bluuebunny/crossref_metadata_2025_split huggingface dataset:
Defining depth requirements to conserve fish assemblages from water take in an intermittent river
Authors: Gwinn Daniel C. , Beesley Leah S. , Pusey Bradley J. , Douglas Michael M. , Keogh Chris S. , Pratt Oliver , Ryan Tom , Kennard Mark J. , Tayer Thiaggo C. , Canham Caroline A. , Coggins Lewis G. , Setterfield Samantha A. 
Published: December 2024

AbstractRiver systems once safeguarded from water development are being developed. This includes intermittent rivers that annually dry to a series of pools. Describing fish species relationships between abundance and pool depth can help managers set water-take rules that protect fish in dry-season pools. We sampled fish in main-channel and floodplain pools that spanned a gradient of depths and overcame sampling challenges by accounting for interacting effects of species mean length, environmental attributes, and sampling attributes on fish capture probabilities. Fish abundance-depth relationships varied systematically with species mean length, mesohabitat type (main channel, floodplain), water turbidity, and structural complexity, highlighting system complexity and the potential generality of abundance-depth relationships. Similarly, fish length moderated the effects of environmental attributes on capture probability for all sampling methods. We evaluated impacts of hypothetical water-take regulations on fish species’ distributions. Results suggested that water-take rules prohibiting draining of main-channel pools below 1.65 m and reducing floodplain pools by no more than 14% minimises impacts to species’ distributions, promoting conservation of the fish community. Additionally, our approach demonstrates the capacity of species length for predicting distributional and sampling patterns of fish species.
Using parenclitic networks on phaeochromocytoma and paraganglioma tumours provides novel insights on global DNA methylation
Authors: Brempou Dimitria , Montibus Bertille , Izatt Louise , Andoniadou Cynthia L , Oakey Rebecca J 
Published: December 2024

AbstractDespite the prevalence of sequencing data in biomedical research, the methylome remains underrepresented. Given the importance of DNA methylation in gene regulation and disease, it is crucial to address the need for reliable differential methylation methods. This work presents a novel, transferable approach for extracting information from DNA methylation data. Our agnostic, graph-based pipeline overcomes the limitations of commonly used differential methylation techniques and addresses the “small n, big k” problem. Pheochromocytoma and Paraganglioma (PPGL) tumours with known genetic aetiologies experience extreme hypermethylation genome wide. To highlight the effectiveness of our method in candidate discovery, we present the first phenotypic classifier of PPGLs based on DNA methylation achieving 0.7 ROC-AUC. Each sample is represented by an optimised parenclitic network, a graph representing the deviation of the sample’s DNA methylation from the expected non-aggressive patterns. By extracting meaningful topological features, the dimensionality and, hence, the risk of overfitting is reduced, and the samples can be classified effectively. By using an explainable classification method, in this case logistic regression, the key CG loci influencing the decision can be identified. Our work provides insights into the molecular signature of aggressive PPGLs and we propose candidates for further research. Our optimised parenclitic network implementation improves the potential utility of DNA methylation data and offers an effective and complete pipeline for studying such datasets.
Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in Tuberculosis immunopathology using machine learning
Authors: Ding Shoupeng , Gao Jinghua , Huang Chunxiao , Zhou Yuyang , Yang Yimei , Cai Zihan 
Published: December 2024

AbstractTuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious disease involving intricate immunological molecules, diverse signaling pathways, and multifaceted immune processes. N6-methyladenosine (m6A), a critical epigenetic modification, regulates various immune-metabolic and pathological pathways, though its precise role in TB pathogenesis remains largely unexplored. This study aims to identify m6A-associated genes implicated in TB, elucidate their mechanistic contributions, and evaluate their potential as diagnostic biomarkers and tools for molecular subtyping. Using TB-related datasets from the GEO database, this study identified differentially expressed genes associated with m6A modification. We applied four machine learning algorithms—Random Forest, Support Vector Machine, Extreme Gradient Boosting, and Generalized Linear Model—to construct diagnostic models focusing on m6A regulatory genes. The Random Forest algorithm was selected as the optimal model based on performance metrics (area under the curve [AUC] = 1.0, p < 0.01), and a clinical predictive model was developed based on these critical genes. Patients were stratified into distinct subtypes according to m6A gene expression profiles, followed by immune infiltration analysis across subtypes. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses elucidated the biological functions and pathways associated with the identified genes. Quantitative real-time PCR (RT-qPCR) was used to validate the expression of key m6A regulatory genes. Analysis of the GSE83456 dataset revealed four differentially expressed m6A-related genes—YTHDF1, HNRNPC, LRPPRC, and ELAVL1—identified as critical m6A regulators in TB through the Random Forest model. The diagnostic significance of these genes was further supported by a nomogram, achieving a high predictive accuracy (95% confidence interval [CI]: 0.87–0.94). Consensus clustering classified patients into two m6A subtypes with distinct immune profiles, as principal component analysis (PCA) showed significantly higher m6A scores in Group A than in Group B (p < 0.05). Immune infiltration analysis highlighted significant correlations between key m6A genes and specific immune cell infiltration patterns across subtypes. This study highlights the potential of key m6A regulatory genes as diagnostic biomarkers and immunotherapy targets for TB, supporting their role in TB pathogenesis. Future research should aim to further validate these findings across diverse cohorts to enhance their clinical applicability.
Design of capacitive electrostatic probes for online measurement of surface charge on ±320 kV tri‐post insulators
Authors: Liu Jiayi , Xie Xiaoqing , Wang Feng , Chen She , Sun Qiuqin , Zhong Lipeng , Fan Xianhao , Liang Fangwei 
Published: December 2024

AbstractCompared to offline measurement (interrupting the applied voltage before measurement), online measurement of surface charge on gas‐insulated transmission line (GIL) insulators effectively avoids the impact of spontaneous dissipation of charges. Thus, the accuracy of results can be improved. In this article, a measurement model of capacitive electrostatic probes for surface charges on ±320 kV GIL tri‐post insulator is established. The geometry of probes is optimized. The feasibility of online measurement of surface charges is analyzed. Results indicate that the surface leakage distance of induced charges is positively related to the length. Furthermore, as the diameter of probes increases, the maximum electric field on the sensitive electrode surface rises, while the radius of the sensitive electrode has the opposite effect. Hence, the diameter of the probe is 6 mm. The length and radius of sensitive electrodes are 50 mm and 1.2 mm, respectively. For online measurement of surface charges on ±320 kV tri‐post insulators, the induced potential distribution of the probe is consistent with surface charges. Therefore, the capacitive electrostatic probe in the embedded electrode is appropriate for the online measurement of surface charges on tri‐post insulators. It provides a reference for avoiding flashover triggered by surface charge accumulation on DC GIL insulators.
Review of driver behaviour modelling for highway on‐ramp merging
Authors: Kherroubi Zine el abidine , Aknine Samir 
Published: December 2024

AbstractAutonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety‐critical driving situations is highway on‐ramp merging. Most decision‐making strategies that perform highway on‐ramp merging are designed, firstly, to reduce the risk of crashes and improve the safety metrics. However, even with the development of such advanced driving systems, human drivers will still be involved in road traffic. Human drivers have various driving styles and different reactions to other traffic participants on the highway on‐ramp. Understanding driver behaviors is essential for designing safe and efficient real‐world driving strategies. Therefore, this paper provides a unique systematic review of existing techniques for modelling driver behaviors at highway on‐ramps, which are critical locations for traffic safety and efficiency. The novelty of this review is that it proposes a new classification of current state‐of‐the art techniques. Each category of techniques involves a unique paradigm. For each category of approaches, fundamental concepts are examined together with their challenges and limitations, and an overview on practical implementation. Furthermore, and based on the classification and chronological order, current research trend is identified, i.e. “data‐driven approaches”. Some future research avenues and disparities are also discussed.
Chemical enrichment in LINERs from MaNGA
Authors: Pérez-Díaz Borja , Pérez-Montero Enrique , Zinchenko Igor A. , Vílchez José M. 
Published: December 2024

Context. The chemical enrichment in low-ionization nuclear emission-line regions (LINERs) is still an issue with spatial resolution spectroscopic data because we lack studies and because the nature of their ionizing source is uncertain, although they are the most abundant type of active galaxies in the nearby Universe.
Aims. Considering different scenarios for the ionizing source (hot old stellar populations, active galactic nuclei, or inefficient accretion disks), we analyze the implications of these assumptions to constrain the chemical content of the gas-phase interstellar medium.
Methods. We used a sample of 105 galaxies from the survey called Mapping Nearby Galaxies at Apache Point Observatory (MaNGA), whose nuclear central spaxels show LINER-like emission. For each scenario we considered, we built a grid of photoionization models (4928 models for each considered ionizing source) that were later used in the open-source code HII-CHI-MISTRY. This allowed us to estimate chemical abundance ratios such as 12+log(O/H) or log(N/O) and to constrain the ionization parameters that characterize the ionized interstellar medium in these galaxies.
Results. The oxygen abundances in the nuclear region of LINER-like galaxies are spread over a wide range 8.08 < 12+log(O/H) < 8.89, with a median solar value (in agreement with previous studies) when models for active galactic nuclei are considered. Nevertheless, the nitrogen-to-oxygen ratio we derived is much less affected by the assumptions on the ionizing source and indicates suprasolar values (log(N/O) = −0.69). By comparing the different scenarios, we show that if hot old stellar populations caused the ionization of the interstellar medium, a complex picture (e.g., outflows and/or inflows that scale with the galaxy chemical abundance) would be needed to explain the chemical enrichment history, whereas the assumption of active galactic nucleus activity is compatible with the standard scenario that is found in most galaxies.
Aspekte der Versorgungsgerechtigkeit im UseCase Depressionsbehandlung des Digitalen FortschrittsHubs DECIDE
Authors: Riedinger Dirk , Huetter Sophia , Husemann Ronja , Momtahen Nicoletta , Uhl Francesca , Panholzer Torsten , Sandkämper Lucas , Scherrer Alexander , Pilz Maximilian , Flechsig Jonas , Simon Perikles , Tüscher Oliver , Hölzel Lars P. , Lieb Klaus , Wiegand Hauke Felix 
Published: December 2024

ZUSAMMENFASSUNGDepressive Störungen gehören zu den häufigsten psychischen Erkrankungen in Deutschland. Trotz umfassender Versorgungsstrukturen gelingt es im deutschen Gesundheitssystem häufig nicht, eine an den Empfehlungen der Nationalen VersorgungsLeitlinie Depression orientierte Behandlung umzusetzen. Auch ist es für Patienten herausfordernd, sich im sektorisierten Versorgungssystem die erforderlichen Therapien selbst zu organisieren, was u. a. mit Unterschieden in Gesundheitswissen, Bildungsstand aber auch impliziten Annahmen von Behandlern zusammenhängen könnte. Diese Aspekte können als Versorgungsungerechtigkeiten verstanden werden. Das DECIDE-Projekt, gefördert durch die Medizininformatikinitiative des BMBF, entwickelt eine digitale Infrastruktur zur Therapiebegleitung bei Depressionen, welche eine App für Patienten und eine Software für Behandler umfasst. Sie soll u. a. eine sektorenübergreifende Falldarstellung, ein digitales Therapiemonitoring, Tele-Bewegungstherapie und einen digitalen Decision Support ermöglichen sowie eine verbessertes Gesundheitswissen der Betroffenen als Basis für partizipative Entscheidungen und Organisation von Therapiemaßnahmen fördern. Anhand einer Weiterentwicklung des Rahmenkonzeptes zur digitalen Versorgungsgerechtigkeit des US-amerikanischen National Institute on Minority Health and Health Disparities diskutieren wir, wie individuelle, interpersonelle, lokal gesellschaftliche und übergreifende gesellschaftliche Faktoren der Versorgungsgerechtigkeit in der DECIDE-Infrastruktur adressiert werden und welche Herausforderungen noch bestehen.
Adhärenz zu E-Tagebuch-Abfragen im Rahmen einer 6-monatigen Studie mit Ecological Momentary Assessment bei Teilnehmern mit Schizophrenie, depressiver Störung und gesunden Kontrollen
Authors: Moldavski Alexander , Benedyk Anastasia , Reichert Markus , Meyer-Lindenberg Andreas , Tost Heike 
Published: December 2024

ZUSAMMENFASSUNGMenschen mit schweren psychiatrischen Erkrankungen (SMI), wie Schizophrenie und schweren Depressionen, haben oft Schwierigkeiten, Zugang zu adäquater Gesundheitsversorgung zu erhalten. Negative Symptome wie Antriebslosigkeit und sozialer Rückzug stellen dabei besondere Herausforderungen dar. Digitale Tools, insbesondere das Ecological Momentary Assessment (EMA), ermöglichen es, durch Smartphone-basierte elektronische Tagebücher (E-Tagebücher) Echtzeitdaten im Alltag der Patienten zu erfassen. In einer prospektiven Studie (INDICATE-N) wurde die Adhärenz zu einem mit täglichen Abfragen E-Tagebuch-Protokoll über 6 Monate bei Patienten mit Schizophrenie (SZ), depressiven Störungen (MDD) und gesunden Kontrollpersonen (HC) untersucht. Es zeigte sich, dass die Adhärenz der Patienten bei etwa 72 % lag, während gesunde Kontrollen eine höhere Adhärenz von etwa 84 % aufwiesen. Interessanterweise war die Teilnahme an den Abfragen unabhängig von der Schwere der Krankheit (gemessen am Clinical Global Impression Scale, CGI), außer bei sehr schwer kranken Patienten, bei denen die Adhärenz etwas geringer war. Diese Ergebnisse zeigen, dass EMA eine praktikable Methode zur Erfassung von Symptomen im Alltag von Patienten mit SMI ist, wobei die kontinuierliche Betreuung und Motivation der Teilnehmer entscheidend für den Erfolg ist.
Palliative Systemtherapie des metastasierten Rektumkarzinoms
Authors: Seufferlein Thomas , Ettrich Thomas Jens 
Published: December 2024

ZusammenfassungDie palliative Behandlung des metastasierten Rektumkarzinoms (mCRC) hat sich in den
letzten Jahren durch neue Behandlungsstrategien wie Induktions- und Erhaltungstherapien, die
Etablierung zielgerichteter Therapien und molekular definierte Therapien in bestimmten
Untergruppen wie MSI-H-Patienten erheblich erweitert. Der folgende Artikel stellt
evidenzbasiert therapeutische Optionen und Behandlungsalgorithmen vor.
Multifunctional III-nitride optoelectronic system on a tiny chip
Authors: Wang Binju , Fu Jianwei , Fu Kang , Ye Ziqi , Wu Wenxuan , Gao Xumin , Yan Jiabin , Wang Yongjin 
Published: December 2024

Multi-quantum well (MQW) diodes exhibit simultaneous emission and detection, allowing them to serve as multifunctional devices, including light emitters, receivers, energy transmitters, and information transmitters. Leveraging this capability, we designed a Multifunctional Energy Transfer Information System (METIS) that integrates contactless control, energy harvesting, and information transfer. At the core of this system, the multifunctional energy communication chip operates effectively across a broad range of extreme temperatures and in various solution environments. As the ambient temperature varies from −60 to 120 °C, the peak emission wavelength shifts from 465 to 476 nm, and even with further temperature changes from −70 to 150 °C, the communication function remains stable. Encapsulated for durability, METIS functions reliably in extreme conditions such as ice, water, salt solutions, and other light-transmitting fluids without needing external circuitry. Additionally, we demonstrate passive control of analog switches via MQW diodes. The MQW diodes also enable contactless energy and optical information transfer, ensuring stable and controllable information reconstruction at the receiving end. This approach offers an innovative solution for energy and information transmission in extreme environments.
Facilitative use of classifiers in heritage Vietnamese
Authors: Nguyen Hoan , Grüter Theres 
Published: December 2024

Abstract
Recent research has highlighted the value of investigating the online language processing of heritage speakers
(HS) as a means of accessing their implicit language knowledge (Montrul, 2023). While
studies have shown that Spanish and Polish HS use grammatical gender cues to predict upcoming nouns (Fuchs, 2022a, 2022b), less is known about Vietnamese HS’ use
of prenominal classifiers (e.g., con for animate objects, cái for inanimate objects) to
facilitate their processing (but see Ito et al., 2024). This study examined if and how
home-country raised and heritage speakers of Vietnamese in the U.S. use classifiers to facilitate the processing of upcoming
nouns, and whether heritage language proficiency is a modulating factor. Forty-one adult native speakers of Vietnamese (18
home-country raised, 23 HS) completed a visual-world eye-tracking experiment, an offline cloze test to assess knowledge of
classifier–noun pairings, and a Vietnamese listening proficiency test. The results indicate that despite more variable knowledge
of classifier–noun pairings and generally slower lexical access, HS use classifiers as a semantically informative cue during
real-time comprehension, albeit to a somewhat lesser extent than their home-country raised peers. Increased proficiency in the
heritage language, whether measured objectively or self-rated, was not found to enhance engagement in prediction.
The N-periodic wave solutions to the

N
=
1

supersymmetric Sawada–Kotera–Ramani equation
Authors: Xin 辛 Pengcheng 鹏程 , Zhao 赵 Zhonglong 忠龙 , Wang 王 Yu 宇 
Published: December 2024

Abstract
The N-periodic wave solvability problem for the

N
=
1

supersymmetric Sawada–Kotera–Ramani equation is considered by combining the Hirota’s bilinear method and the super Riemann theta function. The constraint equations and unknown parameters are redefined, and the numerical calculation process of the N-periodic wave solutions is derived. It has been verified that under certain conditions, the asymptotic relations between N-periodic wave solutions and N-soliton solutions can be established. Some numerical solutions of three-periodic wave are presented. Under the influence of the Grassmann variable, the three-periodic wave solutions will generate an influence band in the middle region, and the amplitude becomes bigger as the distance from the influence band increases.
Development of immunocompetent full thickness skin tissue constructs to model skin fibrosis for high-throughput drug screening
Authors: Lim Yi Wei , Quinn Russell , Bharti Kapil , Ferrer Marc , Zarkoob Hoda , Song Min Jae 
Published: December 2024

Abstract
The lack of the immune component in most of the engineered skin models remains a challenge to study the interplay between different immune and non-immune cell types of the skin. Immunocompetent human in vitro skin models offer potential advantages in recapitulating in vivo like behavior which can serve to accelerate translational research and therapeutics development for skin diseases. Here we describe a three-dimensional human full-thickness skin (FTS) equivalent incorporating polarized M1 and M2 macrophages from human peripheral CD14+ monocytes. This macrophage-incorporated FTS model demonstrates discernible immune responses with physiologically relevant cytokine production and macrophage plasticity under homeostatic and lipopolysaccharide stimulation conditions. M2-incorporated FTS recapitulates skin fibrosis phenotypes with transforming growth factor-β1 treatment as reflected by significant collagen deposition and myofibroblast expression, demonstrating a M2 potentiation effect. In conclusion, we successfully biofabricated an immunocompetent FTS with functional macrophages in a high-throughput (HT) amenable format. This model is the first step towards a HT-assay platform to develop new therapeutics for skin diseases.
Engineering pore-enriched and pre-vascularized volumetric constructs for enhanced blood glucose regulation in type 1 diabetes therapy
Authors: Kim Jaewook , Shim In Kyong , Lee Yu Na , Kim Myungji , Hwang Dong Gyu , Kim Jihwan , Jo Yeonggwon , Chae Suhun , Kim Jisoo , Kim Song Cheol , Cho Dong-Woo , Jang Jinah 
Published: December 2024

Abstract
Managing type 1 diabetes mellitus (T1DM) presents significant challenges because of the complexity of replicating the microenvironment of pancreatic islets and ensuring the long-term viability and function of transplanted insulin-producing cells (IPCs). This study developed a functional approach that utilizes 3D bioprinting technology to create pore-enriched and pre-vascularized tissue constructs incorporating a pancreatic tissue-derived decellularized extracellular matrix and human-induced pluripotent stem cells (hiPSCs) aimed at enhancing blood glucose regulation in T1DM. We designed a volumetric 3D pancreatic tissue construct that supported the engraftment, survival, and insulin-producing functionality of hiPSC-derived IPCs. The construct’s porosity was optimized to enhance IPC delivery efficiency. Additionally, human umbilical vein endothelial cells co-cultured with IPCs in a patterned structure facilitated pre-vascularization, improving construct integration with host tissues and accelerating revascularization post-transplantation. Our results demonstrate high cell viability and sustained insulin production in diabetic rodent models, indicating the constructs’ effectiveness in regulating blood glucose levels over an extended period. The findings of this study not only underscore the potential of 3D bioprinting for creating functional tissue constructs for T1DM treatment but also offer efficient cell delivery techniques applicable to other areas of regenerative medicine.