bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of an Addiction Team in a Liver Transplantation Center
Authors: Donnadieu‐Rigole Hélène , Jaubert Laura , Ursic‐Bedoya José , Hanslik Bertrand , Mura Thibault , Gamon Lucie , Faure Stéphanie , Navarro Francis , Perney Pascal , Herrero Astrid , Pageaux Georges‐Philippe 
Published: September 2019

Up to 50% of liver transplantation (LT) recipients with known or clandestine alcohol‐use disorder (AUD) before surgery return to alcohol use after LT. However, only severe alcohol relapse, which varies in frequency from 11% to 26% of patients, has an impact on longterm survival and significantly decreases survival rates after 10 years. Therefore, it is crucial to identify patients with the highest risk of severe relapse in order to arrange specific, standardized monitoring by an addiction team before and after LT. The aims of this study were to describe the effects of combined management of AUD on the rate of severe alcohol relapse and to determine the risk factors before LT that predict severe relapse. Patients transplanted between January 2008 and December 2014 who had met with the LT team’s addiction specialist were included in the study. Patients who exhibited alcohol‐related relapse risk factors received specific addiction follow‐up. A total of 235 patients were enrolled in the study. Most of them were men (79%), and the mean age at the time of the LT was 55.7 years. Severe relapse occurred in only 9% of the transplant recipients. Alcohol‐related factors of severe relapse were a pretransplant abstinence of 6 months and family, legal, or professional consequences of alcohol consumption, whereas the nonalcohol‐related factors were being single and being eligible for a disability pension. In conclusion, the integration of an addiction team in a LT center may be beneficial. The addiction specialist can identify patients at risk of severe relapse in the pretransplantation period and hence arrange for specific follow‐up.
Simultaneous optimization of crusher and phase cycling schemes for magnetic resonance spectroscopy: an extension of dephasing optimization through coherence order pathway selection
Authors: Landheer Karl , Juchem Christoph 
Published: September 2019

PurposeTo extend the dephasing optimization through coherence order pathway selection (DOTCOPS) algorithm, originally designed solely for gradient crusher schemes, to include tailored phase cycling schemes for arbitrary pulse sequences and arbitrary number of coupled spins.Theory and MethodsThe effects all possible nested and cogwheel phase cycling schemes have on the coherence order pathways for an arbitrary experiment are considered. The DOTCOPS algorithm uses a cost function to maximally eliminate unwanted coherence pathways, with schemes preferentially eliminating unwanted coherence pathways that are less affected by the crusher scheme. Efficacy was demonstrated experimentally in 2 separate MR spectroscopy (MRS) sequences: semi–localized adiabatic selective refocusing (sLASER) and MEscher‐GArwood sLASER both with phantom and in vivo experiments.ResultsFor all sequences investigated, cogwheel was found to theoretically outperform typical nested phase cycling schemes. The chosen cogwheel phase cycling schemes through DOTCOPS were found to outperform a typical 2‐step phase cycling scheme in both phantom and in vivo experiments. Both crusher schemes and phase cycling schemes with 8, 16, or 32 steps are presented for 6 of the most common advanced MRS sequences.ConclusionThe DOTCOPS algorithm has been extended to provide optimal crusher and phase cycling schemes considered in tandem. DOTCOPS can be applied to any pulse sequence of interest for any number of coupled spins. DOTCOPS is now able to alleviate the long‐standing issue of designing effective crusher and phase cycling schemes for complex MRS modern sequences and, as a result, is expected to improve the data quality of virtually all applications.
Diagnostic algorithm for ameloblastic carcinoma
Authors: Kase Yutaro , Kasamatsu Atsushi , Saito Tomoaki , Koike Kazuyuki , Iyoda Manabu , Nakashima Dai , Endo‐Sakamoto Yosuke , Sunohara Masataka , Shiiba Masashi , Uzawa Katsuhiro , Tanzawa Hideki 
Published: September 2019

AbstractAmeloblastic carcinoma (AC) is an odontogenic malignant tumor which combines the histological features of ameloblastoma and cytologic atypia. The key point of the diagnosis and clinical characteristics of AC have not been well defined, as it is a rare type of tumor. Hence, in this study, we present’ for better clarity the diagnostic flowchart for AC, ameloblastoma, and metastasizing ameloblastoma.
SoyCSN: Soybean context‐specific network analysis and prediction based on tissue‐specific transcriptome data
Authors: Wang Juexin , Hossain Md Shakhawat , Lyu Zhen , Schmutz Jeremy , Stacey Gary , Xu Dong , Joshi Trupti 
Published: September 2019

AbstractThe Soybean Gene Atlas project provides a comprehensive map for understanding gene expression patterns in major soybean tissues from flower, root, leaf, nodule, seed, and shoot and stem. The RNA‐Seq data generated in the project serve as a valuable resource for discovering tissue‐specific transcriptome behavior of soybean genes in different tissues. We developed a computational pipeline for Soybean context‐specific network (SoyCSN) inference with a suite of prediction tools to analyze, annotate, retrieve, and visualize soybean context‐specific networks at both transcriptome and interactome levels. BicMix and Cross‐Conditions Cluster Detection algorithms were applied to detect modules based on co‐expression relationships across all the tissues. Soybean context‐specific interactomes were predicted by combining soybean tissue gene expression and protein–protein interaction data. Functional analyses of these predicted networks provide insights into soybean tissue specificities. For example, under symbiotic, nitrogen‐fixing conditions, the constructed soybean leaf network highlights the connection between the photosynthesis function and rhizobium–legume symbiosis. SoyCSN data and all its results are publicly available via an interactive web service within the Soybean Knowledge Base (SoyKB) at http://soykb.org/SoyCSN. SoyCSN provides a useful web‐based access for exploring context specificities systematically in gene regulatory mechanisms and gene relationships for soybean researchers and molecular breeders.
Structure–function study of a novel inhibitor of the casein kinase 1 family inArabidopsis thaliana
Authors: Saito Ami N. , Matsuo Hiromi , Kuwata Keiko , Ono Azusa , Kinoshita Toshinori , Yamaguchi Junichiro , Nakamichi Norihito 
Published: September 2019

AbstractCasein kinase 1 (CK1) is an evolutionarily conserved protein kinase family among eukaryotes. Studies in non‐plants have shown CK1‐dependent divergent biological processes, but the collective knowledge regarding the biological roles of plant CK1 lags far behind other members of the Eukarya. One reason for this is that plants have many more genes encoding CK1 than do animals. To accelerate our understanding of the plant CK1 family, a strong CK1 inhibitor that efficiently inhibits multiple members of the CK1 protein family in vivo (i.e.,in planta) is required. Here, we report a novel, specific, and effective CK1 inhibitor in Arabidopsis. Using circadian period‐lengthening activity as an estimation of the CK1 inhibitor effect in vivo, we performed a structure–activity relationship study of analogues of the CK1 inhibitor PHA767491 (1,5,6,7‐tetrahydro‐2‐(4‐pyridinyl)‐4H‐pyrrolo[3,2‐c]pyridin‐4‐one hydrochloride). A propargyl group at the pyrrole nitrogen atom (AMI‐212) or a bromine atom at the pyrrole C3 position (AMI‐23) had stronger CK1 inhibitory activity than PHA767491. A hybrid molecule of AMI‐212 and AMI‐23 (AMI‐331) was about 100‐fold more inhibitory than the parent molecule PHA767491. Affinity proteomics using an AMI‐331 probe showed that the targets of AMI‐331 inhibition are mostly CK1 kinases. As such, AMI‐331 is a potent and selective CK1 inhibitor that shows promise in the research of CK1 in plants.
Photocatalytic Degradation of Metronidazole Using D‐g‐C3N4‐Bi5O7I Composites Under Visible Light Irradiation: Degradation Product, and Mechanisms
Authors: Salimi Maryam , Esrafili Ali , Sobhi Hamid Reza , Behbahani Mohammad , Gholami Mitra , Farzadkia Mahdi , Jafari Ahmad Jonidi , Kalantary Roshanak Rezaei 
Published: September 2019

AbstractHerein, the efficiency of a number of D‐g‐C3N4‐Bi5O7I composites for the photocatalytic degradation of metronidazole (MNZ) was investigated under visible‐light irradiation. Initially, the operating parameters, intermediate products and related mechanisms were thoroughly assessed. The photocatalytic performance of D‐g‐C3N4‐Bi5O7I composites containing 40 wt% D‐g‐C3N4 (D‐CNBi‐40) was almost 4.3 times more efficient than that of the D‐g‐C3N4. Then, the effects of pH and D‐CNBi‐40 dosage on the photocatalytic degradation of MNZ were also studied and the optimum values were set. The optimum photocatalytic efficiency were achieved at pH 10, and carrier dosage of 0.8 g L−1. In another development, it was revealed that the variations in the catalyst performance were negligible over at least four consecutive cyclic runs. The photocurrent response of D‐CNBi‐40 was 0.7μA.cm−1 under visible light irradiation, which was 1.5 and 2.18 times higher than that of Bi5O7I, and D‐g‐C3N4, respectively. The results regarding the radical quenching process demonstrated that •O2–, and h+ were the dominant active species in the degradation of MNZ, whilst •OH played no major role in the respective degredation. In addition, the products generated from the degredation of MNZ were identified by GC/MS. The utiliziation of D‐CNBi‐40 in various water matrices for the degradation of MNZ disclosed that it has a great potential for practical application. Finally, it is thought that this study could be a step forward toward establishing an effective and recycable photocatalytic system in wide variety of aquatic samples.
Cascade of Michael Addition/Retro‐Michael Reaction/Skeletal Rearrangement in the Synthesis of Arylmethylidene Derivatives of Imidazothiazolotriazines
Authors: Izmest'ev Alexei N. , Kim Nikita A. , Karnoukhova Valentina A. , Kolotyrkina Natalya G. , Kravchenko Angelina N. , Gazieva Galina A. 
Published: September 2019

AbstractChemo‐, regio‐ and diastereoselective approach to the synthesis of arylmethylideneimidazothiazolotriazines has been developed based on the Michael addition/retro‐Michael reaction and Michael addition/retro‐Michael reaction/skeletal rearrangement cascade processes in the reactions of imidazo[4,5‐e]thiazolo[3,2‐b][1,2,4]triazines with arylmethylidene derivatives of malononitrile.
Green Approach of Photoinitiated Polymerization Using Monomers Derived from Oleic Acid and Ionic Liquid
Authors: Sanay Berran , Strehmel Bernd , Strehmel Veronika 
Published: September 2019

AbstractBio‐based monomers synthesized from oleic acid mix and nonvolatile ionic liquid monomers were investigated by photo‐DSC using 2,4,6‐trimethylbenzoylphenyl phosphinate (Irgacure® TPO−L) or dibenzoyldiethylgermane (Ivocerin®) as photoinitiator. The results were compared with those obtained for commercial hexanediol‐1,6‐di(meth)acrylate. The ionic liquid monomers (N‐octyl‐N’‐vinylimidazolium bis(trifluoromethylsulfonyl)imide (NTf2) and N‐decyl‐N’‐vinylimidazolium NTf2) showed lower reactivity compared to the diacrylate and slightly higher reactivity than the methacrylates. The vinyl group bound at the imidazolium ring fully converted during photoinitiated polymerization as confirmed by 1H NMR analysis. Final conversion was higher for the imidazole‐functionalized methacrylate derived from fatty acid compared to both the hydroxy‐functionalized derivative and hexandiol‐1,6‐dimethacrylate although the maximum of the polymerization rate was lower for the bio‐based monomers indicating their lower reactivity.
The Practical Method to Synthesize Gold Nanoparticles Supported on Hydrotalcite and Application on Oxidation and Hydration Reactions
Authors: Yao Wei , Wu Qiang , Huang Ronghui , Zhang Yilin , Yang Yongchun , Zhang Liang , Wang Dawei 
Published: September 2019

AbstractA gold nanoparticles‐supported hydrotalcite was developed and employed as a stable and efficient catalyst for the oxidation of styrene and hydration of alkynes. Preparation of the catalyst involves a reaction between and hydration reactions, but also excellent reusability in more than five cycles.AuPPh3Cl and hydrotalcite under mild conditions. The prepared catalyst exhibited not only outstanding catalytic activity for oxidation
Facile Fabrication of NiPt/CNTs as an Efficient Catalyst for Hydrogen Production from Hydrous Hydrazine
Authors: Zhang Mingya , Liu Li , Lu Sheng , Xu Lixin , An Yue , Wan Chao 
Published: September 2019

AbstractHydrogen generation through catalytically hydrous hydrazine has recently emerged as a promising strategy to meet the ever‐increasing demand for sustainable energy. However, it remains a challenging obstacle to design highly active catalysts as well as low‐cost. In this work, we designed a series of NiPt/CNTs catalysts, which were prepared via a facile wet chemical reduction method, employed it in the dehydrogenation of hydrous hydrazine. The crystalline structure, chemical states and morphology of the catalysts were also characterized in detail. Among these catalysts, Ni0.4Pt0.6/CNTs exhibits highest activity with a turnover frequency (TOF) of 1725.3 h−1 at 50 °C and a low Ea of 36.3 kJ/mol. Considering its cost‐effective and high performance, the Ni0.4Pt0.6/CNTs represent a promising catalyst to hydrolyze hydrous hydrazine for hydrogen generation.
Raney Ni as Recyclable and Selective Catalyst for the Reduction of α‐Pinene to cis‐Pinane with NaBH4 at Room Temperature
Authors: Li Kaoxue , Yang Xuhao , Zhao Tingting , Liu Jiaojiao , Liu Jiahui , Li Yucheng , Li Fahui , Tai Xishi , Cao Shuhua 
Published: September 2019

AbstractRaney Ni was introduced to catalyze the reduction of α‐pinene to cis‐pinane by NaBH4 at room temperature. The catalyst showed good activity, selectivity and recyclability in ethanol during the reaction. Deuterium experiments indicated that hydrogen source for the reaction should derive from NaBH4 and ethanol.
Synthesis and Characterization of Cucurbit[6]uril Supported Copper Oxide Nanoparticles, CuO@CB[6]: Application as Nanocatalyst for the Synthesis of 2H‐indazoles
Authors: Verma Shruti , Kujur Shelly , Agrahari Bhumika , Layek Samaresh , Pathak Devendra D. 
Published: September 2019

AbstractFine nanoparticles of CuO, generated in‐situ by the chemical reduction method, were immobilized on cucurbit[6]uril support to afford nanocomposite CuO@CB[6] as an air‐stable green powder. The nanocomposite was fully characterized by various physicochemical techniques, such as FTIR, PXRD, XPS, FESEM, EDX, Elemental mapping, HRTEM, TGA, and ICP‐AES. It has been found to be an efficient heterogeneous nanocatalyst for the synthesis of a series of 2H‐indazoles from aldehyde, amine, and azide, under base‐ and ligand‐free conditions, at a low concentration of the metal (0.2 mole %). The augmented catalytic activity of the CuO NPs is attributed to the fine size of the nanoparticles. The nanocatalyst was retrieved from the reaction mixture by simple filtration and reused up to five times with insignificant deprivation in its catalytic activity. All synthesized 2H‐indazoles were isolated in good to excellent yield (55‐96%) and characterized by 1H and 13C NMR studies. Three new indazoles are additionally characterized by DEPT 135 spectroscopy and HRMS spectra.
Heat Transport in Starch Exposed to Ionizing Radiation: Experiment Versus Theoretical Computer Modeling
Authors: Braşoveanu Mirela , Oane Mihai , Nemţanu Monica R. 
Published: September 2019

AbstractThe paper deals with the experimental and theoretical study of the temperature distribution in granular starch exposed to ionizing radiation. In this respect, corn starch is irradiated by using a field of accelerated electrons of mean energy of 5.5 MeV for a period of 435 s. A sensor is placed inside the starch sample to record the temperature during irradiation and after irradiation until room temperature is reached again. From a theoretical point of view, in order to describe the temperature field, a mathematical model based on the heat equation in Cattaneo‐Vernote formalism is developed and solved by using the integral transform technique on finite domains. The relaxation time (τ0), the “hottest point,” and the maximum temperature reached in the “hottest point” are determined through the proposed model. The knowledge of the thermal field inside the target sample, especially in the “hottest point,” is essential in planning and optimization of the experiments that involves rigorous control of temperature in starch related irradiation applications in order to avoid the thermal runway during experiments.
Automotive wastes
Authors: Giacomin Hannah , Unno Mio , Eichbauer Kelsey , Atkins Carlos 
Published: September 2019

AbstractA review of the literature from 2018 related to automotive wastes is presented. Topics include solid wastes from autobodies, batteries, tires, and vehicle electronics, in addition to sustainable building materials. Treatment and control of automotive pollution is also discussed, as well as potential toxicological and health risks.Practitioner points

Life cycle analyses and sustainable development automotive components were a key focus of the 2018 literature.

Automobiles have been identified as point sources for air and water pollution. Research into energy consumption, emissions control, and catalytic converter behavior was conducted to mitigate the impact of automobile emissions.

Potential non‐point source control measures were identified. These included biological and chemical degradation of pollutants, as well as adsorption of heavy metals.
Recuperative thickening for sludge retention time and throughput management in anaerobic digestion with thermal hydrolysis pretreatment
Authors: Li Baoqiang , Romero Adrian , Wadhawan Tanush , Tobin Michael , Manning Elizabeth , Higgins Matthew , Al‐Omari Ahmed , Murthy Sudhir , Riffat Rumana , De Clippeleir Haydée 
Published: September 2019

AbstractThis study evaluated the application of recuperative thickening (RT) to enhance anaerobic digestion (AD) performance for AD systems with thermal hydrolysis pretreatment (THP). RT was applied for two different reasons: (a) for increasing the sludge retention time (SRT) to degrade slowly hydrolyzable materials more efficiently and (b) for maintaining SRT at decreased hydraulic retention time (HRT) thus showing potential for increased AD throughput rates. A SRT increase from 15 to 30 days by RT application did not improve AD performance or hydrolysis rates significantly as 15‐day SRT was already a factor 2 higher than the estimated washout SRT. When applying RT to increase throughput rates (HRT of 7 days) while maintaining 15‐day SRT, no negative impact on biogas production or hydrolysis kinetics was observed. It was estimated that RT application on THP digesters can increase digester throughput by 100% and thus show clear potential for further AD intensification.Practitioner points

Increased SRT from 15 to 30 days through recuperative thickening application did not improve biogas production.

A lower required minimum SRT (6–7 days) was estimated in THP‐AD systems compared to conventional AD.

Operation at decreased HRT by RT application resulted in similar AD performance under constant organic loading rates.

A 100% increase in throughput rates can be applied using RT without decreasing AD performance.
Die künstliche Intelligenz in der Einzelzellgenomik
Authors: Dickten H. , Kratsch C. , Reiz B. 
Published: September 2019

Zusammenfassung
Die individuelle Zelle stellt die fundamentale Einheit des Lebens dar. Ihre Funktionsweise ist seit Jahrhunderten Gegenstand der biomedizinischen Forschung. Seit Kurzem erlaubt die sogenannte Einzelzellsequenzierung revolutionäre neue Einblicke in die Komposition von Geweben, die Interaktion zwischen Zellen und den Ablauf dynamischer Prozesse. Die damit verbundenen Daten, z. B. aus der Transkriptomik, stellen Analysten jedoch vor neue Herausforderungen. Die Daten sind typischerweise sehr groß, verrauscht und stark mit anderen Informationen vernetzt, sodass herkömmliche Verfahren ausscheiden. Neue, speziell adaptierte Algorithmen aus dem Feld der künstlichen Intelligenz können hier Abhilfe schaffen.
In Verbindung stellen Einzelzellsequenzierung und künstliche Intelligenz mächtige neue Werkzeuge für die biomedizinische Forschung dar und erlauben Einblicke in höchster Auflösung. Wir geben einen kurzen Überblick über beide Technologien und liefern Beispiele für ihre Anwendung im medizinischen Bereich. Wir demonstrieren anschließend beispielhaft, wie Methoden der künstlichen Intelligenz erfolgreich für die Analyse von Einzelzelltranskriptomdaten eingesetzt werden können. Da der korrekte und gewinnbringende Einsatz dieser Methoden weiterhin detailliertes Hintergrundwissen verlangt, ist ein intensivierter Austausch zwischen den Disziplinen unumgänglich. Wir gehen deshalb abschließend auf den Einsatz neuer Plattformen zur Kollaboration und zum Wissensaustausch ein.
Networks for Nonlinear Diffusion Problems in Imaging
Authors: Arridge S. , Hauptmann A. 
Published: September 2019

Abstract
A multitude of imaging and vision tasks have seen recently a major transformation by deep learning methods and in particular by the application of convolutional neural networks. These methods achieve impressive results, even for applications where it is not apparent that convolutions are suited to capture the underlying physics. In this work, we develop a network architecture based on nonlinear diffusion processes, named DiffNet. By design, we obtain a nonlinear network architecture that is well suited for diffusion-related problems in imaging. Furthermore, the performed updates are explicit, by which we obtain better interpretability and generalisability compared to classical convolutional neural network architectures. The performance of DiffNet is tested on the inverse problem of nonlinear diffusion with the Perona–Malik filter on the STL-10 image dataset. We obtain competitive results to the established U-Net architecture, with a fraction of parameters and necessary training data.