cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jmrkd86j52
title: The NKTg Law on Varying Inertia Applied Across 150 Programming Languages

description: The NKTg Law on Varying Inertia Applied Across 150 Programming Languages
• Independent researcher: Nguyễn Khánh Tùng
• ORCID: 0009-0002-9877-4137
• Email: traiphieu.com@gmail.com
• Website: https://traiphieu.com
Abstract / Introduction
The NKTg Law on Varying Inertia describes the tendency of an object in motion depending on its position, velocity, and mass. The law is expressed as:
NKTg = f(x, v, m)
Where:
• x = position/displacement relative to a reference point
• v = velocity
• m = mass
Two primary quantities define the movement tendency:
NKTg₁ = x × p
NKTg₂ = (dm/dt) × p
Where:
• p = m × v (linear momentum)
• dm/dt = rate of mass change over time
• NKTg₁ represents the product of position and momentum
• NKTg₂ represents the product of mass variation and momentum
• The unit of measurement is NKTm, representing a unit of varying inertia
The sign and magnitude of these quantities determine motion tendencies:
• If NKTg₁ &gt; 0 → object tends to move away from the stable state
• If NKTg₁ &lt; 0 → object tends to move toward the stable state
• If NKTg₂ &gt; 0 → mass variation supports motion
• If NKTg₂ &lt; 0 → mass variation resists motion
Stable state is defined as a configuration where x, v, and m interact to maintain motion structure without losing control.
________________________________________
Programming Languages
The NKTg Law is implemented in the following 150 programming languages:
Python, C++, Java, C, C#, JavaScript, TypeScript, PHP, Ruby, Swift, Go, Rust, Kotlin, Dart, Scala, R, MATLAB, Julia, Haskell, Perl, Shell, SQL, Visual Basic, Assembly, Ada, Fortran, Prolog, Scheme, Lisp, Scratch, Smalltalk, Pascal, Groovy, PowerShell, Apex, ABAP, ActionScript, Algol, Alice, AmbientTalk, AngelScript, APL, Arc, Arduino, ASP.NET, AssemblyScript, ATS, AWK, Ballerina, BASIC, VHDL, Verilog, Assembly, AutoHotkey, AutoLISP, AWK, Bash, bc, Boo, Clojure, COBOL, Common Lisp, Crystal, D, Delphi/Object Pascal, Dylan, Eiffel, Elixir, Elm, Emacs Lisp, Erlang, F#, Factor, Falcon, Fantom, Felix, Forth, Fortress, Frink, Gambas, GAMS, GAP, Genie, GLSL, Hack, Haxe, HDL, HLSL, Hope, HTML, HyperTalk, Icon, IDL, Inform, Io, Ioke, J, J#, JScript, JavaFX Script, Io, Ioke, J, J#, JScript, Julia, Kotlin, LabVIEW, Ladder Logic, Lasso, Lava, Lisp, LiveCode, Logo, Lua, M4, Magik, Maple, Mathematica, MATLAB, Mercury, Modula-2, Modula-3, MoonScript, Nemerle, NetLogo, Nim, Nix, Objective-C, Objective-J, OCaml, OpenCL, OpenEdge ABL, Oz, PL/I, PL/SQL, PostScript, Promela, Pure, Q#, Racket, RAPID, REBOL, Red, Rexx, Ring, Solidity, SPARK, SPSS, Squirre
DOI: 10.17632/jmrkd86j52.2
title: The NKTg Law on Varying Inertia Applied Across 150 Programming Languages

description: The NKTg Law on Varying Inertia Applied Across 150 Programming Languages
• Independent researcher: Nguyễn Khánh Tùng
• ORCID: 0009-0002-9877-4137
• Email: traiphieu.com@gmail.com
• Website: https://traiphieu.com
Abstract / Introduction
The NKTg Law on Varying Inertia describes the tendency of an object in motion depending on its position, velocity, and mass. The law is expressed as:
NKTg = f(x, v, m)
Where:
• x = position/displacement relative to a reference point
• v = velocity
• m = mass
Two primary quantities define the movement tendency:
NKTg₁ = x × p
NKTg₂ = (dm/dt) × p
Where:
• p = m × v (linear momentum)
• dm/dt = rate of mass change over time
• NKTg₁ represents the product of position and momentum
• NKTg₂ represents the product of mass variation and momentum
• The unit of measurement is NKTm, representing a unit of varying inertia
The sign and magnitude of these quantities determine motion tendencies:
• If NKTg₁ &gt; 0 → object tends to move away from the stable state
• If NKTg₁ &lt; 0 → object tends to move toward the stable state
• If NKTg₂ &gt; 0 → mass variation supports motion
• If NKTg₂ &lt; 0 → mass variation resists motion
Stable state is defined as a configuration where x, v, and m interact to maintain motion structure without losing control.
________________________________________
Programming Languages
The NKTg Law is implemented in the following 150 programming languages:
Python, C++, Java, C, C#, JavaScript, TypeScript, PHP, Ruby, Swift, Go, Rust, Kotlin, Dart, Scala, R, MATLAB, Julia, Haskell, Perl, Shell, SQL, Visual Basic, Assembly, Ada, Fortran, Prolog, Scheme, Lisp, Scratch, Smalltalk, Pascal, Groovy, PowerShell, Apex, ABAP, ActionScript, Algol, Alice, AmbientTalk, AngelScript, APL, Arc, Arduino, ASP.NET, AssemblyScript, ATS, AWK, Ballerina, BASIC, VHDL, Verilog, Assembly, AutoHotkey, AutoLISP, AWK, Bash, bc, Boo, Clojure, COBOL, Common Lisp, Crystal, D, Delphi/Object Pascal, Dylan, Eiffel, Elixir, Elm, Emacs Lisp, Erlang, F#, Factor, Falcon, Fantom, Felix, Forth, Fortress, Frink, Gambas, GAMS, GAP, Genie, GLSL, Hack, Haxe, HDL, HLSL, Hope, HTML, HyperTalk, Icon, IDL, Inform, Io, Ioke, J, J#, JScript, JavaFX Script, Io, Ioke, J, J#, JScript, Julia, Kotlin, LabVIEW, Ladder Logic, Lasso, Lava, Lisp, LiveCode, Logo, Lua, M4, Magik, Maple, Mathematica, MATLAB, Mercury, Modula-2, Modula-3, MoonScript, Nemerle, NetLogo, Nim, Nix, Objective-C, Objective-J, OCaml, OpenCL, OpenEdge ABL, Oz, PL/I, PL/SQL, PostScript, Promela, Pure, Q#, Racket, RAPID, REBOL, Red, Rexx, Ring, Solidity, SPARK, SPSS, Squirre
DOI: 10.17632/d79jttdxyc.3
title: Fork-MMEJ

description: Original images of western blot
DOI: 10.15468/dl.u7uyuk
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Carlowrightia pectinata"
 ]
}

 The dataset includes 363 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001996-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r69mzph3jj
title: Isolation and characterization of human respiratory syncytial virus from pangolin

description: Figure 1. Clinical symptoms and gross lesions of the deceased Malay pangolin (M31). 
Figure 2. Lung and trachea lesions of a deceased Malay pangolin (M31).
Figure 3. Phylogenetic analysis of pangolin RSV based on wholegenome sequences.
Figure 4. Tissue tropism of RSV.
Figure 5. Isolation and characterization of pangolin RSV. 
Table 1: RSV-A infection in captive Malayan pangolins.
Table 2: Neutralizing antibody levels of captive Malayan pangolins.
Table 3: RSV-neutralizing activity of Pangolin breeders.
Supplementary Table 1: Hematological results of RSV-infected Malay pangolins (M31).
Supplementary Table 2: Primers used in the present study.
Supplementary Table 3: Test results for respiratory viruses in pangolin.
Supplementary Table 4: RSV-A infection in captive Chinese pangolins.
Supplementary Table 5: RSV-A infection in environmental samples.
Supplementary Figure 1: Admission chest radiography (CXR) of Malay pangolin (M31)admitted with shortness of breath. 
Supplementary Figure 2: Lesions of the deceased Malay pangolin (M31) subjected to immunohistochemistry for RSV fusion protein.
Supplementary Figure 3: IFA observation of RSV-F protein expression in various tissue homogenates inoculated with Hep-2 cells.
Four whole genome sequence of Respiratory Syncytial Virus
DOI: 10.17632/r69mzph3jj.1
title: Isolation and characterization of human respiratory syncytial virus from pangolin

description: Figure 1. Clinical symptoms and gross lesions of the deceased Malay pangolin (M31). 
Figure 2. Lung and trachea lesions of a deceased Malay pangolin (M31).
Figure 3. Phylogenetic analysis of pangolin RSV based on wholegenome sequences.
Figure 4. Tissue tropism of RSV.
Figure 5. Isolation and characterization of pangolin RSV. 
Table 1: RSV-A infection in captive Malayan pangolins.
Table 2: Neutralizing antibody levels of captive Malayan pangolins.
Table 3: RSV-neutralizing activity of Pangolin breeders.
Supplementary Table 1: Hematological results of RSV-infected Malay pangolins (M31).
Supplementary Table 2: Primers used in the present study.
Supplementary Table 3: Test results for respiratory viruses in pangolin.
Supplementary Table 4: RSV-A infection in captive Chinese pangolins.
Supplementary Table 5: RSV-A infection in environmental samples.
Supplementary Figure 1: Admission chest radiography (CXR) of Malay pangolin (M31)admitted with shortness of breath. 
Supplementary Figure 2: Lesions of the deceased Malay pangolin (M31) subjected to immunohistochemistry for RSV fusion protein.
Supplementary Figure 3: IFA observation of RSV-F protein expression in various tissue homogenates inoculated with Hep-2 cells.
Four whole genome sequence of Respiratory Syncytial Virus
DOI: 10.17632/yvxpwg8sx6
title: Nookiin: Python software to build commensurable multilayer heterostructures

description: Many first-principles packages employ periodic and symmetry conditions to reduce the computational time and cost. The supercell (SC) method is useful to address periodic systems with different physical perturbations; however, the theoretical definition of a specific SC is a real challenge in Crystallography and Solid State Physics studies. In particular, whether the system is commensurable and made of several two-dimensional (2D) layers with different Bravais lattice, initial local stacking, and interlayer relative orientation. This work presents Nookiin (from the junction of Yucatec Maya words, Nook: ’knit’ or ’wave’; and iin: ’me’), an open-source Python code, designed for the efficient generation of commensurable SCs using geometric methods. Nookiin has an efficient algorithm that minimizes structural distortions at a geometric level, providing an optimized approach for representing 2D heterostructures with a reduced number of atoms. Its modular architecture facilitates adaptation to different problems. Its use through both an interactive console interface and programmatic implementation allows seamless integration into scientific workflows. Additionally, Nookiin offers tools for structural visualization and export of configurations compatible with first-principles codes such as the Vienna ab initio Simulation Package (VASP) code [17]. This report presents the theoretical foundations of the method, the computational implementation of the algorithm, and the results obtained that validate its effectiveness in generating commensurable SCs. With these characteristics, Nookiin establishes itself as a versatile and alternative resource for research in Solid State Physics and Materials Science. The software is openly available at github.com/OssielAg/Nook-iin, with a citable release archived at doi.org/10.5281/zenodo.15706528.
DOI: 10.15468/dl.tqbam6
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Dicliptera haenkeana"
 ]
}

 The dataset includes 103 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001998-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yvxpwg8sx6.1
title: Nookiin: Python software to build commensurable multilayer heterostructures

description: Many first-principles packages employ periodic and symmetry conditions to reduce the computational time and cost. The supercell (SC) method is useful to address periodic systems with different physical perturbations; however, the theoretical definition of a specific SC is a real challenge in Crystallography and Solid State Physics studies. In particular, whether the system is commensurable and made of several two-dimensional (2D) layers with different Bravais lattice, initial local stacking, and interlayer relative orientation. This work presents Nookiin (from the junction of Yucatec Maya words, Nook: ’knit’ or ’wave’; and iin: ’me’), an open-source Python code, designed for the efficient generation of commensurable SCs using geometric methods. Nookiin has an efficient algorithm that minimizes structural distortions at a geometric level, providing an optimized approach for representing 2D heterostructures with a reduced number of atoms. Its modular architecture facilitates adaptation to different problems. Its use through both an interactive console interface and programmatic implementation allows seamless integration into scientific workflows. Additionally, Nookiin offers tools for structural visualization and export of configurations compatible with first-principles codes such as the Vienna ab initio Simulation Package (VASP) code [17]. This report presents the theoretical foundations of the method, the computational implementation of the algorithm, and the results obtained that validate its effectiveness in generating commensurable SCs. With these characteristics, Nookiin establishes itself as a versatile and alternative resource for research in Solid State Physics and Materials Science. The software is openly available at github.com/OssielAg/Nook-iin, with a citable release archived at doi.org/10.5281/zenodo.15706528.
DOI: 10.17632/xjs7828y62
title: Feasibility of digitizing multiple tissue-level implants without scan bodies for fixed dental prostheses

description: A mandibular typodont model containing two tissue-level implants - a regular-platform (RP) implant in the premolar region and a wide-platform (WP) implant in the molar region - was digitized. Three intraoral scanners (TRIOS 5, Primescan, and DCS Scan) and one laboratory scanner (E4, reference) were used to perform 16 scans each, both with and without a scan body. The resulting dataset comprised three-dimensional coordinate data used to calculate linear deviations (x, y, z), angular deviations, and vector deviations.
DOI: 10.17632/xjs7828y62.1
title: Feasibility of digitizing multiple tissue-level implants without scan bodies for fixed dental prostheses

description: A mandibular typodont model containing two tissue-level implants - a regular-platform (RP) implant in the premolar region and a wide-platform (WP) implant in the molar region - was digitized. Three intraoral scanners (TRIOS 5, Primescan, and DCS Scan) and one laboratory scanner (E4, reference) were used to perform 16 scans each, both with and without a scan body. The resulting dataset comprised three-dimensional coordinate data used to calculate linear deviations (x, y, z), angular deviations, and vector deviations.
DOI: 10.17632/gkhdzs2zrp
title: Hydrodynamic Characteristics and Particle Separation Efficiency in a Combined Hydrocyclone-Filtration Device

description: Research Hypotheses
This study is based on the central hypothesis that integrating cyclonic separation and porous media filtration within a single device creates a synergistic effect, significantly enhancing the removal of fine suspended particles from aquaculture tailwater. This synergy and the overall system performance can be optimized by adjusting three categories of parameters: structural (e.g., column length, cone angle), operational (e.g., inlet flow rate), and filter media properties (e.g., layer thickness).
Data Content
The research employed a combined numerical and experimental approach. Preliminary characterization of the pond tailwater revealed that the suspended particle sizes were predominantly distributed within the range of 0–150 μm, thereby defining the primary treatment target. Using Computational Fluid Dynamics (CFD), a validated numerical model simulated the solid-liquid two-phase flow, generating detailed data on internal hydrodynamics (tangential velocity, pressure distributions) and separation efficiency for 50, 100, and 150 μm particles under varied parameters. These simulations were corroborated by experiments conducted on a geometrically scaled physical model, confirming model reliability with deviations under 10%.
Significant Findings
1.Structural Innovation: Designed an integrated hydrocyclone-filtration device by replacing the hydrocyclone’s conical section with multi-layer sintered metal mesh, balancing cyclonic separation and filtration advantages.
2.Comprehensive Analysis: Established a CFD numerical model (LES turbulence model, validated via physical tests with deviations &lt;10%) to systematically analyze structural, operational, and filter material parameters’ effects on flow field characteristics (tangential velocity, pressure gradient, vortex intensity) and separation efficiency.
3.Key Findings: Identified parameter influence rules (e.g., separation efficiency peaks at 450 mm column length; filter layer thickness strengthens vortex intensity) and optimal configuration (370 mm column length, 18° cone angle, 45 mm overflow diameter, 1.0 mm filter thickness), achieving 80.3% separation efficiency for 150 μm particles.
4.Mechanism & Sensitivity: Clarified the coupling mechanism of flow field and separation performance; ANOVA confirms the influence order: filter layer thickness &gt; column section length &gt; cone angle &gt; overflow outlet diameter (filter layer thickness, P&lt;0.01).
DOI: 10.17632/gkhdzs2zrp.2
title: Hydrodynamic Characteristics and Particle Separation Efficiency in a Combined Hydrocyclone-Filtration Device

description: Research Hypotheses
This study is based on the central hypothesis that integrating cyclonic separation and porous media filtration within a single device creates a synergistic effect, significantly enhancing the removal of fine suspended particles from aquaculture tailwater. This synergy and the overall system performance can be optimized by adjusting three categories of parameters: structural (e.g., column length, cone angle), operational (e.g., inlet flow rate), and filter media properties (e.g., layer thickness).
Data Content
The research employed a combined numerical and experimental approach. Preliminary characterization of the pond tailwater revealed that the suspended particle sizes were predominantly distributed within the range of 0–150 μm, thereby defining the primary treatment target. Using Computational Fluid Dynamics (CFD), a validated numerical model simulated the solid-liquid two-phase flow, generating detailed data on internal hydrodynamics (tangential velocity, pressure distributions) and separation efficiency for 50, 100, and 150 μm particles under varied parameters. These simulations were corroborated by experiments conducted on a geometrically scaled physical model, confirming model reliability with deviations under 10%.
Significant Findings
1.Structural Innovation: Designed an integrated hydrocyclone-filtration device by replacing the hydrocyclone’s conical section with multi-layer sintered metal mesh, balancing cyclonic separation and filtration advantages.
2.Comprehensive Analysis: Established a CFD numerical model (LES turbulence model, validated via physical tests with deviations &lt;10%) to systematically analyze structural, operational, and filter material parameters’ effects on flow field characteristics (tangential velocity, pressure gradient, vortex intensity) and separation efficiency.
3.Key Findings: Identified parameter influence rules (e.g., separation efficiency peaks at 450 mm column length; filter layer thickness strengthens vortex intensity) and optimal configuration (370 mm column length, 18° cone angle, 45 mm overflow diameter, 1.0 mm filter thickness), achieving 80.3% separation efficiency for 150 μm particles.
4.Mechanism & Sensitivity: Clarified the coupling mechanism of flow field and separation performance; ANOVA confirms the influence order: filter layer thickness &gt; column section length &gt; cone angle &gt; overflow outlet diameter (filter layer thickness, P&lt;0.01).
DOI: 10.17632/3hrfykstvr
title: DynHeMat: A program for zero-point averaged dynamics of pure and doped helium nanodroplets

description: DynHeMat is a parallel program aimed at modeling the dynamics of pure and doped helium nanodroplets (HNDs) by means of zero-point averaged dynamics (ZPAD), a method where the quantum nature of helium atoms is taken into account through the use of a He-He pseudopotential which includes zero-point effects of helium clusters on an average manner. Three He-He pseudopotentials, defined for applications in different contexts, are implemented. Large HNDs can be formed by successive coalescences of smaller HNDs keeping in mind that, depending on the HND size and He-He pseudopotential in use, the liquid character of the HND is more or less pronounced. Files containing the positions and velocities of HNDs formed with the three aforementioned He-He pseudopotentials are collected in a local databank, called ZPAD_DB. ZPAD simulations can be carried out at constant energy or temperature, then enabling the user to investigate collision, coagulation or submersion processes in pure or doped HNDs. Impurities can be rare-gas atoms (Ne, Ar, Kr, Xe and Rn), alkali atoms (Li, Na, K, Rb, Cs), or homogeneous clusters composed of such atoms. The program provides information on trajectories, namely positions, velocities, energies, radial distribution functions, and the initial distribution of HND surface atoms. Extension to other impurities or He-He pseudopotentials is made possible by the current structure of the program and keyword system.
DOI: 10.17632/3hrfykstvr.1
title: DynHeMat: A program for zero-point averaged dynamics of pure and doped helium nanodroplets

description: DynHeMat is a parallel program aimed at modeling the dynamics of pure and doped helium nanodroplets (HNDs) by means of zero-point averaged dynamics (ZPAD), a method where the quantum nature of helium atoms is taken into account through the use of a He-He pseudopotential which includes zero-point effects of helium clusters on an average manner. Three He-He pseudopotentials, defined for applications in different contexts, are implemented. Large HNDs can be formed by successive coalescences of smaller HNDs keeping in mind that, depending on the HND size and He-He pseudopotential in use, the liquid character of the HND is more or less pronounced. Files containing the positions and velocities of HNDs formed with the three aforementioned He-He pseudopotentials are collected in a local databank, called ZPAD_DB. ZPAD simulations can be carried out at constant energy or temperature, then enabling the user to investigate collision, coagulation or submersion processes in pure or doped HNDs. Impurities can be rare-gas atoms (Ne, Ar, Kr, Xe and Rn), alkali atoms (Li, Na, K, Rb, Cs), or homogeneous clusters composed of such atoms. The program provides information on trajectories, namely positions, velocities, energies, radial distribution functions, and the initial distribution of HND surface atoms. Extension to other impurities or He-He pseudopotentials is made possible by the current structure of the program and keyword system.
DOI: 10.17632/3wf9x284h6
title: TDSA-HOTS-AIL

description: The Mediating Role of Higher-Order Thinking Skills in the Relationship Between Technological Development Speed Anxiety and AI Literacy Among Pre-service Teachers
DOI: 10.17632/3wf9x284h6.1
title: TDSA-HOTS-AIL

description: The Mediating Role of Higher-Order Thinking Skills in the Relationship Between Technological Development Speed Anxiety and AI Literacy Among Pre-service Teachers