented in this equation. This provides a crucial theoretical foundation that integratively explains biological binding and mechanisms through the first principles of physics. #ParticleBiology #FirstPrinciplesOfLife #BiologicalHamiltonian #QuantumBiology #QuantumPhysics #Biophysics #LifePhenomena #QuantumDynamics #UnifiedTheory #KoreanQuantumBiologySociety https://www.biorxiv.org/content/10.64898/2026.05.17.725705v1

inquantio

2 files · 836 KB · pdfdeclared

A study published on bioRxiv demonstrates for the first time the technique of treating protein sequences like sentences in natural language processing (NLP) and parsing them into parameterized quantum circuits using the Quantum Natural Language (QNLP) framework. It establishes a scheme that converts protein sequences into tensor networks represented by wires and boxes, and maps them onto actual quantum circuits through semantic functors. By generating protein syntax trees with a neural network-based parser and converting them into string diagrams optimized for quantum processor execution, the study proves that 'Quantum Tensor Networks (QTN)' achieve overwhelming computational accuracy in classifying vast protein sequences. [Quantum Biology Society] An innovative approach has been proposed to decode protein sequences—the most fundamental and complex codes of living organisms—by converting them into a natural language that quantum computers can comprehend. The paper titled "Application of Quantum Tensor Networks for Protein Classification" , published in the preprint repository bioRxiv, introduces a groundbreaking pipeline that applies Quantum Natural Language Processing (QNLP) technology to protein sequence classification, opening a new horizon for next-generation bioinformatics. A research team from Pennsylvania State University, including Debarshi Kundu, Jian Wang, Archisman Ghosh, and Nikolay Dokholyan, led this innovative study. ■ QNLP: Reading Protein Sequences as Sentences The researchers introduced a unique perspective of treating protein sequences, which are arrays of amino acids, as if they were sentences composed in human language. To achieve this, they adopted the 'Quantum Natural Language (QNLP)' framework, which combines state-of-the-art computational natural language processing (NLP) techniques with quantum computing. Within this framework, protein sequences are parsed into syntax trees with grammatical structures through a neural network-based parser, laying the foundation for their direct conversion into parameterized quantum circuits. ■ Transformation into Tensor Networks and String Diagrams In this process, protein sequences are converted into a tensor network scheme, geometrically represented by wires and boxes. The researchers defined a sophisticated semantic function (functor) that perfectly maps this abstract network to the operational structure of actual quantum circuits. The generated syntax trees are ultimately transformed into string diagrams, a format optimized for execution on quantum processors. Consequently, the constructed Quantum Tensor Networks (QTN) demonstrated overwhelming computational accuracy in machine learning tasks that involve extracting features and functionally classifying highly diverse and complex protein sequences, even in environments with a limited number of available qubits. This demonstration is highly significant as it establishes a powerful workflow in drug discovery and biotechnology, enabling rapid and accurate analysis of massive genomic data and protein interaction structures through quantum algorithms, transcending the limits of conventional classical computers. #QuantumTensorNetworks #QNLP #ProteinClassification #QuantumMachineLearning #QuantumLanguageModel #ProteinSequenceAnalysis #QuantumBiology #Biophysics #ArtificialIntelligence #KoreanQuantumBiologySociety https://www.biorxiv.org/content/10.1101/2024.03.11.584501v1

TAN, Kwan Hong

1 files · 567 KB · pdfdeclared

Many firms adopt artificial intelligence as a tool while failing to redesign capabilities around it. This paper develops an original Artificial Intelligence Capability Architecture for Asian service firms. Using integrative theory building, it synthesizes dynamic capabilities, resource-based advantage, organizational learning, and responsible technology governance. The study proposes five mutually reinforcing capabilities including data discipline, workflow recomposition, human judgment orchestration, trust governance, and adaptive learning. The framework explains how firms convert artificial intelligence investment into defensible business value while reducing implementation drift, employee resistance, and governance risk.

Anonymous

6 files · 4.5 MB · xlsxdeclared

Replication package for the paper submitted to SE4FP 2026

Yoonsu Lee

1 files · 24 MB · pdfdeclared

Recent work in quantum gravity has revealed that closed universes appear to admit only a one-dimensional Hilbert space, implying zero information content. The leading resolution by Harlow, Usatyuk, and Zhao (arXiv:2501.02359, January 2025), featured in Quanta Magazine (November 2025), introduces observers as external additions to restore complexity. We demonstrate that this approach is self-contradictory: it resolves a closed universe problem by opening the universe, introducing boundaries in a system defined by their absence. We present a fundamentally different resolution. By proving that the open/closed distinction is itself a declaration and establishing observer-universe equivalence (O ≡ U), we derive the Totality Theorem: T = O + U = 1. The one-state result is not a paradox but a correct description of completeness: Shannon entropy H = 0 indicates full knowledge, not emptiness. We show that dimensionality itself is an artifact of partition, not a feature of reality. From three relations alone - T = 1, O ≡ U, dO = -dU - and a single structural principle (the Law of Identity A = A generates the binary partition A + ¬A = 1 with unique fixed point A = ¬A = 0.5), we resolve problems across every foundational domain: the unification of the four laws of thermodynamics as facets of a single identity, the black hole information paradox, the cosmological constant discrepancy, the Collatz and twin prime conjectures, Wigner's 67-year mystery of mathematical effectiveness, and the dissolution of Gödel's incompleteness as a property of notation rather than truth. All results derive from A = A.