cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Growth, development and survival of porina (Wiseana species) on selected native and exotic grass species in New Zealand
Creators: name: Atijegbe, Sylvester
name: Mansfield, Sarah
name: Rostás, Michael
name: Worner, Susan
name: Ferguson, Colin
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 300409
subject: Crop and pasture protection (incl. pests, diseases and weeds)

description: Porina (Wiseana spp.), are endemic insects that are major insect pests of pasture in New Zealand. Despite their impact on exotic pastures, porina are not known to cause significant damage in their native habitats. To improve management of porina in pastures it is important to determine why porina cause considerable damage in exotic pastures but not in their native habitats, and requires an understanding of their growth, survival and preference for native or exotic plant species. To date, the feeding behaviour of porina have not been studied in detail on native grasses, and there are also questions about porina larval development on native plant species. The growth rate and feeding behaviour of porina larvae were studied when supplied with foliage from several native and exotic plant species: Festuca actae, Acyphylla squarrosa, Poa cita, Chionochloa rubra, Phormium tenax, Lolium perenne × Lolium multiflorum and mixed grass species (which consist of fescue, ryegrass and weeds). Mortality, larval survival time, percent growth rate and the relative growth rate of larvae ranged from 12.5–75%, 96–177 days, 57–225% and 0.0057–0.0083 (gm/gm/day) respectively. This study confirmed the differential success of porina larval growth and development on native and exotic plant hosts that will have implications for individual fitness, population dynamics and potential management.
Voyager 3: A Concept Mission to Interstellar Medium
Creators: name: Abdolrahimi, Shohreh
name: Yale, Burton
name: Tzounis, Christos C.
name: Fofrich, Joshua
name: Patel, Rohan
name: Cabrera-Guzman, Jehosafat
name: Welsher, Jonathan C.
name: Nakhjiri, Navid
Publisher: name: arXiv
Year: 2022
Subjects: subject: Space Physics (physics.space-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Voyager 3 is a concept mission that sends a space telescope to the interstellar medium in a reasonable amount of time. Voyager 3 would take a direct image of an exoplanet using the solar gravitational lensing at the distance of 550 astronomical unit (AU). The spacecraft would use its suite of scientific instruments to study the environment of the local solar system and interstellar medium and finalize its primary mission by imaging an exoplanet. Two potential architectures are proposed to meet this mission directive, using multiple gravitational assists and sizable electric propulsion burns to achieve the high escape speeds necessary to reach 550 AU. This paper expands on the science mission objectives, trajectory, and the preliminary design of the baseline spacecraft.
description: 13 pages, 5 figures
Additional file 2 of Building resilience: analysis of health care leaders’ perspectives on the Covid-19 response in Region Stockholm
Creators: name: Savage, Carl
name: Tragl, Leonard
name: Castillo, Moa Malmqvist
name: Azizi, Louisa
name: Hasson, Henna
name: Sundberg, Carl Johan
name: Mazzocato, Pamela
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biological Sciences not elsewhere classified
Cancer
Science Policy

description: Supplementary Material 2
Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection
Creators: name: Eronen, Juuso
name: Ptaszynski, Michal
name: Masui, Fumito
name: Leliwa, Gniewosz
name: Wroczynski, Michal
name: Piech, Mateusz
name: Smywinski-Pohl, Aleksander
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this research, we study the change in the performance of machine learning (ML) classifiers when various linguistic preprocessing methods of a dataset were used, with the specific focus on linguistically-backed embeddings in Convolutional Neural Networks (CNN). Moreover, we study the concept of Feature Density and confirm its potential to comparatively predict the performance of ML classifiers, including CNN. The research was conducted on a Formspring dataset provided in a Kaggle competition on automatic cyberbullying detection. The dataset was re-annotated by objective experts (psychologists), as the importance of professional annotation in cyberbullying research has been indicated multiple times. The study confirmed the effectiveness of Neural Networks in cyberbullying detection and the correlation between classifier performance and Feature Density while also proposing a new approach of training various linguistically-backed embeddings for Convolutional Neural Networks.
Comparison of the Conservation Genetics of Blanding’s Turtles (Emydoidea blandingii) in the Eastern Great Lakes & Northeast Regions
Creators: name: Bassett, Brianna Nycole
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 310999
subject: Zoology not elsewhere classified
classificationCode: 310501
subject: Anthropological genetics
classificationCode: 310599
subject: Genetics not elsewhere classified

description: The Blanding’s Turtle (Emydoidea blandingii) is a species of conservation needs that ranges across the U.S Midwest and Northeast, and Ontario/Nova Scotia, Canada. The species has experienced several range expansions and contractions due to glacial dynamics and industrial landscape changes, which have led to population isolation and bottlenecks. Understanding genetic variation and population structure across the species’ geographic range is essential for conservation efforts to maintain and restore populations. While several regional studies have evaluated genetic variation in E. blandingii, there has been little population sampling across Michigan and limited attempts to directly compare genetic variation across extensively sampled populations within both its main range and disjunct segments in the Northeast U.S. In this study, I utilized 12 microsatellite loci to directly compare the genetic diversity of E. blandingii across 153 localities in a portion of the Great Lakes and the Northeast of the range. Additionally, 13 microsatellite loci were used to assess genetic diversity across 92 localities in Indiana, Ohio, and Michigan, including further sampling within Michigan. My findings confirmed higher genetic diversity within the Great Lakes compared to the Northeast and revealed greater genetic differentiation in the Northeast than in the Great Lakes. Population structure in both regions was influenced by distance (IBD) and watersheds, with a more pronounced effect in the Northeast. Using four different genetic clustering approaches (PCA, sPCA, STRUCTURE, and TESS3r), I identified three range-wide clusters, three within the Northeast, and three within the Great Lakes. Within the Great Lakes, estimates of effective population size (Ne) were high at both the population and watershed level, although influenced by sample size. The long lifespans of E. blandingii likely contribute to high levels of genetic diversity, while post-glacial gene flow across the landscape has resulted in low to moderate levels of differentiation within the regions. This study highlights poorly understood population structure and differences in genetic diversity between regions. Although Great Lakes populations are less isolated and more genetically diverse than those in the Northeast, this does not suggest that they are secure. Both regions face potential genetic loss over the next century, requiring further management implications to mitigate any further decline.
A Rocky Road To Co-Rri: Barriers For Collective Efforts To Pursue Rri.
Creators: name: Bajmocy, Zoltán
name: Karner, Sandra
name: Deblonde, Marian
name: Others
Publisher: name: Zenodo
Year: 2018

description: Responsible Research and Innovation (RRI) has become a key concept under the EU’s Framework Programme for research and Innovation Horizon 2020, and it is gradually finding its way into national research and innovation programmes. However, the conceptualisation of RRI is still under development, it may concern the process as well as its outcomes and its practical implementation may take various forms. Within a recently started European project (FoTRRIS - Fostering a Transition towards Responsible Research and Innovation Systems: http://fotrrish2020.eu), we focus on the idea that RRI builds on collaborative multi-actor processes, where a variety of relevant actors work together in order to better target R&I activities at pressing societal challenges. At its best such co-operations involve transparent, inclusive and reflexive processes of problem definitions, analysis, and co-constructed visions of potential solutions encompassing a broad range of options making societal values such as empowerment, social justice and sustainability explicit, or anticipating potential impacts.

In practice the partnership between academic researchers and non-research actors may vary in form and intensity across different research activities or within a single project life cycle.

Generally speaking, this contrasts with the traditional model of academic research, particularly in terms of who holds the authority to exercise agency. Within the current frame for R&I such collaborative efforts face a multitude of barriers, which makes it difficult to incorporate RRI practices broadly in research routines. The presentation will discuss the barriers identified through a literature review, which we consider most relevant to be anticipated when setting up RRI experiments within the FoTRRIS project.
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients
Creators: name: Chaddad, Ahmad
name: Zhang, Mingli
name: Hassan, Lama
name: Niazi, Tamim
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Genomics (q-bio.GN)
subject: Quantitative Methods (q-bio.QM)
subject: Methodology (stat.ME)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Radiomics has shown a capability for different types of cancers such as glioma to predict the clinical outcome. It can have a non-invasive means of evaluating the immunotherapy response prior to treatment. However, the use of deep convolutional neural networks (CNNs)-based radiomics requires large training image sets. To avoid this problem, we investigate a new imaging features that model distribution with a Gaussian mixture model (GMM) of learned 3D CNN features. Using these deep radiomic features (DRFs), we aim to predict the immune marker status (low versus high) and overall survival for glioma patients. We extract the DRFs by aggregating the activation maps of a pre-trained 3D-CNN within labeled tumor regions of MRI scans that corresponded immune markers of 151 patients. Our experiments are performed to assess the relationship between the proposed DRFs, three immune cell markers (Macrophage M1, Neutrophils and T Cells Follicular Helper), and measure their association with overall survival. Using the random forest (RF) model, DRFs was able to predict the immune marker status with area under the ROC curve (AUC) of 78.67, 83.93 and 75.67\% for Macrophage M1, Neutrophils and T Cells Follicular Helper, respectively. Combined the immune markers with DRFs and clinical variables, Kaplan-Meier estimator and Log-rank test achieved the most significant difference between predicted groups of patients (short-term versus long-term survival) with p\,=\,4.31$\times$10$^{-7}$ compared to p\,=\,0.03 for Immune cell markers, p\,=\,0.07 for clinical variables , and p\,=\,1.45$\times$10$^{-5}$ for DRFs. Our findings indicate that the proposed features (DRFs) used in RF models may significantly consider prognosticating patients with brain tumour prior to surgery through regularly acquired imaging data.
sj-docx-1-jbd-10.1177_01650254221128275 – Supplemental material for Challenging the exclusion of immigrant peers
Creators: name: Palmer, Sally B.
name: Gönültaş, Seçil
name: Yüksel, Ayşe Şule
name: Argyri, Eirini K.
name: McGuire, Luke
name: Killen, Melanie
name: Rutland, Adam
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-jbd-10.1177_01650254221128275 for Challenging the exclusion of immigrant peers by Sally B. Palmer, Seçil Gönültaş, Ayşe Şule Yüksel, Eirini K. Argyri, Luke McGuire, Melanie Killen and Adam Rutland in International Journal of Behavioral Development
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images
Creators: name: Chaddad, Ahmad
name: Hassan, Lama
name: Desrosiers, Christian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: This paper proposes to encode the distribution of features learned from a convolutional neural network using a Gaussian Mixture Model. These parametric features, called GMM-CNN, are derived from chest computed tomography and X-ray scans of patients with Coronavirus Disease 2019. We use the proposed GMM-CNN features as input to a robust classifier based on random forests to differentiate between COVID-19 and other pneumonia cases. Our experiments assess the advantage of GMM-CNN features compared to standard CNN classification on test images. Using a random forest classifier (80\% samples for training; 20\% samples for testing), GMM-CNN features encoded with two mixture components provided a significantly better performance than standard CNN classification (p\,$
Additional file 3 of Acyl-CoA-binding protein (ACBP) genes involvement in response to abiotic stress and exogenous hormone application in barley (Hordeum vulgare L.)
Creators: name: Chang, Huayu
name: Ma, Minhu
name: Gu, Mingzhou
name: Li, Shanshan
name: Li, Mengrun
name: Guo, Ganggang
name: Xing, Guofang
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Supplementary Material 3
Cheiracanthium eutittha Bosenberg and Strand 1906
Creators: name: Li, Jian Yong
name: Liu, Jie
name: Chen, Jian
Publisher: name: Zenodo
Year: 2015
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Cheiracanthiidae
Cheiracanthium
Cheiracanthium eutittha

description: Cheiracanthium eutittha Bösenberg and Strand, 1906
 Cheiracanthium eutittha Namkung 2001: 429, f. 34.7; 2003: 424, f. 34.7 (may be misidentified, per Kim and Lee, 2007b: 239).
description: Published as part of Li, Jian Yong, Liu, Jie & Chen, Jian, 2015, Bibliographic checklist of Korean spiders (Arachnida: Araneae) ver. 2015, pp. 1-112 in Journal of Species Research 4 on page 6, DOI: 10.12651/JSR.2015.4, http://zenodo.org/record/13137482
Trajectory Planning for Collision Avoidance in Urban Scenarios
Creators: name: Ferdinand, Jens
Publisher: name: Karlsruhe
Year: 2018
Subjects: Collision avoidance
Trajectory planning
Risk assessment
Optimization

description: In dieser Arbeit werden Ansätze  zur Trajektorienplanung vorgestellt, die ein automatisiertes Ausweichen mit einem einzelnen kritischen dynamischen Hindernis in beschränkter Umgebung ermöglichten. Hierzu werden drei Varianten vorgestellt, die eine Kopplung von Längs- und Querdynamik erlauben:  Die erste Variante betrachtet die Problemstellung der optimale Trajektorienplanung unter Berücksichtigung eines dynamischen Fahrzeugmodells. Die zweite Variante soll durch eine geeignete Parametrierung der Trajektorien  das Verhalten des Fahrzeugmodells approximieren. Die dritte Variante erweitert die Zweite  durch einen heuristischen Ansatz zur zeitlichen Abtastung. Das Potenzial der drei vorgestellten Verfahren wird im ersten Schritt simulativ nachgewiesen und im darauffolgenden Schritt wird das dritte Verfahren in einem Versuchsträger zum Nachweis der Echtzeitfähigkeit implementiert. Es wird gezeigt, dass die Ansätze für die Anwendung in  Fahrerassistenzsystemen geeignet sind.
Additional file 4 of Acyl-CoA-binding protein (ACBP) genes involvement in response to abiotic stress and exogenous hormone application in barley (Hordeum vulgare L.)
Creators: name: Chang, Huayu
name: Ma, Minhu
name: Gu, Mingzhou
name: Li, Shanshan
name: Li, Mengrun
name: Guo, Ganggang
name: Xing, Guofang
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Supplementary Material 4
sj-docx-2-dhj-10.1177_20552076231180677 - Supplemental material for Prospective mixed-methods study evaluating the potential of a voicebot (CovBot) to relieve German health authorities during the COVID-19 infodemic
Creators: name: Voelskow, Vanessa
name: Meßner, Claudia
name: Kurth, Tobias
name: Busam, Amelie
name: Glatz, Toivo
name: Ebert, Natalie
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-2-dhj-10.1177_20552076231180677 for Prospective mixed-methods study evaluating the potential of a voicebot (CovBot) to relieve German health authorities during the COVID-19 infodemic by Vanessa Voelskow, Claudia Meßner, Tobias Kurth, Amelie Busam, Toivo Glatz and Natalie Ebert in DIGITAL HEALTH
A REVISED METHOD FOR OBSERVING THE SAME NANNOFOSSIL SPECIMENS WITH SCANNING ELECTRON MICROSCOPE AND LIGHT MICROSCOPE
Creators: name: RADRIZZANI, C. PIRINI
name: CASTRADORI, D.
name: ERBA, E.
name: GUASTI, G.
name: RIZZI, A.
Publisher: name: Rivista Italiana di Paleontologia e Stratigrafia (Research In Paleontology and Stratigraphy)
Year: 2018
Subjects: New investigation technique; Scanning electron microscope and light microscope; Calcareous nannofossils.

description: A new method for the observation of the same nannofossil specimens with scanning electron microscope and light microscope, involving the use of a grid, is described. This technique provides a complete analysis of the morphological diagnostic characteristics of calcareous nannofossils and other microfossils.
description: Rivista Italiana di Paleontologia e Stratigrafia (Research In Paleontology and Stratigraphy), Vol 95, No 4 (1990)
Soft Adversarial Training Can Retain Natural Accuracy
Creators: name: Sharma, Abhijith
name: Narayan, Apurva
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Adversarial training for neural networks has been in the limelight in recent years. The advancement in neural network architectures over the last decade has led to significant improvement in their performance. It sparked an interest in their deployment for real-time applications. This process initiated the need to understand the vulnerability of these models to adversarial attacks. It is instrumental in designing models that are robust against adversaries. Recent works have proposed novel techniques to counter the adversaries, most often sacrificing natural accuracy. Most suggest training with an adversarial version of the inputs, constantly moving away from the original distribution. The focus of our work is to use abstract certification to extract a subset of inputs for (hence we call it 'soft') adversarial training. We propose a training framework that can retain natural accuracy without sacrificing robustness in a constrained setting. Our framework specifically targets moderately critical applications which require a reasonable balance between robustness and accuracy. The results testify to the idea of soft adversarial training for the defense against adversarial attacks. At last, we propose the scope of future work for further improvement of this framework.
description: 7 pages, 6 figures
A NEW SPECIES OF BIVALVE, LIMATULA GRAVINAE (PLEISTOCENE, SOUTHERN ITALY)
Creators: name: CALDARA, M.
name: D’ALESSANDRO, A.
name: DI GERONIMO, I.
Publisher: name: Rivista Italiana di Paleontologia e Stratigrafia (Research In Paleontology and Stratigraphy)
Year: 2018
Subjects: Bivalve; Taxonomy; Pleistocene; Southern Italy.

description: A new species of Limatula is erected. The material derives from clayey silt cropping out near Gravina in Puglia that represents the regressive ﬁnal phase of the Pleistocene "Gravina Clay" Formation.
description: Rivista Italiana di Paleontologia e Stratigrafia (Research In Paleontology and Stratigraphy), Vol 95, No 4 (1990)
Additional file 5 of Acyl-CoA-binding protein (ACBP) genes involvement in response to abiotic stress and exogenous hormone application in barley (Hordeum vulgare L.)
Creators: name: Chang, Huayu
name: Ma, Minhu
name: Gu, Mingzhou
name: Li, Shanshan
name: Li, Mengrun
name: Guo, Ganggang
name: Xing, Guofang
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Supplementary Material 5
Supplemental Material - The Effect of Surgery on the Prognosis of Gastric Lymphoma: A Meta-analysis
Creators: name: Shi, Min
name: Yao, Yao
name: Ding, Haifeng
name: Yang, Jian
name: Zhang, Cong
name: Wu, Ying
name: Guo, Tao
Publisher: name: SAGE Journals
Year: 2023
Subjects: Surgery

description: Supplemental Material for The Effect of Surgery on the Prognosis of Gastric Lymphoma: A Meta-analysis by Min Shi, Yao Yao, Haifeng Ding, Jian Yang, Cong Zhang, Ying Wu, and Tao Guo in The American Surgeon™.
Clubiona japonica L. Koch 1878
Creators: name: Li, Jian Yong
name: Liu, Jie
name: Chen, Jian
Publisher: name: Zenodo
Year: 2015
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Clubionidae
Clubiona
Clubiona japonica

description: Clubiona japonica L. Koch, 1878
 Clubiona japonica Yoo and Kim 2002: 26, f. 19.
description: Published as part of Li, Jian Yong, Liu, Jie & Chen, Jian, 2015, Bibliographic checklist of Korean spiders (Arachnida: Araneae) ver. 2015, pp. 1-112 in Journal of Species Research 4 on page 6, DOI: 10.12651/JSR.2015.4, http://zenodo.org/record/13137482
Additional file 2 of Investigating the impact of regulatory B cells and regulatory B cell-related genes on bladder cancer progression and immunotherapeutic sensitivity
Creators: name: Zhou, Jiawei
name: Zhou, Ranran
name: Zhu, Yuanchao
name: Deng, Shikai
name: Muhuitijiang, Bahaerguli
name: Li, Chengyao
name: Shi, Xiaojun
name: Zhang, Ling
name: Tan, Wanlong
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Supplementary Material 2
Social Return on Investment of Chiang Mai’s Urban Pesticide-free Vegetable Production System Development Project
Creators: name: Kitchaicharoen, J.
name: Suebpongsang, P.
name: Singvejsakul, J.
name: Pradit, O.
Publisher: name: Unknown
Year: 2024
Subjects: subject: Community/Rural/Urban Development
subject: Crop Production/Industries
subject: Production Economics
subject: Sustainability
subject: Sustainable production, urban farming development, social impact, community empowerment

description: The Center for Agricultural Resource Systems Research at the Faculty of Agriculture, Chiang Mai University initiated a project for producing pesticide-free vegetable in the urban agro-ecosystem of Chiang Mai, aiming to serve as a model for promoting pesticide-free vegetable production in urban areas, aligned with Sustainable Development Goals 12 (Responsible Consumption and Production). The project funded by the Program Management Unit on Area Based Development (PMU A) for a one-year duration starting from May 2021 and ended in April 2022. This study investigates the Social Return on Investment (SROI) of the project. The analysis aims to elucidates the project’s multifaceted outcomes and offer valuable insights for policymakers to encourage investments in safe vegetable production within urban domains. The SROI evaluation demonstrated the project’s success in achieving economic, social, and environmental objectives, particularly in establishing a sustainable source of safe food through a community of pesticide-free vegetable producers in urban areas. This initiative fostered community interaction, economic development, and improved health through pesticide-free vegetable consumption, showcasing a potential model for green urban communities. Despite challenges posed by the COVID-19 pandemic, the project yielded significant benefits over ten years period, with a net present value of $66,831 and an SROI of 2.99, indicating that every $1 invested generated a social return of $2.99 – a favorable rate for agricultural projects. The project’s success underscores the importance of continued support from the Faculty of Agriculture, Chiang Mai University, or relevant research funding agencies to sustain such impactful endeavors.
Exploring the Potential of Feature Density in Estimating Machine Learning Classifier Performance with Application to Cyberbullying Detection
Creators: name: Eronen, Juuso
name: Ptaszynski, Michal
name: Masui, Fumito
name: Leliwa, Gniewosz
name: Wroczynski, Michal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this research. we analyze the potential of Feature Density (HD) as a way to comparatively estimate machine learning (ML) classifier performance prior to training. The goal of the study is to aid in solving the problem of resource-intensive training of ML models which is becoming a serious issue due to continuously increasing dataset sizes and the ever rising popularity of Deep Neural Networks (DNN). The issue of constantly increasing demands for more powerful computational resources is also affecting the environment, as training large-scale ML models are causing alarmingly-growing amounts of CO2, emissions. Our approach 1s to optimize the resource-intensive training of ML models for Natural Language Processing to reduce the number of required experiments iterations. We expand on previous attempts on improving classifier training efficiency with FD while also providing an insight to the effectiveness of various linguistically-backed feature preprocessing methods for dialog classification, specifically cyberbullying detection.
description: arXiv admin note: substantial text overlap with arXiv:2111.01689
Additional file 3 of Investigating the impact of regulatory B cells and regulatory B cell-related genes on bladder cancer progression and immunotherapeutic sensitivity
Creators: name: Zhou, Jiawei
name: Zhou, Ranran
name: Zhu, Yuanchao
name: Deng, Shikai
name: Muhuitijiang, Bahaerguli
name: Li, Chengyao
name: Shi, Xiaojun
name: Zhang, Ling
name: Tan, Wanlong
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Supplementary Material 3
Additional file 1 of Recurrent myocardial injury in a de novo SON mutation ZTTK syndrome patient: a case report
Creators: name: Na, Jia
name: Cui, Lang
name: Zhen, Zhen
name: Chen, Xi
name: Li, Qirui
name: Gao, Lu
name: Yuan, Yue
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 1
sj-docx-4-tia-10.1177_23312165221130581 - Supplemental material for A Glimpse of Memory Through the Eyes: Pupillary Responses Measured During Encoding Reflect the Likelihood of Subsequent Memory Recall in an Auditory Free Recall Test
Creators: name: Micula, Andreea
name: Rönnberg, Jerker
name: Książek, Patrycja
name: Murmu Nielsen, Reena
name: Wendt, Dorothea
name: Fiedler, Lorenz
name: Ng, Elaine Hoi Ning
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-4-tia-10.1177_23312165221130581 for A Glimpse of Memory Through the Eyes: Pupillary Responses Measured During Encoding Reflect the Likelihood of Subsequent Memory Recall in an Auditory Free Recall Test by Andreea Micula, Jerker Rönnberg, Patrycja Książek, Reena Murmu Nielsen, Dorothea Wendt, Lorenz Fiedler and Elaine Hoi Ning Ng in Trends in Hearing
sj-docx-5-tia-10.1177_23312165221130581 - Supplemental material for A Glimpse of Memory Through the Eyes: Pupillary Responses Measured During Encoding Reflect the Likelihood of Subsequent Memory Recall in an Auditory Free Recall Test
Creators: name: Micula, Andreea
name: Rönnberg, Jerker
name: Książek, Patrycja
name: Murmu Nielsen, Reena
name: Wendt, Dorothea
name: Fiedler, Lorenz
name: Ng, Elaine Hoi Ning
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-5-tia-10.1177_23312165221130581 for A Glimpse of Memory Through the Eyes: Pupillary Responses Measured During Encoding Reflect the Likelihood of Subsequent Memory Recall in an Auditory Free Recall Test by Andreea Micula, Jerker Rönnberg, Patrycja Książek, Reena Murmu Nielsen, Dorothea Wendt, Lorenz Fiedler and Elaine Hoi Ning Ng in Trends in Hearing
Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection
Creators: name: Eronen, Juuso
name: Ptaszynski, Michal
name: Masui, Fumito
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In most cases, word embeddings are learned only from raw tokens or in some cases, lemmas. This includes pre-trained language models like BERT. To investigate on the potential of capturing deeper relations between lexical items and structures and to filter out redundant information, we propose to preserve the morphological, syntactic and other types of linguistic information by combining them with the raw tokens or lemmas. This means, for example, including parts-of-speech or dependency information within the used lexical features. The word embeddings can then be trained on the combinations instead of just raw tokens. It is also possible to later apply this method to the pre-training of huge language models and possibly enhance their performance. This would aid in tackling problems which are more sophisticated from the point of view of linguistic representation, such as detection of cyberbullying.
Additional file 2 of Recurrent myocardial injury in a de novo SON mutation ZTTK syndrome patient: a case report
Creators: name: Na, Jia
name: Cui, Lang
name: Zhen, Zhen
name: Chen, Xi
name: Li, Qirui
name: Gao, Lu
name: Yuan, Yue
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 2
sj-docx-1-jer-10.1177_14680874221129331 – Supplemental material for Investigation of the effects of passive pre-chamber nozzle pattern and ignition system on engine performance and emissions
Creators: name: Di Sabatino, Francesco
name: Martinez-Hernandiz, Pablo Jose
name: Novella Rosa, Ricardo
name: Ekoto, Isaac
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-docx-1-jer-10.1177_14680874221129331 for Investigation of the effects of passive pre-chamber nozzle pattern and ignition system on engine performance and emissions by Francesco Di Sabatino, Pablo Jose Martinez-Hernandiz, Ricardo Novella Rosa and Isaac Ekoto in International Journal of Engine Research
sj-docx-1-ecx-10.1177_00144029221135572 - Supplemental material for Promoting Paraeducators’ Use of Evidence-Based Practices for Students With Autism
Creators: name: Sam, Ann M.
name: Steinbrenner, Jessica R.
name: Odom, Samuel L.
name: Nowell, Sallie W.
name: Waters, Victoria
name: Perkins, Yolanda
name: White, Mary
name: Swaminathan, Hariharan
name: Rogers, H. Jane
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, sj-docx-1-ecx-10.1177_00144029221135572 for Promoting Paraeducators’ Use of Evidence-Based Practices for Students With Autism by Ann M. Sam, Jessica R. Steinbrenner and Samuel L. Odom, Sallie W. Nowell, Victoria Waters, Yolanda Perkins, Mary White, Hariharan Swaminathan, H. Jane Rogers in Exceptional Children
Additional file 1 of Study protocol for a pragmatic randomised controlled trial of comparing enhanced acceptance and commitment therapy plus (+) added to usual aftercare versus usual aftercare only, in patients living with or beyond cancer: SUrvivors’ Rehabilitation Evaluation after CANcer (SURECAN) trial
Creators: name: Khan, Imran
name: Taylor, Stephanie J. C.
name: Robinson, Clare
name: Moschopoulou, Elisavet
name: McCrone, Paul
name: Bourke, Liam
name: Thaha, Mohamed
name: Bhui, Kamaldeep
name: Rosario, Derek
name: Ridge, Damien
name: Donovan, Sheila
name: Korszun, Ania
name: Little, Paul
name: Morgan, Adrienne
name: Quentin, Olivier
name: Roylance, Rebecca
name: White, Peter
name: Chalder, Trudie
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Additional file 1.
A new approach to improve the performance of OFDM signal for 6G communication
Creators: name: M, Usha S.
name: B, Mahesh H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: C.2.2

description: The orthogonal frequency division multiplexing is a very efficient modulation technique that can achieve very high throughput by transmitting many carriers simultaneously and it is spectrally efficient because of the proximity of the subcarriers. OFDM is used in 5G communication for higher data transmission. 6th generation communication also demands OFDM, since it is more spectrally efficient and suitable for high data transmission. The drawback of the OFDM includes peak to average power ratio and sensitivity to carrier offsets and drifts. The usage of a non-linear power amplifier causes the signal spreading and leads to inter-modulation and signal constellation distortion. These two distortions have an impact on the signal-to-noise ratio and hence reduce the efficiency. The methods used to reduce PAPR are clipping and filtering, selective mapping, partial transmit sequence, tone reservation, and injection and non-linear commanding. The drawbacks of the above methods are computational complexity, spectrum inefficiency, increase in bit error rate and PAPR rate. In this work, three effective methods are discussed and compared to improve the performance parameters. These are adaptive peak window method based on harmonize clipping, harmonics kernel adaptive filter and Slepian-based flat-top window techniques are presented to reduce the BER, PAPR, and CCDF to improve the signal-to-noise of the system. This window technique averages out the noise spread out in the spectrum and thus reduces the signal loss by minimizing peak to average power ratio. The results are analyzed and compared with the existing conventional methods. Finally, the reductions in PAPR, BER and CCDF obtained are discussed in the results and comparison section. The proposed work has a higher signal-to-noise ratio than the conventional methods.
description: 14 pages, 12 figures
Thanatus nodongensis Kim and Kim 2012
Creators: name: Li, Jian Yong
name: Liu, Jie
name: Chen, Jian
Publisher: name: Zenodo
Year: 2015
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Philodromidae
Thanatus
Thanatus nodongensis

description: Thanatus nodongensis Kim and Kim, 2012
 Thanatus nodongensis Kim and Kim 2012: 72, f. 1­5.
description: Published as part of Li, Jian Yong, Liu, Jie & Chen, Jian, 2015, Bibliographic checklist of Korean spiders (Arachnida: Araneae) ver. 2015, pp. 1-112 in Journal of Species Research 4 on page 6, DOI: 10.12651/JSR.2015.4, http://zenodo.org/record/13137482
sj-docx-2-aph-10.1177_10105395231220473 – Supplemental material for Topics Included in Health Literacy Studies in Asia: A Systematic Review
Creators: name: Duong, Hai
name: Chang, Peter
Publisher: name: SAGE Journals
Year: 2023
Subjects: Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-2-aph-10.1177_10105395231220473 for Topics Included in Health Literacy Studies in Asia: A Systematic Review by Hai Duong and Peter Chang in Asia Pacific Journal of Public Health
Additional file 2 of Study protocol for a pragmatic randomised controlled trial of comparing enhanced acceptance and commitment therapy plus (+) added to usual aftercare versus usual aftercare only, in patients living with or beyond cancer: SUrvivors’ Rehabilitation Evaluation after CANcer (SURECAN) trial
Creators: name: Khan, Imran
name: Taylor, Stephanie J. C.
name: Robinson, Clare
name: Moschopoulou, Elisavet
name: McCrone, Paul
name: Bourke, Liam
name: Thaha, Mohamed
name: Bhui, Kamaldeep
name: Rosario, Derek
name: Ridge, Damien
name: Donovan, Sheila
name: Korszun, Ania
name: Little, Paul
name: Morgan, Adrienne
name: Quentin, Olivier
name: Roylance, Rebecca
name: White, Peter
name: Chalder, Trudie
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Additional file 2: Table S1. All items from the World Health Organization Trial Registration Data Set for this protocol.
sj-docx-2-mde-10.1177_23821205231225923 - Supplemental material for Opioid Overdose Recognition: A Survey of Perceived Preparedness and Desire for Curricular Integration Among Current US Medical Students
Creators: name: Walsh, Lindsay
name: Chapman, Brittany
name: Carey, Jennifer
name: Loycano, Kayla
name: Carreiro, Stephanie
Publisher: name: SAGE Journals
Year: 2024
Subjects: Education

description: Supplemental material, sj-docx-2-mde-10.1177_23821205231225923 for Opioid Overdose Recognition: A Survey of Perceived Preparedness and Desire for Curricular Integration Among Current US Medical Students by Lindsay Walsh, Brittany Chapman, Jennifer Carey, Kayla Loycano and Stephanie Carreiro in Journal of Medical Education and Curricular Development
Plasma-Electric Field Controlled Growth of Oriented Graphene for Energy Storage Applications
Creators: name: Ghosh, Subrata
name: Polaki, S. R.
name: Kamruddin, M.
name: Jeong, Sang Mun
name: Kostya
name: Ostrikov
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Graphene is well known to grow as flat sheets aligned with the growth substrate. Oriented graphene structures typically normal to the substrate have recently gained major attention. Most often, normal orientation is achieved in plasma-assisted growth and is believed to be due to plasma induced in-built electric field, which is usually oriented normal to the substrate. This work focuses on the effect of in-built electric field on growth direction, morphology, interconnectedness, and physical properties of various configurations of graphene structures and reveals the unique dependence of these features on electric field orientation. It is shown that tilting of growth substrates from parallel to normal direction with respect to the direction of inbuilt plasma electric field leads to the morphological transitions from flat graphene structure, to oriented individual graphene sheets and then interconnected three-dimensional networks of oriented graphene sheets. The revealed transition of the growth orientation leads to change in wetting nature, types of defect in graphitic structures as well as affects their charge storage capacity when used as supercapacitor electrodes. This simple and versatile approach opens new opportunities for the production of potentially large batches of differently oriented and structured graphene sheets in one production run.
description: 12 pages, 4 Figures
НОВОЕ В СИНХРОНИЗАЦИИ-СТИМУЛЯЦИИ  ЭСТРУСА СВИНОК
Creators: name: Д.М. Богданович
Publisher: name: Северо-Кавказский федеральный научный аграрный центр
Year: 2018

description: Комплексное использование ушных прогестагеновых имплантов сроком на 10 дней с инъекцией гонадотропина сыворотки жеребых кобыл в день извлечения позволяет добиться высоких результатов синхронизации половой охоты ремонтных свинок с минимальными сроками наступления эструса (до 4 дней), а также способствует увеличению многоплодия.
РАСТИТЕЛЬНЫЕ БЕЛКИ ДЛЯ ПРОИЗВОДСТВА  ПРОДУКТОВ ПИТАНИЯ
Creators: name: Варивода А.А.
Publisher: name: Северо-Кавказский федеральный научный аграрный центр
Year: 2018

description: Работа представляет собой обзор современного состояния белковой недостаточности в Российской Федерации. Предложены новые нетрадиционные источники легкоусвояемого растительного белка для практического использования в производстве комбинированных продуктов питания с высокими потребительскими свойствами и заданной функциональной значимостью. Разработаны смеси с «идеальным» аминокислотным составом. Методом компьютерного моделирования спроектированы оптимальные варианты белково-витаминных композитов, сбалансированных по содержанию незаменимых аминокислот. Разработанные рецептуры белковых смесей могут быть использованы при проектировании новых продуктов питания.
Metal Oxide-Vertical Graphene Nanosheets for 2.6 V Aqueous Electrochemical Hybrid Capacitor
Creators: name: Ghosh, Subrata
name: Polaki, S. R.
name: Sahoo, Gopinath
name: Jin, En-Mei
name: Kamruddin, M.
name: Cho, Jung Sang
name: Jeong, Sang Mun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Aqueous asymmetric electrochemical capacitor, with their high power density and superior cycle stability in comparison to conventional batteries, are presently considered as the most promising contender for energy storage. However, fabricating an electrode material and choosing a suitable aqueous electrolyte are vital in developing an electrochemical capacitor device with high charge storage capacity. Herein, we report a feasible method to synthesize MnO2/Vertical graphene nanosheets (VGN) and Fe2O3/VGN as positive and negative electrodes, respectively. The surface of VGN skeleton is independently decorated with MnO2 having sponge gourd-like morphology and Fe2O3 having nanorice like morphology. A schematic representation of the growth mechanism for metal oxide on VGN network is established. Both the electrode have shown around 250 times higher charge-storage capacity than the bare VGN (0.47 mF/cm2) with the specific capacitance of 118 (MnO2/VGN) and 151 mF/cm2 (Fe2O3/VGN). In addition to the double layer capacitance contribution, the porous interconnected vertical graphene architecture serves as a mechanical backbone for the metal oxide materials and provides multiple conducting channels for the electron transport. The fabricated asymmetric device exhibited a specific capacitance of 76 mF/cm2 and energy density of 71 microWh/cm2 with an excellent electrochemical stability up to 12000 cycles, over a potential window of 2.6 V. The commendable performance of asymmetric electrochemical capacitor device authenticated its potential utilization for next-generation portable energy storage device.
description: 18 pages, 7 figures, 1 tables
Additional file 1 of Sedation versus general anesthesia on all-cause mortality in patients undergoing percutaneous procedures: a systematic review and meta-analysis
Creators: name: Su, Xuesen
name: Zhao, Zixin
name: Zhang, Wenjie
name: Tian, Yihe
name: Wang, Xin
name: Yuan, Xin
name: Tian, Shouyuan
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary Material 1.
Additional file 2 of Sedation versus general anesthesia on all-cause mortality in patients undergoing percutaneous procedures: a systematic review and meta-analysis
Creators: name: Su, Xuesen
name: Zhao, Zixin
name: Zhang, Wenjie
name: Tian, Yihe
name: Wang, Xin
name: Yuan, Xin
name: Tian, Shouyuan
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary Material 2.
COLLABORATIVE MOBILE LEARNING APPROACH
Creators: name: Khuvandikova, Khadicha
Publisher: name: Zenodo
Year: 2024

description: The article is devoted to the analysis of various approaches to the concepts of "mobile learning" and "collaborative learning" separately and then together, which forms the basis of modern innovative approaches and teaching methods. The paper presents the characteristic features of mobile learning and collaborative learning, and also analyzes their innovative symbiosis - collaborative mobile learning. Based on the definition of the concept of "mobile learning", the concepts of "didactic information and communication technology" and "mobile collaborative learning model" are identified and formulated.
Tibellus kimi Kim and Seung 2015
Creators: name: Li, Jian Yong
name: Liu, Jie
name: Chen, Jian
Publisher: name: Zenodo
Year: 2015
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Philodromidae
Tibellus
Tibellus kimi

description: Tibellus kimi Kim and Seung, 2015
 Tibellus kimi Kim and Seung 2015: 11, f. 1­8.
description: Published as part of Li, Jian Yong, Liu, Jie & Chen, Jian, 2015, Bibliographic checklist of Korean spiders (Arachnida: Araneae) ver. 2015, pp. 1-112 in Journal of Species Research 4 on page 6, DOI: 10.12651/JSR.2015.4, http://zenodo.org/record/13137482