bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surgical resection and survival outcomes in metastatic young adult colorectal cancer patients
Authors: Arhin Nina D. , Shen Chan , Bailey Christina E. , Matsuoka Lea K. , Hawkins Alexander T. , Holowatyj Andreana N. , Ciombor Kristen K. , Hopkins Michael B. , Geiger Timothy M. , Kam Audrey E. , Roth Marc T. , Lebeck Lee Cody M. , Lapelusa Michael , Dasari Arvind , Eng Cathy 
Published: June 2021

AbstractBackgroundThe incidence of colorectal cancer in adults younger than age 50 has increased with rates expected to continue to increase over the next decade. The objective of this study is to examine the survival benefit of surgical resection (primary and/or metastatic) versus palliative therapy in this patient population.MethodsWe identified 6708 young adults aged 18–45 years diagnosed with metastatic colorectal cancer (mCRC) from 2004 to 2015 from the SEER database. Overall survival (OS) was analyzed using Kaplan–Meier estimation, log rank test, and multivariate Cox proportional hazards model.ResultsSixty‐three percent of patients in our study underwent primary tumor resection (PTR), with 40% undergoing PTR alone and 23% undergoing both resection of primary disease and metastasectomy. The median OS for patients who underwent both PTR and metastasectomy was 36 months, compared to 13 months for those who did not receive any surgical intervention. The multivariate analysis showed significant OS benefit of receiving both PTR and metastasectomy (HR 0.34, 95% CI: 0.31–0.37, p < 0.001) compared to palliative therapy. Undergoing PTR only and metastasectomy only were also associated with improved OS (HR 0.46, 95% CI: 0.43–0.49, p < 0.001 and HR 0.64, 95% CI: 0.55–0.76, p < 0.001, respectively).ConclusionThis is the largest observational study to evaluate survival outcomes in young‐onset mCRC patients and the role of surgical intervention of the primary and/or metastatic site. Our study provides evidence of statistically significant increase in OS for young mCRC patients who undergo surgical intervention of the primary and/or metastatic site.
Influencer marketing in China: The roles of parasocial identification, consumer engagement, and inferences of manipulative intent
Authors: Chen Kuan‐Ju , Lin Jhih‐Syuan (Elaine) , Shan Yan 
Published: June 2021

AbstractConsidering trends in influencer marketing, this research explores the mechanism by which Chinese consumers develop responses to branded content on social media, especially the key psychological factors that may positively or negatively affect that process. To substantiate the proposed conceptual frameworks, we used data from a nationwide online survey (N = 511) conducted in China. The results revealed that consumers' parasocial identification with social media influencers contributed to their engagement with, trust in, and attitude toward branded content associated with the influencers. Their engagement with branded content also mediated the relationships between parasocial identification and trust in as well as attitude toward such content. Beyond that, inferences of manipulative intent played a significant role in moderating those indirect effects. The findings are interpreted in terms of theoretical and managerial implications.
Molecular Gears: From Solution to Surfaces
Authors: Gisbert Yohan , Abid Seifallah , Kammerer Claire , Rapenne Gwénaël 
Published: June 2021

AbstractThis review highlights the major efforts devoted to the development of molecular gears over the past 40 years, from pioneering covalent bis‐triptycyl systems undergoing intramolecular correlated rotation in solution, to the most recent examples of gearing systems anchored on a surface, which allow intermolecular transmission of mechanical power. Emphasis is laid on the different strategies devised progressively to control the architectures of molecular bevel and spur gears, as intramolecular systems in solution or intermolecular systems on surfaces, while aiming at increased efficiency, complexity and functionality.
Effect of thermal boundary conditions on heat transfer performance of liquid–liquid Taylor flow through a microchannel with obstruction
Authors: Sankepally Chandrasekhar , Patel Akash , Vysyaraju Raju R. K. 
Published: June 2021

AbstractTwo‐phase Taylor flow through microchannels has attracted the attention of many researchers because of its enhanced heat transfer characteristics. The heat transfer rate of two‐phase flow is higher than the basic primary fluid flow through the same microchannel. This higher heat transfer rate is further improved by droplet manipulation techniques along with various thermal boundary conditions, which is the aim of the present work. In this novel work, the numerical investigation was carried out on liquid–liquid Taylor flow and heat transfer characteristics through a 2D rectangular microchannel with an obstruction in the path. The effect of capillary number, size, and position of the obstruction on heat transfer behaviour of Taylor flow was also analyzed. The height and length of the microchannel were taken as 100 and 3000 μm, respectively. Water and mineral oil were taken as working fluids. Results show that the Nusselt number of Taylor flow with obstruction increases by 76% compared to single‐phase flow and significantly increases over the Taylor flow without obstruction. Further, the study explored the effect of modulated wall temperature on Taylor flow heat transfer for optimum parameters of capillary number, size, and position of the obstruction and an improvement of 290% was achieved in heat transfer compared to that of single‐phase flows.
Multi‐agent decentralized microgrids planning considering long‐term demand response model
Authors: Nemati Bizhan , Hosseini Seyed Mohammad Hassan 
Published: June 2021

SummaryDemand‐side management resources, such as demand response programs (DRPs) are useful options for the reduction of energy cost according to the viewpoint of department of energy. Utilizing these resources in long‐term studies like generation and transmission expansion planning (GTEP) needs long‐term modeling. In this article, the GTEP was developed considering long‐term model of DRPs using a cooperative game theory approach to minimize the total cost of microgrids (MGs). A two‐level decision‐making method was used to develop this model. On the top level, investment decisions were cooperatively made by MGs and a stochastic chance‐constrained mixed integer linear programming formulation was modeled for investment decisions with operational uncertainties on the bottom level. The self‐sufficiency index was also considered that guarantees supply of sensitive loads in islanding mode. Effectiveness of the proposed model was shown by numerical studies in three cases where in Case 1, load of each smart MG (SMG) will be supplied using its own resources and trading with the retail market. In Case 2, SMGs can also trade with each other in non‐cooperative (profitable) approach and in Case 3, SMGs can trade with each other in cooperative approach. The total cost of SMGs was decreased in Case 2 compared to the previous case by 2.62%, which was due to the use of other SMGs' resources to provide load. Also, the total cost of SMGs was decreased in Case 3 compared to the two previous cases (2.92% and 0.3% decrease compared to the Cases 1 and 2, respectively), which was due to cooperative approach taken by SMGs in this case. In this approach, SMGs provide each other's load without additional cost and try to minimize the total cost of all the SMGs.
The neuroprotective effects of alpha‐lipoic acid on an experimental model of Alzheimer's disease in PC12 cells
Authors: Pei Xinrong , Hu Fangyan , Luo Feiya , Huang Xianglu , Li Xiaoling , Xing Shuxia , Long Dingxin 
Published: June 2021

AbstractWith the growth of the aging population, the prevalence of Alzheimer's disease (AD) has increased and influenced the work and daily life of AD patients, imposing a heavy burden on society and the patients' families. AD is a progressive disease with a long duration, and the pathogenesis is very complicated. Here, we found that alpha‐lipoic acid (LA), an endogenous, naturally synthesized compound, could attenuate amyloid beta fragment (Aβ25–35)‐induced PC12 cell toxicity. Aβ25–35 treatment largely decreased the viability of PC12 cells, increased reactive oxygen species (ROS) levels, and increased the percentage of apoptotic cells, which were accompanied by changes in the expression of the apoptosis‐related genes. Further, the Wnt pathway was inactivated, and the expression of Wnt pathway‐related proteins such as Frizzled2, GSK3β, and phosphorylated GSK3β were dysregulated after Aβ25–35 treatment. LA efficiently attenuated Aβ25–35‐induced PC12 cell apoptosis and downregulated the phosphorylation‐mediated degradation of β‐catenin as well as GSK3β. Our results demonstrate that LA rescues Aβ25–35‐induced neurocytotoxicity through the Wnt–β‐catenin pathway.
Identification of Severe Acute Respiratory Syndrome Coronavirus‐2 inhibitors through in silico structure‐based virtual screening and molecular interaction studies
Authors: Azad Iqbal , Khan Tahmeena , Maurya Akhilesh Kumar , Irfan Azad Mohd. , Mishra Nidhi , Alanazi Amer M. 
Published: June 2021

AbstractThe novel coronavirus Severe Acute Respiratory Syndrome Coronavirus‐2 (SARS‐CoV‐2) or COVID‐19 has caused a worldwide pandemic. The fatal virus has affected the health of human beings as well as the socio‐economic situation all over the world. To date, no concrete medicinal solution has been proposed to combat the viral infection, calling for an urgent, strategic, and cost‐effective drug development approach that may be achievable by applying targeted computational and virtual screening protocols. Immunity is the body's natural defense against disease‐causing pathogens, which can be boosted by consuming plant‐based or natural food products. Active constituents derived from natural sources also scavenge the free radicals and have anti‐inflammatory activities. Herbs and spices have been used for various medicinal purposes. In this study, 2,96 365 natural and synthetic derivatives (ligands) belonging to 102 classes of compounds were obtained from PubChem and assessed on Lipinski's parameters for their potential bioavailability. Out of all the derivatives, 3254 obeyed Lipinski's rule and were virtually screened. The 115 top derivatives were docked against SARS‐CoV‐2, SARS‐CoV, MERS‐CoV, and HCoV‐HKV1 main proteases (Mpros) as receptors using AutoDock Vina, AutoDock, and iGEMDOCK 2.1. The lowest binding energy was exhibited by ligands 2 and 6 against all the four Mpros. The molecular dynamic simulation was also performed with ligand 6 using the GROMACS package. Good bioactivity scores, absorption, distribution, metabolism, excretion, and toxicity profile and drug‐like pharmacokinetic parameters were also obtained. Hydroxychloroquine was used as the control drug.
Cross‐item learning for volatile demand forecasting: An intervention with predictive analytics
Authors: Chuang Howard Hao‐Chun , Chou Yen‐Chun , Oliva Rogelio 
Published: June 2021

AbstractDespite its importance to OM, demand forecasting has been perceived as a “problem‐solving” exercise; most empirical work in the field has focused on explanatory models but neglected prediction problems that are part of empirical science. The present study, involving one of the leading electronics distributors in the world, aims to improve prediction accuracy under high demand volatility for procurement managers to make better inventory decisions. In response to requests for an integrated forecasting methodology, we undertook an iterative process based on three guiding principles—data pooling, theory‐informed feature engineering, and ensemble‐based machine learning. The resulting framework managed to improve forecast accuracy significantly and is applicable to a broad range of situations. We present reflections and insights derived abductively through engagement with managers in this problem situation. This “problem‐driven” process corresponds to intervention as a research strategy that can foster theoretical and methodological innovations in OM. Our contribution goes beyond the development of the prediction framework as it elucidates ways OM researchers could leverage theoretical foundations to inform feature derivation and model construction. We posit that this work points to a way forward to the combination of OM principles with the emerging innovations in data science and artificial intelligence.
Materials selection using patent information: A function‐ and application‐based analysis of aircraft interior structures
Authors: Santos C.V. , Soares M.S. , Oliveira B.S. , Faria L.I.L. , Leiva D.R. 
Published: June 2021

AbstractMaterials selection in product design is a complex decision‐making activity due to the necessity of embodying technical requirements into those related to customer, safety, environmental, economic and social aspects. Technological developments have been increasing materials options, thus demanding the manipulation of large amounts of information and data to identify them. This study proposes a monitoring procedure to identify and select materials in innovative product design using patent information. It applies bibliometric techniques to select relevant patents using two different retrieval strategies: (i) driven by the function and (ii) by the application of the product. A case study to search for a more sustainable composite material for aircraft interior structures reveals distinct sets of data and types of technical solutions depending on the patent retrieval strategy used. The function‐based patent retrieval strategy found more disruptive solutions, whereas the application‐based strategy identified mainly improvements in current technology developed by partners of the aeronautical industry.
Investigations on the thermal stability of microstructures generated by different thermal electron beam surface treatments
Authors: Buchwalder A. , Thronicke J. , Holst A. , Hollmann P. , Hengst P. , Zenker R. 
Published: June 2021

AbstractSurface treatments are frequently used to improve the wear and/or corrosion resistance of metal components. In the case of cast iron, the material‐specific graphite limits both its treat‐ability and load‐bearing behaviour. A promising option for overcoming these limitations is provided by combination processes, in which near‐surface graphite is first removed in an initial liquid‐phase surface treatment – such as, e. g., remelting, alloying or cladding using electron beam (EB) – before application of thermochemical processes or hard coatings. A prerequisite for this is sufficient thermal resistance of these microstructures. This was investigated by means of annealing tests. The ranges of temperature used for annealing are based on those typically used for hard coating (250 °C–500 °C), nitriding (400 °C–600 °C) and boriding (600 °C–860 °C). The metastable microstructures produced as a result of rapid solidification during the electron beam liquid‐phase treatments differ in their alloy content and, therefore, in their microstructural components. Hardness measurements after annealing provided an initial indication of thermal stability. Based on these measurements, interesting treatment conditions were analysed in more detail using scanning electron microscopy and x‐ray diffraction. The focus of interest was on the formation of secondary graphite and the dissolution of ledeburitic carbides and other intermetallic phases.
Angular resolution in VCSEL radiant intensity distribution measurements
Authors: Leschhorn Günther , Attenberger Thomas , Schneider Tobias 
Published: June 2021

AbstractVertical cavity surface‐emitting lasers (VCSEL) are getting more and more popular for 3D sensing and time‐of‐flight technology in consumer and automotive applications. VCSEL arrays with hundreds of single emitters are often used. Measurement of the radiant intensity distribution is the key to performing a proper eye safety assessment and designing suitable secondary optics for these emitters.
SFG vibrational spectroscopy for the investigation of interfaces
Authors: Januškevičius Regimantas , Kananavičius Robertas , Umhofer Udo , Niaura Gediminas 
Published: June 2021

AbstractVibrational sum frequency generation (SFG) spectroscopy offers detailed molecular level information on the structure, ordering, and orientation of molecular groups, and the function of monolayers at various interfaces, including buried ones, without noticeable contribution from the bulk phases.
Towards the industrialization of metal additive manufacturing
Authors: Moglia Francesca , Raspa Antonio 
Published: June 2021

AbstractThe automotive and energy sectors are driving the full value chain of additive manufacturing of metal towards a smart, virtual factory, where 3D printing and traditional technologies of metal processing can play side‐by‐side, exploiting their respective potential towards an efficient and productive process chain. The end users and system integrators recognize the fundamental role that photonics plays towards fully automated additive manufacturing: let's see why and how.
Analysis of the prochloraz‐Mn resistance risk and its molecular basis in Mycogone rosea from Agaricus bisporus
Authors: Du Yixin , Shi Niuniu , Ruan Hongchun , Miao Jianqiang , Yan He , Shi Chunxi , Chen Furu , Liu Xili 
Published: June 2021

AbstractBACKGROUNDWet bubble disease (WBD), caused by Mycogone rosea, is one of the most serious diseases of white button mushroom (Agaricus bisporus) in China. Prochloraz‐Mn is the main fungicide used in the management of WBD. To provide essential references for early warning of prochloraz‐Mn resistance and management of WBD, this study was performed to assess the resistance risk to prochloraz‐Mn in M. rosea, as well as its underlying resistance mechanism.RESULTSEight stable prochloraz‐Mn‐resistant mutants with a mutation frequency of 1.3 × 10−4 were generated and resistance factors ranged from 2.57 to 7.80 after 10 successive culture transfers. All eight resistant mutants exhibited fitness penalties in decreased sporulation and pathogenicity. Positive cross‐resistance was observed between prochloraz‐Mn and prochloraz or imazalil, but not between prochloraz‐Mn and diniconazole, fenbuconazole, thiabendazole or picoxystrobin. The point mutation F511I in MrCYP51 protein was found in six mutants and the point mutation G464S occurred only in the SDW2‐2‐1M mutant. The up‐regulated expression of MrCYP51 in all mutants was less than that in their parental isolates when exposed to prochloraz‐Mn. Without prochloraz‐Mn treatment, MrCYP51 expression was up‐regulated in GX203‐3‐1M and FJ58‐2‐1M mutants, whereas it was down‐regulated in other mutants compared to their respective parental isolates.CONCLUSIONGenotypes with two separate point mutations, F511I and G464S in MrCYP51, may be associated with resistance to prochloraz‐Mn in M. rosea. The resistance risk of M. rosea to prochloraz‐Mn is likely to be low to moderate, indicating that prochloraz‐Mn can still be used reasonably to control WBD. © 2021 Society of Chemical Industry.
Pityriacitrin marine alkaloids as novel antiviral and anti‐phytopathogenic‐fungus agents
Authors: Wang Tie‐Nan , Yang Shan , Shi Shao‐Yang , Yuan Wen‐Ying , Chen Jian‐Xin , Duan Zhong‐Yu , Lu Ai‐Dang , Wang Zi‐Wen , Wang Qing‐Min 
Published: June 2021

AbstractBACKGROUNDPlant diseases have been gripping agricultural production, seriously affecting the growth and yields of crops. Marine natural products are an important source for novel drugs discovery. In this work, pityriacitrin marine alkaloids were selected as the parent structures. A series of pityriacitrin alkaloid analogues were rationally designed, synthesized and evaluated for their antiviral activities and fungicidal activities.RESULTMost of these compounds were demonstrated to have higher antiviral activities than ribavirin. Particularly, compounds 3a, 3e, 8f, 8g, and 9g displayed higher anti‐TMV activities than ningnanmycin at 500 μg·mL−1. Mechanism research revealed that 3a could bind to TMV CP with an excellent affinity (Ka = 8.67 × 106 L·mol−1), thus interfere with the assembly of virus particles. These alkaloids also showed broad‐spectrum fungicidal activities against eight kinds of phytopathogenic fungi. Compound 5f with 1.43–3.84 μg·mL−1 EC50 value against three fungi emerged as a new fungicidal candidate.CONCLUSIONPityriacitrin alkaloids and their derivatives were synthesized and evaluated for anti‐TMV and fungicidal activities for the first time. Compounds 3a and 5f with excellent activities emerged as new candidates for antiviral research and fungicidal research, respectively. Current work provided a new idea for the molecular design and development of novel plant virus and fungi inhibitors in the future. © 2021 Society of Chemical Industry.
Evaluation of synthetic satellite images computed from radiative transfer models over a region of South America using WRF and GOES‐13/16 observations
Authors: Cutraro Federico , Galligani Victoria Sol , García Skabar Yanina 
Published: June 2021

AbstractSynthetic infrared GOES‐13 observations are generated from a high‐resolution (4 km) Weather Research and Forecasting (WRF) model run over Argentina for a meteorological event of deep moist convection using two different radiative transfer models. The fast operational Community Radiative Transfer Model (CRTM) and the physics‐based research model Atmospheric Radiative Transfer Simulator (ARTS) are compared with the available observations. CRTM shows good results at a low computational cost, and is a good candidate for operational use in the region. CRTM and ARTS synthetic satellite images show differences due to the treatment of the bulk scattering properties of the frozen hydrometeor species, especially around the cloud shield. With this WRF+CRTM configuration, a long‐term evaluation is conducted over 12 hr forecasts from one month of data in a region of the South American autumn with four different initializations at 0000, 0600, 1200 and 1800 UTC, as operational at the National Meteorological Service of Argentina. The simulated and observed GOES‐16 Advanced Baseline Imager (ABI) brightness temperatures (BTs) in the 6.9 m channel show good agreement with an averaged bias of  K (RMSE 21.7 K), whereas the performances in the IR window channels show slightly larger averaged BT differences of 3.5 K (RMSE 15.2 K). BT differences between the 6.9 and 10.3 m channels indicate that the WRF+CRTM simulations underestimate low to mid‐level clouds and to a lesser extent high‐level clouds. In the BT (10.3 m) range between approximately 215 and 230 K, there is an overestimation of clouds with BT differences above 0 K between 6.9 and 10.3 m. This could be due to the misrepresentation of upper‐level clouds.
New theoretical methods for the exploration of functional landscapes
Authors: Röhr Merle I. S. 
Published: June 2021

AbstractMolecular functionality can be often directly attributed to given properties of the electronic wavefunction. Analogous to the potential energy surface, these properties can be represented as a function of the nuclear coordinates, giving rise to molecular “functional landscapes.” However, so far there has been no possibility for their systematic investigation. This perspective aims to discuss the development of new theoretical methods based on the multistate extension of the metadynamics approach, employing electronic collective variables. This emerging methodology allows to explore functional landscapes and to gain a deeper understanding of the structure–function relation in molecules and complex molecular systems in the ground and excited electronic state.