cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Supplemental_material – Supplemental material for The Public’s Foreign Aid Priorities: Evidence from a Conjoint Experiment
Creators: name: Doherty, David
name: Bryan, Amanda Clare
name: Hanania, Dina
name: Pajor, Matthew
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, Supplemental_material for The Public’s Foreign Aid Priorities: Evidence from a Conjoint Experiment by David Doherty, Amanda Clare Bryan, Dina Hanania and Matthew Pajor in American Politics Research
Supplemental_Material_for_Attachment_unforgiveness_and_relationship_satisfaction_in_couples_A_dyadic_mediation_analysis_R2_(2) - Romantic attachment, unforgiveness and relationship satisfaction in couples: A dyadic mediation analysis
Creators: name: Guzmán-González, Mónica
name: Contreras, Paula
name: Casu, Giulia
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental_Material_for_Attachment_unforgiveness_and_relationship_satisfaction_in_couples_A_dyadic_mediation_analysis_R2_(2) for Romantic attachment, unforgiveness and relationship satisfaction in couples: A dyadic mediation analysis by Mónica Guzmán-González, Paula Contreras and Giulia Casu in Journal of Social and Personal Relationships
Supplemental Material, Lorant_et_al_CT-1923_R1_Table_S1 - Vascular Delivery of Allogeneic MuStem Cells in Dystrophic Dogs Requires Only Short-Term Immunosuppression to Avoid Host Immunity and Generate Clinical/Tissue Benefits
Creators: name: Lorant, Judith
name: Larcher, Thibaut
name: Jaulin, Nicolas
name: Hedan, Benoît
name: Lardenois, Aurélie
name: Leroux, Isabelle
name: Dubreil, Laurence
name: Ledevin, Mireille
name: Hélicia Goubin
name: Moullec, Sophie
name: Jack-Yves Deschamps
name: Thorin, Chantal
name: André, Catherine
name: Oumeya Adjali
name: Rouger, Karl
Publisher: name: SAGE Journals
Year: 2018
Subjects: Medicine
Cell Biology

description: Supplemental Material, Lorant_et_al_CT-1923_R1_Table_S1 for Vascular Delivery of Allogeneic MuStem Cells in Dystrophic Dogs Requires Only Short-Term Immunosuppression to Avoid Host Immunity and Generate Clinical/Tissue Benefits by Judith Lorant, Thibaut Larcher, Nicolas Jaulin, Benoît Hedan, Aurélie Lardenois, Isabelle Leroux, Laurence Dubreil, Mireille Ledevin, Hélicia Goubin, Sophie Moullec, Jack-Yves Deschamps, Chantal Thorin, Catherine André, Oumeya Adjali, and Karl Rouger in Cell Transplantation
Don_OnlineAppendix – Supplemental material for Low Self-Esteem Predicts Indirect Support Seeking and Its Relationship Consequences in Intimate Relationships
Creators: name: Don, Brian P.
name: Yuthika U. Girme
name: Hammond, Matthew D.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Don_OnlineAppendix for Low Self-Esteem Predicts Indirect Support Seeking and Its Relationship Consequences in Intimate Relationships by Brian P. Don, Yuthika U. Girme and Matthew D. Hammond in Personality and Social Psychology Bulletin
Supplementary_File_1_NHP_list – Supplemental material for Naturopathic Oncology Care for Pediatric Cancers: A Practice Survey
Creators: name: Psihogios, Athanasios
name: Jullie K. Ennis
name: Seely, Dugald
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care

description: Supplemental material, Supplementary_File_1_NHP_list for Naturopathic Oncology Care for Pediatric Cancers: A Practice Survey by Athanasios Psihogios, Jullie K. Ennis and Dugald Seely in Integrative Cancer Therapies
GAZETA DISKURSI – AXBOROT KOMMUNIKATSIYASINING AJRALMAS QISMI SIFATIDA
Creators: name: Nazirqulova, Dilrabo
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada ommaviy aborot vositasi bo’lmish gazeta va uning jamiyat, ommaga bo’lgan ta’siri haqida bir necha mulohazalar olib boriladi. Gazeta diskursiga o’tishdan oldin, diskurs atamasining o’zi kelib chiqishi, uning dunyo va o’zbek olimlari tadqiqotlarida qanday izohlanishi borasida, turlicha yondashuvlar va fikr-mulohazalari keltirlishi bilan bir qatorda, gazeta diskursi atamasi to’g’risida bir necha ta’riflar turli olimlar nazdida qanday ko’rinishga ega ekanligi haqida ma’lumotar berilgan. Gazeta diskursining ommaviy axborot vositalari ichida qanday ahamiyatga ega ekanligi haqida  fikrlar yurilitib, uning omma auditoriyasiga nisbatan qanday maqsad va vazifalar yo’lida ishtirok etishi, ta’sir qilish , targ’ibot va tashviqot ishlari olib borishda va hattoki reklmaa sohasida ham anchagina natijaviy xarakterga ega ekanligi ochib berilgan.
Supplemental Material, Web_appendix_final - A Meta-Analysis of Frontline Employees’ Role Behavior and the Moderating Effects of National Culture
Creators: name: Schepers, Jeroen J. L.
name: Borgh, Michel Van Der
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 150402 Hospitality Management

description: Supplemental Material, Web_appendix_final for A Meta-Analysis of Frontline Employees’ Role Behavior and the Moderating Effects of National Culture by Jeroen J. L. Schepers and Michel van der Borgh in Journal of Service Research
Mass enhancement and metal-nonmetal transition driven by d-f hybridization in perovskites La1-xPrxCuO3
Creators: name: Takahashi, H.
name: Ito, M.
name: Fujioka, J.
name: Ochi, M.
name: Sakai, S.
name: Arita, R.
name: Sagayama, H.
name: Yamasaki, Y.
name: Ishiwata, S.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We report the large electron-mass enhancement and the metal to nonmetal transition upon the Pr doping in perovskite-type La1-xPrxCuO3. With increasing the Pr content x around 0.6, the LaCuO3-type three-dimensional structure with trivalent Cu ions changes to the quasi-one-dimensional structure with nearly divalent Cu ions, which accompanies significant changes in the electronic properties. Based on the resistivity, optical conductivity, specific heat measurements and the first-principles calculations, we discuss the formation of a nearly localized nonmetallic state stabilized by the hybridization between Cu 3d, O 2p, and Pr 4f orbitals in the quasi-one-dimensional lattice. The present perovskite-type cuprates offer a unique opportunity to explore novel quantum phases of correlated electrons in low-dimensional lattice, where the spin/charge/orbital degrees of freedom of A- and B-site ions are entangled.
description: 5 pages,4 figures
Reviewer_2_v.2 – Supplemental material for Cytological-energy analysis of pleural effusions with predominance of neutrophils
Creators: name: Matuchova, Inka
name: Kelbich, Petr
name: Kubalik, Jan
name: Hanuljakova, Eva
name: Stanek, Ivan
name: Maly, Vilem
name: Karpjuk, Ondrej
name: Krejsek, Jan
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 110203 Respiratory Diseases

description: Supplemental material, Reviewer_2_v.2 for Cytological-energy analysis of pleural effusions with predominance of neutrophils by Inka Matuchova, Petr Kelbich, Jan Kubalik, Eva Hanuljakova, Ivan Stanek, Vilem Maly, Ondrej Karpjuk and Jan Krejsek in Therapeutic Advances in Respiratory Disease
Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications
Creators: name: Zhang, Tiehua
name: Jin, Jiong
name: Zheng, Xi
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: With the advancement of the Internet of Things (IoT) technologies, the number of heterogeneous IoT applications requiring a variety of resources and services is increasing dramatically. Recently, the introduction of fog computing has further unlocked the potential of real-time services within the IoT context. On the basis of fog architecture, we herein propose a novel rate-adaptive fog service platform aiming at heterogeneous services provisioning and optimized service rate allocation. By forming several service groups in the fog network in which each service could be adequately provisioned, service consumers would always benefit from the fact that the majority of services produced by the IoT applications are in their proximity and thus are delivered to the destination promptly. Taking advantage of the well-known network utility maximization (NUM) approach, a service rate-adaptive algorithm is developed to empower fog nodes working together to adjust service delivery rate dynamically. Throughout this process, the algorithm takes the current network condition and constraint into account to ensure the rate is calibrated in favor of providing satisfactory quality of service (QoS) to each service receiver at the same time. Compared to other resource allocation strategies that mainly focus on allocating resources for a single network service, our proposed platform is capable of not only dealing with both the elastic and inelastic services but also handling the abrupt network changes and converging back to the global optimum rapidly.
A Novel Workflow-Level Data Placement Strategy for Data-Sharing Scientific Cloud Workflows
Creators: name: Li, Xuejun
name: Zhang, Lei
name: Wu, Yang
name: Liu, Xiao
name: Zhu, Erzhou
name: Yi, Huikang
name: Wang, Futian
name: Zhang, Cheng
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: Cloud computing can provide a more cost-effective way to deploy scientific workflows than traditional distributed computing environments such as cluster and grid. Due to the large size of scientific datasets, data placement plays an important role in scientific cloud workflow systems for improving system performance and reducing data transfer cost. Traditional task-level data placement strategy only considers shared datasets within individual workflows to reduce data transfer cost. However, it is obvious that task-level strategy is not necessarily good enough for the situation of multiple workflows at the workflow level. In this paper, a novel workflow-level data placement model is constructed, which regards multiple workflows as a whole. Then, a two-stage data placement strategy is proposed which first pre-allocates initial datasets to proper datacenters during workflow build-time stage, and then dynamically distributes newly generated datasets to appropriate datacenters during runtime stage. Both stages use an efficient discrete particle swarm optimization algorithm to place flexible-location datasets. Comprehensive experiments demonstrate that our workflow-level data placement strategy can be more cost-effective than its task-level counterpart for data-sharing scientific cloud workflows.
Supplemental Material, CCX-19-0313.R2_-_prisma_2009_checklist - Contrast of Mastoscopic and Conventional Axillary Lymph Node Dissection of Patients With Breast Cancer: Meta-Analysis
Creators: name: Xiong, Hanchu
name: Chen, Zihan
name: Xu, Ling
name: Chen, Cong
name: Fu, Qingshuang
name: Teng, Rongyue
name: Chen, Jida
name: Xie, Shuduo
name: Wang, Linbo
name: Yu, Xiao-Fang
name: Zhou, Jichun
Publisher: name: SAGE Journals
Year: 2020
Subjects: Oncology and Carcinogenesis not elsewhere classified

description: Supplemental Material, CCX-19-0313.R2_-_prisma_2009_checklist for Contrast of Mastoscopic and Conventional Axillary Lymph Node Dissection of Patients With Breast Cancer: Meta-Analysis by Hanchu Xiong, Zihan Chen, Ling Xu, Cong Chen, Qingshuang Fu, Rongyue Teng, Jida Chen, Shuduo Xie, Linbo Wang, Xiao-Fang Yu and Jichun Zhou in Cancer Control
Jelly Works in the REAL art program
Creators: name: Christensen, Jeanette
name: Reese, Jan-Ole
name: Thoen, Ella
name: Linke, Dirk
Publisher: name: Zenodo
Year: 2025
Subjects: art and science
science and art
gelatin degradation

description: This poster describes the collaboration between the artist Jeanette Christensen and researchers at the Unviersity of Oslo through the RealArt program. The poster was used as part of the REAL ART exhibition 2025 at the Science Library, University of Oslo, Norway
Self-adaptive K-means based on a covering algorithm
Creators: name: Zhang, Yiwen
name: Zhou, Yuanyuan
name: Guo, Xing
name: Wu, Jintao
name: He, Qiang
name: Liu, Xiao
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: The K-means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. However, the value of the clustering number k in the K-means algorithm is not always easy to be determined, and the selection of the initial centers is vulnerable to outliers. This paper proposes an improved K-means clustering algorithm called the covering K-means algorithm (C-K-means). The C-K-means algorithm can not only acquire efficient and accurate clustering results but also self-adaptively provide a reasonable numbers of clusters based on the data features. It includes two phases: the initialization of the covering algorithm (CA) and the Lloyd iteration of the K-means. The first phase executes the CA. CA self-organizes and recognizes the number of clusters k based on the similarities in the data, and it requires neither the number of clusters to be prespecified nor the initial centers to be manually selected. Therefore, it has a "blind" feature, that is, k is not preselected. The second phase performs the Lloyd iteration based on the results of the first phase. The C-K-means algorithm combines the advantages of CA and K-means. Experiments are carried out on the Spark platform, and the results verify the good scalability of the C-K-means algorithm. This algorithm can effectively solve the problem of large-scale data clustering. Extensive experiments on real data sets show that the accuracy and efficiency of the C-K-means algorithm outperforms the existing algorithms under both sequential and parallel conditions.
Supplemental Material, Supplementary_material - Testosterone and Cognitive Impairment or Dementia in Middle-Aged or Aging Males: Causation and Intervention, a Systematic Review and Meta-Analysis
Creators: name: Zhang, Zhichao
name: Kang, Deying
name: Li, Hongjun
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Geriatrics and Gerontology
subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Psychology not elsewhere classified
subject: Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental Material, Supplementary_material for Testosterone and Cognitive Impairment or Dementia in Middle-Aged or Aging Males: Causation and Intervention, a Systematic Review and Meta-Analysis by Zhichao Zhang, Deying Kang and Hongjun Li in Journal of Geriatric Psychiatry and Neurology
EMAL_Supplementary_Material_(28_May_20) - Second-order meta-analysis synthesizing the evidence on associations between school leadership and different school outcomes
Creators: name: Tan, Cheng Yong
name: Gao, Lin
name: Meijia Shi
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Education
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business

description: EMAL_Supplementary_Material_(28_May_20) for Second-order meta-analysis synthesizing the evidence on associations between school leadership and different school outcomes by Cheng Yong Tan, Lin Gao and Meijia Shi in Educational Management Administration & Leadership
Measurement of Efficiency and Productivity Change of Durian in Thailand
Creators: name: Hispania Sacra
Publisher: name: Hispania Sacra
Year: 2025

description: Thailand is the number one country in crop production and durian exports, with the highest recorded export value of nearly 2,816.9 million USD in 2020. Based on a literature review, this study used the Data Envelopment Analysis (DEA) method to measure the production and scale efficiency in Thailand's durian orchards. The Malmquist index was used to analyze durian productivity in different regions of Thailand. The analysis was based on secondary data on essential factors used in durian production in Thailand collected between 2011 and 2020. The findings indicate that the average index of production efficiency changes, in terms of technology change, real technical performance changes, efficiency changes per size, and productivity changes in durian production, were found to be 1.113, 1.040, 0.988, 1.128, and 1.158, respectively. The technology change index and the change in productivity of the central region scored higher than other areas, corresponding to farmland, yield area, and durian yield.
Workflow temporal verification for monitoring parallel business processes
Creators: name: Liu, Xiao
name: Wang, Dingxian
name: Yuan, Dong
name: Wang, Futian
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: Workflow temporal verification is conducted to guarantee on-time completion, which is one of the most important QoS (Quality of Service) dimensions for business processes running in the cloud. However, as today's business systems often need to handle a large number of concurrent customer requests, conventional response-time based process monitoring strategies conducted in a one-by-one fashion cannot be applied efficiently to a large batch of parallel processes because of significant time overhead. Similar situations may also exist in software companies where multiple software projects are carried out at the same time by software developers. To address such a problem, based on a novel runtime throughput consistency model, this paper proposes a QoS-aware throughput based checkpoint selection strategy, which can dynamically select a small number of checkpoints along the system timeline to facilitate the temporal verification of throughput constraints and achieve the target on-time completion rate. Experimental results demonstrate that our strategy can achieve the best efficiency and effectiveness compared with the state-of-the-art as and other representative response-time based checkpoint selection strategies.
Ensuring Cloud Data Reliability with Minimum Replication by Proactive Replica Checking
Creators: name: Li, Wenhao
name: Yang, Yun
name: Yuan, Dong
Publisher: name: Swinburne
Year: 2024

description: Data reliability and storage costs are two primary concerns for current Cloud storage systems. To ensure data reliability, the widely used multi-replica (typically three) replication strategy in current Clouds incurs a huge extra storage consumption, resulting in a huge storage cost for data-intensive applications in the Cloud in particular. In order to reduce the Cloud storage consumption while meeting the data reliability requirement, in this paper we present a cost-effective data reliability management mechanism named PRCR based on a generalized data reliability model. By using a proactive replica checking approach, while the running overhead for PRCR is negligible, PRCR ensures reliability of the massive Cloud data with the minimum replication, which can also serve as a cost effectiveness benchmark for replication based approaches. Our simulation indicates that, compared with the conventional three-replica strategy, PRCR can reduce from one-third to two-thirds of the Cloud storage space consumption, hence significantly lowering the storage cost in a Cloud.
McGue_OpenPracticesDisclosure_rev – Supplemental material for The Contribution of Cognitive and Noncognitive Skills to Intergenerational Social Mobility
Creators: name: McGue, Matt
name: Willoughby, Emily A.
name: Rustichini, Aldo
name: Johnson, Wendy
name: Iacono, William G.
name: Lee, James J.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, McGue_OpenPracticesDisclosure_rev for The Contribution of Cognitive and Noncognitive Skills to Intergenerational Social Mobility by Matt McGue, Emily A. Willoughby, Aldo Rustichini, Wendy Johnson, William G. Iacono and James J. Lee in Psychological Science
Suppl_Fig_1 – Supplemental material for Ultrasound-guided double central venous access for azygos vein via the ninth and tenth intercostal veins
Creators: name: Yoshimaru, Koichiro
name: Matsuura, Toshiharu
name: Uchida, Yasuyuki
name: Kajihara, Keisuke
name: Toriigahara, Yukihiro
name: Kawano, Yuki
name: Kondo, Takuya
name: Takahashi, Yoshiaki
name: Wakato Matsuoka
name: Kaku, Noriyuki
name: Maki, Jun
name: Taguchi, Tomoaki
Publisher: name: SAGE Journals
Year: 2020
Subjects: Cardiology

description: Supplemental material, Suppl_Fig_1 for Ultrasound-guided double central venous access for azygos vein via the ninth and tenth intercostal veins by Koichiro Yoshimaru, Toshiharu Matsuura, Yasuyuki Uchida, Keisuke Kajihara, Yukihiro Toriigahara, Yuki Kawano, Takuya Kondo, Yoshiaki Takahashi, Wakato Matsuoka, Noriyuki Kaku, Jun Maki and Tomoaki Taguchi in The Journal of Vascular Access
sj-pdf-1-smm-10.1177_0962280215588340 - Supplemental material for Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data
Creators: name: Eleni-Rosalina Andrinopoulou
name: D Rizopoulos
name: Takkenberg, Johanna JM
name: E Lesaffre
name: Davidian, Marie
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-smm-10.1177_0962280215588340 for Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data by Eleni-Rosalina Andrinopoulou, D Rizopoulos, Johanna JM Takkenberg, E Lesaffre, in Statistical Methods in Medical Research
sj-pdf-1-wso-10.1177_1747493020941273 - Supplemental material for Cilostazol versus aspirin in ischemic stroke with cerebral microbleeds versus prior intracerebral hemorrhage
Creators: name: Hong-Kyun Park
name: Lee, Ji Sung
name: Kim, Bum Joon
name: Park, Jong-Ho
name: Yong-Jae Kim
name: Sungwook Yu
name: Yang-Ha Hwang
name: Joung-Ho Rha
name: Heo, Sung Hyuk
name: Ahn, Seong Hwan
name: Woo-Keun Seo
name: Jong-Moo Park
name: Ju-Hun Lee
name: Kwon, Jee-Hyun
name: Sohn, Sung-Il
name: Jung, Jin-Man
name: Kwon, Sun U
name: Keun-Sik Hong
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Cardiology
subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-wso-10.1177_1747493020941273 for Cilostazol versus aspirin in ischemic stroke with cerebral microbleeds versus prior intracerebral hemorrhage by Hong-Kyun Park, Ji Sung Lee, Bum Joon Kim, Jong-Ho Park, Yong-Jae Kim, Sungwook Yu, Yang-Ha Hwang, Joung-Ho Rha, Sung Hyuk Heo, Seong Hwan Ahn, Woo-Keun Seo, Jong-Moo Park, Ju-Hun Lee, Jee-Hyun Kwon, Sung-Il Sohn, Jin-Man Jung, Sun U Kwon, Keun-Sik Hong and on behalf of the PICASSO investigators in International Journal of Stroke
Online_Supplement_v2_sent_5.5.20 – Supplemental material for Protest Issues and Political Inequality in Latin America
Creators: name: Somma, Nicolás M.
name: Bargsted, Matías
name: Sánchez, Felipe
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, Online_Supplement_v2_sent_5.5.20 for Protest Issues and Political Inequality in Latin America by Nicolás M. Somma, Matías Bargsted and Felipe Sánchez in American Behavioral Scientist
Appendix__AOP-20-0275 – Supplemental material for Andexanet Alfa, the Possible Alternative to Protamine for Reversal of Unfractionated Heparin
Creators: name: Maneno, John N.
name: Ness, Genevieve Lynn
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, Appendix__AOP-20-0275 for Andexanet Alfa, the Possible Alternative to Protamine for Reversal of Unfractionated Heparin by John Maneno and Genevieve Lynn Ness in Annals of Pharmacotherapy
A multi-agent framework for packet routing in wireless sensor networks
Creators: name: Ye, Dayong
name: Zhang, Minjie
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: Wireless sensor networks (WSNs) have been widely investigated in recent years. One of the fundamental issues in WSNs is packet routing, because in many application domains, packets have to be routed from source nodes to destination nodes as soon and as energy efficiently as possible. To address this issue, a large number of routing approaches have been proposed. Although every existing routing approach has advantages, they also have some disadvantages. In this paper, a multi-agent framework is proposed that can assist existing routing approaches to improve their routing performance. This framework enables each sensor node to build a cooperative neighbour set based on past routing experience. Such cooperative neighbours, in turn, can help the sensor to effectively relay packets in the future. This framework is independent of existing routing approaches and can be used to assist many existing routing approaches. Simulation results demonstrate the good performance of this framework in terms of four metrics: average delivery latency, successful delivery ratio, number of live nodes and total sensing coverage.
Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds
Creators: name: Poola, Deepak
name: Garg, Saurabh Kumar
name: Buyya, Rajkumar
name: Yang, Yun
name: Ramamohanarao, Kotagiri
Publisher: name: Swinburne
Year: 2024

description: Dynamic resource provisioning and the notion of seemingly unlimited resources are attracting scientific workflows rapidly into Cloud computing. Existing works on workflow scheduling in the context of Clouds are either on deadline or cost optimization, ignoring the necessity for robustness. Robust scheduling that handles performance variations of Cloud resources and failures in the environment is essential in the context of Clouds. In this paper, we present a robust scheduling algorithm with resource allocation policies that schedule workflow tasks on heterogeneous Cloud resources while trying to minimize the total elapsed time (make span) and the cost. Our results show that the proposed resource allocation policies provide robust and fault-tolerant schedule while minimizing make span. The results also show that with the increase in budget, our policies increase the robustness of the schedule.
A privacy-leakage-tolerance based noise enhancing strategy for privacy protection in cloud computing
Creators: name: Zhang, Gaofeng
name: Yang, Yun
name: Chen, Jinjun
Publisher: name: Swinburne
Year: 2024

description: Cloud computing promises a service-oriented environment where customers can utilise IT services in a pay-as-you-go fashion while saving huge capital investments on their own IT infrastructures. Due to the openness, malicious service providers may exist in these environments. Some of these service providers could record service data in cloud service processes about a customer and then collectively deduce the customer's private information without authorisation. Noise obfuscation is an effective approach in this regard by utilising noise data. For example, it can generate and inject noise service requests into real customer service requests so that service providers are not able to distinguish which ones are real ones. However, existing typical noise obfuscations do not consider the customer-defined privacy-leakage-tolerance in noise obfuscation processes. Specifically, cloud customers could define a boundary of privacy leakage possibility to require noise obfuscation on privacy protection in cloud computing. In other words, under this boundary-privacy- leakage-tolerance, noise obfuscation could be enhanced by the efficiency improvement on privacy protection, such as reducing noise service requests injected into real ones. So, the customer can obtain a lower cost on noise data in the pay-as-you-go fashion for cloud environments, with a reasonable effectiveness of privacy protection. Therefore, to address this privacy concern, a novel noise enhancing strategy can be presented. We firstly analyse the privacy-leakage-tolerance for cloud customers in terms of noise generation. Then, the creation of a noise generation set can be presented based on the privacy-leakage-tolerance, and the set can guide and enhance existing noise generation strategies by this boundary. Lastly, we present our novel privacy-leakage-tolerance based noise enhancing strategy for privacy protection in cloud computing. The simulation evaluation demonstrates that our strategy can significantly improve the efficiency of privacy protection on existing noise obfuscations in cloud environments.
sj-pdf-1-pul-10.1177_2045894020942121 - Supplemental material for Efficacy and safety of riociguat in combination therapy for patients with pulmonary arterial hypertension (PATENT studies)
Creators: name: Hossein-Ardeschir Ghofrani
name: Grünig, Ekkehard
name: Jansa, Pavel
name: Langleben, David
name: Rosenkranz, Stephan
name: Preston, Ioana R.
name: Rahaghi, Franck
name: Sood, Namita
name: Busse, Dennis
name: Meier, Christian
name: Humbert, Marc
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Cardiology
subject: 110203 Respiratory Diseases
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-pul-10.1177_2045894020942121 for Efficacy and safety of riociguat in combination therapy for patients with pulmonary arterial hypertension (PATENT studies) by Hossein-Ardeschir Ghofrani, Ekkehard Grünig, Pavel Jansa, David Langleben, Stephan Rosenkranz, Ioana R. Preston, Franck Rahaghi, Namita Sood, Dennis Busse, Christian Meier and Marc Humbert in Pulmonary Circulation
Supplemental Material, CONSORT_2010_Checklist - Self-Stigma Reduction Group for People With Depression: A Randomized Controlled Trial
Creators: name: Young, Daniel K. W.
name: Ng, Petrus Y. N.
name: Corrigan, Patrick
name: Chiu, Renee
name: Shuyan Yang
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 160512 Social Policy
subject: FOS: Political science

description: Supplemental Material, CONSORT_2010_Checklist for Self-Stigma Reduction Group for People With Depression: A Randomized Controlled Trial by Daniel K. W. Young, Petrus Y. N. Ng, Patrick Corrigan, Renee Chiu and Shuyan Yang in Research on Social Work Practice
Quality-aware service selection for service-based systems based on iterative multi-attribute combinatorial auction
Creators: name: He, Qiang
name: Yan, Jun
name: Jin, Hai
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: The service-oriented paradigm offers support for engineering service-based systems (SBSs) based on service composition where existing services are composed to create new services. The selection of services with the aim to fulfil the quality constraints becomes critical and challenging to the success of SBSs, especially when the quality constraints are stringent. However, none of the existing approaches for quality-aware service composition has sufficiently considered the following two critical issues to increase the success rate of finding a solution: 1) the complementarities between services; and 2) the competition among service providers. This paper proposes a novel approach called combinatorial auction for service selection (CASS) to support effective and efficient service selection for SBSs based on combinatorial auction. In CASS, service providers can bid for combinations of services and apply discounts or premiums to their offers for the multi-dimensional quality of the services. Based on received bids, CASS attempts to find a solution that achieves the SBS owner's optimisation goal while fulfilling all quality constraints for the SBS. When a solution cannot be found based on current bids, the auction iterates so that service providers can improve their bids to increase their chances of winning. This paper systematically describes the auction process and the supporting mechanisms. Experimental results show that by exploiting the complementarities between services and the competition among service providers, CASS significantly outperforms existing quality-aware service selection approaches in finding optimal solutions and guaranteeing system optimality. Meanwhile, the duration and coordination overhead of CASS are kept at satisfactory levels in scenarios on different scales.
Supplement_material – Supplemental material for Are Protective Factors Valid Constructs? Interrater Reliability And Construct Validity Of Proposed Protective Factors Against Sexual Reoffending
Creators: name: Willis, Gwenda M.
name: Kelley, Sharon M.
name: Thornton, David
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 160299 Criminology not elsewhere classified
subject: FOS: Law
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supplement_material for Are Protective Factors Valid Constructs? Interrater Reliability And Construct Validity Of Proposed Protective Factors Against Sexual Reoffending by Gwenda M. Willis, Sharon M. Kelley and David Thornton in Criminal Justice and Behavior
An algorithm for cost-effectively storing scientific datasets with multiple service providers in the cloud
Creators: name: Yuan, Dong
name: Liu, Xiao
name: Cui, Lizhen
name: Zhang, Tiantian
name: Li, Wenhao
name: Cao, Dahai
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: The proliferation of cloud computing allows scientists to deploy computation and data intensive applications without infrastructure investment, where large generated datasets can be flexibly stored with multiple cloud service providers. Due to the pay-as-you-go model, the total application cost largely depends on the usage of computation, storage and bandwidth resources, and cutting the cost of cloud-based data storage becomes a big concern for deploying scientific applications in the cloud. In this paper, we propose a novel algorithm that can automatically decide whether a generated dataset should be 1) stored in the current cloud, 2) deleted and re-generated whenever reused or 3) transferred to cheaper cloud service for storage. The algorithm finds the trade-off among computation, storage and bandwidth costs in the cloud, which are three key factors for the cost of storing generated application datasets with multiple cloud service providers. Simulations conducted with popular cloud service providers' pricing models show that the proposed algorithm is highly cost-effective to be utilised in the cloud.
DS_10.1177_0272989X18785159 – Supplemental material for Reducing “I Don’t Know” Responses and Missing Survey Data: Implications for Measurement
Creators: name: Denman, Deanna C.
name: Baldwin, Austin S.
name: Betts, Andrea C.
name: McQueen, Amy
name: Tiro, Jasmin A.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, DS_10.1177_0272989X18785159 for Reducing “I Don’t Know” Responses and Missing Survey Data: Implications for Measurement by Deanna C. Denman, Austin S. Baldwin, Andrea C. Betts, Amy McQueen and Jasmin A. Tiro in Medical Decision Making
A Decentralized Service Discovery Approach on Peer-to-Peer Networks
Creators: name: He, Qiang
name: Yan, Jun
name: Yang, Yun
name: Kowalczyk, Ryszard
name: Jin, Hai
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 460206
subject: Knowledge representation and reasoning
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified

description: Service-oriented computing (SOC) is emerging as a paradigm for developing distributed applications. A critical issue of utilizing SOC is to have a scalable, reliable and robust service discovery mechanism. However, traditional service discovery methods using centralized registries can easily suffer from problems such as performance bottleneck and vulnerability to failures in large scalable service networks, thus functioning abnormally. To address these problems, this paper proposes a peer-to-peer based decentralized service discovery approach named Chord4S. Chord4S utilizes the data distribution and lookup capabilities of the popular Chord to distribute and discover services in a decentralized manner. Data availability is further improved by distributing published descriptions of functionally equivalent services to different successor nodes that are organized into virtual segments in the Chord4S circle. Based on the service publication approach, Chord4S supports QoS-aware service discovery. Chord4S also supports service discovery with wildcard(s). In addition, the Chord routing protocol is extended to support efficient discovery of multiple services with a single query. This enables late negotiation of service level agreements between service consumers and multiple candidate service providers. The experimental evaluation shows that Chord4S achieves higher data availability and provides efficient query with reasonable overhead.
ECOLOGICAL ISSUES IN CITY STREETS: A THREAT TO URBAN SUSTAINABILITY
Creators: name: A.F.Rajapov1 Department of Road Management of the Ministry  of Transport of the Republic of Uzbekistan
Publisher: name: Zenodo
Year: 2024

description: City streets, while essential for urban life, pose significant ecological challenges. This article examines these issues through the lens of IMRAD (Introduction, Methods, Results, Analysis, Discussion). We explore how streets fragment habitats, exacerbate the urban heat island effect, pollute waterways, and disrupt natural water cycles. The consequences for human and ecological health are highlighted.
A market-oriented hierarchical scheduling strategy in cloud workflow systems
Creators: name: Wu, Zhangjun
name: Liu, Xiao
name: Ni, Zhiwei
name: Yuan, Dong
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: A cloud workflow system is a type of platform service which facilitates the automation of distributed applications based on the novel cloud infrastructure. One of the most important aspects which differentiate a cloud workflow system from its other counterparts is the market-oriented business model. This is a significant innovation which brings many challenges to conventional workflow scheduling strategies. To investigate such an issue, this paper proposes a market-oriented hierarchical scheduling strategy in cloud workflow systems. Specifically, the service-level scheduling deals with the Task-to-Service assignment where tasks of individual workflow instances are mapped to cloud services in the global cloud markets based on their functional and non-functional QoS requirements; the task-level scheduling deals with the optimisation of the Task-to-VM (virtual machine) assignment in local cloud data centres where the overall running cost of cloud workflow systems will be minimised given the satisfaction of QoS constraints for individual tasks. Based on our hierarchical scheduling strategy, a package based random scheduling algorithm is presented as the candidate service-level scheduling algorithm and three representative metaheuristic based scheduling algorithms including genetic algorithm (GA), ant colony optimisation (ACO), and particle swarm optimisation (PSO) are adapted, implemented and analysed as the candidate task-level scheduling algorithms. The hierarchical scheduling strategy is being implemented in our SwinDeW-C cloud workflow system and demonstrating satisfactory performance. Meanwhile, the experimental results show that the overall performance of ACO based scheduling algorithm is better than others on three basic measurements: the optimisation rate on makespan, the optimisation rate on cost and the CPU time.
A novel deadline assignment strategy for a large batch of parallel tasks with soft deadlines in the cloud
Creators: name: Liu, Xiao
name: Wang, Dingxian
name: Yuan, Dong
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: Deadline assignment is to assign each subtask composing a distributed task with a local deadline such that the global deadline can be met. Today's real-time systems often need to handle hundreds or even thousands of concurrent customer (or service) requests. Therefore, deadline assignment is becoming an increasingly challenging issue with a large number of parallel and distributed subtasks. However, most conventional strategies are designed to deal with a single independent task rather than a batch of many parallel tasks in a shared resource environment such as cloud computing. To address such an issue, in this paper, instead of assigning local deadline for each subtask, we propose a novel strategy which can efficiently assign local throughput constraints for a batch of parallel tasks at any time point along the system timeline. The basis of this strategy is a novel throughput consistency model which can measure the probability of on-time completion at any given time point. The experimental results demonstrate that our strategy can achieve significant time reduction in deadline assignment and achieve the most 'consistency' between global and local deadlines compared with other representative strategies.
A novel general framework for automatic and cost-effective handling of recoverable temporal violations in scientific workflow systems
Creators: name: Liu, Xiao
name: Ni, Zhiwei
name: Wu, Zhangjun
name: Yuan, Dong
name: Chen, Jinjun
name: Yang, Yun
Publisher: name: Swinburne
Year: 2024

description: Due to the complex nature of scientific workflow environments, temporal violations often take place and may severely reduce the timeliness of the execution's results. To handle temporal violations in an automatic and cost-effective fashion, two interdependent fundamental issues viz. the definition of fine-grained recoverable temporal violations and the design of light-weight effective exception handling strategies need to be resolved. However, most existing works study them separately without defining a comprehensive framework. To address such a problem, with the probability based temporal consistency model which defines the range of recoverable temporal violations, a novel general automatic and cost-effective exception handling framework is proposed in this paper where fine-grained temporal violations are defined based on the empirical function for the capability lower bounds of the exception handling strategies. To serve as a representative case study, a concrete example exception handling framework which consists of three levels of fine-grained temporal violations and their corresponding exception handling strategies is presented. The effectiveness of the example framework is evaluated by large scale simulation experiments conducted in the SwinDeW-G scientific grid workflow system. The experimental results demonstrate that the example framework can significantly reduce the overall average violation rates of local temporal constraints and global temporal constraints to 0.127% and 0.167% respectively.
O'QUVCHILARDA KITOB O'QISHGA QIZIQISHNI RIVOJLANTIRISHNING PEDAGOGIK-PSIXOLOGIK XUSUSIYATLARI
Creators: name: Shagulyamova, Durdona
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada o`quvchilarda kitob o`qishga qiziqishni rivojlantirishning pedagogik-psihologik xususiyatlari hamda kitob o`qishning bugungi kundagi ahamiyati haqida so`z boradi
On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems
Creators: name: Yuan, Dong
name: Yang, Yun
name: Liu, Xiao
name: Chen, Jinjun
Publisher: name: Swinburne
Year: 2024

description: Many scientific workflows are data intensive: large volumes of intermediate datasets are generated during their execution. Some valuable intermediate datasets need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science on clouds has become popular nowadays, more intermediate datasets in scientific cloud workflows can be stored by different storage strategies based on a pay-as-you-go model. In this paper, we build an intermediate data dependency graph (IDG) from the data provenances in scientific workflows. With the IDG, deleted intermediate datasets can be regenerated, and as such we develop a novel algorithm that can find a minimum cost storage strategy for the intermediate datasets in scientific cloud workflow systems. The strategy achieves the best trade-off of computation cost and storage cost by automatically storing the most appropriate intermediate datasets in the cloud storage. This strategy can be utilised on demand as a minimum cost benchmark for all other intermediate dataset storage strategies in the cloud. We utilise Amazon clouds' cost model and apply the algorithm to general random as well as specific astrophysics pulsar searching scientific workflows for evaluation. The results show that benchmarking effectively demonstrates the cost effectiveness over other representative storage strategies.
A data placement strategy in scientific cloud workflows
Creators: name: Yuan, Dong
name: Yang, Yun
name: Liu, Xiao
name: Chen, Jinjun
Publisher: name: Swinburne
Year: 2024

description: In scientific cloud workflows, large amounts of application data need to be stored in distributed data centres. To effectively store these data, a data manager must intelligently select data centres in which these data will reside. This is, however, not the case for data which must have a fixed location. When one task needs several datasets located in different data centres, the movement of large volumes of data becomes a challenge. In this paper, we propose a matrix based k-means clustering strategy for data placement in scientific cloud workflows. The strategy contains two algorithms that group the existing datasets in k data centres during the workflow build-time stage, and dynamically clusters newly generated datasets to the most appropriate data centres-based on dependencies-during the runtime stage. Simulations show that our algorithm can effectively reduce data movement during the workflow's execution.