bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Mechanistic Approach on the Cs2CO3 Mediated Synthesis of 4‐Azaindole Analogues Bearing Pyridine‐3‐Carboxamide and 1‐Phenylethanone
Authors: Atchuta Ramarao T. , Jha Anjali , Sen Anik 
Published: June 2022

Abstractcesium carbonate mediated synthesis of desired 1 N‐substituted phenylethanone analogue of 4‐azaindole is carried out in Dimethylformamide. Further formation of derivatives of 6 is produced from desired analogue of 4‐azaindole. The mechanistic pathway is analyzed with density functional theory calculations which supported the experimental results. Due to structural similarity of azaindole core nucleus with purine ring of ATP, it is a promising /attractive molecule to be explored for its biological potential.
Network Pharmacology Analysis and Surface Plasmon Resonance Validation of Active Compounds and Molecular Targets in Siwei Jianbu Decoction for Blood Stasis in Diabetic Patient
Authors: Yu Jingjing , Li Jing , Sun Mingming , Ge Xin , Zhang Xu , Sun Xiaoxue 
Published: June 2022

AbstractDiabetes owns high mortality rate and the pathogenesis remains unclear. The traditional Chinese medicine Siwei Jianbu decoction (SWJB) as an effective treatment for blood stasis in diabetic patients was received increasing attentions. Detailed analysis of potential molecules in this decoction targeting diabetes is warranted. Here, we used network pharmacology analysis, molecular docking and virtual screening methods to determine the pharmacological mechanism of the SWJB decoction. Network relationships among diseases, targets and active components were analyzed to select the target proteins. Molecular docking of 59 active components corresponding to 20 drug targets in the SWJB decoction and molecular dynamic simulation analysis identified three proteins and three drugs with good binding free energies of <−8.5 kcal/mol. Receptor‐based virtual screening for 20 potential targets extracted six proteins and two ligands with a good binding affinity of <−7.5 kcal/mol. Finally, epidermal growth factor (EGF) protein was identified as a target protein and the quercetin present in the SWJB decoction play a significant role in activating the EGF pathway. To validate the reliability of in silico prediction, surface plasmon resonance validation assay was performed and demonstrated that quercetin could bind the EGF protein with an affinity constant of 25.5 μM. Our results indicate that quercetin is a promising drug that can activate EGF interactions and thus warrants further development.
Designing and Anti‐Inflammatory Effectiveness of Novel Phenytoin Derivatives via One Pot Multicomponent Reaction
Authors: Elkanzi Nadia A. A. , Abdelhamid Antar A. , Ali Ali M. 
Published: June 2022

AbstractA new series of phenytoin derivatives4 a‐jhave been designedviaone‐pot three component reaction of aryl aldehyde derivatives1 a‐jwith thiosemicarbazide(2)and benzil (3) in presence of sodium alkoxide. The structure of new target phenytoin derivatives4 a‐jwas assigned on the basis of elemental and spectral data. The newly synthesized products have been screened and studied as anti‐inflammatory effectiveness compared to ibuprofen as a reference drug. It has been found that is compounds4 b, 4 d, 4 h, 4 fand4 jexhibit excellent anti‐inflammatory properties compere to ibuprofen.
Design of Polymer‐in‐Salt Electrolyte for Solid State Lithium Battery with Wide Working Temperature Range
Authors: Bai Shuai , Zhang Xiangxin , Chen Zhou , Lin Junhong , Wang Qiming , Zhang Yining 
Published: June 2022

AbstractPoly(ethylene oxide) (PEO) is an appealing matrix for solid polymer electrolytes (SPEs) due to its superior lithium salt dissolution ability. However, while such PEO‐based SPEs generally exhibit high crystallinity at room temperatures (∼30 °C), which severely hinders the application of SPEs. In this work, a Polymer‐In‐Salt solid electrolyte with a three‐dimensional frame structure was designed and fabricated with PVDF membrane as the frame and PEO‐in‐LiTFSI as a filler (PPIS). PPIS exhibits high ionic conductivity of 4.5×10−5 S m−1 and lithium transference number of 0.53 at room temperature with a wide electrochemical window beyond 5.5 V. Meanwhile, it exhibits excellent interfacial stability which can effectively suppress the growth of lithium dendrite. The assembled LFP/PPIS/Li solid‐state battery exhibits excellent rate performance and cycling stability at 30 °C and 60 °C. In addition, LFP/PPIS/Li pouch cell displays significant safety and functional flexibility.
Managing outpatient flow via an artificial intelligence enabled solution
Authors: Li Ling , Diouf Fatou , Gorkhali Anjee 
Published: June 2022

AbstractAn intelligent decision support information system is applied to develop an artificial intelligence (AI)‐driven solution to reduce patient waiting time in a hospital without an appointment system to improve healthcare service quality. The bottlenecks were identified, and then the healthcare service process was reengineered through the proposed shortest‐consultation time (SCT) model to increase the capacity for serving patients and the synchronization between capacity and patient arrival patterns. The study made several meaningful observations: (1) It is feasible to apply an AI‐driven solution to reduce patient waiting time in a hospital with no appointment system to improve healthcare service quality; (2) analytical models are helpful in identifying characteristics of patient flow problems; (3) the implementation of a few performance factors gives most of the improvements, and (4) theory of constraint (TOC) is a method that can be applied to improve patient service qualification.
The publication dates of Felix de Avelar Brotero's Phytographia Lusitaniae selectior revisited, with notes on nomenclatural novelties published by Brotero in this work
Authors: Silva Vasco , Figueiredo Estrela , Smith Gideon F. 
Published: June 2022

AbstractWe propose that the two volumes of Phytographia Lusitaniae selectior, authored by Felix de Avelar Brotero, and published in Lisbon, Portugal, appeared in 1817 and in 1828, respectively. Publication dates of other publications produced by Brotero are also provided. The correct citation and current status of new names published by Brotero in volumes 1 and 2 of Phytographia Lusitaniae selectior are tabulated.
Die Strompreise der Zukunft
Authors: Haucap Justus , Meinhof Jonathan 
Published: June 2022

ZusammenfassungDeutschland hat im internationalen Vergleich bereits seit langem sehr hohe Strompreise. Da Strom teilweise aus Gas erzeugt wird, haben sich die Preise infolge des Ukrainekriegs weiter erhöht. Aber auch die gestiegenen CO2-Preise zur Reduzierung des CO2-Ausstoßes wirken weiter preistreibend. Bei den grundlegenden Fragen des Strommarktdesigns besteht Handlungsbedarf: bei der Förderung der Stromerzeugung der erneuerbaren Energien, bei der Versorgungssicherheit und bei den Nutzungsentgelten.
Graph representations for the analysis of multi-agent spatiotemporal sports data
Authors: Raabe Dominik , Nabben Reinhard , Memmert Daniel 
Published: June 2022

AbstractAnalyzing tactical patterns in invasion games using multi-agent spatiotemporal data is a challenging task at the intersection of computer and sports science. A fundamental yet understudied problem in this area is finding an optimal data representation for processing athlete trajectories using machine learning algorithms. In the present work, we address this gap by discussing common representations in use and proposeTactical Graphs, an alternative graph-based format capable of producing integrative, contextualized models for machine learning applications. We provide an in-depth, domain-specific motivation of the proposed data representation scheme and show how this approach exploits inherent data traits. We proposeTactical Graph Networks(TGNets), a light-weight, hybrid machine learning architecture sensitive to player interactions. Our method is evaluated with an extensive ablation study and the first comprehensive state of the art comparison between standard feature, state vector, and image-based methods on the same dataset. Experiments were conducted using real-world football data containing short sequences of defensive play labelled according to the outcome of ball winning attempts. The results indicate that TGNets are on par with state-of-the-art deep learning models while exhibiting only a fraction of their complexity. We further demonstrate that selecting the right data representation is crucial as it has a significant influence on model performance. The theoretical findings and the proposed method provide insights and a strong methodological alternative for all classification, prediction or pattern recognition applications in the areas of collective movement analysis, automated match analysis, and performance analysis.
Escape from the heat: thermal stratification in a well-mixed estuary and implications for fish species facing a changing climate
Authors: Mahardja Brian , Bashevkin Samuel M. , Pien Catarina , Nelson Michelle , Davis Brittany E. , Hartman Rosemary 
Published: June 2022

AbstractClimate change may cause organisms to seek thermal refuge from rising temperatures, either by shifting their ranges or seeking microrefugia within their existing ranges. We evaluate the potential for thermal stratification to provide refuge for two fish species in the San Francisco Estuary (Estuary): Chinook Salmon (Oncorhynchus tshawytschaWalbaum, 1792) and Delta Smelt (Hypomesus transpacificusMcAllister, 1963). We compiled water temperature data from multiple monitoring programs to evaluate spatial, daily, hourly, intra-annual, and inter-annual trends in stratification using generalized additive models. We used our models to predict the locations and periods of time that the bottom of the water column could function as thermal refuge for salmon and smelt. Periods in which the bottom was cooler than surface primarily occurred during the peak of summer and during the afternoons, with more prominent stratification during warmer years. Although the Estuary is often exceedingly warm for fish species and well-mixed overall, we identified potential thermal refugia in a long and deep terminal channel for Delta Smelt, and in the periods bordering summer for Chinook Salmon. Thermal stratification may increase as the climate warms, and pockets of cooler water at depth, though limited, may become more important for at-risk fishes in the future.
Large Deviation Estimates for Weakly Interacting Bosons
Authors: Rademacher Simone , Seiringer Robert 
Published: June 2022

AbstractWe study the many-body dynamics of an initially factorized bosonic wave function in the mean-field regime. We prove large deviation estimates for the fluctuations around the condensate. We derive an upper bound extending a recent result to more general interactions. Furthermore, we derive a new lower bound which agrees with the upper bound in leading order.
The Prehistory of Frá Fornjóti ok hans ættmönnum: Connections with the Chronicon Lethrense and their Consequences
Authors: Allport Ben 
Published: June 2022

AbstractThe Old Norse origin myth known asFrá Fornjóti ok hans ættmönnum, which claims that Norway was founded by a pair of brothers named Nórr and Górr, is preserved in two distinct variants in the late fourteenth-century Icelandic manuscript known asFlateyjarbók. One variant,Fundinn Noregr, forms the preface toOrkneyinga sagaand had therefore come into existence by c. 1230, whereas the other,Hversu Noregr byggðist, is not attested before c. 1290. Most scholars have argued thatHversu Noregr byggðistis a derivative ofFundinn Noregr, which was created to prefaceOrkneyinga sagaby the Icelandic scholar Snorri Sturluson. This article draws attention to hitherto-undocumented parallels between both variants ofFrá Fornjótiand a twelfth-century Latin text known as theChronicon LethrenseorLejre Chronicle. To explain these parallels, a new hypothesis for the pre-history ofFrá Fornjótiis formulated: that both variants are independent witnesses to an earlier version of the myth which drew upon theChronicon Lethrenseor a shared model. This hypothesis is tested against arguments supporting the consensus that regardsFundinn Noregras the original, taking the myth’s ideological underpinnings and analogues in Old Norse literature into account. It is suggested that the hypothesis best explains patterns of shared wording revealed by close comparative readings of passages in both variants,Orkneyinga saga, and other contemporary Old Norse texts. The article concludes with speculation about the context in which a previous version of the myth might have been composed.
Intelligent robots for fruit harvesting: recent developments and future challenges
Authors: Zhou Hongyu , Wang Xing , Au Wesley , Kang Hanwen , Chen Chao 
Published: June 2022

AbstractIntelligent robots for fruit harvesting have been actively developed over the past decades to bridge the increasing gap between feeding a rapidly growing population and limited labour resources. Despite significant advancements in this field, widespread use of harvesting robots in orchards is yet to be seen. To identify the challenges and formulate future research and development directions, this work reviews the state-of-the-art of intelligent fruit harvesting robots by comparing their system architectures, visual perception approaches, fruit detachment methods and system performances. The potential reasons behind the inadequate performance of existing harvesting robots are analysed and a novel map of challenges and potential research directions is created, considering both environmental factors and user requirements.
Perspectives on AI adoption in Italy, the role of the Italian AI Strategy
Authors: Saracco Roberto 
Published: June 2022

AbstractThe Industrial landscape in Italy is characterized by small medium enterprises. The information technology sector is teaming with a broad spectrum of players from smaller ones up to large system integrators that have access to the most advanced technologies. The present paper aims at analysing the recently published Italian AI Strategy framing it within the context of the Italian IT industry. It references to data gathered in a small scale survey on AI adoption of Italian IT companies, and provides an analysis of the Italian AI Strategies focusing on the risks that its implementation will have to face and eventually draws three different scenarios on AI adoption in the Italian productive system. The Italian industrial landscape witnessing a growing adoption of AI-enabled solutions, mostly driven by cost efficiency consideration. There are, however, the first indication of leveraging AI to increase the offer portfolio, generating more revenues. New technologies supporting AI in the small, embedded AI and distributed AI come handy in leveraging those data. A concurrent push of the Italian Government to foster AI and to promote standardization and sharing of data (GAIA-X initiative—Italian Regional Hub) will provide further steam to the increased adoption of AI. The paper is structured in the following sections: “Introduction”, “Trends in AI adoption in the industrial context”, “An AI Policy for Italy: commenting on the Italian AI Strategy”, “Future Scenarios” providing a pessimistic, realistic and optimistic views, “Conclusions”.
Seawater signatures in the supracrustal Lewisian Complex, Scotland
Authors: Parnell J. , Boyce A.J. , Næraa T. 
Published: June 2022

AbstractMarble in the supracrustal rocks of the Lewisian Complex, Tiree, includes chlorine-bearing amphiboles, chlorine-rich apatite, sulphur-rich scapolite, albite and phlogopite, all of which are regarded as evidence for evaporites in other metamorphosed sequences. Titanite yields U–Pb ages of ∼1.6 Ga, i.e. late Laxfordian, which excludes a younger imprint of sodium metasomatism. Traces of anhydrite, and isotopically heavy pyrite, also indicate deposition from seawater. Elsewhere in the Hebrides, tourmaline in Lewisian Complex marbles may represent seafloor exhalative deposits. Combined, the evidence suggests Lewisian Complex supracrustal marbles formed in an evaporative environment, like other Palaeoproterozoic successions across the North Atlantic region.
The relationship between dry period length and milk production of Holstein dairy cows in tropical climate: a machine learning approach
Authors: Dallago Gabriel Machado , Pacheco Juscilene Aparecida Silva , dos Santos Roseli Aparecida , de Frias Castro Gustavo Henrique , Verardo Lucas Lima , Guarino Leonardo Rabello , Moreira Eduardo Uba 
Published: June 2022

AbstractThe objective of this retrospective longitudinal study was to evaluate the relationship between dry period length and the production of milk, fat, protein, lactose and total milk solids in the subsequent lactation of Holstein dairy cows under tropical climate. After handling and cleaning of the data provided by the Holstein Cattle Breeders Association of Minas Gerais, data from 32 867 complete lactations of 19 535 Holstein animals that calved between 1993 and 2017 in 122 dairy herds located in Minas Gerais state (Brazil) were analysed. In addition to dry period length, calving age, lactation length, milking frequency, parity, calf status at birth, herd, year, and season of calving were included in the analysis as covariables to account for additional sources of variation. The machine learning algorithms gradient boosting machine, extreme gradient boosting machine, random forest and artificial neural network were used to train models using cross validation. The best model was selected based on four error metrics and used to evaluate the variable importance, the interaction strength between dry period length and the other variables, and to generate partial dependency plots. Random forest was the best model for all production outcomes evaluated. Dry period length was the third most important variable in predicting milk production and its components. No strong interactions were observed between the dry period and the other evaluated variables. The highest milk and lactose productions were observed with a 50-d long dry period, while fat, protein, and total milk solids were the highest with dry period lengths of 38, 38, and 44 d, respectively. Overall, dry period length is associated with the production of milk and its components in the subsequent lactation of Holstein cows under tropical climatic conditions, but the optimum length depends on the production outcome.
Short‐Period Concentric Traveling Ionospheric Disturbances Excited by the Launch of China's Long March 4B Rocket Detected by 1 Hz GNSS Data
Authors: Li Xiaolin , Ding Feng , Yue Xinan , Li Jianyong 
Published: June 2022

AbstractUsing high‐resolution global navigation satellite system data with a temporal resolution of 1 s, we presented observations of short‐period concentric traveling ionospheric disturbances (CTIDs) triggered by the launch of the Long March 4B rocket at 03:26 UT 7 December 2014 in Taiyuan, China. The total electron content (TEC) perturbations observed approximately 22 min after the launch have amplitudes of ∼0.1–0.3 TEC units, horizontal phase velocities of ∼832–1,348 m/s, and durations of ∼600 s. With periods of ∼90–200 s, these disturbances are the shortest‐period TIDs excited during rocket launches reported thus far. The CTIDs began with a quick increase in the amplitude, followed by 5–6 periodic oscillations with decreasing amplitude. A continuous southward propagation of 5 wave fronts was observed, which propagated southward at a distance of ∼450 km in 600 s. A slow decrease in perturbation amplitude during propagation was found. According to the direction of horizontal velocity observed by different stations, we found that the source region of the CTIDs was located ∼140 km south of the launch site. The CTIDs were most likely generated after the ignition of second‐stage rockets above the mesopause region.
Best Practices in Working With Parents and Caregivers of Transgender and Gender Diverse Youth
Authors: Buckloh Lisa M. , Poquiz Jonathan L. , Alioto Anthony , Moyer Danielle N. , Axelrad Marni E. 
Published: June 2022

Objective: Transgender and gender diverse youth (TGD) are seeking psychological and medical care at an increased rate. Psychologists and other mental health providers, both on multidisciplinary teams and in the community, are being called upon to support these youth and their families. Evidence-based comprehensive care is imperative, which includes involving parents and caregivers. Moreover, parental and caregiver acceptance and support are one of the most important protective factors against anxiety, depression, and suicidality. By supporting parents and caregivers along their own journey, mental health providers can improve outcomes for the whole family. Method: This article summarizes key practices for mental health providers in working with parents and caregivers of gender diverse youth. Results: Best practices for working with parents and caregivers include (a) using a comprehensive, individualized, dynamic process for assessment, psychoeducation, and intervention; (b) assisting families in taking an informed and shared decision-making approach to care; (c) addressing parent and caregiver concerns from a risk/benefit perspective; and (d) understanding the parent and caregiver journey, including complex emotions and experiences of loss and grief. Conclusions: Working with parents and caregivers of TGD youth is an integral part of competent gender affirming care. While there is no one path that will be best for all families, using these best practices will assist mental health providers in supporting parents and caregivers as they adapt and support their TGD children and teens. Implications for Impact Statement Pediatric psychologists and other mental health providers are well-positioned to work with parents and caregivers of transgender and gender diverse youth (TGD). This article summarizes some of the best practices for mental health providers when working with caregivers of TGD youth, which is an integral part of competent gender affirming care.
A methodological perspective on learning in the developing brain
Authors: van Duijvenvoorde Anna C. K. , Whitmore Lucy B. , Westhoff Bianca , Mills Kathryn L. 
Published: June 2022

AbstractThe brain undergoes profound development across childhood and adolescence, including continuous changes in brain morphology, connectivity, and functioning that are, in part, dependent on one’s experiences. These neurobiological changes are accompanied by significant changes in children’s and adolescents’ cognitive learning. By drawing from studies in the domains of reading, reinforcement learning, and learning difficulties, we present a brief overview of methodological approaches and research designs that bridge brain- and behavioral research on learning. We argue that ultimately these methods and designs may help to unravel questions such as why learning interventions work, what learning computations change across development, and how learning difficulties are distinct between individuals.