bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complete remission of diabetes with a transient HDAC inhibitor and insulin in streptozotocin mice
Authors: Kojima Hideto , Katagi Miwako , Okano Junko , Nakae Yuki , Ohashi Natsuko , Fujino Kazunori , Miyazawa Itsuko , Nakagawa Takahiko 
Published: June 2023

AbstractDespite the growing epidemic worldwide, diabetes is an incurable disease. We have been focusing on why diabetes manifests refractoriness to any therapy. We recently found that abnormal bone marrow-derived cells (BMDCs), namely, Vcam-1+ST-HSCs, was a key mechanism for diabetic complications. We then hypothesize that those aberrant BMDCs sustainedly impair pancreatic β cells. Here we show that eliminating abnormal BMDCs using bone marrow transplantation results in controlling serum glucose in diabetic mice, in which normoglycemia is sustained even after cessation of insulin therapy. Alternatively, abnormal BMDCs exhibiting epigenetic alterations are treated with an HDAC inhibitor, givinostat, in diabetic mice. As a result, those mice are normoglycemic along with restored insulin secretion even following the cessation of both insulin and givinostat. Diabetic cell fusion between abnormal BMDCs and resident cells is significantly blocked by the combination therapy in the pancreatic islets and thymus while surgical ablation of the thymus completely eliminates therapeutic protection in diabetic mice. In conclusion, diabetes is an epigenetic stem cell disorder with thymic disturbances. The combination may be applied to patients aiming at complete remission from diabetes in clinical medicine.
Weakly supervised point cloud segmentation via deep morphological semantic information embedding
Authors: Xue Wenhao , Yang Yang , Li Lei , Huang Zhongling , Wang Xinggang , Han Junwei , Zhang Dingwen 
Published: June 2023

AbstractSegmenting the semantic regions of point clouds is a crucial step for intelligent agents to understand 3D scenes. Weakly supervised point cloud segmentation is highly desirable because entirely labelling point clouds is highly time‐consuming and costly. For the low‐costing labelling of 3D point clouds, the scene‐level label is one of the most effortless label strategies. However, due to the limitation of classifier discriminative capability and the orderless and structurless nature of the point cloud data, existing scene‐level method is hard to transfer the semantic information, which usually leads to the under‐activated or over‐activated issues. To this end, a local semantic embedding network is introduced to learn local structural patterns and semantic propagation. Specifically, the proposed network contains graph convolution‐based dilation and erosion embedding modules to implement ‘inside‐out’ and ‘outside‐in’ semantic information dissemination pathways. Therefore, the proposed weakly supervised learning framework could achieve the mutual propagation of semantic information in the foreground and background. Comprehensive experiments on the widely used ScanNet benchmark demonstrate the superior capacity of the proposed approach when compared to the current alternatives and baseline models.
An optimal scheduling of renewable energy in flexible interconnected distribution networks considering extreme scenarios
Authors: Zhang Yongjun , Zhong Kanghua , Deng Wenyang , Cheng Runting , Chen Mingli , An Yuzheng , Tang Yuan 
Published: June 2023

AbstractAs renewable power penetration gradually increases in hierarchical distribution networks, certain regions have started to lack the ability to consume. How to improve the consumption capacity of a hierarchical distribution network through optimal dispatching has become a hot topic in the current research on distribution system operation. Firstly, the article makes an accurate and rapid assessment of the consumption capacity of the station area through the limit scenario analysis method; secondly, based on the assessment results, the main network renewable power sources are prioritized for consumption, while the main network and the station area; thirdly, the main network renewable power sources are prioritized for consumption, considering the assessment results while the main network and the station area reach the optimal power flow simultaneously through a multi‐layer dispatching model. Then, through the flexible interconnection system, load balancing and energy optimization are performed for unconsumed distributed generation (DG) and incomplete energy storage system (ESS) in the station area to further improve the efficiency of renewable energy. Finally, the effectiveness of the proposed model is verified by simulation tests.
Multi-spacecraft observations of near-relativistic electron events at different radial distances
Authors: Kollhoff A. , Berger L. , Brüdern M. , Dresing N. , Eldrum S. , Fleth S. , Gómez-Herrero R. , Heber B. , Kühl P. , Pacheco D. , Rodríguez-García L. , Rodríguez-Pacheco J. , Wimmer-Schweingruber R. F. , Xu Z. 
Published: June 2023

Aims. We study the radial evolution of near-relativistic solar energetic electron (SEE) events observed by at least two spacecraft at different heliocentric distances and with small separation angles between their magnetic footpoints at the Sun.
Methods. We identified SEE events for which Solar Orbiter and either Wind or STEREO-A had a small longitudinal separation (< 15°) between their nominal magnetic footpoints. For the approximation of the footpoint separation, we followed a ballistic back-mapping approach using in situ solar wind speed measurements. For all the SEE events that satisfied our selection criteria, we determined the onset times, rise times, peak fluxes, and peak values of the first-order anisotropy for electrons in the energy range from ∼50 − 85 keV. We compared the event parameters observed at different spacecraft and derived exponential indices αp for each parameter p, assuming an Rα-dependence on the heliocentric distance R.
Results. In our sample of SEE events, we find strong event-to-event variations in the radial dependence of all derived parameters. For the majority of events, the peak flux decreases with increasing radial distance. For the first-order anisotropy and the rise time no clear radial dependence was found. The derived onset delays observed between two spacecraft were found to be too long to be explained by ideal Parker spirals in multiple events.
Conclusions. The rudimentary methods presented in this study lead to event parameters with large uncertainties. The absence of a clear radial dependence on the first-order anisotropy and the rise time as well as the ambiguous onset timing of the SEE events found in this study could be the result of general limitations in the methods we used. Further studies, including analyses of the directional fluxes and transport simulations that take the individual instrument responses into account, would allow a better interpretation of the radial evolution of SEE events.
Gemeinsames Auftreten von Morbus Whipple und Hyperparathyreoidismus – Zufall oder kausaler Zusammenhang?
Authors: Weber Marie , Dancygier Henryk , Blasberg Tobias , Wedi Edris 
Published: June 2023

Zusammenfassung
Der Morbus Whipple ist eine seltene Infektionserkrankung mit multiplen klinischen Manifestationen. Die nach dem Erstbeschreiber George Hoyt Whipple benannte Erkrankung wurde 1907 im Rahmen der Autopsie eines 36-Jährigen mit Gewichtsverlust, Diarrhoen und Arthritis entdeckt. Unter dem Mikroskop entdeckte Whipple ein stäbchenförmiges Bakterium in der Darmwand des Patienten, welches erst 1992 als neue Bakterienspezies bestätigt und als Tropheryma whipplei benannt wurde.Ein Rezidiv des Morbus Whipple kann auch Jahre nach der initialen Diagnose auftreten und manifestiert sich häufig mit extraintestinalen Symptomen wie Arthritiden oder Hauteffloreszenzen, Jahre vor einem gastrointestinalen Beschwerdebild. Das im vorliegenden Fall festgestellte, simultane Auftreten mit einem primären Hyperparathyreoidismus ist jedoch ein bislang unbekanntes Krankheitsbild und eröffnet neue Fragen und Perspektiven im Rahmen der Diagnostik und Therapie.
Yogatherapie bei Diabetes Typ 2
Authors: Orttmann-Heuser Anja , Lenarz Birgit 
Published: June 2023

ZusammenfassungDie Deutsche Diabetes Gesellschaft berichtet, dass 9,5 % der erwachsenen Bevölkerung an Diabetes Typ 2 leiden. Yogatherapie kann als komplementäre Therapie wirksam sein, um nachhaltig gesündere Gewohnheiten zu entwickeln. Sie nutzt gezielt die Methoden des Yoga zur Linderung krankheitsbedingter Einschränkungen und Symptome. In Deutschland ist die Yogatherapie noch nicht sehr weit verbreitet, aber in den USA hat sie sich bereits etabliert. Als komplementäre personalisierte Therapie kann sie auch bei der Behandlung von Typ-2-Diabetes eine wichtige Rolle spielen. Gezielt werden für diese Patient*innengruppe Körperübungen mit Atem- und Entspannungstechniken kombiniert, um so auf körperlicher und mentaler Ebene Prozesse in Gang zu setzen. Sie berücksichtigt die Fähigkeiten und Bedürfnisse des Einzelnen und basiert auf grundlegenden Prinzipien: individuelles Übungsprogramm, Schmerzfreiheit, Kontinuität, schrittweises Vorgehen, Selbstwirksamkeit und Selbstwahrnehmung. Der Beitrag stellt beispielhafte yogatherapeutische Interventionen bei typischen Symptomen des Diabetes Typ 2 vor. Auch wissenschaftliche Studien untermauern die positiven Effekte von Yoga auf das Diabetesmanagement.
Welche Rolle spielt Magnesium beim metabolischen Syndrom?
Authors: Birkelbach Daniela 
Published: June 2023

ZusammenfassungRund 30 % der Bevölkerung leiden unter dem metabolischen Syndrom, was als Risikofaktor für die Entwicklung eines Typ-2-Diabetes und weiterer diabetischer Folge- und Begleiterkrankungen gilt. Neben den gravierenden gesundheitlichen Problemen für die Patient*innen verursachen das metabolische Syndrom und seine Folgeerkrankungen hohe Kosten für das Gesundheitswesen: „Die stetige Zunahme der Zahl der Patienten mit metabolischem Syndrom und seinen Folgen ist eine schwerwiegende medizinische, soziale und ökonomische Herausforderung“, warnt in diesem Zusammenhang auch Prof. Hans Georg Classen, Vorsitzender der Gesellschaft für Biofaktoren e. V. (GfB). Ein zusätzliches Problem: Viele potenziell Erkrankte ahnen nichts von dem erhöhten Risiko. Neben der Optimierung von Stoffwechseleinstellung und Lebensweise können betroffene Patient*innen auch von einer zielgerichteten Versorgung mit essenziellen Biofaktoren wie Magnesium profitieren. Ein Mangel kann auch anderen Symptomen zugrunde liegen. Bei Magnesiummangelverdacht sollte daher immer eine Labordiagnostik erfolgen.
Sportliches Training beim metabolischen Syndrom
Authors: Morvilius Simone 
Published: June 2023

ZusammenfassungDie Inzidenz kardiovaskulärer Risikofaktoren steigt mit zunehmendem Alter stetig an 1. Zusammengefasst werden sie (je nach zugrunde liegender Klassifizierung WHO, IDF oder AHA/NHLBI) als metabolisches Syndrom (MetS) bezeichnet. Risikosteigerung für eine Entwicklung von Diabetes mellitus Typ 2, Herzleiden, Schlaganfall und weiteren Erkrankungen sowie eine frühere Sterblichkeit können die Folgen sein. Neben Ernährungsweise, genetischer Disposition, Altersstruktur und soziokulturellen Einflussfaktoren scheint Bewegungsmangel einer der hauptursächlichen Faktoren des MetS zu sein 2, 3. Angepasstes sportliches Training zeigt präventiv wie kurativ Wirksamkeit gegen die ungünstige Konstellation des Syndroms und kann – im besten Fall in Verbindung mit einer gesunden Ernährungsweise – zu einer Gesundung der Betroffenen führen 4. Der Beitrag zeigt Trainingsbeispiele zur Bewegungsanregung.
Hyperspectral Imaging—A Novel Tool to Assess Tissue Perfusion and Oxygenation in Esophageal Anastomoses
Authors: Vaz Pimentel Duarte , Merten Larissa , Gosemann Jan-Hendrik , Gockel Ines , Jansen-Winkeln Boris , Mayer Steffi , Lacher Martin 
Published: June 2023

AbstractAnastomotic stricture and leakage are common complications after repair of esophageal atresia (EA). A compromised perfusion of the anastomosis is a contributing factor. Hyperspectral imaging (HSI) is an ultrashort noninvasive method to measure tissue perfusion. We present two cases of with tracheoesophageal fistula (TEF)/EA repair, in whom we applied HSI: the first patient was a newborn with EA type C who underwent open TEF repair. The second one had an EA type A and cervical esophagostomy, in whom we performed gastric transposition. In both patients, HSI confirmed a good tissue perfusion of the later anastomosis. The postoperative course was uneventful and both patients are on full enteral feeds. We conclude that HSI is a safe and noninvasive tool that allows near real-time assessment of tissue perfusion and can contribute to the identification of the optimal anastomotic region during pediatric esophageal surgery.
Image reconstruction for ECT based on high-order approximate sensitivity matrix
Authors: Yang Yidan , Liu Jing , Liu Guoqiang 
Published: June 2023

Abstract
Electrical capacitance tomography (ECT), widely used for industrial measurements, reflects the permittivity distribution of the imaging region by measuring capacitance. The image reconstruction method is a crucial factor in determining image quality. Normally, the ECT image is reconstructed by sensitivity matrix. To alleviate the effects of the soft field property of the traditional sensitivity matrix, we propose an ECT reconstruction method based on the high-order approximate sensitivity matrix. The high-order approximate sensitivity matrices with four different nonlinearities, including a traditional sensitivity matrix, are derived through electromagnetic field analysis. Both numerical simulation and experiment are implemented for four sensitivity matrices using the Tikhonov regularisation algorithm and Landweber algorithm. Sensitivity evaluation indicators, image evaluation metricises, and capacitance matching correlation coefficients are used to compare the performance of sensitivity matrices. The results show that the high-order approximate sensitivity matrix with suitable nonlinearities improves image reconstruction quality. In different flow regimes, the sensitivity matrix with proper linearity has obvious advantages for regimes with high nonlinearity. The high-order approximate sensitivity matrix leads to shorter calculation time and can be used by various algorithms to enhance image reconstruction quality.
Computational modeling of CO2 conversion by a solar-enhanced microwave plasma reactor
Authors: Elahi Rasool , Simasiku Ephraim M , Trelles Juan P 
Published: June 2023

Abstract
The use of renewable energy to convert carbon dioxide (CO2) into higher-value products can help meet the demand for fuels and chemicals while reducing CO2 emissions. Solar-Enhanced Microwave Plasma (SEMP) CO2 conversion aims to combine the scalability and sustainability of solar thermochemical methods with the high efficiency and continuous operation of plasmachemical approaches. A computational study of a built SEMP reactor operating with up to 1250 W of microwave power together with up to 525 W of incident solar power at atmospheric pressure is presented. The study is based on a fully-coupled 2D computational model comprising the description of fluid flow, heat transfer, Ar-CO2 chemical kinetics, energy conservation for electrons and heavy-species, electrostatics, and radiative transport in participating media through the discharge tube, together with the description of the microwave electromagnetic field through the waveguide and the discharge tube. Numerical simulations reveal that the plasma is concentrated near the location of incident microwave energy, which is aligned with the radiation focal point, and that CO2 decomposition is highest in that region. The incident solar radiation flux leads to more uniform distributions of heavy-species temperature with moderately greater values throughout most of the discharge tube. Modeling results show that, at 700 W of electric power, conversion efficiency increases from 6.8% to 10.0% with increasing solar power from 0 to 525 W, in good agreement with the experimental findings of 6.4% to 9.2%. The enhanced process performance is a consequence of the greater power density of the microwave plasma due to the absorption of solar radiation.
Large reciprocal magneto-optical effect induced by all-dielectric resonant gratings based on a magnetic nanocomposite
Authors: Bsawmaii Laure , Gamet Emilie , Lefkir Yaya , Neveu Sophie , Jamon Damien , Royer François 
Published: June 2023

Abstract
The beneficial combination of micro- and nano-patterned surfaces with magneto-optical materials was investigated over the recent years. Due to their resonant behavior, these structures are commonly used to enhance the non-reciprocal magneto-optical effects. In this paper, a novel kind of magneto-optical intensity effect is enhanced with an all-dielectric grating patterned on a magnetic nanocomposite layer. This nanocomposite is made of CoFe2O4 nanoparticles (NPs) embedded in a silica matrix by sol–gel technique. The demonstrated magneto-optical intensity effect is reciprocal and it is observed with transverse magnetic field, for both polarization (TE and TM) and small angles of incidence. Such effect is not explained by the classical appearance of off-diagonal elements in the permittivity tensor of the magneto-optical material under magnetic field. However, it can be attributed to a magneto-induced reciprocal modification of the diagonal elements. Furthermore, this effect strongly depends on the NPs orientation inside the magneto-optical film and can originate from the magnetostrictive property of the magnetic CoFe2O4 NPs.
An insight into the role of titanium oxide nanofiller on the structural, optical, electrical, and dielectric characteristics of PS/PVK composite
Authors: Al-Muntaser A A , Alzahrani Eman , Saeed Abdu , Al Naim Abdullah F , Abo-Dief Hala M , Qusti Safaa Y , Tarabiah A E 
Published: June 2023

Abstract
Nanocomposite films made of polystyrene (PS) and polyvinyl carbazole (PVK) and filled with varying quantities of titanium oxide (TiO2) nanoparticles (NPs) were prepared using the solution casting process. The TiO2 NPs’ impact on the pure PS/PVK blend’s structural, optical, and conductive properties was investigated and explained. X-ray diffraction (XRD) and Transmission electron microscopy (TEM) measurements indicate that the synthesized TiO2 NPs’ size ranges between 12 and 32 nm and has a tetragonal anatase phase. The XRD scans also indicate that the PS/PVK filling with TiO2 NPs decreases the nanocomposite crystallinity. Fourier transform infrared (FTIR) analysis shows the main distinctive absorption peaks of PS and PVK, whose intensities changed randomly after filling. Moreover, the highest TiO2 NPs content showed a new peak at 449 cm−1. The UV/visible measurements showed that the optical energy gaps for the direct and indirect permitted transitions decreased as the TiO2 NPs content increased. Using impedance spectroscopy at room temperature, the AC electrical conductivity of the PS/PVK mixture containing TiO2 NPs was investigated over a broad frequency range from 10−1 to 107 Hz. It has been shown that the frequency dependence of AC electrical conductivity obeys Jonscher’s rule, and the increase of TiO2 NPs concentration in the blend induces the formation of a percolating network within the composite. It has also been shown that the composite’s dielectric loss and constant increase with nanoparticle concentration.
Sorption of metal elements by single-walled carbon nanotubes and x-ray absorption spectroscopy analysis
Authors: Tchienkoua Cetrigue , Thiodjio Sendja Bridinette , Tchenguem Kamto Camile Rodolphe , Tchana Kamgne Duclair , Medellin-Castillo Nahum Andres , Labrada-Delgado Gladis Judith , Ndjaka Jean Marie 
Published: June 2023

AbstractSingle-walled carbon nanotubes (SWCNTs) were used for the sorption of monovalent K(I), divalent Pb(II), Zn(II), and Cd(II) in addition to hexavalent Cr(VI) metal elements from aqueous solutions. X-ray absorption spectroscopy (XAS) was employed for the preliminary characterization of the metals sorbed SWCNTs materials. The adsorption capacities of the investigated metals are associated with the functional groups involved in the sorption mechanism. The sorption and XAS results revealed that hexavalent Cr(VI) was highly adsorbed by SWCNTs. The sorption mechanism of Cr(VI) is associated with the reduction of Cr(VI) to trivalent Cr(III). XAS also suggested that in the environment nearest to the sorbed metals Cr, Pb, Zn, and K, the existing binding interactions are Cr–O, Pb–O, Zn–O, and K–O respectively.
Geometric quantum discord and coherence in a dipolar interacting magnetic system
Authors: Cruz Clebson , Anka Maron F , Rastegar-Sedehi Hamid-Reza , Castro Cleidson 
Published: June 2023

Abstract
The study of low-dimensional metal complexes has revealed fascinating characteristics regarding the ground-state crossover shown by spin-gaped systems. In this context, this work explores the effect of the quantum-level crossing, induced by the magnetic anisotropies of dipolar interaction, on the quantum discord and coherence of a dinuclear spin-1/2 system. The analytical expressions for the quantum discord, based on Schatten 1-norm, and the l
1 norm quantum coherence for dinuclear spin-1/2 systems, are provided in terms of the magnetic anisotropies. The results show that, while the quantum discord has a clear signature of the quantum level-crossing, the basis dependence of the axial quantum coherence hides the crossover regarding the measured basis. Moreover, global coherence was expressed in terms of the co-latitude and longitude angles of the Bloch sphere representation. Through this result, the average quantum coherence is numerically measured in order to obtain a basis-independent perspective for the l
1 quantum coherence. The results show that the average measurement revealed the signature of the energy-level crossover obtained in the measurement of quantum discord, being wholly stored within the correlations of the system, even in the absence of entanglement.
Data-driven and almost model-independent reconstruction of modified gravity
Authors: Mu Yuhao , Li En-Kun , Xu Lixin 
Published: June 2023

AbstractIn this paper, a modified factorμ, which characterizes modified gravity in the linear matter density perturbation theory, is reconstructed in a data-driven and almost model-independent way via Gaussian process by using currently available cosmic observations. Utilizing the Pantheon+ SNe Ia samples, the observed Hubble parameterH(z) and the redshift space distortion fσ8(z) data points, one finds out a time varyingμat low redshifts. The reconstructed μimplies that more complicated modified gravity beyond the simplest general relativity and the Dvali-Gabadadze-Porrati braneworld model is required.