cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: FSPlay. Familienskulptur mit Playmobilfiguren
title: Family Sculpture with Playmobil Pieces
titleType: AlternativeTitle
Creators: name: Sydow, K. V.
Publisher: name: ZPID (Leibniz Institute for Psychology) – Open Test Archive
Year: 2025
Subjects: subject: 150

description: Mit dem FSPlay werden innere "Arbeitsmodelle" (Schemata) von Bindungs-/Familien-/Partnerschafts-/Freundschaftsbeziehungen erhoben. Anhand mehrerer Spielfiguren sollen eine oder mehrere Skulpturen gestaltet werden, z. B. zu aktuellen Familiensituation, zur Vergangenheit und/oder Zukunft. Die Testkonstruktion orientierte sich u.a. an der Bindungstheorie und systemischen Familientheorie und anderen Figurenplatzierungsverfahren. Reliabilität: Die Interraterreliabilität basierend auf zwei unabhängigen Ratings von 30 Skulpturen wurde längsschnittlich berechnet (.70 < = Kappa < = 1.00). Validität: Die Augenscheinvalidität und der Aufforderungscharakter von FSPlay erwiesen sich als sehr hoch. Die konvergente Validität wurde nachgewiesen.
description: With the FSPlay, inner “working models” (schemata) of attachment/family/partnership/friendship relationships are collected. Using several play figures, one or more sculptures should be created, e.g. on the current family situation, the past and/or the future. The test construction was based on attachment theory, systemic family theory and other figure placement methods. Reliability: The interrater reliability based on two independent ratings of 30 sculptures was calculated longitudinally (.70 < = kappa < = 1.00). Validity: The face validity and the prompting character of FSPlay proved to be very high. Convergent validity was confirmed.
sj-pdf-1-mso-10.1177_20552173211038035 - Supplemental material for Do internet resources align with exercise training and physical activity guidelines for people with multiple sclerosis?
Creators: name: Sadeghi-Bahmani, Dena
name: Silveira, Stephanie L
name: Baird, Jessica F
name: Motl, Robert W
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material, sj-pdf-1-mso-10.1177_20552173211038035 for Do internet resources align with exercise training and physical activity guidelines for people with multiple sclerosis? by Dena Sadeghi-Bahmani, Stephanie L Silveira, Jessica F Baird and Robert W Motl in Multiple Sclerosis Journal – Experimental, Translational and Clinical
Additional file 1 of Consensus on the pharmacological treatment of acute stress disorder in Chinese pilots: a Delphi study
Creators: name: Gao, Xing
name: Wang, Zhenzhen
name: Guo, Li
name: Gu, Yanan
name: Song, Lei
name: Wu, Zhongying
name: Li, Fengzhan
name: Jin, Yinchuan
name: Yang, Qun
Publisher: name: figshare
Year: 2024
Subjects: Cell Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary file 1: ST1. Quantitative table of the basis for expert judgement
sj-pdf-1-tia-10.1177_23312165211025938 - Supplemental material for Effectiveness of Computer-Based Auditory Training for Adult Cochlear Implant Users: A Randomized Crossover Study
Creators: name: Reis, Mariana
name: McMahon, Catherine M.
name: Távora-Vieira, Dayse
name: Humburg, Peter
name: Boisvert, Isabelle
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-tia-10.1177_23312165211025938 for Effectiveness of Computer-Based Auditory Training for Adult Cochlear Implant Users: A Randomized Crossover Study by Mariana Reis, Catherine M. McMahon, Dayse Távora-Vieira, Peter Humburg and Isabelle Boisvert in Trends in Hearing
Changes to River Basin Planning Could Boost Disaster Resilience
Creators: name: Gilligan, Kayla
name: Garde, Kairavi
name: Cutts, Bethany
name: Shoenig, Andrew
name: Williams, Teshanee
name: Osia, Uchenna
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 330401
subject: Community planning
classificationCode: 410404
subject: Environmental management
classificationCode: 330405
subject: Public participation and community engagement

description: Our team revisited the 2010 Lumber River Basin Plan to understand its role in recovery efforts after Hurricanes Matthew (2016) and Florence (2018). While the plan emphasized pollution control and restoration, it largely ignored flood risk. Missed opportunities became visible after the hurricanes, which brought devastating floods and long-term impacts—especially for communities that depend on the river for economic and cultural livelihood. Our deeper review suggests that stronger partnerships with local governments, NGOs, and grassroots groups could have highlighted recovery needs earlier. Additionally, interviews in 2024 reveal strong regional interest in revising the now-overdue plan. Advocates see an opportunity for DEQ to build on its reorganization and Public Participation Plan by embracing a One Water Approach—managing all water as a connected system. Clear communication and community-driven engagement are essential.
HBM4EU Harmonized Codebook Children - Aligned studies
Creators: name: Govarts, Eva
name: Rodriguez Martin, Laura
name: Gilles, Liese
name: Remy, Sylvie
Publisher: name: Zenodo
Year: 2022
Subjects: codebook
aligned studies

description: HBM4EU Aligned studies harmonized codebooks. 3 codebooks are available, 1 for the HBM4EU aligned studies in children (6-11 years), 1 for the HBM4EU aligned studies in teenagers (12-19 years) and 1 for HBM4EU aligned studies in adults (20-39 years). More information about the HBM4EU aligned studies in Gilles et al 2021 (DOI: 10.1016/j.ijheh.2021.113809) and Gilles et al 2022 (Harmonization of Human Biomonitoring Studies in Europe: Characteristics of the HBM4EU-Aligned Studies Participants). The codebook includes a description of the variables and the coding format. Please note that the HBM4EU aligned studies have gone through a post-harmonization process.
description: This document has been created within the HBM4EU project. HBM4EU has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 733032.
title: The Technicity of Platform Governance: Structure and Evolution of Facebook’s APIs
Creators: name: Van Der Vlist, Fernando N.
name: Helmond, Anne
name: Burkhardt, Marcus
name: Seitz, Tatjana
Publisher: name: Universität Siegen: SFB 1187 Medien der Kooperation
Year: 2021
Subjects: subject: Platform
subject: API
subject: Facebook
subject: Datafication
subject: Platformisation
subject: 300

description: Researchers, policymakers, and competition and regulation authorities worldwide recognise application programming interfaces (APIs) for powering the digital economy and driving processes of datafication and platformisation. However, it is unclear how APIs tie into the power of, and governance by, large digital platforms. This article traces the relationality between Facebook’s APIs, platform governance, and data strategy based on an empirical and evolutionary analysis. It examines a large corpus of (archived) developer pages and API reference documentation to determine the technicity of platform governance – the technical dimension and dynamics of how and what platforms like Facebook seek to govern. It traces how Facebook Platform evolved into a complex layered and interconnected governance arrangement, wherein technical API specifications serve to enforce (changes to) platform policy and (data) strategy. Finally, the article discusses the significance of this technicity in specifying the material conditions for app and business development ‘on top of’ platforms and for maintaining infrastructural and evolutive power over their ecosystems.
sj-docx-1-uar-10.1177_10780874211042544 - Supplemental material for Long Live Marketization for Local Public Spaces: A Study of Scandinavian Managers’ Satisfaction with Private Provider Performance
Creators: name: Lindholst, Andrej Christian
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplemental material, sj-docx-1-uar-10.1177_10780874211042544 for Long Live Marketization for Local Public Spaces: A Study of Scandinavian Managers’ Satisfaction with Private Provider Performance by Andrej Christian Lindholst in Urban Affairs Review
Probing Nonequilibrium Dynamics in Two Dimensional Quantum Gases
Creators: name: Chen, Cheng-An
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Atomic and molecular physics
Degenerate quantum gases and atom optics
Quantum physics not elsewhere classified

description: Probing nonequilibrium dynamics in a trapped, inhomogeneous atomic quantum gas can be a challenging task because coexisting mass transport and spreading of quantum correlations often make the problem intractable. By removing density inhomogeneity in an atomic quantum gas and employing local control of chemical potential as well as interaction parameters, it is possible to perform quasi-particle control, initiate and probe collective quantum dynamics without or with a controlled mass flow. We report our experimental results toward quasi-particle control and nonequilibrium dynamics in a homogeneous two-dimensional quantum gas.
sj-docx-1-ict-10.1177_15347354211045349 – Supplemental material for Inhibition of Glutamine Uptake Improves the Efficacy of Cetuximab on Gastric Cancer
Creators: name: Ma, Huanrong
name: Wu, Jingjing
name: Zhou, Minyu
name: Wu, Jianhua
name: Wu, Zhenzhen
name: Lin, Li
name: Huang, Na
name: Liao, Wangjun
name: Sun, Li
Publisher: name: SAGE Journals
Year: 2021
Subjects: Health and Community Services
Endocrinology
Oncology and Carcinogenesis not elsewhere classified
Aged Health Care

description: Supplemental material, sj-docx-1-ict-10.1177_15347354211045349 for Inhibition of Glutamine Uptake Improves the Efficacy of Cetuximab on Gastric Cancer by Huanrong Ma, Jingjing Wu, Minyu Zhou, Jianhua Wu, Zhenzhen Wu, Li Lin, Na Huang, Wangjun Liao and Li Sun in Integrative Cancer Therapies
Additional file 2 of Consensus on the pharmacological treatment of acute stress disorder in Chinese pilots: a Delphi study
Creators: name: Gao, Xing
name: Wang, Zhenzhen
name: Guo, Li
name: Gu, Yanan
name: Song, Lei
name: Wu, Zhongying
name: Li, Fengzhan
name: Jin, Yinchuan
name: Yang, Qun
Publisher: name: figshare
Year: 2024
Subjects: Cell Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary file 2: ST2. Expert familiarity self-assessment form
sj-pdf-4-jtp-10.1177_09516298211043234 - Supplemental material for On the separation of executive and legislative powers: Executive independence, liberty, and social welfare
Creators: name: Fox, Justin
name: Polborn, Mattias
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, sj-pdf-4-jtp-10.1177_09516298211043234 for On the separation of executive and legislative powers: Executive independence, liberty, and social welfare by Justin Fox and Mattias Polborn in Journal of Theoretical Politics
sj-pdf-4-hpq-10.1177_13591053211049944 – for Depressed mood trajectories in the first year postpartum among Taiwanese mothers: Associations with perceived support, financial stress, and marital satisfaction
Creators: name: Nieh, Hsi-Ping
name: Chou, Li-Tuan
name: Chang, Chien-Ju
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: sj-pdf-4-hpq-10.1177_13591053211049944 for Depressed mood trajectories in the first year postpartum among Taiwanese mothers: Associations with perceived support, financial stress, and marital satisfaction by Hsi-Ping Nieh, Li-Tuan Chou and Chien-Ju Chang in Journal of Health Psychology
sj-docx-5-hpq-10.1177_13591053211049941 – for Grandparent-child cohesion, friendship quality, and left-behind children’s positive/negative affect in rural China
Creators: name: Zhao, Jingxin
name: Ge, Jing
name: Li, Qianyu
Publisher: name: SAGE Journals
Year: 2021
Subjects: Psychology not elsewhere classified
Psychiatry (incl. Psychotherapy)
Public Health and Health Services not elsewhere classified

description: sj-docx-5-hpq-10.1177_13591053211049941 for Grandparent-child cohesion, friendship quality, and left-behind children’s positive/negative affect in rural China by Jingxin Zhao, Jing Ge and Qianyu Li in Journal of Health Psychology
Urbanization and initial groundwater quality investigation in Malabe, Sri Lanka
Creators: name: Anjula Rajapakshe
name: Upaka Rathnayake
Publisher: name: Faculty of Engineering, Khon Kaen University
Year: 2018
Subjects: Groundwater quality
Low pH
Principal component analysis
Malabe
Sri Lanka

description: Engineering and Applied Science Research, 45, 2, 74-82
Additional file 4 of Consensus on the pharmacological treatment of acute stress disorder in Chinese pilots: a Delphi study
Creators: name: Gao, Xing
name: Wang, Zhenzhen
name: Guo, Li
name: Gu, Yanan
name: Song, Lei
name: Wu, Zhongying
name: Li, Fengzhan
name: Jin, Yinchuan
name: Yang, Qun
Publisher: name: figshare
Year: 2024
Subjects: Cell Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary file 4: ST4. Round1: Partial results of expert voting; ST5. Round2: Partial results of expert voting
sj-docx-1-trr-10.1177_03611981211036346 – Supplemental material for Trends in Competition among Digital Platforms for Shared Mobility: Insights from a Worldwide Census and Prospects for Research
Creators: name: Boutueil, Virginie
name: Nemett, Luc
name: Quillerier, Thomas
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplemental material, sj-docx-1-trr-10.1177_03611981211036346 for Trends in Competition among Digital Platforms for Shared Mobility: Insights from a Worldwide Census and Prospects for Research by Virginie Boutueil, Luc Nemett and Thomas Quillerier in Transportation Research Record
Pilotstudie-Normdaten Für Alltagsbewegungen. Vergleich Zwischen Der Kinematik Von Normprobanden Und Prothesenträger Unter Einbeziehung Verschiedener Prothesensysteme
Creators: name: Pobatschnig, Barbara
name: Kranzl, Andreas
Publisher: name: Zenodo
Year: 2016

description: Quantitative Daten sind heutzutage für medizinisches Personal unabdingbar um teure Verordnungen vor dem Kostenträger rechtfertigen zu können. Deshalb wurden Normdaten erstellt, die einen Vergleich mit Prothesenträgern zulassen und so die Funktionalität der Prothesenmodelle anhand quantitativer Daten veranschaulichen.
Additional file 1 of Development of a rare disease algorithm to identify persons at risk of Gaucher disease using electronic health records in the United States
Creators: name: Wilson, Amanda
name: Chiorean, Alexandra
name: Aguiar, Mario
name: Sekulic, Davorka
name: Pavlick, Patrick
name: Shah, Neha
name: Sniderman King, Lisa
name: Génin, Marie
name: Rollot, Mélissa
name: Blanchon, Margot
name: Gosset, Simon
name: Montmerle, Martin
name: Molony, Cliona
name: Dumitriu, Alexandra
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer
Hematology
Computational Biology

description: Additional file 1: Supplemental Material.
Comparison of global implementations of AUTOSAR
Creators: name: Stallard, Jason H
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Software engineering not elsewhere classified
Other engineering not elsewhere classified
Automotive engineering not elsewhere classified

description: Since the incorporation of electronic controls into automobiles in the 1970s, the complexity of automotive software has steadily increased. Recent cars and trucks have more electronics and lines of code than modern aircraft. This complexity has made the commoditization of the software exceptionally challenging. The AUTomotive Open System ARchitecture (AUTOSAR) standard was created to enable original equipment manufacturers (OEMs), Tier 1 and Tier 2 Suppliers, Vendors, and other players in automotive software to freely buy, sell, and integrate software components for automotive applications. AUTOSAR does this through a standardized set of software interfaces and a methodology for enabling software exchange, allowing software tools to interoperate. This study explored how AUTOSAR practitioners go about the business of conducting the methodology and its perceived benefits and problems. A global survey of AUTOSAR practitioners was conducted to collect company and respondent demographic information and details concerning specific practices. The survey results indicated practitioners believe AUTOSAR was good at abstracting hardware from the software and between the software components. Respondents also indicated that the AUTOSAR methodology was complicated and not sufficiently prescriptive, leading to inconsistent interpretation and application. Based on the survey results, it was concluded that more work is needed to provide more decisive clarity and direction for AUTOSAR practitioners.
sj-docx-1-ltr-10.1177_13621688211046740 – Supplemental material for Comparing the characteristics of EFL students’ multimodal composing and traditional monomodal writing: The case of a reading-to-write task
Creators: name: Cho, Hyejin
name: Kim, YouJin
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Education
subject: 200399 Language Studies not elsewhere classified
subject: FOS: Languages and literature

description: Supplemental material, sj-docx-1-ltr-10.1177_13621688211046740 for Comparing the characteristics of EFL students’ multimodal composing and traditional monomodal writing: The case of a reading-to-write task by Hyejin Cho and YouJin Kim in Language Teaching Research
Additional file 2 of Natural diversity of lactococci in γ-aminobutyric acid (GABA) production and genetic and phenotypic determinants
Creators: name: Laroute, Valérie
name: Aubry, Nathalie
name: Audonnet, Marjorie
name: Mercier-Bonin, Muriel
name: Daveran-Mingot, Marie-Line
name: Cocaign-Bousquet, Muriel
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2: Figure S1. Strain differentiation based on the presence of a 39 bp deletion visualized by 3% agarose gel electrophoresis of PCR amplified products *. Lanes: 1, marker size 1 kb, 2, L. cremoris CIRM86, 3, L. cremoris CIRM1563, 4, L. cremoris S72, 5, L. cremoris S73, 6, L. cremoris S74, 7, L. cremoris S75, 8, L. cremoris S76, 9, distilled water, 10, L. cremoris S78, 11, L. cremoris S79, 12, L. cremoris S80, 13, L. cremoris S81, 14, L. cremoris S82, 15, L. cremoris S91, 16, L. cremoris S102, 17, L. cremoris S103, 18, L. cremoris S183, 19, L. cremoris S186, 20, L. lactis IL1403, 21, L. cremoris MG1363, 22, L. lactis NCDO2118, 23, reagent control with DNA, 24, marker size 100 bp.
Numerical Study of Arc Exposure about Water-Panel Overheating in an Electric Arc Furnace
Creators: name: Luo, Qingxuan
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Mechanical engineering not elsewhere classified

description: Electric arc furnace (EAF) is a furnace that utilizes electric energy and chemical energy to melt scraps and produce liquid steel. During the industrial process of EAF, an electric arc will be generated around the electrode located at the center of the furnace, and this phenomenon will generate a lot of heat. If any part of the electric arc is exposed to the freeboard region, a region above the slag layer inside the furnace, the heat emitted by this exposed arc can significantly heat on side wall temperatures, resulting in an overheating issue of side wall. Water-cooling panels (WCP) have been used to cool down the side wall, but the concentrated overheating area, may damage the water-cooling panel. In this study, a combination of slag foaming phenomenon and electric arc has been considered. A calculator is developed based on several arc models to calculate the parameters about slag foaming and arc power. The parameters can be used as input in a computational fluid dynamics (CFD) model. The commercial software, ANSYS FLUENT®, was utilized to give a prediction of the side wall temperature distribution of an EAF. Data from the plant has been used to validate the calculation results. Furthermore, a series of parametric studies has been investigated to study the influence of operating conditions. The developed model can help to predict the risk of overheating from given electrode conditions and slag compositions.
Emmanuel De Croÿ (1718-1784), Mémoires De Ma Vie, Édition Critique Des Carnets 32 À 34 (Juillet 1747 - Mai 1748) - Mémoire De Maîtrise
Creators: name: Benoist, David
Publisher: name: Zenodo
Year: 1997
Subjects: france, histoire moderne, 18e siècle

description: Mémoire de maîtrise sous la direction du recteur Yves Durand.

Edition critique des carnets 32 à 34 des Mémoires de ma vie d'Emmanuel de Croÿ (1718-1784), maréchal de France.
BEARING FAULT DIAGNOSIS USING DEEP LEARNING NEURAL NETWORKS WITH INPUT PROCESSING
Creators: name: Cai, Yuanyang
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Electrical engineering not elsewhere classified

description: The roller bearings are widely used in aviation cargo systems, engines, agriculture, heavy equipment and machinery, solar panels, medical equipment, automobile industry, powerhouses, and many others. Bearing faults during the operation process will result in downtime, economic loss, and even human injury. To prevent these from happening, rolling bearing fault diagnosis has become a mature discipline. Deep learning networks have been known as effective methods for bearing fault diagnoses. Deep learning neural networks such as the convolutional neural network (CNN) use the images as inputs. In contrast, the others, such as long-short term memory (LSTM), may apply data sequences as inputs.
This thesis research work focuses on performance evaluations of deep learning networks according to the classification accuracy by utilizing various signal transforms to form the network inputs. CNN and LSTM are adopted as our deep learning network structures. Besides raw data, the algorithms for processing input signals include short-time Fourier transform (STFT), Cepstrum, wavelet packet transform (WPT), and empirical mode decomposition (EMD). In addition, this paper also applies three commonly used machine learning algorithms for comparison, namely K nearest neighbor (KNN), support vector machine (SVM), and random forest (RF). Finally, a one-dimensional CNN structure is designed and implemented.
Our simulations validate the effectiveness for each network input formulation based on the Case Western Reserve University (CWRU) bearing dataset.
Additional file 1 of Comparison of vonoprazan dual therapy, quadruple therapy and standard quadruple therapy for Helicobacter pylori infection in Hainan: a single-center, open-label, non-inferiority, randomized controlled trial
Creators: name: Chen, Chen
name: Zhang, Daya
name: Huang, Shimei
name: Zeng, Fan
name: Li, Da
name: Zhang, Xiaodong
name: Chen, Runxiang
name: Chen, Shiju
name: Wang, Jun
name: Bai, Feihu
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Pharmacology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Supplementary Material 1.
AN ITERATIVE PROCEDURE WITH IMPROVED INITIAL GUESS TO EVALUATE THE SEVEN PARAMETERS OF THE TWO DIODE MODEL FOR A PHOTOVOLTAIC MODULE
Creators: name: Liu, Ziyue
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Electrical engineering not elsewhere classified
Digital processor architectures
Other information and computing sciences not elsewhere classified

description: Climate change and global warming indicate that reducing the use of traditional fossil energy and developing new renewable energy should be an essential matter. Solar energy has emerged as one of the renewable energy sources for electricity generation since the late 20th century. One way to utilize solar energy is to collect and convert it into electricity by solar photovoltaic devices through the photovoltaic effect. Due to the high cost of photovoltaic modules, it is essential to optimize the performance of photovoltaic modules by using accurate equivalent circuit models. Among the available equivalent circuit models, the single diode model is relatively simple and computationally efficient but would be inaccurate if the recombination loss were substantial. The double diode model includes more parameters to represent the recombination loss, so the accuracy improves, but at the cost of adding more parameters to the model. The primary challenge of applying the double diode model is obtaining the optimum value for the seven model parameters with a reasonable computational effort. The current study investigates the effect of each term in the double diode model. It then proposes a method to obtain an initial estimate for each of the seven model parameters from data provided by the manufacturer. Using these initial estimated parameters as inputs, the Newton-Raphson method is applied to improve parameter estimates and prediction accuracy. The performance of two PV modules from different manufacturers is then modeled using the initial parameter estimates and the Newton-Raphson updated parameters. Both are compared to the manufacturers’ data.
PERFORMANCE EVALUATION OF UNIVARIATE TIME SERIES AND DEEP LEARNING MODELS FOR FOREIGN EXCHANGE MARKET FORECASTING: INTEGRATION WITH UNCERTAINTY MODELING
Creators: name: Waheed, Wajahat
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Electrical engineering not elsewhere classified

description: Foreign exchange market is the largest financial market in the world and thus prediction of foreign exchange rate values is of interest to millions of people. In this research, I evaluated the performance of Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Autoregressive Integrated Moving Average (ARIMA) and Moving Average (MA) on the USD/CAD and USD/AUD exchange pairs for 1-day, 1-week and 2-weeks predictions. For LSTM and GRU, twelve macroeconomic indicators along with past exchange rate values were used as features using data from January 2001 to December 2019. Predictions from each model were then integrated with uncertainty modeling to find out the chance of a model’s prediction being greater than or less than a user-defined target value using the error distribution from the test dataset, Monte-Carlo simulation trials and ChancCalc excel add-in. Results showed that ARIMA performs slightly better than LSTM and GRU for 1-day predictions for both USD/CAD and USD/AUD exchange pairs. However, when the period is increased to 1-week and 2-weeks, LSTM and GRU outperform both ARIMA and moving average for both USD/CAD and USD/AUD exchange pair.
NUMERICAL INVESTIGATION OF AIR-MIST SPRAY COOLING AND SOLIDIFICATION IN SECONDARY ZONE DURING CONTINUOUS CASTING
Creators: name: Anisiuba, Vitalis Ebuka
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Mechanical engineering not elsewhere classified

description: As a result of the intense air-water interaction in the spray nozzle, air-mist spray is one of the most promising technologies for attaining high heat transfer. CFD simulations and multivariable linear regression were used in the first part of this study to analyze the air-mist spray produced by a flat-fan atomizer and to predict the heat transfer coefficient using the casting operating conditions such as air pressure, water flow rate, cast speed and standoff distance. For the air-mist spray cooling simulation, a four-step simulation method was utilized to capture the turbulent flow and mixing of the two fluids in the nozzle, as well as the generation, transport, and heat transfer of droplets. Analysis of the casting parameters showed that an increase in air pressure results in efficient atomization, increases the kinetic energy of the droplets and produces smaller droplet size thus, the cooling of the slab increases significantly. Also, a decrease in water flow rate, standoff distance and casting speed would result in more efficient cooling of the steel slab. The second part of the study investigated the solidification of steel in the secondary cooling region. Caster geometry and casting parameters were studied to evaluate their impact on the solidification of steel. The parameters studied include roll gap, roll diameter, casting speed and superheat. It was found that a smaller ratio of roll gap to roll diameter is more efficient for adequate solidification of steel without any defect. Casting speed was found to have a significant effect on the solidification of steel while superheat was found to be insignificant in the secondary zone solidification. The result from the air-mist spray cooling was integrated into the solidification model to investigate the solidification of steel in the entire caster and predict the surface temperature, shell growth and metallurgical length. To replicate real casting process, temperature dependent material properties of the steel were evaluated using a thermodynamic software, JMatPro. The air-mist spray model was majorly investigated using ANSYS Fluent 2020R1 CFD tool while the solidification of steel was studied using STARCCM+ CFD software. Using the findings from this study, continuous casting processes and optimization can be improved.
title: From Instruments to Containers, from Containers to Media. The Extensions of the Body
Creators: name: Schüttpelz, Erhard
Publisher: name: Universität Siegen: SFB 1187 Medien der Kooperation
Year: 2021
Subjects: subject: Extension
subject: Media
subject: Container
subject: Media Theory
subject: 300

description: There is a long tradition of conceptualising the ‘extensions of man’ or the ‘extensions of the body’ as devices enabling the emergence of technical instruments and/or of media, a tradition renewed by recent discussions in German media studies (Siegert, Harrasser, Kassung). But most of the earlier protagonists of this tradition focussed exclusively on the extensions of human extremities and the brain (McLuhan, Leroi-Gourhan, Kapp). Only a minor tradition mentioned ‘containers’ as technical and figurative externalisations of the rump and of whole bodies (Mumford). Especially the British archeologist Clive Gamble has recently pointed to a long ‘drift’ from instruments to containers, and to the ambiguities of technical and figurative containers. Gamble’s renewal of Mumford’s intuition gives media theory a unique chance to develop a new prehistory of today’s media and computer interfaces: acknowleding the long-term impact of gender divisions of labour; completing the incomplete matrix of Leroi-Gourhan’s technical extensions by pondering the distributed cognition of traps and work-places; elucidating the spatial intelligence of useful, ritual and aesthetic skills; explicating the cooperative spatial action enabled by media such as maps and cosmograms, Amerindian bundles, Sub-Saharan masks and Siberian drums and many others yet to be explored in the long drift from instruments to containers to media.
Possibilities and Limitations of Analytics for Efficiencies in Project Management
Creators: name: Iqbal, Sarosh
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Other information and computing sciences not elsewhere classified

description: This study aimed to identify if data and analytics are, or can be, meaningfully and extensively used for improving efficiencies in project management. The research problem was addressed using a survey, involving capture, collection, analysis and interpretation of qualitative (and some quantitative) data obtained from industry practitioners of project management.
The study was completed in two important parts. First was the laying of groundwork which involved questionnaire planning and design to ensure coverage, completeness, relevance, usefulness, and logical (and where pertinent, statistical) validity of the answers for performing analysis and drawing inferences. The second part was the actual analysis of the survey results, and compilation of the research details into this written report with a conclusion (my M.S. thesis).
The survey was mainly in the form of multiple-choice questions, along with two free form text boxes to glean additional insights from comments and notes that structured questions with fixed choices for answers could not have easily elicited.
Jamming Detection and Classification via Conventional Machine Learning and Deep Learning with Applications to UAVs
Creators: name: Li, Yuchen
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Digital processor architectures
Other information and computing sciences not elsewhere classified
Wireless communication systems and technologies (incl. microwave and millimetrewave)

description: With the constant advancement of modern radio technology, the safety of radio communication has become a growing concern for us. Communication has become an essential component, particularly in the application of modern technology such as unmanned aerial vehicle (UAV). As a result, it is critical to ensure that a drone can fly safely and reliably while completing duties. Simultaneously, machine learning (ML) is rapidly developing in the twenty-first century. For example, ML is currently being used in social media and digital marking for predicting and addressing users' varies interests. This also serves as the impetus for this thesis. The goal of this thesis is to combine ML and radio communication to identify and classify UAV interference with high accuracy.In this work, a ML approach is explored for detecting and classifying jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers, with applicability to UAVs. Four types of jamming attacks, including barrage, protocol-aware, single-tone, and successive-pulse jamming, are launched and analyzed using software-defined radio (SDR). The jamming range, launch complexity, and attack severity are all considered qualitatively when evaluating each type. Then, a systematic testing procedure is established, where a SDR is placed in the vicinity of a drone to extract radiometric features before and after a jamming attack is launched. Traditional ML methods are used to create classification models with numerical features such as signal-to-noise ratio (SNR), energy threshold, and important OFDM parameters. Furthermore, deep learning method (i.e., convolutional neural networks) are used to develop classification models trained with spectrogram images filling in it. Quantitative indicators such as detection and false alarm rates are used to evaluate the performance of both methods. The spectrogram-based model correctly classifies jamming with a precision of 99.79% and a false-alarm rate of 0.03%, compared to 92.20% and 1.35% for the feature-based counterpart.
Dimensions of Effective STEM Integrated Teaching Practice
Creators: name: Wachira Srikoom
name: Chatree Faikhamta
name: Hanuscin, Deborah L.
Publisher: name: The Institute for the Promotion of Teaching Science and Technology (IPST), Ministry of Education
Year: 2018
Subjects: Dimensions of Practice
Pedagogical Content Knowledge (PCK)
Professional Development
STEM Education

description: K-12 STEM Education, 4, 2 (April-June), 313-330
Additional file 1 of Disentangling the Roles of Plant Water Status and Stem Carbohydrate Remobilization on Rice Harvest Index Under Drought
Creators: name: Dwivedi, Sharad K.
name: Kumar, Santosh
name: Natividad, Mignon A.
name: Quintana, Marinell R.
name: Chinnusamy, Viswanathan
name: Henry, Amelia
Publisher: name: figshare
Year: 2024
Subjects: subject: Plant Biology
subject: FOS: Biological sciences

description: Additional file 1. Table S1. Climatic conditions across each season of study. Table S2. Differences in agronomic traits between genotypes in each pair selected for this study. Table S3. Variance explained by each principal component (PC) from the principal component analysis from Patna and IRRI. Table S4. Mean seasonal canopy temperature differences (IRRI drought stress experiments) grouped by pairs of genotypes with differing HI under drought but similar biomass and time to flowering. Table S5. Mean seasonal NDVI differences (IRRI drought stress experiments) grouped by pairs of genotypes with differing HI under drought but similar biomass and time to flowering. Fig. S1. Genotype Pair 4 did not exhibit the expected HI differences across trials for which the genotypes were selected. Fig. S2. Straw biomass across experiments under drought stress (S) and well-watered (WW) conditions at A) Patna and B) IRRI. Fig. S3. ME ((Stem mass anthesis -Stem mass maturity)/Stem mass anthesis ×100) across experiments at IRRI at ICAR-Patna under A) drought stress and B) well-watered conditions. Fig. S4. Stem soluble sugar content throughout the season in drought (A-B) and well-watered (C-D) experiments at IRRI. Fig. S5. Stem starch content throughout the season in drought (A-B) and well-watered (C-D) experiments at IRRI. Fig. S6. Stem soluble sugar content across IRRI experiments at A) anthesis and B) maturity. Fig. S7. Stem starch content across IRRI experiments at A) anthesis and B) maturity. Fig S8. Canopy temperature across IRRI drought experiments, grouped by pairs with differing HI under drought but similar biomass and time to flowering. Fig S9. NDVI across IRRI drought experiments, grouped by pairs with differing HI under drought but similar biomass and time to flowering. Fig. S10. Photosynthesis rates at anthesis across experiments under drought stress (S) and well-watered (WW) conditions at A) Patna and B) IRRI. Fig. S11. Stomatal conductance at anthesis across experiments under drought stress (S) and well-watered (WW) conditions at A) Patna and B) IRRI. Fig. S12. Relationships between plant water status (as indicated by stomatal conductance and canopy temperature) and stem carbohydrate remobilization (as indicated by stem soluble sugar content and mobilization efficiency (ME)) across IRRI experiments. Fig. S13. Relationships between plant water status (as indicated by stomatal conductance) and stem carbohydrate remobilization (as indicated by mobilization efficiency (ME)).
Frameworks to Develop Integrated STEM Curricula
Creators: name: Walker, William S.
name: Moorel, Tamara J.
name: S. Selcen Guzey
name: Sorge, Brandon H.
Publisher: name: The Institute for the Promotion of Teaching Science and Technology (IPST), Ministry of Education
Year: 2018
Subjects: STEM education
integrated STEM
curriculum development

description: K-12 STEM Education, 4, 2 (April-June), 331-339
sj-docx-1-smo-10.1177_20503121211047063 – Supplemental material for Knowledge of cervical cancer screening and associated factors among women attending maternal health services at Aira Hospital, West Wollega, Ethiopia
Creators: name: Aredo, Megersa Argaw
name: Sendo, Endalew Gemechu
name: Deressa, Jembere Tesfaye
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-docx-1-smo-10.1177_20503121211047063 for Knowledge of cervical cancer screening and associated factors among women attending maternal health services at Aira Hospital, West Wollega, Ethiopia by Megersa Argaw Aredo, Endalew Gemechu Sendo and Jembere Tesfaye Deressa in SAGE Open Medicine
HRD Professionals' Experience Utilizing Data Analytics in the Training Evaluation Process
Creators: name: Randolph, Anthony E
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Human resources management

description: In the past, Human Research Development (HRD) professionals have faced barriers of gaining access to the data they need to conduct higher level evaluations. However, recent technological innovations have presented opportunities for them to obtain this data, and consequently, apply new approaches for the training evaluation process. One approach being used is the application of data analytics. Because organizations have begun to embrace its use, recent research activities in the literature have focused on the promotion of analytics versus the practical application of analytics in the organization. This study investigated how HRD professionals utilize data analytics in the training evaluation process. It contributes to the body of research on the practical application of analytics in determining training effectiveness. The Unified Theory of Acceptance and Use of Technology (UTAUT) and Sociomateriality served as the theoretical framework for understanding how HRD professionals use data analytics in the training evaluation process. To address the research objective, a qualitative descriptive design was employed to investigate the phenomenon of lived experience, how HRD professionals use data analytics in the training evaluation process. Data were collected through semi-structured interviews with six (6) participants who were front and center in the organization’s transition to the analytics tool, Metrics That Matter (MTM), for evaluating training initiatives. The thematic analysis approach was applied. The study findings suggest three factors that influenced HR professionals to use human resource analytics, while revealing four ways they used those analytics in the training evaluation process. More importantly, findings from this study will provide training departments and HRD professionals recommendations for expanded job role and/or function descriptions, as well as best practices for incorporating data analytics in the training evaluation process.
Interdisciplinary M-Biotech-STEM (MBS) Module for Teaching Biotechnology in Malaysia
Creators: name: Ruhizan Mohammad Yasin
name: Amin, Latifah
name: Hin, Kok Kean
Publisher: name: The Institute for the Promotion of Teaching Science and Technology (IPST), Ministry of Education
Year: 2018
Subjects: biotechnology
interdisciplinary
21st century skills

description: K-12 STEM Education, 4, 2 (April-June), 341-362
Additional file 10 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 10. Identification of schaftoside (Cas 51938-32-0, C26H28O14, M.W. 564.5)
Phytosanitary Measures for the Importation of Hybrid Rice Seeds Case study : from Republic of the Philippines
Creators: name: Natthaporn Uthaimongkol
name: Wasana Ridthaisong
name: Wareerat Sompratum
name: Nuttima Kositcharoengkul
Publisher: name: Department of Agriculture
Year: 2559
Subjects: phytosanitary measures, hybrid rice seeds, rice seeds, Republic of the Philippines, มาตรการสุขอนามัยพืช, เมล็ดพันธุ์ข้าวลูกผสม, สาธารณรัฐฟิลิปปินส์

description: THAI AGRICULTURAL RESEARCH JOURNAL, 34, 3
Effect of using Azolla (Azolla microphylla) in Combination with Nitrogen Fertilizer on Growth and Nutrient Content in Leaf of Oil Palm.
Creators: name: Montree Pantu
name: Sirilak Kaewsuralikhit
name: Sarattana Sanoh
name: Krirkchai Dhanaraks
name: Praphan Prasertsak
name: Chitrlada Thongsodsaeng
name: Chayana Duangwichian
name: Kanyarat Champathong
Publisher: name: Department of Agriculture
Year: 2016
Subjects: chemical fertilizer, azolla, Azolla microphylla, oil palm, ปุ๋ยเคมี, แหนแดง, ปาล์มน้ำมัน

description: THAI AGRICULTURAL RESEARCH JOURNAL, 34, 3, 286
Study on the Quality of Tea oil seed (Camellia oleifera) and Tea Oil
Creators: name: Supreeya Sukhasem
name: Wilaisri Limphapayom
Publisher: name: Department of Agriculture
Year: 2559
Subjects: Camellia oleifera, tea oil seed, tea oil quality, เมล็ดชาน้ำมัน, คุณภาพน้ำมันเมล็ดชา

description: THAI AGRICULTURAL RESEARCH JOURNAL, 34, 3
Verifif ication the Identity of Garlic from Different Growing Area
Creators: name: Jirapa Austin
name: Phanphaka Rattanakosol
name: Jantana Chokpachuen
name: Ratchanee Siriyan
name: Suchirat Sakuanrungsirikul
name: Saowanee Ketsakul
name: Auttapon Rukkaphan
name: Tawatchai Nimkingrat
Publisher: name: Department of Agriculture
Year: 2559
Subjects: morphological characteristics, chemical compounds, DNA fingerprint, ลักษณะทางสัณฐานวิทยา, องค์ประกอบทางเคมี, ลายพิมพ์ DNA , กระเทียม

description: THAI AGRICULTURAL RESEARCH JOURNAL, 34, 3
MappingChange: A Temporal and Semantic Knowledge Base of the Scottish Gazetteers (1803–1901)
Creators: name: Yu, Lilin
name: Filgueira, Rosa
Publisher: name: Zenodo
Year: 2025

description: MappingChange is a reproducible resource that builds a temporal and semantic knowledge base from ten editions of the Gazetteers of Scotland (1803–1901), digitized by the National Library of Scotland. It includes structured DataFrames, three interlinked RDF knowledge graphs, enrichment scripts, and interactive Jupyter notebooks to support historical and spatial analysis of place-based descriptions.

The pipeline extracts over 50,000 entries using GPT-4, enriches them via named entity recognition (NER), semantic clustering, and georesolution, and models the results using the tage Textual Ontology (HTO) The resulting knowledge base comprises:

Article-level place descriptions and metadata,

Cross-edition conceptual alignments using sentence embeddings and external links (Wikidata, DBpedia),

Geospatial annotations with temporal and spatial modeling (CRMgeo, GeoSPARQL).

The resource supports research in digital humanities, linked data, and historical NLP. All data and code are released under open licenses and are integrated into the Frances semantic platform for exploration and reuse. GitHub repository MappingChange