bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kroniek Rechtspraak Tuchtrecht
Authors: Bol C.A. , Kastelein W.R. 
Published: October 2019

Kroniek Rechtspraak Tuchtrecht
In deze achtste kroniek Rechtspraak Tuchtrecht die in TvGR wordt gepubliceerd, worden in grote lijnen dezelfde onderwerpen behandeld als in de vorige kroniek. Het gaat dan om uitspraken over ontvankelijkheid en aanverwante procesrechtelijke onderwerpen, vraagstukken rond ouderlijk gezag, hoofdbehandelaarschap en regievoering, bevoegdheid en bekwaamheid, beroepsgeheim en dossiervoering, rapporten en verklaringen, alsmede de (zwaarte van) de door tuchtcolleges opgelegde tuchtmaatregelen.
Beroepsgeheim en verschoningsrecht, reikwijdte discussies
Authors: Kastelein W.R. 
Published: October 2019

Beroepsgeheim en verschoningsrecht, reikwijdte discussies
In dit artikel wordt de reikwijdte van het beroepsgeheim en het verschoningsrecht in de zorg besproken aan de hand van de recente strafrechtelijke, tuchtrechtelijke en civielrechtelijke jurisprudentie. Ten opzichte van wie geldt het beroepsgeheim en welke gronden kunnen er zijn voor doorbreking? Geconstateerd wordt dat de KNMG meldcode kindermishandeling en huiselijk geweld 2018 onvoldoende duidelijkheid biedt.
Kroniek rechtspraak Europees recht
Authors: Groot N.A.D. , Verduijn M.A.M. , Rijken J.J. 
Published: October 2019

Kroniek rechtspraak Europees recht
Deze kroniek bevat een overzicht van de rechtspraak van het Hof van Justitie van de Europese Unie (HvJ EU) en het Gerecht van de Europese Unie (Gerecht EU) op het gebied van het gezondheidsrecht in de afgelopen twee jaar. De precieze kroniekperiode is 1 februari 2017 tot 1 april 2019.
NeoSeekTM STEC: A Multiplex Molecular Method for Detection and Identification of Select Shiga Toxin–Producing Escherichia coli in Beef
Authors: Hosking Edan , Roman Brooke , Alles Susan , Mozola Mark , Hinkley Susanne , Cooper Karen , Keys Danielle , Bastin Benjamin , Thompson Wesley , Donofrio Robert , Chen Yi , Fernandez Maria Cristina , Brodsky Michael 
Published: October 2019

Abstract
Background: NeoSeekTM STEC is a single-source, service-based method for detection and identification of select Shiga toxin–producing Escherichia coli (STEC), including E. coli O157:H7 and STEC of somatic groups O26, O45, O103, O111, O121, and O145. The method is a multiplex molecular method utilizing more than 80 genetic targets to identify STEC in complex matrices such as food enrichment cultures. Objective: A study was conducted to validate the NeoSeek method for detection of select STEC in raw beef trim. Methods: Performance of the NeoSeek STEC method was compared with that of the U.S. Department of Agriculture, Food Safety and Inspection Service reference methods for E. coli O157:H7 and non-O157 STEC for detection of E. coli O157:H7 and E. coli O26:H11 in raw beef trim. Additionally, inclusivity/exclusivity testing and method robustness testing were performed. Results: Results of raw beef trim testing showed no statistically significant differences in performance between the NeoSeek and reference methods in the ability to detect either E. coli O157:H7 or E.coli O26:H11, as determined by probability of detection analysis. Results of inclusivity and exclusivity testing showed 100% expected results with target and nontarget bacteria, with the exception of a single strain of E. coli O157:H7, which was subsequently verified to be stx-negative by PCR. Conclusions and Highlights: NeoSeek STEC is an accurate, reliable method for rapid detection and identification of select STEC in complex populations such as beef trim enrichment cultures.
A Influência do Tempo de Resposta das Aplicações na Interação de Usuários com Limitações Visuais
Authors: Siebra Clauirton 
Published: October 2019

Atualmente, vários guias suportam o desenvolvimento de aplicações móveis que tem o objetivo de oferecer suporte aos aspectos de acessibilidade. Estes guias descrevem um conjunto de requisitos que devem ser considerados durante, por exemplo, a especificação de interfaces e estratégias de interação. Contudo, estes guias não consideram a influência que o tempo de resposta dos sistemas interativos possui em relação à acessibilidade. O objetivo deste estudo é identificar casos concretos que mostram esta influência, gerando conhecimento auxilie nas extensões dos guias. Dois casos são discutidos junto com possíveis estratégias que podem evitar problemas de interação para usuários com limitações visuais.
La chanson politique acteur de l’histoire et levier social de la révolution de juillet 1830 à Paris
Authors: Humeau Hubert 
Published: October 2019

La problématique résumée dans le titre de cet article trouve sa pleine démonstration dans les éléments socio-historiques que nous développons plus bas. Les cas de Pierre-Jean de Béranger et du peuple de France dans les bouleversements que vécut le pays entre 1789 et 1830 offrent un terrain d’observation suffisamment important pour tirer une synthèse claire des processus d’évolution du système, et de ses effets directs et indirects sur les habitus de la collectivité.

Cet article abordera d’abord le fait chansonnier avant sa transformation et son instrumentalisation par le poète ; il développera ensuite les éléments constitutifs, quantitatifs et qualitatifs permettant de vérifier et d’accompagner notre hypothèse ; il synthétisera en enfin la pluralité des fonctions et des missions de la chanson politique, ouvrant des voies de réflexion sur les phénomènes musicaux contemporains.
Ivan vs Staline : Le stalinisme dans la vie quotidienne du soldat soviétique moyen, 1941-1945
Authors: Campeau Marilyn 
Published: October 2019

Cet article rend compte de travaux réalisés dans le cadre de mon mémoire de maitrise. Mes recherches avaient pour premier objectif d’analyser les facteurs qui ont mené à la « barbarisation » d’Ivan, nom générique désignant le soldat soviétique moyen, au cours de la Grande Guerre Patriotique. Mon étude fait la lumière sur les conditions physiques et psychologiques dans lesquelles Ivan a évolué, dans le but d’évaluer comment il fut « brutalisé » par son expérience au front et de juger du rôle joué par l’idéologie du régime dans ce processus. L’analyse d’un corpus de 175 lettres envoyées par des soldats à leurs familles, trouvées dans des recueils publiés et dans des collections d’archives, a permis de mieux cerner les différentes attitudes populaires adoptées par rapport au régime stalinien pendant la guerre.
La connectivité au-delà des frontières : Résolution 40-3 concernant la connectivité écologique, l’adaptation aux changements climatiques et la conservation de la biodiversité
Authors: St-Pierre Danielle , Nappi Antoine , de Bellefeuille Sonia , Lévesque Aubé Andrée-Anne , Martin Sylvie 
Published: October 2019

En août 2016, la Résolution 40-3 (Résolution concernant la connectivité écologique, l’adaptation aux changements climatiques et la conservation de la biodiversité) a été adoptée lors de la 40e Conférence annuelle des gouverneurs de la Nouvelle-Angleterre et des premiers ministres de l’Est du Canada. Par cette résolution, les gouverneurs et les premiers ministres reconnaissent l’importance de la connectivité écologique pour la capacité d’adaptation et la résilience des écosystèmes, de la biodiversité et des communautés humaines face aux changements climatiques. La résolution souligne également l’importance de collaborer par-delà les frontières afin de faire avancer les efforts de conservation et de rétablissement de la connectivité écologique. Les éléments abordés dans la résolution touchent notamment la conservation, la planification de l’utilisation du territoire, la gestion des ressources naturelles et la planification des infrastructures routières. La mise en oeuvre de cette résolution est assurée par un groupe de travail coprésidé par les gouvernements du Québec et du Vermont. D’ici 2020, les activités du groupe de travail viseront à favoriser la mise en oeuvre d’actions concrètes en matière de connectivité écologique.
Conception et construction des aménagements relatifs aux cerfs de Virginie le long de l’autoroute Robert-Cliche (A-73) au Québec
Authors: Vallée Pierre-Michel , Bélanger Jacques , Fortin Jacques 
Published: October 2019

Des mesures d’atténuation des impacts et d’intégration à l’habitat hivernal du cerf de Virginie (Odocoileus virginianus) ont été appliquées à un projet autoroutier de plus de 50 km dans la région de la Chaudière-Appalaches, au Québec. Des clôtures hautes, des rampes de fuite ou sautoirs, des passages fauniques et d’autres mesures ont été conçus et construits en plusieurs séquences sur une période de 12 ans, soit de 2004 à 2016. Outre la description des aménagements et des enjeux propres à chacun, l’article expose différents problèmes rencontrés ainsi que l’évolution qu’ils ont induite dans la conception et la mise en place des aménagements. Des suggestions sont énoncées à l’intention des concepteurs de projets routiers incluant de telles mesures. Elles soulignent notamment l’importance de déterminer leur emplacement sur la base d’observations faites sur le terrain, avant et pendant la réalisation des travaux, et celle d’émettre des directives précises dans les documents contractuels et lors de la surveillance de chantier, afin de favoriser le maintien de la végétation aux abords des aménagements.
Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats
Authors: Liu Yong , Munteanu Cristian R. , Yan Qiongxian , Pedreira Nieves , Kang Jinhe , Tang Shaoxun , Zhou Chuanshe , He Zhixiong , Tan Zhiliang 
Published: October 2019

Background
In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction (MNR) in gestation has proven to impact overall growth, bone development, and proliferation and metabolism of mesenchymal stem cells in offspring. However, the efficient method for elucidation of fetal bone development performance through maternal bone metabolic biochemical markers remains elusive.

Methods
We adapted goats to elucidate fetal bone development state with maternal serum bone metabolic proteins under malnutrition conditions in mid- and late-gestation stages. We used the experimental data to create 72 datasets by mixing different input features such as one-hot encoding of experimental conditions, metabolic original data, experimental-centered features and experimental condition probabilities. Seven Machine Learning methods have been used to predict six fetal bone parameters (weight, length, and diameter of femur/humerus).

Results
The results indicated that MNR influences fetal bone development (femur and humerus) and fetal bone metabolic protein levels (C-terminal telopeptides of collagen I, CTx, in middle-gestation and N-terminal telopeptides of collagen I, NTx, in late-gestation), and maternal bone metabolites (low bone alkaline phosphatase, BALP, in middle-gestation and high BALP in late-gestation). The results show the importance of experimental conditions (ECs) encoding by mixing the information with the serum metabolic data. The best classification models obtained for femur weight (Fw) and length (FI), and humerus weight (Hw) are Support Vector Machines classifiers with the leave-one-out cross-validation accuracy of 1. The rest of the accuracies are 0.98, 0.946 and 0.696 for the diameter of femur (Fd), diameter and length of humerus (Hd, Hl), respectively. With the feature importance analysis, the moving averages mixed ECs are generally more important for the majority of the models. The moving average of parathyroid hormone (PTH) within nutritional conditions (MA-PTH-experim) is important for Fd, Hd and Hl prediction models but its removal for enhancing the Fw, Fl and Hw model performance. Further, using one feature models, it is possible to obtain even more accurate models compared with the feature importance analysis models. In conclusion, the machine learning is an efficient method to confirm the important role of PTH and BALP mixed with nutritional conditions for fetal bone growth performance of goats. All the Python scripts including results and comments are available into an open repository at https://gitlab.com/muntisa/goat-bones-machine-learning.
The LET enhancement of energy‐specific collimation in pencil beam scanning proton therapy
Authors: Smith Blake R. , Hyer Daniel E. 
Published: December 2024

AbstractPurposeTo computationally characterize the LET distribution during dynamic collimation in PBS and quantify its impact on the resultant dose distribution.MethodsMonte Carlo simulations using Geant4 were used to model the production of low‐energy proton scatter produced in the collimating components of a novel PBS collimator. Custom spectral tallies were created to quantify the energy, track‐ and dose‐averaged LET resulting from individual beamlet and composite fields simulated from a model of the IBA dedicated nozzle system. The composite dose distributions were optimized to achieve a uniform physical dose coverage of a cubical and pyramidal target, and the resulting dose‐average LET distributions were calculated for uncollimated and collimated PBS deliveries and used to generate RBE‐weighted dose distributions.ResultsFor collimated beamlets, the scattered proton energy fluence is strongly dependent on collimator position relative to the central axis of the beamlet. When delivering a uniform profile, the distribution of dose‐average LET was nearly identical within the target and increased between 1 and within 10 mm surrounding the target. Dynamic collimation resulted in larger dose‐average LET changes: increasing the dose‐average LET between 1 and within 10 mm of a pyramidal target while reducing the dose‐average LET outside this margin by as much as . Biological dose distributions are improved with energy‐specific collimation in reducing the lateral penumbra.ConclusionThe presence of energy‐specific collimation in PBS can lead to dose‐average LET changes relative to an uncollimated delivery. In some clinical situations, the placement and application of energy‐specific collimation may require additional planning considerations based on its reduction to the lateral penumbra and increase in high‐dose conformity. Future applications may embody these unique dosimetric characteristics to redirect high‐LET portions of a collimated proton beamlet from healthy tissues while enhancing the dose‐average LET distribution within target.
A five‐fold twin structure copper for enhanced electrocatalytic nitrogen reduction to sustainable ammonia
Authors: Yan Xiaoqing , Zhao Ying , Zhang Yuzhe , Wang Bowen , Fan Hanhong , Ou Honghui , Hou Xuelan , Huang Qizhong , Hu Huagui , Yang Guidong 
Published: December 2024

AbstractUtilizing N₂ from the air and water for the electrocatalytic nitrogen reduction reaction shows promise for NH₃ synthesis under mild conditions. However, the chemical stability of N₂ and the thermodynamic limitations of NH₃ synthesis hinder its effectiveness. Herein, we integrated a specially designed Cu nanowire catalyst with a five‐fold twin structure (T‐CuNW) into an electrocatalytic system, combining electrocatalytic nitrogen reduction with nonthermal plasma‐assisted N₂ activation. This work achieved an NH₃ yield of 45 mg·mgcat.−1·h−1 and a Faradaic efficiency of over 95% at −0.5 V versus RHE after a 90‐h stability test. In situ characterization revealed that the T‐CuNW's twin structure plays a crucial role for the generation of a large quantity of Hads, essential for the hydrogenation of nitrate intermediates, particularly nitrite (NO₂−). This enhanced hydrogenation process significantly contributes to the high performance of the ammonia synthesis system.
Scaling relationships of lamina mass per unit area, mean thickness, and leaf bulk tissue density across nine diverse species
Authors: Shi Peijian , Deng Linli , Miao Qinyue , Chen Long , Yu Han , Zhu Fuyuan , Niklas Karl J. 
Published: December 2024

AbstractPremiseAlthough previous studies have reported a positive correlation between leaf dry mass per unit area (LMA) and mean leaf thickness (LT), the LMA versus LT scaling relationship has not been determined due to limited sample sizes, despite its importance in estimating leaf bulk tissue density (mass per unit volume).MethodsThis issue was addressed using between 174 and 185 leaves from each of nine phylogenetically diverse species to investigate the LMA vs. LT scaling relationship. For each leaf, lamina thickness was measured at 12 positions (avoiding midribs and major veins) to calculate LT, and LMA was measured based on leaf area and dry mass measurements. Reduced major axis regression protocols were used to determine the LMA vs. LT scaling exponent (i.e., the slope). Bootstrap percentile methods were used to calculate the 95% confidence intervals of slopes.ResultsA statistically significant LMA vs. LT relationship was found for each species; seven of the nine scaling exponents were significantly greater than unity indicating that LMA (and thus leaf bulk tissue density) disproportionately increased with increasing LT. In addition, the conspecific variation in LMA exceeded the interspecific variation in LMA as a consequence of differences in LT.ConclusionsThese results indicate that empirical measurements of LMA and LT can be used to accurately estimate leaf bulk tissue density, which provides insights into adaptive life‐history strategies, conspecific variation, and (with sufficiently large data sets) phylogenetic trends.
Sorbent‐Based Sampling With Two‐Stage Trapping/Desorption Coupled to Comprehensive Two‐Dimensional Gas Chromatography and Mass Spectrometry for Terpenoids Profiling in Cannabis
Authors: De Poli Marco , Chenet Tatiana , Felletti Simona , Spadafora Damiana , Cavazzini Alberto , Franchina Flavio A. 
Published: December 2024

ABSTRACTCannabis inflorescences represent an important source of many high‐value bioactive specialized metabolites, among which the family of terpenes or terpenoids that are the largest classes of natural products known. Besides their biological activities either alone or synergistic with other terpenoids and/or cannabinoids, they are responsible for their distinctive flavour. In this study, we exploited the separation power and identification capabilities of comprehensive two‐dimensional gas chromatography coupled to mass spectrometry (GC×GC‐MS) for the profiling of terpenes and terpenoids in cannabis inflorescences. The dynamic headspace (DHS) used herein for the extraction was chosen for its sensitivity, portability, suitability, as well as its versatility of sampling various natural products, including plant raw materials and different plant parts. The enrichment method and the following desorption into the GC were developed and optimized on both standards and real samples considering different sorbent traps (i.e. Tenax‐TA, Carbotrap T420, Carbotrap 202), and evaluating key performance values. Analyte coverage, recovery and response reproducibility were used for the evaluation of the best performing thermal desorption tube. Considering terpenoids profiling on cannabis inflorescences, satisfactory extraction performance was observed with both Tenax‐TA and Carbotrap T420. However, Tenax‐TA provided a wider analyte coverage beyond the class of terpenoids, thus can be better suited for non‐targeted analysis. On the other hand, peak width, peak height, peak quality and resolution were considered for the optimization of the chromatographic process, and more specifically the injection process, demonstrating the benefit of a secondary trapping/desorption stage with a cryotrap. Finally, considering the final DHSE‐TD‐GC×GC‐MS conditions, terpenes and terpenoids were profiled in real‐world cannabis inflorescences, highlighting the differences among the chemovars.
Combining Thermogravimetry‐Mass Spectrometry and Target Factor Analysis for Rapid Characterization of Volatiles from Degradation of Epoxy Paint
Authors: Saha Subhamoy , Shirsat Ajit N. , Tripathi V. S. , Varma Salil , Pandiyathuray Mathi 
Published: December 2024

ABSTRACTThermogravimetry coupled with simultaneous evolved gas analysis by mass spectrometry was used for discerning organic compounds released during the thermal degradation of paint whose chemical compositions are not readily accessible. Thermogravimetric analyses up to 600°C revealed distinct degradation patterns under inert and oxidative conditions. Significant degradation of paint initiates at around 360°C and concludes at 500°C in a nitrogen atmosphere. However, under oxidative conditions, degradation began at 100°C, with notable mass loss extending from 300 to 600°C, with a distinct event at 500°C. Moreover, the overall mass loss in air has been observed to be 3% higher than that in nitrogen. The rapid characterization of the volatiles was made possible by model‐free target factor analyses of evolved gas mass spectra. The temperature‐correlated mass analyses revealed potential volatile sources, including structural breakdown and oxidative conversion. Comparative analyses revealed predominantly oxidative conversion of organics to CO2 during degradation in air. The evolution of several classes of organics during the thermal degradation of paint is a matter of great concern for postulated accident scenarios in nuclear power plants. The low molecular weight organic volatiles may be taken up by iodine aerosols released into the containment during an accident, potentially forming organic iodides, which are biological hazards. Thus, identifying these volatile organics is crucial for accurately estimating the source term of volatile organic iodine.
A Comprehensive Review of Mxene‐Based Emerging Materials for Energy Storage Applications and Future Perspectives
Authors: Gokul Eswaran Surulivel , Rashad Mohamed , Santhana Krishna Kumar Alagarsamy , EL‐Mahdy Ahmed F. M. 
Published: December 2024

AbstractMXenes is a rapidly emerging class of two‐dimensional (2D) materials. It exhibits unique properties that make it suitable for a wide range of applications. This review provides a comprehensive overview of the synthesis and processing techniques for MXenes including both bottom‐up and top‐down approaches. The synthesis of MXene‐based composites is explored in detail focusing on Mxene‐carbon composites, Mxene‐metal oxides, Mxene‐metal sulfides, Mxene‐polymer composites and MXene‐ceramic composites. Key properties of MXenes are examined including structural, electrical, morphological, optical, mechanical, chemical stability, electrical and thermal properties, conductivity, magnetic properties, dielectric charge and catalytic properties. Characterization techniques used to study these properties is also reviewed. Their 2D structure provides a high surface area and unique interlayer spacing, making MXenes ideal for applications in energy storage devices (like supercapacitors and batteries) where surface area and ion transport are critical for performance. The diverse applications of MXenes are presented emphasizing their use in batteries, catalysis, sensors, environmental remediation and supercapacitors. Special attention is given to the supercapacitor applications of MXenes of their potential in energy storage devices. Due to their high capacitance, fast charge/discharge rates, and excellent stability, MXenes are used in supercapacitors, lithium‐ion batteries, and sodium‐ion batteries. They can store energy more efficiently than many other materials, making them valuable in the quest for efficient, sustainable energy solutions. The progress in MXene supercapacitor devices is providing insights into the latest advancements and future prospects. MXenes are highlighted as versatile materials with significant potential in various technological fields particularly in energy storage. Future research directions and challenges are also outlined for ongoing and future studies in this dynamic area of materials science.