cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3jrfa3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
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 "TaxonKey is one of (Chalcolestes viridis, Chalcostephia, Chalcostephia flavifrons, Chlorocypha, Chlorocypha aphrodite, Chlorocypha aurora, Chlorocypha cancellata, Chlorocypha consueta, Chlorocypha curta, Chlorocypha cyanifrons, Chlorocypha dahli, Chlorocypha dispar, Chlorocypha fabamacula, Chlorocypha flammea, Chlorocypha frigida, Chlorocypha ghesquierei, Chlorocypha glauca, Chlorocypha granata, Chlorocypha helenae, Chlorocypha jejuna, Chlorocypha luminosa, Chlorocypha maxima, Chlorocypha neptunus, Chlorocypha pyriformosa, Chlorocypha radix, Chlorocypha rubida, Chlorocypha schmidti, Chlorocypha selysi, Chlorocypha seydeli, Chlorocypha, Chlorocypha trifaria, Chlorocypha victoriae, Chlorocypha wittei, Chlorolestes, Chlorolestes apricans, Chlorolestes conspicuus, Chlorolestes draconicus, Chlorolestes elegans, Chlorolestes fasciatus, Chlorolestes tessellatus, Chlorolestes umbratus, Coenagriocnemis, Coenagriocnemis insularis, Coenagriocnemis reuniensis, Coenagriocnemis rufipes, Coenagrion, Coenagrion caerulescens, Coenagrion mercuriale, Coenagrion puella, Coenagrion scitulum, Copera, Copera congolensis, Copera guttifera, Copera nyansana, Copera rufipes, Copera sikassoensis, Cordulegaster, Cordulegaster boltonii, Cordulegaster boltonii algirica, Cordulegaster princeps, Cordulia, Cordulia aenea, Cornigomphus, Cornigomphus guineensis, Cornigomphus mariannae, Coryphaeschna, Coryphaeschna adnexa, Coryphagrion, Coryphagrion grandis, Crenigomphus, Crenigomphus abyssinicus, Crenigomphus cornutus, Crenigomphus hartmanni, Crenigomphus kavangoensis, Crenigomphus renei, Crocothemis, Crocothemis brevistigma, Crocothemis divisa, Crocothemis erythraea, Crocothemis sanguinolenta, Crocothemis saxicolor, Crocothemis servilia, Crocothemis striata, Cyanothemis, Cyanothemis simpsoni, Diastatomma, Diastatomma bicolor, Diastatomma gamblesi, Diastatomma multilineatum, Diastatomma selysi, Diastatomma soror, Diastatomma tricolor, Diplacodes, Diplacodes deminuta, Diplacodes exilis, Diplacodes lefebvrii, Diplacodes luminans, Diplacodes pumila, Diplacodes trivialis, Ecchlorolestes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((5.9985 -1.8197,6.1596 -1.4443,5.9957 -1.0552,5.6304 -0.9035,5.2841 -1.0308,5.1008 -1.4539,5.2222 -1.7725,5.639 -1.9676,5.9985 -1.8197))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038786-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.30069451
title: Two decades of metagenomic data on soil biodiversity in Germany frm samples preserved in the German Environmental Specimen Bank

description: The samples were collected as part of the routine soil sampling of the German Environmental Specimen Bank. The sampling sites include 11 locations in nine sampling regions of different ecosystem types (conurbation, agrarian, forestry and near-natural) in Germany. DNA was extracted with the ZymoBIOMICS™ DNA/RNA Miniprep Kit (Zymo Research, Freiburg, Germany). Libraries were prepared and purified according to the BEST protocol. Sequencing was performed on an Illumina NovaSeq 6000 PE150 platform at Novogene (Cambridge, UK), with a sequencing depth of 2 GB per sample. Sequences were automatically trimmed and quality checked with Autotrim v0.6.1 and FastQC. Taxonomic classification was performed sequentially using Kraken2 v2.1.2. For building the reference databases, representative or reference RefSeq assemblies were downloaded from NCBI (downloaded on January 13, 2023) for the following RefSeq categories: human, bacteria, and fungi and plants combined. For invertebrates, the newly created MetaInvert database was used, which contains genomes of 232 Central European invertebrate soil species (Collins et al. 2023). Each reference dataset was used to build a Kraken2 database with default k-mer size k = 35. For assignment, sequences were compared with the human database to control for potential contamination. Unassigned sequences were compared with the bacteria database, then to the fungi and plants database, and finally to the MetaInvert database. Results of the sequential assignments were merged. Raw sequencing data is available in NCBI as BioProject PRJNA1276286. More details here: https://www.biorxiv.org/content/10.1101/2025.07.21.665925v1
DOI: 10.6084/m9.figshare.30067801.v2
title: <b>QUANTUM MECHANICS: A RITZY PANORAMA</b>

description: Mechanics is a realm of Physics which studies the motion of bodies. Quantum mechanics entails the study of the motion of sub atomic realities. This work maintains the thesis that Quantum mechanics is the progeny of previous mechanics. To sustain this position the work traces the genesis of the study of mechanics remotely to Aristotle which was redefined and given a new orientation in the modern Newtonian mechanics. Using the philosophical mechanism of analysis, the work demonstrates that the breakdown of these two mechanics gave birth to Quantum mechanics. The research critically observes that a juxtaposition of Quantum mechanics with the former two showed that the objectivity, causality, determinism and certainty that defined the former mechanics are oblivionated in the framework of Quantum mechanics. The discourse concludes with the tenet that since the current status of research in science admits the unification of all the realms of knowledge, then the idea of the intermingling of Metaphysics and Science in the advancement of human knowledge should be a new dimension to knowledge acquisition.
DOI: 10.6084/m9.figshare.30069451.v1
title: Two decades of metagenomic data on soil biodiversity in Germany frm samples preserved in the German Environmental Specimen Bank

description: The samples were collected as part of the routine soil sampling of the German Environmental Specimen Bank. The sampling sites include 11 locations in nine sampling regions of different ecosystem types (conurbation, agrarian, forestry and near-natural) in Germany. DNA was extracted with the ZymoBIOMICS™ DNA/RNA Miniprep Kit (Zymo Research, Freiburg, Germany). Libraries were prepared and purified according to the BEST protocol. Sequencing was performed on an Illumina NovaSeq 6000 PE150 platform at Novogene (Cambridge, UK), with a sequencing depth of 2 GB per sample. Sequences were automatically trimmed and quality checked with Autotrim v0.6.1 and FastQC. Taxonomic classification was performed sequentially using Kraken2 v2.1.2. For building the reference databases, representative or reference RefSeq assemblies were downloaded from NCBI (downloaded on January 13, 2023) for the following RefSeq categories: human, bacteria, and fungi and plants combined. For invertebrates, the newly created MetaInvert database was used, which contains genomes of 232 Central European invertebrate soil species (Collins et al. 2023). Each reference dataset was used to build a Kraken2 database with default k-mer size k = 35. For assignment, sequences were compared with the human database to control for potential contamination. Unassigned sequences were compared with the bacteria database, then to the fungi and plants database, and finally to the MetaInvert database. Results of the sequential assignments were merged. Raw sequencing data is available in NCBI as BioProject PRJNA1276286. More details here: https://www.biorxiv.org/content/10.1101/2025.07.21.665925v1
DOI: 10.6084/m9.figshare.28946432.v3
title: 3. Fig 2a density map

description: cryoEM density map of Rad51 mini filament in complex with dsDNA containing a 4nt mismatch bubble in figure 2a
DOI: 10.14457/tu.the.2022.1684
title: การสร้างระเบียบและการตอบโต้วาทกรรมว่าด้วยที่ดินระหว่างรัฐและขบวนการเกษตรกรรายย่อย

description: วิทยานิพนธ์นี้เป็นการศึกษาเกี่ยวกับพัฒนาการของขบวนการเกษตรกรรายย่อยในการเคลื่อนไหวทางสังคมเพื่อสร้างวาทกรรมตอบโต้ ที่ปะทะประสานกับวาทกรรมสิทธิในที่ดินของรัฐ ซึ่งถูกใช้อำนาจในการ ควบคุม จัดการ สร้างระเบียบ มอบสิทธิการครอบครองและใช้ประโยชน์ในที่ดิน โดยสนใจภาคปฎิบัติทางวาทกรรม (discursive practice) ในการต่อสู้กันระหว่างวาทกรรมของรัฐกับวาทกรรมของประชาชนในนามเกษตรกรรายย่อย เรียกพื้นที่การต่อสู้กันทางวาทกรรมนี้ว่าสนามวาทกรรม (discursive field) ซึ่งมีทั้งการผลิตสร้างความหมาย (discursive construction) การรื้อสร้าง (discursive deconstruction) และการกำหนดนิยามความหมาย (resignification) ของวาทกรรมที่ดินขึ้นใหม่ ผลการศึกษาพบว่า รัฐมีการนิยาม ความหมายของที่ดิน โดยการจัดตั้งระบบสิทธิและกรรมสิทธิที่ดิน ด้วยการจัดประเภทของที่ดินตามลักษณะผลตอบแทนที่จะได้สูงสุดจากการใช้ประโยชน์ สร้างระบบตลาดที่ดิน โดยใช้กลไกประเมินราคาที่ดิน และการกำหนดอัตราภาษี รวมทั้งการวางผังกำหนดเขตการใช้ประโยชน์ เพื่อสร้างระบบกรรมสิทธิ์ที่รัฐจะได้ผลประโยชน์สูงสุด ทำให้ที่ดินกลายเป็นสินค้าเก็งกำไร พร้อมไปกับการกีดกันเกษตรกรรายย่อย ตลอดจนคนยากจนออกจากที่ดินอย่างเป็นเหตุเป็นผล (justification) และถูกต้องตามกฎหมาย การกระจายการถือครองที่ดินจึงเต็มไปด้วยความเหลื่อมล้ำ ไม่เป็นธรรม ปัญหาที่การกระจายสิทธิในที่ดินที่เป็นมายาวนานนี้ก่อให้เกิดเกษตรกรไร้ที่ดินทำกินเป็นจำนวนมาก...
DOI: 10.14457/tu.the.2024.574
title: Heat transfer analysis of a microwave reactor using computational fluid dynamics for polymer recycling

description: Microwave heating has emerged as an attractive heat source for polymer recycling processes such as alcoholysis. The rapid localized heating allows for the reaction time for alcoholysis to be decreased from hours to minutes. Despite this, microwave heating does suffer from a shortcoming which is also present in conventional heating i.e., nonuniformity of the temperature distribution. In order to optimize the design of the microwave reactor for large-scale polymer recycling via alcoholysis, it is essential to understand and predict the temperature distribution inside the reactor. This can be achieved through numerical simulations of microwave heating and the hydrodynamics of the system. This study develops a microwave heating model by one-way coupling high-frequency electromagnetism, heat transfer, and fluid dynamics utilizing the finite element and finite volume methods by conducting two commercial packages i.e., ANSYS HFSS, and FLUENT. The numerical simulation demonstrates the reactor’s response to the applied circumstances, exhibiting aprogressive rise in temperature as the reaction time increases. These findings highlight the significance of agitation in ensuring consistent temperature distribution within the reactor. Microwave irradiation is employed to selectively heat the reaction media, resulting in accelerated reactions in comparison to conventional heating techniques. The temperature in a 2 L reactor is expected to increase by 150 ºC during a short span of 25 minutes, leading to a substantial reduction in the reaction time for alcoholysis.
DOI: 10.14457/tu.the.2024.576
title: A comparative study of web-post buckling resistance in circular and elliptical openings: using artificial neural networks for predictive modeling

description: This research investigates the potential of elliptical web openings to enhance webpost buckling resistance in steel beams under concentrated loads at mid-span compared to circular openings of the same area. The study systematically varies key geometric parameters: the ratio of circular web opening diameter to beam height (d/h), the ratio of spacing to circular opening diameter (s/d), the aspect ratio of elliptical openings (m j/r), and the orientation angle (θ) of elliptical openings. Utilizing finite element analysis (FEA) with ANSYS software, the research conducts both buckling and post-buckling analyses using a geometric nonlinear approach with imperfections, based on S355 steel properties.The parametric study encompasses a comprehensive set of 4,455 numerical models. These models investigate the influence of the aforementioned geometric parameters on the buckling resistance of steel beams. The findings indicate that elliptical openings with optimized aspect ratios significantly improve buckling resistance compared to circular openings. Higher d/h ratios tend to decrease buckling resistance by reducing the height of the tee section, while increased s/d ratios improve shear capacity by more effectively distributing stresses. Tailored m j/r ratios for elliptical openings further enhance buckling resistance without altering the spacing between openings. Additionally, elliptical openings with counterclockwise orientation angles demonstrate better performance in mitigating stress concentrations and improving stability.An Artificial Neural Network (ANN) model, developed using MATLAB’s Neural Net Fitting Tool (nftool), enhances the predictive accuracy for web-post buckling loads. This model utilizes the extensive dataset generated from the parametric study to predict buckling loads with high precision. The results of this research provide valuable insights for optimizing the design of perforated steel beams. By highlighting the superior performance of elliptical openings with optimized geometric parameters, this study contributes to the development of more efficient and resilient structural engineering solutions. The enhanced understanding of web-post buckling phenomena and the introduction of a robust predictive tool underscore the significance of this research in advancing the field of structural engineering.
DOI: 10.14457/tu.the.2024.577
title: Data mining approaches for toxic chat detection and churn prediction in online gaming environments

description: This research developed and evaluated specialized data mining techniques for toxic chat detection and user churn prediction to address problems that negatively impact user experience in online gaming environments. The first study proposed a hybrid model combining BERT's contextual understanding capabilities with Character-level CNN (CharCNN)'s character-level pattern recognition abilities to improve toxic chat detection performance. The second study enhanced user churn prediction accuracy by systematically classifying non-login periods and applying appropriate data imputation techniques.For toxic chat detection, experiments were conducted using chat messages from the Dota 2 game. The proposed BERT+CharCNN hybrid model achieved an F1 score of 0.9205, outperforming all existing single models (TF-IDF+LR: 0.8678, BERT: 0.8920, CharCNN: 0.8963). Particularly, the model demonstrated the ability to accurately detect disguised toxic expressions using creative spellings or special characters ("ff!@3ckk you") with high confidence (0.9266-0.9794).For user churn prediction, data from Blade & Soul MMORPG was utilized. Through rule-based classification based on First Active Week (FAW), various causes of non-login periods were distinguished, and missing values were handled using Multiple Imputation by Chained Equations (MICE)techniques. The optimal configuration achieved a weighted F1 score of 0.7065, showing approximately 3% performance improvement over the baseline. Statistical significance was confirmed through Friedman tests.The main contributions of this research are as follows. First, a hybrid toxic detection model that effectively integrates contextual understanding and character-level pattern recognition was proposed. Second, a novel churn prediction approach that reinterprets non-login periods with behavioral meaning was developed.Third, through both studies, a comprehensive user management approach considering both short-term gaming experience improvement and long-term user retention was presented.The research results can be utilized for creating healthier communities and establishing effective user retention strategies in the online gaming industry, providing practical guidelines for game operators to develop personalized moderation and retention strategies. Future research requires improving model interpretability, expanding to various game genres, and supporting multiple languages.
DOI: 10.14457/tu.the.2024.578
title: Development of bio-gel electrolyte with wide potential range

description: Bio-based gel electrolytes were developed and evaluated using carrageenan polymers (kappa, iota, and lambda) combined with various inorganic salts (LiCl, NaCl, KCl, Li2SO4, and Na2SO4). The study explored the maximum salt concentrations that can form homogeneous and mechanically stable gels, followed by detailed electrochemical characterization through cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and thermal analyses. Among all combinations, kappa carrageenan with LiCl exhibited the highest salt compatibility, maintaining homogeneity and structural integrity up to 5 M. Chloride-based salts generally enabled higher concentration thresholds compared to sulfate-based salts, attributed to differences in ionic radius and charge density.Electrochemical analysis showed that increasing salt concentration broadened the electrochemical stability window and enhanced specific capacitance. The 5 M LiCl–kappa carrageenan gel demonstrated superior performance, including high ionic conductivity and favorable thermal stability. Electrode modification with anthraquinone further increased capacitance due to enhanced pseudocapacitive behavior. Two-electrode cell measurements confirmed the practical applicability of the system, achieving an energy density of 17.65 Wh/kg within a stable operating window of 1.6 V.The influence of external conditions, such as pH and temperature, was also investigated. Near-neutral pH and ambient temperatures were optimal for maintaining gel structure and facilitating ion transport. Overall, the results highlight the strong potential of carrageenan-based gels for use in eco-friendly energy storage systems, especially when optimized with appropriate salt type, concentration, and structural modification.
DOI: 10.14457/tu.the.2024.579
title: Advanced machine learning for urban flood hazard assessment

description: Rapid urbanization in Bangkok leads to severe urban flooding that damaging infrastructure. This impact disrupting economic stability and hindering sustainable growth. Existing flood hazard assessment approaches fail to accurately depict the dynamic relationships between climate variations, infrastructure elements, and human activities. This study introduces an integrated machine learning framework for flood prediction and hazard classification which combines meteorological, hydrological, and socioeconomic data from district areas over 22 years from 2002 to 2023. Three primary prediction tasks were evaluated which included classification of flood occurrences as well as regression analysis of flood levels and classification of flood hazard levels. The research evaluated numerous machine learning algorithms such as Random Forest, LightGBM, XGBoost, Support Vector Machine, Multi-Layer Perceptron, Long Short-Term Memory along with Temporal Fusion Transformer. The novel Graph Convolutional Network–Temporal Fusion Transformer (GCN-TFT) model is proposed to capture spatial dependencies between districts alongside long-range temporal patterns in flood behavior. The GCN-TFT model demonstrated superior performance compared to all baseline models across multiple evaluation metrics and achieved a 0.995 F1 score for hazard level classification. The model produced high-resolution hazard maps that exposed consistent spatial distribution patterns in flood-prone areas along with significant temporal regime changes. We revealed the most influential predictors through feature importance analysis, enhancing model interpretability by highlighting which variables most significantly contributed to flood hazard prediction. The developed data-driven framework achieves high accuracy in urban flood hazard mapping and provides transferable and interpretable solutions that aid disaster planning and infrastructure development in cities vulnerable to climate change.
DOI: 10.14457/tu.the.2024.582
title: Computational framework for intestate inheritance allocation under Thai succession law: algorithmic methodology and system integration

description: The process of allocating the intestate inheritance among the statutory heirs is sophisticated yet occurs regularly. Many scholars have attempted to develop automated allocation systems to tackle this challenging task. However, most amply existing systems rely on conventional form-based input, which may overwhelm the general users. Furthermore, no existing system concerning intestate inheritance allocation according to the Civil and Commercial Code of Thailand is publicly available. We proposed “InheriTree”, a user-centric system for navigating the complexities of inheritance rights per the Civil and Commercial Code of Thailand by leveraging the potential of the natural language processing (NLP)-powered chatbot along with an interactive web application. Diverse NLP techniques coalesce into InheriTree’s chatbot system to ensure that the chatbot can handle various structures of input text from the user. This chatbot is seamlessly integrated with the Facebook Messenger platform, which bestows the user with a familiar and easily accessible chat interface. The information derived during the chat session then passes through our web application to construct and visualize a modifiable family tree accordingly. The core function of InheriTree is the precise allocation of the inheritance ratio employing the tree-based “three-step inheritance allocation algorithm”, adept at managing intricate inheritance scenarios. This proposed algorithm also enables our system to handle the case with the heir according to the right of representation, which is unattainable for any existing system. The proposed system’s inheritance allocation results achieved 100% accuracy from end-to-end testing across 100 test scenarios, manifesting its potential as an intelligence tool for assisting the intestate inheritance management process.
DOI: 10.14457/tu.the.2024.583
title: Periodic homogenization of elliptic operators with drifts

description: This thesis studies the homogenization of second-order elliptic operators in the divergence form. In particular, we study the boundary value problem formulated as follows:\[\label{problem}\begin{cases}\mathfrak {L}_{\delta} u_{\delta} + \lambda u_{\delta} = f_{\delta} \quad \text {in} \quad \Omega, \\\qquad \quad \; u_{\delta} = 0 \quad \; \text{on} \quad \partial \Omega,\end{cases}\]where $\lambda \in \mathbb{R}$, $\delta&gt;0$ and $\Omega$ is a nonempty open set in $\mathbb{R}^{d}$ with $d\geq 3$. Here $\mathfrak{L}_{\delta}$ is a second-order elliptic operator and $f_{\delta}$ is a source term which represents a real-valued function on $H^{1}_{0}(\Omega)$. In the initial case, $\mathfrak{L}_{\delta}$ is defined by \[\mathfrak{L}_{\delta}= - \text{div}(A^{\delta} \nabla u + C^{\delta}u ) + B^{\delta} \nabla u + k^{\delta} u\]Here $A^{\delta}$ denotes a diffusion matrix with bounded measurable coefficients. $B^{\delta}$ and $C^{\delta}$ are the drift terms and $k^{\delta}$ is a potential, with all components in variable exponent Lebesgue spaces.A second case considers the operator $\mathfrak{L}_{\delta}$, given by\[\mathfrak{L}_{\delta}= - \text{div}(A^{\delta} \nabla u ) + B^{\delta} \nabla u \]where the components of the drift terms $B^{\delta}$ are assumed to be in Lorentz spaces. To consider these homogenization problems, we define the periodic unfolding operator within the framework of both variable exponent Lebesgue spaces and Lorentz spaces. Furthermore, we extend the known equivalence of two-scale convergence and the weak convergence of unfolded sequence to these settings.