cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Approaches for Occupants' involvement in the design process
Creators: name: O'Connor, Paul
name: MacSweeney, Rosemarie
name: Dunphy, Niall
Publisher: name: NewTREND H2020 Project
Year: 2016
Subjects: Occupant Involvement
Building refurbishment
Building design
Participatory design

description: The aim of this document is to provide a collaborative approach for engaging with building users and occupants during the design process for building refurbishment and design. The Introduction outlines the objective of the report and the general principles which were adopted to guide the development of the approach to occupant and user engagement. Section One reviews the current state of play regarding the involvement of building occupants and users in building design and post-occupancy evaluation.

Section Two outlines the process of stakeholder engagement which was undertaken as part of the research for this report. Section Three of the report outlines a wide range of methods that can be used to engage with building occupants and users and involve them in the design process. Each of these methods is described in Section 3, as well as characterised in terms of the depth of participation it affords; its capacity for promoting inclusivity; the timeframe required; the costs involved; the demands made on participants and the supports required; and the design phase with which it most closely aligns.

Section Four draws the previous work together to develop a coherent and flexible approach to occupant and user engagement. Five models of engagement are laid out, with recommendations for the specific engagement methods to be applied at each stage of a refurbishment project. In the final section, a suite of engagement methods, matched to the different stages in the design process, is proposed for each of the five models of occupant and user engagement.
sj-pdf-3-qhr-10.1177_10497323211043493 – Supplemental material for An Overwhelming Burden of Psychosocial Stress: Life With Ischemic Heart Disease for Midlife Patients With Low Socioeconomic Status and Lack of Flexible Resources
Creators: name: Rasmussen, Amanda Nikolajew
name: Petersen, Kirsten Schultz
name: Overgaard, Charlotte
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
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, sj-pdf-3-qhr-10.1177_10497323211043493 for An Overwhelming Burden of Psychosocial Stress: Life With Ischemic Heart Disease for Midlife Patients With Low Socioeconomic Status and Lack of Flexible Resources by Amanda Nikolajew Rasmussen, Kirsten Schultz Petersen and Charlotte Overgaard in Qualitative Health Research
title: Crystal structure of lithium ammonium hexachlorotellurate(IV), [Li₀.₂(NH₄)₀.₈]₂TeCl₆
Creators: name: Karray, R.
name: Kabadou, A.
name: Loukil, M.
name: Salah, A. Ben
Publisher: name: Oldenbourg Wissenschaftsverlag
Year: 2025

description: Cl₆H₆.₄Li₀.₄N₁.₆Te, cubic, Fm3̅m (No. 225), a = 10.357(2) Å, V = 1111.0 Å³, Z = 4, Rgt(F) = 0.060, wRref(F²) = 0.149, T = 299 K.
CROPS WATER STATUS QUANTIFICATION USING THERMAL AND MULTISPECTRAL SENSING TECHNOLOGIES
Creators: name: Zhu, Yan
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Agricultural engineering
Photogrammetry and remote sensing

description: Thermal and multispectral imagery can provide users with insights into the water stress status and evapotranspiration demand of crops. However, traditional platforms, such as satellites, for these thermal and multispectral sensors are limited in their usefulness due to low spatial and temporal resolution. Small unmanned aircraft system (UAS) have the potential to have similar sensors installed and provide canopy temperature and reflectance information at spatial and temporal resolutions more useful for crop management; however, most of the existing research on the calibration or the estimation of water status were established based on the satellite platforms either for the sensors calibration or water status quantification. There is, therefore, a need to develop methods specifically for UAS-mounted sensors. In this research, a pixel-based calibration and an atmospheric correction method based on in-field approximate blackbody sources were developed for an uncooled thermal camera, and the higher accurate vegetative temperature acquired after calibration was used as inputs to an algorithm developed for high-resolution thermal imagery for calculating crop latent heat flux. At last, a thermal index based on the Bowen ratio is proposed to quantify the water deficit stress in a crop field, along with this, a method for plot-level analysis of various vegetation and thermal indices have been demonstrated to illustrate its broad application to genetic selection. The objective was to develop a workflow to use high-resolution thermal and multispectral imagery to derive indices that can quantify crops water status on a plot level which will facilitate the research related to breeding selection. The camera calibration method can effectively reduce the root mean square error (RMSE) and variability of measurements. The pixel-based thermal calibration method presented here was able to reduce the measurement uncertainty across all the pixels in the images, thus improving the accuracy and reducing the between-pixel variability of the measurements. During field calibration, the RMSE values relative to ground reference targets for two flights in 2017 were reduced from 6.36°C to 1.24°C and from 4.56°C to 1.32°C, respectively. The latent heat flux estimation algorithm yields an RMSE of 65.23 W/m2 compared with the ground reference data acquired from porometer. The Bowen ratio has a high correlation with drought conditions quantified using the soil moisture index, stomatal conductance, and crop water stress index (CWSI), which indicates the potential of this index to be used as a water deficit stress indicator. The thermal and multispectral indices on a plot level displayed will facilitate the breeding selection.
Additional file 1 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 1: Supplementary Fig. 1. STR identification certificates of the three cell lines involved in this study, hacat, tu212, and tu686.
Supporting the Design and Authoring of Pervasive Smart Environments
Creators: name: Wang, Tianyi
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Human-computer interaction

description: The accelerated development of mobile computational platforms and artificial intelligence (AI) has led to increase in interconnected products with sensors that are creating smart environments. The smart environment expands the interactive spaces from limited digital screens, such as desktops and phones, to a much broader category that includes everyday objects, smart things, surrounding contexts, robots, and humans. The improvement of personal computing devices including smartphones, watches, and AR glasses further broadens the communication bandwidth between us and the ambient intelligence from the surrounding environment. Additionally in this smart environment people want to pursue personalization and are motivated to design and build their own smart environments and author customized functions. My work in this thesis focuses on investigating workflows and methods to support end-users to create personalized interactive experiences within smart environments. In particular, I designed the authoring systems by inspecting different interaction modalities, namely the direct input, spatial movement, in-situ activity and embodied interactions between users and everyday objects, smart things, robots and virtual mid-air contents. To this end, we explored 1) the software tools, hardware modules, and machines that support users to augment non-smart environments with digital interfaces and functions, and 2) the intelligence and context-awareness powered by the smart environments that deliver automatic and assistance during living and entertaining experiences. In this thesis, I mainly studied the following authoring workflows and systems: 1) customizing interactive interfaces on ordinary objects by surface painted circuits, 2) constructing a spatially aware environment for service robots with IoT modules, 3) authoring robot and IoT applications that can be driven by body actions and daily activities and 4) creating interactive and responsive augmented reality applications and games that can be played through natural input modalities. Takeaways from the main body of the research indicate that the authoring systems greatly lower the barrier for end-users to understand, control, and modify the smart environments. We conclude that seamless, fluent, and intuitive authoring experiences are crucial for building harmonious human-AI symbiotic living environments.
BOCATS 2023. CTD-02 Data Report
Creators: name: Le Bihan, Caroline
name: Lherminier, Pascale
name: Le Bot, Philippe
name: Hamon, Michel
name: Perez, Fiz F.
Publisher: name: Ifremer
Year: 2024

description: BOCATS 2023 cruise focused on the 11th repetition of the OVIDE section. OVIDE (BOCATS) cruises have been run biennially since 2002, always in June-July, and the section is labelled as a high-resolution reference section in the international program GO-SHIP. BOCATS 2023 started in Vigo on June 8 and ended in Reykjavik on July 14 on the R/V Sarmiento de Gamboa. The 98 stations of the OVIDE section, from Portugal to the tip of Greenland, could be realized in totality. The core of the work consisted in acquiring surface-to-bottom hydrographic profiles of pressure, temperature, salinity and dissolved oxygen, and analyzing 14 physical and biogeochemical tracers from 11 920 samples drawn from the Niskin bottles of the CTD frame. We report here a focus on the acquisition and calibration steps of the physical variables measured specifically by the hydrographic CTD-O2 probe.
After calibration, we find precisions for pressure, temperature, salinity and dissolved oxygen that fit the GO-SHIP international quality requirements. Pressure and temperature were calibrated at the laboratory before and after the cruise, leading to a repeatability better than 1 dbar and 0.001 °C respectively. The calibration of salinity and dissolved oxygen data is obtained by applying polynomial correcting functions that are calculated to statistically minimize the differences between the probe data and the sample data analyzed on board in the chemistry container. These chemical data are also evaluated by the comparison of replicates. After calibration, the differences in salinity and oxygen follow a zero-centered Gaussian-like distribution which standard deviation is used to evaluate the probe precision for each variable. For salinity, we find a standard deviation of 0.001, and for oxygen, 0.021 ml/l (or 1 μmol/kg). Those numbers correspond to a 68 % confidence interval and must be doubled to obtain the precision within a 95 % confidence interval.
XALQARO AUDIT STANDARTLARI (XAS) ASOSIDA BANK FAOLIYATINI AUDIT QILISHNING ASOSIY TAMOYILLARI
Creators: name: Ortiqov, Dilmurod
Publisher: name: Zenodo
Year: 2025

description: Mazkur tezisda xalqaro audit standartlari (XAS) asosida bank faoliyatini audit qilishning nazariy va amaliy jihatlari keng yoritilgan. Hozirgi globallashuv sharoitida banklarning moliyaviy hisobotlari bo‘yicha auditorlik xulosasining ishonchliligi va xalqaro talablarga muvofiqligi moliyaviy barqarorlikni ta’minlashda muhim omil hisoblanadi. Shu nuqtai nazardan, tezisda XASning asosiy tamoyillari — auditorning mustaqilligi va xolisligi, kasbiy shubha bilan yondashish, oqilona ishonch darajasini shakllantirish, auditni to‘g‘ri rejalashtirish va risklarni baholash, hujjatli dalillarga asoslangan audit xulosasini tayyorlash kabi muhim jihatlar atroflicha tahlil qilinadi. Bank faoliyatini XAS asosida audit qilishda uchraydigan dolzarb muammolar, ularni bartaraf etish yo‘llari, hamda xalqaro standartlarning milliy amaliyotga moslashuvi bilan bog‘liq tavsiyalar berilgan. Shuningdek, tezisda bank auditi jarayonining bosqichlari bosqichma-bosqich yoritilib, har bir bosqichda XAS talablari qanday qo‘llanishi lozimligi izohlanadi. Tadqiqot natijalari banklar faoliyatining shaffofligi, ishonchliligi va samaradorligini oshirishda xalqaro standartlarga asoslangan audit jarayonining o‘rni va ahamiyatini ochib beradi.
Supplemental Material, sj-docx-1-pch-10.1177_21501351211022413 - Early Versus Late Sternal Closure in Infants—Perioperative Associations and Outcomes
Creators: name: Asfari, Ahmed
name: Clark, Matthew G.
name: Hock, Kristal M.
name: Huskey, Jordan L.
name: Rahman, A. K. M. F.
name: Dabal, Robert J.
name: Borasino, Santiago
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Cardiology
subject: 111403 Paediatrics
subject: FOS: Clinical medicine
subject: 110323 Surgery

description: Supplemental Material, sj-docx-1-pch-10.1177_21501351211022413 for Early Versus Late Sternal Closure in Infants—Perioperative Associations and Outcomes by Ahmed Asfari, Matthew G. Clark, Kristal M. Hock, Jordan L. Huskey, A. K. M. F. Rahman, Robert J. Dabal and Santiago Borasino in World Journal for Pediatric and Congenital Heart Surgery
sj-pdf-1-qhr-10.1177_10497323211039205 – Supplemental material for “Will You Still Feel Beautiful When You Find Out You Are Different?”: Parents’ Experiences, Reflections, and Appearance-Focused Conversations About Their Child’s Visible Difference
Creators: name: Feragen, Kristin J. Billaud
name: Myhre, Anita
name: Stock, Nicola Marie
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
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, sj-pdf-1-qhr-10.1177_10497323211039205 for “Will You Still Feel Beautiful When You Find Out You Are Different?”: Parents’ Experiences, Reflections, and Appearance-Focused Conversations About Their Child’s Visible Difference by Kristin J. Billaud Feragen, Anita Myhre and Nicola Marie Stock in Qualitative Health Research
Additional file 2 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 2: Supplementary Fig. 2. Three cells were free of mycoplasma contamination, as determined by MycoProbe mycoplasma detection kit.
Delayed time mode validation Minimum / maximum temperature and salinity reference field
Creators: name: Szekely, Tanguy
Publisher: name: Sismer
Year: 2024

description: The twice-yearly update of the Copernicus marine product INSITU_GLO_PHY_TS_DISCRETE_MY_013_001 (hereafter referred to as the CORA dataset) implies performing a delayed-time mode validation of the temperature and salinity in-situ profiles. One of the most crucial tests in this validation process involves comparing the new profiles to a reference field of minimum and maximum observed temperature and salinity (DM MinMax field). This test has proven to be highly accurate for delayed-mode validation. The DM MinMax field is refined after each major release of the dataset.
sj-pdf-1-mdm-10.1177_0272989X211044697 – Supplemental material for Recalibration Methods for Improved Clinical Utility of Risk Scores
Creators: name: Mishra, Anu
name: McClelland, Robyn L.
name: Inoue, Lurdes Y. T.
name: Kerr, Kathleen F.
Publisher: name: SAGE Journals
Year: 2021
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, sj-pdf-1-mdm-10.1177_0272989X211044697 for Recalibration Methods for Improved Clinical Utility of Risk Scores by Anu Mishra, Robyn L. McClelland, Lurdes Y. T. Inoue and Kathleen F. Kerr in Medical Decision Making
Experimental Demonstration of Agrivoltaic Systems via Multi-Scale Design and Characterization
Creators: name: Grubbs, Elizabeth Kathleen
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Energy generation, conversion and storage (excl. chemical and electrical)
Electrical engineering not elsewhere classified

description: As the global population approaches 11 billion people, demands for sustainable food, energy, and water (FEW) are approaching unprecedented levels. Current technology places sustainable FEW production methods in direct competition with one another for global surface area, such as land area for agriculture versus photovoltaic farms. This is because current installation methods for solar modules create deep shading that suppresses plant growth. The field of agrivoltaics (AgPV) addresses this issue directly by optimizing coproduction strategies for FEW and developing systems where competition is reduced; however, previous work has seen reductions in agricultural output. AgPV, where module architecture is also modified and agricultural output is minimally impacted, requires novel multi-level experimental design and characterization. In my proposed thesis, I will address the following two aspects of the project: (1) a farm-level experimental analysis of existing PV and (2) a device-level analysis of new and emerging PV material candidates. To establish the plausibility of this work, I designed and implemented an agrivoltaic system with two treatments that was successfully farmed this year. In my thesis, I will demonstrate a fully characterized utility scale AgPV array through several steps. First, I will validate the prior simulation work on the constructed AgPV array. Then I will experimentally correlate crop growth underneath the AgPV experiment. Next, the effects of the shadowing from the array on crop growth will be quantified. I will optimize the tracking algorithm for the array to maximize crop growth during the summer and power production during other seasons. Finally, I will investigate a platform for evaluation of novel PV materials and devices tailored for AgPV systems using Photoluminescence Excitation Spectroscopy (PLE) where I redesigned, constructed, and validated a new experimental design.
sj-pdf-1-ijq-10.1177_16094069211047066 – Supplemental Material for What Makes a Military Professional? Evaluating Norm Socialization in West Point Cadets
Creators: name: Thompson, Zara
name: Baker, Felicity Anne
name: Clark, Imogen Nicola
name: Tamplin, Jeanette
Publisher: name: SAGE Journals
Year: 2021
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-ijq-10.1177_16094069211047066 for Making Qualitative Interviews in Music Therapy Research More Accessible for Participants Living With Dementia – Reflections on Development and Implementation of Interview Guidelines by Zara Thompson, Felicity Anne Baker, Imogen Nicola Clark and Jeanette Tamplin in International Journal of Qualitative Methods
Quality Information Document. In Situ TAC INSITU_GLO_PHY_TS_DISCRETE_MY_013_001. And Synthesis Quality Overview document (SQO)
Creators: name: Szekely, Tanguy
Publisher: name: Copernicus Marine In Situ TAC
Year: 2024

description: INSITU_GLO_PHY_TS_DISCRETE_MY_013_001 or CORA (Coriolis Ocean Dataset for Reanalysis), also called “Global Ocean-Full CORA- in situ Observations Yearly Delivery in Delayed Mode” is a global dataset of ocean in situ sea temperature and salinity (T/S) measurements.
This document aims to give a detailed picture of the processes and tools used to validate this dataset.
The INSITU_GLO_PHY_TS_DISCRETE_MY_013_001 product is made up of 2 different datasets:
 - The CORA dataset including the full profiles and full metadata covering the global ocean, with distinct data distribution for the In-Situ TAC regions (including global ocean and the European regions).
 - A dataset derived from CORA, the Easy CORA dataset, with a simplified data structure and format.
Highly Accreting Quasars At High Redshift
Creators: name: Martínez-Aldama, Mary Loli
name: Del Olmo, Ascensión
name: Marziani, Paola
name: Negrete, Alenka C.
name: Sulentic, Jack
name: Dultzin, Deborah
Publisher: name: Zenodo
Year: 2017
Subjects: Quasars
AGN
Type I

description: The first results of a spectroscopic analysis for a sample of type I highly accreting quasars (L/LEdd ~ 1) at redshift z~2-3 observed with the OSIRIS spectrograph on the GTC 10.4 m telescope.
NONINVASIVE BIOMECHANICAL CHARACTERIZATION OF THE AORTA
Creators: name: Cebull, Hannah L
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Biomechanical engineering

description: The aorta has many complex features including valve and vessel wall geometry, blood flow, and wall composition. Diseases such as aortic aneurysms and aortic valve lesions affect vessel function and may even lead to rupture, which can be fatal. However, current clinical diagnoses of aortopathies mainly rely on simple parameters such as diameter and growth rate. To better understand aortopathies and ultimately improve patient diagnoses and treatments, it is important to investigate disease progression as well as the effect of vessel wall composition changes and hemodynamic forces on aortic biomechanics, such as strain and wall shear stress distribution. Preclinical research using small animals allows for disease progression to be studied while controlling outside factors. The next important step is to apply the methods used in the preclinical studies to human patient data. Both preclinical and clinical studies often focus on noninvasive, patient-specific methods for further characterizing the biomechanics of the aorta using advanced techniques such as 4D flow magnetic resonance imaging, 4D ultrasound, computational fluid dynamics (CFD), and fluid structure interaction (FSI) modeling. Yet the challenge of bridging these research techniques to a clinical setting remains. Factors such as financial costs, acquisition time, and ease of analysis must be considered. Therefore, the following document highlights two specific aims to extend our knowledge about the effects of aneurysms and aortic valve lesions. We will 1) characterize the regional effects of murine abdominal aortic aneurysms on strain over time, and 2) use CFD and FSI to simulate the hemodynamic effects on the thoracic aorta using both murine and human patient imaging data. Conducting research using clinically translatable methods of biomechanical characterization that consider the complexity of the aorta on a patient-specific basis will contribute to our understanding and lead to better patient outcomes.
Euro-Argo best practices, filling float deployment sheets at Coriolis DAC (Data Assembly Centre)
Creators: name: Cancouet, Romain
Publisher: name: Ifremer
Year: 2023
Subjects: Argo
physical oceanography
in-situ marine data
profiling floats
operational oceanography

description: This document proposes in-depth example of metadata filling for an NKE Arvor float with Seabird CTD (deployment sheet ID 19).
Additional file 1 of Impaired autophagy contributes to the aggravated deterioration of osteoarthritis articular cartilage by peroxisome proliferator-activated receptor α deficiency, associated with decreased ERK and Akt activation
Creators: name: Zhou, Yang
name: Li, Li
name: Chen, Xiaolei
name: Zhao, Qiubo
name: Qu, Ning
name: Zhang, Bing
name: Jin, Xin
name: Xia, Chun
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: Science Policy
subject: Immunology
subject: FOS: Clinical medicine
subject: Computational Biology

description: Additional file 1: Table S1. Patient information for individuals undergoing total knee replacement surgery.
Euro-Argo best practices, decoding Argo floats at European DACs (Data Assembly Centres)
Creators: name: Cancouet, Romain
Publisher: name: Ifremer
Year: 2023
Subjects: Argo
physical oceanography
in-situ marine data
profiling floats
operational oceanography

description: The purpose of this document is to guide European teams deploying Argo floats in organising the decoding of their data in a timely manner and following Argo data management procedures.
sj-docx-4-pie-10.1177_09544089211046081 - Supplemental material for Modeling of cattaneo-christov heat and mass flux on non-newtonian hydromagnetic fluid with variable thermal and solutal properties
Creators: name: Babu, B. Hari
name: Srinivasa Rao, P.
name: Reddy, M. Gnaneswara
name: Varma, S.V.K.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-4-pie-10.1177_09544089211046081 for Modeling of cattaneo-christov heat and mass flux on non-newtonian hydromagnetic fluid with variable thermal and solutal properties by B. Hari Babu, P. Srinivasa Rao, M. Gnaneswara Reddy and S.V.K. Varma in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Towards More Scalable and Practical Program Synthesis
Creators: name: Wang, Yanjun
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Programming languages
Networking and communications

description: Program synthesis aims to generate programs automatically from user-provided specifications and has the potential to aid users in real-world programming tasks from different domains. Although there have been great achievements of synthesis techniques in specific domains such as spreadsheet programming, computer-aided education and software engineering, there still exist huge barriers that keep us from achieving scalable and practical synthesis tools.
 This dissertation presents several techniques towards more scalable and practical program synthesis from three perspectives: 1) intention: Writing formal specification for synthesis is a major barrier for average programmers. In particular, in some quantitative synthesis scenarios (such as network design), the first challenge faced by users is expressing their optimization targets. To address this problem, we present comparative synthesis, an interactive synthesis framework that learns near optimal programs through comparative queries, without explicitly specified optimization targets. 2) invention: Synthesis algorithms are key to pushing the performance limit of program synthesis. Aiming to solve syntax-guided synthesis problems efficiently, we introduce a cooperative synthesis technique that combines the merits of enumerative and deductive synthesis. 3) adaptation: Besides functional correctness, quality of generated code is another important aspect. Towards automated provably-correct optimization over tree traversals, we propose a stack-based representation for iterations in tree traversals and an encoding to Monadic Second-Order logic over trees, which enables reasoning about tree traversal transformations which were not possible before.
Argo data management report 2023, Coriolis DAC & GDAC
Creators: name: Carval, Thierry
name: Coatanoan, Christine
Publisher: name: Ifremer
Year: 2023
Subjects: argo

description: This report covers the activity of Coriolis DAC (Data Assembly Centre) for the one-year period from September 1st 2022 to September 30th 2023.
sj-docx-1-soc-10.1177_00380385211043679 – Supplemental material for Environment or Economy? Food Concerns and Sustainable Food Transitions in the UK
Creators: name: Foden, Mike
name: Head, Emma
name: Katz-Gerro, Tally
name: Martens, Lydia
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-1-soc-10.1177_00380385211043679 for Environment or Economy? Food Concerns and Sustainable Food Transitions in the UK by Mike Foden, Emma Head, Tally Katz-Gerro and Lydia Martens in Sociology
Copernicus Marine In Situ TAC NetCDF format manual
Creators: name: Copernicus Marine In Situ Tac Data Management Team,
Publisher: name: Copernicus Marine in situ TAC
Year: 2023

description: This document specifies the NetCDF file format of Copernicus Marine In Situ TAC used to distribute ocean In Situ data and metadata. It documents the standards used herein; this includes naming conventions as well as metadata content. It was initiated in March 2019, based on OceanSITES and Argo user's manuals.
title: Compliance of agricultural AI systems – app-based legal verification throughout the development
Creators: name: Kruse, Niklas
name: Wachter, Paul
name: Schöning, Julius
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: AI
subject: compliance
subject: agriculture
subject: decision support application
subject: law
subject: ethical AI

description: Significant advances in artificial intelligence (AI) have been achieved; however, practical implementation in agriculture remains limited. Compliance with emerging regulations, such as the EU AI Act and GDPR, is now vital, even for non-critical AI systems. Developers need tools to assess legal compliance, which is complex, often requiring full legal advice. To address this issue, we are developing a support app that simplifies the legal aspects of AI system development, covering the entire lifecycle, from conception to distribution. The current app, which covers the key legal area of copyright and will soon include GDPR and the AI Act, aims to bridge the gap between AI research and agriculture. An evaluation of our app by experts from both the legal and the IT domains shows that the app assists the developers so that they make legally correct statements. Consequently, it promotes legal compliance and awareness among developers, contributing to the seamless integration of AI into agriculture. The need for compliant AI systems in various industries, including agriculture, will only increase as regulations evolve.
title: CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology
Creators: name: Andreas Gilson, Mareike Weule
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: cherry tree
subject: digital horticulture
subject: digital twin
subject: knowledge graph
subject: orchard
subject: phenotyping
subject: tree topology
subject: precision farming

description: CherryGraph is a structural framework for mapping trees into an ontology-based knowledge graph that can be used as database backend for digital twins. Based on the reconstructed 3D topology of scanned trees, information is encoded in a knowledge graph that resembles the real canopy structure of trees. Thus, CherryGraph enables consistent navigation within the branching system of a tree over different time points regardless of natural fluctuations. The resulting knowledge graph can then be queried for arbitrary use cases or aggregated on different hierarchy levels. We demonstrate the potential of CherryGraph by using data of real cherry trees from the 2023 cherry season with exemplary queries that can be extended to include spatial and temporal dimensions for comparing indicators like elongation growth of shoots or tracking the development of other various tree traits over time.
Additional file 4 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 4: Table S2. Wild-type and mutant sequences of binding sites in the BMP2 promoter region.
title: Predictive task scheduler and ERP system for automated vegetable cultivation in an outdoor environment
Creators: name: Maike, Simon
name: Abbas, Farooq
name: Lee, Ting Sheng
name: Kühnast, Marvin
name: Weber, Bettina
name: Becker, Rolf
name: Franko, Josef
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: task scheduling
subject: ERP system
subject: Odoo
subject: Robot Operating System (ROS)
subject: spot farming

description: Automated spot farming is a promising approach to overcome the ecological and economical challenges in modern agriculture. This requires sophisticated robotic controls and data management. The AgriPV-Bot, as a full farming system for mixed vegetable farming, achieves this by extending a classical ERP (enterprise resource planning) system towards monitoring single plant cultivation. The task scheduler analyzes this data, determines the resulting horticultural process for each specific plant individually and monitors the process execution that is performed by robotics. This paper introduces the features of the ERP system as well as the strategy for the predictive task scheduler.
title: A crowdsensing-based smartphone app for optimal food storage and real-time best-before dates
Creators: name: Senge, Julia
name: Mielinger, Ellen
name: Wendt, Marie Catherine
name: Weinrich, Ramona
name: Krupitzer, Christian
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: agri-food chain
subject: agri-food systems
subject: design science approach
subject: food waste
subject: machine learning
subject: smartphone application

description: Private households are responsible for 59% of Germany’s 11 million tons of food waste. Consumers’ behavior significantly contributes to food waste, prompting our concept to develop a smartphone application aimed at diminishing uncertainties about food expiration and safety. Utilizing a Design Science approach, we developed a prototype for a smartphone app, integrating novel functionalities to minimize food waste at the consumer household level. We analyzed existing market applications and, as a result, introduced the Freshlimeter, a unique feature that estimates the real-time best-before date within our app using feedback from consumers. We also highlight the potential for innovative app features, such as integrating a chatbot with image recognition capabilities to enable freshness assessments, especially for unpackaged or opened food.
title: Image-based activity monitoring of pigs
Creators: name: Jan-Hendrik Witte, Jorge Marx Gómez
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: precision livestock farming
subject: deep learning
subject: computer vision
subject: activity monitoring

description: In modern pig livestock farming, animal well-being is of paramount importance. Monitoring activity is crucial for early detection of potential health or behavioral anomalies. Traditional object tracking methods such as DeepSort often falter due to the pigs' similar appearances, frequent overlaps, and close-proximity movements, making consistent long-term tracking challenging. To address this, our study presents a novel methodology that eliminates the need for conventional tracking to capture activity on pen-level. Instead, we segment video frames into predefined sectors, where pig postures are determined using YOLOv8 for pig detection and EfficientNetV2 for posture classification. Activity levels are then assessed by comparing sector counts between consecutive frames. Preliminary results indicate discernible variations in pig activity throughout the day, highlighting the efficacy of our method in capturing activity patterns. While promising, this approach remains a proof of concept, and its practical implications for real-world agricultural settings warrant further investigation.
ENVRI Glossary
Creators: name: Seemeyer, Katrin
name: Asmi, Ari
name: Brus, Magdalena
name: Franz, Daniela
name: Petzold, Andreas
name: Zhao, Zhiming
Publisher: name: Zenodo
Year: 2021
Subjects: ENVRI
glossary
Reference Model
terminology

description: The document represents the glossary developed by the community of Environmental Research Infrastructures (ENVRI), including also the ENVRI Reference Model Glossary.

The glossary is maintained by the ENVRI community. It was maintained in the framework of the H2020 project ENVRI-FAIR, Grant agreement ID: 824068 and is followed up by the ENVRI-Hub NEXT project with funding from the European Union’s Horizon Research and Innovation programme under grant agreement no 101131141. The document will be updated and versioned regularly.
title: Entwicklung eines digitalen Zertifikatsystems zur Dokumentation landwirtschaftlicher Klima- und Umweltschutzmaßnahmen am Beispiel der Kartoffel-Wertschöpfungskette
Creators: name: Peters, Marie Sophie
name: Rahn, Torben
name: Fock, Steffi
name: Reckleben, Yves
name: Schulze, Holger
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Digitalisierung
subject: Kartoffeln
subject: automatische Datenerfassung
subject: CO2-Zertifikate
subject: CO2-Äquivalenzen

description: Die Herausforderungen in der Landwirtschaft sind zahlreich und fordernd. Neben dem Klimawandel und den damit einhergehenden Extremwetterereignissen steigen die Anforderungen an die Landwirte, Prozessqualitäten nachzuweisen, stetig (z. B. die Einhaltung von Umweltschutzmaßnahmen). Dabei steigt die Komplexität und Vielschichtigkeit mit jeder Stufe der Wertschöpfungskette. Digitale bzw. automatisierte Zertifikatsysteme haben das Potenzial, die Transparenz entlang der Wertschöpfungskette zu erhöhen und gleichzeitig den administrativen Dokumentationsaufwand der Stakeholder in der Wertschöpfungskette zu verringern. Im Rahmen der Studie wurden Experteninterviews entlang einer ausgewählten Wertschöpfungskette (Kartoffel) durchgeführt, um Herausforderungen der Digitalisierung sowohl im Bereich des Anbaus und der Produktion als auch in der Vermarktung zu analysieren. Darüber hinaus wurden die Potenziale einer automatisierten Erfassung einer Klima- und Umweltschutzmaßnahme am Beispiel des CO2-Fußabdruckes analysiert. Dazu wurden systematisch CO2-Berechnungs-Tools miteinander verglichen und automatisierte Erfassungsmöglichkeiten im landwirtschaftlichen Bereich aufgezeigt und durchleuchtet, um eine mögliche Grundlage für ein neues Zertifizierungssystem zu schaffen.
Additional file 7 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 7: Supplementary Fig. 3. The KEGG and GO analysis of VMDEGs between normal and tumor samples. (A-B) KEGG pathway analysis. (C–D) GO enrichment analysis.
title: „LeguDash“ – ein Prototyp eines Dashboards für mehr Transparenz am Leguminosenmarkt
Creators: name: Köpp, Dennis
name: Bertram, Hendrik
name: Kezeya, Bruno
name: Zerhusen-Blecher, Petra
name: Schäfer, Tanja
name: Gültas, Mehmet
name: Mergenthaler, Marcus
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Leguminosen
subject: Dashboard
subject: Datensammlung
subject: LeguNet
subject: LeguDash
subject: Preisschätzungstools

description: In Deutschland verzeichnet man einen wachsenden Trend in der Nachfrage nach heimisch produzierten Körnerleguminosen. Allerdings ist der Markt für Körnerleguminosen intransparent, was erhebliche Unsicherheit für Landwirt:innen bei der Planung ihrer Anbauflächen verursacht. Um dieser mangelnden Transparenz des Marktes zu begegnen und neuen Marktteilnehmenden den Eintritt zu erleichtern, wurde das Leguminosen-Netzwerk ins Leben gerufen. Im Rahmen dieses Projekts wurde das Dashboard „LeguDash“ entwickelt, das zukünftig wichtige Marktdaten und Preisinformationen für Körnerleguminosen bereitstellen soll. Das Hauptziel von LeguDash besteht darin, nicht nur die Preistransparenz zu erhöhen, sondern auch den Wert und die Bedeutung von Körnerleguminosen in der Agrarwirtschaft zu verdeutlichen. Dieses Instrument bietet Landwirt:innen, Händler:innen und anderen Akteur:innen entlang der Wertschöpfungskette die Möglichkeit, auf umfassende Informationen zuzugreifen, die für die Preisabschätzung und die Marktorientierung für Körnerleguminosen unerlässlich sind. Die Implementierung von LeguDash soll zur Verbesserung der Marktsituation für Körnerleguminosen in Deutschland beitragen, indem es den Akteur:innen im Agrarsektor ermöglicht, fundierte Entscheidungen zu treffen und ihre Geschäftsstrategien zu optimieren. Zukünftig ist geplant, die Befragung von Akteur:innen in die Weiterentwicklung von LeguDash einzubeziehen und das Werkzeug in die Praxis einzuführen.
title: Implementierung eines Noisy-Student-Ansatzes zur Verbesserung der automatischen Detektionsleistung bei Ferkeln
Creators: name: Wutke, Martin
name: Holzhauer, Anne
name: Hartmann, Ulrich
name: Lieboldt, Marc-Alexander
name: Traulsen, Imke
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Computer Vision
subject: Noisy-Student
subject: Objekterkennung
subject: Abferkelung

description: Die Verwendung überwachter Lernalgorithmen aus dem Bereich der künstlichen Intelligenz hält vermehrt Einzug im wissenschaftlichen Alltag. Vor allem die Nutzung von Kameratechnologie und Objekterkennung zeigt großes Potenzial im ethologischen Kontext. Da der Prozess der Datenannotation einen Großteil der zeitlichen und kostenbezogenen Ressourcen vereinnahmt, werden langfristig innovative Trainingsansätze notwendig. Die vorliegende Studie beschreibt diesbezüglich einen semi-überwachten Noisy-Student-Ansatz zur automatischen Datengenerierung und Verbesserung der Objektdetektion am Beispiel neugeborener Ferkel. Im Rahmen eines zweistufen Modellansatzes wird ein auf händisch annotierten Daten trainiertes Lehrermodell zur Erzeugung von Pseudo-Annotationen und zum Training eines Schülermodells verwendet. Im Ergebnis kann auf diese Weise eine Verbesserung der Detektionsleistung mit einem Recall-Wert von 0,453 auf 0,707 und einem mAP0.5-Wert von 0,773 auf 0,839 erzielt werden. Die Ergebnisse dieser Studie werden im weiteren Projektverlauf zur Untersuchung des Abferkelprozesses und der Bestimmung kritischer Informationen zum Geburtsverlauf beitragen.
title: Transformation von Maschinendaten als Eingabe für maschinelle Lernverfahren zur Klassifikation von landwirtschaftlichen Arbeitsgängen
Creators: name: Manuel Geil, Jan-Henrik Helmig
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Klassifikation
subject: maschinelle Lernverfahren
subject: Maschinendaten
subject: künstliche Intelligenz

description: Landwirte dokumentieren heutzutage noch immer häufig ihre Tätigkeiten auf Schlägen manuell, was eine aufwändige und fehleranfällige Tätigkeit darstellt. Dies wird zunehmend belastend, da die Dokumentationspflichten für Landwirte umfangreicher werden. In diesem Beitrag wurden bereits aufgenommene Maschinendaten zur Klassifikation von Maschinentätigkeiten analysiert und basierend darauf transformiert. Der daraus resultierende reduzierte Datensatz diente als Eingabe für maschinelle Lernverfahren zur Klassifikation von landwirtschaftlichen Tätigkeiten. Die Klassifikationsgenauigkeit der überprüften Verfahren lag bei über 93 %. Unter Einbezug von Daten einer fremden Landmaschine, mit denen die ML-Modelle vorher nicht trainiert wurden, war der Random Forest das Lernverfahren mit der höchsten Klassifikationsgenauigkeit. Die Ergebnisse dieser Arbeit zeigen, dass Klassifikationsmodelle maschineller Lernverfahren mit trans-formierten und reduzierten Maschinendaten Klassifikationsergebnisse zur automatisierten Tätigkeitsdokumentation liefern können.
title: Hybrid-Cloud-Infrastrukturen – Edge Computing und KI-basierte Anwendungen in der Landwirtschaft für resiliente und effektive Produktions- und Biodiversitätsmaßnahmen
Creators: name: Daniel Eberz-Eder, Franz Kuntke
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Resilienz
subject: Edge Computing
subject: Künstliche Intelligenz
subject: Semantik
subject: HofBox

description: Mobile Erhebung semantisch modellierter Daten und deren Auswertung im Feld durch Hybrid Cloud Computing sind Grundlage des Resilienten Smart Farmings im Projekt GeoBox. Eine skalierbare Architektur und semantische Datenmodellierung ermöglichen das Management betrieblicher Software-Container, die flexible Anpassung an neue Aufgaben und die Realisierung einfach nutzbarer externer Services, vorgestellt am Beispiel eines Resistenz-Beratungs-Chatbots und von Blühstreifen als Biodiversitätsmaßnahme.