cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The adoption of computer technology by faculty in a college of education
Creators: name: Casmar, Stephen Paul
Publisher: name: Washington State University
Year: 2001
Subjects: Education, Higher -- Effect of technological innovations on
Education -- Computer-assisted instruction
College teaching -- Aids and devices

description: A qualitative exploration of 12 College of Education faculty at a research university was undertaken using a case study design with saturated individual interviews as the primary data source. Information in interviews was triangulated with third-party indicators and observation. The following research questions were generated for exploration: (a) What individual faculty characteristics effect the adoption of technology? (b) What faculty perceptions of college-level institutional characteristics effect the adoption of technology? (c) What can be done to assist faculty in adopting technology? Grounded theory was generated resulting in a technology-interaction model of users. A technology-interaction model may be useful in providing a framework for conducting future research. Faculty were thought to exhibit a usage style that illustrated their technological skill which ranged from concrete to flexible on an X-axis continuum and a conceptual style which illustrated their approach to technology on a Y-axis continuum ranging from practical to visionary. Thus, four usage-conceptual styles of technology adoption were defined. Faculty exhibiting a Concrete-Practical style have prescribed technological skills and view technology as an appliance for a specific task, adopting most slowly. Faculty exhibiting a Concrete-Visionary style have prescribed technological skills and view technology as a tool for creative use, adopting somewhat rapidly. Faculty exhibiting a Flexible-Practical style have transferable technological skills and view technology as an appliance for a specific task, adopting somewhat slowly. Faculty exhibiting a Flexible-Visionary style have transferable technological skills and view technology as a tool for creative use, adopting very rapidly. This model may prove to be useful as a theoretical framework for further research as it examines external and internal factors and considers the autonomy of university faculty. Implications for policy and practice indicate that technology policies must clearly define and uniformly reward faculty with funding, equipment and release time for mastery of transferable skill training by peer models and College-wide programming that focuses on the pedagogical value of technology adoption.
BOSHLANG'ICH TA'LIM YO'NALISHI TALABALARIDA TA'LIM PLATFORMALARI ORQALI KASBIY KOMPETENTLIKNI RIVOJLANTIRISH
Creators: name: Ruzimova, Yulduzxon
Publisher: name: Zenodo
Year: 2024

description: Mazkur tezisda boshlang‘ich ta’lim yo‘nalishi talabalari kasbiy kompetentligini rivojlantirishda ta’lim platformalarining o‘rni va ahamiyati tahlil qilinadi. Zamonaviy ta’lim jarayonlarida raqamli texnologiyalardan foydalanishning dolzarbligi, o‘quv jarayonini sifatli tashkil etishda ta’lim platformalarining samaradorligi yoritilgan.
Modeling Alternatives for Implementing the Point-based Bundle Block Adjustment
Creators: name: Ma, Chen
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Civil engineering not elsewhere classified

description: This thesis examines the multilinear equations of the calibrated pinhole camera. The multilinear equations describe the linear relations between camera parameters and image observations in matrix or tensor formats. This thesis includes derivations and analysis of the trilinear equations through the point feature relation. For the four-frame and more than four frame cases, this paper gives derivations and analysis using a combination of the bilinear and trilinear equations to represent general multi-frame point geometry. As a result, a three-frame model (TFM) for general multi-frame point geometry is given. This model provides a concise set of minimal and sufficient equations and minimal unknowns. Based on the TFM, there are two bundle adjustment (BA) approaches developed. The TFM does not involve the object parameters/coordinates necessary and indispensable for the collinearity equation employed by BA. The two methods use TFM as the condition equation fully and partially, replacing the collinearity equation. One operation using both TFM and the collinearity equation is designed to engage the object structures' prior knowledge. The synthetical and real data experiments demonstrate the rationality and validity of the TFM and the two TFM based methods. When the unstable estimate of the object structures appears, the TFM-based BA methods have a higher acceptance ratio of the adjustment results.
sj-pdf-2-msj-10.1177_13524585211038291 – Supplemental material for Eculizumab monotherapy for NMOSD: Data from PREVENT and its open-label extension
Creators: name: Pittock, Sean J
name: Fujihara, Kazuo
name: Palace, Jacqueline
name: Berthele, Achim
name: Kim, Ho Jin
name: Oreja-Guevara, Celia
name: Nakashima, Ichiro
name: Levy, Michael
name: Shang, Shulian
name: Yountz, Marcus
name: Miller, Larisa
name: Armstrong, Róisín
name: Wingerchuk, Dean M
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Aged Health Care

description: Supplemental material, sj-pdf-2-msj-10.1177_13524585211038291 for Eculizumab monotherapy for NMOSD: Data from PREVENT and its open-label extension by Sean J Pittock, Kazuo Fujihara, Jacqueline Palace, Achim Berthele, Ho Jin Kim, Celia Oreja-Guevara, Ichiro Nakashima, Michael Levy, Shulian Shang, Marcus Yountz, Larisa Miller, Róisín Armstrong and Dean M Wingerchuk in Multiple Sclerosis Journal
What are the strategies & good practices for engaging and sustaining patient communities?
Creators: name: AIM Community
Publisher: name: Zenodo
Year: 2025
Subjects: AIM Conference 2024

description: The workshop was designed to provide members of the AIM community with an opportunity to discuss key topics shaping the future of AI and MLTC research, aiming to improve lives for those living with or caring for people with Multiple Long-Term Conditions. In collaboration with NIHR, six discussion topics with guiding questions were prepared to explore challenges and potential solutions. The session is part of "Pioneering AI in MLTC: Bridging Research and Practice Conference 2024" that took place on 9-10 Sept 2024 in Manchester.

The event welcomed 80-100 registered attendees, with 12-16 participants engaging in discussions on each topic and eight joining online. A one-hour session included 50 minutes for discussion, focusing on capturing attendees' insights and identifying three key takeaways for feedback.

There were 7 topics discussed in the workshop, this summary includes the discussion and takeaway from the 7th topic.

Topic 1: How can we mobilise knowledge that has been generated by AIM?

Topic 2: What are the strategies & good practices for engaging and sustaining patient communities?

Topic 3: How can we champion early career researchers in MLTC research?

Topic 4: What technical support is needed for the next stage of translation/impact?

Topic 5: Who do we need to engage to ensure broad collaboration for translating research?

Topic 6: How would we move towards system thinking and transdisciplinary research in MLTC?

Topic 7: What are the strategies & good practices for engaging and sustaining patient communities?

A playlist of the conference recordings can be accessed here

The AI for Multiple Long Term Conditions Research Support Facility (link to the same archived website) is based at The Alan Turing Institute, in partnership with Swansea University and the University of Edinburgh. The RSF offers AI and advanced data science expertise and support to the eight research consortia, as part of a broader £23M investment in multiple long-term conditions research (the AIM Programme). AIM RSF is funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647).
Systemic risk measures and macroprudential stress tests An assessment over the 2014 EBA exercise
Creators: name: PEDERZOLI, CHIARA
name: TORRICELLI, Costanza
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2015

description: The European Banking Authority (EBA) stress tests, which aim to quantify banks? capital shortfall in a potential future crisis (adverse economic scenario), further stimulated an academic debate over systemic risk measures and their predictive/informative content. Focusing on marked based measures, Acharya et al. (2010) provides a theoretical background to justify the use of Marginal Expected Shortfall (MES) for predicting the stress test results, and verify it on the first stress test conducted after the 2007-2008 crises on the US banking system (SCAP, Supervisory Capital Assessment Program). The aim of this paper is to further test the goodness of MES as a predictive measure, by analysing it in relation to the results of the 2014 European stress tests exercise conducted by EBA. Our results are strongly dependent on index used to capture the systemic distress event, whereby MES, based on a global market index, does not show association with EBA stress test, by contrast to F-MES, which is based on a financial market index, and has a significant information and predictive power. Our results may carry useful regulatory implication for the stress test exercises.
Additional file 1 of Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review
Creators: name: Chuang, Ya-Chi
name: Tsai, Yu-Lin
name: Lin, Tony Tung-Liang
name: Ou-Yang, Liang-Jun
name: Lee, Yu-Chun
name: Cheng, Yuan-Yang
name: Liu, Chuan-Ching
name: Hsu, Chun-Sheng
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1: Table S1. PRISMA 2020 Checklist.
The Forecasting Performance of Dynamic Factor Models with Vintage Data
Creators: name: DI BONAVENTURA, LUCA
name: FORNI, Mario
name: PATTARIN, Francesco
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2018

description: We present a comparative analysis of the forecasting performance of two dynamic factor models, the Stock and Watson (2002a, b) model and the Forni, Hallin, Lippi and Reichlin (2005) model, based on vintage data. Our dataset that contains 107 monthly US ?first release? macroeconomic and financial vintage time series, spanning the 1996:12 to 2017:6 period with monthly periodicity, extracted from the Bloomberg database? . We compute real-time one-month-ahead forecasts with both models for four key macroeconomic variables: the month-on-month change in industrial production, the unemployment rate, the core consumer price index and the ISM Purchasing Managers? Index. First, we find that both the Stock and Watson and the Forni, Hallin, Lippi and Reichlin models outperform simple autoregressions for industrial production, unemployment rate and consumer prices, but that only the first model does so for the PMI. Second, we find that neither models always outperform the other. While Forni, Hallin, Lippi and Reichlin?s beats Stock and Watson?s in forecasting industrial production and consumer prices, the opposite happens for the unemployment rate and the PMI.
Additional file 2 of Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review
Creators: name: Chuang, Ya-Chi
name: Tsai, Yu-Lin
name: Lin, Tony Tung-Liang
name: Ou-Yang, Liang-Jun
name: Lee, Yu-Chun
name: Cheng, Yuan-Yang
name: Liu, Chuan-Ching
name: Hsu, Chun-Sheng
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 2: Table S2. The detailed search strategy.
sj-pdf-8-nms-10.1177_14614448211041176 – Supplemental material for Measuring coordinated versus spontaneous activity in online social movements
Creators: name: Francois, Camille
name: Barash, Vladimir
name: Kelly, John
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, sj-pdf-8-nms-10.1177_14614448211041176 for Measuring coordinated versus spontaneous activity in online social movements by Camille Francois, Vladimir Barash and John Kelly in New Media & Society
Optimization Heuristics for Determining Internal Rating Grading Scales
Creators: name: Lyra, M.
name: J. Paha, J.
name: PATERLINI, Sandra
name: Winker, P.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2009

description: Basel II imposes regulatory capital on banks related to the default risk of their credit portfolio. Banks using an internal rating approach compute the regulatory capital from pooled probabilities of default. These pooled probabilities can be calculated by clustering credit borrowers into different buckets and computing the mean PD for each bucket. The clustering problem can become very complex when Basel II regulations and real-world constraints are taken into account. Search heuristics have already proven remarkable performance in tackling this problem. A Threshold Accepting algorithm is proposed, which exploits the inherent discrete nature of the clustering problem. This algorithm is found to outperform alternative methodologies already proposed in the literature, such as standard k-means and Differential Evolution. Besides considering several clustering objectives for a given number of buckets, we extend the analysis further by introducing new methods to determine the optimal number of buckets in which to cluster banks? clients.
MPEC 2025-F95 : 2025 FC4
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2025
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2025 FC4

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Additional file 1 of Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley
Creators: name: Guo, Xiangyu
name: Sarup, Pernille
name: Jahoor, Ahmed
name: Jensen, Just
name: Christensen, Ole F.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Text S1. Predictive correlation with records on a secondary trait in the validation population. Derivations show that in this situation, predictive correlation is not an appropriate measure of the accuracy of predicted breeding values.
sj-docx-5-anp-10.1177_00048674211043788 – Supplemental material for Characterising DSCATT: A case series of Australian patients with debilitating symptom complexes attributed to ticks
Creators: name: Schnall, Jesse
name: Oliver, Georgina
name: Braat, Sabine
name: Macdonell, Richard
name: Gibney, Katherine B
name: Kanaan, Richard A
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: Neuroscience

description: Supplemental material, sj-docx-5-anp-10.1177_00048674211043788 for Characterising DSCATT: A case series of Australian patients with debilitating symptom complexes attributed to ticks by Jesse Schnall, Georgina Oliver, Sabine Braat, Richard Macdonell, Katherine B Gibney and Richard A Kanaan in Australian & New Zealand Journal of Psychiatry
Additional file 2 of Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley
Creators: name: Guo, Xiangyu
name: Sarup, Pernille
name: Jahoor, Ahmed
name: Jensen, Just
name: Christensen, Ole F.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2: Table S1. Variance components from GBLUP and MBLUP1 for malting quality traits. Table S2. Relative variance components from GBLUP, MGBLUP1 and MGBLUP for malting quality traits. Table S3. Regression coefficients of predicted breeding values from whole data on predicted breeding values from partial data, for malting quality traits using GBLUP and MGBLUP (LOLO scheme). Table S4. Regression coefficients of predicted breeding values from whole data on predicted breeding values from partial data, for malting quality traits using GBLUP and MGBLUP (LOYO scheme).
sj-docx-1-nnr-10.1177_15459683211033854 – Supplemental Material for Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions
Creators: name: Jones, Linda A. T.
name: Li, Chih-Ying
name: Weitzenkamp, David
name: Steeves, John
name: Charlifue, Susie
name: Whiteneck, Gale
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: Neuroscience

description: Supplemental Material, sj-docx-1-nnr-10.1177_15459683211033854 for Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions by Linda A. T. Jones, Chih-Ying Li, David Weitzenkamp, John Steeves, Susie Charlifue and Gale Whiteneck in Neurorehabilitation and Neural Repair
ผลของอาหารเพาะเลี้ยงต่อการเจริญเติบโตของสปอร์เฟินชายผ้าสีดาเขากวางตั้ง (Platycerium ridleyi) ในสภาพปลอดเชื้อ
Creators: name: เยาวพา จิระเกียรติกุล
name: ภาณุมาศ ฤทธิไชย
name: พรชัย หาระโคตร
name: บุญญฤทธิ์ นิลวรณ์
name: เจิมอรุณ อุทัยแจ่มศรีผล
Publisher: name: กองบริหารการวิจัย
Year: 2561
Subjects: เฟิน
ชายผ้าสีดาเขากวางตั้ง
สปอร์
โพรแทลลัส
สูตรอาหาร MS

description: วารสารวิทยาศาสตร์และเทคโนโลยี, 26, 4, 641-648
Un sistema di gestione dei servizi per il lavoro nel settore dell?assistenza familiare
Creators: name: Risso, G. L.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2016

description: La ricerca presenta l?analisi del settore del lavoro di cura da un punto di vista economico organizzativo; attraverso metodi interdisciplinari sar� analizzato uno studio di caso a livello provinciale (Provincia di Torino) con l?utilizzo di micro dati derivanti sia da indagini di tipo quantitativo che qualitativo. Nel contempo sar� sviluppata una sezione dedicata ai dati presenti in letteratura con una comparazione di casi a livello nazionale. L?analisi di questi dati permetter� di illustrare sistemi di gestione con un approccio multidimensionale, evidenziando sia la condivisione di standard di servizi che il sostegno al riconoscimento professionale del lavoro di cura.
สมรรถนะการรวมตัวในลักษณะผลผลิตฝักสดของข้าวโพดข้าวเหนียวสายพันธุ์แท้ที่ปรับตัวได้ดีในจังหวัดพะเยา
Creators: name: บุญฤทธิ์ สินค้างาม
name: วรรษมน มงคล
name: สุรศักดิ์ วัฒนพันธุ์สอน
Publisher: name: กองบริหารการวิจัย
Year: 2561
Subjects: ข้าวโพดข้าวเหนียว
พันธุ์ลูกผสม
ภาคเหนือตอนบน

description: วารสารวิทยาศาสตร์และเทคโนโลยี, 26, 4, 649-656
แนวทางในการพัฒนากระบวนการผลิตฝรั่งอินทรีย์ : กรณีศึกษาเกษตรกรผู้ปลูกฝรั่ง อำเภอสามพราน จังหวัดนครปฐม
Creators: name: รุ่งเกียรติ แก้วเพชร
name: อรประภา เทพศิลปวิสุทธิ์
name: พักตร์เพ็ญ ภูมิพันธ์
name: สมชาย ชคตระการ
Publisher: name: กองบริหารการวิจัย
Year: 2561
Subjects: เกษตรอินทรีย์
ข้อจำกัด
ผลิตฝรั่งอินทรีย์

description: วารสารวิทยาศาสตร์และเทคโนโลยี, 26, 4, 657-668
sj-pdf-2-ctj-10.1177_17407745211038512 – Supplemental material for Clinical trial site identification practices and the use of electronic health records in feasibility evaluations: An interview study in the Nordic countries
Creators: name: Laaksonen, Niina
name: Bengtström, Mia
name: Axelin, Anna
name: Blomster, Juuso
name: Scheinin, Mika
name: Huupponen, Risto
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-pdf-2-ctj-10.1177_17407745211038512 for Clinical trial site identification practices and the use of electronic health records in feasibility evaluations: An interview study in the Nordic countries by Niina Laaksonen, Mia Bengtström, Anna Axelin, Juuso Blomster, Mika Scheinin and Risto Huupponen in Clinical Trials
sj-pdf-2-bjo-10.1177_03080226211022956 – Supplemental Material for Development and Validation of Iranian Adolescent’s Participation Assessment Tool
Creators: name: Joveini, Ghodsiyeh
name: Hasani Mehraban, Afsoon
name: Zareiyan, Armin
name: Khalafbeigi, Mitra
name: Lajevardi, Laleh
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: 111702 Aged Health Care

description: Supplemental Material, sj-pdf-2-bjo-10.1177_03080226211022956 for Development and Validation of Iranian Adolescent’s Participation Assessment Tool by Ghodsiyeh Joveini, Afsoon Hasani Mehraban, Armin Zareiyan, Mitra Khalafbeigi and Laleh Lajevardi in British Journal of Occupational Therapy
Additional file 3 of Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley
Creators: name: Guo, Xiangyu
name: Sarup, Pernille
name: Jahoor, Ahmed
name: Jensen, Just
name: Christensen, Ole F.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 3: Figure S1. Proportion of total phenotypic variance explained by each component in malting quality traits.
Dynamic thermal transport in graphene-based compressible foams
Creators: name: Xiong, Zixin
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Mechanical engineering not elsewhere classified

description: Thermal management of many electronic devices is challenged by their strict optimal operating temperature range, various operation modes, and extreme environmental conditions. The design of thermal switches and thermal regulators provides possible solution. A thermal switch with high switching ratio can be an efficient conductor that dissipates heat to avoid overheating and an insulator that protects the device from degradation and damage due to low environment temperature. A thermal regulator offers continuous tuning between maximum and minimum conductance/resistance. Graphene-based compressible foams are studied in this work as a potential material in all-solid-state thermal switch/regulator with dynamic tuning. Molecular dynamics simulations are performed on graphene nanofoams to provide insight on thermal behavior under compressive loading. The switching ratio in the cross-plane thermal conductance reaches 4.6 from 25% to 60% strain. We find that, unexpectedly, the thermal conductivity decreases as the strain increases (i.e., density increases) in low strain region. This is explained using a 1D spring model, whose thermal conductance remains constant with increasing strain if no internal contact is made in the spring and therefore, the cross-plane thermal conductivity decreases. The compressible foam structure is further studied in a continuum model, again confirming the behavior of the spring model. The strain-tuned thermal properties of macroscopic graphene/PDMS composite foam are then measured using infrared microscope. It is observed that such properties are more sensitive to strain at high compression level which confirms the MD simulation results.
sj-docx-1-cnr-10.1177_10547738211044500 – Supplemental material for Early and Standard Urinary Catheter Removal After Gynecological Surgery for Benign Lesions: A Quasi-Experimental Study
Creators: name: Chen, Shu Fen
name: Wang, Peng-Hui
name: Kuo, Shu-Chen
name: Chen, Yin-Chen
name: Sia, Huei-Jhen
name: Lee, Pei-Hsuan
name: Yang, Jia-Hwa
name: Kao, Senyeong
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-cnr-10.1177_10547738211044500 for Early and Standard Urinary Catheter Removal After Gynecological Surgery for Benign Lesions: A Quasi-Experimental Study by Shu Fen Chen, Peng-Hui Wang, Shu-Chen Kuo, Yin-Chen Chen, Huei-Jhen Sia, Pei-Hsuan Lee, Jia-Hwa Yang and Senyeong Kao in Clinical Nursing Research
title: Information and Communication Technology (ICT) and Ethnic Identity Formation in China:  The Sibe People and the Concept and Practice of Minzu
Creators: name: Hao, Lei
Publisher: name: Goldsmiths, University of London
Year: 2018
Subjects: subject: Cultural studies, WeChat, Weibo, Ethnic Politics in China, Xinjian, Sibe, Network Society, Rhizome

description: The Sibe people in Northeast and Northwest China lived largely apart for over 250 years until information and communication technology (ICT) renewed regular contact. This thesis hypothesizes that the changes in Sibe interaction resulting from ICT use are redefining their ethnic identity – or minzu in Chinese. To investigate this hypothesis, data was gathered using a combination of interviews and ethnography of Sibe use of social media across platforms from Sina Weibo to QQ and WeChat. The findings contribute to research on both the concept and practice of minzu today and the role of ICT in the production of identity. They challenge essentialist explanations of the relation between ethnic minorities and the internet found in both cyber-utopian and cyber-realist literatures. First, they demonstrate that ethnicity – or minzu in Chinese – is a social construction and dynamic concept. Second, they show that ICT participates in identity construction in an interaction between users’ social and cultural needs and the characteristics of ICT itself. To support this understanding and show how different players shape ethnic identity in their use of ICT, the core chapters: trace the genealogy of minzu as a concept in relation to Sibe identity; analyze the representation of the Westward Migration of Sibe to Northwest China in official museums and unofficially online; and examine debates about how to transliterate Sibe language on the internet.
Towards Explainable Network Intrusion Detection using Large Language Models
Creators: name: Houssel, Paul R. B.
name: Singh, Priyanka
name: Layeghy, Siamak
name: Portmann, Marius
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Large Language Models (LLMs) have revolutionised natural language processing tasks, particularly as chat agents. However, their applicability to threat detection problems remains unclear. This paper examines the feasibility of employing LLMs as a Network Intrusion Detection System (NIDS), despite their high computational requirements, primarily for the sake of explainability. Furthermore, considerable resources have been invested in developing LLMs, and they may offer utility for NIDS. Current state-of-the-art NIDS rely on artificial benchmarking datasets, resulting in skewed performance when applied to real-world networking environments. Therefore, we compare the GPT-4 and LLama3 models against traditional architectures and transformer-based models to assess their ability to detect malicious NetFlows without depending on artificially skewed datasets, but solely on their vast pre-trained acquired knowledge. Our results reveal that, although LLMs struggle with precise attack detection, they hold significant potential for a path towards explainable NIDS. Our preliminary exploration shows that LLMs are unfit for the detection of Malicious NetFlows. Most promisingly, however, these exhibit significant potential as complementary agents in NIDS, particularly in providing explanations and aiding in threat response when integrated with Retrieval Augmented Generation (RAG) and function calling capabilities.
A novel estimation method of total flavonoids in an edible medicinal mulberry leaves by ultrasound-assisted hydroalcohol-acid extraction and HPLC-DAD
Creators: name: Zhao, Jin-Ge
name: Zhang, Yu-Qing
Publisher: name: Journal of Applied Botany and Food Quality
Year: 2018

description: Mulberry leaves have been widely used to produce various health products. In this paper, an efficient procedure of ultrasound-assisted hydroalcohol-acid extraction (UAHAE) was established to estimate the total flavonoids content in mulberry leaves by quantifying their resulting aglycones (quercetin and kaempferol) using HPLC-DAD. Effective hydrolysis of glycosides to aglycones was achieved in an ethanol-HCl-water (7/2/1, v/v/v) solution at 75°C by ultrasound (40 kHz) for 60 min. The average contents of quercetin and kaempferol were 7.12 mg/g and 2.13 mg/g, respectively, in the variety of cultivar MC308, and their recoveries were 105.48% and 105.81%, respectively. The total flavonoid content of most varieties was between 4-10 mg/g, accounting for 80% in 86 species of mulberry leaves. With the increase in leaf maturity, the general trend of the change in flavonoid content was a decrease at first and then an increase. The highest total flavonoid content in commercial mulberry tea (CT 2) is 4.76 mg/g, and the DPPH radical scavenging activities were similar to the distribution of total flavonoids measured by UAHAE in three types of mulberry tea. These finding provide a basis for industrial-scale manufacturing of edible medicinal mulberry leaf products.
description: Journal of Applied Botany and Food Quality, Vol 91 (2018): Journal of Applied Botany and Food Quality
Institutions, Politics and the Corporate Economy
Creators: name: A. Colli
name: RINALDI, Alberto
Publisher: name: Quaderni del Dipartimento di Economia Politica e Statistica, Universit� degli Studi di Siena
Year: 2012

description: Over the century and a half since its unification, Italy caught up with the most advanced economies. Such a result was achieved in the presence of an industrial structure which is in many respects unique in international perspective and characterized by a dominance of small firms and a marginal role of large firms. In the last twenty years, however, this pattern seems to have come to a halt. In this paper we explore the determinants of such a dynamic in the long run. The focus will be on the role played by institutions in forging an array of industrial policies in place over the last 150 years which determined the process of convergence and, more recently, of divergence in big business, and the outstanding, constant presence of a small business sector far beyond the average of the most advanced countries among which Italy is still considered to be.
Additional file 3 of Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review
Creators: name: Chuang, Ya-Chi
name: Tsai, Yu-Lin
name: Lin, Tony Tung-Liang
name: Ou-Yang, Liang-Jun
name: Lee, Yu-Chun
name: Cheng, Yuan-Yang
name: Liu, Chuan-Ching
name: Hsu, Chun-Sheng
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 3: Table S3. Reasons for exclusion (n=96).
THE DEVELOPMENT ON READING AND ANALYTICAL THINKING ACHIEVEMENT BY USING FABLES OF PRATHOMSUKSA 3 STUDENTS, BAN SOK COMMUNITY SCHOOL, KHON SAWAN DISTRICT, CHAIYAPHUM PROVINCE
Creators: name: Jutarat Srisawang
Publisher: name: ห้างหุ้นส่วนจำกัด นวัตกรรมการเรียนรู้สร้างสรรค์
Year: 2024
Subjects: achievement
reading and analytical thinking
fables

description: Journal of Research and Innovation for Sustainability (JRIS), 1, 4, 20-35
Predicting Orthognathic Surgery Necessity in Class III Malocclusion Using Deep Learning
Creators: name: Mariani, Alice Vittoria
Publisher: name: University of Illinois Chicago
Year: 2025

description: This thesis explores the use of deep learning, specifically Convolutional Neural Networks (CNNs), to enhance the diagnosis and treatment planning for Class III malocclusion. This condition, affecting approximately 5\% of the global population, is marked by a skeletal discrepancy between the upper and lower jaws, often requiring orthognathic surgery or orthodontic interventions. Current clinical approaches often depend on subjective interpretations of radiographic and photographic images, making accurate diagnosis challenging.

CNNs offer the potential to improve diagnostic precision by automatically identifying patterns in complex image data, providing a more objective method. The study used a dataset of radiographs, profile photographs, and intraoral images of Class III malocclusion patients to train CNN models, particularly based on the ResNet architecture. These models were optimized through data augmentation and hyperparameter tuning to increase accuracy.

Results demonstrated that CNNs significantly exceeded expectations, with high accuracy in distinguishing between patients requiring surgery and those manageable with orthodontic treatment alone. Additionally, CNNs reduced the time needed for image analysis and decreased the subjectivity of manual diagnosis. ResNet models, known for their ability to handle deep and complex learning tasks, were particularly effective.

A key aspect of this research was comparing CNNs with traditional machine learning techniques. While traditional models like Support Vector Machines (SVM) and Random Forests performed well, they required manual feature extraction, which CNNs avoided by learning directly from images. This automated approach streamlined the diagnostic process.

The findings underscore the potential of CNNs to transform orthodontic care by providing more accurate, consistent, and efficient diagnostic tools for Class III malocclusion. The study also acknowledges some limitations, particularly regarding the size and quality of available datasets, which may affect the generalizability of the results.

In conclusion, this thesis highlights CNNs as a promising tool for diagnosing Class III malocclusion, offering improvements in diagnostic accuracy and efficiency. The integration of CNNs into clinical practice could enhance treatment outcomes and support more reliable, data-driven decision-making in orthodontics.
title: IAB-Prognose 2025: Zwischen Schwächephase und Investitionsimpulsen
Creators: name: Gartner, Hermann
name: Hellwagner, Timon
name: Hummel, Markus
name: Hutter, Christian
name: Lochner, Benjamin
name: Wanger, Susanne
name: Weber, Enzo
name: Zika, Gerd
Publisher: name: Institut für Arbeitsmarkt und Berufsforschung
publisherIdentifier: https://ror.org/02qcqwf93
publisherIdentifierScheme: ROR
Year: 2025
Subjects: Bruttoinlandsprodukt
Konjunkturprognose
Erwerbspersonenpotenzial
Arbeitskräftebedarf
Wirtschaftsentwicklung
Beschäftigungsentwicklung
sektorale Verteilung
Arbeitsmarktprognose
Arbeitslosigkeit
Krankenstand

description: IAB-Kurzbericht, 2025-03
description: Die deutsche Wirtschaft und der Arbeitsmarkt stecken seit drei Jahren in einer Schwächephase fest. Mit Fiskalpaketen in erheblichem Umfang wird es aber eine konjunkturelle Belebung geben. Der Kurzbericht gibt einen Ausblick auf die Entwicklung im Jahr 2025: Das Bruttoinlandsprodukt wird um 0,2 Prozent steigen, der Arbeitsmarkt wird durch die schwache Konjunktur und die Transformationskrise beeinträchtigt. Im Jahresdurchschnitt sinkt die Zahl der Erwerbstätigen 2025 leicht um 40.000 Personen, die sozialversicherungspflichtige Beschäftigung steigt jedoch um 60.000 Personen. Die Zahl der Arbeitslosen nimmt um 140.000 zu." (Autorenreferat, IAB-Doku)
NON-STATIONARY MODELING OF ROAD-CURVE CRASH FREQUENCY WITH GEOGRAPHICALLY WEIGHTED REGRESSION
Creators: name: Wang, Ce
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Geospatial information systems and geospatial data modelling

description: Vehicle crashes on roads are caused by many factors. However, the influence of these factors is not necessarily homogenous across locations, which is a challenge for non-stationary modeling approaches. To address this problem, this thesis not only evaluated the safety performance of high friction surface treatment (HFST) installations throughout Indiana using empirical Bayes (EB) analysis, but also adopted two types of methods that allowed the parameters to fluctuate among observations (the random parameter approach and the geographically weighted regression or GWR approach). With road curvature, curve length, pavement friction, and traffic volume as the independent variables, this thesis modeled vehicle crash frequencies using two non-spatial models (the negative binomial (NB) model and the random parameter negative binomial (RPNB)), as well as three spatial models (the GWR approach including geographically weighted Poisson regression (GWPR), the geographically weighted negative binomial regression (GWNBR), and the global geographically weighted negative binomial regression (GWNBRg). These models then were calibrated at the macro-level and micro-level using a dataset of 9,415 horizontal curve segments with a total length of 1,545 kilometers for a period of three years (2016-2018) throughout Indiana. The results revealed that the GWR approach successfully captured spatial heterogeneity and thereby significantly outperformed the conventional non-spatial approach. Among the GWR models, the GWNBR model performed better for the Akaike Information Criterion (AICc) and the spatial distribution of the coefficients. This thesis also found that pavement friction and curve length had less influence on crash frequency in forest areas than in plain areas. Furthermore, pavement friction tended to have the most considerable impact on crash frequency in unpopulated areas with sparse curve distributions. It is expected the findings of the thesis can be used for Indiana highway curve safety improvement and other transportation applications that need to consider spatial heterogeneity.
ORGANIZING ACTIVITIES TO ENHANCE LEARNING EXPERIENCES FOR EARLY CHILDHOOD DEVELOPMENT IN THE 21st CENTURY: CRITICAL THINKING SKILLS
Creators: name: Kamonwan Sukato
Publisher: name: ห้างหุ้นส่วนจำกัด นวัตกรรมการเรียนรู้สร้างสรรค์
Year: 2024
Subjects: Early Childhood
Activities to Enhance Learning Experiences
Critical Thinking Skills in the 21st Century

description: Journal of Research and Innovation for Sustainability (JRIS), 1, 5, 1-11
sj-docx-3-nnr-10.1177_15459683211033854 – Supplemental Material for Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions
Creators: name: Jones, Linda A. T.
name: Li, Chih-Ying
name: Weitzenkamp, David
name: Steeves, John
name: Charlifue, Susie
name: Whiteneck, Gale
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: Neuroscience

description: Supplemental Material, sj-docx-3-nnr-10.1177_15459683211033854 for Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions by Linda A. T. Jones, Chih-Ying Li, David Weitzenkamp, John Steeves, Susie Charlifue and Gale Whiteneck in Neurorehabilitation and Neural Repair
Ultrasound guided compressibility of the lower leg anterior tibial muscle compartment: a feasibility study
Creators: name: van Heeswijk, Kay
name: Janssen, Loes
name: Heijmans, Margot Helena
name: Scheltinga, Marc Reinoud Maria
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Some young individuals participating in sports activities may encounter lower leg muscle pain and tightness, potentially indicating chronic exertional compartment syndrome (CECS). While muscle pressure measurement is typically recommended for diagnosis, it is invasive and associated with low sensitivity and specificity. Thus, there is a need for novel diagnostic approaches. This feasibility study aims to assess whether an ultrasound-guided technique can effectively measure the compressibility of the anterior tibial muscle compartment, focusing on optimal leg positioning and identifying reliable external and internal anatomical landmarks. The compressibility of the anterior tibial muscle compartment was evaluated using ultrasound images obtained at 10 mmHg and 80 mmHg external pressure, with the drop in compartment thickness used to calculate the compressibility ratio. Measurements were conducted in various leg positions and utilizing different external and internal landmarks. Studies in healthy volunteers showed that knee and heel support positioning, measuring at the leg’s widest circumference, and using the interosseous membrane as an internal landmark yielded the lowest measurement variability with an intra class correlation of .977 (.764–1.000; 95%-confidence interval). These findings suggest that ultrasound-guided techniques can feasibly determine the compressibility ratio of the anterior tibial muscle compartment, providing valuable insights for standardized protocols in future studies on suspected cases of chronic exertional compartment syndrome.
sj-pdf-2-imr-10.1177_03000605211031063 - Supplemental material for Effect of bioimpedance-defined overhydration parameters on mortality and cardiovascular events in patients undergoing dialysis: a systematic review and meta-analysis
Creators: name: Wang, Yajie
name: Gu, Zejuan
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Health and Community Services
subject: Cardiology
subject: Dentistry not elsewhere classified
subject: Emergency Medicine
subject: Endocrinology
subject: Geriatrics and Gerontology
subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Nursing not elsewhere classified
subject: Nutrition and Dietetics not elsewhere classified
subject: Oncology and Carcinogenesis not elsewhere classified
subject: Orthopaedics
subject: Sports Medicine
subject: Otorhinolaryngology
subject: Aged Health Care
subject: Paediatrics
subject: Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: Psychology not elsewhere classified
subject: Psychiatry (incl. Psychotherapy)
subject: Public Health and Health Services not elsewhere classified
subject: Respiratory Diseases
subject: Sociological Methodology and Research Methods
subject: Surgery

description: Supplemental material, sj-pdf-2-imr-10.1177_03000605211031063 for Effect of bioimpedance-defined overhydration parameters on mortality and cardiovascular events in patients undergoing dialysis: a systematic review and meta-analysis by Yajie Wang and Zejuan Gu in Journal of International Medical Research
sj-pdf-1-ajs-10.1177_03635465211038332 – Supplemental material for Effects of Pubertal Maturation on ACL Forces During a Landing Task in Females
Creators: name: Nasseri, Azadeh
name: Lloyd, David G.
name: Minahan, Clare
name: Sayer, Timothy A.
name: Paterson, Kade
name: Vertullo, Christopher J.
name: Bryant, Adam L.
name: Saxby, David J.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery

description: Supplemental material, sj-pdf-1-ajs-10.1177_03635465211038332 for Effects of Pubertal Maturation on ACL Forces During a Landing Task in Females by Azadeh Nasseri, David G. Lloyd, Clare Minahan, Timothy A. Sayer, Kade Paterson, Christopher J. Vertullo, Adam L. Bryant and David J. Saxby in The American Journal of Sports Medicine
Natural Language Outlines for Code: Literate Programming in the LLM Era
Creators: name: Shi, Kensen
name: Altınbüken, Deniz
name: Anand, Saswat
name: Christodorescu, Mihai
name: Grünwedel, Katja
name: Koenings, Alexa
name: Naidu, Sai
name: Pathak, Anurag
name: Rasi, Marc
name: Ribeiro, Fredde
name: Ruffin, Brandon
name: Sanyam, Siddhant
name: Tabachnyk, Maxim
name: Toth, Sara
name: Tu, Roy
name: Welp, Tobias
name: Yin, Pengcheng
name: Zaheer, Manzil
name: Chandra, Satish
name: Sutton, Charles
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We propose using natural language outlines as a novel modality and interaction surface for providing AI assistance to developers throughout the software development process. An NL outline for a code function comprises multiple statements written in concise prose, which partition the code and summarize its main ideas in the style of literate programming. Crucially, we find that modern LLMs can generate accurate and high-quality NL outlines in practice. Moreover, NL outlines enable a bidirectional sync between code and NL, where a developer can change either code or NL and have the LLM automatically update the other. We discuss many use cases for NL outlines: they can accelerate understanding and navigation of code and diffs, simplify code maintenance, augment code search, steer code generation, and more. We then propose and compare multiple LLM prompting techniques for generating outlines and ask professional developers to judge outline quality. Finally, we present two case studies applying NL outlines toward code review and malware detection.
description: Accepted to FSE'25 Industry Track
Effects of cystic fibrosis transmembrane conductance regulator potentiators on clinical outcomes of chronic obstructive pulmonary disease: a systematic review and meta-analysis
Creators: name: Yan, Xi
name: Deqing, Quzhen
name: Yu, Feng
name: Wang, Tao
name: Xu, Dan
name: Wen, Fuqiang
name: Chen, Jun
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Biological Sciences not elsewhere classified
Science Policy

description: Excessive mucus secretion is pivotal in chronic obstructive pulmonary disease (COPD) pathophysiology, particularly in chronic bronchitis phenotypes. Cystic fibrosis transmembrane conductance regulator (CFTR) has been implicated in COPD-related hypersecretion with acquired dysfunction, and emerged as a therapeutic target. However, the clinical efficacy of CFTR-potentiators in COPD remains controversial. We searched PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal (CSTJ), and Wanfang Database to retrieve eligible studies published before 28 May 2024. A total of 1172 COPD patients were included, meta-analysis showed that CFTR-potentiators significantly increased forced expiratory volume in 1 s (FEV1) and decreased sweat chloride and fibrinogen levels, with moderate-to-high quality evidence. However, no significant effects were observed on the percentage of detected FEV1 to predicted FEV1 (FEV1% predicted), forced vital capacity (FVC), COPD assessment test (CAT) score, St. George’s Respiratory Questionnaire (SGRQ) score, or acute exacerbation times, with low-to-moderate quality evidence. Our meta-analysis demonstrated CFTR-potentiators’ potential efficacy in increasing FEV1, decreasing sweat chloride and fibrinogen levels, despite limited impacts on FEV1% predicted, FVC, CAT score, SGRQ score, and acute exacerbations, underscoring the necessity for future research to evaluate its effects on mucus hypersecretion, acute exacerbations, hospitalizations, and mortality in COPD management. Review registration PROSPERO Identifier: CRD42024538708