cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/kku.the.2010.426
title: การกำจัดรีซอร์ซินอลและพาราฟีนิลีนไดอะมีนในน้ำทิ้งสีย้อมผมด้วยถ้วยแกลบ
DOI: 10.14457/kku.the.2010.427
title: สถานการณ์การควบคุมกิจการที่เป็นอันตรายต่อสุขภาพของเทศบาลในจังหวัดขอนแก่น
DOI: 10.14457/kku.the.2010.428
title: การศึกษาเปรียบเทียบการกัดกร่อนของซัลเฟตและกรดของมอร์ต้าร์ปูนซีเมนต์ปอร์ตแลนด์ปอซโซลานปริมาณมากและมอร์ต้าร์จีโอโพลิเมอร์เถ้าหนัก
DOI: 10.14457/kku.the.2010.429
title: ลักษณะการทนเค็มและการแสดงออกของยีนแอนติออกซิแดนท์ที่ตอบสนองต่อความเค็มในข้าวระยะต้นกล้า
DOI: 10.14457/kku.the.2010.430
title: การผลิตเจลสมุนไพรเพื่อยับยั้งเชื้อแบคทีเรียที่ก่อเกิดสิว
DOI: 10.14457/kku.the.2010.431
title: การกำจัดสีและซีโอดีจากน้ำเสียจากการย้อมไหมโดยใช้คอลัมน์บรรจุแกลบเผา
DOI: 10.14457/kku.the.2010.432
title: การใช้พลาสมาระดับความดันบรรยากาศเพื่อควบคุมเชื้อราในเมล็ดพันธุ์พืช
DOI: 10.14457/kku.the.2010.433
title: การส่งเสริมความปลอดภัยเพื่อปรับเปลี่ยนพฤติกรรมความปลอดลัยในโรงงานอุตสาหกรรม :
DOI: 10.14457/kku.the.2010.434
title: ข้อเสนอเชิงยุทธศาสตร์เพื่อเสริมสร้างประสิทธิผลการจัดการงานวิจัยของมหาวิทยาลัยราชภัฎเลย
DOI: 10.14457/kku.the.2010.435
title: ครอบครัววัยรุ่นชนบทอีสานในยุคโลกาภิวัฒน์
DOI: 10.14457/kku.the.2010.436
title: การพัฒนากิจกรรมการเรียนรู้ที่เน้นกระบวนการแก้ปัญหาทางคณิตศาสตร์โดยใช้วัฎจักรการเรียนรู้ 5 ขั้น (5Es) เรื่อง สมการเชิงเส้นตัวแปรเดียว ชั้นมัธยมศึกษาปีที่ 1
DOI: 10.14457/kku.the.2010.437
title: การศึกษาทักษะการคิดและผลสัมฤทธิ์ทางการเรียนของนักเรียนชั้นมัธยมศึกษาปีที่ 2 โดยใช้ยุทธศาสตร์เมตาคอกนิชัน
DOI: 10.14457/kku.the.2010.438
title: การพัฒนากิจกรรมการเรียนรู้สาระการเรียนรู้คณิตศาสตร์ตามแนวคิดทฤษฎีคอนสตรัคติวิสต์ เรื่องการบวก ลบระคน สำหรับนักเรียนชั้นประถมศึกษาปีที่ 1
DOI: 10.14457/kku.the.2010.439
title: การจัดจำแนกและการผลิตแอนติซีรัมเชื้อไวรัสในจีนัส TOBAMOVIRUS จากพริกและมะเขือเทศในเขตการผลิตเมล็ดพันธุ์ภาคตะวันออกเฉียงเหนือ
DOI: 10.5281/zenodo.3718958
title: Seismic datasets in "Real-time earthquake location based on the Kalman filter formulation"

description: Synthetic seismic dataset and Parkfield seismic dataset that used in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters
DOI: 10.5281/zenodo.3718959
title: Seismic datasets in "Real-time earthquake location based on the Kalman filter formulation"

description: Synthetic seismic dataset and Parkfield seismic dataset that used in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters
DOI: 10.25919/5f252c5a79d63
title: Parkes observations for project P885 semester 2020APRS_09

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have long been doing through this project. The revolutionary UWL capabilities promise new opportunities to disentangle still mysterious radio emission mechanisms in magnetars. This promise is supported by the recent follow up of XTE J1810-197, again a radio magnetar after 10 years dormant, for which our observations with the UWL receiver are providing unique and tantalizing measurements of its radio spectrum and polarisation.
DOI: 10.25403/upresearchdata.12011151
title: Reproductive behaviour of the roan antelope (Hippotragus equinus)

description: In this project, we report on reproductive behaviours displayed by roan antelopes. This is important since it describes sexual behaviours in males and females and provides semi-quantitative data, which is a step towards understanding the reproductive physiology of this species.<br> The study was performed with the approval of the University of Pretoria Animal use and care committee (Reference V072-17). <b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.25345/c58t89
title: MassIVE MSV000085867 - GNPS - New Stylissamide L from Stylissa caribica
title: Feature-based molecular networking was used to re-examine the metabolic content of a very well studied marine sponge, Stylissa caribica, known to contain a large array of cyclic peptides and brominated alkaloids. The analysis revealed the presence in the sponge of 13 cyclic peptides that had never been detected in previous work and appeared to be new compounds. The most abundant one was isolated and shown to be a new proline-rich cyclic heptapetide that was called stylissamide L. Structure of stylissamide L, including the cis/trans geometry of the three proline residues, was determined by extensive NMR studies; the L configuration of the seven amino acid residues was determined using the Marfey method. Stylissamide L was tested as cell growth inhibitor and cell migration inhibitor on two cancer cell lines but, unlike other members of the stylissamide family, showed no significant activity. This work showed that even a thoroughly studied species such as S. caribica may contain plenty of new chemistry, which can be revealed if studied with the right tools.
DOI: 10.5281/zenodo.3719017
title: Logical model for mutually exclusive and co-occurring genetic alterations in bladder tumorigenesis

description: Relationships between genetic alterations, such as co-occurrence or mutual exclusivity, are often observed in cancer, where their understanding may provide new insights into etiology and clinical management. In this study, we combined statistical analyses and computational modelling to explain patterns of genetic alterations seen in 178 patients with bladder tumours (either muscle-invasive or non-muscle-invasive). A statistical analysis on frequently altered genes identified pair associations including co-occurrence or mutual exclusivity. Focusing on genetic alterations of protein-coding genes involved in growth factor receptor signalling, cell cycle and apoptosis entry, we complemented this analysis with a literature search to focus on nine pairs of genetic alterations of our dataset, with subsequent verification in three other datasets available publically. To understand the reasons and contexts of these patterns of associations while accounting for the dynamics of associated signalling pathways, we built a logical model. This model was validated first on published mutant mice data, then used to study patterns and to draw conclusions on counter-intuitive observations, allowing one to formulate predictions about conditions where combining genetic alterations benefits tumorigenesis. For example, while CDKN2A homozygous deletions occur in a context of FGFR3 activating mutations, our model suggests that additional PIK3CA mutation or p21CIP deletion would greatly favour invasiveness. Further, the model sheds light on the temporal orders of gene alterations, for example, showing how mutual exclusivity of FGFR3 and TP53 mutations is interpretable if FGFR3 is mutated first. Overall, our work shows how to predict combinations of the major gene alterations leading to invasiveness. GINsim archive (zginml) with the model, its annotations and simulation parameters; the SBML file can be imported using any tool supporting the SBML qual format Warning: the zginml archive should be open using a recent GINsim version (&gt;2.8)
description: From http://ginsim.org/node/188
DOI: 10.5281/zenodo.3719018
title: Logical model for mutually exclusive and co-occurring genetic alterations in bladder tumorigenesis

description: Relationships between genetic alterations, such as co-occurrence or mutual exclusivity, are often observed in cancer, where their understanding may provide new insights into etiology and clinical management. In this study, we combined statistical analyses and computational modelling to explain patterns of genetic alterations seen in 178 patients with bladder tumours (either muscle-invasive or non-muscle-invasive). A statistical analysis on frequently altered genes identified pair associations including co-occurrence or mutual exclusivity. Focusing on genetic alterations of protein-coding genes involved in growth factor receptor signalling, cell cycle and apoptosis entry, we complemented this analysis with a literature search to focus on nine pairs of genetic alterations of our dataset, with subsequent verification in three other datasets available publically. To understand the reasons and contexts of these patterns of associations while accounting for the dynamics of associated signalling pathways, we built a logical model. This model was validated first on published mutant mice data, then used to study patterns and to draw conclusions on counter-intuitive observations, allowing one to formulate predictions about conditions where combining genetic alterations benefits tumorigenesis. For example, while CDKN2A homozygous deletions occur in a context of FGFR3 activating mutations, our model suggests that additional PIK3CA mutation or p21CIP deletion would greatly favour invasiveness. Further, the model sheds light on the temporal orders of gene alterations, for example, showing how mutual exclusivity of FGFR3 and TP53 mutations is interpretable if FGFR3 is mutated first. Overall, our work shows how to predict combinations of the major gene alterations leading to invasiveness. GINsim archive (zginml) with the model, its annotations and simulation parameters; the SBML file can be imported using any tool supporting the SBML qual format Warning: the zginml archive should be open using a recent GINsim version (&gt;2.8)
description: From http://ginsim.org/node/188
DOI: 10.5281/zenodo.3608364
title: Strong-motion seismogeodesy by deeply coupling GNSS receivers and inertial measurement units

description: Understanding the origin and mechanism of destructive earthquakes is predicated on the faithful recordings of their induced ground displacements near the clearly deformed epicentral regions. Global Navigation Satellite System (GNSS) receivers, such as the GPS sort, have been recognized as the best, if not the only reliable, tool to measure such large displacements. This is achieved within the GNSS receivers by continuously tracking the satellite carrier-phase signals. However, GNSS receivers are likely to lose their fidelity in recording the complete and accurate displacement waveforms in case of fierce ground motions, since their carrier-phase tracking becomes instable when strained by such persistent and high dynamic stress. We hence developed an advanced GNSS receiver architecture where the dynamic stress suffered by the carrier-phase tracking components is compensated for by an embedded inertial measurement unit consisting of one accelerometer and one gyroscope. In this case, the carrier-phase signals can be tracked steadily by GNSS receivers, and the displacement accuracy can be improved from sub-centimeter to millimeter level by about 70% when the ground accelerations reach twice the gravitational acceleration. We believe that this advanced GNSS receiver will be an excellent strong-motion seismometer recording displacements directly at a few millimeter accuracy without missing any earthquake signals, even in case of fierce ground motions.
DOI: 10.5281/zenodo.3608363
title: Strong-motion seismogeodesy by deeply coupling GNSS receivers and inertial measurement units

description: Understanding the origin and mechanism of destructive earthquakes is predicated on the faithful recordings of their induced ground displacements near the clearly deformed epicentral regions. Global Navigation Satellite System (GNSS) receivers, such as the GPS sort, have been recognized as the best, if not the only reliable, tool to measure such large displacements. This is achieved within the GNSS receivers by continuously tracking the satellite carrier-phase signals. However, GNSS receivers are likely to lose their fidelity in recording the complete and accurate displacement waveforms in case of fierce ground motions, since their carrier-phase tracking becomes instable when strained by such persistent and high dynamic stress. We hence developed an advanced GNSS receiver architecture where the dynamic stress suffered by the carrier-phase tracking components is compensated for by an embedded inertial measurement unit consisting of one accelerometer and one gyroscope. In this case, the carrier-phase signals can be tracked steadily by GNSS receivers, and the displacement accuracy can be improved from sub-centimeter to millimeter level by about 70% when the ground accelerations reach twice the gravitational acceleration. We believe that this advanced GNSS receiver will be an excellent strong-motion seismometer recording displacements directly at a few millimeter accuracy without missing any earthquake signals, even in case of fierce ground motions.
DOI: 10.5281/zenodo.3719029
title: Logical model for Molecular Pathways Enabling Tumour Cell Invasion and Migration

description: Understanding the etiology of metastasis is very important in clinical perspective, since it is estimated that metastasis accounts for 90% of cancer patient mortality. Metastasis results from a sequence of multiple steps including invasion and migration. The early stages of metastasis are tightly controlled in normal cells and can be drastically affected by malignant mutations; therefore, they might constitute the principal determinants of the overall metastatic rate even if the later stages take long to occur. To elucidate the role of individual mutations or their combinations affecting the metastatic development, a logical model has been constructed that recapitulates published experimental results of known gene perturbations on local invasion and migration processes, and predict the effect of not yet experimentally assessed mutations. The model has been validated using experimental data on transcriptome dynamics following TGF-β-dependent induction of Epithelial to Mesenchymal Transition in lung cancer cell lines. A method to associate gene expression profiles with different stable state solutions of the logical model has been developed for that purpose. In addition, we have systematically predicted alleviating (masking) and synergistic pairwise genetic interactions between the genes composing the model with respect to the probability of acquiring the metastatic phenotype. We focused on several unexpected synergistic genetic interactions leading to theoretically very high metastasis probability. Among them, the synergistic combination of Notch overexpression and p53 deletion shows one of the strongest effects, which is in agreement with a recent published experiment in a mouse model of gut cancer. The mathematical model can recapitulate experimental mutations in both cell line and mouse models. Furthermore, the model predicts new gene perturbations that affect the early steps of metastasis underlying potential intervention points for innovative therapeutic strategies in oncology. Included files: Master Model: the model includes detailed regulation of the major players involved in the crosstalks between Notch and p53 pathways Modular Model: the model is a reduction of the master model. To reduce the master model, we lumped together some entities that belonged to a module.
description: From http://ginsim.org/node/191
DOI: 10.5281/zenodo.3719028
title: Logical model for Molecular Pathways Enabling Tumour Cell Invasion and Migration

description: Understanding the etiology of metastasis is very important in clinical perspective, since it is estimated that metastasis accounts for 90% of cancer patient mortality. Metastasis results from a sequence of multiple steps including invasion and migration. The early stages of metastasis are tightly controlled in normal cells and can be drastically affected by malignant mutations; therefore, they might constitute the principal determinants of the overall metastatic rate even if the later stages take long to occur. To elucidate the role of individual mutations or their combinations affecting the metastatic development, a logical model has been constructed that recapitulates published experimental results of known gene perturbations on local invasion and migration processes, and predict the effect of not yet experimentally assessed mutations. The model has been validated using experimental data on transcriptome dynamics following TGF-β-dependent induction of Epithelial to Mesenchymal Transition in lung cancer cell lines. A method to associate gene expression profiles with different stable state solutions of the logical model has been developed for that purpose. In addition, we have systematically predicted alleviating (masking) and synergistic pairwise genetic interactions between the genes composing the model with respect to the probability of acquiring the metastatic phenotype. We focused on several unexpected synergistic genetic interactions leading to theoretically very high metastasis probability. Among them, the synergistic combination of Notch overexpression and p53 deletion shows one of the strongest effects, which is in agreement with a recent published experiment in a mouse model of gut cancer. The mathematical model can recapitulate experimental mutations in both cell line and mouse models. Furthermore, the model predicts new gene perturbations that affect the early steps of metastasis underlying potential intervention points for innovative therapeutic strategies in oncology. Included files: Master Model: the model includes detailed regulation of the major players involved in the crosstalks between Notch and p53 pathways Modular Model: the model is a reduction of the master model. To reduce the master model, we lumped together some entities that belonged to a module.
description: From http://ginsim.org/node/191
DOI: 10.5281/zenodo.3718983
title: SMT Formulas for Boolean Programs from SLAM

description: This archive contains SMT formulas for boolean programs that were generated with the software verifier SLAM. The archive was contributed to the SV-Benchmarks repository (when it was still hosted as SVN repository) by Nikolaj Bjorner on Nov. 21, 2012. [https://github.com/sosy-lab/sv-benchmarks/commit/9a1394fe44b97c1fe8eeaea831a3627e34eb1c11] It is not contained directly in the Git repository at https://github.com/sosy-lab/sv-benchmarks/ because GitHub does not support files larger than 200 MB.
DOI: 10.5281/zenodo.3718984
title: SMT Formulas for Boolean Programs from SLAM

description: This archive contains SMT formulas for boolean programs that were generated with the software verifier SLAM. The archive was contributed to the SV-Benchmarks repository (when it was still hosted as SVN repository) by Nikolaj Bjorner on Nov. 21, 2012. [https://github.com/sosy-lab/sv-benchmarks/commit/9a1394fe44b97c1fe8eeaea831a3627e34eb1c11] It is not contained directly in the Git repository at https://github.com/sosy-lab/sv-benchmarks/ because GitHub does not support files larger than 200 MB.
DOI: 10.5281/zenodo.3719059
title: Logical model for Model checking to assess T-helper cell plasticity

description: Logical modeling has proven suitable for the dynamical analysis of large signaling and transcriptional regulatory networks. In this context, signaling input components are generally meant to convey external stimuli, or environmental cues. In response to such external signals, cells acquire specific gene expression patterns modeled in terms of attractors (e.g. stable states). The capacity for cells to alter or reprogram their differentiated states upon changes in environmental conditions is referred to as cell plasticity. In [1], it is presented an extended version of a published logical model of T-helper cell differentiation and plasticity, which accounts for novel cellular subtypes. The model encompasses 20 signaling pathways, a dozen of transcription factors, and about 30 cytokines, amounting to 101 components in total. Computational methods recently developed to efficiently analyze large models [1] are first used to study static properties of the model (i.e. stables states). Symbolic model checking is then applied to get further insights into reachability properties between Th canonical subtypes upon changes of specific prototypic environmental cues. The model reproduces novel reported Th subtypes (Tfh, Th9, Th22) and predicts additional Th hybrid subtypes in term of stables states. Using the model checker NuSMV-ARCTL, an abstract view of the dynamics, called reprograming graph, is produced providing a global and synthetic view of Th plasticity. The model is consistent with experimental data showing the polarization of naïve Th cells into the canonical Th subtypes. The model further predicts substancial plasticity of Th subtypes depending on the signalling environment.
description: From http://ginsim.org/node/185
DOI: 10.5281/zenodo.3719058
title: Logical model for Model checking to assess T-helper cell plasticity

description: Logical modeling has proven suitable for the dynamical analysis of large signaling and transcriptional regulatory networks. In this context, signaling input components are generally meant to convey external stimuli, or environmental cues. In response to such external signals, cells acquire specific gene expression patterns modeled in terms of attractors (e.g. stable states). The capacity for cells to alter or reprogram their differentiated states upon changes in environmental conditions is referred to as cell plasticity. In [1], it is presented an extended version of a published logical model of T-helper cell differentiation and plasticity, which accounts for novel cellular subtypes. The model encompasses 20 signaling pathways, a dozen of transcription factors, and about 30 cytokines, amounting to 101 components in total. Computational methods recently developed to efficiently analyze large models [1] are first used to study static properties of the model (i.e. stables states). Symbolic model checking is then applied to get further insights into reachability properties between Th canonical subtypes upon changes of specific prototypic environmental cues. The model reproduces novel reported Th subtypes (Tfh, Th9, Th22) and predicts additional Th hybrid subtypes in term of stables states. Using the model checker NuSMV-ARCTL, an abstract view of the dynamics, called reprograming graph, is produced providing a global and synthetic view of Th plasticity. The model is consistent with experimental data showing the polarization of naïve Th cells into the canonical Th subtypes. The model further predicts substancial plasticity of Th subtypes depending on the signalling environment.
description: From http://ginsim.org/node/185
DOI: 10.5281/zenodo.3846355
title: A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-derived Natural Compounds

description: The latent knowledge, molecular interaction, and chemical property features of the drugs and natural compounds
DOI: 10.15468/odowim
title: Biodiversity of the aculeate wasps (Hymenoptera: Aculeata) of the Arabian Peninsula: Vespoidea, Vespidae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Carpenter, James M., Gadallah, Neveen S. (2020): Biodiversity of the aculeate wasps (Hymenoptera: Aculeata) of the Arabian Peninsula: Vespoidea, Vespidae. Zootaxa 4754 (1): 191-216, DOI: https://doi.org/10.11646/zootaxa.4754.1.20
DOI: 10.5281/zenodo.3846354
title: A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-derived Natural Compounds

description: The latent knowledge, molecular interaction, and chemical property features of the drugs and natural compounds
DOI: 10.15468/9bietw
title: Biodiversity of the aculeate wasps (Hymenoptera: Aculeata) of the Arabian Peninsula: Apoidea (Spheciformes), Ampulicidae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gadallah, Neveen S. (2020): Biodiversity of the aculeate wasps (Hymenoptera: Aculeata) of the Arabian Peninsula: Apoidea (Spheciformes), Ampulicidae. Zootaxa 4754 (1): 17-19, DOI: https://doi.org/10.11646/zootaxa.4754.1.5