bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brexit: de gevolgen voor forumkeuzeclausules en de erkenning en tenuitvoerlegging van rechterlijke beslissingen in burgerlijke en handelszaken
Authors: Zilinsky Marek 
Published: May 2021

Brexit: de gevolgen voor forumkeuzeclausules en de erkenning en tenuitvoerlegging van rechterlijke beslissingen in burgerlijke en handelszaken
In deze bijdrage komt de beoordeling van een forumkeuze voor de Nederlandse rechter en voor de Engelse rechter in burgerlijke en handelszaken na Brexit aan de orde. Aansluitend wordt aandacht besteed aan de grensoverschrijdende erkenning en tenuitvoerlegging van beslissingen gegeven door deze rechters. Op deze terreinen is na Brexit veel onduidelijkheid in verhouding tussen Nederland en het Verenigd Koninkrijk ontstaan.
El cuento más allá de la tradición literaria: el Taketori Monogatari como paradigma de la globalización de referencias culturales
Authors: Ojeda García Francisco Miguel , Quintairos-Soliño Alba 
Published: May 2021

El Taketori Monogatari («El cuento del cortador de bambú») es considerado uno de los cuentos favoritos de los japoneses. Escrito en Japón durante la era Heian (794–1185), el cuento de Kaguya, una cautivadora princesa procedente de la luna, inspira todo tipo de obras, de películas a videojuegos. Los elementos que conforman esta historia se han convertido en referencias culturales reconocibles tanto fuera como dentro del territorio nipón. Nuestro objetivo es cartografiar las formas en que este cuento tradicional ha trascendido el mundo literario y ha pasado a formar parte de todo un repertorio de obras contemporáneas japonesas, centrándonos, concretamente, en las producciones anime (animación, manga y videojuegos). Gracias al análisis de una selección de 18 casos en los que hemos explorado el nivel de adaptación del argumento, la presencia de tropos y las reconversiones de Kaguya, hemos concluido que: a) existen varios grados de fidelidad en las formas anime de narrar el Taketori Monogatari; b) estas encuentran su lógica en la necesidad de adaptar su historia a los imponderables de la sociedad japonesa actual; y c) el anime posee una gran función pedagógica, pues, mientras vehicula transnacionalmente este cuento tradicional, también permite su aprendizaje a escala global.
El paisaje lingüístico de la migración en el barrio de Ruzafa en Valencia: una mirada a través del tiempo
Authors: Gómez-Pavón Durán Ana , Quilis Merín Mercedes 
Published: May 2021

Esta investigación estudia el paisaje lingüístico del barrio de Ruzafa en Valencia (España), conocido por su carácter multicultural y multilingüístico debido al establecimiento de población migrante en las últimas décadas del siglo XX y a su transformación en un espacio turístico como consecuencia del proceso de gentrificación en los primeros años del siglo XXI. El objetivo es explorar a través de los signos del paisaje lingüístico los cambios socio-demográficos desde un enfoque diacrónico y contrastivo. La metodología está basada en la utilización combinada de la herramienta Google Street View y con la toma de signos en los mismos espacios del barrio, con lo que se ha configurado un corpus fotográfico de 212 signos, imágenes de rótulos de comercios privados del barrio, de los años 2008 y 2018. El análisis de las lenguas que aparecen en los signos y cómo se relacionan entre sí nos ha permitido conocer el grado y el tipo de multilingüismo que han aportado al barrio en estos dos puntos de su historia los diferentes grupos de población, especialmente los de origen migrante, y las consecuencias lingüísticas de la gentrificación sobre su paisaje lingüístico.
Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers
Authors: Mosquera Navarro Rodolfo , Castrillón Omar Danilo , Parra Osorio Liliana , Oliveira Tiago , Novais Paulo , Valencia José Fernando 
Published: May 2021

Background
Psychosocial risks, also present in educational processes, are stress factors particularly critical in state-schools, affecting the efficacy, stress, and job satisfaction of the teachers. This study proposes an intelligent algorithm to improve the prediction of psychosocial risk, as a tool for the generation of health and risk prevention assistance programs.

Methods
The proposed approach, Physical Surface Tension-Neural Net (PST-NN), applied the theory of superficial tension in liquids to an artificial neural network (ANN), in order to model four risk levels (low, medium, high and very high psychosocial risk). The model was trained and tested using the results of tests for measurement of the psychosocial risk levels of 5,443 teachers. Psychosocial, and also physiological and musculoskeletal symptoms, factors were included as inputs of the model. The classification efficiency of the PST-NN approach was evaluated by using the sensitivity, specificity, accuracy and ROC curve metrics, and compared against other techniques as the Decision Tree model, Naïve Bayes, ANN, Support Vector Machines, Robust Linear Regression and the Logistic Regression Model.

Results
The modification of the ANN model, by the adaptation of a layer that includes concepts related to the theory of physical surface tension, improved the separation of the subjects according to the risk level group, as a function of the mass and perimeter outputs. Indeed, the PST-NN model showed better performance to classify psychosocial risk level on state-school teachers than the linear, probabilistic and logistic models included in this study, obtaining an average accuracy value of 97.31%.

Conclusions
The introduction of physical models, such as the physical surface tension, can improve the classification performance of ANN. Particularly, the PST-NN model can be used to predict and classify psychosocial risk levels among state-school teachers at work. This model could help to early identification of psychosocial risk and to the development of programs to prevent it.
Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Authors: Kumar Vijay , Singh Dilbag , Kaur Manjit , Damaševičius Robertas 
Published: May 2021

BackgroundUntil now, there are still a limited number of resources available to predict and diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 patients is an open area of research. Also, the development of the COVID-19 rapid testing kits is still a challenging task.MethodologyThis review focuses on two prime challenges caused by urgent needs to effectively address the challenges of the COVID-19 pandemic, i.e., the development of COVID-19 classification tools and drug discovery models for COVID-19 infected patients with the help of artificial intelligence (AI) based techniques such as machine learning and deep learning models.ResultsIn this paper, various AI-based techniques are studied and evaluated by the means of applying these techniques for the prediction and diagnosis of COVID-19 disease. This study provides recommendations for future research and facilitates knowledge collection and formation on the application of the AI techniques for dealing with the COVID-19 epidemic and its consequences.ConclusionsThe AI techniques can be an effective tool to tackle the epidemic caused by COVID-19. These may be utilized in four main fields such as prediction, diagnosis, drug design, and analyzing social implications for COVID-19 infected patients.
Tumor Therapy with Amanita phalloides: Benefits and Limitation
Authors: Riede Isolde 
Published: May 2021

Background: Classical tumor treatments can fail: surgeries, radiation and chemotherapy not always elongate the life span. Less destructive treatments are possible nowadays. To find and analyse the efficiency of alternate treatments, long term case reports are essential.
Aim: To determine long term analyses of Amanita treatment in patients with different tumor types.
Methods: Patients are treated with Amanita alone, as long as the tumor growth of cells can be retarded. Other anti tumor therapies are applied in addition, when the retardation of the tumor growth is not sufficiently manageable with Amanita alone. The treatments with Amanita are supported by application of Terebinthina laricina in intervals to eliminate Borrelia.
Results: The state of a patient with a thyroid-carcinoma and a rectum-carcinoma can be stabilized for ten years with Amanita alone, until her age of 90 years. The patient cannot further tolerate uptake of Amanita. Thyroid cells start to grow, rectum-carcinoma cells grow slower. The disease state of a patient with prostate-carcinoma can be stabilized with Amanita alone for six years. Other therapies are applied from then on in intervals in addition for further six years. No chemotherapy or radiation is applied. The patient died at the age of 84 with metastases. A patient with B-cell chronic lymphatic leukemia is treated with Amanita as sole antitumor therapy for eleven years. After that period, no further antitumor treatment is necessary, the patient lives now with high but stable leukocyte count for two years after the end of the Amanita therapy.
Conclusions: Amanita can inhibit tumor growth of different tumor types for a long period of time, elongation of the life span is possible. A synergistic effect of anti-Borrelia treatment is observed. Occasionally the tumor growth of cells stops without further anti tumor therapy, and no correlation with the origin can be identified.
Evaluation of candidate template beam models for a matched TrueBeam treatment delivery system
Authors: Hansen Jon B. , Frigo Sean P. 
Published: May 2021

AbstractPurposeTo explore candidate RayStation beam models to serve as a class‐specific template for a TrueBeam treatment delivery system.MethodsEstablished validation techniques were used to evaluate three photon beam models: a clinically optimized model from the authors’ institution, the built‐in RayStation template, and a hybrid consisting of the RayStation template except substituting average MLC parameter values from a recent IROC survey. Comparisons were made for output factors, dose profiles from open fields, as well as representative VMAT test plans.ResultsFor jaw‐defined output factors, each beam model was within 1.6% of expected published values. Similarly, the majority (57–66%) of jaw‐defined dose curves from each model had a gamma pass rate >95% (2% / 3 mm, 20% threshold) when compared to TrueBeam representative beam data. For dose curves from MPPG 5.a MLC‐defined fields, average gamma pass rates (1% / 1 mm, 20% threshold) were 92.9%, 85.1%, and 86.0% for the clinical, template, and hybrid models, respectively. For VMAT test plans measured with a diode array detector, median dose differences were 0.6%, 1.3%, and 1.1% for the clinical, template, and hybrid models, respectively. For in‐phantom ionization chamber measurements with the same VMAT test plans, the average percent difference was −0.3%, −1.4%, and −1.0% for the clinical, template, and hybrid models, respectively.ConclusionBeam model templates taken from the vendor and aggregate results within the community were both reasonable starting points, but neither approach was as optimal as a clinically tuned model, the latter producing better agreement with all validation measurements. Given these results, the clinically optimized model represents a better candidate as a consensus template. This can benefit the community by reducing commissioning time and improving dose calculation accuracy for matched TrueBeam treatment delivery systems.
Evaluation of the dosimetric effect of scattered protons in clinical practice in passive scattering proton therapy
Authors: Kim Chankyu , Kim Yeon‐Joo , Lee Nuri , Ahn Sang Hee , Kim Kwang Hyeon , Kim Haksoo , Shin Dongho , Lim Young Kyung , Jeong Jong Hwi , Kim Dae Yong , Shin Wook‐Geun , Min Chul Hee , Lee Se Byeong 
Published: May 2021

AbstractThe present study verified and evaluated the dosimetric effects of protons scattered from a snout and an aperture in clinical practice, when a range compensator was included. The dose distribution calculated by a treatment planning system (TPS) was compared with the measured dose distribution and the dose distribution calculated by Monte Carlo simulation at several depths. The difference between the measured and calculated results was analyzed using Monte Carlo simulation with filtration of scattering in the snout and aperture. The dependence of the effects of scattered protons on snout size, beam range, and minimum thickness of the range compensator was also investigated using the Monte Carlo simulation. The simulated and measured results showed that the additional dose compared with the results calculated by the TPS at shallow depths was mainly due to protons scattered by the snout and aperture. This additional dose was filtered by the structure of the range compensator so that it was observed under the thin region of the range compensator. The maximum difference was measured at a depth of 16 mm (8.25%), with the difference decreasing with depth. Analysis of protons contributing to the additional dose showed that the contribution of protons scattered from the snout was greater than that of protons scattered from the aperture when a narrow snout was used. In the Monte Carlo simulation, this effect of scattered protons was reduced when wider snouts and longer‐range proton beams were used. This effect was also reduced when thicker range compensator bases were used, even with a narrow snout. This study verified the effect of scattered protons even when a range compensator was included and emphasized the importance of snout‐scattered protons when a narrow snout is used for small fields. It indicated that this additional dose can be reduced by wider snouts, longer range proton beams, and thicker range compensator bases. These results provide a better understanding of the additional dose from scattered protons in clinical practice.
Transcatheter Heart Valves: A Biomaterials Perspective
Authors: Bui Hieu T. , Khair Nipa , Yeats Breandan , Gooden Shelley , James Susan P. , Dasi Lakshmi Prasad 
Published: May 2021

AbstractHeart valve disease is prevalent throughout the world, and the number of heart valve replacements is expected to increase rapidly in the coming years. Transcatheter heart valve replacement (THVR) provides a safe and minimally invasive means for heart valve replacement in high‐risk patients. The latest clinical data demonstrates that THVR is a practical solution for low‐risk patients. Despite these promising results, there is no long‐term (>20 years) durability data on transcatheter heart valves (THVs), raising concerns about material degeneration and long‐term performance. This review presents a detailed account of the materials development for THVRs. It provides a brief overview of THVR, the native valve properties, the criteria for an ideal THV, and how these devices are tested. A comprehensive review of materials and their applications in THVR, including how these materials are fabricated, prepared, and assembled into THVs is presented, followed by a discussion of current and future THVR biomaterial trends. The field of THVR is proliferating, and this review serves as a guide for understanding the development of THVs from a materials science and engineering perspective.
Nerve Guidance Conduits with Hierarchical Anisotropic Architecture for Peripheral Nerve Regeneration
Authors: Lu Qingqing , Zhang Feng , Cheng Weinan , Gao Xiang , Ding Zhaozhao , Zhang Xiaoyi , Lu Qiang , Kaplan David L. 
Published: May 2021

AbstractNerve guidance conduits with multifunctional features could offer microenvironments for improved nerve regeneration and functional recovery. However, the challenge remains to optimize multiple cues in nerve conduit systems due to the interplay of these factors during fabrication. Here, a modular assembly for the fabrication of nerve conduits is utilized to address the goal of incorporating multifunctional guidance cues for nerve regeneration. Silk‐based hollow conduits with suitable size and mechanical properties, along with silk nanofiber fillers with tunable hierarchical anisotropic architectures and microporous structures, are developed and assembled into conduits. These conduits supported improves nerve regeneration in terms of cell proliferation (Schwann and PC12 cells) and growth factor secretion (BDNF, brain‐derived neurotrophic factor) in vitro, and the in vivo repair and functional recovery of rat sciatic nerve defects. Nerve regeneration using these new conduit designs is comparable to autografts, providing a path towards future clinical impact.
Programmable Reflection–Transmission Shared‐Aperture Metasurface for Real‐Time Control of Electromagnetic Waves in Full Space
Authors: Bao Lei , Ma Qian , Wu Rui Yuan , Fu Xiaojian , Wu Junwei , Cui Tie Jun 
Published: May 2021

AbstractRecently, programmable metamaterials or metasurfaces have been developed to dynamically edit electromagnetic waves for realizing different functions in the same platform. However, the proposed programmable metasurfaces can only control reflected or transmitted wavefronts in half‐space. Here, a “Janus” digital coding metasurface with the capabilities to program various electromagnetic functions in the reflected (with R‐codes) and transmitted (with T‐codes) waves simultaneously is presented. Three PIN diodes are employed to design the metaparticle, and the state of the PIN diodes can be switched to change the reflected and transmitted phases independently. Three schemes achieved by the proposed programmable metasurface are provided as illustrative examples, including anomalous deflections, beam focusing, and scattering reduction in the full space. As a proof‐of‐concept, a prototype composed of 10 × 20 metaparticles is fabricated and the measured results are in good agreement with the designs and numerical results, validating the full‐space modulations enabled by the programmable metasurface. It is expected that the new programmable metasurface can broaden the applications in stealth technologies, imaging systems, and the next generation of wireless communications.
Production practices that maximize soybean yield: What we have learned from the North Carolina soybean yield contest
Authors: Vann Rachel A. , Drake‐Stowe Katherine , Buol Greg S. , Dunphy E. Jim 
Published: May 2021

AbstractAgronomic production practices associated with high‐yielding soybean [Glycine max (L.) Merr.] in North Carolina can be used to inform production recommendations across the southeastern United States. The 877 individual entries submitted from 2002 to 2019 into the North Carolina Soybean Yield Contest (SYC) were analyzed with the objectives to describe the production practices associated with high‐yielding soybean in North Carolina and to identify management strategies for increasing soybean yield in the southeastern U.S. region. From 2002 to 2019, SYC entries averaged 4,379 kg ha–1. The three most important management practices influencing soybean yield were maturity group (MG), foliar fungicide use, and planting date. Using a MG IV or earlier variety provided a 1,199 kg ha–1 yield advantage across all entries. When MG ≤ IV was used, foliar fungicide use provided a 754 kg ha–1 yield protection and when MG > IV was used fungicide use provided a 640 kg ha–1 yield protection. Planting dates earlier than 12 May generally provided more yield benefit when earlier maturing varieties were used. Herbicide and insecticide use, irrigation, fungicidal and inoculant seed treatments, tillage, and row spacing were less important predictors of soybean yield. Soybean producers can implement several of these identified management strategies without additional economic investment in an effort to increase soybean yield and profitability in the southeastern U.S. region.
Pesticide exposure among Latinx child farmworkers in North Carolina
Authors: Arcury Thomas A. , Chen Haiying , Arnold Taylor J. , Quandt Sara A. , Anderson Kim A. , Scott Richard P. , Talton Jennifer W. , Daniel Stephanie S. 
Published: May 2021

AbstractBackgroundAlthough pesticides have adverse effects on child health and development, little research has examined pesticide exposure among child farmworkers. This analysis addresses two specific aims: (1) describes pesticide exposure among Latinx child farmworkers in North Carolina, and (2) delineates factors associated with this pesticide exposure.MethodsIn 2018 (n = 173) and 2019 (n = 156) Latinx child farmworkers completed interviews and wore silicone wristbands for a single day to measure pesticide exposure. Wristbands were analyzed for 70 pesticides.ResultsMost Latinx child farmworkers were exposed to multiple pesticides; the most frequent were pyrethroids (69.9% in 2018, 67.9% in 2019), organochlorines (51.4% in 2018, 55.1% in 2019), and organophosphates (51.4% in 2018, 34.0% in 2019). Children were exposed to a mean of 2.15 pesticide classes in 2018 and 1.91 in 2019, and to a mean of 4.06 pesticides in 2018 and 3.34 in 2019. Younger children (≤15 years) had more detections than older children; children not currently engaged in farm work had more detections than children currently engaged in farm work. Migrant child farmworkers had more detections than nonmigrants. For specific pesticides with at least 20 detections, detections and concentrations were generally greater among children not currently engaged in farm work than children currently engaged.ConclusionsChildren who live in farmworker communities are exposed to a plethora of pesticides. Although further research is needed to document the extent of pesticide exposure and its health consequences, sufficient information is available to inform the policy needed to eliminate this pesticide exposure in agricultural communities.
Regioselective Base‐controlled Pd‐catalyzed Arylation of Imidazo[1,2‐a]pyridines: leading selectivity at C8 position by N‐chelation over O‐chelation
Authors: Tali Javeed Ahmad , Singh Davinder , Kumar Gulshan , Shankar Ravi 
Published: May 2021

AbstractA base controlled operationally simple catalytic system for the regioselective arylation of 2‐aryl‐imidazo[1,2‐a]pyridine by Pd catalyzed C−H activation has been developed. Herein, we report Pd/Ag2CO3 promoted C8 arylation of the heterocycles by overriding the N‐chelation on O‐chelation. In this way, various examples have been synthesized in good to excellent yield. Furthermore, Pd/t‐BuOK system has been developed for the novel deformylative C3 arylation of 2‐aryl‐imidazo[1,2‐a]pyridine. The choice of the catalytic system is also demonstrated for heteroarylation. Both standardized protocols have been explored with broad substrate scope and good functional group tolerance.
Suicide risk in first year after dementia diagnosis in older adults
Authors: Schmutte Timothy , Olfson Mark , Maust Donovan T. , Xie Ming , Marcus Steven C. 
Published: May 2021

AbstractIntroductionReceiving a diagnosis of Alzheimer's disease or related dementias (ADRD) can be a pivotal and stressful period. We examined the risk of suicide in the first year after ADRD diagnosis relative to the general geriatric population.MethodsWe identified a national cohort of Medicare fee‐for‐service beneficiaries aged ≥ 65 years with newly diagnosed ADRD (n = 2,667,987) linked to the National Death Index.ResultsThe suicide rate for the ADRD cohort was 26.42 per 100,000 person‐years. The overall standardized mortality ratio (SMR) for suicide was 1.53 (95% confidence interval [CI] = 1.42, 1.65) with the highest risk among adults aged 65 to 74 years (SMR = 3.40, 95% CI = 2.94, 3.86) and the first 90 days after ADRD diagnosis. Rural residence and recent mental health, substance use, or chronic pain conditions were associated with increased suicide risk.DiscussionResults highlight the importance of suicide risk screening and support at the time of newly diagnosed dementia, particularly for patients aged < 75 years.