bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skin appendage abnormalities in hypothyroidism: understanding and management
Authors: Billewicz Marta , Turek Aleksandra , Makowska Karolina , Lis Laura , Marczyk Aleksandra , Popiołek Adam , Pietrzykowska Julia 
Published: June 2024

Introduction and purpose
Thyroid ailments are frequently encountered in medical practice, often intertwined with a variety of conditions that may or may not share common underlying factors. Among the organs profoundly influenced by these disorders is the skin, which manifests a diverse array of clinical presentations. However, the exact changes in the structure of skin appendages have not been well studied. Changes in hair structure or nail findings may be helpful in early diagnosis of thyroid disorders and therefore are important for dermatologist education. Hair loss can be a very uncomfortable and embarrassing ailment. Many diseases, nutritional deficiencies, stress and other factors can affect the hair condition and even induce its falling out. This review seeks to explore the numerous skin disorders arising directly or indirectly from thyroid irregularities, offering an updated understanding of the interplay between thyroid function and skin health.
State of Knowledge
It is well-established in scientific literature that thyroid gland disorders, particularly hypothyroidism, induce metabolic deceleration, influencing the inadequate nourishment of skin appendages, resulting in skin dryness and fragility. Patients commonly report pallor, cold intolerance, and deteriorating hair and nail quality.
Conclusion
We noticed strong correlation between hair loss and the autoimmune process during the dysfunction of thyroid. Euthyroidism plays an important role in hair cycle and any changes can disturb its proper development. In Hashimoto disease elevated levels of antibodies negatively influence hair cycle by excessively inducing telogen phase. Moreover, the blood vessels of the skin constrict disrupting the blood flow which affects hair follicles.
Refractory depressive disorder as the first manifestation of adolescent Sjögren’s syndrome, successfully treated with rituximab
Authors: El-Ouakhoumi Amal , Joulal Hajar , Yousfi Jaouad , Benjilali Laila , Zahlane Mouna , Essaadouni Lamiaa 
Published: June 2024

Background: The psychiatric manifestations of Sjögren’s syndrome are often overlooked despite their prevalence. They can be revelatory of the disease and include anxiety, depression, dementia and, rarely, psychosis. Case description: We report a case of 18-year-old female in whom a major depressive syndrome revealed primary Sjögren’s disease, with a favourable outcome after treatment with rituximab. Conclusion: The diagnostic of Sjögren’s syndrome should be considered in patients who present with unexplained and refractory neuropsychiatric symptoms, even in the absence of sicca symptoms.
Learning Pathways in Dutch VET Compared in Terms of Curriculum Design Aspects and Students' Acquired VET Diplomas and Transitions to Higher VET Levels
Authors: Biemans Harm , Klatter Ellen , Mariën Hans , Van der Meijden Arjan , Kreutz Frank 
Published: June 2024

Purpose: During the last decade, new continuing learning pathways have been designed and implemented in the Dutch Vocational Education and Training (VET) column aiming to foster students' transitions between successive educational levels. Prototypical examples of such continuing learning pathways are the Green Lyceum (GL) and the Technical Talent Development programme (TTD). In the present exploratory study, GL and TTD were compared in terms of curriculum design aspects and students' acquired VET diplomas and transitions to higher VET levels.
Methods: Ten curriculum design aspects of GL and TTD were described through curriculum description forms and focus group discussions to be able to determine similarities and differences between both learning trajectories. Moreover, acquisition of VET diplomas and transitions to higher VET levels of students from both programmes were compared.
Findings: The ultimate goal of GL was to promote student transitions to higher professional bachelor (HBO) programmes while TTD mainly intended to increase student numbers in the technical domain at the secondary VET level. For GL, a new and integrated VET curriculum was built with specific ingredients to prepare students for the HBO level. For TTD, the contents of the regular VET programmes were roof tile stacked in an accelerated curriculum with a stronger focus on vocation-oriented assignments in the technical domain.
Conclusion: If the ultimate goal of a continuing learning pathway is to promote students' transitions to higher VET levels, curriculum design aspects as represented in GL seem more effective. However, if the focus is on promoting students' diploma acquisition at lower VET levels for specific sectors, curriculum design aspects as represented in TTD seem more effective.
Deep learning model for fiber optic distributed acoustic sensing seismic data compression based on autoencoder and recurrent neural networks
Authors: Wang Honghui , Yang Xike , Zeng Shangkun , Liu Tong , Wang Xiang , Wang Yiru 
Published: June 2024

Because of the extremely high sampling rate of fiber optic distributed acoustic sensing (DAS) equipment, the amount of DAS seismic data collected is enormous, which poses great challenges to the transmission and storage of DAS seismic data. Therefore, it is essential to study the compression methods of DAS seismic data. Existing data compression methods such as wavelet transform, cosine transform, and convolutional autoencoder (CAE) still have room for improvement in the compression performance and compression ratio (CR). Thus, we have proposed what we believe to be is a novel deep learning model called the recurrent autoencoder (RAE) for high-performance compression of DAS seismic data. Under different CRs, we have designed performance evaluation experiments for RAE models based on different RNN modules with different loss functions. When the CR of the RAE model is 8, the signal-to-noise ratio (SNR) of the reconstructed DAS seismic data reaches 40.60 dB, which is better than that of the CAE’s 11.58 dB. The ultimate CR was increased to 512 without reducing the compression quality, which is 4.12 times higher than the CAE model. The LSTM with a weighted loss function improves the SNR to 43.66 dB at a CR of 8, which is 3.06 dB higher than the LSTM with additive loss function. The results show that the RAE model proposed with a weighted loss function in this paper has excellent DAS seismic data compression performance and provides a high CR, which can be widely applied in large-scale DAS seismic data compression.
Sensitivity enhanced electric field sensing with etched tilted fiber Bragg grating and a liquid crystal
Authors: Yang Hongkun , Wang Chao , Jin Guangyong , Yang Shiliang , Xin Chao , Chen Hongjie , Liang Zijun 
Published: June 2024

A temperature-insensitive electric field sensor utilizing HF-etched tilted gratings in
a high refractive index solution (E7 liquid crystal) is proposed. The
electric field causes a change in the original arrangement of
molecules, thereby altering the refractive index of liquid crystals.
This study demonstrates that a combination of liquid crystal and
HF-etched tilted gratings effectively excites the cladding leakage
mode of the tilted grating. Compared to a non-etched tilted fiber
Bragg grating, the proposed sensor exhibits higher sensitivity to
electric fields. The experimental results show that the electric field
sensitivity of a tilted grating with a diameter of 17.7 µm is
0.024 dB/(kV/cm). The influence of external temperature on the
electric field sensor of this design is relatively small, only showing
a sensitivity of 0.003 dB/°C. This characteristic is very
attractive in practical applications such as industry and
healthcare.
Effizienter Datenmanagement-Workflow zur Analyse eines PtGtX-Systems basierend auf Open-Source-Software und Low-Cost-Hardware
Authors: Clees Tanja , Bareev-Rudy Michael , Pfennig Malte 
Published: June 2024

ZusammenfassungUm ein Power-to-Gas-to-X-System effizient zu optimieren, kann ein digitaler Zwilling als Simulationsmodell auf Basis experimenteller Daten für ein Laborsystem erstellt und entsprechend verändert werden. Darüber hinaus müssen für die Überwachung des realen Systems bzw. die Online-Simulation kontinuierlich Daten aus Experiment und Simulation erfasst und verarbeitet werden. Insgesamt ist ein effizienter Datenmanagement-Workflow erforderlich.In dieser Arbeit wird ein Workflow aus freier, etablierter und skalierbarer Open-Source-Software für die vorliegende Anwendung skizziert und insbesondere ein geeignetes Datenmodell entwickelt, implementiert und seine ressourcensparende Realisierung auf kostengünstiger Hardware gezeigt. Abhängig von der Datenmodellierung kann preiswerte und alte Hardware für die geforderte Aufgabe ausreichend sein.Mit Apache NiFi wird ein visueller Workflow zum Abrufen und Verarbeiten von Daten aus verschiedenen Quellen geschaffen. Die extrahierten Daten werden in Apache Cassandra aggregiert, einem Datensystem, das aufgrund seiner Leistung, Skalierbarkeit und Haltbarkeit häufig verwendet wird.Grafana wird zur visuellen Überwachung des Systems eingesetzt. Das gesamte System wird mit Hilfe von Docker-Containern aufgebaut zum Zwecke der Reproduzierbarkeit und effizienten Bereitstellung.Benchmarks und realistische Hardware- und Datenmodellierungskonfigurationen demonstrieren die Leistung der vorgeschlagenen Lösung.
Zur Nutzung von Digitalen Zwillingen zur Entwicklung von Metaverse-Anwendungen
Authors: Rührlinger Christian , Stary Christian , Jost Thomas Ernst 
Published: June 2024

ZusammenfassungDas Metaverse stellt ein immersives Konzept für die Bereitstellung von Diensten in virtuellen Räumen bereit, basierend auf einer Vielzahl von Technologien, wie jenen der erweiterten Realität. Aufgrund des Potentials zur Unterstützung von Geschäftsfällen, gewinnt es zunehmend an Bedeutung für Organisationen. In diesem Kontext kann die humanzentrierte Entwicklung und der operative Einsatz von Metaverse-Anwendungen mittels digitaler Zwillingsansätze unterstützt werden. Der vorliegende Beitrag untersucht diesbezüglich bestehende Ansätze. Ziel ist es, Nutzer*innen und Entwickler*innen in der stakeholdergerechten und damit effektiven Nutzung von digitalen Zwillingstechnologien zum Zwecke der Entwicklung und des Einsatzes von Metaverse-Anwendungen anleiten zu können. Die dargestellten Erkenntnisse basieren auf einer Analyse etablierter Konzeptionen hinsichtlich ihrer Tauglichkeit, unter Berücksichtigung der einzigartigen Anforderungen, welche sich durch Metaverse-Anwendungen ergeben. Unter Zugrundelegung einer adaptierten Konzeptbildung des digitalen Zwillings, wird dieser nicht ausschließlich als Abbildung der physischen Welt betrachtet, sondern es werden auch Prozesse, die exklusiv in digitaler Form ablaufen, integriert. Wir stellen hierzu einen entsprechenden Entwicklungs- und Einsatzrahmen vor.
Associations between disordered eating behaviour and sexual behaviour amongst emerging adults attending a tertiary education institution in Coastal Kenya
Authors: Chea Stevenson K. , Kazienga Adama , Oyugi Eunice A. , Menza Isaac , Nasambu Carophine , Ibrahim Fauz , Abdullahi Osman A. , Hassan Amin S. , Abubakar Amina , Michielsen Kristien , Abbeddou Souheila 
Published: June 2024

Background
Sexual behavior (SB) is a well-documented pathway to HIV acquisition in emerging adults and remains common amongst African emerging adults. Previous research in high-income countries indicates a correlation between disordered eating behavior (DEB) and engaging in sexual behaviors. We aimed to describe the relationship between DEB and SB amongst emerging adults attending a tertiary educational institution at the Kenyan Coast.

Methods
We applied a cross-sectional design nested in a young adults’ cohort study. Eligibility included sexually active emerging adults aged 18–24 years. Three DEBs (emotional, restrained and external eating) were assessed using the Dutch Eating Behavior Questionnaire and analysed using exploratory factor analysis. Seven SB indicators were assessed: non-condom use, casual sex, multiple sex partners, transactional sex, group sex, age-disparate relationship and anal sex, and grouped into low vs. high SB using latent class analysis. Logistic regression was used to assess the association between DEB and SB.

Results
Of 273 eligible participants (female, n = 110 [40.3%]), the mean of emotional, restrained and external eating was 1.9 [0.6], 2.0 [0.6] and 3.0 [0.5] respectively. Overall, 57 (20.9%) were grouped into the latent high SB class. Emotional (Adjusted odds ratio, AOR [95% confidence interval, CI]: 1.0 [0.9–1.0], p = 0.398), restrained (AOR, 1.0 [CI: 0.9–1.1], p = 0.301) and External (AOR, 1.0 [CI: 0.8–1.2], p = 0.523) eating were not independently associated with latent high SB.

Conclusion
There was no significant association between DEB and SB in this study sample. In low- and middle-income countries like Kenya, interventions targeted at DEB among emerging adults towards controlling SB are unnecessary.
Assessment of long-term stored specimens in the Siriraj Hospital colorectal cancer biobank for RNA sequencing and profiling
Authors: Suwatthanarak Thanawat , Acharayothin Onchira , Thanormjit Kullanist , Chaiboonchoe Amphun , Suwatthanarak Tharathorn , Niyomchan Apichaya , Pithukpakorn Manop , Tanjak Pariyada , Chinswangwatanakul Vitoon 
Published: June 2024

Abstract

Objectives
Biobanks play an important role in advancing cancer research, yet concerns persist regarding the molecular integrity of long-term stored samples. This study assessed fresh frozen (FF) tissues and formalin-fixed paraffin-embedded (FFPE) tissues from the Siriraj Hospital colorectal cancer (CRC) biobank collected during two distinct periods (2011–2012 and 2020–2021).

Methods
In 2022, FF and FFPE primary cancer tissues from 75 CRC patients were evaluated. RNA sequencing (RNA-Seq) analyzed comprehensive gene expression profiles in FF tissues preserved at −80 °C, while nCounter profiling elucidated cancer-specific RNA transcripts in FFPE tissues stored at ambient temperature. Comparative analyses were conducted between specimens from 2011 to 2012 and 2020–2021.

Results
The FF tissues stored for approximately 10.5 years were well-suited for RNA-Seq compared to the intact tissues preserved for 1.5 years. Despite consistencies in RNA quantity, RNA integrity, amount of sequencing reads, and CRC gene signature, gene enrichment analysis revealed the decreased ribosome biogenesis, spliceosome and antifolate resistance pathways in the 2011–2012 group. Moreover, the FFPE tissues also showed no alteration in RNA quantity between the two periods, and the nCounter profiling demonstrated comparable CRC-specific gene counts in spite of the significant reduction of raw counts in the 2011–2012 group.

Conclusions
We report that FF tissues from CRC patients, stored for 10 years, are viable for whole transcriptome RNA-Seq, despite altered pathways such as ribosome biogenesis, spliceosome, and antifolate resistance. Moreover, 10-year-stored FFPE CRC tissues remain suitable for specific RNA profiling using the nCounter pan-cancer panel, despite a significant reduction in raw counts. These findings underscore the enduring contribution of biobanks to molecular research, highlighting their value a decade post-collection.
Performance of ChatGPT and Google Translate for Pediatric Discharge Instruction Translation
Authors: Brewster Ryan C.L. , Gonzalez Priscilla , Khazanchi Rohan , Butler Alex , Selcer Raquel , Chu Derrick , Aires Barbara Pontes , Luercio Marcella , Hron Jonathan D. 
Published: June 2024

BACKGROUND AND OBJECTIVESPatients who speak languages other than English face barriers to equitable healthcare delivery. Machine translation systems, including emerging large language models, have the potential to expand access to translation services, but their merits and limitations in clinical practice remain poorly defined. We aimed to assess the performance of Google Translate and ChatGPT for multilingual translation of pediatric discharge instructions.METHODSTwenty standardized discharge instructions for pediatric conditions were translated into Spanish, Brazilian Portuguese, and Haitian Creole by professional translation services, Google Translate and ChatGPT-4.0, and evaluated for adequacy (preserved information), fluency (grammatical correctness), meaning (preserved connotation), and severity (clinical harm), along with assessment of overall preference. Domain-level ratings and preferred translation source were summarized with descriptive statistics and compared with professional translations.RESULTSGoogle Translate and ChatGPT demonstrated similar domain-level ratings to professional translations for Spanish and Portuguese. For Haitian Creole, compared with both Google Translate and ChatGPT, professional translations demonstrated significantly greater adequacy, fluency meaning, and severity scores. ChatGPT (33.3%, P &lt; .001) and Google Translate (23.3%, P = .024) contained more potentially clinically significant errors (severity score ≤3) for Haitian Creole than professional translations (8.3%). Professional Haitian Creole (48.3%) and Portuguese (43.3%), but not Spanish (15%), translations were most frequently preferred among translation sources.CONCLUSIONSMachine translation platforms have comparable performance to professional translations for Spanish and Portuguese but shortcomings in quality, accuracy, and preference persist for Haitian Creole. Diverse multilingual training data are needed, along with regulations ensuring safe and equitable applications of machine translation in clinical practice.
Managed Wetlands for Climate Action: Potential Greenhouse Gas and Subsidence Mitigation in the Sacramento–San Joaquin Delta
Authors:   San Francisco Estuary Institute - Aquatic Science Center, Vaughn Lydia , Deverel Steven ,   HydroFocus, Inc., Panlasigui Stephanie ,   San Francisco Estuary Institute - Aquatic Science Center, Drexler Judith ,   US Geological Survey, Olds Marc ,   HydroFocus, Inc., Díaz José ,   HydroFocus, Inc., Harris Kendall ,   San Francisco Estuary Institute - Aquatic Science Center, Morris James ,   University of South Carolina, Grenier J. Letitia ,   San Francisco Estuary Institute - Aquatic Science Center, Robinson April ,   San Francisco Estuary Institute - Aquatic Science Center, Ball Donna ,   San Francisco Estuary Institute - Aquatic Science Center
Published: June 2024

In the Sacramento–San Joaquin Delta (Delta), widespread drainage of historical wetlands has led to extensive subsidence and peat carbon losses, as well as high ongoing greenhouse gas (GHG) emissions. Large-scale wetland restoration and conversion to rice fields has the potential to mitigate these effects while conferring flood protection and creating habitat for wetland species. To explore the scale of these potential benefits, this study evaluated the effects of seven Delta-wide land-use scenarios on carbon stocks, land-surface elevation, GHG emissions, and habitat. Peat mapping and data from peat cores indicate that soil carbon stocks have decreased between the early 1800s and 2010s from 288 ± 15 to 145 ± 14 million metric tons (megatonnes; Mt) of carbon (C). If existing land uses continue, the Delta could lose an additional 8.3 Mt C during the coming 40 years, equal to average GHG emissions of 1.2 Mt CO2 equivalents (CO2e) yr-1. Future restoration and rice-farming scenarios indicate that wetland restoration could theoretically halt GHG emissions, converting the Delta from a large GHG source to a weak net source or sink. Across three future scenarios based on existing restoration targets, wetland creation and conversion to rice fields reduced GHG emissions by 0.39 to 0.67 Mt CO2e yr-1, with per-area benefits of 16 to 28 metric tons (tonnes; t) CO2e per hectare (ha) yr-1. Differences among scenarios in extents of wetland types influenced their relative benefits for different management goals. Tidal restoration and conversion to rice fields enhanced habitat benefits and offered a source of agricultural income, but with reduced GHG mitigation compared with conversion to peat-building wetlands. This highlights the importance of clear objectives when developing land-use plans. A strategic land-management portfolio that includes rice fields and both impounded and tidal wetlands could be designed to provide GHG and subsidence mitigation while offering a diverse suite of benefits for ecosystems and people.
Explicitation & implicitation revisited: Towards a more defined cognitive relevance-theoretic model
Authors: Kotait Radwa Mohammad Mohammad 
Published: June 2024

AbstractExplicitationmight be the most discussed phenomenon in Translation Studies history, and yet the most elusive of them all. This study aims to contribute to the literature on the cognitive relevance-theoretic approach to explicitation and implicitation, adopting the view that translation is a type of pragmatically communicative and interpretive act. First, the study presents a brief critical overview of selected existing accounts of explicitation and implicitation to show how the definitions are riddled with circularity and the classifications with lack of conformity. Second, it addresses the existing relevance-theoretic models in an attempt to reconcile their classifications in a unified, applicable relevance-theoretic model of analysis. It puts to good use the fuller account of the range of pragmatic processes widely discussed in Relevance Theory; namely, disambiguation, reference assignment, free enrichment, higher-level explicature and ad hoc concept. The corpus of the study is selected articles fromNature, as representative of scientific and technical discourse, in English and their translations into Arabic as published in the Arabic edition ofNature. The study leans upon Gutt's Optimal Relevance theory and Pym's Risk Management hypothesis to explain the outcomes of the analysis.
Aesthetic Plastic Surgery Issues During the COVID-19 Period Using Topic Modeling
Authors: Yoon Sanghoo , Kim Young A 
Published: June 2024

This study investigates media coverage of cosmetic surgery in South Korea from 2014 to 2023 using text mining techniques applied to news articles from BigKinds. It focuses on assessing the prevalence of objective information and the societal impacts of capital-driven misinformation. The research methodology involved optimal topic modeling through perplexity, likelihood, BIC, and similarity measures, identifying five themes within the cosmetic surgery news corpus. Further analysis included quantitative topic recognition via fuzzy clustering by period, sentiment analysis, and network analysis utilizing n-gram techniques to explore relationships between key terms. Findings reveal five main topics covered in cosmetic surgery news: Consumer Psychology, Cosmetic Surgery Market, Cosmetic Companies and Technologies, Side Effects and Incidents, and the Tourism Industry. The period from 2014 to 2016 saw significant coverage, particularly on medical tourism and surgical side effects, while in 2017, attention shifted to the surgical process and market stability. From 2018 onward, news coverage expanded, especially in May, focusing on cosmetic technology and related industries amid increased outdoor activities. With the COVID-19 pandemic in 2020, there was a resurgence in coverage of the cosmetic surgery market. In 2023, post-pandemic, there was an uptick in articles related to cosmetic surgery technology industries and support funds. The core words in cosmetic surgery news were spreading around "plastic surgery," "China," and "Botulinum". The study sheds light on the potential influence of capital on media portrayals of cosmetic surgery and the resulting societal consequences of misinformation.