bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of periodontal pathogen-induced intestinal dysbiosis on transplant immunity in an allogenic skin graft model
Authors: Mei Takanori , Noguchi Hiroshi , Kuraji Ryutaro , Kubo Shinsuke , Sato Yu , Kaku Keizo , Okabe Yasuhiro , Onishi Hideya , Nakamura Masafumi 
Published: January 2023

AbstractPeriodontal disease can induce dysbiosis, a compositional and functional alteration in the microbiota. Dysbiosis induced by periodontal disease is known to cause systemic inflammation and may affect transplant immunity. Here, we examined the effects of periodontal disease-related intestinal dysbiosis on transplant immunity using a mouse model of allogenic skin graft in which the mice were orally administered the periodontal pathogen Porphyromonas gingivalis (Pg). For 6 weeks, the Pg group orally received Pg while the control group orally received phosphate-buffered saline solution. After that, both groups received allogenic skin grafts. 16 s rRNA analysis of feces revealed that oral administration of Pg significantly increased three short chain fatty acids (SCFAs) producing genera. SCFA (acetate and propionate) levels were significantly higher in the Pg group (p = 0.040 and p = 0.005). The ratio of regulatory T cells, which are positively correlated with SCFAs, to total CD4+ T cells in the peripheral blood and spleen was significantly greater (p = 0.002 and p < 0.001) in the Pg group by flowcytometry. Finally, oral administration of Pg significantly prolonged skin graft survival (p < 0.001) and reduced pathological inflammation in transplanted skin grafts. In conclusion, periodontal pathogen-induced intestinal dysbiosis may affect transplant immunity through increased levels of SCFAs and regulatory T cells. (198 words).
ZNF185 prevents stress fiber formation through the inhibition of RhoA in endothelial cells
Authors: Suzuki Soichiro , Ando Fumiaki , Kitagawa Sae , Hara Yu , Fujiki Tamami , Mandai Shintaro , Susa Koichiro , Mori Takayasu , Sohara Eisei , Rai Tatemitsu , Uchida Shinichi 
Published: January 2023

AbstractSignaling through cAMP/protein kinase A (PKA) promotes endothelial barrier function to prevent plasma leakage induced by inflammatory mediators. The discovery of PKA substrates in endothelial cells increases our understanding of the molecular mechanisms involved in vessel maturation. In this study, we evaluate a cAMP inducer, forskolin, and a phospho-PKA substrate antibody to identify ZNF185 as a PKA substrate. ZNF185 interacts with PKA and colocalizes with F-actin in endothelial cells. Both ZNF185 and F-actin accumulate in the plasma membrane region in response to forskolin to stabilize the cortical actin structure. By contrast, ZNF185 knockdown disrupts actin filaments and promotes stress fiber formation without inflammatory mediators. Constitutive activation of RhoA is induced by ZNF185 knockdown, which results in forskolin-resistant endothelial barrier dysfunction. Knockout of mouse Zfp185 which is an orthologous gene of human ZNF185 increases vascular leakage in response to inflammatory stimuli in vivo. Thrombin protease is used as a positive control to assemble stress fibers via RhoA activation. Unexpectedly, ZNF185 is cleaved by thrombin, resulting in an N-terminal actin-targeting domain and a C-terminal PKA-interacting domain. Irreversible dysfunction of ZNF185 protein potentially causes RhoA-dependent stress fiber formation by thrombin.
Mutual remodeling of interacting nanodroplets and vesicles
Authors: Satarifard Vahid , Lipowsky Reinhard 
Published: January 2023

AbstractLiquid-liquid phase separation within the cytosol leads to the formation of protein-enriched droplets inside cells. These droplets known as biomolecular condensates have ultra-low interfacial tensions and fulfill a vast range of functions inside cells. Biomolecular condensation can take place at the plasma membrane and generate mechanical forces on membranes as a result of membrane wetting. But little is known about the wetting of membranes by biomolecular condensates. In this study, we utilize energy minimization to explore a wide range of parameters and determine the dependence of membrane wetting phenomena on interfacial tension, bending rigidity, line tension, and spontaneous curvature. We observe that interacting nanodroplets and vesicles mutually remodel one another. In addition, we determine the parameter regimes for which the droplet-membrane systems exhibit axisymmetric and non-axisymmetric contact lines. Our results provide insights into understanding intracellular processes and physical mechanisms based on the mutual remodeling of droplets and membranes.
A semantic and emotion‐based dual latent variable generation model for a dialogue system
Authors: Yan Ming , Lou Xingrui , Chan Chien Aun , Wang Yan , Jiang Wei 
Published: January 2023

AbstractWith the development of intelligent agents pursuing humanisation, artificial intelligence must consider emotion, the most basic spiritual need in human interaction. Traditional emotional dialogue systems usually use an external emotional dictionary to select appropriate emotional words to add to the response or concatenate emotional tags and semantic features in the decoding step to generate appropriate responses. However, selecting emotional words from a fixed emotional dictionary may result in loss of the diversity and consistency of the response. We propose a semantic and emotion‐based dual latent variable generation model (Dual‐LVG) for dialogue systems, which is able to generate appropriate emotional responses without an emotional dictionary. Different from previous work, the conditional variational autoencoder (CVAE) adopts the standard transformer structure. Then, Dual‐LVG regularises the CVAE latent space by introducing a dual latent space of semantics and emotion. The content diversity and emotional accuracy of the generated responses are improved by learning emotion and semantic features respectively. Moreover, the average attention mechanism is adopted to better extract semantic features at the sequence level, and the semi‐supervised attention mechanism is used in the decoding step to strengthen the fusion of emotional features of the model. Experimental results show that Dual‐LVG can successfully achieve the effect of generating different content by controlling emotional factors.
Resilient electret film‐based vibrational energy harvesters with a V‐shaped counter electrode
Authors: Yang Xiaoya , Ma Xingchen , Ding Chuan , Sessler Gerhard M. , von Seggern Heinz , Kupnik Mario , Dai Ying , He Pengfei , Zhang Xiaoqing 
Published: January 2023

AbstractVibrational energy harvesters, which can convert mechanical energy distributed widely in the surrounding environment to electrical energy in a convenient, eco‐friendly and sustainable way, have attracted great attention in both academia and industry. In this study, a resilient electret film‐based vibrational energy harvester with a V‐shaped counter electrode is introduced, simulated and constructed. A negatively charged fluorinated polyethylene propylene (FEP) electret film with a wavy shape was adopted in the devices, achieving simultaneously a stable embedded biased voltage and a large tensile deformation during vibration. The influences of the factors on the performance of the device, including the initial stretching state of the resilient electret film, seismic mass and depth of the V‐shape counter electrode, were analyzed comprehensively with finite element simulation and compared to experiments. Further, the structure of the device was optimised for generating a high output power, and a good agreement between the simulation and experimental data was achieved. Additionally, the resonant frequency of the device can be easily tuned between 28 and 68 Hz by merely adjusting the initial stretching state of the wavy FEP electret film, guaranteeing great superiority for broad bandwidth energy harvesting applications. For an optimised energy harvester with a volume of only 15 × 5 × 1.7 mm3 and a tiny seismic mass of 25 mg, and a normalized output power referring to 1 × g (g is the gravity of the Earth) up to 547 μW was obtained at its resonant frequency of 28 Hz. These results demonstrate that such a miniaturised vibrational energy harvester is a promising electrical energy supplier for low‐power‐consumption electronic devices, in particular in wireless sensor networks.
The cosmic DANCe of Perseus
Authors: Olivares J. , Bouy H. , Miret-Roig N. , Galli P. A. B. , Sarro L. M. , Moraux E. , Berihuete A. 
Published: January 2023

Context. Star-forming regions are excellent benchmarks for testing and validating theories of star formation and stellar evolution. The Perseus star-forming region, being one of the youngest (< 10 Myr), closest (280−320 pc), and most studied in the literature, is a fundamental benchmark.
Aims. We aim to study the membership, phase-space structure, mass, and energy (kinetic plus potential) distribution of the Perseus star-forming region using public catalogues (Gaia, APOGEE, 2MASS, and Pan-STARRS).
Methods. We used Bayesian methodologies that account for extinction to identify the Perseus physical groups in the phase-space, retrieve their candidate members, derive their properties (age, mass, 3D positions, 3D velocities, and energy), and attempt to reconstruct their origin.
Results. We identify 1052 candidate members in seven physical groups (one of them new) with ages between 3 and 10 Myr, dynamical super-virial states, and large fractions of energetically unbounded stars. Their mass distributions are broadly compatible with that of Chabrier for masses ≳0.1 M⊙ and do not show hints of over-abundance of low-mass stars in NGC 1333 with respect to IC 348. These groups’ ages, spatial structure, and kinematics are compatible with at least three generations of stars. Future work is still needed to clarify if the formation of the youngest was triggered by the oldest.
Conclusions. The exquisite Gaia data complemented with public archives and mined with comprehensive Bayesian methodologies allow us to identify 31% more members than previous studies, discover a new physical group (Gorgophone: 7 Myr, 191 members, and 145 M⊙), and confirm that the spatial, kinematic, and energy distributions of these groups support the hierarchical star formation scenario.
Artificial Intelligence in Reproductive Medicine – An Ethical Perspective
Authors: Rolfes Vasilija , Bittner Uta , Gerhards Helene , Krüssel Jan-Steffen , Fehm Tanja , Ranisch Robert , Fangerau Heiner 
Published: January 2023

AbstractArtificial intelligence is steadily being integrated into all areas of medicine. In reproductive medicine, artificial intelligence methods can be utilized to improve the selection and
prediction of sperm cells, oocytes, and embryos and to generate better predictive models for in vitro fertilization. The use of artificial intelligence in this field is justified by the
suffering of persons or couples who wish to have children but are unable to conceive. However, research into the use of artificial intelligence in reproductive medicine is still in the early
experimental stage and furthermore raises complex normative questions. There are ethical research challenges because evidence of the efficacy of certain pertinent systems is often lacking
and because of the increased difficulty of ensuring informed consent on the part of the affected persons. Other ethically relevant issues include the potential risks for offspring and the
difficulty of providing sufficient information. The opportunity to fulfill the desire to have children affects the welfare of patients and their reproductive autonomy. Ultimately, ensuring
more accurate predictions and allowing physicians to devote more time to their patients will have a positive effect. Nevertheless, clinicians must be able to process patient data
conscientiously. When using artificial intelligence, numerous actors are involved in making the diagnosis and deciding on the appropriate therapy, raising questions about who is ultimately
responsible when mistakes occur. Questions of fairness arise with regard to resource allocation and cost reimbursement. Thus, before implementing artificial intelligence in clinical
practice, it is necessary to critically examine the quantity and quality of the data used and to address issues of transparency. In the medium and long term, it would be necessary to
confront the undesirable impact and social dynamics that may accompany the use of artificial intelligence in reproductive medicine.
Skull Base Reconstruction following Surgical Treatment of Sinonasal Malignancies
Authors: Pool Christopher , Abiri Arash , Kuan Edward C. 
Published: January 2023

AbstractSkull base defects following resection of anterior cranial fossa and sinonasal tumors are not uncommon. Advances in endoscopic techniques have allowed for entirely endonasal resection and reconstruction of these tumors. This article discusses techniques in the evaluation and management of anterior skull base defects.
Sepsis-Associated DIC with Decreased Levels of Antithrombin and Fibrinogen is the Target for Combination Therapy with Thrombomodulin Alfa and Antithrombin
Authors: Wada Hideo , Kawasugi Kazuo , Honda Goichi , Kawano Noriaki , Uchiyama Toshimasa , Madoiwa Seiji , Takezako Naoki , Suzuki Kei , Seki Yoshinobu , Ikezoe Takayuki , Iba Toshiaki , Okamoto Kohji 
Published: January 2023

Background Disseminated intravascular coagulation (DIC) is not a homogeneous condition, but rather includes heterogeneous conditions, and its pathophysiology and outcome vary considerably depending on the background. Although anticoagulant therapy is expected to be of benefit in the treatment of DIC, previous studies have suggested that the benefits are limited only to a specific subtype.
Objects The purpose of this study was to identify the group that would benefit from combination therapy using thrombomodulin/antithrombin.
Methods The data from 2,839 patients registered in the postmarketing surveillance of thrombomodulin were evaluated. The patients were divided into four groups depending on antithrombin and fibrinogen levels, and the additive effects of antithrombin on thrombomodulin were examined in the groups.
Results The DIC score, Sequential Organ Failure Assessment score, and mortality were significantly higher in the DIC group with low-antithrombin/low-fibrinogen than in the DIC groups without either low antithrombin or low fibrinogen. The survival curve was significantly higher in DIC patients with combination therapy than in patients treated with thrombomodulin monotherapy, but this effect was seen only in patients with infection-based DIC.
Conclusion DIC patients with low-antithrombin/low-fibrinogen risk poor outcomes, but they can be the target of combination therapy with antithrombin and thrombomodulin as long as the DIC is due to infection.
Zusammenhang von Diabetes mellitus und neurodegenerativen Erkrankungen
Authors: Schubert Markus 
Published: January 2023

ZusammenfassungEs besteht heute kein Zweifel mehr, dass der Diabetes mellitus mit kognitiven Leistungseinschränkungen und neurodegenerativen Erkrankungen assoziiert ist. Die beiden häufigsten Formen des
Diabetes mellitus sind der Diabetes mellitus Typ 1 und 2. Der Diabetes mellitus Typ 1 ist gekennzeichnet durch einen absoluten Insulinmangel, der mit einer Vielzahl von
Stoffwechselveränderungen assoziiert ist. Diese Diabetesform bedarf zwingend einer Insulintherapie. Ohne Insulin verläuft diese Erkrankung tödlich. Die heutzutage weit häufigere Form ist der
Diabetes mellitus Typ 2. Dieser ist gekennzeichnet durch eine Insulinresistenz. Seit mittlerweile einigen Jahren stehen Medikamente zur Verfügung, mit der diese Form des Diabetes multimodal
behandelbar ist. Diese Therapieoptionen können nicht nur die Stoffwechseleinstellung verbessern, sondern auch kardiovaskuläre Ereignisse verhindern. Es können verschiedene kognitive
Einschränkungen, die mit dem Diabetes mellitus assoziiert sind, unterschieden werden. Zum einen führt die Veränderung der Glukosehomöostase an sich zu kognitiven Einschränkungen, d. h., zu
hohe oder akut zu niedrige Blutzuckerspiegel gehen z. T. mit erheblichen Störungen der geistigen Leistungsfähigkeit bis hin zur Bewusstlosigkeit einher. Aber nicht nur die Blutzuckerspiegel,
auch langfristige Veränderungen des Stoffwechsels führen letztendlich auf noch nicht ganz geklärte Weise zu Neurodegenerationen bis hin zur Demenz. Insulin oder insulinähnliche Moleküle
haben eine bedeutende Wirkung im zentralen Nervensystem. In den letzten Jahrzehnten konnte gezeigt werden, dass Insulinrezeptoren selbst in vielen Regionen des Gehirns exprimiert werden und
z. B. die Nahrungsaufnahme und Gedächtnisleistung im Menschen und im Tiermodell regulieren. Im Tiermodell beeinflussen Störungen der Insulinsignaltransduktion die Ausprägung von z. B. für
den Morbus Alzheimer (AD) typischen Pathologien. Beim Menschen gehört eine zentrale Insulinresistenz zumindest zur formalen Pathogenese des AD. Gefäßveränderungen (Makroangiopathie) bei
Patienten mit Diabetes mellitus führen nicht selten zu zerebralen Insulten, Mikroangiopathien und vaskulärer Demenz.
Arylation and Alkyne Insertion to C-Acylimines: Rapid Access to 2-Trifluoromethylated and Other Fully Substituted Pyrroles in One Pot
Authors: Yaragorla Srinivasarao , Doma Arun , Tangellapally Rajeshwari 
Published: January 2023

AbstractA one-pot, four-component strategy for the synthesis of trifluoromethylated, and other fully-substituted pyrroles is reported using minimum loading of calcium catalyst at room temperature. A variety of arenes, α-keto aldehydes, amines, and activated alkynes took part in the reaction to produce high-yielding products. Friedel–Crafts arylation and aza-Michael addition are the key reactions in this approach.
Color Appearance of Various Provisional Restorative Materials for Rehabilitation Upon Aging
Authors: Juntavee Niwut , Juntavee Apa , Srisontisuk Supichaya 
Published: January 2023

Abstract
Objectives Color stability of provisional restoration is crucial for full mouth reconstruction, which is probably influenced by aging. Therefore, this study evaluated the effect of aging on the color appearance of different provisional materials.
Materials and Methods Rectangular specimens (10 × 10 × 2 mm) were fabricated from computer-aided design-computer-aided manufacturing (CAD-CAM) (Vita CAD-Temp [VC], TelioCAD [TC], artBloc [RC]), autopolymerized (ProtempIV [PA], Luxatemp [LA], UnifastTrad [UA]), and heat-polymerized polymer (Major C&B [MH]). Each was divided into aging (AG, 5,000 thermocycles of 5°/55°C) and non-aging group (n = 21/group). Color parameters were determined using a spectrophotometer through the CIELAB system. The L*, a*, and b* data were calculated for color appearance (∆E), translucency parameter (TP), contrast ratio (CR), and opalescence parameter (OP) for each.
Statistical Analysis An analysis of variance and multiple comparisons were determined for a significant difference in color appearance alteration of materials upon aging (α = 0.05).
Results Statistically significant differences of L*, a*, b*, ∆E, TP, CR, and OP due to the effect of types of material (p < 0.05), aging effect (p < 0.05), and their interactions (p < 0.05) were indicated. Aging affects the color appearance, lightness, chromaticity, translucency, contrast, and opalescence of various types of provisional materials. Color appearance alteration of provisional materials was significantly indicated upon aging (p < 0.05) but within the perceivable limit of clinical acceptance (∆E
diff < 3.0), except for PA and MH. Color stability of CAD-CAM-based poly-methyl methacrylate (PMMA) and autopolymerized PMMA upon aging were better than bis-acryl resin and heat-polymerized PMMA. The TP, CR, and OP alterations of tested materials upon aging were within the perceivable limit.
Conclusion Color appearance of provisional restorative materials was influenced by aging. The CAD-CAM-based PMMA and autopolymerized PMMA materials showed better color stability than bis-acryl provisional resin and heat-polymerized PMMA upon aging. Therefore, they were suggested as provisional materials for oral rehabilitation.
PMS2 Pathogenic Variant in Lynch Syndrome-Associated Colorectal Cancer with Polyps
Authors: Poaty Henriette , Bouya Lauria Batamba , Lumaka Aimé , Mongo-Onkouo Arnaud , Gassaye Deby 
Published: January 2023

AbstractBackground Lynch syndrome (LS) is an autosomal dominant condition due to the germline mutation in the mismatch repair (MMR) genes including MLH1, MSH2, MSH6, and PMS2 (post-meiotic segregation increased 2). The MMR mutation carriers have high risk for cancers. Pathogenic PMS2 variants are rarely reported in LS-associated colorectal cancer (CRC) with colorectal polyps. The aim of the study was to investigate the genetic etiology of CRC in an individual with CRC with multiple colorectal polyps and a family history of cancers.Patients and Methods The index patient was an African male affected by CRC with multiple colorectal polyps. The clinical diagnostic for LS was based on the Amsterdam II criteria and pedigree. Next-generation sequencing with inherited cancer genes panel was used to detect the pathogenic variant.Results The patient fulfilled the Amsterdam II criteria and the pedigree revealed a family history of recurrent CRC. A deleterious PMS2 germline heterozygous mutation c.2192_2196delTAACT was detected.Conclusion Our study supports the notion that LS may be associated with polyps and shows the predisposition of PMS2 heterozygous mutation in LS-associated CRC at young age.
Targeted Data Quality Analysis for a Clinical Decision Support System for SIRS Detection in Critically Ill Pediatric Patients
Authors: Tute Erik , Mast Marcel , Wulff Antje 
Published: January 2023

Abstract
Background Data quality issues can cause false decisions of clinical decision support systems (CDSSs). Analyzing local data quality has the potential to prevent data quality-related failure of CDSS adoption.
Objectives To define a shareable set of applicable measurement methods (MMs) for a targeted data quality assessment determining the suitability of local data for our CDSS.
Methods We derived task-specific MMs using four approaches: (1) a GUI-based data quality analysis using the open source tool openCQA. (2) Analyzing cases of known false CDSS decisions. (3) Data-driven learning on MM-results. (4) A systematic check to find blind spots in our set of MMs based on the HIDQF data quality framework. We expressed the derived data quality-related knowledge about the CDSS using the 5-tuple-formalization for MMs.
Results We identified some task-specific dataset characteristics that a targeted data quality assessment for our use case should inspect. Altogether, we defined 394 MMs organized in 13 data quality knowledge bases.
Conclusions We have created a set of shareable, applicable MMs that can support targeted data quality assessment for CDSS-based systemic inflammatory response syndrome (SIRS) detection in critically ill, pediatric patients. With the demonstrated approaches for deriving and expressing task-specific MMs, we intend to help promoting targeted data quality assessment as a commonly recognized usual part of research on data-consuming application systems in health care.