bluuebunny/crossref_metadata_2025 huggingface dataset:
Fe‐Doped Porous g‐C3N4: An Efficient Electrocatalyst with Fe‐N Active Sites for Electrocatalytic Hydrogen Evolution Reaction under Alkaline Conditions
Authors: Wang Hefang , Sun Peidong , Jiang Hui , Li Xiaobao , Ma Xiaofei , Shao Kai , Wang Cui
Published: June 2022

Herein, Fe‐C3N4‐TU was prepared by one‐step pyrolysis of melamine (MA, carbon and nitrogen sources of g‐C3N4) and Fe(NO3)3 ⋅ 9H2O using thiourea (TU) as a pore‐forming agent. Fe‐C3N4‐TU exhibits a low Tafel slope of 82 mV ⋅ dec−1 and a low overpotential of 206 mV at the current density of 10 mA ⋅ cm−2. The good HER (Electrocatalytic hydrogen evolution reaction) catalytic performance of Fe‐C3N4‐TU is attributed to the high intrinsic activity of Fe−N(III) coordination structure and porous structure with the intersecting channels. The Fe−N(III) coordination structure is proved by the characterized results of the XRD, XPS, and FTIR, which originates from the strong affinity of rich pyridine N in the g‐C3N4 to Fe ions. Simultaneously, the addition of TU as a pore‐forming agent induces the formation of large specific surface area and mesoporous structures with large pore diameters, which facilitate the exposure of Fe−N bonds and promotes H adsorption in the HER process.
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

cesium 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

Diabetes 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

A 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

Poly(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

An 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

We 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

Deutschland 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

Analyzing 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

Climate 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

We 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

The 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

Intelligent 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

The 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

Marble 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

The 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.
Skillstrainings und Simulationen in der generalistischen Pflegeausbildung
Authors: Obermeier Lisa , Süßmann Stefanie
Published: June 2022

Zusammenfassung. Im ersten Teil der Publikationsreihe zum Thema „Problemorientiertes Curriculum für die generalistische Pflegeausbildung“ (Feilhuber & Süßmann, 2022) konnte bereits ein Einblick in das Curriculum der Berufsfachschule für Pflege am Klinikum Passau und in die verschiedenen Lern- und Lehrformen gewonnen werden. In dieser Arbeit werden die Bereiche Skillstraining und Simulationen näher beleuchtet und Umsetzungsbeispiele gegeben.
Freiheit und Selbstständigkeit trotz Nierenersatztherapie
Authors: Wiederhold Dietmar , Tast Christa
Published: June 2022

Zusammenfassung. Die Peritonealdialyse bietet gegenüber der Hämodialyse zahlreiche Vorteile. In diesem Artikel werden die Voraussetzungen und Strategien eines Patiententrainings vorgestellt, damit Erkrankte die Nierenersatztherapie als Heimbehandlung durchführen können. Dadurch werden sie zu Experten ihrer eigenen Behandlung und erlangen ein höheres Maß an Selbstwirksamkeit und Selbstständigkeit.
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

Using 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

The 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.
A multiscale X-ray phase-contrast tomography dataset of a whole human left lung
Authors: Xian R. Patrick , Walsh Claire L. , Verleden Stijn E. , Wagner Willi L. , Bellier Alexandre , Marussi Sebastian , Ackermann Maximilian , Jonigk Danny D. , Jacob Joseph , Lee Peter D. , Tafforeau Paul
Published: June 2022

Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging resulted in hierarchical phase-contrast tomography, a comprehensive approach to address the challenge of organ-scale (up to tens of centimeters) soft tissue imaging with resolution and sensitivity down to the cellular level. Using this technique, we imaged ex vivo an entire human left lung at an isotropic voxel size of 25.08 μm along with local zooms down to 6.05–6.5 μm and 2.45–2.5 μm in voxel size. The high tissue contrast offered by the fourth-generation synchrotron source at the European Synchrotron Radiation Facility reveals the complex multiscale anatomical constitution of the human lung from the macroscopic (centimeter) down to the microscopic (micrometer) scale. The dataset provides comprehensive organ-scale 3D information of the secondary pulmonary lobules and delineates the microstructure of lung nodules with unprecedented detail.
AnimalTraits - a curated animal trait database for body mass, metabolic rate and brain size
Authors: Herberstein Marie E. , McLean Donald James , Lowe Elizabeth , Wolff Jonas O. , Khan Md Kawsar , Smith Kaitlyn , Allen Andrew P. , Bulbert Matthew , Buzatto Bruno A. , Eldridge Mark D. B. , Falster Daniel , Fernandez Winzer Laura , Griffith Simon C. , Madin Joshua S. , Narendra Ajay , Westoby Mark , Whiting Martin J. , Wright Ian J. , Carthey Alexandra J. R.
Published: June 2022

Trait databases have become important resources for large-scale comparative studies in ecology and evolution. Here we introduce the AnimalTraits database, a curated database of body mass, metabolic rate and brain size, in standardised units, for terrestrial animals. The database has broad taxonomic breadth, including tetrapods, arthropods, molluscs and annelids from almost 2000 species and 1000 genera. All data recorded in the database are sourced from their original empirical publication, and the original metrics and measurements are included with each record. This allows for subsequent data transformations as required. We have included rich metadata to allow users to filter the dataset. The additional R scripts we provide will assist researchers with aggregating standardised observations into species-level trait values. Our goals are to provide this resource without restrictions, to keep the AnimalTraits database current, and to grow the number of relevant traits in the future.
NASA Global Daily Downscaled Projections, CMIP6
Authors: Thrasher Bridget , Wang Weile , Michaelis Andrew , Melton Forrest , Lee Tsengdar , Nemani Ramakrishna
Published: June 2022

We describe the latest version of the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6). The archive contains downscaled historical and future projections for 1950–2100 based on output from Phase 6 of the Climate Model Intercomparison Project (CMIP6). The downscaled products were produced using a daily variant of the monthly bias correction/spatial disaggregation (BCSD) method and are at 1/4-degree horizontal resolution. Currently, eight variables from five CMIP6 experiments (historical, SSP126, SSP245, SSP370, and SSP585) are provided as procurable from thirty-five global climate models.
Demonstration of static electricity induced luminescence
Authors: Kikunaga Kazuya , Terasaki Nao
Published: June 2022

Can we visualise static electricity, which everyone in the world knows about? Since static electricity is generated by contact or peeling, it may be a source of malfunction of electronic components, whose importance is steadily increasing, and even cause explosion and fire. As static electricity is invisible, makeshift measures of static electricity are taken on various surfaces; there is also a common view that it is hard to take effective measures. Here we present a specific luminescent material, SrAl2O4: Eu2+, which emits light at excitation by an electrostatic charge in the air. Till now, in the interaction between electricity and luminescent materials, it was considered that emission of light is enabled by accelerated particles colliding with the luminescent materialin vacuo. There have been no reports on luminescent materials being responsive to low-energy electrostatic charges under atmospheric pressure. Using SrAl2O4: Eu2+luminescent material discovered by us, we succeeded for the first time in static electricity visualisation in the form of green light. In addition to the fact that such static electricity induced luminescence assists in solving electrostatic-related problems in the industry, it also provides a new measurement method that facilitates the observation of previously invisible electric charges in the air.
Midtrimester cervical elastography in pregnant women with a history of loop electrosurgical excision procedure (LEEP)
Authors: Cha Hyun-Hwa , Seong Won Joon , Kim Hyun Mi , Seol Hyun-Joo , Sung Ji-Hee , Park Hyun Soo , Hwang Han-Sung , Kwon Hayan , Jung Yun Ji , Kwon Ja-Young , Oh Soo-young
Published: June 2022

We aimed to compare cervical elastographic parameters based on a previous loop electrosurgical excision procedure (LEEP) and to determine whether they can predict preterm delivery in pregnant women with a history of LEEP. This multicenter prospective case–control study included 71 singleton pregnant women at 14–24 weeks of gestation with a history of LEEP and 1:2 gestational age-matched controls. We performed cervical elastography using E-cervix and compared maternal characteristics, delivery outcomes, cervical length (CL), and elastographic parameters between the two groups. The median mid-trimester CL was significantly shorter in the LEEP group. Most elastographic parameters, including internal os (IOS), external os (EOS), elasticity contrast index (ECI), and hardness ratio (HR), were significantly different in the two groups. In the LEEP group, the sPTD group compared to the term delivery (TD) group showed a higher rate of previous sPTD (50% vs. 1.7%, p < 0.001), higher IOS and ECI (IOS: 0.28 [0.12–0.37] vs. 0.19 [0.10–0.37], p = 0.029; ECI: 3.89 [1.79–4.86] vs. 2.73 [1.48–5.43], p = 0.019), and lower HR (59.97 [43.88–92.43] vs. 79.06 [36.87–95.40], p = 0.028), but there was no significant difference in CL (2.92 [2.16–3.76] vs. 3.13 [1.50–3.16], p = 0.247). In conclusion, we demonstrated that a history of LEEP was associated with a change in cervical strain measured in mid-trimester as well as with CL shortening. We also showed that cervical elastography can be useful in predicting sPTD in pregnant women with previous LEEP.
Hiding or sharing? Technology upgrade, technology spillover and information asymmetry
Authors: Liu Guanmei , Wang Haijun , Lang Xiao , Yu Kai
Published: June 2022

One giant manufacturer (M1) upgrades a common supplier’s production technology through investments, while the supplier (it), holding the technology spillover information privately, may spill the upgraded technology over to a rival manufacturer (M2). This study examines whether the supplier should share the information of technology spillover with M1. We first find technology spillover hurts not only M1 but also the supplier and M2, when the production cost is high and the investment cost is low at a high level of the real technology spillover degree, no matter whether the supplier shares the technology spillover information or not. As such, it may be unwise for the supplier to implement technology spillover and unprofitable for M2 to take a free ride of technology spillover conditionally. Furthermore, when the supplier can receive more payoffs by spilling the upgraded technology over to M2 under certain conditions, it should share (hide) the technology spillover information, and such sharing (hiding) strategy may create a “win-win-win”’ outcome for the three players, if the supplier is of low (high)-spillover type and the real degree of technology spillover falls into a high range.
Künstliche Intelligenz in der Radiologie
Authors: Kromrey Marie-Luise , Grothe Sascha , Nell Christopher , Rosenberg Britta
Published: June 2022

Die klinische Radiologie mit ihren digitalen Daten ist geradezu prädestiniert für den erfolgreichen Einsatz der künstlichen Intelligenz (KI). Am Beispiel verschiedener praktischer
Anwendungen wird nachfolgend dargestellt, wo und wie die KI in der Radiologie eingesetzt wird und dabei auch die Frage beantwortet, inwieweit sie Radiolog*innen ersetzen kann.
Radiologische Diagnostik bei Schwerhörigkeit im Kindesalter
Authors: Vogl Thomas J. , Helal Rania
Published: June 2022

Da eine Schwerhörigkeit im Kindesalter schwerwiegende Folgen auf die gesamte Entwicklung des Kindes haben kann, ist es äußerst wichtig, so früh wie möglich eine genaue Diagnostik zu
erstellen. In der bildgebenden Diagnostik werden mittels CT des Felsenbeins, DVT oder MRT Veränderungen und Erkrankungen von Cochlea, Mastoid, Mittelohr, Hörnerv, Kleinhirnbrückenwinkel und
Hörbahn erfasst.
Nebennierenkrisen erkennen und zügig behandeln
Authors: Bonfig Walter
Published: June 2022

Wenn die Nebenniere – etwa aufgrund eines genetischen Defekts – nicht richtig arbeitet, kann es schnell zu einer Nebennierenkrise kommen. Klein- und Schulkinder sind besonders gefährdet. Rechtzeitiges Erkennen und eine schnelle Therapie sind dann immens wichtig.
Aortoiliac Occlusion Disease
Authors: Rossi Umberto G. , Ierardi Anna M. , Cariati Maurizio
Published: June 2022

Leriche syndrome is characterized by abdominal aorta and/or bilateral iliac occlusive disease, with a triad of clinical symptoms and signs such as claudication, erectile dysfunction, and decreased distal pulses. Diagnostic imaging is one of the key factors for diagnosis of the anatomic origin of the Leriche symptoms. We report the case of a 56-year-old man with diagnosis of abdominal aorta and bilateral iliac occlusive disease with a wide collateral vascular network.
Middle East and North African Health Informatics Association (MENAHIA)
Authors: Ghazal Hassan , Alshammari Abdulwahhab , Taweel Adel , ElBokl Ahmed , Nejjari Chakib , Alhuwail Dari , Al-Thani Dena , Al-Jafar Eiman , Wahba Hoda , Alrishidi Mohammed , Hamdi Mounir , Househ Mowafa , El-Hassan Osama , Alnafrani Sana , Kalhori Sharareh Rostam Niakan , Emara Tamer , Alam Tanvir , El Otmani Dehbi Zineb , Al-Shorbaji Najeeb
Published: June 2022

The region of the Middle East and North Africa (MENA) is diverse and retains a superior growth potential. It benefits from a privileged geographical location with big markets, a young and growing educated population, and competitive advantages in several industries. Regardless of their differences, countries face shared concerns, most notably in health. In response to the COVID-19 pandemic, MENA countries enact reforms to create a more robust and inclusive digital health systems to increase growth, development, and integrity. Throughout the coordinated containment and mitigation efforts, most of the countries have integrated digital technologies into the health systems. These procedures include digital government initiatives, the introduction of digital health training courses, live video surgeries and virtual patient monitoring, rural and remote telemedicine programs, and the development of a national electronic health records (EHR) system. Each country took necessary actions to address equity, literacy, and development of resilient health systems. The nine featured countries in this report illustrate the diversity among the MENA region and account for major opportunities and achievements as well as promises and challenges that “digital health” presents for its populations.
Posttreatment Changes of the Elbow
Authors: Grieser Thomas
Published: June 2022

Radiologists should be familiar with the typical surgical procedures applied at the elbow and aware of the spectrum of normal and pathologic appearances of posttreatment situations throughout all radiologic modalities. Most important in the case of posttraumatic surgical elbow procedures is correct postoperative elbow joint alignment, appropriate fixation of joint-forming fragments, and proper insertion of screws, plates, and anchor devices that do not conflict with intra-articular or bony structures. To report soft tissue repair procedures correctly, radiologists need to know the broad spectrum of different techniques applied and their appearance on magnetic resonance imaging.
Alleviative Effect of Herbal Extract Containing Phytoconstituents of Bambusa vulgaris and Opuntia ficus-indica against AOM/DSS-Induced Colorectal-Carcinoma-Bearing Mice
Authors: Komala M. , Ravishankar C. , Jayaram Anbu
Published: June 2022

The study includes preliminary phytochemical screening and assessing alleviative effects of ethanolic extract of Bambusa vulgaris shoots and Opuntia ficus-indica fruits (EEBO) on azoxymethane/dextran sodium sulfate (AOM/DSS)-induced colorectal cancer in rodents. Acute oral toxicity study was performed to find the therapeutic dose of EEBO. In animals, cancer was induced by single injection of AOM 10 mg/kg intraperitoneally followed by supply of three repeated cycles of 2.5% of DSS solution. Then animals were treated with EEBO from third day of experiment and treatment was continued throughout the experimental period. The anticancer effect was assessed by studying body weight (b. wt) changes, macroanatomy, antioxidant level, and microanatomy of colon. The phytochemical evaluation revealed the presence of alkaloid, glycoside, carbohydrate, and flavonoid in bamboo extract, whereas glycoside and flavonoid in cactus extract. The results found that EEBO increases the b. wt and level of antioxidants like sodium dismutase, glutathione, and catalase and meanwhile decreases malondialdehyde. Macroanatomy study indicated a decrease in the numbers of adenoma and inflammatory signs in the treated group when compared with diseased group. Histopathology revealed that the presence of EEBO improved the colon histoarchitecture similar to normal and masked the crypt appearance. Decreased chromosomal aberrations and micronucleus numbers were observed in EEBO treated group. Overall, results suggest that the EEBO 400 mg/kg exhibited highest activity compared with 200 and 100 mg/kg and the effect may be attributed to its antigenotoxic or antioxidant effect.
Leading through a pandemic
Authors: Matthews Sue
Published: June 2022

Leading in a crisis has been studied and written about in the past. But, leading in a crisis the scale and length of the pandemic has very few publications. Implications for leaders are to lead with confidence and transparency.
Concurrent 1. Presentation for: The role of faulting in Northern Carnarvon’s sub-basins in transferring very high overpressure
Authors: Hoskin Edward
Published: June 2022

Presented on Tuesday 17 May: Session 1 Australia’s Northern Carnarvon Basin has experienced a varied geological history with periods of extension and thermal subsidence giving rise to separate sub-basins. Between the sub-basins the sequences of strata, their age, depth and rate of burial, and rock type vary greatly. Contrasts in rock type and burial rates are key variables that control generation of overpressure and, as such, create a wide range of pore pressure conditions from hydrostatic pressure to overpressure levels approaching values of vertical stress. Often these contrasting pressures can be situated relatively proximal to one another in both a horizontal and lateral sense. To improve pre-drill prediction capabilities for well planning in Northern Carnarvon, a study was completed in 2013 that included over 600 exploration wells and included reporting on areas at increased risk of high overpressure. One of the study findings was that reservoirs at sub-basin boundaries were often where the pressure was most variable and difficult to predict. The reason pressure was difficult to predict in these areas was due to high overpressure being transferred via faults at the margin of early Jurassic to early Cretaceous depocentres. In 2015, Hoskin et al. published the paper ‘Influence of faulting on reservoir overpressure distribution in the Northern Carnarvon Basin’ and this extended abstract looks at the Winchester-1 well, drilled after data were compiled for the original study, that validates the model presented in 2015, and also poses additional questions about the transfer of pressure. To access the presentation click the link on the right. To read the full paper click here
Concurrent 1. Presentation for: Passive microseismic – direct hydrocarbon sensing with minimal environmental impact
Authors: Debenham Helen
Published: June 2022

Presented on Tuesday 17 May: Session 1 A method for directly detecting hydrocarbons with minimal environmental impact is presented here with deployment examples from a recent Canning Basin project. To maintain their social license to operate, oil and gas explorers and producers must seek to reduce their environmental footprint and regulatory authorities are required to reduce impact to an acceptable and as low as reasonably practical level. This creates a window of opportunity for advanced, disruptive technologies, which avoid dry holes and shorten the appraisal and development timeframe, while minimising the impact on the environment. Low-frequency seismic is such a technology and here we describe its onshore application, we also briefly touch on the offshore application. Passive microseismic surveys are well known in engineering geology and seismology; however, in the oil and gas industry it is a relatively new geophysical area and their usage is increasing every year. Passive microseismic surveys are a solution both for exploration, de-risking near-field step-outs and siting infill wells in oil and gas accumulations. During August–September 2021, passive seismic data was acquired in the Canning Basin of Western Australia for Buru Energy. The author (Helen Debenham) was on site for the deployment and shares here details of the successes and challenges of data acquisition in the remote desert regions of Australia. To access the presentation click the link on the right. To read the full paper click here
Concurrent 2. Presentation for: Naturally derived carbon material for hydrogen storage
Authors: Muhammed Nasiru Salahu
Published: June 2022

Presented on Tuesday 17 May: Session 2 Over the last few decades, hydrogen storage has become a vital issue for hydrogen technologies. Several techniques, such as adsorbents, hydrides, nanomaterials, metal–organic frameworks and porous polymers, have been widely explored for hydrogen storage. Although some techniques are promising, there are still challenges, such as operating temperature and pressure, cyclic reversibility and higher hydrogen content. The concept of carbon-based nanomaterials in hydrogen storage, among all the systems that are up-and-coming, appears to be promising, especially the carbon nanotubes (CNTs), activated carbons, and carbon particle systems. This work reports on the development of carbon material from naturally available biomass, such as waste date leafs, through the pyrolysis method and its hydrogen capacity and comparison with commercial CNTs. The synthesised carbon nanomaterial was characterised using field emission scanning electron microscopy, transmission electron microscopy, energy-dispersive X-ray spectroscopy, Raman spectroscopy, and the Brunauer–Emmett–Teller method. The date leaf carbon nanomaterial was found to have better surface area and pore‐size distribution than CNTs, which is promising for hydrogen storage. To access the presentation click the link on the right. To read the full paper click here
Concurrent 3. Presentation for: The continuing role of gas as the natural companion to renewable energy
Authors: Wilkes Martin
Published: June 2022

Presented on Tuesday 17 May: Session 3 Four years ago I gave a presentation entitled ‘Repositioning Gas in the Energy Mix’, where we outlined the need to continue to invest in natural gas in order to enable the penetration of renewable energy into the market. In that presentation we highlighted the danger of the ‘green, cheap squeeze’ on gas; squeezed by cleaner renewables on the one hand, and cheaper coal on the other, and proposed changing the messaging away from seeing gas as a transition fuel to acknowledging the longer-term enabling role gas would have to play in the energy mix. Since then several countries have managed to achieve significant reductions in emissions due to power generation, and we now have evidence that supports the continuing role of natural gas in the energy mix. This presentation will review the progress made in emissions’ reductions over the past few years, examining the key issues and confirming the impact that increasing amounts of renewable energy has on existing power generation and supply systems. We will also examine and provide insights into the issues requirements for further reductions in emission levels. To access the presentation click the link on the right. To read the full paper click here
Concurrent 3. Presentation for: Well productivity trends in Queensland coal seam gas and the incremental well breakeven
Authors: Zeng Jimmy
Published: June 2022

Presented on Tuesday 17 May: Session 3 Development of coal seam gas (CSG) in Queensland (QLD) for export as liquefied natural gas (LNG) and domestic pipeline gas over the past decade has been a major Australian energy sector story. During the ramp-up period in 2015, public attention was drawn to the potential impacts of exported gas on the overall supply/demand balance and pricing outcomes for the domestic gas market. An overarching expectation of a ‘supply shortfall’ in the domestic gas market even with the growth in CSG development has taken hold as a result. This paper examines the historical record in the CSG upstream, reviewing reserves, production levels, and providing an analysis of average well flowrates. Upcoming development projects are set within this context of observed declining average well performance, and a range of ex-field breakeven gas prices to incentivise the ‘incremental CSG well’ are discussed. Maintenance of per well costs at low levels is a key factor influencing the breakeven level of ‘brownfield’ development. The analysis concludes with a reiteration of the perceived importance of CSG development for meeting expected supply shortfalls in the domestic market. Upstream risks (reserves, well performance) over the next decade are unlikely to be the major influence on CSG’s relevance to the domestic market (i.e. development is not resource-constrained). Rather, customer willingness to pay current high prices are likely to provide the key demand constraint – notwithstanding the possibility of new CSG acreage being developed at lower breakevens. To access the presentation click the link on the right. To read the full paper click here